121results about How to "Improve performance quality" patented technology

The invention discloses a thermal deformation prediction and optimization method and system in metal plastic composite product processing, and the method comprises the steps: building a composite product geometric model according to the material characteristics and preset boundary conditions of a composite product; according to the geometric model of the composite product, a finite element analysis method is used, a preset time step length and a nonlinear solver are selected for coupling solving of a thermal field and a mechanical field; the change data of the temperature field and the stress field along with time and thermomechanical circulation are analyzed through simulation, accumulated deformation and interface stress data of the material in circulation of the preset number of times are monitored, and a simulation prediction result is generated; and according to the simulation prediction result, the heating and cooling rate and the mold loading path are optimized. The thermal deformation prediction and optimization method in metal plastic composite product processing can be used for solving based on multi-physics field coupling in combination with a nonlinear finite element.

The invention relates to the technical field of microcosmic damage mechanism recognition of refractory materials, and discloses a refractory material damage mode recognition method based on an acoustic emission technology, which comprises the following steps of: acquiring acoustic emission signals of a refractory material under the action of static load through a three-point bending experiment, determining the number and characteristic parameters of data set categories of the acoustic emission signals, and determining the number of the data set categories of the acoustic emission signals; and performing clustering analysis on the acoustic emission signals by adopting a K-means clustering algorithm, dividing the acoustic emission signals into three classes, analyzing by combining an acoustic emission parameter association diagram, determining acoustic emission characteristics corresponding to different damage mechanisms, and determining a damage mode corresponding to each class of signals. According to the method for identifying the damage mode of the refractory material based on the acoustic emission technology, a method combining clustering analysis and acoustic emission parameter association diagram analysis is adopted, accurate judgment on the microscopic damage process of the refractory material can be effectively achieved, and theoretical support is provided for further research on mechanical behaviors and the microscopic damage mechanism of the refractory material.

The invention relates to the technical field of piano playing, and provides a digital piano playing auxiliary system optimized by using a machine learning algorithm, the system can configure a piano music score of a to-be-played music of a player in a digital piano in advance, and determine demonstration playing information and accompaniment information for each pronunciation of the piano music score; carrying out accompaniment coupling on each pronunciation time of the accompaniment information and the pronunciation time of the demonstration playing information, and constructing an accompaniment coupling configuration model; performing playing coupling on the demonstration playing information and the pronunciation controllable parameters of the digital piano, and constructing a playing pronunciation coupling configuration model; setting playing auxiliary constraint conditions of the digital piano, determining playing auxiliary optimization data based on the accompaniment coupling configuration model and the playing pronunciation coupling configuration model, taking the playing auxiliary optimization data as sample parameters of a preset machine learning model for training, and generating a target machine learning model; the purpose of the present invention is to optimize playing music when a player performs playing.

The invention provides a manufacturing method of a high-integration half-hole step circuit board and the half-hole step circuit board, belongs to the technical field of circuit board manufacturing, and solves the problems that the half-hole step circuit board is low in production efficiency and poor in product performance and quality. The method comprises the following steps: providing a first substrate and a second substrate; performing first pretreatment on the first substrate to obtain a to-be-laminated first substrate; performing second pretreatment on the second substrate to obtain a to-be-pressed second substrate; performing press-fit copper deposition treatment on the first substrate to be pressed and the second substrate to be pressed to obtain a substrate after press-fit copper deposition; carrying out electroplating and etching treatment on the substrate subjected to press-fit copper deposition to obtain a substrate subjected to electroplating and etching treatment; and carrying out forming treatment on the substrate after electroplating etching treatment to obtain the high-integration half-hole step circuit board. According to the scheme, the circuit board is firstly manufactured in a layered mode, then pressing and forming treatment are carried out, efficient production and manufacturing of the half-hole step circuit board are achieved, and the product performance quality is improved.

The invention belongs to the technical field of wireless communication, and discloses an Internet of Vehicles (IoT) optimization method based on a block chain, digital twins (DT) and edge computing (MEC), a binary task unloading decision is jointly optimized, an improved practical Byzantine fault tolerance (EPBFT) consensus algorithm is also disclosed in a block chain system to enhance a consensus program, and the Byzantine fault tolerance (EPBFT) consensus algorithm is applied to the block chain system, so that the Byzantine fault tolerance (EPBFT) and the Byzantine fault tolerance (EPBFT) of the Byzantine fault tolerance (EPBFT) of the Byzantine fault tolerance (EPBFT) of the Byzantine fault tolerance (EPBFT) of the Byzantine fault tolerance (EPBFT) is improved. And then consensus main nodes are selected, so that consensus delay and failure rate are reduced to the greatest extent. The system is subjected to joint optimization under the influence of factors such as edge node computing power, EPBFT node number limitation, task processing and block chain consensus delay. According to the invention, a base station (BSS) not only serves as an edge node in an MEC system, but also serves as a consensus node of a block consensus in a block chain system. The method comprises the following steps of: converting a task into a Markov decision process due to the uncertainty of the task and the dynamic nature of the network, and dynamically learning an optimal joint solution by using near-end policy optimization (PPO).

The invention provides a space cable plane suspension bridge empty cable shape monitoring system comprising a plurality of data acquisition devices used for acquiring target data in a space cable plane suspension bridge empty cable state; the first empty cable state determination device is used for determining a first empty cable state according to the target data acquired by the plurality of data acquisition devices; the second empty cable state simulation equipment is used for simulating and determining a second empty cable state of the space cable plane suspension bridge meeting the construction standard; and the key point monitoring equipment is used for monitoring each key point of the first empty cable state by referring to the second empty cable state, and outputting a key point adjustment strategy. According to the system, the change difference problem of the space cable plane suspension bridge in different stages is considered, the second empty cable state is simulated, the first empty cable state and the second empty cable state are compared, the key point is determined, and the adjustment strategy is output, so that the construction accuracy and safety are improved, the construction control process is optimized, and the construction efficiency is improved. And finally, the overall performance and the construction quality of the bridge are improved.

The invention provides a task scheduling method and related equipment, and relates to the technical field of computer cloud processing. The method comprises the following steps: firstly obtaining the resource quantity of edge nodes and Z tasks to be scheduled, then determining a distribution relationship according to the resource quantity of the edge nodes, calculating based on a genetic algorithm to obtain a primary population, performing population iteration on the primary population based on a target fitness function and the distribution relationship to obtain a target code, and scheduling the Z tasks according to the target codes and the resource quantity of the edge nodes. The allocation relation is determined through the resource quantity of the edge nodes and the demand quantity of the tasks, iterative training is performed on the weights corresponding to the tasks based on the genetic algorithm, the allocation relation and the target fitness function to obtain the target codes, and the Z tasks are scheduled according to the target codes and the resource quantity of the edge nodes, so that the scheduling efficiency is improved. Therefore, the resource utilization rate is improved, the network load is reduced, and the overall performance and the service quality of the AI large model reasoning service can be improved.

The invention is suitable for the technical field of image processing, and provides a remote sensing image processing method and system based on federated learning, and related equipment, and the method comprises the steps: obtaining remote sensing image data by each participant, and carrying out the preprocessing of the data; each participant performs local model training based on the preprocessed data, extracts initial parameters based on a trained model, encrypts the initial parameters, and sends the encrypted initial parameters to an aggregation end; the aggregation end decrypts the received ciphertext to obtain an initial parameter, determines an optimal correction scheme by using a multi-objective optimization algorithm, and corrects the remote sensing image data of each participant according to the optimal correction scheme; extracting a target feature vector set according to the corrected remote sensing image data, and aggregating the target feature vector set through a Bayesian model to generate a target parameter; and the target parameters are distributed to the participants, so that the participants update the local model and execute multiple iterative operations, and the image processing efficiency and accuracy are effectively improved.

The invention discloses precursor washing equipment and a carbon fiber precursor production line. The precursor washing equipment comprises a circulating water tank; the tow guide roller group is arranged above the circulating water tank and is used for pulling tows; the water inlet end of the circulating spraying water path is communicated with the circulating water tank, the water outlet end of the circulating spraying water path at least forms a spraying branch and a water outlet branch, a water outlet of the spraying branch faces the interior of the circulating water tank, is arranged above the tows and is used for spraying water to the tows, and a water outlet of the water outlet branch faces the running direction of the tows and is arranged below the tows in the circulating water tank. The water outlet is used for discharging water in the tow running direction. The showering branch applies water flow to the tows from top to bottom, it is ensured that the water flow can completely cover the surfaces of the tows in the washing process, and the washing efficiency and the cleaning effect are improved; the water outlets of the water outlet branches face the moving direction of the tows, so that water flow in the circulating water tank flows in the moving direction of the tows, the water flow is prevented from being disturbed back and forth, and mechanical impact and damage of the water flow to the tows are reduced.

The invention provides a microgravity metal fuse wire additive melt directional transfer and liquid bridge transition maintaining device and method. A forming substrate is installed on a multi-axis motion platform; the multi-axis motion platform customizes a three-dimensional motion track path according to three-dimensional data in additive manufacturing; the two current clamps are respectively fixed between the metal wire and the forming substrate, a current path is formed between the metal wire and the forming substrate through a direct-current power supply, and an ampere meter is connected in series in the current path; the electromagnetic coil is arranged in the circumferential direction of the metal wire, and the magnetic conductive bars are connected with the electromagnetic coil and distributed at the symmetrical positions of the two sides of the end of the metal wire. The AC power supply provides an alternating electric field for the electromagnetic coil; the wire feeding mechanism and the driving motor feed the metal wire to the action range of the light spot emitted by the laser source quantitatively at a constant speed; the laser acts on the forming substrate, and a liquid molten pool is formed on the forming substrate; the metal wire and the forming substrate form a liquid bridge connection mode through the liquid melt. The air hole defect of the component can be reduced.

The invention relates to an automatic spot welding method and system for a motor rotor of an electric tool and an intelligent terminal, and relates to the technical field of welding, and the automatic spot welding method comprises the steps that a weight detection value and image detection information detected by an operation table of a spot welding machine are obtained; analyzing and determining weight specification information according to the weight detection value; a specification gap reference position point is called based on the weight specification information; analyzing and determining a gap detection position point according to the image detection information and the weight specification information; analyzing a deviation distance between the specification gap reference position point and the gap detection position point and taking the deviation distance as a gap position deviation distance value; and according to the corresponding relation between the gap position deviation distance value and preset rotation angle adjustment information, rotation angle adjustment information corresponding to the gap position deviation distance value is determined, and the rotation angle adjustment information is output to an operation table of the spot welding machine so that angle adjustment can be conducted on the motor rotor. The motor rotor has the effect of improving the overall performance quality of the motor rotor.

The invention discloses an edge-end cooperative task division and resource allocation method based on model segmentation, relates to the field of edge computing video analysis, and integrates CNN channel pruning, bilinear sampling and affine quantization multi-dimensional compression of intermediate transmission feature data; a parameter-shared dynamic neural network is trained based on a sandwich rule and a knowledge distillation technology, and real-time switching of characteristic data compression amplitude is realized; modeling user reasoning performance indexes in edge-end cooperative task division, and constructing an optimization problem of maximizing reasoning accuracy meeting user performance demand constraints and edge resource constraints; a solution algorithm based on dynamic programming is adopted, optimal configuration such as model break points and intermediate feature compression parameters is selected for users, and edge communication resources and computing resources are efficiently allocated, so that the reasoning accuracy under the multi-user condition is improved.

The invention relates to the technical field of novel pesticide application, in particular to an application method and device of a sustained and controlled release pesticide. Analyzing the inhibition degree of the pest species reproduction activity scale on the plant species growth rate through the application area chart, and estimating and analyzing the application dosage based on the inhibition degree to obtain the target application dosage of the sustained and controlled release pesticide required by each application area in the application area chart; constructing a current trajectory decision-making tree, predicting and fitting a propagation activity prediction area of insect pest species in the multi-dimensional space field by using the current trajectory decision-making tree, and screening application point locations of the propagation activity prediction area according to a sustained and controlled release action range of a sustained and controlled release pesticide preset monomer dosage to obtain accurate application point locations; and formulating a reasonable application time point of the sustained and controlled release pesticide through a hot spot distribution density-time frame kurtosis trend model. According to the invention, the application of the sustained and controlled release pesticide can be precisely and reasonably planned and optimized, so that the pesticide effect quality of the sustained and controlled release pesticide on insect pests is improved, and the sustained and controlled release application error is reduced.

The invention discloses a straw powder filled biodegradable composite material and a preparation method thereof, and relates to the technical field of biodegradable composite materials, the preparation method of the biodegradable composite material comprises the following steps: S1, pretreating straw; s2, impurities are removed through winnowing; s3, removing magnetic impurities; s4, cleaning and drying; s5, performing high-pressure steam treatment; s6, drying in the oven and crushing again; s7, adding into a high-speed mixer and mixing; s8, extruding the biodegradable composite material, and cooling and shaping the biodegradable composite material; and S9, cutting and polishing are conducted, and performance testing is conducted. The biodegradable composite material is prepared from agricultural waste, waste accumulation is reduced, sustainable development is promoted, the straw powder filled biodegradable composite material has biodegradability, high strength and good processability, and the straw powder filled biodegradable composite material is suitable for large-scale production. The problems of reducing agricultural wastes, enhancing mechanical properties and environmental protection performance, improving processability and reducing raw material cost can be solved.

The invention discloses a hierarchical control network architecture based on an industrial software defined network (SDN), provides a dual-time scale network slicing method and a multi-domain resource collaborative management and control scheme, and shows a remarkable industrial application prospect. The hierarchical control architecture allows flexible configuration of the SDN controller according to a specific industrial environment, and realizes multi-level resource management and control. And the SDN controllers of different levels can be dynamically adjusted according to actual requirements to adapt to complex and changeable industrial scenes. According to the dual-time-scale network slicing method, resource reservation and arrangement are decoupled, and the resource scheduling efficiency is improved. By monitoring the network state in real time, the resource configuration is optimized, and the heterogeneous QoS requirement is ensured to be met, so that the utilization rate of resources is remarkably improved.

The invention discloses a multi-mode large model automatic error correction method and system. The method comprises the steps that information to be input is converted into feature vectors, after the feature vectors are spliced into placeholder feature vectors, the feature vectors are input into a multi-mode large model, and the multi-mode large model is configured to output corresponding reply vectors and placeholder vectors according to the input vectors; further decoding the placeholder vector, and if the result is correct, directly outputting a reply text corresponding to the reply vector; and if the result is wrong, replacing the placeholder feature vector with the placeholder vector, and inputting the placeholder vector into the multi-mode large model again until the decoding result is correct or reaches the preset error correction frequency. According to the automatic error correction method provided by the invention, multiple modal capabilities can be dynamically called and are matched with one another to carry out error correction, so that the overall performance and the output quality of the multi-modal large model are effectively improved.

The invention discloses a meteorological radar data quality control method, a meteorological radar data quality control system and meteorological radar data quality control equipment based on fuzzy logic. The meteorological radar data quality control method comprises the following steps: constructing a radar reflectivity intensity product under a three-dimensional Cartesian coordinate system; performing OpenGL rendering by taking the three-dimensional reflectivity intensity product as texture data; acquiring elevation data of an effective scanning range of the radar, and performing three-dimensional terrain rendering by taking an elevation value as texture data for rendering the three-dimensional terrain; providing a constant-height plane position indicator diagram product and a combined reflectivity product to judge the echo type, and providing any vertical section product to check whether the echo type is judged accurately or not; after the echo type is determined, providing an interactive selection target echo region, counting radar parameter characteristics of the target echo region, and performing visualization; and identifying the membership function of the ground clutter by localized fuzzy logic, and completing the quality control of the radar reflectivity intensity data. According to the method, the quality of radar reflectivity intensity data can be improved, and errors of rainfall inversion results are reduced.

The invention discloses an anti-inference attack differential privacy protection method for a task unloading strategy in an edge computing environment, and belongs to the field of edge computing and privacy protection. The method comprises the following steps: constructing an unloading decision model framework based on a Markov decision process (MDP) in a mobile edge computing scene, a system model, a transmission model, a calculation model and a user task model; constructing a privacy model for the inference attack, speculating an unloading strategy of equipment through a system state, and evaluating privacy loss; on the basis, calculating stage smooth sensitivity, and disturbing an unloading strategy by adopting a differential privacy method of an exponential mechanism in combination with privacy loss; and dynamically adjusting the noise intensity according to the privacy loss and smooth sensitivity of the whole iteration period until the model converges. According to the method, the risk of leakage of the task unloading strategy is reduced, the method is suitable for the task unloading strategy of deep reinforcement learning, and the safety of the task unloading strategy in the edge computing environment can be effectively protected.

The utility model discloses a virtual reality system, which comprises a first optical system and a second optical system, and the first optical system sequentially comprises a first element group, a second element group, a third element group and a fourth wave plate from a first side to a second side along a first optical axis, and the first element group comprises a first lens with focal power, a reflective polarization element and a quarter wave plate; the second element group comprises a second lens with positive focal power; the third element group comprises a third lens with focal power; and a display; the second optical system sequentially comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens from the object side to the image side along a second optical axis, the third lens has negative focal power, and the second lens and the sixth lens have positive focal power.

The invention provides a manufacturing method of a high-precision step circuit board and the high-precision step circuit board, belongs to the technical field of circuit board manufacturing, and solves the problems of low production efficiency and poor product performance and quality of the high-precision step circuit board. The method comprises the following steps: providing a first substrate and a second substrate; performing first pretreatment on the first substrate to obtain a first substrate to be laminated, the first substrate having a milling groove position; performing second pretreatment on the second substrate to obtain a to-be-pressed second substrate; pressing the first substrate to be pressed and the second substrate to be pressed to obtain a pressed substrate with steps; performing third pretreatment on the laminated substrate with the step to obtain a substrate after the third pretreatment; and carrying out forming treatment on the substrate after the third pretreatment to obtain the high-precision step circuit board. According to the scheme, the circuit board is firstly manufactured in a layered mode, then pressing and forming treatment are conducted, efficient production and manufacturing of the high-precision step circuit board are achieved, and the product performance quality is improved.

The invention relates to the field of optical elements, and in particular to an optical filter coated with an ultra-low anti-reflection film and a process thereof, which are used to solve the problem that the anti-reflection film on the existing optical filter coated with the ultra-low anti-reflection film has an unsatisfactory anti-reflection effect and is prone to dust accumulation, thereby causing an adverse effect on the light transmittance of the optical filter; in the process, silica sol, aluminum sol, and carboxylated carbon nanotubes are used as main raw materials, so that the three are reasonably compounded, and modified with a uniform dispersant, and finally an ultra-low anti-reflection impregnation liquid is used to form an ultra-low anti-reflection film on the surface of the optical filter; through the optical filter coated with the ultra-low anti-reflection film and the process thereof of the invention, the ultra-low reflection effect of the filter surface can be achieved, and the light transmittance and imaging quality of the filter are effectively improved. At the same time, the process of the invention is simple, the cost is low, and it has a wide application prospect.

The present invention provides a space cable suspension bridge empty cable linear monitoring system, including: a plurality of data acquisition devices, used to collect target data in the space cable suspension bridge empty cable state; a first empty cable state determination device, used to determine the first empty cable state according to the target data collected by the plurality of data acquisition devices; a second empty cable state simulation device, used to simulate and determine the second empty cable state of the space cable suspension bridge that meets the construction standards; a key point monitoring device, used to monitor the key points of the first empty cable state with reference to the second empty cable state, and output the key point adjustment strategy. This system takes into account the difference in changes of the space cable suspension bridge at different stages, and by simulating the second empty cable state, comparing the first empty cable state with the second empty cable state, determining the key points, and outputting the adjustment strategy, the accuracy and safety of the construction are improved, the construction control process is optimized, and the overall performance and construction quality of the bridge are finally improved.

The invention relates to the technical field of communication, and particularly provides a multi-base-station cooperative sensing networking planning method and device, a medium and a product. The multi-base-station cooperative sensing networking planning method comprises the following steps: constructing a multi-base-station sensing model in a multi-base-station cooperative sensing scene; the multi-base-station sensing model is used for describing the whole process that the signal is transmitted from each base station, reflected by the unmanned aerial vehicle and received by the base station; based on a multi-base-station sensing model, determining a mapping relation between the station spacing and the sensing performance index; and solving the perception performance boundary based on the mapping relation, and determining the target station spacing based on the perception performance boundary. According to the method, the problem of mutual interference between the base stations is solved through model construction, performance analysis and station spacing optimization, and the mutual interference between the base stations can be minimized while network coverage and performance are ensured, so that the sensing performance and communication quality of the whole network are improved.

The utility model discloses a tripod holder which comprises a middle shaft and a holder body fixedly connected with the middle shaft, the holder body comprises a pipe joint and an angle adjusting unit, and the angle adjusting unit is rotatably connected to the pipe joint through a locking unit. The locking unit comprises a locking rotary knob, a first locking piece, a second locking piece and a fastening piece matched with the end of the locking rotary knob, the first locking piece and the second locking piece are both clamped and fixed to the pipe joint, and the locking rotary knob is connected with the first locking piece and the second locking piece in a penetrating mode. The first locking piece and the second locking piece extrude, lock and fix the angle adjusting unit towards the direction of the angle adjusting unit through the matching of the locking knob and the fastening piece; a pitching fixing disc is arranged on the angle adjusting unit, and a pitching fixing piece matched with the pitching fixing disc is arranged on the pipe connector. According to the utility model, the structure design is reasonable, through the locking effect of the locking unit on the angle adjusting unit and the cooperation of the pitching fixing disc and the pitching fixing piece, in the process that the camera is fixed on the holder to rotate, the problems that the camera falls or a lens shakes and the like due to improper fixation are avoided, and the stability of the holder is improved.

The present invention discloses a pier column structure using segmented prefabricated shells and a construction method thereof, including a plurality of pier column segments, which are arranged along the height direction of the pier, two adjacent pier column segments are connected by vertical wet joints, and any pier column segment includes a plurality of prefabricated shells, which are arranged along the circumference of the pier and form a cylindrical structure that passes through from top to bottom, and the plurality of prefabricated shells are connected in pairs by circumferential wet joints; core-filled concrete is filled in the interior of the cavity formed by the plurality of prefabricated shells. The present invention combines the prefabrication process with the cast-in-place process to form a new type of construction method of partial prefabrication and partial cast-in-place. Under the condition of ensuring the connection stability of the pier column segments, the prefabricated shell of a single pier column segment is prefabricated in circumferential blocks, which effectively reduces the lifting weight of the prefabricated shell, and is convenient for prefabrication, transportation and hoisting; the vertical and circumferential wet joints of the upper pier column segment and the core-filled concrete of the lower pier column segment are cast at the same time, achieving synchronous equal strength, which can effectively improve the construction efficiency of the pier.

The invention discloses a tin-zinc-copper powder ultrafine powder batch preparation process, and relates to the technical field of metal powder preparation, and the tin-zinc-copper powder ultrafine powder batch preparation process comprises the following steps: dissolving tin salt, zinc salt and copper salt in deionized water, adding a complexing agent, and uniformly mixing to obtain a mixed metal salt aqueous solution; dissolving a rosin-based polyamine hyperbranched dispersant in an organic solvent to serve as an oil phase; slowly adding a mixed metal salt aqueous solution into the oil phase, and uniformly dispersing to obtain a water-in-oil microemulsion system; dropwise adding a reducing agent solution, and continuously carrying out heat preservation reaction for 0.5-3 hours after dropwise adding is finished, so as to obtain slurry containing alloy particles; and carrying out demulsification treatment, centrifugal separation, repeated washing and drying to obtain the surface-modified tin-zinc-copper superfine powder. Superfining of particles is achieved through confinement growth, synchronous co-deposition of multi-component elements is guaranteed, a homogeneous alloy phase is formed, component segregation is avoided, and a protective layer formed on the surface of the powder in situ endows the material with excellent oxidation resistance and good weld-aid wettability.

The utility model discloses a quenching coupling ultrasonic vibration double magnetic field auxiliary electric arc material adding device which comprises a control system, a mechanical arm and a material adding unit fixed at the tail end of the mechanical arm, the material adding unit comprises a base plate and a welding gun, and the material adding unit further comprises a liquid nitrogen spray gun, a longitudinal magnetic field device, a temperature sensor, a transverse magnetic field device and an ultrasonic vibration instrument. The liquid nitrogen spray gun is arranged above the substrate; the transverse magnetic field device is arranged on the side edge of the welding gun and used for controlling the electric arc through a generated magnetic field so as to adjust gas flow and the molten pool form in the material adding process. The longitudinal magnetic field device is arranged around the welding gun and used for controlling molten pool flowing and component homogenization through a generated magnetic field so as to improve the additive forming quality and performance; and the ultrasonic vibration meter is arranged below the substrate. According to the utility model, the mixing and uniformity of components in the molten pool can be promoted, the segregation defect is avoided, and further refining of crystal grains is realized, so that the additive forming quality and performance are improved.

The utility model relates to the technical field of Fe-Si-Al soft magnetic powder surface coating, and discloses a surface coating device for Fe-Si-Al soft magnetic powder production, which comprises a coating machine box body, the top of the coating machine box body is provided with a material inlet, the bottom of the coating machine box body is provided with a material outlet, the coating machine box body is internally provided with a stirring assembly, and the stirring assembly is provided with a material outlet. A screening assembly is arranged at the bottom of the coating machine box body, a first supporting frame is fixedly connected to the outer wall of the coating machine box body, the stirring assembly comprises a first rotating column and a plurality of stirring rods, and the two ends of the first rotating column are rotationally connected to the interior of the coating machine box body. According to the soft magnetic powder coating machine, when soft magnetic powder in the coating machine box body is coated, the motor is started to drive the first rotating column, then the first rotating column drives the stirring rod, the stirring rod drives the scraping plate, and then the scraping plate drives the bent plate blade to coat the soft magnetic powder; the problem that the insulation value of a product is affected by uneven mixing and different thicknesses of the coating layer is effectively solved, and the production efficiency is improved.

The invention relates to a rapid and automatic calibration test method for an ad hoc network terminal, belongs to the technical field of wireless communication calibration test, and solves the problems that in the prior art, expandability is poor, calibration accuracy is insufficient, and self-defined waveforms are not supported. The method comprises the following steps: configuring a spectrometer and a vector signal source according to test script content; controlling an ad hoc network terminal to transmit a test signal, receiving and reading the test signal by a frequency spectrograph to obtain read data, and judging whether the read data meets a preset condition or not; if not, adjusting the power operation code word of the ad hoc network terminal, and re-transmitting and judging whether the read data of the frequency spectrograph meet the preset condition or not until the read data meet the preset condition; if yes, the ad hoc network terminal can reach the maximum transmitting power, and sensitivity testing is carried out on the ad hoc network terminal; if the sensitivity test is not passed, marking abnormity, and ending the test; and if the sensitivity test is passed, configuring a corresponding calibration script to calibrate the ad hoc network terminal.

The invention discloses a preparation method of a conjoined three-way drill rod joint, belongs to the field of mechanical manufacturing, and aims to solve the problems of hidden danger of stress concentration, insufficient torsional property, poor sealing performance and the like of the existing welded joint and realize integral forming of the joint through an integral weldless structure. The preparation method comprises the steps of forging stock hot forging forming, tempering treatment, transverse edge rough turning, axial inner hole drilling, transverse edge outer circle finish turning, bypass connector milling, thread finish turning and thermal refining. The drill rod joint prepared through the method has a uniform and compact metal structure, a continuously fiberized metal structure is formed in the drill rod joint, the defect risk caused by welding seams is eliminated, and the torsion resistance and the fatigue resistance are remarkably improved; the structure is weldless, and the sealing performance is better; threaded connection precision is high, and safety and reliability of the connector and equipment are ensured. The preparation method is simple and efficient, the production cost is remarkably reduced, meanwhile, the method adapts to complex working conditions such as deep wells and ultra-deep wells, the service life of products is greatly prolonged, and the safety of the products is greatly improved.