469 results about "Clean coal" patented technology

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 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 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 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 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 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.

The invention belongs to the technical field of coal, and particularly discloses an alkaline agent for chemical deep deliming of ultra-pure coal and a preparation method and application of the alkaline agent, and the alkaline agent is prepared from a quaternary ammonium alkali solution, a strong alkali solution, an NH3.H2O solution and a sodium fluoride solution according to the volume ratio of (2-3): (1-2): (1-2): (2-3). Compared with the prior art, the compound agent has high alkalinity and complexing capacity, and after deep deliming is conducted through the compound agent, clean coal with the ash content being 2% + / -0.2% can be prepared into ultra-pure coal with the ash content being lower than 0.2%; the preparation method of the alkaline compound agent is simple and easy to operate, the obtained product is high in quality, the coal ash content of the prepared ultra-pure coal is smaller than 0.2%, deep deashing of the coal is achieved, and further comprehensive utilization of the coal is facilitated.

The utility model discloses a coal cleaning device with a screening function, which relates to the technical field of coal processing and comprises a rack, a net chain conveying belt is arranged at the upper end of the rack, a first mounting plate is fixedly mounted at the lower end of the rack, and a water tank is fixedly mounted at the upper end of the first mounting plate. A circulating pump is fixedly installed on the back face of the machine frame, supporting plates are symmetrically and fixedly installed at the upper end of the machine frame, and cleaning pipes are fixedly installed on the opposite sides of the supporting plates. By the adoption of the structure, after cleaned coal enters the mesh screen frame through the guide plate, due to the fact that the springs are installed between the mesh screen frame and the first connecting column and between the mesh screen frame and the second connecting column, under the vibration effect of the vibration motor at the lower end of the mesh screen frame, the inclined mesh screen frame can be combined with the barrier strips to be conveyed downwards point by point, and the coal conveying efficiency is improved. And crushed materials in the coal are sieved out in the conveying process, so that the coal does not need to be sieved after being transferred, and the processing efficiency of the coal is greatly improved.

The invention discloses an intelligent coal gangue sorting control method based on image analysis, and particularly relates to the technical field of coal gangue sorting control, and the method comprises the steps: obtaining appearance image data and internal structure data of coal gangue, preprocessing the obtained data, and extracting appearance image features and internal structure features of the coal gangue; inputting the extracted coal gangue appearance image features and internal structure features into the trained coal gangue type recognition model for coal gangue type recognition; automatically triggering a corresponding sorting instruction based on an identification result; according to the method, the sorting efficiency, the sorting precision, the clean coal yield and the gangue discharge rate in the coal gangue sorting operation are calculated, a dynamic quality evaluation system is established, and optimization is triggered when it is detected that the sorting control quality coefficient corresponding to the related index deviates from expectation, so that the sorting accuracy is effectively improved; the reliability and stability of the coal gangue sorting operation process are effectively improved, and the resource utilization rate can be remarkably increased.

The invention discloses an automatic cleaning coal conveying belt conveyor, which relates to the technical field of coal conveying equipment and comprises a belt conveyor body, an automatic cleaning structure and a water recycling structure. The belt conveyor body provides a coal conveying foundation support; the automatic cleaning structure carries a water scraping structure, a washing structure and an ash sweeping structure through a guide rod, slides along the guide rod to be matched with a belt to operate, progressive cleaning from floating ash removal, stubborn stain washing to water scraping is achieved, all the cleaning structures are matched with water receiving or material guiding components, and it is guaranteed that clean waste is collected in order; the water recycling structure achieves recycling, filtering and circulating supply of cleaning water through the water tank, the filter screen and the submersible pump, and water resources are saved. The cleaning effect is improved through multi-stage collaborative cleaning, belt abrasion is reduced by means of an elastic adaptive structure, the environmental protection property and economical efficiency are enhanced in combination with the water circulation design, and the device is suitable for efficient and automatic cleaning of various coal conveying belts.

The utility model provides a mining crusher with a cleaning function, and relates to the field of crushing equipment for coal processing, the mining crusher comprises a crushing box, the crushing box comprises a feed hopper and a discharge port, two crushing rollers are rotatably connected in the crushing box, the outer surface of the crushing box is provided with a driving assembly, and the driving assembly is connected with the crushing rollers; telescopic assemblies are symmetrically arranged on the crushing box and connected with scraping assemblies used for scraping and cleaning coal on the surfaces of the crushing rollers. According to the device, the crushing roller can be automatically cleaned, effective cleaning is achieved in the mode that scraping and high-pressure air injection are combined, then the follow-up using effect of the crushing roller is stable, the total cleaning time is shortened, and compared with a manual brush cleaning mode, the labor intensity can be greatly reduced; and compared with a water spraying cleaning mode, the phenomenon that coal materials are adhered in the crushing box after being cleaned is avoided, the dual cleaning effect is good, and the subsequent using effect of the mining crushing equipment is better.

The invention discloses a coal gasification fine slag and coal slime collaborative flotation treatment method based on assistance of oily sludge, and relates to the technical field of industrial solid waste resource utilization. The method comprises the following steps: 1) pretreating the oily sludge; (2) mixing the fine coal gasification slag and the oily sludge, pulping and grinding; 3) preparing ore pulp; and 4) flotation separation. According to the method, oil-containing sludge is used for replacing part of a traditional flotation reagent, efficient enrichment of carbonaceous and oil in the coal gasification fine slag and coal slime and separation of inorganic gangue are achieved through the steps of pretreatment, mixing, flotation and the like, and a clean coal product with the ash content smaller than or equal to 10% and the heat value larger than or equal to 7000 kilocalories and tailings with the oil content smaller than or equal to 1% (the lowest value can be 0.5% or below) and the ash content larger than or equal to 80% are obtained. According to the method, the dosage of traditional flotation reagents can be greatly reduced, the treatment cost is reduced, synergistic recycling and harmlessness of the three kinds of solid waste are achieved at the same time, and economic and environmental benefits are achieved.

The invention discloses a third-generation converter one-time dry dust removal system which comprises a high-effect heat exchanger, a banana bend dust remover, a rotational flow heat recovery device and a high-temperature-resistant anti-explosion ultra-clean dust remover, raw gas of a converter enters the high-effect heat exchanger for heat exchange and recovery, the banana bend dust remover is arranged between the high-effect heat exchanger and the rotational flow heat recovery device, and the high-temperature-resistant anti-explosion ultra-clean dust remover is arranged between the banana bend dust remover and the rotational flow heat recovery device. The cyclone heat recovery device is connected with at least one high-temperature-resistant explosion-proof ultra-clean dust remover, clean coal gas is formed at a gas outlet of the high-temperature-resistant explosion-proof ultra-clean dust remover, the clean coal gas is sent to a coal gas switching station after passing through a coal gas axial flow fan and a coal gas washing dehydrator, and the coal gas which is detected to be qualified is sent to a coal gas cabinet. The traditional evaporation cold spray water and electrostatic dust collector process is omitted, the high-efficiency heat exchanger and anti-explosion ultra-clean dust collector process is adopted, the converter gas waste heat recovery efficiency is high, and the dust removal system is safe and environmentally friendly.

According to the scheme, the efficient clean coal dewatering screen comprises a dewatering screen body, and the dewatering screen body comprises a mounting base and a mounting frame mounted at the top of the mounting base through a plurality of elastic assemblies; the driving assembly and the scraping structure are arranged and matched with the vibration motor body to increase the vibration amplitude of the sieve plate, so that the movement amplitude of clean coal on the surface of the sieve plate is improved, and when a reciprocating rod rotates, a scraping plate can be driven by a movable block and a connecting rod to reciprocate on the surface of the sieve plate, so that the clean coal on the surface of the sieve plate is scraped; according to the clean coal dewatering screen, it is further guaranteed that clean coal can fully move on the surface of the screen plate, so that the dewatering capacity of the clean coal dewatering screen is optimized, the more thorough dewatering effect and the higher dewatering efficiency are achieved, when the scraper moves on the surface of the screen plate, clean coal blocked in screen holes of the screen plate can be cleaned, and the good anti-blocking performance is achieved; and stable operation of the device is ensured.

The utility model relates to a combined sorting system of a spiral sorting machine and a teetered bed sorting machine, and belongs to the technical field of coarse slime sorting. According to the technical scheme, the system comprises a classification cyclone, a feeding port of the classification cyclone is used for feeding coarse slime, a first outlet of the classification cyclone is used for being connected with a flotation system, a second outlet of the classification cyclone is connected with a feeding port of a spiral sorting machine, and a first outlet of the spiral sorting machine is used for being connected with a gangue collecting unit; a second outlet of the spiral sorting machine is connected with a feed port of the teetered bed sorting machine, a first outlet of the teetered bed sorting machine is used for being connected with a middling coal collecting unit, and a second outlet of the teetered bed sorting machine is used for being connected with a clean coal collecting unit; by utilizing the advantage of high-density separation precision of the spiral separator and the advantage of high-density separation precision of the teetered bed separator, feeding gangue pre-discharging of the teetered bed separator is realized, and the problem that coarse slime is easily lost in tailings due to insufficient carrying capacity of bubbles in the flotation process in the prior art is solved.

The utility model discloses a blast furnace charging bucket gas recovery device which comprises a charging bucket, one side of the charging bucket is connected with a dust remover used for filtering gas through a pipeline, one side of the dust remover is connected with a high-pressure clean gas pipe network through a pressure equalizing pipe, and the surface of the high-pressure clean gas pipe network is connected with a low-pressure clean gas outer net through a first connecting pipe. The bottom of the high-pressure clean gas pipe network is connected with a first water tank, the bottom of the low-pressure clean gas outer network is connected with a second water tank, through connection between the multiple water tanks and the pipe network, it is ensured that gas can flow smoothly in the system, the problem of gas leakage is reduced, gas leakage is effectively prevented through the liquid seal principle of a U-shaped pipe, and the service life of the system is prolonged. And the joint of the bleeder and the second water tank is communicated with a low-pressure clean gas outer net through a third connecting pipe, and multiple pipelines work cooperatively, so that the gas can be fully collected and conveyed to a corresponding pipe network, and the gas recovery efficiency is remarkably improved.