1049 results about "Mineral processing" patented technology

The invention discloses a beneficiation process intelligent optimization control method and system based on a knowledge graph, and relates to the technical field of beneficiation process control, and the method comprises the steps: collecting static attribute data and dynamic operation data, constructing a causal knowledge graph, and obtaining a causal relationship between nodes in the causal knowledge graph and an optimization target constraint; based on a causal relationship between nodes in the causal knowledge graph and optimization target constraints, screening data from a historical database to form a high-value historical data set; according to the high-value historical data set, a reward function model is constructed, a strategy function is trained, and a reinforcement learning control strategy is obtained; running the reinforcement learning control strategy, generating a control instruction, and issuing the control instruction to the target equipment to obtain dynamic optimization control; and performing real-time monitoring on the dynamic optimization control, and performing anti-fact reasoning based on a causal knowledge graph when abnormal deviation of the running state is detected to obtain an anti-fact reasoning result.

The invention relates to the technical field of mineral processing visual detection, and discloses a visual analysis system for detecting the grade of a phosphorite flotation froth layer. The system comprises an image acquisition and decomposition module, a parallel feature extraction module, a dynamic feature fusion module, a foam evolution analysis module and a grade decision output module. The system performs multi-scale decomposition on a foam image, extracts physical and semantic features in parallel, constructs a dynamic fusion network based on bidirectional mapping to perform iterative interaction, and generates a multi-modal feature descriptor. Therefore, self-organizing growth of a foam evolution graph is driven, an evolution track of a key foam primitive is positioned and tracked, a foam grade state vector is formed, and finally, a regulation and control decision is output in combination with external control parameters. According to the system, deep fusion of physical and semantic features and deep analysis of the foam dynamic evolution process are achieved, the accuracy and predictability of foam grade state sensing are improved, and an effective means is provided for accurate control over the flotation process.

The invention discloses a special grinding aid for gold ore and a preparation method thereof, and belongs to the technical field of mineral processing, the special grinding aid for gold ore comprises the following raw materials: a monomer, an initiator, a chain transfer agent and a solvent; the monomers are an unsaturated polyether monomer A and an unsaturated carboxylic acid monomer B; or a monomer C containing an ethylenically unsaturated sulfonic acid group. The preparation method comprises the following steps: putting the raw materials into a water bath kettle, and polymerizing in a separate dropwise adding manner to prepare the special grinding aid for the gold ore. The prepared grinding aid can improve the problems of particle agglomeration, low fine grinding efficiency, low gold dissociation efficiency and the like in the gold ore grinding process, the concentrated utilization of the grinding aid limited in the fields of cement, ceramics and the like is improved, the grinding energy consumption can be reduced, and the material quality can be improved.

The invention relates to the technical field of mineral processing automation, and discloses a metal dissociation degree regulation-based grinding-flotation collaborative process optimization method which comprises the following steps: acquiring multi-dimensional sensor data in a grinding-flotation production process in real time; establishing a reference prediction model offline based on historical process data; in the online operation stage, the working condition drift state of the current process system is quantified and judged online; when it is judged that significant working condition drifting occurs, a residual compensation model is constructed online; and fusing the prediction result of the reference prediction model and the prediction result of the residual compensation model to generate a final process index prediction value. And based on the final process index predicted value, solving through an optimization algorithm, and generating a cooperative control set value. According to the method, the calculation cost and the data requirement of model maintenance are greatly reduced, and the response speed and the adaptive capacity of the system to the working condition change are remarkably improved, so that the long-term stability and reliability of the collaborative optimization effect are ensured.

The invention relates to the technical field of sewage treatment, and particularly provides a method and a system for realizing beneficiation wastewater N, N-diethyldithiocarbamate-C-N-S synergistic oxidation-reduction coupling treatment by an MABR oxygen layering process. According to the method and the system, a time sequence dissolved oxygen (DO) dynamic regulation and control strategy is innovatively developed: through periodic / pulse type switching anaerobic-hypoxia-aerobic conditions, oxygenolysis and ammonification reaction of N, N '-diethyldithiocarbamate are intensified directionally, and toxicity inhibition of intermediate products on functional bacteria is relieved. Based on the strategy, the system can accurately utilize biological membrane oxygen gradient spatial distribution in a single MABR reactor to realize a cascade reaction of sulfur oxidation-ammonification-aerobic nitrification-anoxic denitrification of ethyl sulfur nitrogen; or aiming at high-concentration diethyldithiocarbamate (gt; 50 mg / L) is coupled with a front anaerobic reactor, and ammoniation detoxification and denitrification nitrogen removal are enhanced.

The invention discloses a semi-autogenous mill crushing capacity evaluation method based on DEM simulation, and relates to the technical field of mineral processing, and the method comprises the following steps: measuring discrete element calculation required parameters of ores, steel balls and lining plate materials, and establishing a semi-autogenous mill geometric model; importing a geometric model of the semi-autogenous mill, and initializing discrete element calculation required parameters and particle processing parameters; a DEM simulation experiment is carried out, when simulation time reaches integral multiples of the step length, all particle information in a simulation system is traversed, particles meeting the judgment condition are removed, the mass of removed ore particles is obtained, new particles meeting the set condition are added, abnormal particles are processed, and the ore particles are obtained. The residual mass of the ore particles with the particle size set by the system within the simulation time and the mass of the removed ore particles at each moment are obtained, the removal rate of the ore particles at each moment in the simulation process is calculated, the crushing capacity evaluation result of the semi-autogenous mill is obtained, the evaluation calculation time is short, the accuracy is high, and the problem of small particle deposition is effectively solved.

The invention discloses a metal mine production big data intelligent analysis method and device and a medium, and relates to the technical field of intelligent mine information, and the device comprises an acquisition and modeling module, an analysis module, a prediction and optimization module and a visualization module; the data acquisition unit is provided with a vibration sensor, a temperature sensor and a geological pressure sensor, and is used for acquiring mine equipment operation parameters, mineral processing process indexes and geological environment parameters in real time to obtain multi-source data; the data preprocessing unit is used for performing timestamp alignment, missing value compensation, noise elimination and unit normalization processing on the multi-source data to obtain standardized multi-source data; the feature extraction unit adopts a multi-head Transform network, performs space-time modeling and semantic feature fusion on standardized multi-source data, and outputs a tensor embedding vector, the risk identification result is converted into an executable process adjustment strategy, the crossing from passive early warning to active optimization is realized, and the efficiency and the intelligent level are enhanced.

The invention discloses a beneficiation optimization control method and system based on a knowledge graph, and relates to the technical field of mineral processing process control, and the method comprises the steps: collecting and preprocessing beneficiation whole process data, and generating an initial multi-modal data set; space-time process elements are extracted based on the initial multi-modal data set, and an initial beneficiation optimization knowledge graph is constructed; establishing a mineral separation process topological graph, bringing process equipment material topology into a mineral separation optimization knowledge graph, and constructing an evolutionary mineral separation optimization knowledge graph; performing timestamp alignment on the initial multi-modal data set through an evolutionary beneficiation optimization knowledge graph to obtain a time axis aligned multi-modal data set; hierarchical time sequence modeling and cross-modal correlation calculation are carried out on the multi-modal data set with the aligned time axes, and multi-modal time sequence correlation features are generated; and the multi-modal time sequence correlation characteristics are input into the evolution beneficiation optimization knowledge graph for reasoning, and an optimal beneficiation control strategy is obtained.

The invention relates to the technical field of mineral processing, and particularly provides a combined reagent system for flotation and magnesium reduction of talc-containing copper-molybdenum ore and application of the combined reagent system. The combined reagent system comprises a flotation collecting agent (faint yellow to orange transparent liquid, 40%-50% of active ingredients and less than or equal to 3% of free alkali) with active ingredients in the formula 1 and a flotation depressing agent (light yellow powder, extracellular polysaccharide extract of xanthomonas, the weight-average molecular weight of 1000-1500000 Daltons and rich in hydroxyl, carboxyl and pyruvic acid groups) with a structural formula in the formula 2, and the flotation depressing agent comprises extracellular polysaccharide extract of xanthomonas, the weight-average molecular weight of xanthomonas and the weight-average molecular weight of xanthomonas and is rich in hydroxyl, carboxyl and pyruvic acid groups. Through the synergistic adsorption effect of the combined reagent, the flotation grade and the recovery rate of the copper sulfide molybdenum ore are remarkably improved under the condition that the pH is 8-11. The combined reagent system has the advantages of being high in flotation efficiency, high in selectivity, low in reagent cost, environmentally friendly, high in industrial applicability and the like.

The invention discloses a spodumene concentrate resourceful treatment method which comprises the following steps: carrying out wet treatment on spodumene acid clinker to prepare lithium-removed filter residues and leachate; carrying out neutralization treatment and desulfurization treatment on the leachate to obtain a lithium-containing purified solution, gypsum and iron oxide red, and carrying out lithium extraction treatment on the lithium-containing purified solution to obtain a lithium salt and mirabilite; the lithium-removed filter residues are treated through a process combining a beneficiation method and a chemical method, and water glass, nano kaolinite, ceramsite aggregate and tantalum-niobium concentrate are obtained. According to the method, whole-process slag-free production of the spodumene concentrate is achieved, and meanwhile the lithium-containing compound with the high purity and the high quality is obtained; and various valuable products can be obtained.

The application provides a high-efficiency recovery method for copper in chalcocite-type copper concentrate sulfuric acid roasting and acid leaching residue, and belongs to the technical field of mineral processing.The application recovers sulfide copper minerals and intergrowth of the sulfide copper minerals and cupric ferrite in chalcocite-type copper concentrate sulfuric acid roasting and acid leaching residue through flotation, then recovers cupric ferrite and intergrowth of the cupric ferrite and the sulfide copper minerals in middlings and tailings in the flotation through magnetic separation, and finally recovers superfine cupric ferrite and copper mineral particles completely wrapped by gangue minerals in the tailings in the magnetic separation through chemical dissociation.The application uses the method of combination of flotation, magnetic separation and chemical dissociation, strengthens recovery of the copper in chalcocite-type copper concentrate sulfuric acid roasting and acid leaching residue, and the comprehensive recovery rate can reach 91.18%.

The invention discloses a method for measuring the oxidation rate of silver ore, and relates to the technical field of mineral processing and process mineralogy analysis. The determination method comprises the following steps: preparing and segmenting a sample; silver grade calibration and reselection enrichment are carried out, and products with different mineralogical characteristics are obtained; carrying out automatic mineralogical analysis to obtain the type, content and dissemination characteristics of silver minerals; chemical leaching correction coefficient determination, wherein phase state distribution of silver is obtained through stepped chemical leaching, and the correction coefficient is calculated; determining a gangue wrapping correction coefficient, analyzing the silver content of the residue and calculating the correction coefficient; and finally, calculating the silver ore oxidation rate based on the automatic mineralogy analysis data and the correction coefficient. According to the method, through multi-technology fusion and data correction, the accuracy and reliability of measurement of the oxidation rate of the silver ore with low silver mineral content and uneven distribution are remarkably improved, and accurate data support is provided for formulation of a mineral separation process.

The invention provides an on-line monitoring and early warning method for whole-process beneficiation wastewater, and belongs to the field of on-line monitoring and early warning, and the method comprises the steps: deploying an on-line monitoring group for a corresponding link according to the wastewater treatment attribute of each link in the whole-process beneficiation wastewater process of a factory, and according to the mapping relation between the historical abnormal event and the treatment experience of each link, constructing an on-line monitoring group for the corresponding link; determining the participation effect of each historical abnormal water quality parameter in the historical abnormal event in the corresponding link and an adjustment scheme surrounding the historical abnormal water quality parameters, and establishing a response strategy library; establishing an input and output parameter model associated with the corresponding link according to the connection relationship of each link, and determining a current water quality abnormal parameter of the corresponding link according to a water quality analysis result to generate a water quality abnormal event; and comprehensively matching all the water quality abnormal events with the response strategy library, and determining and adjusting an early warning response strategy of each link. Problems in the wastewater treatment process can be quickly found and solved, and the risk that wastewater discharge does not reach the standard is effectively reduced.

The invention discloses a method for extracting copper fine powder by flotation of copper-containing ore, which belongs to the technical field of mineral processing, and comprises the following steps: after copper-containing raw ore is crushed, ground and classified by a cyclone, overflow enters flotation, and settled sand is returned for regrinding; sodium carbonate is added into graded overflow to adjust the pH, a sodium hexametaphosphate-polyacrylamide composite dispersant is added, and copper sulfate is added and stirred after low-temperature microwave heating; gradient flotation is conducted, specifically, copper sulfide is roughly selected, the pH is adjusted, an amino-sulfonic acid group synergistic modified layered double metal hydroxide / cobalt ferrite composite collecting agent is added, and rough concentrate 1 is obtained through high-frequency pulse air inflation flotation; copper oxide roughing is conducted, clear water is supplemented to adjust the pH, and a collecting agent is supplemented to obtain rough concentrate 2; scavenging is performed for three times, a collecting agent is added for flotation, and concentrate returns to the previous stage; the rough concentrates are combined, and magnetic impurities are removed through high-gradient magnetic separation to obtain magnetic concentrates; and carrying out microbiological leaching on tailings to recover copper. The composite collecting agent is prepared through layered double hydroxide carrier synthesis, amino modification, sulfonic acid group grafting and cobalt ferrite anchoring.

The invention is suitable for the technical field of mineral processing, and provides a rotary magnetic separator magnetic field and rotating speed collaborative optimization method and system.The method comprises the steps that a feeding characteristic data set is built based on data collected in real time, and a pre-trained magnetic field and rotating speed collaborative optimization model is input; the pre-trained magnetic field and rotating speed collaborative optimization model takes a weighted comprehensive utility value for maximizing the concentrate grade and the recovery rate as an optimization target; under the condition that the equipment safety boundary constraint and the process index threshold constraint are met, solving the optimal solution set of the model through a multi-target dynamic optimization algorithm, and outputting the current optimal magnetic field intensity parameter and the optimal rotating speed parameter; generating a cooperative control instruction according to the optimal magnetic field intensity parameter and the optimal rotating speed parameter; when the cooperative control instruction is executed, synchronous control of time sequence matching is implemented based on the dynamic response time difference of magnetic field intensity adjustment and rotating speed adjustment; and the separation efficiency, the product quality stability and the equipment operation reliability of the rotary magnetic separator are effectively improved.

The invention discloses a collecting funnel wear-resistant lining type automatic deviation rectifying and distributing device, belongs to the technical field of mine and mineral processing production, and solves the problems of unbalance loading and deviation caused by deviation of a discharging point in multi-conveying-belt transportation and high maintenance cost of a wear-resistant lining plate. The device comprises a main body supporting and driving system (an integrated bracket, an air cylinder, a bracket and a jackscrew), a deviation monitoring and control system (a deviation sensor, a PLC (Programmable Logic Controller) control box and an electromagnetic valve) and a wear-resistant buffering system (a wear-resistant rubber buffering curtain), the deviation of the conveying belt is monitored in real time through the deviation sensor, the PLC control box drives the air cylinder to drive the support to move transversely, the angle of the buffer curtain is adjusted in combination with the jackscrew, a'monitoring-feedback-adjusting 'closed loop is formed, and dynamic deviation correction of a discharging point is achieved. The buffering curtain replaces a traditional metal lining plate, abrasion is reduced, and replacement is convenient. The device improves the stability of a transportation system, reduces the maintenance cost and adapts to severe working conditions of mines.

The invention discloses a thickener dosing control method and system, and relates to mineral processing. The method comprises the following steps: acquiring concentration values measured by an ith concentration sensor at different depths at a moment t; obtaining the turbidity T of the overflow water, the effective viscosity of the overflow water or underflow, the volume fraction of fine particles and the volume fraction of coarse particles in the overflow water, the Zeta potential of the feeding end, the Zeta potential of the overflow end, the time derivative of the Zeta potential of the overflow end, the equivalent diameter d of the particles, the density of the particles, the density of the fluid and the viscosity of the fluid; calculating the effective settling velocity of the particle swarm; carrying out online correction on the effective settling velocity by utilizing a least square method or a Kalman filtering algorithm; performing time lag correction on the concentration values at different depths by using the corrected effective settling velocity; correcting the turbidity T of the overflow water according to the corrected concentration profile; respectively calculating a flocculant dosing rate and a coagulant dosing rate; according to the invention, accurate cooperative control of the dosing rate of the flocculating agent and the coagulant is improved through the artificial intelligence model.

The utility model relates to the technical field of mineral processing, in particular to novel efficient mineral drying equipment which comprises a roller, a heat supply device, a heat supply pipeline, a feeding device and a discharging device. A plurality of lifting plates are arranged on the inner circumferential surface of the roller; the heating device is connected with the bottom of the rear end of the roller through a heating pipeline; the feeding device is connected with the rear top of the roller; the discharging device is connected to the front end of the roller; in addition, the device further comprises a gas-liquid separator, and the two ends of the gas-liquid separator are connected with the heat supply device and the discharging device respectively. The plurality of lifting plates are distributed in a spiral shape; the heat supply pipeline is spiral, the end, away from the heat supply device, of the heat supply pipeline communicates with the inner circumferential face of the roller, and the rotating direction of the heat supply pipeline is opposite to the rotating direction of the multiple lifting plates. The mine dryer can solve the problems that when an existing mine dryer conducts heat through a heat conduction pipe, the drying speed is not high enough, and the drying effect is prone to being affected.

The application discloses a kind of multi-element combination collector and its application in low-grade lepidolite flotation, belong to mineral processing technical field.The multi-element combination collector provided by the application is composed of cationic amine collector, anionic promoter and long-chain anionic collector, which significantly improves the reaction activity of the collector and the capture behavior of the mineral particles during the flotation process, reduces the foam viscosity and increases the fluidity, effectively solves the problem of overstable foam and the difficulty of flotation separation of different silicate minerals under acidic conditions, reduces environmental pollution and equipment corrosion, and also strengthens the hydrophobic floating behavior of lepidolite surface, resulting in high grade Li2O concentrate, further realizing the clean recycling of low-grade lepidolite resources.

The invention belongs to the field of mineral treatment, and particularly relates to a selective leaching method for scandium in a scandium-containing mineral, which comprises the following steps: roasting the scandium-containing mineral and an additive to obtain a roasted material, and mixing the roasted material with a leaching agent for leaching to obtain a scandium-rich leachate; the additive is an inorganic salt of at least one cation of sodium, calcium, potassium and ammonium; the leaching agent comprises an aqueous solution of a component A and an aqueous solution of a component B, wherein the component A is a C2-C10 water-soluble binary or above carboxylic acid compound; the component B is a water-soluble salt of the component A; the molar ratio of the component A to the component B is 1: (0.5-5); and the concentration of the component A in the leaching agent is 1-15 mol / L. According to the method, the scandium-containing mineral is roasted and modified through the additive, and then the scandium-containing mineral is leached through the buffer system containing the component A and the component B, so that synergy can be achieved, and scandium in the scandium-containing mineral can be selectively and efficiently extracted.

The invention discloses a coal slime flotation dosage dynamic prediction method and system based on multiple working conditions, and relates to the technical field of mineral processing process control, and the method comprises the steps: based on coal slime particle data, employing a density clustering algorithm to carry out preliminary dynamic division on real-time working conditions, generating initial working condition labels, and through a time sequence correlation analysis and dynamic correction mechanism, carrying out dynamic prediction on the real-time working conditions; optimizing the initial working condition label to generate a multi-working condition label; a flotation cell simulation model is constructed, advanced simulation is conducted according to the real-time working condition operation parameters, the clean coal ash value and the recovery rate in a future time window are predicted, dynamic calibration is conducted, and a chemical adding amount adjusting instruction is generated; and executing the dosage adjusting instruction, evaluating the coal slime flotation efficiency through a multi-dimensional flotation dynamic evaluation method, and dynamically optimizing the dosage adjusting instruction according to an evaluation result. A flotation cell mechanism model is established, a predicted value is dynamically calibrated through parameter inversion and extended Kalman filtering, a dosing instruction is generated in combination with MPC, and advanced precise regulation and control of clean coal quality and recovery efficiency are achieved.

The invention relates to the technical field of mineral separation, and provides a segmented enrichment and recovery method for lithium-containing porcelain clay ore co-associated with rubidium and cesium, which comprises the following steps: grinding the lithium-containing porcelain clay ore to obtain ground ore pulp; the ore grinding pulp is subjected to sedimentation desliming, and settled sand and slime are obtained; the settled sand is subjected to size mixing, and to-be-separated ore pulp is obtained; lepidolite flotation is conducted on the to-be-separated ore pulp through a lepidolite collecting agent, and lithium separation tailings and lepidolite concentrate containing rubidium and cesium are obtained; carrying out potassium feldspar flotation on the lithium separation tailings by adopting a potassium feldspar collecting agent to obtain re-separation tailings and potassium feldspar concentrate containing rubidium and cesium; and fluoride-free separation of feldspar and quartz is conducted on the recleaning tailings, and feldspar concentrate and quartz concentrate are obtained. According to the segmented enrichment and recovery method provided by the invention, comprehensive utilization of co-associated rubidium and cesium in the ore can be realized to the greatest extent while the recovery of the main utilization mineral lepidolite is preferentially ensured, and qualified feldspar products and quartz products are obtained.

The application discloses a low-alkalinity inhibitor for pyrite in secondary copper-sulfur ore and a method. The method comprises the following steps: adding trisodium trithiocyanate in the process of ore grinding; and adding a second inhibitor to adjust the pH value of the ore slurry to 9.5-10.5 in the process of flotation. The second inhibitor is calcium oxide and an organic copolymer, the organic copolymer is an acrylamide-acrylic acid-maleic anhydride copolymer, and the molecular weight of the organic copolymer is 5000-10000. The method can reduce the activation of copper ions on pyrite, realize low-alkalinity inhibition of pyrite, and avoid problems such as high pH value of mineral processing waste water, easy pipe blockage, and low recovery rate of precious metals.

The invention discloses a coal flotation oil atomization effect evaluation system adopting data modeling, and relates to the technical field of coal flotation process intelligent control of mineral processing engineering.The coal flotation oil atomization effect evaluation system comprises a data acquisition module used for obtaining physical characteristic parameters and flotation process parameters of atomized oil drops in the coal flotation process in real time; and the hybrid model construction module is connected with the data acquisition module and is used for constructing an atomization effect evaluation model based on a mechanism model and a data driving model. According to the coal flotation oil atomization effect evaluation system adopting data modeling, by constructing a multi-source data sensing network and mechanism data hybrid driving model, accurate quantitative evaluation on the dispersion state of atomized oil drops is achieved. According to the method, a dual heterogeneous verification mechanism is adopted, through cross mutual verification of process correlation analysis and result inversion verification, it is ensured that an evaluation result has high reliability and traceability, and the technical problem that the atomization effect cannot be objectively quantified due to the fact that a traditional method depends on experience judgment is effectively solved.

The invention discloses an arsenic-containing copper-zinc polymetallic ore beneficiation method and an arsenic-containing mineral inhibitor, and belongs to the field of beneficiation. The arsenic-containing mineral inhibitor comprises the following components by mass percent: 40-60% of lime; 30%-40% of ferrous cyanide salt; and 10%-20% of a sulfomethylation modified tannin extract. The sulfomethylation modified tannin extract is prepared from the following raw materials in percentage by mass: 40-60% of tannin extract; 10-20% of sodium hydroxide; 15 to 25% of formaldehyde; and 5-15% of sulfuric acid. According to the method, the lime, the ferrocyanide and the sulfomethylation modified tannin extract are innovatively compounded according to a specific proportion and are in mutual synergistic interaction, the selectivity of arsenic mineral inhibition can be effectively improved, the agent dosage is reduced, the long-term effect of inhibition is enhanced, deep arsenic reduction can be achieved in the mineral separation process, and the concentrate quality and the recovery rate are improved.

The invention discloses a method for preparing high-purity quartz sand, and belongs to the technical field of nonmetallic mineral processing. The method aims at solving the problem that the purity of a final product is restricted due to the fact that associated impurities and internal inclusions in natural quartz minerals are difficult to efficiently remove. Preliminarily crushing the quartz raw ore; the quartz particles are subjected to acid pickling treatment, an acid agent and an auxiliary agent are mixed to serve as an acid pickling solution, and metal oxides and other acid-soluble impurities in the quartz particles are effectively dissolved and removed; pre-activating the pickled quartz particles at a low temperature of 300-500 DEG C to increase microcracks of the quartz particles, performing high-temperature melting chlorination treatment, and using a solid-gas composite chlorinating agent at the same time; and finally, crushing and grading the high-purity quartz ingot again to obtain a high-purity quartz sand product. According to the method, deep and comprehensive purification of quartz minerals is achieved, the technological process is simple and efficient, the obtained quartz sand product is high in purity, and the method is suitable for the photovoltaic field, the electronic field, the high-end optical field and other fields with extremely high requirements for the purity of quartz sand.

The application discloses a low-grade lepidolite flotation combined collector and application thereof, and belongs to the technical field of mineral processing. The lepidolite flotation combined collector SDI-101 of the application is composed of a cationic collector and an anionic collector, and includes the following raw materials in mass fraction: 20%-80% of an amine collector and 20-80% of an amino carboxylic acid collector. The combined collector is used to cooperatively improve the flotation efficiency of the low-grade lepidolite ore. In the case that the Li2O grade of the lepidolite raw ore is lower than 0.5%, a lepidolite concentrate with a Li2O grade of about 2% and a recovery rate of more than 80% can be obtained through a 'one-roughing-one-cleaning-one-scavenging' flotation process. The lepidolite combined collector of the application is applicable to the low-grade lepidolite ore, and the raw ore does not need desliming treatment. The lepidolite combined collector of the application has the advantages of strong collecting property and adaptability, can effectively improve the grade and recovery rate of the lepidolite concentrate, and promotes the efficient use of lepidolite resources.

The invention relates to the technical field of mineral processing, and particularly provides a flotation concentrate quality evaluation method. According to the flotation concentrate quality evaluation method, systematic and quantitative comprehensive evaluation is carried out by combining multiple parameters such as the concentrate grade, the harmful impurity content, the yield, the mineral granularity characteristic and the dissociation degree characteristic, and accurate data support can be provided for concentrate quality judgment and mineral separation process optimization.

The invention belongs to the technical field of mineral separation, and discloses an amidated carboxylic acid compound, a collecting agent for spodumene flotation, a preparation method of the amidated carboxylic acid compound and application of the amidated carboxylic acid compound in spodumene flotation. The amidated carboxylic acid compound is obtained through the reaction of amino acid, acyl chloride and sodium hydroxide, is resistant to acid and alkali in the normal temperature state, is not prone to decomposition and can improve the selectivity of the collecting agent. The collecting agent comprises 30-45 parts of amidated carboxylic acid compounds, 5-15 parts of oleic acid, 3-10 parts of inorganic base and 10-25 parts of alcohol compounds. The spodumene flotation collecting agent has good dispersity, foaming capacity and capacity of inhibiting gangue, feldspar and quartz minerals, has a good collecting effect on spodumene at the room temperature, remarkably improves ore selectivity, guarantees the concentrate grade of spodumene, meanwhile improves the recovery rate and has a good application effect in spodumene flotation.

The invention provides a beneficiation production management method and system based on digitization, is applied to the technical field of beneficiation production management, and aims to calculate physical balance parameters of key procedures based on real-time process data, predict future states of the key procedures, deduce influence trends of raw material property changes on process parameters or product indexes, and improve the beneficiation production management efficiency. According to the method and the system, the influence trend of the property change of the raw ore on the subsequent process can be predicted in a prospective manner, and a globally optimized material scheduling or production parameter adjustment instruction is generated, so that the production stability is improved, the fluctuation and the cost are reduced, and the active management capability is enhanced.