1530 results about "High intensity" patented technology

Provided is an automatic hail identification method based on radar image spatial mapping, including: obtaining a base reflectivity radar image; grading radar echoes using intensity values represented by different colors, and detecting radar center coordinates; performing spatial mapping, and establishing a dictionary for radar echo intensity in a new radar image space; after expanding the dictionary, transforming V-shaped notch and TBSS characteristics behind an original radar strong echo area into a standard rectangle and a triangle behind a strong echo in the new radar image space; determining whether there is a V-shaped notch and TBSS according to whether there is a standard rectangle or a triangle behind the strong echo; and if so, marking in the original radar image and calculating a position where hail occurs. A rapid and accurate method is provided for automation of hail monitoring and early warning and elimination of continuous high-intensity analysis pressure of forecasters.

The invention discloses a video monitoring system and device based on quantum encryption communication, and relates to the technical field of secure transmission of relay chain video data. The video monitoring system and device based on quantum encryption communication comprise the following modules: a data acquisition module for acquiring transmission data through front-end equipment and performing standardized preprocessing on acquired multi-modal data; the quantum encryption communication module is used for evaluating the security of the video data in a transmission process and dynamically adjusting a transmission strategy based on an evaluation result; the relay chain transmission module is used for analyzing the reliability of a relay chain link and optimizing a link load distribution mode; and the parallel chain data processing and collaborative analysis module comprehensively judges the collaborative response capability of the node in the data transmission process and generates an optimization report based on a judgment result. The problem that in the prior art, when high-intensity interference and data hijacking risks exist, the safety and reliability of a transmission link are difficult to guarantee is solved.

The invention discloses a video image dithering processing method and system based on a rescue scene, and relates to the technical field of video image processing. In order to solve the problems that in the prior art, the jitter compensation effect in a complex dynamic scene is poor, the processing precision cannot meet the requirement of a high-intensity rescue scene, and in a low-light or smog environment, the definition of an image is difficult to effectively improve, so that the visibility of a video picture is insufficient in an extreme rescue scene. Through the steps of video jitter detection, video stream correction, edge processing and video data transmission, the visibility of a video picture in an extreme rescue scene is effectively improved, jitter in video stream data can be accurately identified and corrected, edge distortion generated by jitter compensation is eliminated through edge processing, and the video jitter compensation accuracy is improved. According to the method, the image definition in a low-light environment is remarkably improved through brightness compensation, contrast optimization and color correction processing, the stability and definition of video images in a rescue scene are improved, and more reliable video support is provided for high-intensity rescue actions.

The invention relates to the technical field of image enhancement, in particular to a medical image focus recognition method and system based on a neural network, and the method comprises the following steps: setting neighborhood windows of different sizes based on input medical image data, calculating the Shannon entropy value of each neighborhood window, calculating the local energy value, and forming a local energy diagram; and fusing the Shannon entropy value and the local energy map to obtain a fused information entropy energy map. According to the method, neighborhood windows of different sizes are set for medical image data, and the Shannon entropy value and the local energy value are calculated for each window, so that the information complexity and the local pixel active degree of the image in spatial distribution can be fully extracted, and the information entropy energy spectrum formed by fusing the information complexity and the local pixel active degree has higher region sensitivity; high-response areas are screened through the atlas, boundary coordinates of the high-response areas are recorded, and the positioning precision can be improved in high-intensity change areas.

The invention relates to the technical field of new energy power plant construction data processing, in particular to a construction site personnel track recognition system based on a two-dimensional code, which adopts laser etching to dynamically encrypt a two-dimensional code label, and improves the weather resistance of the label in a salt fog environment through a salt-dredging nano coating and antistatic packaging. And a double-fixing structure combining the elastic binding band and the magnetic fastener is suitable for high-strength operation scenes. Industrial-grade scanning base stations are deployed in a construction area in a gridding mode, three-dimensional coordinate data are captured through a multi-base-station cooperative scanning mechanism, high-reflection interference of photovoltaic panels is eliminated through a signal intensity difference algorithm, and a de-noising coordinate set is generated. The closed-loop calibration module corrects scanning angle offset and earth surface reflection weight parameters through a three-level check link, the environment adaptation module triggers an ultrasonic multi-frequency cleaning program to maintain optical performance, and the cooperative control unit adjusts the light supplementing intensity and the data fusion proportion in a linkage mode. Accurate identification of personnel tracks and multi-working-plane dynamic management and control in a complex environment are realized.

The invention discloses a dynamic electrocardiogram early warning system based on artificial intelligence, which relates to the technical field of medical health monitoring, and comprises a model building module, a threshold setting module, an early warning threshold setting module based on the baseline model, a threshold adjusting module, and a dynamic electrocardiogram early warning module based on the real-time activity state of the user. And dynamically adjusting the early warning threshold. By dynamically adjusting the early warning threshold value, daily activity changes of the user can be better adapted, unnecessary false alarm and missing alarm are reduced, the early warning reliability and the user experience are improved, in addition, a dynamic threshold value adjusting mechanism can also capture the influence of user emotion fluctuation on physiological indexes, and the user experience is improved for high-intensity motion and static states. The early warning threshold can be relaxed and tightened respectively, the sensitivity and accuracy of early warning are ensured, and the intelligent level of early warning monitoring is further improved.

The invention discloses a wireless audio frequency band conflict avoidance method in a high-density and high-intensity electromagnetic environment, and the method comprises the steps: monitoring the signal intensity, the frequency band occupation condition and an interference source in the electromagnetic environment in real time, and carrying out the measurement of the signal intensity through a spectrum analyzer or a radio frequency detector; intelligent prediction and dynamic sensing are performed on the spectrum occupation condition by combining a machine learning algorithm, so that the frequency band of audio signal transmission is adjusted in real time, and the current idle frequency band with less interference is dynamically selected for audio transmission based on a spectrum sensing result, so that the conflict with the frequency bands of other equipment is avoided. Through the intelligent spectrum sensing technology, the spectrum use condition in the electromagnetic environment is monitored in real time, frequency band conflicts and interference sources can be efficiently and accurately found, smooth audio data transmission is ensured, transmission delay caused by the frequency band conflicts can be effectively reduced through dynamic frequency band selection and a rapid switching mechanism, and the low delay requirement of real-time audio transmission is ensured.

A pulsed laser source device configured to a plurality of Fabry Perot resonant cavities. The pulsed laser source device provides a frequency, a wavelength, and a phase, each of which is matched with a plurality of laser beams configured, respectively, with the plurality of Fabry Perot resonant cavities to generate a high intensity beam for laser fusion.

The invention relates to the technical field of lens testing, and discloses a multifunctional optical lens testing lens device which comprises a connecting frame. A casing; a lens body; the positioning assembly is used for fixing the position when the lens body is detected; the detection assembly is used for carrying out multidirectional detection on the lens body; the detection assembly comprises an air pressure detection part, an impact detection part and a vibration detection part; and a driving assembly. According to the multifunctional optical lens testing lens device, multi-direction detection of the lens can be realized through the arranged detection assembly, and multi-direction synchronous detection in vibration, impact, air tightness, waterproofness and high-temperature environments is realized, so that each detection is in a linked state, the detection effect of the lens in different high-complexity environments is improved, and the detection efficiency is improved. And the whole detection process is carried out in one device, and single position conversion is not needed, so that a high-intensity environment is provided for the test of the lens, and the stability of the lens is finally detected.

The invention discloses a concept for improved position and orientation determination of a plurality of objects each marked with at least one optoelectronically detectable marker, in which holographic optical elements are introduced into two-dimensional flat markers, at which ambient light is reflected back with sufficiently high intensity even at high scattering angles relative to the surface normal of the two-dimensional flat markers.For this purpose, it is proposed to detect light reflected by holographic optical elements (HOE; 21, 22, 23) applied to the markers (20) in an optoelectronic sensor (32) and to generate a two-dimensional reflection image, and to detect, in an image processing device (34), on the basis of the spectrally resolved local intensity distribution of the two-dimensional reflection image detected by the optoelectronic sensor (32), differences between the reflection behavior of the optoelectronically detectable markers (20) of the current position and orientation of the plurality of objects (100; 200) and the reflection behavior of the optoelectronically detectable markers (20) in a reference configuration of the plurality of objects (100; 200), and to detect deviations in the overall configuration of the plurality of objects (100; 200) relative to the optoelectronic detection device (30) by evaluating the detected differences. determine.

The application discloses a microstructure lens and glasses, comprising: a lens body having an optical center; the first microstructure unit is connected with the lens body, the first microstructure unit surrounds the optical center, and the geometric center of the first microstructure unit coincides with the optical center; the plurality of second microstructure units are connected with the lens body, and the plurality of second microstructure units are arranged around the first microstructure unit; the geometric center of any one of the plurality of second microstructure units does not coincide with the geometric center of the first microstructure unit, and the geometric centers of any two of the plurality of second microstructure units do not coincide. According to the micro-structure spectacle lens, the first micro-structure unit and the second micro-structure unit have the function of not focusing light on the retina, and the eccentric asymmetric layout can introduce stimulation signal micro-fluctuation of the micro-structure area on the surface of the lens, so that the time of a high-intensity stimulation effect can be kept; and the durability of the lens in intervening the refractive error development is improved.

The invention relates to the technical field of light control, in particular to a runway light control system, which comprises a light state monitoring module used for acquiring the on-off state and the brightness level of each light according to the current running state of the light, comparing the on-off state and the brightness level of all the lights with the lowest brightness threshold in a region, and determining the brightness of the light; and screening the light with the brightness lower than a threshold value and the position of the light, and generating regional brightness state information. According to the runway light control system, the adaptability and energy efficiency of the runway light control system are improved by monitoring the light state in real time and dynamically adjusting light output according to the environment change information. Meanwhile, the light brightness is allowed to be adjusted, it is ensured that necessary illumination can be provided under various weather conditions, and meanwhile energy consumption is reduced. By comparing the real-time brightness of each lamp with the set minimum brightness threshold, light with insufficient brightness can be identified and adjusted, and comprehensive and unnecessary high-intensity illumination is avoided.

A fingerprint biometric key generation method based on scale invariance and a deep neural network. The object is small sample data, and fingerprint image signal processing knowledge is combined with deep neural network feature stability; fingerprint features are further stabilized at feature values by means of layer-by-layer processing of a deep neural network; and finally, a normal fingerprint image high-intensity key sequence is generated by means of a fingerprint key fuzzy extractor. A high-intensity stable fingerprint biometric key can be directly extracted from a human fingerprint small sample by means of processing such as scale invariant feature conversion and deep neural network re-encoding, and fingerprint image signal processing knowledge is combined with deep neural network feature stability to better support generation of a small sample fingerprint biometric key, thereby significantly reducing the false recognition rate during fingerprint biometric key generation.

The invention provides a focused ultrasound tissue fragmentation system and a use method, and belongs to the technical field of medical instruments. The system comprises a transmitting-receiving integrated focusing ultrasonic probe, a multi-degree-of-freedom moving device and a tissue fragmentation work station. The system acquires an image of a region of interest through the image acquisition device, adjusts the position of the focused ultrasound probe by using the multi-degree-of-freedom moving device, receives and processes the image by the tissue fragmentation workstation, controls the focused ultrasound probe to emit pulses, generates cavitation bubble cloud in a cavitation region, positions the cavitation region, and cavitates tissues in the region of interest. According to the system, the high-intensity focused ultrasound multichannel phased array probe is adopted, the problems of reflection and refraction of ultrasound in tissue can be solved, a focus is accurately focused on a tissue fragmentation area, accurate treatment of target tissue is achieved, and the treatment effect and safety are improved.

The invention discloses an intelligent groundwater storage variable prediction system based on multi-source data fusion and parameter optimization, and relates to the technical field of groundwater storage change prediction, and the system comprises a data collection module, a hydrological sensor connected with the Internet of Things, a satellite remote sensing data interface and a meteorological data interface. According to the intelligent groundwater storage variable prediction system based on multi-source data fusion and parameter optimization, the problem of prediction time lag caused by data updating lag, data spatial-temporal scale inconsistency and parameter stiffness of a groundwater storage change evaluation system is solved by constructing a double-circulation collaborative architecture of a real-time assimilation ring and a parameter evolution ring. High-frequency assimilation is used for fusing multi-source real-time data, and it is ensured that model input is synchronous with a real environment state; the prediction system continuously tracks the transient process of an underground water system, and the timeliness and reliability of underground water storage volume change prediction under the scenes of extreme rainfall, extreme drought, high-intensity mining and the like are effectively improved.

The present invention discloses a high-intensity magnetic bit extension rod with a telescopic unlocking function, belonging to the field of electric tool technologies, and specifically including a connecting rod sleeve, a magnet, and a connecting rod handle, where a tool bit sleeve configured to connect a tool bit is disposed at a front end of the connecting rod sleeve, a slidable limiting tubing is disposed at a rear end of the connecting rod sleeve, the magnet is disposed at a front end of the connecting rod handle, and a partition structure or / and a magnetic conduction structure is / are further disposed between the magnet and a bottom of the tool bit sleeve; and the connecting rod sleeve and the slidable limiting tubing are synchronously axially slidable relative to the connecting rod handle and the magnet. In the present invention, in a process of replacing the bit, the magnet may be driven to the position away from the bit in a sliding manner and kept at the position by the positioning structure. In this way, an operator can easily insert and remove the bit with one hand. The slidable limiting tubing of the present invention is located at the rear end of the connecting rod sleeve, so that the diameter of the magnet inside the connecting rod sleeve can be made as large as possible to increase a magnetic attraction capability, and an outer diameter of the front end of the connecting rod sleeve can be reduced to facilitate use in a small space.

A high-intensity focused ultrasound generator according to the present invention has a plurality of transducers mounted to respective transducer holders and the transducer holders detachably coupled to an ultrasonic radiation frame, and thus allows easy replacement and repair of the transducers in a separate manner, and further, by sealing between the inner surface of the transducer holder and the transducer by means of the adhesion of a flexible glue, leakage may be prevented, and the front surface of the transducer is not blocked by the glue, and thus loss of ultrasonic energy generated forward from the front surface of the transducer may be prevented and efficiency may be enhanced.

The invention discloses a lightweight transmission and loading optimization method for cloud rendering of a high-precision three-dimensional model, belongs to the technical field of network transmission, and aims to solve the problems of large data volume, high transmission delay and slow loading of cloud rendering of the high-precision three-dimensional model. Carrying out importance evaluation on the rendering primitives, constructing a feature matrix and a weight vector, and determining important data points through matrix multiplication; important data points are subjected to lightweight coding and preferential transmission, and non-important data points are subjected to high-strength compression or delayed transmission. At the client side, client importance re-evaluation is carried out on received rendering data blocks, a client feature matrix and a weight vector are constructed, high-priority loading data are determined through matrix multiplication, and decoding, loading and rendering are preferentially carried out. According to the invention, lightweight transmission and rapid loading of the high-precision three-dimensional model are realized, and the user experience and the resource utilization efficiency are remarkably improved.

The invention relates to the technical field of semantic processing and knowledge maps, and provides an AI-based intelligent question-answering method and system, and the method comprises the steps: collecting a knowledge map of an intelligent question-answering library, and obtaining an inquiry text of a user; performing word segmentation on the inquiry text to obtain a plurality of vocabularies; obtaining a reply design scale of the inquiry text; determining the number of analysis queues and establishing a plurality of analysis channels; obtaining the semantic intensity of each marked vocabulary and obtaining a high-intensity semantic vocabulary sequence; quantizing the analysis contribution of each mark vocabulary at each moment and the initial analysis limit at each moment, and further obtaining the buffer semantic integrity retention degree at each moment; judging and establishing a buffer space in real time, adjusting an analysis process, and finally outputting a semantic weight of each vocabulary; and screening a plurality of core vocabularies, obtaining a relation path in combination with the knowledge graph, and further generating a reply text. The invention aims to solve the problem that semantic weight acquisition is inaccurate due to word order interference in text keyword analysis.

The invention discloses a wide-temperature-range high-strength light eutectic high-entropy alloy and a preparation method thereof, belongs to the technical field of metal materials, and provides a corresponding preparation method, and the atomic percent expression of the eutectic high-entropy alloy is NiaFebAlcTidCre. The eutectic high-entropy alloy prepared by the invention not only has excellent mechanical properties at room temperature and high temperature, but also does not contain noble metal elements and refractory metal elements; the method can realize triple beneficial effects of improving the mechanical property of the eutectic high-entropy alloy, reducing the weight and reducing the cost, widens the engineering application range of the eutectic high-entropy alloy, and has a wide industrial application scene.

The invention discloses an intelligent management system and method applied to smelting equipment, and relates to the technical field of smelting, in-furnace infrared imaging detection is carried out on a reaction tower of a flash furnace in real time, a real-time temperature distribution image in the furnace is obtained, and region division is carried out; according to the real-time temperature condition of the area, the area with the abnormally high temperature is determined; hot spot analysis and adhering slag falling analysis are carried out on the area with the abnormally high temperature, and the reason of the phenomenon of abnormally high temperature is identified; if the reason of the abnormally high phenomenon is that the adhering slag falls off, controlling the change of the raw material components and the heat load at the same time, and accelerating the forming of the adhering slag; active intervention adjustment is adopted, the reaction speed is high, efficiency is high, the slag adhering process can be quickly intervened by directly adjusting ingredients, the relative position of a concentrate nozzle and an air adjusting cone, the cooling water amount of a copper water jacket and the like, the slag adhering period can be greatly shortened, and therefore scouring erosion of high-strength reaction to a reaction tower body is reduced, and the safety of refractory bricks and the water jacket is guaranteed; and the intrinsic safety of the metallurgical furnace is improved.

The invention discloses an approaching rainfall forecasting method and system based on attention mechanism and frequency domain fusion, and belongs to the technical field of weather forecast, and the method comprises the steps: constructing a radar echo sequence sample data set; constructing an approaching rainfall forecasting model; a radar echo sequence sample data set is adopted to train an approaching rainfall forecasting model; and performing radar echo data prediction by adopting the trained approaching rainfall forecasting model, and converting the radar echo data into rainfall data so as to realize rainfall forecasting. According to the method, the generation and elimination evolution rule of the radar echo can be effectively reflected, the forecasting accuracy of the high-intensity value of the radar echo is improved, the situation that a previous model is insufficient in severe convection forecasting accuracy is effectively improved, and the method has great significance in effectively preventing various losses caused by severe convection weather.

Described herein are high intensity illumination systems including lighting arrays of lights, such as light emitting diodes, configured to illuminate a surface. The lighting arrays are configured to illuminate the surface with illumination comparable to or multiple times brighter than the ambient illumination, such as sunlight. Also described herein are methods of using a high intensity illumination system to illuminate a surface for applications including imaging, object detection, and object localization. The systems and methods described herein may be applied to a range of industries including farming, agriculture, construction, and autonomous vehicles.

The invention provides an optical communication method and a communication device, and the method provides a scheme which can reduce the influence of multi-path interference (MPI) on a transmission signal in an optical fiber system in a low-cost mode. The method comprises the steps that a transmitting device transmits a transmission signal generated by the transmitting device based on pulse amplitude modulation-N to a receiving device, the intensity distribution of the transmission signal comprises N intensity values, and the N intensity values correspond to N-1 intensity difference values. The strength difference value corresponding to the high strength value in the N strength values is higher than the strength difference value corresponding to the low strength value. The transmission signal can be an optical signal or an electric signal. By changing the intensity distribution rule of the transmission signal, the intensity difference value corresponding to the high intensity value is higher than the intensity difference value corresponding to the low intensity value, so that the tolerance of the transmission signal to the MPI noise can be effectively improved, and the influence of the MPI in the optical fiber system on the transmission signal can be further reduced in a low-cost manner.

The invention relates to the technical field of digestive endoscopes, in particular to a digestive endoscopy simulation device which comprises a base, and four sets of supporting legs used for supporting the device are fixedly connected to the bottom of the base; the device further comprises a first simulation bin, the middle position of the top of the first simulation bin is provided with a stomach simulation area for digestive endoscopy practice, and a first empty groove for installing a cleaning device is formed in the position, located on one side of the stomach simulation area, of the top of the first simulation bin. A second empty groove is formed in the top of the first simulation bin and located on the other side of the stomach simulation area, at the moment, the contact positions of a first scraper and a second scraper with the stomach simulation area are controlled through mutual adjustment of a second hydraulic oil cylinder and a third hydraulic oil cylinder, the interior of the stomach simulation area can be cleaned and scraped, manual work is not needed, and the working efficiency is improved. High-intensity cleaning can be effectively carried out on the interior of the stomach simulation area, the health of the internal environment of the simulation device is kept, and the service life of the device is prolonged.

Various implementations include a light bar system for a steering wheel of a vehicle that includes a high intensity light source, a light diffusing layer, and an outer lens. For example, in certain implementations, the light diffusing layer is disposed between a plurality of high intensity light emitting diodes (LEDs) and an outer lens, and the light diffusing layer causes the light from the LEDs to appear as a continuous stream of light across a length of the lens and provides sufficiently bright lighting to warn or communicate with the driver in various ambient lighting conditions. In certain implementations, the outer lens is colored to blend in with the rest of the steering wheel when the LEDs are not activated.

The invention provides a light generating system (1000) comprising: (i) a first set (1100) comprising n1 first light generating devices (110), (ii) a first optical element (410), and (iii) a luminescent body (200), wherein:—the n1 first light generating devices (110) are configured to generate first device light (111); wherein the n1 first light generating devices (110) may be selected from the group of lasers and superluminescent diodes;—the first set (1100) comprises k1 first subsets (1115) of each at least one first light generating device (110) of the n1 first light generating devices (110), wherein n1≥3. especially n1≥5, and 2≤k1≤n1:—the luminescent body (200) is configured to: (i) convert part of the first device light (111) into luminescent material light (211), and (ii) transmit part of the first device light (111):—the n1 first light generating devices (110) and the first optical element (410) are configured to provide first beams (115) of first device light (111) to the luminescent body (200), wherein two or more first beams (115) of two or more first light generating devices (110) of the k1 first subsets (1115) have different first angles of incidence (α1) relative to a normal to the luminescent body (200); and—in an operational mode of the light generating system (1000) a first intensity of the first device light (111) of the k1 first subsets (1115) is dependent upon the first angles of incidence (α1).

In an example. the present invention provides an airplane or aerospace vehicle system configured with a high intensity pulse laser generation system.

The invention relates to a mine micro-seismic event time sequence prediction method, in particular to a mine micro-seismic event time sequence prediction method based on a KF-LSTM-BO network, and the method comprises the following steps: firstly, performing logarithm processing on time-space intensity data to enhance autocorrelation; meanwhile, in order to reduce the influence of accidental high-strength micro-seismic events on the data and reduce the difference between the data, a maximum and minimum value normalization method is adopted for normalization. In order to enhance the prediction effect of the irregular data, a KF filter is adopted to carry out de-noising reprocessing on the processed data. In consideration of inconvenience of manual parameter adjustment and high degree of dependence on deep learning knowledge, Bayesian optimization is introduced to perform hyper-parameter automatic adjustment and optimization on the KF-LSTM. According to the invention, the monitoring data can be acquired in real time for prediction, the safety of mining operation is improved, the production safety is ensured, and casualties are reduced at the same time.

The utility model relates to the technical field of cutting pick cylindrical drills, and discloses a cutting pick cylindrical drill with a function of preventing cutting picks from falling off, which comprises a cylindrical body, a connecting piece is fixedly connected to the top of the cylindrical body, a fixing piece is fixedly connected to the bottom of the cylindrical body, a connecting shaft is arranged in the fixing piece, a drill bit is fixedly connected to the bottom of the connecting shaft, and the drill bit is fixedly connected to the bottom of the connecting shaft. And a handle is slidably connected into the fixing part, a clamping assembly is arranged on the middle side of the outer wall of the handle and used for fixing the connecting shaft, and locking assemblies are arranged on the two sides of the outer wall of the handle and used for locking the handle. According to the utility model, the problem that the falling risk of the cutting pick is increased due to the fact that the cutting pick cylinder drill is easy to cause gradual loosening of a fixing device in high strength and long time is solved, and the purposes of preventing the cutting pick from loosening or falling off in high-strength work and reducing the potential safety hazard in the operation process are achieved, so that the construction quality and precision are improved.