968 results about "Close range" patented technology

The invention discloses a cable channel heating defect checking method based on a multi-legged inspection robot, and relates to the technical field of radiation temperature measurement, and the method comprises the steps: controlling the multi-legged inspection robot to autonomously advance in a cable channel, and collecting multi-source sensing data; constructing spatial-temporal feature representation of the cable channel based on the multi-source sensing data, and constructing a multi-modal graph neural network model to perform heating anomaly detection to obtain an initial detection result; when a suspected defect exists in the initial detection result, a multi-legged inspection robot is scheduled, a reinspection path and a detection mode are selected according to a reinforcement learning strategy, and a multi-modal graph neural network model is used for performing close-range reinspection on the position of the suspected defect; and performing fusion analysis on the initial detection result and the reinspection result, and outputting positioning information, defect type and confidence of the heating defect of the cable channel. According to the method, high-sensitivity identification of potential heating anomalies is realized, the missing report rate is remarkably reduced, the reinspection efficiency is improved, and repetition and omission are effectively avoided.

The embodiment of the invention discloses a cross-modal biological feature generation type enhancement method and system. The method comprises the following steps of: constructing a cross-modal biological feature recognition model, respectively acquiring long-distance modal data and short-distance modal data of a user, extracting feature vectors, pre-recognizing the user based on the long-distance feature vectors, finely recognizing the user based on the short-distance feature vectors, and carrying out mutual complementation and fusion on various modal features, so as to improve the recognition accuracy of the user. According to the method, the limitation that a single mode is low in recognition accuracy and prone to being interfered under different distance scenes is overcome, the identity recognition safety is improved, and through a secondary recognition mechanism combining pre-recognition and fine recognition, the efficiency and precision of identity recognition are improved while the system load is reduced.

The invention belongs to the field of medical care, and particularly relates to an intelligent nursing inspection auto-induction recording device and method, and the device comprises a directional RFID card reader at the entrance of a ward, an NFC activation module at the side of a sickbed, an integrated pressure-sensitive foot pad, and an adjustable installation structure. Timing is started through ward entrance identification, nurse information is recorded through close-range induction of a sickbed, and nursing operation and passing behaviors are distinguished by detecting a two-foot standing mode through a pressure-sensitive foot pad. The mounting structure comprises an L-shaped mounting plate and a sliding inner plate and is matched with the width of a sickbed; the angle adjusting component fixes the position; the intelligent pressure-sensitive foot pads are integrated at the four corners of the sickbed base, the pressure distribution sensors detect the standing mode of the two feet, nurses and temporary passing persons are distinguished, false inspection in the mode of waving for walking is avoided, substantive nursing operation of the nurses is accurately verified, and it is ensured that patients are truly and effectively nursed.

The invention belongs to the technical field of closed cooling towers, and discloses a countercurrent closed cooling tower and a cooling method.The countercurrent closed cooling tower comprises a tower body, a draught fan is fixedly connected to the top of the tower body, an air inlet is formed in the side wall of the bottom of the tower body, a water collecting tank is formed in the bottom of the tower body, and a pair of coil pipes is fixedly connected to the middle of the tower body; through cooperation of structures such as an annular shell, an annular spraying pipe and a concave panel, the possibility that scale is generated by the coil pipe is reduced, the heat exchange effect can be improved, during heat exchange, water in a collecting groove of the annular spraying pipe moving in a reciprocating mode is pumped and pressurized, the surface of the coil pipe is scoured in an annular mode, and the scale forming risk is reduced; and meanwhile, the sliding columns continuously extrude the wave-shaped grooves, so that the whole annular shell rotates in a reciprocating mode, close-distance washing can be more uniform, and therefore the heat exchange effect and durability of the coil pipe are efficiently improved.

The invention relates to the technical field of visual inspection, and discloses an industrial product online visual inspection method based on cloud collaboration, which ensures data authenticity through edge side close-range acquisition of images, meets the real-time detection rhythm of a production line through a lightweight model, and quickly screens out most clearly qualified or unqualified samples. And for subsequent cloud collaboratively reducing invalid data transmission, the edge side single-frame image detection time is less than or equal to 30ms, the high-speed production line beat requirement is met, 80%-90% of clear samples are preliminarily screened out, burden is reduced for the cloud, and bandwidth congestion caused by total data transmission is avoided.

The invention discloses a short-distance multi-ore-bed potassic salt ore large-section long-strip comprehensive mechanized mining method, and belongs to the technical field of potassic salt ore deposit mining. The method comprises the steps that a centralized transportation roadway is arranged on an upper head mining layer, an auxiliary transportation roadway is arranged in a stable salt rock interlayer between ore layers, and combined development is achieved; arranging large-section long strip chambers in the ore blocks along the inclination direction, and reserving permanent spacing strip pillars to maintain the stope to be stable; a chamber is cut and formed at a time by a double-arm large-mining-height mining machine, and efficient stoping is realized by matching with a continuous transportation system; multiple ore beds are mined in a coordinated mode from top to bottom in sequence, and the ore block air return way and the ore block air return way of the upper ore bed are staggered by 20 m or above so as to avoid stress superposition; a full-air-pressure ventilation system combining a press-in type and a draw-out type is constructed; natural supporting is achieved through permanent spacing strip pillars and natural top and bottom plates, safety is guaranteed through a micro-seismic and top plate monitoring system, and the goaf is backfilled with tail salt slurry to achieve green mining. According to the method, safe, efficient and high-recovery-rate mining of the short-distance multi-ore-bed sylvite ore is achieved.

The invention discloses a port avionics hub digital twin multi-level simulation model construction and visualization method, which comprises the following steps: obtaining a multi-view RGB image of a target port area, obtaining a camera attitude of each view by using an SfM algorithm, and reconstructing a sparse three-dimensional point cloud; constructing an LOD2 shell model with a semantic mark; an LLO3 model with holes is constructed; the LOD0-LOD3 model is serialized into a glTF 2.0 binary format and transmitted to a client side through HTTP / 2, the client side calls WebGL 2.0 through a browser to complete decompression, uploading and PBR rendering, and interactive plug-in-free visualization is achieved; constructing an eight-fork-two-fork-four-fork mixed spatial index, and performing multi-stage division and persistence on the LOD < 0 >-LOD < 3 > tiles, so that a client locates visible tiles within constant time based on node numbers; visual cone cutting and screen space error judgment are adopted to execute progressive loading on visible tiles, LOD0 is loaded at first, then LOD1-LOD3 is subjected to incremental superposition, low-level tiles in the same area are replaced with the LOD3 in a cross fading mode at the ultra-close distance (the Euclidean distance d from the center of a camera to the center of a target tile is smaller than or equal to 100 m), and smooth visual experience is obtained in a browser.

The invention belongs to the technical field of automatic driving, and particularly relates to an automatic driving decision-making method and device fusing lane dynamic evaluation and safety indexes and a medium. Real-time collision risks are calculated by collecting dynamic data of a vehicle and surrounding vehicles, multi-lane traffic flow data are collected under triggering of specific requirements, and characteristics such as density, speed and flow are extracted; and a lane basic passage score is calculated by fusing the flow and the large vehicle influence, and correction is carried out by combining the lane changing intention of surrounding vehicles to obtain a dynamic lane evaluation result. And constructing a multi-objective decision function based on the safety index and the lane evaluation result, and finally generating and selecting a trajectory with the minimum comprehensive cost value in a decision period for execution. According to the invention, collaborative evaluation of the vehicle close-range safety risk and the lane passing potential is realized, and the lane evaluation can reflect the traffic flow interaction influence. The driving efficiency and the lane adaptability are optimized, and the decision-making ability of the automatic driving system in the traffic environment is improved.

The invention relates to the technical field of coal mine ventilation safety, and discloses a coal mine ventilation tunnel monitoring method and device, electronic equipment and a storage medium. According to the method, real-time airflow parameters and dust concentration data of a ventilation roadway are collected through a distributed sensor array, and an original monitoring data set is formed. And carrying out multi-dimensional feature extraction on the data set to obtain a comprehensive feature set containing an airflow velocity fluctuation feature, a dust distribution gradient feature and a temperature change trend feature. And constructing a ventilation tunnel three-dimensional dynamic model based on the comprehensive feature set, and mapping airflow and dust data to model space coordinates. And generating a ventilation resistance coefficient matrix according to the model, performing mode matching in combination with a historical blockage case library, and identifying coordinates of a potential blockage area. And starting the mobile verification device to carry out close-range scanning on the potential area to obtain high-precision point cloud data and infrared thermal imaging data. According to the invention, the intelligent level and emergency response capability of coal mine ventilation safety management can be improved.

The invention relates to the technical field of automobile testing, and discloses a method and system for evaluating and testing visual field glare of a driver in a cabin, and the method comprises the following steps: starting from the position of the eyes of the driver, capturing a brightness distribution image of the whole visual field, and dividing the image into a plurality of sub light source regions around a glare source; dividing the visual field into a main sight area and a residual light sight area according to the attention distribution of the driver, and endowing sub light source areas falling into different areas with different weight values; calculating a unified glare index according to the weighted sum of the glare intensity of each sub light source area and the background brightness in the cabin; and finally, comparing the index with a preset threshold value, and outputting an evaluation result. According to the method, the large-area light source is divided into the sub-light sources, weighted calculation is carried out in combination with the attention of the driver, the problem that a traditional glare evaluation model is not suitable for a close-range non-point light source scene of the automobile cabin is solved, a scientific evaluation system matched with the automobile cabin is established, and the glare evaluation result is more accurate.

The invention provides a 35kV isolation switch opening and closing device. The 35kV isolation switch opening and closing device comprises a substrate, a contact unit, a transmission assembly and a driving unit. The substrate is provided with two composite post insulators which are arranged at an interval; the contact unit comprises a first connecting part and a second connecting part, the first connecting part is connected with one composite post insulator, and the second connecting part can be connected with the other composite post insulator; the transmission assembly is arranged in the vertical direction, and the top end is connected with the second connecting part. The driving unit is connected with the bottom end of the transmission assembly and used for driving the transmission assembly to move in the vertical direction, and the transmission assembly drives the second connecting part to move; wherein the driving unit drives the transmission assembly to move, and the transmission assembly drives the second connecting part to be in contact with or disconnected from the corresponding composite post insulator, so that switching-on or switching-off is realized. The invention provides a 35kV isolation knife switch opening and closing device, and aims to solve the problem of poor safety caused by manual close-range opening and closing of an isolation knife switch in the prior art.

The invention discloses a fuel gas leakage detection system based on mid-infrared laser, relates to the technical field of fuel gas detection, and aims to solve the problems that a large-area region is difficult to cover quickly and only close-range detection can be carried out in an existing laser fuel gas leakage detection method. The gas leakage detection system comprises a laser emission module, an infrared imaging detector module and a data processing module, the laser emission module is used for emitting an intermediate infrared laser beam to a to-be-detected area; the infrared imaging detector module is used for collecting an infrared spectrum signal of the to-be-detected area in real time; the infrared spectrum transmitting module is used for transmitting the infrared spectrum signal to the data processing module; and the data processing module is used for processing the received infrared spectrum signal to obtain a gas leakage detection result of the to-be-detected area. The method is suitable for detecting gas leakage in a natural gas pipeline and a liquefied petroleum gas storage tank area.