14results about How to "Clear interface" patented technology

The application provides a construction system and device of a non-human animal model of tension pneumothorax, and the system comprises: a fixing unit for fixing the non-human animal; a first processing unit for puncturing a puncture needle to the parietal pleura, making a guide wire pass through the needle cavity of the puncture needle to enter the pleural cavity, and withdrawing the puncture needle; a second processing unit for inserting a catheter along the guide wire to make the catheter enter the pleural cavity, pulling out the guide wire, and fixing the catheter; a third processing unit for unidirectional air injection into the pleural cavity through the catheter; and a fourth processing unit for monitoring the range of pneumothorax, determining that the non-human animal model of tension pneumothorax is obtained when the lung sliding of the injection side chest is greater than or equal to 4 / 6 area and lung points are observed, stopping air injection, and obtaining the non-human animal model of tension pneumothorax. The construction success rate of the application is 100%, the construction process is rapid, repeatable and objective in determination, and the application can provide a rapid and repeatable platform for diagnostic research, decompression technology evaluation and training.

This invention discloses an epitaxial wafer for a deep ultraviolet (UV) light-emitting diode (LED) and its fabrication method, relating to the field of semiconductor optoelectronic devices. The UV LED epitaxial wafer includes a substrate and a buffer layer, an N-type AlGaN layer, an active layer, an electron blocking layer, and a P-type AlGaN layer sequentially grown on the substrate. The active layer has a periodic structure, with each period comprising a sequentially stacked quantum well layer and a quantum barrier layer, and the number of periods in the active layer is ≥2. The quantum barrier layer comprises a sequentially stacked AlInGaN layer and a P-AlInGaN layer. Implementing this invention can effectively improve the luminous efficiency of deep ultraviolet LEDs.

The present application relates to the field of plunger pump, disclose a kind of slurry separation structure and plunger slurry pump, including pump body, flow guide pipe is equipped in pump body, the middle part of flow guide pipe is equipped with the isolation ring that follows plunger movement and moves up and down with action.Pumper upper part side end is equipped with plunger channel with medium oscillation cavity communication, plunger channel is connected with packing box, packing box is equipped with plunger, which can reciprocate transversely in plunger channel, flow guide pipe is located outside the lateral of plunger activity range.The present application can separate slurry medium, and effectively avoid the full turbulence of backwash medium and slurry medium, and plunger can be removed from the front end of pump body for maintenance, due to the existence of turbulence isolation ring, effectively shorten the size of pump body, improve the reliability of pump, maintainability, reduce manufacturing cost and improve the service life of spare parts.

The invention relates to the technical field of electric power inspection and maintenance robot control, and discloses a power transmission line crawling robot lifting self-adaptive shake suppression control method and system. The method comprises the following steps: acquiring three-axis acceleration and three-axis angular velocity data of a robot platform, calculating a yaw angle and an angular velocity of the robot platform relative to a vertical balance position, and constructing an evaluation index representing the shaking strength of the platform; according to the shake strength evaluation index, driving parameters of a lifting motor are dynamically adjusted through a nonlinear mapping relation; and the swing period and phase of the robot platform are monitored, and when the platform swings to a specific phase point, an instantaneous driving pulse is applied to a lifting motor to consume swing energy. By means of the method, the maximum swing angle of the robot platform can be reduced by 60% or above, the static time after the robot platform reaches the target position is shortened by 70% or above, and the working efficiency is remarkably improved.

The application provides a water-phase high-brightness fluorescent quantum dot and a preparation method thereof. 0.07 -Cu 0.03 In 0.1 Se 0.14 Compared with the prior art, the water-phase high-brightness fluorescent quantum dot has high-brightness fluorescent performance, the fluorescent intensity is more than 800, the absolute value of Zeta potential is greater than or equal to 56 mV, the system stability is good, the water-phase high-brightness fluorescent quantum dot can be mutually soluble with water, the interface with oil is clear, the hydrophilicity is high, and the water-phase high-brightness fluorescent quantum dot can be applied to gene detection, medical diagnosis, biological imaging, targeted drug delivery and the like. The preparation method adopts a solvothermal technology, the preparation method is simple and the preparation period is short, and the water-phase high-brightness fluorescent quantum dot obtained by using the preparation method also has the characteristics of non-toxicity, easy operation, high sensitivity and excellent stability.

The application provides a vehicle information processing method and an electronic device, and the method comprises the following steps: acquiring at least one speed limit sign in a driving environment where a vehicle is located in real time, and determining the occurrence time and occurrence position of each speed limit sign; determining the current speed limit information of the vehicle according to each speed limit sign and the occurrence time and occurrence position of each speed limit sign; displaying the current speed limit information, and acquiring the current driving state information of the vehicle after the current speed limit information is displayed; determining whether to stop displaying the current speed limit information of the vehicle according to the current driving state information, and stopping displaying if yes. The application can accurately display the current speed limit information of the vehicle, and can also ensure the reliability of speed limit recognition, and can also adjust the current speed limit information according to the actual driving logic, so that the display process of the speed limit information is more in line with the real driving logic, thereby improving the human-computer interaction experience of the user in the driving process.

The invention discloses a ventilation wall air conditioner regulation and control method and system fusing a graph neural network and genetic optimization. The method comprises the steps that multi-source data are collected; performing data preprocessing on the multi-source data to obtain preprocessed data; constructing a graph structure model containing a node set and an edge set, and generating an initial graph neural network prediction model in combination with the graph attention network; collecting training data, and training the initial graph neural network prediction model through the training data to obtain a graph neural network prediction model; inputting the preprocessed data into a graph neural network prediction model, and outputting a field distribution prediction result of the cold channel; based on a preset time interval, performing dynamic rolling optimization on the field distribution prediction result of the cold channel through a genetic algorithm, and determining an optimal control strategy; and adjusting and controlling the ventilation wall air conditioner according to the optimal control strategy. According to the invention, comprehensive analysis is carried out through the graph neural network and the genetic algorithm, so that efficient energy-saving, dynamic response and safe operation of the cooling system are realized.

The application discloses an optical crystal production dynamic optimization control system based on defect monitoring, which comprises a defect monitoring module, a reinforcement learning decision module, an in-situ repair execution module, a process optimization module, a data feedback module, a precision correction module and a federal learning collaboration module. A double-layer architecture combining inner real-time closed loop and outer cross-domain collaborative closed loop is adopted: the inner closed loop realizes millisecond-level real-time optimization through defect monitoring, real-time decision, repair execution and process optimization, and generates correction factors according to the correction factors generated by the data feedback and precision correction modules; the outer closed loop aggregates cross-batch, cross-process and supply chain data through the federal learning collaboration module to generate global optimization parameters and collaboratively enhance the decision. The reinforcement learning decision module synchronously receives and fuses the precision correction factors and the global optimization parameters, dynamically corrects the decision instructions, and the application realizes dynamic optimization control of the whole production chain.

The invention discloses a production process of a protective film for electronic equipment. The production process of the protective film for the electronic equipment comprises the following steps: S1, pretreatment and functional coating of a base film; s2, performing multifunctional precision coating; s3, cutting and packaging in an ultra-clean environment; the electronic equipment protective film comprises a release film, an electrostatic adsorption layer, a base film, an automatic repair layer and a surface coating functional layer which are sequentially stacked, the step S2 further comprises the following steps that S21, the coating structure is subjected to one-time extrusion molding from top to bottom; s22, a curing process is conducted, specifically, a UV-LED excimer lamp two-stage curing system is adopted, and after coating is completed, a product passes through a UV-LED curing section firstly; and then deep curing is carried out through a 172nm excimer lamp. According to the production process of the protective film for the electronic equipment, high-purity aromatic TPU with the thickness of 0.2 mm is adopted, and excellent anti-falling and anti-impact basic protection is provided for a screen due to the inherent high toughness, elasticity and impact resistance of the high-purity aromatic TPU.

The invention discloses an interpretable crop genome prediction deep learning model, puts forward a deep learning framework Cropform, fuses a convolutional neural network (CNN) and a multi-head self-attention mechanism, constructs a technical scheme integrating phenotype prediction and gene mining, automatically extracts local features of genome data through the CNN, and provides an explainable crop genome prediction deep learning model. In combination with a multi-head self-attention mechanism, global association among features is captured to realize high-precision prediction of complex phenotypes, and the prediction accuracy is maximally improved by 7.5% compared with CropGBM, DEM and the like. Key SNPs and genes can be accurately positioned through attention weight and SHAP value analysis, a genetic variation mechanism is disclosed, and multi-modal data fusion of SNP, InDel, gene expression and the like is supported to further improve performance. In order to improve practicability and convenience, the Cropform provides a free online network server. According to the method, the black box limitation of a traditional deep learning model is broken through, analysis of gene-phenotype association is assisted, and an efficient tool is provided for crop genome design and breeding.

The application relates to the technical field of angle-resolved photoelectron spectroscopy experimental instruments, and discloses an angle-resolved multi-electron coincidence measurement system and method based on an event-type delay line detector, which comprises an angle-resolved energy analyzer, an event-type delay line detector, an external trigger and synchronization module and a time digitization readout module. The detection surface of the event-type delay line detector is divided into at least two independent areas, which are used for receiving photoelectrons in parallel and independently outputting event signals; the external trigger and synchronization module is used for generating a unified trigger period to establish a global time reference; the time digitization readout module is used for receiving the event signals and generating time stamps; and the data acquisition and processing module is used for performing correlation selection based on the time stamps in the same trigger period. The application reduces the dead time through multi-area parallel readout, realizes unified time base calibration through time baseline calibration and delay compensation, can realize multi-electron coincidence measurement while maintaining the angle-resolving capability, and is suitable for pulsed or continuous light sources.

The utility model discloses a limo intelligent centralized control system, the system comprises a host and a centralized control screen, the host adopts a vehicle regulation system-level chip, various control methods such as voice recognition, touch control, mechanical switch and the like are realized, the use requirements of a user under all working conditions are met, and the immersion experience of the whole sense of the user is improved; the ever-increasing requirements of strong computing power, rich multimedia performance and the like are met; the centralized control screen realizes high integration and high intelligence of the control system, comprises an intelligent voice interaction area, a sensing interaction area, a convenient control area and a just-needed functional area, and provides a clear and convenient operation interface; meanwhile, a full-link voice interaction technology is implanted into the system, multiple languages and dialects are supported, mass data are continuously updated, and the voice recognition accuracy is continuously improved.

The invention relates to the technical field of straw recycling, in particular to a centrifugal grain and stone grading device based on a double-layer roller, the centrifugal grain and stone grading device comprises an external vibration winnowing machine and a stabilizing seat, the stabilizing seat is arranged at a stone discharging port of the vibration winnowing machine, an outer cylinder is rotationally embedded in the stabilizing seat, and an inner cylinder is arranged in the outer cylinder. The inner barrel is oval, and in the rotating process of the oval inner barrel, due to the existence of the long shaft and the short shaft, the motion states of materials are periodically different, when the materials pass through the long shaft area, the radius is increased, so that centrifugal force reaches the peak value, pebbles with large density are compacted and attached to the wall through strong force, and grains with small density migrate inwards under the extrusion effect; when the materials rotate to a short shaft area, the radius is reduced, so that the centrifugal force is suddenly reduced, the originally compacted material layer is slightly relaxed, at the moment, the stones further sink to the cylinder wall by utilizing inertia, and the grains float inwards while the machine is still.

The application belongs to the field of glass ceramics, and particularly relates to barium boron ultralow-temperature sintering glass ceramics, a preparation method and application thereof. 13 The main crystal phase of the barium boron ultralow-temperature sintering glass ceramics is at least one of BaB8O 13 crystal and BaB2O4 crystal, the glass ceramics is composed of BaO, B2O3 and three oxides after doping K2O, the preparation process is simple, and sintering densification can be completed in an ultralow temperature range of 610-650 DEG C. When tested under a microwave frequency (13-16 GHz), the dielectric constant of the glass ceramics is epsilon r = 5.31-7.05, the quality factor Qxf can reach 38,768 GHz, and the resonance frequency temperature coefficient tau f =-7.44--86.24 ppm / DEG C. The glass ceramics has good chemical compatibility with electrode materials such as aluminum and silver, the co-sintering interface is clear, and there is no element interdiffusion phenomenon, and can be used as a candidate scheme of ULTCC substrate material.