8298results about How to "Quality improvement" patented technology

A pattern which does not appear at a flat portion in normal binarization processing is set as a code pattern, and a code formed from this pattern is attached. At this time, code attachment with little degradation in image quality is implemented by selecting an unnoticeable pattern.

The invention discloses a method for preparing a single-layer tungsten diselenide nanoband based on a space confinement strategy. By changing the flow and the growth time of hydrogen, effective control on the width and the thickness of a nanoband can be realized. The method comprises the following steps: uniformly spraying tungsten trioxide powder to one substrate, then covering the substrate by the other substrate, and forming micro reaction space which is of a 'sandwich'-like structure. Growth of a tungsten diselenide nanoband is carried out by utilizing a constant-pressure chemical vapor deposition method; physicochemical characteristics of a one-dimensional transition metal chalcogenide strongly depend on suspension key types on the edge of the one-dimensional transition metal chalcogenide, metallic properties are displayed by an ultranarrow band, and conversion from the metallic properties to semiconductor properties can be displayed from the edge to the center of a wider band; the tungsten diselenide nanoband is widely applied to micro-nano photoelectric devices due to the special property; industrial production of the tungsten diselenide nanoband can be realized through an experimental method of the invention.

The invention discloses an intelligent storage multi-AGV scheduling method and device and a medium, and relates to the technical field of automatic scheduling, and the method comprises the steps: collecting the state and environment perception data of AGVs, and carrying out the standardization processing; constructing a dynamic conflict scheduling model, inputting the standardized AGV state and environment perception data into the dynamic conflict scheduling model for task allocation and path planning, and outputting a preliminary task allocation and path planning scheme; and integrating task execution feedback data with historical task data, optimizing parameters of the dynamic conflict scheduling model, and outputting an optimized task allocation and path planning scheme. According to the method, the task execution feedback data and the historical task data are integrated, and parameter optimization is performed on the dynamic conflict scheduling model based on the scheduling knowledge graph and the meta-gradient descent strategy, so that continuous self-evolution and precision improvement of the scheduling strategy are realized.

The invention relates to the technical field of deep foundation pit monitoring, and discloses a deep foundation pit micro-deformation InSAR remote sensing method and system and a storage medium. The method comprises the following steps: synchronously acquiring data through a ground radar and an InSAR satellite, and obtaining a point target set and an original scattering characteristic sequence; obtaining a net deformation phase sequence without influence through registration residual correction, phase deduction and weighted fusion processing, and carrying out phase consistency quality control and unwrapping processing to obtain an accumulated deformation quantity sequence; constructing a deformation mechanism correlation characteristic matrix based on correlation analysis of the cumulative deformation quantity sequence and radar reflection intensity amplitude attenuation characteristics; and fusing the deformation mechanism correlation feature matrix and the real-time differential interference image group, extracting deformation rate and phase gradient change, and further generating a deep foundation pit local micro-deformation risk early warning index set. According to the invention, the tiny deformation of the surrounding area of the foundation pit can be effectively detected, potential risks are warned in advance, and the safety and monitoring efficiency in the construction process are improved.

The invention discloses an automatic compiling method and device for a test case, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the structural analysis of a demand document for creative and creative transformation, and extracting the demand information of the demand document; the code warehouse is connected to obtain the source code and performs static analysis to generate code logic; establishing a semantic association mapping table of the demand information and the code logic, generating a test scene library according to the semantic association mapping table, and automatically generating a test case according to the parameter type and the constraint rule; and performing multi-dimensional verification on the generated test case to generate a verification result, and adjusting the priority of the test case according to the verification result. The method has the technical effects of improving marginal scene coverage depth and breadth, improving test case writing efficiency and accuracy, reducing manual dependence, and optimizing test case quality and execution pertinence.

The utility model discloses a tantalum tube type heat exchanger which comprises a heat exchange header pipe, detachable installation plates are correspondingly installed at the upper end and the lower end of the heat exchange header pipe, a plurality of first medium pipes are correspondingly arranged between the upper installation plate and the lower installation plate, and first media for heat exchange can flow into the first medium pipes correspondingly. A second medium inlet pipe is correspondingly installed on one side of the upper end of the heat exchange header pipe, a second medium outlet pipe is correspondingly installed on one side of the lower end of the heat exchange header pipe, and a second medium for heat exchange flows in from the second medium inlet pipe, exchanges heat with the first medium pipe in the heat exchange header pipe and then is discharged from the second medium outlet pipe at the lower end. The heat exchange header pipe is arranged in the heat exchange header pipe, the first medium pipe is arranged in the heat exchange header pipe, the second medium inlet pipe and the second medium outlet pipe are installed at the upper end and the lower end respectively, heat exchange of two different media can be effectively conducted, the structure is simple and effective, and mounting and dismounting are convenient.

The invention discloses a medical image segmentation method, system and device based on multi-attention and multi-scale fusion, and relates to the technical field of image segmentation, and the method comprises the steps: constructing an MAMF-Net model which comprises an encoder and a decoder which are in multi-layer jump connection; the encoder adopts a hybrid architecture of convolution and Transform, and is integrated with a self-adaptive expansion convolution method; the decoder integrates dual-channel attention gating and a multi-scale global channel feature enhancement method to enhance features transmitted by jump connection, and combines features extracted by the encoder to fuse and reconstruct a segmentation result; training the MAMF-Net model by adopting the historical medical image sample set to obtain a medical image segmentation model; and obtaining any medical image to be identified and inputting the medical image to the medical image segmentation model, and determining a corresponding segmentation result. The problem of insufficient fusion of global semantics and local details in medical image segmentation is solved.

The invention discloses a short-term wind power prediction method and system based on a dynamic graph neural network, and belongs to the field of wind power prediction. Dividing a power sequence into a high-frequency fluctuation set and a low-frequency stationary set by using VMD-CEEMDAN joint decomposition and SSA clustering optimization; a DGAT module is adopted to fuse geography, data and learnable prior, a local sub-graph is dynamically constructed to extract spatial features, meanwhile, a multi-scale convolution block is utilized to parallelly capture high-frequency mutation and low-frequency trends through an MS-TCN module, multi-scale time features are generated, time feature fusion is guided through space and geography combined representation, and time feature fusion is realized. Collaborative modeling of multi-source heterogeneous data is achieved, finally fusion features are input into a full-connection layer to predict fluctuation set prediction power, the prediction power is combined with stationary set prediction power, and a short-term wind power prediction value is output; according to the method, the modeling capability of wind power plant complex association is remarkably improved, and reliable support is provided for real-time scheduling of a power grid.

The utility model discloses a tunnel punching device, which belongs to the technical field of tunnel machinery and comprises a bearing plate, a drilling machine, a driving mechanism, a driving mechanism and a driving mechanism. The slag receiving cylinder and the water storage tank are both arranged on the bearing plate, and the drill bit movably penetrates through the bottom wall of the slag receiving cylinder; the annular pipe is arranged on the periphery of the slag receiving cylinder, and a plurality of spray heads are communicated with the annular pipe; the conversion cylinder is arranged on the water storage tank, and the conversion cylinder is connected with a linkage mechanism; according to the scheme, most disintegrating slag generated during punching can fall into the slag receiving cylinder, so that the threat of falling objects is reduced, and the safety protection effect is improved; meanwhile, under the cooperation of the linkage mechanism and the driving mechanism, water in the water storage tank is guided into the conversion barrel through the linkage mechanism, then the water is sprayed out through a spray head on an annular pipe, the sprayed water can conduct dust falling treatment on the periphery of the punching position, and the construction environment and the health of workers are better protected; and moreover, the shielding of dust on the sight line can be reduced, and the punching quality and effect are greatly improved.

The invention relates to spline housing cold heading forming equipment, and relates to the technical field of spline housing machining equipment, the spline housing cold heading forming equipment comprises a workbench, a fixed die holder mounted on the workbench and a movable die holder matched with the fixed die holder, and further comprises a demolding mechanism mounted on the workbench and used for demolding a formed spline housing; the demolding mechanism comprises a driving box installed on the workbench, a lifting assembly installed in the driving box and used for driving the fixed mold base to vertically move, a first threaded rod driven by the lifting assembly to rotate, and an oil storage box installed in the driving box. The driving and conveying assembly is driven by the first threaded rod and sprays lubricating oil stored in the oil storage tank to the fixed mold base and the spline housing; and the overturning assembly is mounted in the driving box and is used for driving the fixed mold base to overturn when the fixed mold base vertically moves. The spline housing demolding device has the effect that indentation and deformation cannot be caused to the surface when the spline housing is demolded.

The invention discloses an XR-based immersive three-dimensional modeling and straight-through 3D printing system and method, and the method comprises the steps: S1, collecting user input, and converting the user input into an interaction instruction; s2, generating three-dimensional model data; s3, superposing the three-dimensional model into a real physical environment according to a proportion of 1: 1, and outputting a virtual-real fusion display result; s4, performing printability analysis on the model, marking a problem area, guiding a user to modify and providing an automatic repair suggestion; s5, generating a support structure, and providing visual preview and interactive editing; s6, slicing and path planning are executed, and a printing instruction file meeting the control requirement of the 3D printer is generated; s7, communication connection with the 3D printer is established, and printing state information is fed back; and S8, providing storage and calling support of the three-dimensional model file, parameter configuration and environment map data. According to the invention, seamless integration of immersive XR modeling, MR real-time verification and one-key direct-through 3D printing is realized.

The invention provides a geoscience specimen digital acquisition and management system, and relates to the technical field of geoscience specimen acquisition, and the system comprises a data acquisition module which collects specimen attribute fields, specimen photos and process metadata; the data quality evaluation module is used for performing bidirectional modulation on the basic weight based on the dependency relationship set of the fields to obtain an effective weight, and calculating an integrity score based on the effective weight; calculating an accuracy score, a specification degree score and a timeliness degree score; calculating to obtain a comprehensive quality score; the data optimization suggestion module is used for generating an optimization suggestion according to the score of each dimension and the score of the comprehensive quality; and the data storage management module is used for storing specimen attribute fields, specimen photos, process metadata, quality evaluation results and optimization suggestions. According to the method, the quality problem can be recognized in time, targeted optimization suggestions can be automatically generated, and intelligent priority recommendation is provided for field acquisition based on historical quality statistical data, so that the quality and efficiency of geoscience specimen data acquisition are improved.

The invention relates to the technical field of multi-view clustering analysis, and discloses an incomplete multi-view clustering method and system, a storage medium and equipment. In order to solve the problems that a small amount of easy-to-obtain supervision information is not utilized in an existing method, and the clustering performance is deteriorated due to low view interpolation quality under high missing degree, the invention provides a technical scheme of combining paired constraint weighted interpolation and double-level feature fusion. The method comprises the following steps: firstly, screening similar samples by using pairwise constraint information, and reconstructing a missing view through similarity weighting; then extracting feature mean values and standard deviations of all views based on an encoder, aligning features through view hierarchy self-adaptive comparison learning and reserving private information, and optimizing feature distribution in combination with sample hierarchy semi-supervised loss; and finally, completing clustering through a Gaussian mixture model. According to the method, the pairwise constraint information is effectively utilized, the view recovery quality and the feature complementarity under the high-missing scene are improved, the clustering performance is remarkably improved, and the method is suitable for scenes such as data analysis of multi-view data missing and the like.

The invention relates to the technical field of substation inspection robots, and discloses an autonomous inspection method and system for a substation inspection robot. The method comprises the following steps: acquiring current environment parameters of a transformer substation and real-time state information of an inspection robot, and constructing an inspection environment model; analyzing historical inspection records, classifying historical inspection strategies into a plurality of experience levels, and establishing a multi-layer experience pool; according to a preset target inspection state in the inspection environment model, calculating an intelligent inspection strategy required for achieving the target inspection state; the intelligent inspection strategy and the experience inspection strategy are corrected in real time by adopting a dual-channel coordination mechanism to respond to the dynamic change of the transformer substation environment, and a final inspection strategy is generated; executing a control instruction based on the final inspection strategy, completing an inspection task and recording an actual inspection state; and comparing the deviation reason between the actual inspection state and the target inspection state, adjusting the experience content in the multilayer experience pool according to the deviation reason, and optimizing the experience data.

The utility model discloses an eVTOL aircraft wing skin structure which comprises an upper skin, the lower portion of the upper skin is connected with a lower skin, and the front end and the rear end of the butt joint position of the upper skin, the lower skin and a motor arm appearance area are connected with a front splicing piece and a rear splicing piece respectively. According to the structure, the product quality is good, the appearance is complex, the wing appearance area is in lap joint, the motor arm appearance area is in butt joint forming at the combined part of the wing appearance and the motor arm appearance, the defects that the two areas are sunken and the combined part is prone to generating fiber bridging are avoided, and the product quality is improved.

The invention discloses a combined preprocessing and fusion decoding method based on electroencephalogram signals and functional near-infrared signals, which comprises the following steps of: synchronously acquiring the electroencephalogram signals and the functional near-infrared signals, taking a task trigger event as a unified time reference, and carrying out basic preprocessing of time alignment and modal self-adaption on two modal signals to obtain a functional near-infrared signal; a pre-trained cross-modal noise joint modeling module is utilized to perform joint modeling on cross-modal joint noise features caused by a common noise source, collaborative denoising processing is performed on multi-modal signals based on the cross-modal joint noise features, multi-modal denoising representation is obtained, a cross-modal feature interactive modeling mode based on an attention mechanism is obtained, and the multi-modal noise is obtained. And dynamically modeling the correlation between different modal features, realizing deep fusion of multi-modal complementary information, carrying out decoding processing based on the fused features, and outputting a corresponding brain-computer interface control instruction or task identification result. According to the method, the decoding accuracy and robustness of the brain-computer interface system in a complex task scene are enhanced.

The invention discloses a photovoltaic power station minute-level power prediction method and system fused with a satellite cloud picture, and belongs to the technical field of data processing and prediction, and the method comprises the steps: obtaining a continuous satellite cloud picture sequence of an area where a target photovoltaic power station is located; obtaining cloud cluster individuals and time-space trajectory data, and extracting time-varying multi-dimensional vital sign parameters of the cloud cluster individuals; inputting the multi-dimensional vital sign parameters into a cloud cluster state evolution prediction model to obtain a cloud cluster state evolution trajectory; obtaining a three-dimensional digital model of the target photovoltaic power station, and generating a super-local irradiance distribution diagram sequence of the target photovoltaic power station based on the state evolution trajectory; and power station electrical characteristic parameters of the target photovoltaic power station are acquired, and a power prediction sequence of the target photovoltaic power station is calculated according to the super-local irradiance distribution diagram sequence. By adopting a means of tracking and predicting multi-dimensional vital sign evolution of cloud cluster individuals and combining a power station three-dimensional model to perform light and shadow simulation calculation, the accuracy of power prediction can be improved.

The invention relates to the technical field of thread rolling machining, and discloses penetrating rod thread rolling equipment for an automobile air brake, the penetrating rod thread rolling equipment comprises a plurality of sets of thread rolling mechanisms which are sequentially connected in series, and each thread rolling mechanism comprises a feeding assembly, a thread rolling machining assembly, a discharging assembly, a feeding assembly and a detecting assembly; the detection module is used for detecting materials, the discharging module is used for discharging unqualified materials, and qualified materials can enter a thread rolling station; the thread rolling machining assembly is used for conducting thread rolling machining on the materials at the thread rolling station. The hopper in the subsequent thread rolling mechanism is in butt joint with the discharging assembly in the previous thread rolling mechanism. Three sections of threads are machined at a time by splicing the three thread rolling mechanisms, automatic conveying is achieved between the adjacent thread rolling mechanisms, materials do not need to be manually conveyed in sequence, the production efficiency is remarkably improved, and manual intervention is reduced; before entering the thread rolling process, the penetrating rod is subjected to at least one detection, defective products are eliminated, and the production requirements of high-precision parts are met.

The invention discloses a man-machine collaborative auditing and optimizing method for AI (artificial intelligence) generated content oriented to the field of literature and blog. The man-machine collaborative auditing and optimizing method comprises the following steps: S1, content acquisition and personalized constraint preprocessing: acquiring literature and blog field related content generated by an AI model; if the content is customized by a specific object, inputting an exclusive digital resource library and a style guide of the corresponding object into an AI generation model as constraint conditions; s2, multi-dimensional automatic evaluation: calling a multi-dimensional content evaluation model to carry out automatic analysis on the content, and outputting a quality score vector containing a plurality of evaluation dimension scores; s3, man-machine task dynamic allocation and collaborative auditing: calculating the comprehensive confidence of the content based on the quality score vector, and dynamically allocating the low-confidence content to the matched artificial auditor according to the confidence and the professional portrait of the auditor; and an auditor can trigger traceability verification based on the authoritative literature and blog mapping knowledge domain during auditing. According to the method, the AI generation content in the literature and blog field can be better audited and optimized.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The invention provides an ultra-high-speed electric connector which comprises an insulating body, the insulating body is provided with a lengthwise slot, a plurality of terminal slots are formed in lengthwise side walls on the two sides of the slot respectively, and a fool-proof part is arranged in the slot and used for dividing the insulating body into a power supply and low-speed signal area and a high-speed signal area which are located on the two sides of the fool-proof part; the plurality of terminals comprise differential signal terminals distributed in the high-speed signal area and other terminals distributed in the high-speed signal area and the power supply and low-speed signal area, every two differential signal terminals are adjacent, and two sides of every two adjacent differential signal terminals are respectively provided with a grounding terminal; every two adjacent differential signal terminals and two grounding terminals located on the two sides of the two differential signal terminals form a terminal module, and the two differential signal terminals and the two grounding terminals of each terminal module and an insulating block inserted into the insulating body are formed in an embedded mode. The ultra-high-speed electric connector can enable signal transmission to be better and more stable.

This invention discloses a spot-and-ring laser filler wire welding method, comprising the following steps: cleaning the surface and bevel of the welding plate, and fixing the welding plate on a welding fixture; using a circular spot and an annular spot as a composite heat source for narrow-gap multi-layer filler wire welding of the welding plate; adjusting the defocusing amount, setting the diameter of the circular spot, and setting the diameter of the annular spot; setting the power of the circular spot and the power of the annular spot; setting the welding speed and the wire feeding speed; starting the welding system to perform welding, selecting the number of welding passes until the welding plate completes the butt welding. This invention uses a circular spot and an annular spot as a composite heat source for narrow-gap multi-layer filler wire welding. The circular spot is used to melt the filler wire to perform laser filler wire welding, and the annular spot is used to heat the sidewalls, preventing sidewall melting defects. This can avoid sidewall incomplete fusion defects during narrow-gap welding of thick plates.

The invention provides a power cabinet working condition evolution prediction method based on a physical time sequence orthogonal decoupling architecture, and the method comprises the steps: firstly constructing a multi-dimensional non-stationary signal system based on arc disturbance and load impact characteristics, and collecting the working voltage, temperature rise upper limit, rated and withstand current and other operation parameter data of a power cabinet; in the modal decomposition and screening process, a noise suppression mechanism and a singular information retention technology are utilized, and weakening of non-Gaussian arc interference and retention of working condition abrupt change characteristics are achieved while physically independent orthogonal modal components are separated out. And finally, constructing a double-flow decoupling prediction network based on a deterministic mechanism and data-driven cooperative work. Further, static safety hyperplane constraint is introduced in a parameter updating stage, and a feasible region self-adaptive adjustment mechanism is supplemented, so that the model parameters are subjected to limited optimization on a constraint manifold defined by an electrical safety boundary; by establishing a multi-target topological potential energy function, balance between prediction precision and physical consistency is dynamically coordinated.

The invention provides a composite connection method for thick titanium alloy plates, and belongs to the technical field of metal material welding and additive manufacturing. According to the technical scheme, the method comprises the steps that symmetrical X-shaped grooves are machined in thick plate titanium alloy workpieces to be connected; a laser-electric arc hybrid welding system is adopted for conducting double-face bottoming welding on the X-shaped groove, so that a double-face bottoming welding seam is formed; and a powder feeding type laser cladding system is adopted, and multi-layer and multi-channel additive filling is conducted in the X-shaped groove above the double-face bottoming welding seam. According to the method, efficient laser-electric arc composite bottoming and low-heat-input laser cladding additive filling are separated, high-quality penetration of the root is guaranteed firstly, then welding deformation and residual stress are remarkably reduced through low-heat-input filling, the microstructure of a filling area is optimized, and therefore a welded joint with excellent comprehensive performance is obtained.

The invention relates to the technical field of voice data processing, and provides a voice data processing method, a voice data synthesis method, devices and equipment, and the voice data processing method comprises the steps: obtaining original voice data; performing voice recognition on the original voice data to obtain text data; wherein the text data comprises text content and time information of characters of the text content in the original voice data; determining a plurality of pieces of voice auxiliary information in the original voice data and time information of the voice auxiliary information in the original voice data; and according to the time information of the voice auxiliary information and the time information of the text content, marking the voice auxiliary information at a corresponding position in the text content, and obtaining the text content marked with the voice auxiliary information. According to the method and the device, the voice auxiliary information in the original voice data is recognized, and the voice auxiliary information is marked in the text data after the original voice data is recognized, so that the quality of the text data is improved.

The invention relates to a credit distribution method in multi-agent cooperation, and the method comprises the following steps: obtaining joint data of a multi-agent system, the joint data comprising observation information and execution actions of each agent; the joint data are input into a discriminator model, and the discriminator model carries out modeling on an interaction dependency relationship among multiple agents based on an interaction dependency relationship modeling module of an attention mechanism; generating an auxiliary reward signal corresponding to each agent through a discriminator model; generating a fused reward signal based on the auxiliary reward signal and a global reward signal from the environment; and training and updating the multi-agent strategy model by using the fused reward signal so as to optimize the cooperation strategy of the multi-agent system. By introducing a credit distribution mechanism based on a discriminator model, automatic decomposition and optimization generation of individual reward signals are realized, so that the learning efficiency and stability of a multi-agent system in a complex cooperative task are remarkably improved.

The invention relates to the technical field of motors, in particular to a magnetic self-centering motor assembling method which is applied to a motor and comprises the following steps: forming a rotor assembly; a rotor assembly is rotatably and preliminarily installed on a base through a rotating shaft assembly, an end cover is preliminarily installed on the base, a bearing chamber of the end cover supports an outer ring of a bearing on the rotating shaft assembly through a radial elastic supporting unit, and the radial elastic supporting unit allows the outer ring of the bearing to slightly and radially float; a driving current is applied to the stator assembly, so that the rotor assembly generates a rotation trend or rotates at a low speed, and the rotor assembly is driven to overcome the micro radial rigidity of the radial elastic supporting unit by utilizing the unbalanced magnetic pulling force of interaction between the rotor assembly and the stator assembly; and the rotation axis of the stator assembly is automatically adjusted to a position which tends to be coaxial with the central axis of the stator assembly. The method can actively compensate radial dimension chain errors and assembly deviations accumulated in the previous process.

The invention discloses a global neural drawing method and system oriented to hybrid representation optimization, and belongs to the technical field of computer graphics, and the method comprises the steps: dividing a screen into a plurality of tiles, and obtaining a first workload index on each tile in a first drawing stage and a second workload index on each tile in a second drawing stage; generating a cross-tile and cross-stage unified scheduling queue based on the first workload index and the second workload index, and executing the drawing tasks on different tiles in parallel according to the unified scheduling queue; and triggering a subsequent feature fusion and neural global illumination drawing stage when the inter-stage dependency condition is met so as to generate an output image with a global illumination effect. According to the method, the end-to-end frame rate oriented to the modern AI accelerator / AI-GPU can be remarkably improved and the tail delay can be reduced on the premise of ensuring the visual quality and the time sequence stability, and the method is suitable for application scenes such as real-time global illumination, large-scale complex scene drawing and interactive neural rendering.

The invention discloses a mold design method for a rubber part with a metal insert and a vulcanization molding process method thereof.The mold preparation method comprises the steps that firstly, a three-body type mold is designed according to the rubber part and comprises an upper mold, a middle mold and a lower mold, the middle mold, the upper mold and the lower mold are jointly positioned, and the middle mold and the lower mold are provided with glue overflowing grooves; 2, calculating the size of a mold cavity; step 3, mold preparation; the upper die, the middle die and the lower die are all made of 45 # steel, and the heat treatment hardness is 35-40 HRC; the roughness of the mold cavity part is 0.4, and the roughness of the matched part of the mold is 0.8. The vulcanization molding process method comprises the steps of rubber remilling, vulcanization molding, burr cleaning and inspection. Aiming at a rubber product containing an embedded metal ring, the problems of position control of an embedded part and difficulty in mold design are solved, and the problem of batch production is solved; the optimal product performance is ensured by the optimized vulcanization forming process; the environment-friendly effect is improved, and the waste rate is reduced.

The invention discloses a rapid assembly welding construction method for boiler steam blowpipes. The method comprises the steps that small-pipe-diameter and large-pipe-diameter welding auxiliary structures are manufactured, pipelines are hoisted to the installation position for butt joint, the corresponding welding auxiliary structures are selected according to the pipe diameters so that pipe openings of the pipelines can be aligned and preliminarily welded and positioned, and final butt joint welding is completed after the auxiliary structures are dismantled. An auxiliary mounting and welding structure of the automatic screwing device is further manufactured, and the device enables a screwing driving mechanism to be in butt joint with a connecting bolt, a nut or an adjusting bolt by adjusting the positions of all parts and drives the screwing driving mechanism to rotate. According to the assembly welding device, the technical effects of quickly and accurately completing assembly welding of the boiler steam blowpipes and improving the construction efficiency and quality are achieved.