657 results about "Clean coal" patented technology

The utility model discloses a secondary flotation device for filtrate water after clean coal flotation in a coal preparation plant. The device comprises a flotation machine, a pressure filter, a thickener, a filtrate bucket, a filtrate pump and an ore pulp preprocessor, the flotation machine is provided with two outlets, the first outlet is connected with the pressure filter through a pipeline, and the second outlet is connected with the thickener through a pipeline; a first filtrate outlet is formed below the pressurized filter steam-water separator; the filtrate bucket is connected with the first filtrate outlet through a pipeline; a second filtrate outlet is formed in the side surface of the bottom of the filtrate bucket; the inlet end of the filtrate pump is connected with the second filtrate outlet, and the outlet end of the filtrate pump is connected with the ore pulp preprocessor; and the outlet end of the ore pulp preprocessor is connected with the flotation machine through a pipeline. According to the utility model, clean coal slime stored in filtrate water of the pressure filter can be effectively recovered, the waste rate is reduced, and the economic benefit is improved.

The invention relates to a clean coal calorific value prediction method, device and equipment, a medium and a product, and is applied to the technical field of computers. The method comprises the following steps: acquiring a dense medium density influence parameter of a target coal material; in the dense medium separation process of the target coal material, the dense medium density influence parameters are predicted and analyzed based on a preset clean coal heat value prediction model, and a clean coal heat value prediction result of the target coal material is obtained; the clean coal calorific value prediction model at least comprises a first sub-model, and the first sub-model is used for predicting a first prediction result corresponding to the target coal material based on the time sequence characteristics of the dense medium density influence parameters. Through dynamic change of dense medium density influence parameters, a set value of the dense medium density is adjusted in time, so that a clean coal calorific value prediction result can be reflected accurately in real time. The hysteresis problem caused by determining a calorific value result by chemical examination after dense medium separation is avoided, and the prediction in the separation process can dynamically adapt to complex working conditions. Therefore, the accuracy of clean coal calorific value prediction is improved.

The invention discloses a raw coal quality data optimization and reconstruction method based on clean coal ash content feedback, and belongs to the technical field of computers. Data completion is achieved through the generative adversarial network; a generator predicts missing raw coal data according to the high-sampling-frequency clean coal ash content, and a discriminator evaluates the authenticity of the data. According to the method, the characteristic that the clean coal ash sampling rate is higher in the dense medium separation process is used for guiding data reconstruction; meanwhile, a composite loss function including adversarial loss, reconstruction loss and regression loss is designed, and the generation quality is improved. The method effectively solves the problem of raw coal quality data missing in the coal dressing process, and has high engineering application value.

The invention discloses a raw coal flotation-electrolysis combined quality-based resource utilization method, which relates to the technical field of coal separation, and comprises the following steps: crushing and grinding raw coal, and carrying out flotation separation to obtain clean coal and tailing slurry; mixing the tailing slurry and a sodium hydroxide solution as an anolyte, carrying out electrolysis by taking the sodium hydroxide solution as a catholyte, and carrying out cathode reduction to obtain hydrogen; filtering, separating, washing and drying the anolyte to obtain an inorganic salt product; mixing the filtrate and the washed solution, concentrating, acidifying until the pH is equal to 3, filtering, washing and drying in vacuum to obtain water-insoluble acid; and acidifying the filtrate until the pH value is 1.5, and carrying out extraction, concentration and vacuum drying to obtain the solid water-soluble acid. According to the method, flotation and electrolysis are combined, the utilization efficiency of coal resources is improved, the technological process is simplified, the cost is reduced, the overall economic benefit is improved through a byproduct high-value product, and a more environment-friendly coal separation and utilization mode is achieved.

The invention discloses a cyclone separation and moving particle bed coupled pulverized coal pyrolysis oil gas high-temperature dust removal system, and belongs to the technical field of coal clean utilization. The system comprises a cyclone separator, a fine filtration unit, a filter material cyclic regeneration unit and an intelligent control unit, the fine filtration unit comprises a particle bed, a particle bin is arranged at the top end of the particle bed, and a composite filter material layer is arranged on the particle bed; a dust-containing high-temperature oil gas pipeline and a pretreatment high-temperature oil gas pipeline are arranged at the top end of the cyclone separator, dust-containing high-temperature oil gas is introduced into the cyclone separator through the dust-containing high-temperature oil gas pipeline to be pretreated, and the pretreated dust-containing high-temperature oil gas is introduced into the particle bed through the pretreatment high-temperature oil gas pipeline to be finely filtered; and a coke breeze discharge pipe is arranged at the bottom of the cyclone separator. The invention is used for solving the technical problem of low gas-solid separation efficiency at high temperature caused by the adoption of a single filter material in the existing pulverized coal dust removal system.

The invention relates to the field of coal dressing flotation reagents, and discloses a green coal dressing flotation reagent and a preparation method and application thereof. The invention provides a green coal dressing flotation reagent which is composed of 70-80 parts of methyl oleate, 15-30 parts of methyl palmitate and 3-6 parts of an emulsifying agent (sorbitan oleate Span80). The preparation method comprises the following steps: firstly, weighing raw materials, magnetically stirring methyl oleate and methyl palmitate for 30 minutes, then mixing with sorbitan oleate (Span80), and heating and stirring in a water bath at 55 DEG C for 2 hours to obtain the medicament. In the application of coal slime flotation, the reagent solution is added into ore pulp and matched with a foaming agent, and flotation clean coal is formed by utilizing bubbles to carry coal slime particles. A plurality of groups of experiments show that the agent is excellent in performance, the clean coal recovery rate can reach 79.66%, the ash content is as low as 10.91%, the agent dosage is remarkably reduced compared with a traditional collecting agent, meanwhile, raw materials are green and environmentally friendly, the coal dressing industry is effectively promoted to develop towards the efficient and green direction, and the agent has extremely high application value.

The invention relates to the technical field of circulating filtration, in particular to a circulating filtration device of an ultrasonic cleaning machine for cleaning a coal mine filter element, which comprises a cleaning machine main body, a cleaning tank is formed in the cleaning machine main body, an ultrasonic transducer is fixedly mounted on the inner wall of the cleaning tank, a filter plate is slidably mounted in the cleaning tank, and the filter plate is fixedly mounted on the inner wall of the cleaning tank. A rotatable cleaning cylinder is arranged above the filter plate, the cleaning cylinder is connected with the cleaning machine main body through a moving mechanism, a through hole is formed in the outer surface of the cleaning cylinder, a supporting plate is installed in the cleaning cylinder through a sliding structure, a poking needle is fixedly installed on one side of the supporting plate, and the poking needle penetrates through the through hole in a sliding mode. And the poking needle is in contact fit with the surface of the filter plate. According to the circulating filtering device of the ultrasonic cleaning machine for cleaning the coal mine filter element, the cleaning cylinder and the poking needle are arranged, the cleaning cylinder can rotate when moving so as to drive the poking needle to rotate, and the poking needle can separate gelatinous substances from the filter plate.

The invention relates to the technical field of coal ash reduction and chlorine removal, and provides a dense-medium shallow-slot separation ash reduction and leaching chlorine reduction joint production device and a production process, a separation piece is provided with an overflow port, and the overflow port is used for conveying clean coal; a frame; the conveying part is arranged on the rack, is positioned below the overflow port and is used for conveying clean coal; the first storage bucket is rotationally arranged on the rack, and the first storage bucket is provided with a plurality of first water leakage holes; the second storage barrel is arranged on the rack and located in the first storage barrel, the conveying part leads to the second storage barrel, the second storage barrel is provided with a second water leakage hole, after the first storage barrel rotates, the first water leakage hole is communicated with or canceled from the second water leakage hole, and after the first water leakage hole is canceled from the second water leakage hole, the second storage barrel is used for storing water and clean coal; the first water leakage hole and the second water leakage hole are communicated and then used for discharging water. By means of the technical scheme, the problem that in the prior art, the heavy medium shallow groove separation ash reduction and chlorine removal effect is poor is solved.

The invention relates to the technical field of screening devices, in particular to a shaking type screening device for powder forming machining. The clean coal screening device comprises a supporting frame used for supporting the screening device, a screening assembly used for screening clean coal is arranged above the supporting frame, a conveying assembly used for conveying the clean coal into the screening assembly is arranged on one side of the screening assembly, a screening plate used for screening the clean coal is slidably connected into the screening assembly, and a shaking system is arranged on the side wall of the screening plate. The shaking system slides up and down to drive the screening plate to jolt up and down, so that the screening plate shakes and screens clean coal, shaking force is applied to the screening plate, clean coal particles which are possibly agglomerated originally can be effectively dispersed, the clean coal particles can penetrate through the screen more easily, and then the screening operation efficiency is remarkably improved. And meanwhile, the shaking is also beneficial to ensuring that clean coal particles are uniformly distributed on a screening surface, and the overall screening uniformity is improved.

The invention relates to the technical field of coal mine conveying belt dust control, and discloses a self-cleaning type return belt cleaning device which comprises a carrier roller, a self-cleaning brush roller, a water pipe with holes, a hard cleaning scraper and an air knife. A water pipe with holes is arranged in a roller of the self-cleaning brush, and water is supplied through a rotary joint, so that uniform spraying of a water medium in the cleaning process is ensured, coal slime on bristles is cleaned, generation of dust in the cleaning process is effectively inhibited, and the working environment is improved; the hard cleaning scraper and the air knife are used in cooperation, coal slime and water remaining on the belt are removed, belt deviation caused by too much water is avoided, and therefore the service life of the belt is prolonged, and the operation cost of a coal mine is reduced. Through the arrangement of the material collecting box, concentrated collection and treatment of the cleaned coal slime mixture are achieved, the coal slime mixture is promoted to be discharged from the sewage draining exit through flushing of the spraying frame, environmental pollution is reduced, and the possibility is provided for follow-up resource recovery.

The invention discloses a method for inhibiting argillization in a coal washing process, and relates to the technical field of coal processing.The argillization inhibitor comprises filler and auxiliaries, the filler comprises sodium oleate and sodium hexametaphosphate, and the auxiliaries comprise a stabilizer, an antioxidant, a surfactant and an emulsifier; a layer of argillization inhibitor is sprayed on the surface of the coal in advance, so that the surface of the coal is covered with the argillization inhibitor, oil acid radical ions in the argillization inhibitor are adsorbed on the surface of the coal, the content of hydroxyl and hydrocarbon groups on the surface of the coal is increased, the hydrophobicity of the coal particles is improved, and therefore the coal particles are not prone to being dissolved; sodium hexametaphosphate in the argillization inhibitor can enhance the barrier effect among coal particles, so that the coal particles are in a dispersed state, the hydrophilicity of high-ash components in the coal is improved, the high-ash substances in the coal are inhibited from floating out along with clean coal, and the coal slime water treatment is facilitated. The purpose of reducing the ash content of the flotation clean coal is achieved.

The present invention discloses a fine-particle coal sludge cake crusher that prevents crushed particles from adhering to the inner wall, and solves the technical problems that when the coal sludge cake is crushed, the particles are large, the crushed particles adhere to the inner wall, and the utilization rate is low. The machine body includes a crushing structure and a driving motor; wherein the machine body is composed of a crushing bin with a base and inclined side walls, one end of the base is the discharge port of the crushing bin, and the other end is equipped with a driving motor; the driving motor is connected to the crushing structure fixed in the crushing bin through a power transmission system, driving the cutter teeth on the crushing structure to mesh and operate, crushing the coal sludge cake placed in the crushing bin, and the front and rear cutter teeth leave a preset gap, so that the crushing structure has the ability of self-cleaning during operation. The present invention does not stick to teeth, does not block materials, and becomes fine particles below 10 mm after crushing, does not adhere to the material twice, has a good crushing effect, and can directly mix the crushed coal sludge cake into clean coal to improve economic benefits.

The invention discloses coal mine screening equipment for coal mining and a use method, and the equipment comprises a multi-source sensing module which is used for obtaining the original data of various physical characteristics of raw coal in real time; the data fusion and feature extraction module is used for extracting a fusion feature vector used for representing the key difference between the coal and the gangue; the decision-making unit is used for generating a sorting control instruction aiming at the current batch of raw coal in real time; the execution module is used for carrying out coal and gangue separation on the coal flow; the feedback module is used for feeding back clean coal product quality indexes and tailing data detected in real time to the decision-making unit; multi-dimensional information such as mineral components, moisture and lumpiness is fused through the multi-source sensing module, comprehensive analysis is carried out through the data fusion and intelligent recognition model, the limitation of a single sensing mode can be overcome, the recognition precision and reliability of coal and gangue are improved, efficient sorting is achieved from the source, and the recognition efficiency of coal and gangue is improved. The effects of improving the purity of a clean coal product and reducing the coal carrying rate of the gangue are directly achieved.

The invention discloses a side wall cleaning device for a vertical spiral open wagon. The device comprises a motor, couplings and roller shafts, the motor, the upper coupler, the upper roller shaft, the lower coupler and the lower roller shaft are sequentially connected from top to bottom, spiral pieces are arranged on the roller surface of the upper roller shaft and the roller surface of the lower roller shaft, and a steel wire brush and / or cutting teeth for cleaning adhering coal on the side wall of the open wagon are arranged between every two adjacent spiral pieces; a bottom disc wire brush for cleaning the side wall and the bottom of the open wagon is fixedly mounted at the lower end of the lower roller shaft. The device has the beneficial effects that the structural design is reasonable, the roller rotates to drive the cutting teeth and the steel wire brush on the roller to rotate, the cutting teeth crush frozen coal, the steel wire brush sweeps and concentrates coal swept down from the side wall of a carriage, and the disc steel wire brush at the bottom further cleans coal at corners between the side wall and the bottom surface of an open wagon and coal falling off from the side wall. And the cleaning efficiency is high, manual auxiliary cleaning is not needed, potential safety hazards are eliminated, and the vehicle cleaning cost is effectively reduced.

The utility model belongs to the technical field of coal detection, and discloses a coal sample container cleaning device. The coal sample container cleaning device comprises a locking mechanism, a cleaning mechanism and an air blowing mechanism. The locking mechanism comprises a locking disc and a plurality of locking assemblies, the locking disc can rotate, the rotating axis of the locking disc does not coincide with the axis of the locking disc, the locking disc is provided with a through hole in the axial direction, the locking assemblies are arranged on the locking disc at intervals in the circumferential direction, and coal sample containers with different calibers can be locked to the locking disc through the locking assemblies. The cleaning mechanism comprises a liftable cleaning brush, the cleaning brush can rotate around the axis of the cleaning brush, the cleaning brush is arranged below the locking disc, and the cleaning brush can extend into the coal sample container through the through hole to clean the coal sample container. The air blowing mechanism can be communicated with the inner cavity of the coal sample container so as to blow hot air into the coal sample container. The coal sample container cleaning device can completely clean coal sample containers of different specifications, and is high in cleaning efficiency and high in universality.

The invention discloses an anti-skid device for a coal conveying belt of a power plant. The device comprises a conveying belt, a friction roller, a conveying belt shaft, a shaft bracket, a sliding seat and the like, the friction roller and the conveying belt shaft are inserted into two ends of the conveying belt, the shaft bracket sleeves two ends of the conveying belt shaft and is connected with the sliding seat, the conveying belt shaft at one end is connected with a speed reducer and a driving motor, and an adjusting assembly is arranged at the sliding seat to control the tension degree of the conveying belt and comprises a connecting seat, a screw, a nut and an adjusting motor. A linkage sweeping assembly is arranged on the inner wall of the lower portion of the conveying belt and comprises a second support, a rotating shaft, a rotating roller, sweeping belts and the like, the sweeping belts rotate to clean coal ash impurities through the combined driving assembly by means of conveying belt shaft power, and the two sweeping belts rotate in opposite directions to reduce sweeping dead corners. One side of the shaft bracket is provided with a central integrated controller and is connected with a rotating speed sensor which can monitor the rotating speed and control the adjusting motor to adjust the tension degree of the conveying belt according to the rotating speed. The device has the advantages of effective skid resistance, efficient cleaning, accurate tension degree adjustment and integrated control, and the stability and reliability of a coal conveying system of a power plant are improved.

The utility model discloses a coal mine heading machine which comprises a crawler, a cleaning mechanism and a connecting frame, the cleaning mechanism is installed on the frame wall of the connecting frame, the cleaning mechanism is composed of a push plate, a transverse plate, a motor B, a vertical rod, a scraper blade, a positioning rod and a bearing, the push plate is welded to the frame wall of the connecting frame, and the motor B is installed on the transverse plate. A set of symmetrical transverse plates are installed on the plate wall of the push plate through bolts, a motor B is fixedly installed at the plate top of each transverse plate through bolts, a vertical rod is installed at the output end of each motor B, a scraper for cleaning coal is installed at the other end of each vertical rod, and a positioning rod is welded to the plate bottom of each scraper. And the other end of the positioning rod is connected with the plate wall of the push plate through a bearing. The cleaning mechanism can be used for cleaning coal cinder after tunneling, so that the coal cinder is prevented from being accumulated to influence the walking of the tunneling machine.

The invention relates to the technical field of coal sorting, and discloses a coal vibration airflow collaborative sorting method and system based on multi-target collaborative control, and the system comprises a data acquisition unit, a data processing unit and an execution adjustment unit; wherein the data acquisition unit is used for synchronously acquiring multi-dimensional operation data; the data processing unit performs fusion operation on the multi-dimensional operation data to obtain estimated values of bed stratification degree and real-time cutting density, and performs rolling prediction based on a prediction model to obtain an optimization control instruction; the execution adjustment unit receives the optimization control instruction to adjust the apparent wind speed distribution of each subarea to stabilize bed layering, dynamically adjusts the vibration frequency and amplitude to maintain particle migration balance, corrects the longitudinal and transverse inclination angles to suppress backmixing, and adjusts the discharge boundary. The problems of separation boundary drifting and backmixing are effectively avoided, and the stability of clean coal ash content and cutting density is ensured.

The invention discloses a high-efficiency coking furnace, and relates to the technical field of coking equipment, the high-efficiency coking furnace comprises a furnace body assembly, the furnace body assembly comprises a lower furnace body and an upper furnace body, the outer wall of the lower furnace body and the outer wall of the upper furnace body are sleeved with a heat insulation shell, the bottom of the heat insulation shell is fixedly connected with a supporting base, and a rotating assembly is installed at the center of the top surface of the supporting base; a heat energy recovery assembly is installed on the top face of the upper furnace body, the heat energy recovery assembly is connected with a purification assembly, and two temperature sensing assemblies are installed in the heat energy recovery assembly. The heat exchange structure can fully utilize heat energy of high-temperature flue gas in the carbonization chamber to preheat low-temperature clean coal gas and cold air, a gas heat absorption path is prolonged through a labyrinth structure, the temperature of gas entering the gas mixing ring is greatly increased, and the mixed combustion heat value of the clean coal gas and hot air after heat exchange is remarkably higher than that of normal-temperature mixed gas; therefore, combustion efficiency is improved, fuel consumption is reduced, and sufficient and stable heat sources in the coking process are ensured.

The invention provides a clean coal ash content control method and system in a dense medium separation process. The method comprises the following steps: collecting historical data in the dense medium separation process; preprocessing the data; constructing and training a state estimation model and a system dynamic model; and performing real-time control on the ash content of the clean coal based on the constructed state estimation model and the system dynamic model. According to the method, the modeling problem of the large time-lag characteristic in the dense medium separation process is effectively solved, the influence of the feeding pressure on the clean coal ash content is comprehensively considered, the model can more accurately learn the bottom layer physical characteristics in the dense medium separation process, proper control actions can be adopted in time to compensate the influence of external interference factors, the response speed is high, and the real-time performance is high. The method has strong anti-interference capability and is insensitive to noise of ash content measurement. When the scheme is applied to production, the quality of a coal product can be improved by accurately controlling the ash content of the clean coal; and automatic control can be fully achieved, the labor intensity of operators is relieved, and the production efficiency is improved.

The invention relates to a method for preparing ultra-pure coal through combination of grinding and flotation. The method comprises the following steps: carrying out primary surface modification and flotation to remove most of gangue; fine silt on the surfaces of the coal particles is removed through scrubbing and ore grinding, and the hydrophobicity of the coal is improved by combining secondary surface modification and flotation; the coal quality is judged according to the ash content of secondary flotation clean coal, if the ash content is larger than 3%, dissociation ore grinding and grading are conducted, and it is guaranteed that coal and gangue are fully dissociated; double-emulsion surface modification is adopted to enhance the dispersibility of the agent, and finally, the ultra-pure coal with the ash content smaller than 1% is obtained through three-time flotation and four-time flotation. Through the synergistic effect of scrubbing ore grinding, dissociation ore grinding and multi-section flotation, the dissociation efficiency and flotation selectivity of coal and gangue are effectively improved, the method adapts to coal quality fluctuation, and the yield of ultra-pure coal is increased.

The invention discloses a low-rank coal composite flotation reagent and a preparation method and application thereof, and belongs to the technical field of coal flotation of mineral processing. The agent specifically comprises a composite collecting agent and a composite foaming agent, and the composite collecting agent comprises kerosene, n-dodecane, oleic acid, dimer acid, sodium stearate, terpilenol, diethyl phthalate, alkylphenol ethoxylates, span-80, trioctyl phosphate and 2-ethylhexanol. The composite foaming agent is prepared from the following components: terpilenol, terpenic oil, sec-octyl alcohol and sodium alpha-olefin sulfonate. Compared with a traditional single flotation reagent combination, the composite flotation reagent has a remarkable effect in fine coal flotation, and particularly when coal with the particle size smaller than 0.5 mm is treated, the flotation efficiency, the clean coal yield and the combustible body recovery rate can be effectively improved. More importantly, the medicament is stable at normal temperature, the layering phenomenon is avoided, the long-term effectiveness is ensured, and the medicament has extremely high industrial application potential.

The invention relates to the technical field of coal processing and utilization, and discloses a clean coal yield prediction method based on a support vector machine, which comprises a data acquisition module used for analyzing factors influencing the clean coal yield, acquiring related data and integrating the data into a data set, and a data preprocessing module connected with the data acquisition module and used for preprocessing the data. The data preprocessing module is used for randomly dividing a data set according to a 70% training set and a 30% test set and carrying out standardization and normalization preprocessing, the parameter optimization module is connected with the data preprocessing module and optimizes hyper-parameters of a support vector machine through an improved grey wolf algorithm, and the model building module is connected with the parameter optimization module and is used for building a model. The model building module is used for building and training a support vector regression model based on the optimized hyper-parameters, and the model verification module is connected with the model building module and uses a test set to verify the performance of the model. According to the method, the hyper-parameters of the support vector machine are optimized through the improved grey wolf algorithm, the problem that a traditional optimization method is prone to falling into local optimum is effectively avoided, and the precision of clean coal yield prediction is remarkably improved.

The invention provides a data stream active sampling and predicting method for a product ash content index in a coal dense medium separation process. The method comprises the following steps: S1, preprocessing coal dense medium separation data; s2, establishing a dynamic cache window in the sorted data stream to perform synchronous clustering; s3, establishing a feature memory dictionary, and constructing a centralized kernel space by using data in the feature memory dictionary to obtain a dictionary data feature micro-mode direction and a feature main mode direction; s4, calculating the projection of the real-time data point in the feature micro-mode direction, and judging whether active sampling is carried out or not; s5, obtaining the projection of the dictionary data in the main mode direction by using the kernel principal component information in the S4, constructing an evaluation function, and judging whether to sort active sampling or not; s6, taking the maximum sample set of the value function as a new feature memory dictionary; and S7, strengthening the weight of the actively sampled sample, recursively constructing a random weight neural network through a Woodbury formula, and predicting the clean coal ash content in the label data stream until the data stream is finished.

The invention discloses a dry method dense medium coal dressing intelligent process prediction control method which comprises the following steps: firstly, collecting data of raw coal to be washed, and counting prior selectability information of the collected data; establishing a bed density dynamic model based on evolution time, and forming stable bed density; then a sorting density model is obtained through calculation, an empirical distribution function model based on the sorting density model, possible deviation of a sorting system and boundary control parameters is established, and the product distribution rate corresponding to each density level interval is calculated; and finally, predicting and calculating the product yield and ash content of the coal dressing system according to the priori selectability information and the product distribution rate corresponding to each density level interval, and correcting the product yield and ash content. According to the method, different dry-method dense medium separation mathematical models are fused, the description capacity of the models for the steady-state and dynamic characteristics of the separation process is enhanced, the prediction precision of the clean coal ash content and the yield is improved, and the problem that dynamic control is difficult to implement due to lack of theoretical models in the dry-method dense medium field is solved.

The utility model relates to an intelligent anti-blocking device for a discharge port of a coking coal blending bunker, which aims to solve the technical problem of clean coal blocking of the discharge port of the coal blending bunker, and adopts the technical scheme that a coal blending bunker steel cone section is arranged at the discharge port of the coal blending bunker, four driving devices are arranged on the outer side wall of the upper part, and a vertical transmission shaft is arranged in the middle; the driving device is meshed with the vertical transmission shaft through the horizontal transmission shaft and the bevel gear, a dynamic torque detection system is arranged at the upper end of the vertical transmission shaft, and a temperature sensor is arranged on the bearing and is controlled by an electric control system. And the driving device drives the transmission shaft and the stirring rods to crush the cleaned coal, so that the cleaned coal is in a loose state, the problem of unsmooth discharging of the cleaned coal bin opening which puzzles field operation for a long time is effectively solved, and meanwhile, the overall fluidity of the interior of the cleaned coal is improved.

The present invention relates to the field of coal gangue processing technology, and in particular to a system and method for sorting clean coal and pyrite in coal gangue, comprising a pretreatment mechanism, a screening mechanism, a sample analysis mechanism, and an intelligent sorting mechanism, wherein the intelligent sorting mechanism comprises a frame body, a first sorting section, a second sorting section, and an execution controller, wherein the first sorting section and the second sorting section are sequentially arranged on the frame body from top to bottom, and the execution controller is used to control the first sorting section and the second sorting section to sort the ore; the pretreatment mechanism, the screening mechanism, and the intelligent sorting mechanism are sequentially connected, and the sample analysis mechanism is communicatively connected to the execution controller. The sorting system first screens and grades the coal gangue according to the presence form of pyrite in the coal gangue, and then intelligently sorts the graded coal gangue, effectively solving the problems of low grade, low sorting efficiency, and difficulty in large-scale production in the process of directly selecting coal and pyrite in coal gangue mainly by gravity separation and flotation.

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 field of intelligent control of coal preparation plants, and discloses an intelligent dry separation dynamic optimization method and system for a coal preparation plant. According to the method, raw coal property data and environmental parameters are obtained, and a standardized data matrix is generated through multi-source data fusion processing; generating a parameter suggestion set based on the deep learning network and performing feasibility verification; searching the parameter space by adopting an intelligent optimization algorithm to generate an optimized parameter combination; and finally, dynamic adjustment of process parameters is realized through instruction conversion and packaging. Intelligent decision making and dynamic optimization of the coal dressing process are achieved, the method has the advantages of being high in data processing precision, parameter optimization efficiency and system response speed and the like, the clean coal recovery rate can be remarkably increased, energy consumption is reduced, and safe and stable operation of production is ensured.

The invention belongs to the field of clean coal separation, relates to a data analysis technology, and aims to solve the problem that raw coal in dense medium coal separation cannot be automatically matched with suspension density in the prior art, in particular to a suspension density intelligent matching and decision control system based on raw coal ash content. The decision control platform is in communication connection with a density test module, a density matching module, a weight analysis module and a storage module; before clean coal separation, the ash content of raw coal is obtained and marked as an original value, the initial density of suspension liquid of the raw coal subjected to dense medium coal separation is marked as a density value, the clean coal ash content and the coal separation duration in the dense medium coal separation process are marked as a fine separation value and a coal separation value correspondingly, and a test period is generated; and marking all dense medium coal preparation processes in the test period as test processes. According to the method, the suspension liquid density can be tested and analyzed in the clean coal separation process, and the corresponding initial suspension liquid density can be directly matched according to the category and ash content of raw coal.