3846 results about "Kiln" patented technology

The invention discloses a big data prediction model intelligent ammonia spraying control method and system suitable for kiln flue gas denitration. According to the ammonia spraying control method, historical and real-time data of multiple parameters such as the fuel gas flow of the glass kiln are collected firstly, the NOx amount is predicted through modeling of the LSTM-GRU hybrid neural network, the ammonia spraying amount is calculated through self-adaptive control, and the accuracy is ensured through two-stage correction. And the calculated ammonia spraying amount is transmitted to a production master control system to adjust an ammonia supply valve, and automatic alarm and manual control are switched in case of failure. The system comprises a data acquisition module, an intelligent prediction module, a self-adaptive control module and the like, and further comprises a dynamic catalytic reaction simulation test platform for optimization. According to the invention, intelligent automatic control of the big data model is realized, the ammonia spraying amount is accurately adjusted, the denitration efficiency and the ammonia utilization rate are improved, the operation cost is reduced, and the system reliability and stability are enhanced.

The invention relates to the field of intelligent temperature control of industrial kilns, and discloses a graphitization furnace temperature uniformity optimization processing system which comprises a temperature monitoring module, a dynamic matrix control module, a material-control coupling module, a lattice feedback module and a multi-objective optimization module. The method comprises the following steps: constructing an equivalent temperature field through multi-source temperature data fusion; predicting a graphitization trend and generating a dynamic matrix control instruction in combination with a multi-physical field model; dynamically adjusting a thermal conductivity matching temperature gradient of the guard plate; online correcting a material constant based on lattice feedback; closed-loop control is formed, and the process stability and energy efficiency of the graphitization furnace are improved. Through multi-source fusion monitoring, multi-physical field coupling modeling, dynamic thermal conductivity regulation and control, lattice feedback online correction and reinforcement learning multi-objective optimization, temperature uniformity control and energy efficiency improvement of the graphitization furnace are realized, and material performance and process economy are guaranteed.

The invention relates to the technical field of industrial process control, and discloses a denitration intelligent monitoring method and system based on data analysis and a storage medium. The method comprises the following steps: performing working condition identification by using an improved K-means algorithm to obtain stable operation, fire change preparation, fire change proceeding and fire change recovery modes; matching a segmented control strategy according to an identification result, and carrying out weighted fusion on feedforward and predictive control in a fire exchange preparation stage to generate a differentiated liquid ammonia regulation instruction; the disturbance feed-forward compensation amount is calculated in combination with the combustion state of the kiln, the adjusting instruction is restrained, and a liquid ammonia control instruction is obtained; the execution effect is monitored in real time through standardized deviation detection, manual intervention is switched in case of abnormity, and control parameters are fed back and updated in case of normal. The problems that NOx control lags behind and liquid ammonia consumption is not economical under the fire exchange working condition are solved, and the control precision and the self-adaptive capacity of the denitration system are improved.

The invention relates to the technical field of solid waste recycling, in particular to a method for preparing ceramsite through multi-element solid waste co-treatment. The method comprises the following steps: S1, uniformly stirring and mixing waterworks sludge, washing-free waste incineration fly ash, polluted soil and iron tailing slag powder in proportion to obtain a stirred mixture; s2, directly putting the stirred mixture which is uniformly mixed and is in a wet state into a ceramsite drying and granulating kiln, and granulating in the kiln to obtain raw material balls; s3, the raw material balls enter a pyrolysis section in the kiln to be subjected to low-temperature pyrolysis treatment; s4, the pyrolyzed raw material balls enter a calcining kiln to be subjected to high-temperature sintering treatment; and S5, passing the obtained sample through a cooling kiln, and taking out the cooled sample to obtain the multi-element solid waste ceramsite. According to the method, pure solid waste is adopted for preparing the ceramsite, and the links of raw material drying and granulation in traditional ceramsite manufacturing are omitted. The sludge of the waterworks, the waste incineration fly ash, the polluted soil and the iron tailing slag are utilized in a high-valued manner, the energy consumption is low, and less secondary environmental pollutants are generated.

The invention provides a method and device for controlling the liquid level of molten glass in a kiln, a terminal and a medium. The method comprises the following steps: acquiring structural parameters and thermal parameters of the kiln; based on the structural parameters and the thermal parameters, constructing a dynamic mathematical model for describing the liquid level change of the molten glass; the target function of the dynamic mathematical model is used for measuring the deviation between the actual liquid level height and the ideal liquid level height of the molten glass in the kiln; calculating an optimal control law that minimizes an objective function of the dynamic mathematical model based on a linear quadratic regulator algorithm; and adjusting the liquid level height of the molten glass in the kiln based on the optimal control law. According to the method, the dynamic mathematical model used for describing the liquid level change of the molten glass is constructed, the deviation minimization between the actual liquid level height and the ideal liquid level height of the molten glass in the kiln serves as the target, the optimal control strategy is determined, and high-precision stable control over the liquid level height of the molten glass in the kiln is achieved.

The invention discloses a steel slag dry-method treatment system and a whole-process waste heat recovery process, and belongs to the technical field of steel slag treatment and waste heat recovery. According to the technical scheme, the system comprises a high-temperature section waste heat recovery system, a medium-low temperature section waste heat recovery system and a steel slag secondary separation and tailing digestion system. Firstly, steel slag discharged from a smelting furnace enters a high-temperature section waste heat recovery system, and heat is recovered by adopting a vertical waste heat recovery device through air heat exchange. Afterwards, the steel slag subjected to rolling crushing enters a medium-low temperature section waste heat recovery system, and heat of the steel slag is directly exchanged and recovered through a kiln type waste heat recovery device. And finally, iron-containing materials and tailings are separated from the steel slag through magnetic separation, and the tailings can be comprehensively utilized after being digested by digestion gas. The method has the beneficial effects that the whole-process waste heat recovery of the steel slag discharged from the smelting furnace can be realized, the resource recovery rate is improved, and the problems existing in steel slag treatment in the current steel industry are effectively solved.

The invention relates to the technical field of architectural ceramics, and discloses an antifouling matte archaized brick with antiskid performance and a preparation method thereof, the preparation method comprises the following steps: A, preparing a green body layer; b, applying ground glaze to the surface of the green body layer; c, applying anti-skid and anti-fouling matte glaze to the surface of the ground coat layer; d, firing in a kiln after drying; the anti-slip and anti-fouling matte glaze comprises anti-fouling matte glaze, anti-fouling wear-resistant dry particles and anti-slip dry particles, the anti-fouling wear-resistant dry particles are composed of particles with the mesh number larger than or equal to 200 and smaller than 250 and particles with the mesh number ranging from 250 to 325, and the anti-slip dry particles are composed of particles with the mesh number larger than or equal to 150 and smaller than 160, particles with the mesh number larger than or equal to 160 and smaller than 200, particles with the mesh number larger than or equal to 200 and smaller than 250 and particles with the mesh number ranging from 250 to 325. According to the antifouling matte archaized brick with the anti-skid performance, the glossiness, the antifouling performance, the hardness, the abrasion resistance, the color development performance and the anti-skid performance can be considered at the same time under the existing firing condition, and the use satisfaction degree of consumers on the archaized brick is improved.

The invention discloses a belt type roasting machine pellet compressive strength distribution prediction model based on a deep learning network and a system thereof. According to the model, firstly, process variables in the continuous production process of a roasting machine and corresponding pellet compressive strength data are collected, through feature selection, the process variables most related to pellet compressive strength distribution characteristics are obtained to form a feature matrix, and then the feature matrix serves as an input quantity; and constructing a pellet compressive strength distribution prediction model based on the deep learning network, and outputting prediction probability distribution of pellet compressive strength distribution. A prediction system constructed based on the model can achieve accurate modeling and prediction of pellet compressive strength distribution, the learning ability and prediction precision of overall strength distribution are remarkably improved, the model can achieve accurate prediction on the minute level, the technical problem that prediction results are lagged in the prior art is effectively solved, and it is tested that the prediction result is more accurate. The error of the prediction result of the system is only 0.053, and the industrial requirements can be completely met.

The invention relates to the technical field of tunnel engineering prefabricated part production, in particular to a large-diameter duct piece independent kiln assembly line conveying prefabricating method and system. S2, a reinforcement cage and an embedded part are installed; s3, concrete is precisely poured and vibrated; s4, pre-curing and surface treatment; s5, carrying out roller way type flow conveying; s6, hydration heat-driven dynamic maintenance is carried out; and S7, demolding and finished product detection. And S8, mold circulation. According to the large-diameter duct piece prefabricating production line, through technical innovation in multiple aspects of mold, conveying, maintenance, control and the like, the core technical problem in existing large-diameter duct piece prefabricating production is solved, high-precision, high-efficiency, low-energy-consumption and green production of large-diameter duct pieces is achieved, and the large-diameter duct piece prefabricating production line has remarkable technical advantages and wide application prospects and is suitable for large-diameter duct piece prefabricating production. The method can be widely applied to infrastructure construction projects such as shield tunnels, open caisson projects and underground comprehensive pipe galleries.

The invention provides a control method and system for fuel supply of a volatilization kiln, and belongs to the technical field of industrial control. Firstly, real-time working condition data and historical working condition data of the volatilization kiln are obtained, working condition trend prediction processing is carried out based on the real-time working condition data and the historical working condition data of the volatilization kiln, and a working condition trend prediction result is obtained; the method comprises the following steps: constructing a fuel supply plan library according to a working condition trend prediction result, monitoring the deviation between the current working condition and the prediction result in real time, matching and dynamically adapting a target supply adjustment strategy from the fuel supply plan library to obtain an execution scheme, sending the execution scheme to a fuel supply system for execution, and collecting feedback data to update the plan library. Therefore, fuel supply of the volatilization kiln can be intelligently and accurately controlled, production efficiency and product quality are improved, and cost is reduced.

The invention discloses a preparation process of a sintering kiln silicon carbide guide roller with thermal shock resistance and high-temperature corrosion resistance. The process comprises the following steps: sequentially carrying out surface pretreatment such as reticulate pattern laser engraving, sand blasting and cleaning and drying on a silicon carbide guide roller substrate; performing plasma spraying on a pure aluminum oxide coating after preheating; carrying out segmented laser remelting on the coating to improve the compactness; and finally, coating the nano silicon carbide slurry, calcining and curing. The thermal shock resistance and the high-temperature corrosion resistance of the guide roller are remarkably improved by enhancing the binding force of the coating through laser engraving, optimizing the density of the coating through laser remelting and combining post-treatment of nano silicon carbide slurry, and the service life of the guide roller in a lithium battery positive electrode material sintering kiln is prolonged.

The invention relates to the technical field of lime shaft kilns, in particular to a full-automatic Kawasaki rotating lime shaft kiln device, and aims to solve the problems that during combustion of an existing lime shaft kiln, due to the fact that flame heat is concentrated on a local part, a disordered and uniform temperature field cannot be formed, and the calcination temperature of limestone is not uniform; limestone processing is achieved through the combustion mechanism on the supporting seat, the soaking assembly in the thermal insulation shell guides materials and cooperates with the combustion assembly for preheating, a flame jet device of the combustion assembly jets flames, the flames act with heating gas blown out by the high-pressure air pump to form a uniform temperature field, and the material guiding plate guides the materials to enter the rotating processing part. And the processing component disperses the materials through the rotating and material uniformizing assembly, so that the limestone is uniformly heated, and the uniform effect during limestone calcination is improved.

The utility model discloses a device for treating and recycling high-salinity wastewater by using kiln tail gas, which comprises a wastewater tail gas reaction tank, a kiln and a high-salinity wastewater storage tank, a chimney of the kiln is connected with a gas inlet end of a gas conveying pipeline, and a gas outlet end of the gas conveying pipeline is inserted into the wastewater tail gas reaction tank; a water pipe is connected to the high-salinity wastewater storage tank, the other end of the water pipe is inserted into the wastewater tail gas reaction tank, a water pump is mounted on the water pipe and pumps high-salinity wastewater in the high-salinity wastewater storage tank into the wastewater tail gas reaction tank, and the gas outlet end of the gas conveying pipeline is located below the liquid level of the high-salinity wastewater in the wastewater tail gas reaction tank. According to the device, the tail gas generated by the kiln can be collected and used for treating high-salinity wastewater, the purpose of recycling water is achieved, emission of the tail gas is reduced, generated solid by-products are high in purity and can be developed into by-products for use, environmental pollution is reduced, and meanwhile benefits can be increased.

The invention relates to the technical field of non-ferrous metal smelting flue gas treatment and resource utilization, and discloses a non-ferrous metal smelting multi-source flue gas efficient mixing and intelligent regulation and control method and system.The method comprises the steps that flue gas from different kilns enters a main flue through a multi-source flue gas branch regulation and control unit, and through rotational flow momentum, the multi-source flue gas enters the main flue; the basic consistency of each source flue gas structure is achieved; carrying out real-time evaluation on the mixed smoke on a key section; the multi-point sensor array continuously measures data and calculates a uniformity index to realize instant identification of flow field uniformity, time stability and local anomaly; based on measurement data, the intelligent control and operation optimization unit solves a comprehensive performance function in real time on a DCS / PLC platform. The system comprises a plurality of flue gas outlets, a top-blown furnace discharge outlet, a multi-source flue gas branch regulation and control unit and an annularly-collected flue gas total outlet. According to the method, the influence of inlet disturbance on the mixing quality is regulated and reduced from the source.

The invention discloses an industrial equipment linkage control system based on dynamic time sequence reconstruction, relates to the technical field of kiln linkage control, solves the technical problems that a multi-system collaborative dynamic time sequence reconstruction capability is lacked and chain reaction caused by disturbance coupling is difficult to solve, and provides an industrial equipment linkage control system based on dynamic time sequence reconstruction by distinguishing humidity abnormal levels and customizing a heating strategy. The method ensures that heat release is completely matched with a wet material transmission rhythm, improves product drying uniformity, accurately calculates retention time and rotation speed according to a kiln type, realizes a'moisture evaporation demand-rotation speed-retention time 'closed loop, reduces energy consumption, integrates real-time material parameters, waste heat recovery and environment heat dissipation, accurately calculates a heat gap, and performs graded response, so that the energy consumption is reduced, and the energy consumption is reduced. And finally, a cooling air volume-pressure correlation model and an induced draft fan compensation-pressure repair model are established, accurate pressure compensation during cooling strengthening is achieved, and the stability of the microenvironment in the kiln is improved.

The utility model discloses a lepidolite spodumene roasting flue gas multi-pollutant efficient treatment device which comprises a high-temperature dust removal and denitration integrated tower, a fan, a flue gas deacidification tower and a flue gas heat exchanger, the high-temperature dust removal and denitration integrated tower is communicated with a kiln tail of a roasting kiln, and a cooling section of the flue gas heat exchanger is communicated with the high-temperature dust removal and denitration integrated tower and the fan. Flue gas is subjected to heat exchange in the cooling section and then conveyed to the flue gas deacidification tower through a fan, a gas outlet of the flue gas deacidification tower is communicated with the heating section of the flue gas heat exchanger, the flue gas is subjected to heat exchange with flue gas of the high-temperature dust removal and denitration integrated tower in the flue gas heat exchanger to be heated, and the flue gas is discharged through a chimney communicated with the heating section on the flue gas heat exchanger. The device disclosed by the utility model can be used for cooperatively treating various pollutants including dust, SO2, HF, HCL, nitrogen oxides, dioxin, heavy metals and the like, so that high-efficiency treatment on flue gas is realized, and good economic benefits are achieved.

The utility model provides a crystallization roller way kiln for improving crystallization warping of microcrystalline glass. The crystallization roller way kiln comprises a furnace body with a hearth, an inlet is formed in one side of the furnace body, and an outlet is formed in the other side of the furnace body; a conveying device for conveying from the inlet to the outlet is arranged in the hearth; a temperature control system and a temperature control device matched with the temperature control system are arranged in the hearth; from the inlet to the outlet, the temperature control system comprises a heating unit and a cooling unit which are connected in sequence; the temperature control device comprises a top temperature control device and a bottom temperature control device which operate independently; and the conveying device is arranged between the top temperature control device and the bottom temperature control device. According to the crystallization process of the microcrystalline glass, the crystallization roller kiln disclosed by the utility model not only solves the problem that the microcrystalline glass is warped in the crystallization process, but also can correct and repair the warped microcrystalline glass by independently regulating and controlling the temperatures of the tops and the bottoms of the heating unit and the cooling unit.

The invention relates to the field of kiln early warning, and discloses an abnormal behavior detection early warning system in real-time kiln video monitoring, which is used for realizing a leap-type innovation of kiln anomaly detection from single threshold alarm to intelligent hierarchical control. Three-dimensional temperature field data of the surface of a steel pipe is collected through an infrared thermal imager arranged in an annular array, a multi-spectral video stream of a slab stacking area is synchronously obtained in combination with a visible light camera, and a vibration sensor array is deployed to collect roller way vibration phase signals. And environment radiation compensation is carried out based on the Stefan-Boltzmann law, and surface cracks and internal slag inclusion defects are identified through a Kirchhoff law deviation threshold. According to the scheme, through multi-modal data space-time synchronous coding, dynamic weight adjustment and gradient template library self-adaptive correction, the anomaly detection precision and the working condition adaptability are remarkably improved.

Disclosed in the present invention is a multivariant solid waste compatibility optimization method based on matrix operation and machine learning coupling, comprising: acquiring compatible materials, the compatible materials comprising solid wastes and a kiln working medium; using a machine learning model to nest an optimization algorithm, so as to obtain a characteristic parameter requirement set of the compatible materials; on the basis of the characteristic parameter requirement set of the compatible materials, optimizing the compatibility proportion of the solid wastes and the kiln working medium, so as to obtain the optimized compatibility proportion of the solid wastes and the kiln working medium; on the basis of the optimized compatibility proportion of the solid wastes and the kiln working medium, obtaining an optimized solid waste characteristic parameter requirement set; and, on the basis of the optimized solid waste characteristic parameter requirement set and a solid waste characteristic parameter set, completing formulation of the solid wastes. During the operation of boilers / industrial kilns under normal working conditions, the present invention can ensure the product quality of the boilers / industrial kilns, and can reduce the emission of pollutants.

The invention relates to the technical field of bypass ventilation denitration systems, and discloses an intelligent bypass ventilation SCR (Selective Catalytic Reduction) coupling SNCR (Selective Non-Catalytic Reduction) denitration system which comprises a smoke chamber, a cyclone cylinder, a precise ammonia spraying system, an air mixing chamber, a cooling fan, a cold air valve, a dust collection chamber, an SCR reactor, an exhaust fan, a chimney, a stock bin, a bin pump, a compressed air system and an intelligent control system, the air inlet is connected with the smoke chamber, and the feed opening is connected with the bin pump. Under any working condition, NOx emission at a chimney outlet can reach the standard, the ammonia water consumption is lowest, the denitration effect is good, the investment cost is low, the problem that NOx emission of the kiln tail chimney is unstable and prone to exceeding the standard is solved, the catalyst abrasion and blocking risk can be greatly reduced, the catalyst dosage is small, the maintenance cost is low, and the method is suitable for industrial production. And long-term stable operation of the system is realized.

The invention discloses an automatic monitoring method for an industrial solid waste treatment process, and the method comprises the steps: synchronously collecting a temperature distribution matrix, a gas concentration spectrogram, a kiln body vibration spectrum and a material rheological image in the solid waste treatment process, constructing a multi-source heterogeneous data set, and carrying out the time-space alignment preprocessing; based on a preset solid waste component feature code, calling a process parameter reference value, and performing self-adaptive correction in combination with the material rheological image features to generate a personalized reference set; fusing the multi-modal monitoring data to generate a solid waste reaction process three-dimensional state model, extracting core feature parameters, comparing the core feature parameters with a personalized reference set, and screening abnormal features; inputting the abnormal features into a pre-trained abnormal diagnosis model, and when an abnormal probability value exceeds a preset threshold value, triggering early warning and generating an abnormal identifier; according to the method and the system, intelligent monitoring and regulation of the industrial solid waste treatment process are realized, and the stability, the safety and the treatment efficiency of the treatment process are comprehensively improved.

The invention relates to the technical field of concrete curing, in particular to an intelligent control method and system for a precast concrete component curing kiln, and the method comprises the steps: obtaining historical and real-time environment parameters of the curing kiln, generating monitoring data with an identifier in combination with a component type and a current process stage, and matching a corresponding preset temperature and humidity regulation and control model. And optimizing the model by using a historical temperature and humidity response sample and component strength increase data to generate a personalized target temperature and humidity regulation and control model. And analyzing real-time parameters based on the model, outputting a control instruction containing a target temperature rise rate, a humidity threshold value and heat preservation time, and converting the control instruction into a kiln body adjustment control signal according to a dynamically adjusted execution rule. And finally, sending to an execution terminal to realize cooperative regulation and control of heating, humidification, ventilation and heat preservation systems. According to the method, multi-source data and process characteristics are fused, the adaptive learning ability is achieved, the maintenance environment can be accurately regulated and controlled, and intelligent, refined and efficient operation of the maintenance process is achieved.

A kiln moisture measurement system is provided for measuring the moisture content of a charge of timber in a timber drying kiln, and comprises first and second electrically conductive elements spaced apart in the kiln on respective mounts, with the charge of timber between the electrically conductive elements. The first and second electrically conductive elements are connected to an electronic controller such that electric charge can be transmitted between the first and / or second electrically conductive element and the electronic controller. The electrically conductive elements are each resiliently movable against respective contact portions of the charge of timber when the charge of timber is adjacent the first electrically conductive element and the second electrically conductive element. The electronic controller is subsequently configured to measure one or more dielectric properties of a portion of the timber between the electrically conductive elements to determine a moisture level of the charge of timber.

The invention discloses a manufacturing method of an all-electric float glass melting furnace. The manufacturing method comprises the following steps: S1, carrying out modular prefabrication on a melting furnace structure; s2, assembling a multi-stage electrode system; s3, integrating an intelligent temperature control system; and S4, debugging and optimizing the melting furnace. The invention has the following beneficial effects: emission of combustion waste gas is eliminated, and zero-carbon production is realized; compared with a traditional melting furnace, the energy consumption is reduced by more than 40%, and the power consumption per ton of glass is less than or equal to 1200 kWh; the temperature control precision reaches + / -2 DEG C, and the bubble defect rate is reduced by 50%. The electrode replacement time is shortened by 70% through the modular design; a digital twin system can predict performance degradation within a kiln age cycle.

The invention discloses a smelting furnace control system for rubber product processing, and relates to the technical field of rubber product production control. The main problems that in existing production, data support for active adjustment is lacked in temperature control of a rubber product kiln, and the optimal air-fuel ratio cannot be determined so that the combustion efficiency can be guaranteed, and meanwhile the content ratio of smoke components can be within a set interval can be solved. According to the method, the corresponding fuel gas change amount and the combustion-supporting air change amount are accurately calculated through the temperature difference between the actually measured temperature at the bottom of the pool and the temperature expected threshold value interval in combination with the volume fraction of each alkane component in the fuel gas and the kiln efficiency, so that data support is provided for adjustment and control, and energy waste is avoided; smoke components are analyzed through the smoke parameter feedback module, whether combustion air is insufficient or excessive is judged, the result is fed back to the fuel input control module to adjust the air-fuel ratio, the operation is repeated for multiple times, and accurate derivation of the optimal air-fuel ratio is achieved.

The invention relates to the technical field of waste heat recovery of calcining kilns, and particularly discloses a kiln head and smoke chamber waste heat recycling system of a calcining kiln, comprising: a first heat exchange assembly comprising a first jacket and a first power source, the first jacket is arranged on the outer side of the end part of the kiln head, and the first jacket is provided with a first inlet and a first outlet; the first power source is used for driving the heat transfer medium in the first jacket to flow, so that the heat transfer medium can flow into the first jacket from the first inlet and then flow out from the first outlet; the second heat exchange assembly comprises a second jacket and a second power source, the second jacket is arranged on the outer side of the chamber hopper, a second inlet and a second outlet are formed in the second jacket, and the second power source can enable the heat transfer medium to flow into the second jacket from the second inlet and then flow out from the second outlet. According to the application, the heat diffused to the outside air at the kiln head and the smoke chamber can be reduced, and the waste heat at the kiln head and the smoke chamber is recycled, so that the utilization rate of resources is improved.

The present invention belongs to the technical field of glass manufacturing. Provided are a recipe of glass capable of carbon emission and a preparation method for the glass capable of carbon emission. The recipe comprises the following raw material components in percentage by mass: 53-60% of quartz sand, 12-18% of wollastonite, 5-12% of albite, 0.5-2% of spodumene, and 15-20% of NaOH; on this basis, 2-5% of water and 5-10% of a silica sol binder are additionally added to ensure the humidity and good adhesive effect of a compounded material. The raw materials are fully mixed and then fed to an extrusion molding machine, the pressure in the extrusion molding machine is controlled to be 50-150 MPa, and extrusion is performed to form spherical or flake-shaped pellets having a diameter of 5-15 mm; and the granulated and molded pellets of the compounded material are then preheated to 500°C and put into a kiln for melting to obtain glass capable of carbon emission. The preparation method can improve the utilization rate of the compounded material, shorten the melting time, reduce the melting temperature, improve the quality of glass melting, reduce the unit energy consumption, and reduce the carbon emission.

The invention discloses ceramic cup firing forming equipment, and relates to the technical field of firing forming equipment, the ceramic cup firing forming equipment comprises a kiln and a base, the base penetrates through the kiln, a rotatable ceramic roller bar is installed on the base, a supporting frame is placed at the top end of the ceramic roller bar, the ceramic roller bar is used for driving the supporting frame to be conveyed from a kiln head to a kiln tail, and the ceramic roller bar is used for driving the supporting frame to rotate. The supporting frame is composed of a bottom plate and a supporting plate and comprises a connecting mechanism and a limiting mechanism. By arranging a connecting mechanism and a limiting mechanism, a cup body is placed at the top end of a grid plate, a supporting plate is assembled above a bottom plate, at the moment, a transverse rod moves, a sliding rod slides in an inclined groove to drive a vertical rod to move upwards, the vertical rod drives a limiting frame to move, and the limiting frame moves to drive a limiting groove to move to the outer side of the bottom of the cup body; and the limiting groove is used for limiting the cup body, so that the ceramic cup can be conveniently limited in the firing process, and the cup body is prevented from shifting in the firing process.

The utility model relates to the technical field of metallurgical equipment, and discloses an environment-friendly kiln for lithium ore smelting, which comprises a kiln and a waste gas treatment mechanism, the side wall of the kiln is provided with a waste gas outlet, the inside of the kiln is provided with a feed port, and one side of the waste gas outlet far away from the kiln is provided with a heat exchange mechanism. A waste gas pipeline and a smoke outlet are arranged on the two sides of the waste gas treatment mechanism respectively, the heat exchange mechanism comprises a heat exchange cavity, a cold side outlet and a cold side inlet are formed in the two sides of the heat exchange cavity respectively, and a plurality of spoilers are installed in the side, close to the heat exchange mechanism, of the waste gas outlet. In the utility model, the spoiler is arranged in front of the heat exchanger to prolong the retention time of waste gas and improve the heat exchange efficiency. Meanwhile, an alkaline solution is sprayed to neutralize acidic components, generated solid byproducts such as sodium sulfate and calcium sulfate can be recycled for building materials or chemical engineering after being separated from liquid, and the production cost is reduced.

The invention relates to the field of sleeve kilns, and discloses a device and method for evenly distributing materials in a sleeve kiln, the device comprises a kiln body feeding port, the top end of the kiln body feeding port is fixedly connected with a gear ring frame, the top end of the gear ring frame is fixedly connected with a driving motor, and an output shaft of the driving motor is fixedly connected with a rotating shaft downwards; a gear ring is movably connected into the gear ring frame, the bottom end of the rotating shaft is movably sleeved with a swing arm, the other end of the swing arm is rotationally connected with a gear, the bottom end of the gear is rotationally connected with a shifting rod, and the top of the kiln body feeding opening is movably connected with a rotating disc. According to the uniform material distribution device in the sleeve kiln and the material distribution method, the driving motor is arranged, and the material distribution direction is continuously adjusted, so that the material can be uniformly laid in the feeding opening of the kiln body, and the heating uniformity of the material in the sleeve kiln and the overall utilization efficiency of the kiln body are improved; the problems of non-uniform heat exchange and poor calcining effect caused by concentrated accumulation of materials are solved.