18117results about How to "Improve uniformity" patented technology

The invention discloses a method for dynamically adjusting a tea fermentation environment by utilizing fuzzy logic control. The method comprises the following steps: S1, collecting and obtaining environment parameter data of each layer in real time; s2, fuzzy processing is carried out on the temperature, humidity and oxygen concentration in each time period through a fuzzy logic controller, and fuzzy control output of each time period is generated; s3, combining a hybrid neural network architecture and a meta-learning technology to construct an environment parameter change model; s4, optimizing the fuzzy rule base by using the environment parameter change model; s5, converting the fuzzy control output of each time period into a control instruction; s6, optimizing the fermentation environment through a cross-layer parameter equalization strategy to obtain the optimal state of the environmental parameters in the fermentation process; and S7, displaying environmental parameters of each spatial level and time stage in real time, and supporting switching between a manual mode and an automatic mode. The method combines fuzzy logic control and a deep learning technology, realizes accurate dynamic adjustment of the tea fermentation environment, and has the advantages of high adaptability and the like.

The invention discloses a uniform magnetic field design system and method based on intelligent perception, and relates to the technical field of uniform magnetic fields. Local deviation of a magnetic field is detected and analyzed in real time through an intelligent perception system and a deep reinforcement learning algorithm, and refined magnetic field compensation is realized by dynamically adjusting and compensating coil current; pID (Proportion Integration Differentiation) control is combined with intelligent feedback, a rapidly changing local magnetic field is rapidly and accurately adjusted, local nonuniformity, thermal noise and a potential interference source are identified through quantum simulation analysis, coil parameters are optimized in combination with deep reinforcement learning, and current and coil spacing are adjusted to maximize the uniformity of the magnetic field. The uniformity and the stability of the magnetic field are remarkably improved, meanwhile, the resistance to thermal noise and external disturbance is enhanced by monitoring and analyzing the change of the magnetic field in real time, recognizing an external interference source and performing compensation adjustment, the dependence on manual adjustment is greatly reduced, and different magnetic field requirements can be quickly met.

The invention relates to the technical field of drying process control, in particular to a medicinal material drying process control method and system for traditional Chinese medicinal material processing, and the method comprises the following steps: calling a temperature set value, a humidity discharge rate and heating power based on the operation condition of a drying chamber, and analyzing the difference value between the medicinal material moisture content and the target moisture content; combining the medicinal material density with the water content change rate, matching the coupling relationship between the humidity discharge rate and the heating power, and establishing an initial drying process control value; according to the method, through collaborative analysis of the temperature set value, the humidity discharge rate and the heating power, accurate matching of initial drying conditions and material characteristics is achieved, excessive drying is avoided, linkage of the air speed and the humidity discharge rate is optimized, humidity distribution uniformity and environmental stability are improved, the evaporation rate is dynamically matched, and the drying efficiency is improved. Drying uniformity and quality stability are improved, termination control parameters are optimized in real time, drying time is shortened, energy consumption is reduced, and active ingredients and physical characteristics of medicinal materials are reserved to the maximum extent.

The invention relates to the field of metal powder forming, in particular to a metal powder forming device for gear production. According to existing equipment, dead corners of a die are difficult to fill with metal powder, the phenomenon that the metal powder on the inner surface layer of the die is virtually full is easily caused, then the strength of a pressed and formed gear is uneven, and the quality of the pressed and formed gear is affected. A metal powder forming device for gear production comprises a base. The fixing frame is fixedly connected to the base. Due to the fact that the moving wall moves upwards, the space between the moving wall and the mold is enlarged, and the space between the moving wall and the mold can be completely filled with excessive metal powder. And when the vibrator is started, the metal powder can be directly vibrated, so that dead corners between the moving wall and the mold are uniformly filled with the metal powder, the strength of the pressed and formed gear is uniform, and the quality of the pressed and formed gear is improved.

The invention discloses a jet aerator with low energy consumption and high oxygenation efficiency. The jet aerator comprises a Venturi tube and a quick-pass rhombic tube which are of a split structure, multi-rod supports are installed on the inner wall faces of round pipes at the two ends of the venturi pipe and support tail hook bionic stirring blades, a double-end reverse screw is arranged in the venturi pipe, one end of a quick-pass rhombic pipe is connected with the venturi pipe, the other end of the quick-pass rhombic pipe extends into an air suction chamber, and the upper portion of the air suction chamber is connected with an air supply pipe. The end, away from the Venturi tube, of the air suction chamber is connected with a mixing cavity tube, the mixing cavity tube is connected with the front end of a throat tube, a divergent wing-like blade set and a special-shaped taper hole plate are arranged in the mixing cavity tube, and a grid tray scattering nozzle is arranged in the throat tube; compared with a circular pipeline, the quick-passing rhombic pipe can provide higher water conveying capacity; the gradual change spiral body design on the double-end reverse screw can generate vortexes and turbulent flows, the turbulent flow intensity of water flow is improved, the mixing and diffusion capacity of the water flow is improved, and therefore the oxygenation efficiency is improved.

The invention relates to the technical field of nano ceramic materials, and discloses a high-strength nano aluminum oxide ceramic product and a preparation process thereof.The preparation process comprises the following preparation steps that aluminum oxide powder, a composite binder, composite gel, a plasticizer and a solvent are mixed and subjected to ball milling, and composite slurry is obtained; placing the composite slurry in a mold, and performing mold pressing and drying to obtain a green body; and putting the green body into a high-temperature sintering furnace, carrying out high-temperature sintering, and cooling to room temperature to obtain the nano aluminum oxide ceramic product. Nano zirconium oxide and nano magnesium oxide are formed on the surfaces of the pretreated silicon carbide whiskers, and can form a solid solution with nano aluminum oxide in the sintering process to serve as a bridge of the silicon carbide whiskers and nano aluminum oxide particles, so that the binding force of the silicon carbide whiskers in a nano aluminum oxide ceramic matrix is remarkably enhanced; phosphoric acid and aluminum ammonium sulfate are firmly combined on the surfaces of nanometer aluminum oxide particles through carboxymethyl cellulose, and the situation that phosphoric acid and aluminum ammonium sulfate are not firmly combined with the nanometer aluminum oxide particles is avoided.

The invention discloses an energy storage lithium battery device capable of rapidly dissipating heat and cooling, and relates to the technical field of energy storage batteries, the energy storage lithium battery device comprises an energy storage lithium battery main body, a protective shell and a sealed liquid storage box, the bottom of the energy storage lithium battery main body is connected with the protective shell in a wrapping manner, and air cooling heat dissipation mechanisms are mounted on two sides of the protective shell; and the middle part of the bottom end of the protective shell is fixedly connected with a sealed liquid storage tank. Transmission gears at the two ends can be driven to rotate through a double-head servo motor and a motor rotating shaft, so that a driven gear block and a first cooling fan can be conveniently driven to rotate, and heat generated by an energy storage lithium battery main body in the protective shell can be dissipated to realize efficient air-cooling heat dissipation; and meanwhile, when the conveying hose is extruded, the heat dissipation liquid in the sealed liquid storage tank is extracted and circulates in the liquid cooling heat exchange pipe, and the heat dissipation liquid can absorb heat in the protective shell in the circulation process to achieve liquid cooling heat dissipation.

The invention relates to the technical field of distributed file processing, in particular to a distributed file processing method and system, and the method comprises the following steps: based on a task distribution node and a data exchange interface, extracting path characteristics of a task input / output file, analyzing a file exchange sequence of a task path, and calculating a topological structure and length of the path. According to the method, the flexibility and the adaptability of task allocation are realized by combining task state monitoring and real-time adjustment of dependent path weights and task priority marks, resource allocation and a short-time task sequence are optimized by utilizing request frequency and time period records, high-frequency request resource conflicts are effectively relieved, the resource allocation efficiency is improved, and the resource allocation efficiency is improved. Through node historical resource distribution data and time distribution trend analysis, task distribution is adjusted and resource loads are balanced in combination with differences, the stability and balance of the system are enhanced, a file transmission path is optimized based on a load state and a task execution path, and a concurrent task distribution strategy is improved.

The invention discloses a composite positive electrode material and a preparation method thereof, a positive plate and a lithium ion battery. The composite positive electrode material comprises lithium iron phosphate and a carbon coating layer coating the surface of the lithium iron phosphate, wherein the integral intensity ratio ID / IG of a D peak to a G peak of the carbon coating layer in a Raman spectrum is 0.2-0.9, and the resistivity of the composite positive electrode material is 0.1-10 omega.cm. According to the preparation method, the graphitization degree of the carbon coating layer is controlled within a proper range (ID / IG is 0.2-0.9), so that good conductivity is ensured, and structural instability caused by excessive graphitization is avoided. The moderate graphitization degree is beneficial to formation of an ordered carbon layer structure, provides more electron transport channels and reduces the potential barrier of electron migration, so that the conductivity of the composite material is greatly improved, and the resistivity is reduced to an excellent level of 0.1-10 omega.cm.

The invention relates to a construction method for predicting the film thickness of a double-sided local coating based on a machine learning simulation model, and belongs to the technical field of electroplating. According to the method, the LR logistic regression model is perfected and constructed through the machine learning simulation model, and the LR logistic regression model is trained by utilizing the constructed logistic regression model, so that the optimal electronic electroplating production conditions of semiconductor devices with different structures can be quickly determined, and the optimal plating piece double-sided local electronic electroplating control mode is further obtained; according to the method, the accuracy of predicting the thickness of the double-sided local coating of the semiconductor device can be realized, the error with the thickness of the coating of an actual electroplating product can be greatly reduced, further improvement of an electronic electroplating module can be realized, the uniformity of the thickness of the double-sided local coating of the semiconductor device can be improved, and the requirement of high quality of the semiconductor device can be met.

The invention belongs to the technical field of concrete temperature regulation and control, and particularly relates to a mass concrete intelligent temperature control system based on a neural network and PID control, and the system comprises a temperature obtaining module which is used for obtaining temperature data in mass concrete; the data processing module is used for processing the temperature data; the temperature prediction module is used for predicting the temperature change trend of the mass concrete; the PID control module is used for calculating the temperature deviation between the real-time temperature data and the target temperature data according to the real-time temperature data and generating a cooling control signal through a PID algorithm; the PID control module is further used for judging whether the current PID control parameter meets a preset requirement or not according to the temperature change trend predicted by the temperature prediction module, and automatically adjusting the PID control parameter when the judgment result is that the current PID control parameter does not meet the preset requirement; and the cooling execution module is used for adjusting the cooling system to work according to the cooling control signal. According to the invention, the temperature of the large-volume concrete can be effectively controlled in the pouring process.

The invention relates to the technical field of humidity compensation, in particular to a humidity gradient compensation method and device for an alternating humidity heat test box. The method comprises the following steps: acquiring test box state monitoring parameters based on a multi-dimensional sensor array; performing spatial humidity gradient distribution analysis on the state monitoring parameters of the test box, performing discrete interpolation fitting, and constructing a three-dimensional humidity gradient trend network; carrying out internal dynamic airflow diffusion analysis on the alternating damp heat test box so as to generate dynamic airflow diffusion data of the test box; carrying out dynamic humidity diffusion path mining on the three-dimensional humidity gradient trend network based on the dynamic airflow diffusion data of the test box, and constructing a dynamic humidity diffusion twin model; acquiring external environment monitoring parameters of the test box; and carrying out environment change association mining on the three-dimensional humidity gradient trend network based on the test box external environment monitoring parameters so as to generate humidity gradient change association data under environment fluctuation. According to the invention, efficient and accurate humidity gradient compensation is realized.

The invention discloses a dynamic pressure control airflow crushing system for improving crushing efficiency, and relates to the technical field of crushing control, the system is characterized in that the pressure change in a crushing cavity is monitored in real time through a pressure sensor, and the real-time data of the pressure in the crushing process is obtained; according to the characteristics and crushing requirements of the materials, airflow crushing cycle analysis is carried out, and initial control parameters are obtained; in the crushing control process, crushing parameters are collected and fed back; performing difference analysis according to the monitoring control parameter and the crushing monitoring parameter by taking the crushing requirement as a target, and identifying a compensation requirement parameter; and dynamically adjusting the initial control parameters to obtain self-adaptive control parameters. The technical problems that in the prior art, due to the fact that accurate pressure and airflow parameters in a smashing cavity are difficult to obtain in real time, smashing parameters cannot be flexibly adjusted, the smashing efficiency is low, and particle size distribution of products is uneven are solved, and the technical effect of improving the smashing efficiency and the uniformity of discharged particles is achieved.

The invention belongs to the technical field of soft magnetic materials, and discloses an amorphous nanocrystalline soft magnetic material with high saturation flux density and a preparation method thereof. The preparation method comprises the following steps that an iron-based amorphous strip is crushed into flat powder with the thickness being 5-25 microns and the diameter being 30-80 microns, and scaly amorphous soft magnetic powder is obtained; the method comprises the following steps: performing insulation coating treatment on spherical iron-silicon soft magnetic powder with the average particle size of 2-20 microns to obtain insulation coating modified spherical magnetic powder; and mixing the obtained scaly amorphous soft magnetic powder, the insulating coated modified spherical magnetic powder and bonding resin, performing compression molding, performing annealing crystallization treatment at the temperature of 450-550 DEG C, and then raising the temperature to 600-900 DEG C for sintering treatment to obtain a finished product. According to the amorphous nanocrystalline soft magnetic material and the preparation method thereof, the spherical iron-silicon soft magnetic powder modified through insulation coating is compounded with the scaly amorphous soft magnetic powder, and low loss is maintained while the obtained amorphous nanocrystalline soft magnetic material Bs is remarkably improved.

The invention relates to a texturing additive composition for a silicon wafer and a texturing solution. The texturing additive composition comprises the following components: 0.01-7.5 wt% of a nucleating agent; 0.05 to 5.5 wt% of an etching control agent; 0.0001 to 3.5 wt% of a dispersant; 0.0 to 2.0 wt% of a surfactant; 0.0 to 5.0 wt% of a pH conditioning agent; and water. The texturing additive composition and the texturing liquid can be matched with the special thin film deposition requirement of the heterojunction solar cell, and the synergistic effect of the components in the texturing additive composition can optimize the texturing structure combination on the basis of ensuring the texturing full rate, so that the texturing pyramid distribution is uniform, and the texturing quality is improved. And the apparent reflectivity of the surface of the silicon wafer is lower. The suede structure combination is beneficial to deposition of an amorphous silicon film in the next process of the heterojunction solar cell, and meanwhile, the suede structure combination has excellent light trapping performance.

The invention relates to a hot-rolled wire rod for a 1960MPa-grade bridge cable and a manufacturing method of the hot-rolled wire rod, after a C-Si-Mn-Cr hypereutectoid component is rolled and spun into a wire rod, the wire rod is subjected to online molten salt strong isothermal treatment, so that the wire rod firstly passes through front-section molten salt and is cooled at a cooling speed of more than or equal to 36 DEG C / s, and enters a sorbite phase region from an austenite state to promote transformation of part of austenite to sorbite; the method comprises the following steps: carrying out high-temperature heat treatment on a steel wire rod, then carrying out rear-section molten salt heating isothermal treatment to promote pearlite phase change and isothermal tempering, and finally carrying out roller way slow cooling to prepare a mixed structure with a microscopic structure mainly comprising tempered sorbite and tempered pearlite and the balance of ferrite and quasi-spheroidized carbide, so that a component system can be simplified, the structure of the steel wire rod is regulated to be uniform, and the service life of the steel wire rod is prolonged. The tensile strength is 1360-1410 MPa, the percentage reduction of area is 45%-50%, the requirement for the strength grade of a 1960 MPa bridge cable is met, and meanwhile the risks of wire breakage and unqualified torsion of manufactured wires are reduced.

The invention discloses a pre-lithiated silicon-carbon negative electrode material as well as a preparation method and application thereof. The pre-lithiated silicon-carbon negative electrode material comprises composite particles and a surface coating layer coating the outer surfaces of the composite particles, the mass of the composite particles accounts for 85%-99% of the total mass of the pre-lithiated silicon-carbon negative electrode material; the composite particles are compounds of pre-lithiated porous carbon and nano silicon particles; the composite particles are obtained by uniformly depositing nano silicon particles in pores of pre-lithiated porous carbon; the mass of the pre-lithiated porous carbon accounts for 15-95% of the total mass of the composite particles; the pre-lithiated porous carbon comprises lithium metal particles and porous carbon, and the lithium metal particles are attached to the surfaces of pores of the porous carbon; the mass of the lithium metal particles accounts for 0.1-10% of the total mass of the pre-lithiated silicon-carbon negative electrode material; when the pre-lithiated silicon-carbon negative electrode material is applied to the lithium battery, the first-circle coulombic efficiency of the lithium battery can be improved.

The invention discloses rapid die casting equipment for aluminum alloy die castings, and relates to the technical field of metal die casting. A first channel is formed in a die plate and an ejector rod, and a spray hole communicating with the first channel is formed in the ejector rod; according to the device, the mold release agent can be sprayed to the relatively-closed die-casting cavity in a mold closing state, the comprehensive uniformity of the mold release agent during adhesion is improved, the demolding effect after a die casting is formed is improved, the mold release agent is sprayed in the relatively-closed die-casting cavity, and the mold release effect is improved. According to the die-casting mold core, the release agent can be prevented from escaping outwards, the surrounding environment can be protected easily, waste of the release agent can be avoided, energy-saving, environment-friendly, green and efficient die-casting production is achieved, meanwhile, the spraying holes are formed in the cylindrical face of the end of the ejector rod, the spraying holes cannot be exposed when the ejector rod retracts into the die core, and the die-casting mold core is more environment-friendly. And interference to die-casting production due to the fact that the spraying holes are exposed in the die-casting cavity can be avoided.

The invention discloses a microencapsulation repairing agent and an intelligent self-repairing ultrahigh-strength ultrahigh-toughness cement-based structural material, the microencapsulation repairing agent is mainly composed of a humidity-responsive outer layer, a pH-responsive middle layer and a temperature-responsive inner layer, and the outer layer is modified with a silane coupling agent. The intelligent self-repairing ultrahigh-strength ultrahigh-toughness cement-based structural material is mainly prepared from the microencapsulated repairing agent, nano carbon black, nano montmorillonite, nano cellulose and other raw materials. According to the invention, by introducing the self-repairing microcapsule with a specific structure and materials such as nano carbon black, nano montmorillonite and nano cellulose, the strength, toughness and durability of the concrete are remarkably improved, and the concrete has an intelligent self-repairing function.

The invention discloses a rice disease and insect pest early warning method and system based on image recognition, and particularly relates to the technical field of insect pest recognition, different areas of a rice field are comprehensively covered through multi-source high-resolution image collection, it is ensured that the image quality reaches a preset threshold value, median filtering and histogram equalization are adopted in the image preprocessing step, and the image quality is improved. Based on a geographic information system and a Kriging interpolation method, a spatial heterogeneity model of rice field disease transmission is established, a deep convolutional neural network is used for carrying out feature extraction on the image, the type, position and severity of diseases and pests are accurately recognized, the extracted features are combined with the spatial heterogeneity model, and the accuracy of the disease and pest detection is improved. A spatial autocorrelation analysis method is adopted to deeply evaluate the distribution mode of diseases in the rice field, and a support vector machine algorithm is applied to perform classification evaluation on the disease and pest risk, so that the problems of early warning lag and missing report caused by disease spatial heterogeneity are effectively solved, and the accuracy and timeliness of early warning are improved.

The invention relates to the technical field of battery diaphragms, in particular to a composite coating diaphragm for a lithium ion battery and a preparation method of the composite coating diaphragm, and the preparation method comprises the following steps: coating aramid polymer slurry on a base membrane, and carrying out coagulating bath forming and drying treatment to obtain an aramid coating diaphragm intermediate; the aramid polymer slurry comprises a cross-linked structure aramid polymer solution, a pore-foaming agent and a cosolvent; the weight-average molecular weight of a cross-linked structure aramid polymer in the cross-linked structure aramid polymer solution is 15-30 W; and coating the surface of the aramid fiber coated diaphragm intermediate with a TiO2 treatment solution, and finally performing drying treatment to obtain the composite coated diaphragm. The TiO2 treating fluid is prepared from TiO2 sol and a water-based adhesive. The composite coating diaphragm has higher heat resistance, diaphragm rupture temperature, puncture strength and low water absorption performance; and after the battery is assembled, the battery shows better electrochemical and safety performance.

The invention discloses a PCB (printed circuit board) spraying etching machine and a method thereof, belongs to the technical field of spraying etching machines, and provides the following scheme that the PCB spraying etching machine comprises a spraying etching mechanism, a cleaning mechanism is assembled in the spraying etching mechanism, and the spraying etching mechanism comprises etching equipment; the first motor drives the rotating shaft to rotate, the rotating shaft drives the worm and the worm gear to conduct transmission, the polygonal cylinder drives the conveying wheel to rotate, the conveying wheel can achieve the purpose of automatic material conveying, meanwhile, the conveying pump sprays etching liquid to a circuit board through the spraying heads, the angles of the spraying heads are different, and therefore spraying uniformity can be kept, and the spraying efficiency is improved. And the rotating shaft also drives the cam to rotate, so that the cam extrudes the pulley to move, and the cam can be matched with the first spring to realize the reciprocating translational motion of the polygonal cylinder, so that the conveying wheel drives the circuit board to do reciprocating motion, the circuit board can be uniformly etched, and the processing quality of the circuit board is improved.

The invention belongs to the field of paper products, and particularly relates to a heat-sealing coating composition for paper products and application of the heat-sealing coating composition, the coating composition comprises a component A, a component B, a component C and a component D, the component A is one or two of a biomass material with a dendritic or network structure or a cationized biomass material with a dendritic or network structure; the component B is selected from one, two or more of polyhydroxyalkanoate, alkyl ketene dimer, polyglycolide, polylactide, copolymer of butylene adipate and butylene terephthalate, cellulose ester and cellulose ether; and the component C is selected from one, two or more of thermoplastic cellulose and derivatives thereof, thermoplastic starch, rosin, cardanol-based epoxy resin, epoxidized soybean oil, epoxidized castor oil, tannic acid and malic acid. The coating composition is simple in preparation process and easy to industrialize, a target mixture can be obtained through physical blending, and the coating composition is low in production cost, energy-saving and environment-friendly.

The invention provides antibacterial ceramic and a preparation method thereof. The antibacterial ceramic comprises a blank body and a glaze layer, the blank body is prepared from the following raw materials: kaolin, diatomite, montmorillonite, soapstone, bamboo charcoal powder, a first antibacterial agent, a fluxing agent, a pore forming agent, an adhesive and a reinforcing agent; the glaze layer comprises the following raw materials: kaolin, diatomite, dolomite, tourmaline, sodium oxide, a second antibacterial agent, a binder, a stabilizer and a dispersant. The method comprises the following steps: firing a molded green body by adopting stepped segmented heating, and carrying out glaze firing by adopting stepped segmented heating after glazing, thereby obtaining the antibacterial ceramic. According to the antibacterial ceramic disclosed by the invention, the antibacterial agent is added into the green body and the glaze layer, so that the influence on the antibacterial property of the green body in the firing process of the green body is avoided, the antibacterial durability is further improved, the antibacterial effect is enhanced, and the antibacterial rate on pathogenic bacteria such as escherichia coli and staphylococcus aureus reaches 99.99%.

The invention discloses a roughness optimization method and system for ultrasonic vibration assisted magneto-rheological deterministic polishing, and the method comprises the steps: placing an ultrasonic vibration table on a workpiece rotating shaft of a magneto-rheological machine tool, and connecting and fixing a workpiece to be machined with a clamp of the ultrasonic vibration table; the position posture of the workpiece to be machined is adjusted through a leveling mechanism and a center adjusting mechanism of the magneto-rheological machine tool, and it is ensured that the press-in position and the press-in depth of a magneto-rheological polishing ribbon formed on a polishing wheel in the magneto-rheological machining process are consistent; the viscosity and the flow of the magnetorheological polishing liquid are kept stable; detecting surface shape error data of the workpiece to be processed by the wave surface interferometer and generating a processing code; and the obtained machining code is input into a magneto-rheological machine tool, so that the magneto-rheological polishing ribbon conducts deterministic polishing on the detected workpiece to be machined based on the fixed press-in position and the press-in depth. The ultrasonic vibration assisted magneto-rheological deterministic polishing roughness optimization method aims at achieving ultrasonic vibration assisted magneto-rheological deterministic polishing roughness optimization, material removal uniformity is promoted, and the roughness of a workpiece is effectively reduced.

The invention belongs to the technical field of flue gas treatment, and discloses a flue gas low-temperature dry desulfurization and denitrification treatment system which comprises an SDS (sodium dodecyl sulfate) desulfurization reactor, a feeder, an ammonia water tank, an SCR (selective catalytic reduction) denitrification reactor and a dust removal tank, an exhaust chamber is formed in the upper portion of the dust removal tank, a dust removal cloth bag is vertically and fixedly installed on the top face of an inner cavity of the dust removal tank, a cleaning mechanism is arranged in an inner cavity of the dust removal cloth bag, and a high-pressure pump is fixedly installed on the top face of the dust removal tank. Through the cooperative design of the high-pressure pump, the dust collection bag and the cleaning mechanism, the dust collection bag can be gradually dedusted in different areas, the dust cleaning uniformity is good, meanwhile, the effect of cleaning dust attached to the outer surface of the dust collection bag is improved through the vibration effect, and the situation that the back-blowing dust cleaning effect is poor on the side, away from high-pressure air entering, in the dust collection bag is avoided; the side close to the high-pressure air inlet side is good in back-blowing dust cleaning effect, the uniformity of cleaning dust attached to the outer surface of the dust removal cloth bag is reduced, and the cleaning effect is reduced.

The invention belongs to the technical field of welding, and discloses an L-shaped laser-MIG hybrid welding device for a narrow space, and the L-shaped laser-MIG hybrid welding device for the narrow space comprises a welding gun assembly, a laser welding head assembly and a space adjusting assembly. The laser and the electric arc are combined, a laser and electric arc composite heat source is obtained, and the advantages of laser and electric arc composite welding are fully exerted; laser-MIG hybrid welding has the advantages of being high in welding speed, low in heat input, large in equipment clearance tolerance degree and high in welding quality. A welding gun wire feeding route is optimized, the precision of a wire guide assembly is improved, the straightness of a welding wire is guaranteed by combining a three-wheel straightener, and the purpose of stable wire feeding is achieved. The overall connecting piece structure is simplified, the reflecting copper mirror integrating reflection, collimation and focusing is designed, the overall size space is saved, the overall load is reduced, and more functions can be added compared with equipment of the same type under the condition that the load is limited.

The invention discloses an irregular roadway colored point cloud hole filling method, and belongs to the field of underground mine three-dimensional modeling and point cloud data processing. According to the method, firstly, dense slicing is performed on roadway point clouds, slices are projected to a two-dimensional plane for polar coordinate sorting, disordered point clouds are ordered, then the slices are used as data points, a control point solution matrix is solved by adopting a chasing method, initial control points are rapidly acquired, the control points are optimized by utilizing a progressive iterative approximation algorithm (PIA), and the point clouds are optimized by utilizing the PIA. According to the method, a fitting curve is obtained, the error between the fitting curve and an original point cloud is effectively reduced, non-uniform cubic B-spline adaptive fitting interpolation is carried out according to the point spacing to realize uniform filling of holes, finally, K-nearest neighbor search is carried out on interpolation points, the RGB mean value of neighborhood points is calculated and assigned to the interpolation points, and color repair of hole areas is realized. The method has a good repairing effect on various types of holes of the irregular roadway of the mine, uniform color assignment can be carried out on point clouds at the same time, and the modeling quality and efficiency are effectively improved.

The invention discloses a rotor structure and an inner cylinder structure of a sand mill. A plurality of grinding blocks and first bulges are arranged on the outer wall surface of the rotor structure; the grinding blocks and the first protrusions are arranged on the outer wall face of the rotor structure in a crossed mode in the circumferential direction and the axial direction of the rotor structure. Each grinding block is provided with four side faces and a top face, the first side face faces the first end of the grinding cavity, the second side face faces the second end of the grinding cavity, and the third side face is a slope face and obliquely faces the grinding block axially adjacent to the grinding block. In the grinding blocks distributed on the outer wall face of the rotor structure in the axial direction, the normal directions of the third side faces of at least one pair of adjacent grinding blocks intersect, and the intersection point is located between the pair of adjacent grinding blocks; a plurality of oval third protrusions are arranged on the inner wall face of the inner cylinder structure. According to the sand mill, the collision frequency between grinding media and between the grinding media and the wall face of the inner cylinder can be increased, the uniformity degree of materials in the grinding cavity is improved, and the grinding and smashing efficiency of the sand mill is improved.

The invention discloses a water turbine wear fault diagnosis method based on a deep learning model, and belongs to the technical field of water turbine fault signal processing. Comprising the following steps: acquiring a water turbine wear fault sound signal; a Tent chaotic mapping function is adopted to optimize an initial population of a white shark optimization algorithm WSO; introducing a long and short term memory (LSTM) network model to solve the limitation of a convolutional neural network (CNN) in processing a long sequence problem, and constructing a CNN-LSTM water turbine wear fault diagnosis model; an improved white shark optimization algorithm IWSO is introduced into the CNN-LSTM model, and hyper-parameters of the model are optimized, so that the diagnosis precision is improved, and the calculation amount is reduced; and importing the collected fault signal as an input into the model for training and testing to obtain a final diagnosis result. Diagnosis and identification of the water turbine wear fault signal are completed through the steps, the deep learning model has good robust performance, the diagnosis precision of the water turbine wear fault can be improved, and the deep learning model serves as a beneficial supplement of an existing water turbine state monitoring and fault diagnosis system.