27results about How to "Avoid distractions" patented technology

The utility model relates to the technical field of medical auxiliary appliance, in particular to a kind of adjusting tracheal puncture device of emergency department, it can make medical staff no longer occupy one hand to lift the mandible of patient, so it will not make medical staff arm feel sore, avoid causing the distraction of medical staff, so that medical staff can wholeheartedly carry out tracheal puncture to patient;Including base and bracket, bracket is set on base, the base includes two groups of movable mat and two groups of fixed plate, the left side of two groups of movable mat is equipped with arc avoiding groove, the right end of two groups of fixed plate is equipped with limit connecting groove, two groups of movable mat are respectively connected with two groups of fixed plate by the cooperation of connecting plate and limit connecting groove, and two groups of movable mat and two groups of fixed plate are mutually symmetrical, the upper and lower ends of movable mat are respectively aligned with the upper and lower ends of fixed plate, the bracket includes arc-shaped supporting plate, for supporting the mandible of patient.

The invention relates to a self-adaptive management method and system for a database plan cache, and the method comprises the steps: firstly judging whether the plan cache is hit or not after a database receives an SQL statement, and triggering a hard analysis generation plan and caching the plan when the plan cache is not hit; if the cache is hit, further judging whether a corresponding multi-execution plan exists or not; and when only a single execution plan exists, analyzing the relationship between the number distribution of execution tuples and the number of execution times by adopting an execution efficiency algorithm to dynamically judge whether the data is inclined. And when a plurality of execution plans exist, entering a multi-plan cache management stage, selecting the execution plans according to a matching result of the current binding variable predicate selection rate and the cache plan historical selection rate, and generating and caching a new plan when the matching fails. According to the method, the data skew is accurately identified by executing the efficiency algorithm, intelligent matching and multiplexing of plans are realized by means of a multi-plan cache management mechanism, and the overall performance of the database in a data skew scene is improved.

The utility model relates to municipal works pipe jacking construction technology field discloses a kind of folding linear pipe jacking line shape measuring devices, including clamping mechanism, folding ruler, adjustable target and the telescopic fixing mechanism for locking the included angle between clamping mechanism and folding ruler;The clamping mechanism is used to clamp the measuring device in the end of pipe wall two sides of construction pipe jacking;Folding ruler one end articulates clamping mechanism;Folding ruler is provided with recess along length direction, and folding ruler is divided into several short rulers, and short ruler is connected with hinge;Laser source and reflector are provided on the adjustable target, and adjustable target is embedded recess to form sliding connection;The telescopic fixing mechanism includes telescopic link and first fixed bolt.The utility model integrates clamping, extension, measurement, target and locking function in one, adapt to the narrow space limit of construction;The short ruler design of folding ruler meets different pipe diameter measurement demand;Telescopic link adjusts included angle, ensures that folding ruler is perpendicular to pipeline axis, reduces inclination error.

The embodiment of the invention relates to the technical field of vehicles, and discloses a pit identification method and device, and the method comprises the steps: obtaining the vertical speed information of the sprung mass and the vertical speed information of the unsprung mass of each wheel of a vehicle; determining speed characteristic information of each wheel according to the vertical speed information of the sprung mass and the vertical speed information of the unsprung mass of each wheel; and according to the speed characteristic information of each wheel, determining a pit identification result of the vehicle. By applying the technical scheme of the invention, the problem of poor accuracy of pit identification in the prior art can be solved.

This invention relates to the field of computer vision, specifically to a monitoring method based on cascaded target detection, comprising: acquiring a monitoring screen; recognizing the monitoring screen using a trained first YOLO model and cropping out target region images; recognizing each target region image using a trained second YOLO model and obtaining target information therein; and summarizing the target information to a host computer; the target information includes a region number, and the step of obtaining the region number includes: locating target character information in each target region image using a trained second YOLO model; recognizing the located target character information using OCR technology, and confirming the region number based on the recognition information; the step of summarizing the target information to a host computer includes: when any target region fails to be recognized within a preset time period, summarizing and transmitting the target information corresponding to that target region to the host computer; after successful transmission, restricting other target information carrying the region number of that target region from being uploaded again.

This invention discloses a differential information forwarding method, comprising the following steps: S1, setting parameters; S2, receiving differential information to be forwarded from a host computer; S3, encoding and transmitting the received differential information according to the set parameters; in step S1, the parameters include channel, transmit power, and modulation mode, wherein the modulation mode includes LoRa mode and GFSK mode; when the modulation mode is LoRa mode, two frequency points are set on each channel, with an interval of at least 55MHz between each frequency point, and a differential information signal is transmitted once at each frequency point, with the two frequency points alternately transmitting data frames; when the modulation mode is GFSK mode, three frequency points are set on each channel, with an interval of at least 55MHz between each frequency point, and a differential information signal is transmitted once at each frequency point; this invention employs a dual-frequency or triple-frequency retransmission mechanism, enabling the receiver to avoid interference points as much as possible in the time and frequency domains, greatly improving the data packet transmission success rate and adapting to complex electromagnetic environments.

The utility model discloses a seismic sensor coupling structure, which comprises a tailstock arranged on the surface of a medium to be coupled and a sensor arranged on the tailstock, three supporting legs are uniformly distributed at the bottom of the tailstock, and the tip of each supporting leg is a linear or arc cutting edge. The three-foot tail cone structure is adopted, the appearance structure of the supporting foot is optimized, and each tail cone is replaced by a locally concentrated short straight line or arc cutting edge, so that the coupling rigidity function of the supporting foot is ensured, and meanwhile, the inadaptability of a single-point supporting foot to local unevenness is overcome.

This invention provides a method and system for priority interception of unmanned aerial vehicles (UAVs) based on a dense optical flow algorithm, relating to the field of UAV interception technology. The method includes: acquiring flight image data of UAVs within an interception area; preprocessing the flight image data to obtain a corresponding standardized image dataset; calculating the optical flow field distribution of pixels in adjacent frame image data based on a dense optical flow algorithm and the standardized image dataset; extracting motion feature parameters of the UAVs from the optical flow field distribution to form a motion feature dataset of the UAVs; calculating the threat level quantification value of all detected UAVs within the UAV flight area based on the motion feature dataset and the actual distance between the UAVs and the key protection area; generating a priority interception sequence based on the threat level quantification value; and generating corresponding priority interception strategies based on different levels of UAV targets in the priority interception sequence.

The utility model discloses a full -automatic hydraulic cutting press relates to cutting press technical field, including frame, the top fixed mounting of frame has the top rack. The utility model adopts above -mentioned structure, and this device is through setting positioning guide mechanism, makes at work, starts first motor, drives the rotation of screw rod in the sliding slot, because the thread rotation of both ends is opposite, drives two sliders to slide relatively or to back, accurately adjusts the inside transmission guide pulley spacing of clamping frame, realizes to the positioning of both sides of product, starts second motor, drives worm, drives worm wheel and transmission guide pulley synchronous operation, and transmission guide pulley is pasted both sides of product, realizes flexible conveying of product through motor control, and this mechanism can steady clamping different size products, prevents the stamping and slides, realizes the automatic transmission again, greatly improves the stamping processing stability and automation degree, further improves production and processing quality and efficiency, satisfies the efficient production demand.

The application discloses a secondary frequency control method and device resisting false data injection and a storage medium, belongs to the technical field of micro-grid control, and is used for performing secondary frequency control on a target distributed power generation unit in a distributed micro-grid. The method comprises the following steps: acquiring local frequency compensation amounts of each distributed power generation unit; inputting the local frequency compensation amounts of the remaining distributed power generation units into a pre-trained neural network, and outputting a predicted frequency compensation amount of the target distributed power generation unit; detecting whether false data injection occurs according to the local and predicted frequency compensation amounts of the target distributed power generation unit; and when it is detected that false data injection occurs, replacing the local frequency compensation amount of the target distributed power generation unit with the predicted frequency compensation amount of the target distributed power generation unit, and compensating for a frequency deviation caused by droop control of the target distributed power generation unit. The application can solve the problem that false data injection destroys the secondary frequency control function.

The application provides a composite extraction agent, a pretreatment method for detecting estrone in blood and a detection method for estrone in blood, and belongs to the technical field of analysis and detection.The composite extraction agent comprises mixed fillers of C18 fillers and PSA fillers, a lower layer solvent (methanol and / or isopropyl alcohol) and an upper layer solvent (n-hexane); and the mixed fillers are immersed in the lower layer solvent.The application adopts the above-mentioned composite extraction agent to complete the extraction of the sample to be detected through a pretreatment method of 'layered extraction' in only one step, and the operation is convenient; methanol and / or isopropyl alcohol are used as the extraction solvent, the toxicity is lower, the interference with mass spectrometry is less, the matrix effect is reduced, and the accuracy and sensitivity of subsequent detection are improved; liquid chromatography-triple mass spectrometry is used for detection, the interference of daughter ions is avoided by monitoring parent ions, the anti-interference ability is stronger, and quantitative and qualitative analysis of estrone in blood can be accurately and efficiently realized.

This invention belongs to the field of urea hydrolysis technology, specifically relating to a method for detecting chloride ion content in urea hydrolyzer wastewater. This invention employs a dual method of removing organic matter from the water sample through organic filter paper filtration combined with digestion. It uses neutralization to remove hydroxide ions and heating and boiling to thoroughly remove ammonium ions. Furthermore, it uses sodium bicarbonate, a strong base and weak acid salt, to adjust the pH of the system, avoiding the introduction of large amounts of hydroxide ions during pH adjustment, reducing side reactions with the titration standard solution, and minimizing interference with indicator color development and titration endpoint determination. This invention effectively avoids multiple interfering factors such as mechanical impurities, ammonium ions, hydroxide ions, and organic matter, significantly improving the accuracy and reliability of chloride ion content determination results in urea hydrolyzer wastewater.

The application discloses a display method and device of data in a vehicle, a vehicle, a storage medium and a processor. The method comprises the following steps: in response to the interconnection between a mobile terminal and the vehicle, determining an application program running in the mobile terminal; determining a target category of the application program, and acquiring driving data of the vehicle, wherein the driving data is used for representing the driving state of the vehicle, and the target category is used for representing the function of the application program; determining the display state of the application program on the vehicle based on the target category and the driving data; and displaying the display data of the application program on the display device of the vehicle according to the display state. The application solves the technical problem that the display content of the application program leads to low driving safety.

This invention discloses a vehicle roof lighting system that adaptively adjusts based on driving lighting needs, belonging to the field of vehicle lighting technology. It includes a road condition recognition module, a vehicle status acquisition module, a central control module, a lighting execution module, an anti-glare coordination module, and a human-machine interaction module. The road condition recognition module acquires geological texture features, geometric contour information, and ambient light intensity within a preset range in front of the vehicle, generating a multi-dimensional semantic map. The vehicle status acquisition module monitors the vehicle's dynamic parameters and dynamic pose in real time, performs noise reduction preprocessing on the raw sensor data, and outputs vehicle driving posture parameters. Through a multi-sensor layout, Kalman filtering algorithm, and multi-degree-of-freedom mechanical actuators, it meets the urgent need for high-quality auxiliary lighting for off-road vehicles in complex and dynamic driving environments, significantly improving driver visibility safety. Simultaneously, through intelligent anti-glare coordination logic, it enhances road traffic safety.

The invention provides a TSV through hole-based 3D lamination alignment detection method, device and equipment and a storage medium, and the method comprises the steps: carrying out the high-resolution imaging of the side wall of a TSV through hole through a section sample obtained by carrying out the layer-by-layer etching of each TSV through hole in a first lamination layer in a direction perpendicular to the surface of a wafer, and obtaining a side wall image; measuring the longitudinal continuous distribution of the conductive filling material in the TSV through hole based on the side wall image to obtain a current response map; determining an effective conductive axis based on position information of a depth interval in which the current intensity is higher than a preset intensity threshold value in the current response map, and constructing a reference axis based on the effective conductive axis in combination with geometric center coordinates of a top opening of the TSV; and calculating a space offset vector of the reference axis of the corresponding TSV between the two laminations based on the reference axis of the TSV at the corresponding position on the second lamination to obtain an alignment deviation value. According to the invention, the robustness of alignment detection of the 3D lamination under a complex process condition is improved.

This invention provides a method for controlling a home appliance. The method involves running a selected program, stopping a monitoring device, and if the first subroutine of the program is detected to have finished running, then starting the monitoring device and executing a preset function of the home appliance in response to a sensing signal sent by the monitoring device. The monitoring device is configured to monitor targets around the home appliance and send the sensing signal. If the first subroutine is detected to be running, it is determined whether the first subroutine meets set conditions. If so, the first subroutine is paused, and the monitoring device starts running. In response to the sensing signal sent by the monitoring device, the preset function of the home appliance is executed, and the monitoring device is stopped and the first subroutine continues to run. The method controls the running time of the monitoring device to prevent interference from internal interference components during the program's operation, which could affect the monitoring results.

This invention discloses a nuclear magnetic resonance (NMR) method for measuring the solid phase deposition of crude oil in porous media, belonging to the field of oil and gas reservoir development technology. By using a single saturation of crude oil in a core sample and leveraging the characteristics of online NMR technology, the method employs a comparison of experimental and NMR measurements, along with a 1:1 standard line reference, to determine the standard echo interval T in the transverse relaxation time T2 measurement acquisition parameters. E This method directly measures the amount of solid phase deposition in pore fluids in situ, solving the technical problems of existing technologies that cannot maintain the original characteristics of the sample, effectively avoid the interference of solid skeleton response and solid phase deposition particles, and are difficult to measure the solid phase deposition content of active oil in situ. It achieves the technical effect of rapid, efficient and accurate measurement of the amount of crude oil solid phase precipitation in cores under specific temperature and pressure conditions. The method is reliable in principle, simple to operate and highly applicable, and the test results are accurate and reliable, making it more suitable for the fine characterization needs of complex oil and gas reservoirs.

This invention provides a capsule shell solubility testing device, belonging to the field of pharmaceutical production and processing testing technology. The device features a simple, flexible, and adjustable structure, easy operation, and good testing results. The testing tank is shaped like an inverted frustum, with an open, large-diameter end facing upwards. Multiple lifting baskets are suspended within the tank's interior. Each basket is secured with a lifting cable via fixed lugs. Multiple winding machines are located outside the tank, with the lifting cables wound around them. The winding machines control the raising and lowering of the baskets. A central column stands vertically along its axis within the tank's interior, with a rotating arm mounted on top. A camera is fixedly suspended on the lower surface of the rotating arm's cantilevered end. This device offers flexible structure, independent testing tanks, smooth basket lifting, reduced interference, and high physiological environment fidelity, resulting in high testing accuracy.

This application provides a system and control method for linking haptic feedback and ambient lighting in an automotive seat, relating to the field of vehicle technology. The system includes: a touch input module for receiving user input to activate and adjust the massage function of the seat, generating corresponding adjustment signals; the touch input module is located on the side or armrest of the automotive seat; a main controller for receiving and parsing the adjustment signals to obtain the target massage level, and generating corresponding massage control signals and lighting control signals based on the massage level; a seat massage execution module for responding to the massage control signals and executing massage actions corresponding to the target massage level; and an ambient lighting module for responding to the lighting control signals and displaying light colors and animation effects associated with the target massage level. Implementing the technical solution of this application enhances the interactive experience.

The application discloses a hot area track compensation method and device for automobile chassis welding, equipment and a storage medium, relates to the technical field of industrial robot welding control, and comprises the following steps: acquiring a target welding area of a workpiece to be welded; determining a non-heat affected zone of the target welding area, selecting a plurality of cold zone visual reference features on the non-heat affected zone, and acquiring a first position parameter of each cold zone visual reference feature and a second position parameter of each cold zone visual reference feature in a welding process; obtaining a topological distortion variable based on the first position parameter and the second position parameter; if the topological distortion variable is greater than a preset change threshold, a cold zone deformation feature is acquired; a target track point is obtained according to the cold zone deformation feature; a corrected welding track is generated according to the target track point; and the industrial robot is driven to perform a welding operation on the workpiece to be welded along the corrected welding track. The method can improve the stability of compensation.

This invention relates to the field of electric motor control technology and discloses an electromechanical converter regulation system for compressor drive, comprising: a bus current gradient acquisition unit for acquiring DC bus current gradient; a switching timing calculation unit for reconstructing the switching vector execution timing within the space voltage vector modulation period; and a pulse width signal generation unit for generating switching control signals. When the DC bus current gradient exceeds a preset load mutation threshold, the switching timing calculation unit subtracts the zero vector duration to obtain the adjustment compensation time and injects the adjustment compensation time into the effective vector according to the original ratio of the effective vector. This invention achieves quasi-synchronous offsetting between converter output power and mechanical load fluctuations, compensates for current hysteresis caused by load torque pulsation, suppresses electromagnetic noise, and improves the energy efficiency and robustness of the drive system.

The invention relates to a sparse phase unwrapping method based on a graph attention network and edge regression, and relates to the field of image processing technologies, and the method comprises the following steps: S1, constructing a graph structure: defining an input sparse phase point set as P = {P1, P2,..., PN}, building a connection relation of the point set P to construct an undirected graph G = (V, E), fusing the spatial geometric information into each node i, and constructing an undirected graph; enabling the convolutional neural network to sense the space coordinates of the node i; wherein V is a node set, and E is an edge set; s2, graph neural network reasoning: using an improved graph attention network to make GATv2 to learn local manifold features of phase change, and predicting ambiguity difference between adjacent nodes; s3, shortest path phase reconstruction: combining a shortest path algorithm in a graph theory, and guiding a phase integration path by using the confidence coefficient of deep learning prediction to realize global phase reconstruction; and S4, phase recovery.

The application relates to an instrument recognition method and system fusing semantic and visual information and belongs to the technical field of image recognition, solving the problem that multiple readings close to each other on an instrument screen are misjudged as the same reading. The method comprises the following steps: collecting and pre-processing a screen image of an instrument display screen to obtain a to-be-recognized image; inputting the to-be-recognized image into a character recognition network to output character frame coordinates and character labels; taking character images corresponding to the character frames as nodes to construct a visual graph and a semantic graph, taking the similarity between feature vectors of the nodes as edge weights of the visual graph, and taking the similarity between character attributes of the nodes as edge weights of the semantic graph; fusing the edge weights of the visual graph and the semantic graph to construct an adjacency matrix; training a graph neural network according to a feature matrix, the adjacency matrix and the character labels, grouping the character images according to the trained feature matrix, outputting the character labels in groups, and obtaining a recognition result. The method realizes accurate recognition of instrument data.

This invention belongs to the field of photo-evaporation desalination of water, specifically relating to a composite photoevaporator for photo-evaporation desalination and its preparation method. Carbon nanotubes, which possess excellent light absorption and water transport capabilities, are dispersed in biomass materials. Simultaneously, a layer of copper acetate is sprayed onto the surface of the biomass materials containing carbon nanotubes, forming copper particles after carbonization. The photoevaporator prepared by this invention combines metal, carbon nanotubes, and biomass materials, exhibiting contrasting hydrophilic and hydrophobic properties and strong salt resistance.

This invention relates to the field of engineering machinery control technology and discloses a method for controlling the movement of counterweights in lifting equipment. The method includes establishing a multi-source heterogeneous data stream, simultaneously acquiring macroscopic operating status data of the lifting equipment and internal stress data of the slewing bearing, reconstructing the load field using the stress data and inverting the actual support reaction moment vector, and simultaneously constructing a virtual rigid body equilibrium model based on the macroscopic data to calculate the theoretical overturning moment vector. By calculating the vector deviation between the two, the structural stiffness factor characterizing the equipment's deformation resistance and the foundation settlement factor quantifying the ground bearing capacity are decoupled and obtained. Based on these factors, the target parameters of the counterweight are determined, and the counterweight telescopic hydraulic cylinder and the luffing winch are jointly driven to adjust the counterweight position. This invention distinguishes between structural deformation and foundation settlement risks through dual-parameter decoupling, achieving dynamic and precise adjustment of the counterweight's center of gravity in two-dimensional space, effectively improving the operational safety of cranes under complex working conditions.

The probe for the computerized flat knitting machine is an elastic probe, and the elastic structure with the automatic reset function and the buffering function is integrally arranged on the probe. The utility model also relates to a broken needle alarm device, which comprises two probes arranged on the left and right of the machine head through insulating bases, an alarm control assembly, the probe is an elastic probe, the elastic structure with the automatic reset function and the buffering function is integrally arranged on the probe, the upper portion of the probe is connected with a weak current lead, and the machine head moves left and right on the needle plate to realize knitting. When the probe lower portion and the broken needle needle foot falling from the needle plate contact, the circuit of the alarm control assembly is connected to realize the broken needle alarm. The elastic probe can effectively reduce the impact force of the needle foot contact and automatically reset after the broken needle alarm is removed. In addition, the probe is arranged at the inner bottom plate of the machine head of the computerized flat knitting machine and located between the left and right sides of the needle lifting cam and the needle returning cam, so that the detection of the broken needle is more timely and accurate, and the knitting product quality is improved.

The invention relates to the technical field of artificial intelligence, and discloses a student learning ability dynamic evaluation method fused with artificial intelligence. According to the method, physiological signals, behavior postures and task interaction data are synchronously collected through a multi-source heterogeneous sensor, after time alignment and noise suppression, high-order semantic features are extracted through a multi-modal feature fusion model, and dynamic weight distribution is achieved through a cross-modal attention mechanism; and the cognitive state discrimination module outputs the concentration level, the cognitive load intensity and the knowledge mastering confidence, so that the learning content difficulty, the rhythm and the interaction form are dynamically adjusted, and a closed-loop personalized learning path is formed. According to the method, the recognition accuracy and the evaluation robustness of the real cognitive state of the student are remarkably improved, and the learning efficiency and the input degree are effectively optimized.