136results about How to "Promote progress" patented technology

The invention relates to the technical field of medical data processing, in particular to an advanced nasopharynx cancer treatment effect prediction system based on deep learning. According to the invention, a data acquisition module acquires multi-modal medical images and clinical data of a patient from a hospital information system; the data preprocessing module is used for cleaning, registering, normalizing and standardizing the data; the feature extraction module extracts image features by using a convolutional neural network and fuses the image features with clinical features to form a comprehensive feature vector; the model construction and training module constructs a deep learning model, and is adjusted and optimized through training; the treatment prediction module inputs the comprehensive feature vector to obtain a treatment effect prediction result; and the result evaluation and feedback module compares prediction and actual results, calculates indexes and collects and feeds back the improved model. The system comprehensively integrates data, accurately mines features, constructs an effective model, provides personalized prediction to assist clinical decision, continuously improves the model performance, and has important significance in improving the prediction accuracy of the treatment effect of advanced nasopharynx cancer, promoting personalized medical treatment and the like.

The invention discloses a manufacturing industry supply chain optimization method, system and equipment based on a large model, and a medium, belongs to the technical field of large model and supply chain management, and aims to solve the technical problem of how to monitor, predict and optimize a supply chain in real time, improve the efficiency of the supply chain and improve the efficiency of the supply chain. According to the technical scheme, the method comprises the following steps: data acquisition and preprocessing: comprehensively acquiring manufacturing industry supply chain data, and carrying out cleaning, duplicate removal, missing value processing, abnormal value detection and data normalization processing on the acquired manufacturing industry supply chain data to obtain preprocessed manufacturing industry supply chain data; building a large supply chain model: building the large supply chain model by utilizing the preprocessed manufacturing industry supply chain data, and training, optimizing and deploying the supply chain model; real-time monitoring and prediction: monitoring the inventory level and each index of the generation progress in the manufacturing industry supply chain in real time through the trained large model; optimizing the decision; and updating and iterating the model.

The invention belongs to the technical field of anchoring strength detection, and discloses an underground anchor rod anchoring strength prediction method and system based on a support vector machine method. The method comprises the steps of cleaning data, processing missing values and standardizing features; using correlation analysis or other feature selection methods to select features with high correlation with anchoring strength; performing model training by using a support vector machine method SVM, and optimizing hyper-parameters by using grid search; completing the construction of a support vector machine model; and carrying out model evaluation and result visualization. Key parameters in the mixing process are monitored in real time through the sensor network, the system can obtain anchoring strength data in real time, the detection period is greatly shortened, and the construction efficiency is improved. The support vector machine algorithm is adopted to analyze and predict the collected data, personal errors can be eliminated to a greater extent, and the accuracy and reliability of anchoring strength detection are improved.

The invention provides an unmanned ship autonomous navigation method and system based on reinforcement learning, and belongs to the technical field of navigation control based on artificial intelligence. The method comprises the following steps: firstly, creating a real underwater environment and an unmanned ship model for simulation by using Gazebo software; secondly, a multi-reward mechanism fusion function including dense rewards, sparse rewards and reward punishment is designed, so that the operation continuity and efficiency of the unmanned ship in underwater autonomous navigation are improved. And then an unmanned ship autonomous navigation model is constructed, and the unmanned ship autonomous navigation model is optimized in combination with deep Q learning and an attention mechanism, so that the learning efficiency of the model and the robustness in a complex environment are improved. Through multi-stage training and supervised learning strategies, the training time is further shortened, and the intelligent level is improved. And finally, deploying a sonar radar, an inertial navigation system and the optimized model on the unmanned ship to realize real-time autonomous intelligent navigation.

The invention discloses a drying chamber characteristic and heat pump drying system dynamic modeling method based on Modelica. The method comprises the steps that connectors of different physical domains in a heat pump drying system are designed; splitting the system into component model libraries according to different functions, and performing physical modeling respectively; adding a defined connector in the component model, and constructing a drying loop and a heat pump loop according to a system structure; the unstable drying characteristic of the drying chamber in the drying loop is explored, and a safe operation boundary is provided for the heat pump loop; designing parameters of key components of a heat pump loop and designing a PID controller; and carrying out simulation research to obtain dynamic response of the key parameters. According to the method, a physical model library of each component of the heat pump drying system is established, and a dynamic simulation model of the heat pump drying system is established on the basis; and the unstable drying characteristic of the drying chamber is disclosed, heat pump loop parameter design and PID control design are carried out, and the dynamic response performance of the system under closed-loop response is obtained through a step response experiment.

The invention discloses a method for modeling an all-vanadium redox flow battery and improving the coulombic efficiency of the battery, aiming at the composition and principle of VRB, a circuit model comprising electrochemistry, fluid mechanics, temperature, bypass current and vanadium battery multi-stack equivalent loss is established, and the influence of pumping loss and bypass current in an all-vanadium redox flow battery pipeline system on the vanadium battery is explored. By establishing the relation between the pumping loss and the pumping loss current, a bypass current model and a multi-stack series vanadium battery equivalent loss circuit model, all the models are converted into a whole, the kernel mechanism of the vanadium battery considering the dynamic response is elaborated, and the dynamic response of the vanadium battery is analyzed according to key factors involved in modeling research of the VRB, including the pumping loss and the bypass current. And how the factors comprehensively influence the performance and the efficiency of the battery is elaborated, and an idea is provided for pipeline design and improvement of the energy efficiency of the battery for manufacturers.

The cutting device comprises a machining platform, two limiting baffles, a flat pressing assembly, a driven assembly, a cutting assembly and a material pressing assembly, the two limiting baffles are arranged on the top wall of the machining platform respectively, the flat pressing assembly is rotationally arranged on the machining platform, and the driven assembly is arranged on the top wall of the machining platform. The flat pressing assembly comprises a rotating shaft rod, an outer baffle, a movable support and a flat pressing mechanism, the rotating shaft rod is rotationally arranged on the machining platform, the outer baffle is arranged on the rotating shaft rod, the movable support is arranged on the outer baffle, the flat pressing mechanism is movably arranged on the movable support, and the driven assembly is rotationally arranged on the machining platform. The driven assembly comprises a driving shaft and a push rod. Therefore, the joint strip type film is placed on the machining platform to be automatically limited, the joint strip type film is pressed, fixed and limited in the cutting process, wrinkles are effectively taken out and tensioned, the smoothness of the cutting end face is guaranteed, and the quality of a finished film product is improved.

The invention discloses a method and system for verifying a broadband impedance characteristic model of a wind turbine generator, and belongs to the technical field of new energy power generation. The method comprises the steps that a simulation working condition is set, under the set simulation working condition, a to-be-verified wind turbine generator broadband impedance characteristic model is used for model simulation operation, and disturbance is injected in the model simulation operation process; collecting model simulation data in a model simulation operation process, extracting a disturbance component from the model simulation data, and calculating an impedance value based on the disturbance component; and based on the impedance value, verifying the accuracy of the broadband impedance characteristic model of the wind turbine generator to be verified. According to the method, the accuracy of the wind turbine generator model can be effectively verified through model simulation, so that the accuracy of new energy grid-connected stability analysis is improved, and the technical progress and safe and rapid development of the industry are promoted.

The invention relates to the technical field of medicines, and provides a cyclic peptide compound, a pharmaceutical composition and application. The cyclopeptide compound provided by the invention has a structure as shown in a formula I. The cyclopeptide compound has remarkable EphA2 targeting affinity, has remarkable drug development potential on an EphA2 target spot, and has a wide application prospect in diagnosis, prevention and treatment of related diseases with high expression of EphA2. The result of the embodiment shows that the affinity constant KD of the cyclopeptide compound provided by the invention and an EphA2 target is between 1 * 10 <-9 > M and 1 * 10 <-7 > M, the cyclopeptide compound is difficult to dissociate after being combined with the target, and meanwhile, the cyclopeptide compound has very strong competitive capacity for a ligand Ephrin-A1 of the EphA2 target. # imgabs0 #

The invention provides a micro-torque precision reducer performance test system. Comprising a test calculation end, a measurement and control instrument, a driving motor, a load motor, an electric control cabinet, a control cabinet, an automatic locking mechanism, a precise moving mechanism, a torque sensor, a circular grating, a vibration sensor, a displacement measurement system, a control display system, a temperature sensor, a noise sensor and a precise guide rail mechanism. The torque sensors are used for measuring the input torque and the output torque of a measured piece in real time, are respectively arranged near an input shaft and an output shaft, and output real-time signals to the measurement and control instrument; the driving motor provides driving torque for a tested piece and is provided with a torque sensor and a driver. The load motor provides a resistance moment for a tested piece, and is equipped with a motor driver, so that the tested piece can be tested under an externally applied load; the electric control cabinet is used for controlling a tested piece and a power supply; the control cabinet is used for installing a driving motor, and an emergency stop control circuit is arranged in the driving motor.

The invention discloses steel with excellent surface quality for a power battery shell and a manufacturing method thereof. The steel for the power battery shell comprises the following chemical components in percentage by weight: 0.015%-0.025% of C, less than or equal to 0.030% of Si, 0.10%-0.20% of Mn, less than or equal to 0.01% and less than or equal to 0.02% of P, less than or equal to 0.012% of S, 0.03%-0.08% of Cr, 0.02%-0.05% of Alt, 0.002%-0.005% of B and the balance of Fe and inevitable impurities. The cold-rolled sheet for the low-carbon deep-drawing battery shell is produced mainly by accurately controlling components in steel and through the working procedures of hot rolling, layer cooling, acid rolling, annealing and leveling. According to the cold-rolled steel plate produced by the method, the yield strength is 190-260 MPa, the tensile strength is 320-390 MPa, the ductility is larger than or equal to 38%, the HR30T range is 45-50, and the cold-rolled steel plate has the high-speed stamping capacity, certain anti-pressure capacity and excellent surface quality.

The invention belongs to the technical field of semiconductor manufacturing, and provides a semiconductor light development evolution determination method and device, equipment and a storage medium. The method comprises the following steps: determining a calculation region for simulation light development according to input parameters of a photoresist region and a mask region of a 3D semiconductor device structure, and determining an initial value # imgabs0 # of a level set equation; determining the evolution speed of the photoresist surface based on the input parameters; obtaining a discrete format of the level set equation; solving the discrete format of the level set equation based on the initial value # imgabs1 # of the level set equation and the evolution speed, and obtaining a three-dimensional discrete data field in the calculation area; the light-developed surface area is extracted when the emulation time is reached using a traveling standing method. The level set equation is introduced to simulate and determine the evolution surface after the light development reaches the simulation time, so that the problem that the development condition can only be determined by putting into actual production at present is solved, and the development of a subsequent photoetching process is facilitated.

The invention relates to the technical field of material science and image processing, in particular to an iron-carbon alloy microstructure identification method based on deep learning, which comprises the following steps of: processing and shooting all metallographic samples; the method comprises the following steps of: calculating a gray histogram of a metallographic image, then calculating a cumulative distribution function, then equalizing the image, and finally cutting the preprocessed image to a proper size; inputting the preprocessed picture into a Swin Transform model to carry out deep feature extraction learning on the picture; and inputting the extracted image features of each class of iron-carbon alloy microstructures into a full-connection layer through a LayerNorm layer and an Average Pool layer to train a multi-classifier, thereby realizing classification and identification of the iron-carbon alloy microstructures. According to the method, various microstructures of the iron-carbon alloy can be efficiently classified and recognized, and the accuracy and efficiency of recognizing the microstructures of the iron-carbon alloy are improved.

The invention relates to a sensor system, a sleep space and a method of optimizing sleep quality and comfort in a sleep space. The sensor system is used for monitoring and optimizing personal sleep quality, comfort, health and welfare and comprises a radar sensor, a processor, a communication device and a control component of environmental equipment. Configuring a sleep space with the sensor system; a sensor system is employed to perform a method of optimizing sleep quality and comfort in a sleep space. Adjustment of the environmental device to facilitate returning of the individual to a calm and deep sleep state is initiated by controlling the environmental device control component based on data collected by the radar sensor and / or data and / or control signals processed by the processor.

The invention relates to the technical field of composite packaging films, and provides a high-heat-resistance high-strength multi-layer co-extrusion high-barrier film and a preparation method and application thereof.The film is composed of seven layers including a modified polyethylene layer, a bonding resin layer, a polyamide composite layer and an ethylene-vinyl alcohol copolymer composite layer; according to the film, the modified polyethylene layer is creatively fused, and carboxyl functionalized graphene and polyethylene are ingeniously added, so that the thermal stability and the mechanical strength are remarkably improved. The polyamide composite layer is reinforced by the surface-modified boron nitride nanosheets, so that the barrier property is improved; the performance of the ethylene-vinyl alcohol copolymer layer is improved due to modification of microcrystalline cellulose. The preparation method comprises the steps of raw material mixing, plasticizing extrusion, blow molding, cooling shaping, traction rolling and the like. According to the invention, a multi-layer co-extrusion structural design is adopted, so that excellent heat resistance, mechanical strength and barrier property are realized, the problem of insufficient performance of a traditional single-layer film is solved, and the film has wide application value in the fields of food packaging, medicine packaging, new energy battery packaging and the like.

The invention discloses an alkaline and proton exchange membrane composite electrolytic cell based on renewable power, which comprises a renewable power supply module, an alkaline electrolytic cell, a PEM (Proton Exchange Membrane) reversible fuel cell and an intelligent controller, the output end of the direct-current bus device is connected in parallel with an alkaline electrolytic cell, a PEM reversible fuel cell and a power grid; and the intelligent controller controls the working modes of the alkaline electrolytic cell and the PEM reversible fuel cell according to the direct current bus device power signal and the power grid power demand signal, wherein the working modes comprise an alkaline electrolytic cell electrolysis mode, a PEM electric pile electrolysis mode and a PEM electric pile power generation mode. Based on the combined application of the multiple electrolytic cells, the operation range of the composite electrolytic cell system can be widened, the combined stable operation of the alkaline electrolytic cell and the PEM reversible fuel cell is realized, and the hydrogen production efficiency of the composite electrolytic cell system is improved while the stable operation of a power grid is facilitated.

The invention discloses a three-dimensional space distribution optimization prediction method based on reservoir classification, and relates to the field of oil-gas exploration and development, and the method comprises the steps: obtaining the physical property data of a core sample in a target region, and classifying the physical property test points through a clustering analysis method; establishing a three-dimensional geologic model of a target area, and determining favorable main control factors and adverse main control factors which influence physical properties through spatial superposition of different types of reservoir bodies and physical property influence factors; a three-dimensional space influence factor superposition three-dimensional body is established through superposition of various physical property influence factor weight coefficients, physical properties are calculated through physical property influence factor homogenization numerical values and the weight coefficients, and three types of reservoir bodies are divided; and continuously verifying and training the precision degree of the prediction model by adding a new drilling well and a new type of influence factors, and predicting the reservoir type of the well-free region by using the corrected and optimized prediction model. The reservoir prediction precision can be improved, the visualization of the prediction result is enhanced, and the exploration and development efficiency is improved.

The present invention belongs to the field of mechanical design technology, and particularly relates to an Ω-shaped metal ring for connecting composite thin-walled circular tubes, an Ω-shaped metal ring and a composite thin-walled circular tube assembly and a molding method thereof, the Ω-shaped metal ring comprising an Ω-shaped metal ring body, the Ω-shaped metal ring body comprising an Ω-shaped corrugated portion and a circular tube portion extending outward along the outer edge of the Ω-shaped corrugated portion, the wall thickness of the circular tube portion being greater than the wall thickness of the Ω-shaped corrugated portion, the connection between the circular tube portion and the Ω-shaped corrugated portion being formed with a chamfered portion forming a continuous arc transition, and the outer edge end of the circular tube portion being formed with a shoulder whose wall thickness is thicker than that of the circular tube portion. In the present invention, the Ω-shaped metal ring structure can reduce the problems of low strength and large deformation of traditional U-shaped or V-shaped metal ring structures, and provide a connection structure solution for multi-component modular mechanical equipment that simultaneously meets multi-dimensional requirements such as strength, vibration, deformation control, and connection sealing.

The utility model relates to a well type quenching cooling device, which comprises a well type rack, a lifting appliance, a rotating device and an external spraying system, the rotating device is arranged at the top of the well type rack, the external spraying system comprises an external pipeline and external spraying nozzles, the external spraying nozzles are uniformly arranged on the external pipeline along the circumferential direction and the axial direction of the well type rack, and the external spraying nozzles are arranged on the external pipeline. The outer pipeline is externally connected with a water supply system, the lifting appliance is used for fixing a quenching workpiece to suspend the quenching workpiece in the middle of the well type rack, and the lifting appliance is supported on the rotating device and is driven by the rotating device to rotate. According to the utility model, the quenching workpiece can rotate in the well type rack, the spraying dead angle is eliminated, the spraying amount received by the workpiece in the circumferential direction is uniform, the cooling speed is consistent, and the phenomenon that the quality and the performance of the steel pipe are seriously influenced by deformation bending or local cracking of the quenching or cooling steel pipe is greatly reduced or eliminated.

The present invention relates to the technical field of devices for controlling or monitoring a tire lamination process. The present invention provides a central mechanism of a tire vulcanizer. The present invention comprises a tire vulcanizer body, a vulcanizing device is installed at the center, an exhaust gas suction port is arranged on the top, and a base is arranged on the bottom. The present invention innovatively designs the side wall and the depth probe installation frame, and is internally equipped with a sensor monitoring compartment for real-time data collection and monitoring. At the same time, the innovative heat dissipation system comprises a copper plate heat dissipation channel, a water tank, a heat-absorbing copper column and a nitrogen heat dissipation chamber, etc., to ensure that the equipment can effectively dissipate heat even when running at high load and maintain a stable working state. In addition, the combination of the exhaust gas purification device and the exhaust gas suction port realizes environmentally friendly exhaust gas treatment. The present invention improves the working efficiency and stability of the tire vulcanizer.

The invention belongs to the field of electrochemistry, and particularly relates to a zwitterionic liquid-based solid electrolyte membrane and a preparation method and application thereof.The preparation method comprises the following steps that 3-(1-vinyl-3-imidazolyl) propanesulfonate powder and N, N '-methylene bisacrylamide serve as cross-linking agents, methyl alcohol and water are added, and a 3-(1-vinyl-3-imidazolyl) propanesulfonate solution is obtained; then adding a photoinitiator, and carrying out photocatalytic polymerization reaction under the irradiation of ultraviolet light to obtain the 3-(1-vinyl-3-imidazolyl) propanesulfonate solid film. The 3-(1-vinyl-3-imidazolyl) propanesulfonate solid-state membrane is soaked in an alkaline solution for ion exchange to obtain the zwitterionic liquid-based solid-state electrolyte membrane, and compared with a unisexual ionic liquid membrane, the 3-(1-vinyl-3-imidazolyl) propanesulfonate solid-state membrane has higher conductivity, so that the problem of low conductivity of an artificial polymer electrolyte membrane is solved.

The present invention discloses a method for evaluating the influence of pile insertion of a jack-up drilling ship on the stability of a large-diameter steel cylinder, including: establishing soil components, steel cylinder components, and pile shoe components; assigning material section properties to the three components; obtaining an assembly model; creating a gravity analysis step and a load analysis step; setting the contact properties between the soil and the steel cylinder, setting boundary conditions; meshing; applying gravity and pile shoe penetration loads, and establishing a three-dimensional finite element numerical simulation model, etc. The present invention discloses a method for evaluating the influence of pile insertion of a jack-up drilling ship on the stability of a large-diameter steel cylinder, and establishes a practical engineering numerical simulation calculation method, which can effectively evaluate the influence of pile insertion of a drilling ship on the stability of an adjacent steel cylinder under different working conditions, and promotes the progress of the analysis technology of large deformation engineering problems of marine rock and soil.

The invention discloses a method and a system for evaluating biological friendliness of a passenger compartment of a road vehicle, and the method comprises the steps: setting cabin health evaluation, cabin comfort evaluation and advanced safety science and technology application evaluation, the comprehensive scoring result is equal to the sigma cabin health evaluation index score + the sigma cabin comfort evaluation index score + the sigma advanced safety science and technology application evaluation index score. The cabin health evaluation comprises in-vehicle air quality evaluation, in-vehicle electromagnetic radiation evaluation, in-vehicle constant contact part polycyclic aromatic hydrocarbon content evaluation and in-vehicle constant contact part transferable substance content evaluation. The cabin comfort evaluation comprises in-vehicle smell sensory evaluation, in-vehicle seat comfort evaluation, in-vehicle environment noise filtering evaluation and in-vehicle visual sensory comfort evaluation. In advanced safety science and technology application evaluation, the passenger health safety technology application condition is evaluated.

The utility model discloses a shared charging pile fixing frame, which relates to the field of charging pile installation and comprises a fixed upright post plate, the bottom end of the fixed upright post plate is used for being fixed with the ground, and the top of the fixed upright post plate is provided with a limiting structure used for installing and fixing a charging pile controller. A placing frame for placing a charging gun head of the charging pile is mounted and connected below the limiting structure, and a wire arranging frame for placing a pipeline of the charging pile is arranged at one side end of the placing frame; the limiting structure comprises a limiting seat, the limiting seat is provided with a limiting groove used for placing, limiting and fixing the charging pile controller, and the limiting seat is connected with the fixed stand column plate through a bolt. The fixing frame is convenient to assemble and disassemble and low in manufacturing cost, the fixing frame can adapt to different charging pile sizes and types, the charging pile is fixed, and therefore the installation progress is increased, and time and cost are saved.

The invention discloses an electrode structure in a flow battery, and particularly relates to an electrode structure with bionic fish gill design in the flow battery, and an electrode main body forms a gill cavity-like structure; the flow channel I is used for allowing electrolyte to flow into the gill-cavity-like structure; the flow channel II is used for the electrolyte in the gill-cavity-like structure to flow out; a gill arch-like structure is arranged in the gill cavity-like structure and is used for guiding electrolyte convection; the gill filament-like structure is used for diffusion and mass transfer of reactants; and the gill-like small sheet structure is used for providing a large number of electrochemical reaction sites. The technical problems that the 3D printing integrated electrode structure design integrates the structure and functional characteristics of a bipolar plate and a porous electrode in a traditional flow battery, the packaging difficulty and the contact resistance of an electric pile unit in the flow battery are reduced, and the power density and the energy efficiency of the flow battery are improved are solved. The electrode structure is simpler and more efficient to manufacture, large-scale production is facilitated, and the production cost is reduced.

The utility model discloses a solid-liquid reaction gas generating device, which belongs to the technical field of chemical reaction auxiliary devices, and is characterized in that the solid-liquid reaction gas generating device comprises a liquid container, a dripping pipe and a reaction vessel, and the liquid container forms a container for containing reaction liquid; the plurality of dripping pipes are uniformly distributed at the lower part of the liquid container, and all the dripping pipes form a horizontal matrix-shaped dripping area; the reaction vessel is arranged below the dripping pipe, a groove for placing a reaction solid is formed in the reaction vessel, and the groove is provided with a notch positioned below the dripping area. The array porous dripping type solid-liquid reaction gas generation device provided by the utility model has the advantages of low cost, simplicity in operation, stable reaction effect and flexible application scene, and in addition, for gas which is easily dissolved in water, the generated gas can be released in time, the dissolution is reduced, the gas generation efficiency is improved, and the production cost is reduced. Not only can convenience be provided for chemical teaching, but also important tools and possibilities can be brought to scientific research and production application.

The invention belongs to the technical field of biological medicines, and discloses an application of an intervention B cell miR-330-5p in preparation of a medicine for treating systemic lupus erythematosus (SLE), and a preparation method of the intervention B cell miR-330-5p. According to the invention, the miR-330-5p, the mimic of the miR-330-5p and the expression vector of the miR-330-5p are applied to the preparation of the medicines for preventing and / or treating the SLE and the medicines for inhibiting the activation of B cells in the SLE state. The invention provides a new intervention target for inhibiting B cell activation, and provides a new way and means for treating B cell activation mediated autoimmune diseases.

The invention relates to the field of building construction, in particular to a zero-vibration-sense and micro-vibration-velocity fine blasting construction method for an urban complex environment, which realizes high efficiency, safety and environmental protection of blasting construction through the technical means of geological investigation and environment evaluation, accurate design of blasting parameters, digital intelligent construction management, interval charging of water bags, automatic vibration velocity monitoring, wrong item damping and the like. By means of precise control over blasting energy and precise management over the construction process, blasting vibration, noise and dust are effectively controlled, and the influence on the surrounding environment is reduced. The method has the advantages that construction efficiency and quality are improved, economic benefits and social benefits are remarkably improved, and a new way is provided for safe and green development of urban underground space.

The utility model discloses a picture spraying sleeve for a muzzle of a paint spraying gun. The picture spraying sleeve comprises a sleeve part matched with the muzzle of the paint spraying gun, a conical pipe arranged at the left end of the sleeve part, a recycling part arranged at the left end of the conical pipe, a distance measuring part arranged on the upper side of the recycling part, and a picture card arranged on the left side of the recycling part and matched with the recycling part. According to the spray gun muzzle pattern spraying sleeve, repeated spraying can be conducted on the same pattern, a sticker does not need to be specially attached to equipment, paint can be well prevented from being sprayed to other positions of a target object, meanwhile, the paint can be effectively prevented from being diffused to surrounding air, the health of workers can be protected, and the work efficiency is improved. And the paint can be effectively recycled, so that the progress of the industry is well promoted.

The invention discloses a pituitary adenoma invasion image data analysis method and system, and relates to the technical field of medical prediction. The pituitary adenoma invasion image data analysis system comprises an image feature extraction module, an auxiliary factor analysis module and an invasion prediction and judgment module. According to the method, image data and auxiliary biomarker data of a patient are combined, a cross attention mechanism and a feature fusion strategy are adopted for analysis, information from different data sources can be fully utilized, and the comprehensiveness and precision of pituitary adenoma invasion prediction are improved; the pituitary adenoma image is processed by using a bidirectional propagation network, so that more detailed and accurate image features can be extracted; through the pituitary adenoma invasion prediction model, in combination with the invasion data auxiliary prediction factor and the patient image feature image, high-precision invasion prediction can be performed, key features of different modalities are fused, and the accuracy and reliability of invasion prediction can be improved.