22results about How to "Capture in time" patented technology

The invention belongs to the field of wireless communication, and particularly relates to a wireless signal multi-dimensional array coding method and system based on dynamic rank optimization. The method comprises the following steps: detecting state information of a wireless channel, predicting state change of the channel by using a pre-trained deep learning model, and generating a dynamic optimization multiplier; adjusting a preset static optimization multiplier by using the dynamic optimization multiplier, constructing a target function for jointly optimizing the energy efficiency and the spectrum efficiency, and determining an optimal transmission rank by solving the target function; comparing the optimal transmission rank with the current transmission rank to determine a rank-up or rank-down operation; and reconstructing a transmission signal of the wireless channel according to a result of the rank increasing or decreasing operation. According to the method, the optimization target is dynamically adjusted by predicting the channel change, and the asymmetric ascending and descending rank algorithm is adopted, so that the adaptive transmission rank optimization in a complex time-varying channel environment is realized, and the communication performance is remarkably improved.

The invention discloses a xanthene nitroreductase-responsive fluorescent dye compound as well as a preparation method and application thereof, and belongs to the technical field of xanthene derivatives. The fluorescent dye compound can be used for quickly and specifically recognizing overexpressed nitroreductase in tumor cells; after the fluorescent probe acts with nitroreductase, the fluorescence intensity of the fluorescent probe at 718 nm is obviously enhanced, and the fluorescent probe has excellent targeting capability on mitochondria; meanwhile, under the excitation of illumination with the specific wavelength of 660 nm, an acting product of the fluorescent dye compound and nitroreductase can efficiently generate reactive oxygen species (ROS), and then the effect of specifically killing tumor cells is achieved. The xanthene nitroreductase response type fluorescent dye compound provided by the invention can achieve the goal of integration of diagnosis and treatment of solid tumors, and has important clinical application value.

The utility model discloses online sampling and detecting equipment for water pollutants, relates to the technical field of water pollutant detection, solves the technical problem that sampling, detecting and washing cannot be automatically and repeatedly carried out in the existing technical scheme, and comprises a main vehicle body, a mounting frame is fixedly mounted on the upper wall surface of the vehicle body, and a detecting pipe is fixedly mounted on the mounting frame; the detection pipe is a vertical pipe, a detection laser transmitter is arranged at the upper end in the detection pipe, and a detection laser receiver is fixedly mounted at the lower end of the detection pipe. According to the utility model, the unique control valve is matched with a sampling and flushing structure, so that the automatic switching of water samples and the automatic flushing of the detection pipe can be realized; water sample residues and cross contamination are effectively avoided, and the accuracy and representativeness of detection data are greatly improved; the device integrates a controller and a touch screen, operation can be completed conveniently in a touch mode, multiple sampling detection modes are supported, manual guarding is not needed, and the device is suitable for long-time unmanned online monitoring in various water environments.

This invention relates to the field of nonlinear node detection technology, and particularly to a nonlinear electronic node concealment detection system based on S-band harmonic fingerprinting. The system includes: acquiring fundamental and second harmonic echo signals from multiple detection nodes within the detection area in the S-band to ensure a sufficient data source for the entire detection process; constructing harmonic excitation response features and generating a fingerprint database to improve the accuracy and targeting of subsequent node identification; dynamically capturing the node's current characteristic information by transmitting S-band frequency sweep detection signals and collecting echo harmonic components to extract real-time fingerprints, enhancing the timeliness of node detection; identifying matching concealed electronic nodes by performing multi-dimensional time-series correlation matching between real-time harmonic fingerprints and fingerprints in the fingerprint database, effectively filtering out irrelevant interference; and generating a topology map and marking abnormal nodes, enabling users to quickly grasp the overall situation and rapidly locate anomalies.

The utility model discloses a pulse damper, and relates to the technical field of pulse dampers. The pulse damper comprises a pulse damper body, one side of the top and the bottom of the pulse damper body are communicated with connecting pipelines, two fixing bases are detachably installed on the pulse damper body, an upper protective shell is detachably installed on the upper side of the pulse damper body, and a lower protective shell is detachably installed on the lower side of the pulse damper body. A lower protective shell is detachably mounted on the underground side of the pulse damper body; the fixed base comprises a fixed lantern ring, two rotating rings are rotationally matched with the fixed lantern ring, and a plurality of protruding blocks are installed on the two opposite outer sides of the two rotating rings. Through the detachable design of the fixed base, the upper protective shell and the lower protective shell, during installation, assembly of all components can be completed step by step, special tools are not needed, and the site construction difficulty is reduced; and in the operation and maintenance stage, the protection parts can be rapidly disassembled, the shutdown maintenance time is greatly shortened, and the operation and maintenance efficiency of the whole life cycle of the equipment is improved.

The utility model belongs to concrete crack detection technical field, and disclose concrete crack detection marking surveying and mapping ruler, including the upper end surface fixed of surveying and mapping ruler body is equipped with length sensor, the lower extreme of length sensor is equipped with inner groove, and surveying and mapping ruler body is fixed in inner groove inside, the upper end surface middle fixed of length sensor is equipped with length display screen, the both sides of length sensor's upper end surface are all fixedly installed and are equipped with adjusting device, through length sensor, length display screen and inner groove, utilize them can connect surveying and mapping ruler to length sensor, by length sensor control surveying and mapping ruler carries out length measurement, can improve concrete crack measurement precision, realize real -time, automatic monitoring and remote data transmission, also convenient data record analysis, can timely capture crack dynamic change, provide strong basis for structure safety evaluation and maintenance decision, reduce artificial error and workload.

This invention relates to the field of levee management technology, and more particularly to a method for identifying levee hazards based on multi-source data fusion. The method includes dividing the levee structure into multiple monitoring and control sections according to hydrogeological units, and deploying multi-level sensor arrays within each control section; real-time acquisition of spatiotemporal sequence data from each sensor array to construct a field parameter functional including displacement, strain, seepage pressure, and temperature fields; extracting the strain energy spectrum entropy value of the field parameter functional through spatiotemporal singular value decomposition to reflect the disorder of energy distribution in the levee body; calculating the coupling degree index based on the stress-seepage coupling constitutive equation to characterize the soil-water interaction intensity; and inputting the strain energy spectrum entropy value, the coupling degree index, and a pre-determined hydrodynamic load correction factor into the levee structure analysis model to obtain the levee safety and reliability. This method can improve the comprehensiveness, timeliness, and accuracy of levee hazard identification.

The application discloses a kind of low-power consumption self-organizing network water quality multi-parameter monitoring sensor systems, it is related to hydrological monitoring technical field.The system includes multi-parameter perception module (integrates 6 water quality index detection, probe covers super-hydrophobic-antibacterial coating), low-power consumption control module (using STM32L496 microcontroller, realizes periodic low-power consumption operation), adaptive communication module (support LoRaWAN / ZigBee protocol switching and Mesh multi-hop networking) and energy supplement module (solar energy+high capacity battery).By intelligent sampling scheduling, routing optimization algorithm and edge computing preprocessing, the multi-parameter real-time monitoring of endurance 6-12 months, coverage radius 1-3 kilometers is realized, and water quality anomaly can be quickly responded.The application is applicable to watershed, city water body and the like scene, greatly reduces maintenance cost, and improves monitoring timeliness and coverage range.

The application discloses an advertisement click rate prediction system, comprising a data acquisition module for real-time acquisition of user behavior data, attribute data, context data and biological characteristic signal data; a multi-modal feature extraction module for extracting multiple feature vectors; a dynamic feature fusion module for dynamically weighting and fusing multi-modal features through an adaptive attention fusion network; a graph neural network coding module for coding a heterogeneous graph structure to generate a graph embedding feature vector; an adaptive routing prediction module for dynamically selecting an expert subnetwork through a router network for prediction; a real-time feedback calibration module for online parameter updating based on real click feedback and generating a calibration signal; and a multi-objective optimization decision module for outputting an advertisement recommendation list based on multi-objective optimization. The application realizes accurate prediction and intelligent decision through adaptive routing and multi-objective optimization, and significantly improves the accuracy and scene adaptability of advertisement click rate prediction.

This invention discloses an energy metering box with an intelligent monitoring system, belonging to the technical field of energy metering boxes. It includes a box body, double doors, a mounting box, and a mounting slot. The mounting slot houses air quality detection components, temperature and humidity detection components, and control components, as well as an intelligent monitoring system. This system includes modules for air quality detection, temperature and humidity detection, signal processing, data comparison, and anomaly early warning. The data comparison module employs a dynamic calibration threshold and multi-parameter fusion comparison mechanism, combining historical data and operating conditions to determine the environmental status. The system also includes a synchronization trigger unit, a signal shielding module, and a differential transmission circuit to ensure data acquisition synchronization and anti-interference capabilities. This solution solves the problems of traditional energy metering boxes lacking effective environmental monitoring, easily affected metering accuracy, and insufficient reliability of similar monitoring solutions. It achieves accurate monitoring of the internal environment and timely early warning of anomalies, improving the operational stability and safety of the energy metering box.

This invention belongs to the technical field of computer-aided design and simulation, and relates to a method and system for calculating the leakage of hydraulic facilities by integrating multi-source data. The method includes: receiving raw sensor time-series signals and reconstructing a multi-dimensional time evolution trajectory in a local phase space; extracting the dynamic deviation at abrupt changes and encoding it as a hydraulic transient characteristic tensor; performing singular value decomposition on the tensor using a discrete fractured mesh model to extract the feature spectrum; when it matches the critical deformation matrix, activating the nonlinear turbulence equation to rewrite the state parameters and outputting the pressure head distribution; calculating the simulated entropy yield based on the flow field gradient characteristics and thermodynamic laws; if it is less than a compliance threshold, generating a channel mask array to shield abnormal data sources; if the threshold is met, calculating the facility leakage. This invention solves the problem that insufficient fusion depth between the physical model and multi-source monitoring data leads to limitations in the reliability and real-time response of leakage calculation under complex operating conditions.

This application relates to the technical field of slope dynamic assessment, and in particular to a slope stability dynamic assessment method based on Ward hierarchical clustering-Markov chain. The method includes obtaining a standardized data matrix, calculating objective weights, and generating a comprehensive evaluation score sequence; clustering the comprehensive evaluation score sequence into multiple stability level clusters; constructing an initial judgment interval, generating continuous boundary points, and then refining the initial judgment interval into a judgment threshold interval; mapping the comprehensive evaluation score sequence to a discrete state sequence based on the judgment threshold interval, and constructing state transition probability matrices for each state; determining the time to be predicted, extracting the state transition probabilities of each historical time step at the corresponding step size from the state transition probability matrix, performing weighted aggregation, and using the stability level corresponding to the maximum aggregation probability as the dynamic assessment prediction result of the slope. This application can overcome the early warning lag caused by the long-period smoothing effect and achieve transient prediction.

The application provides a lens module and a laser cutting head, and relates to the field of laser cutting. The lens module comprises a working lens module, a fixed support seat and a temperature field detection module; a temperature sensing surface of the temperature field detection module is arranged towards the working lens module, and the temperature field detection module is configured to monitor the temperature of the working lens. Based on the lens module provided by the application, the application further provides a laser cutting head, wherein the first protective lens module, the collimating lens module, the focusing lens module and the second protective lens module are sequentially arranged in the axial direction of the laser cutting head; and the second protective lens module is close to the nozzle of the laser cutting head. The lens module and the laser cutting head provided by the application can realize the monitoring and feedback of the lens temperature based on the reasonable arrangement of the temperature field detection module, thereby enhancing the safety and reliability of the product, improving the user experience, and assisting data analysis and optimization.

The present application relates to the technical field of finite element simulation analysis, and specifically discloses a large bearing capacity earthquake-temperature self-adaptive viscous damper and a simulation calculation method, which comprises the following steps: S1: establishing a three-dimensional solid model of a temperature deformation joint and a viscous damper with a stiffness adjusting valve; S2: obtaining a finite element model of the three-dimensional solid model; S3: obtaining a critical speed and a load working condition speed of the viscous damper, and establishing a multi-state self-adaptive stiffness adjusting model of the viscous damper based on the ratio of the load working condition speed to the critical speed; S4: obtaining a time difference value of the stiffness adjusting valve from the start of closing to the complete closing, and establishing a virtual displacement quantification model; S5: adding the multi-state self-adaptive stiffness adjusting model and the virtual displacement quantification model to the finite element model; and S6: performing mechanical simulation analysis on the finite element model. The present application can accurately simulate the complex mechanical behavior of the damper under the conditions of multi-state switching, virtual displacement effect and bidirectional earthquake reciprocating action.

A rumor detection method based on information propagation structure is proposed. This method constructs a tweet propagation tree from social network data according to retweet relationships. The propagation tree is then converted into a user retweet subgraph using a node replacement strategy, and a global user retweet network is constructed by merging nodes and edge attributes. The local and global structural features of the user retweet network are extracted using the "Depth-Walk Spanning Tree" algorithm and the WL algorithm, respectively, and these two are concatenated to obtain a complete structural encoding. Simultaneously, a pre-trained large language model is used to extract tweet content features to obtain content encoding. Algorithms such as Laplacian matrix and affinity ranking are used to calculate positional encoding information on the user retweet network. These encodings are then concatenated and input into a Graph Transformer model to capture the correlation between various features and the authenticity of the propagated tweets. Finally, an MLP classifier is used to determine whether a tweet is a rumor. This provides an efficient and reliable solution for rumor detection in social networks.

The invention discloses a distributed photovoltaic prediction method and system driven by multiple electric parameters and a medium, in the method, decoupling learning of a meteorological power sequence and an electric parameter sequence is realized by adopting a dual-channel long-short-term memory network structure, and the problem of heterogeneous data feature extraction is solved; an attention mechanism is introduced to carry out dynamic fusion on dual-channel features, so that the model can automatically identify and focus on time sequence features most related to power prediction, and especially abnormal changes of electrical parameters can be captured in time when power grid disturbance occurs. Different from a traditional prediction thought which only depends on meteorological data, the electrical parameters are used as important driving factors of prediction, the prediction performance is improved, and the method has obvious advantages especially under the condition of power grid disturbance.

The utility model discloses a kind of spraying devices for steel structural member production, including connecting shell, the modular mechanical arm is set in the connecting shell inside bottom end, further including the three-way adjusting mechanism being set on modular mechanical arm, the spraying mechanism is set in the front end of three-way adjusting mechanism, a kind of spraying device for steel structural member production, by spray head, centrifugal fan, flexible baffle and negative pressure recovery air duct, ensure that stable negative pressure field is formed before coating atomization, timely capture atomized particle, prevent paint mist from spreading to workshop environment, reduce the risk that operator inhales paint mist, simultaneously avoid the explosion hidden danger caused by flammable gas accumulation in workshop, cooperate primary filter device and paint mist separation equipment, solvent-based coating after separation can be recycled, water-based paint can be treated and discharged up to standard, reduce hazardous waste disposal quantity, reduce environmental protection compliance cost, efficiently recover splashed coating, reduce material loss.

This invention provides a method and system for differential interferometry of alien celestial bodies, comprising: collaborative observation using an alien system composed of multiple satellites, all satellites adhering to the principle of common origin design to ensure coherence; orbital formation design for the alien system to shorten the effective revisit period; establishing a differential deformation error sensitivity model for the alien system to identify and quantify the main error sources; accurately estimating and compensating for key system errors based on the error sensitivity model; and finally, establishing and solving the deformation model of the alien differential system after error compensation to obtain high-precision surface deformation information. This invention also provides a system for executing this method. This invention significantly improves the timeliness of deformation monitoring through multi-satellite collaboration and ensures measurement accuracy through systematic error processing, making it suitable for scenarios such as emergency response and long-term dynamic monitoring.

The application discloses an ultrasonic dust removal device and a screen printing equipment, which are used for removing the impurities on the surface of a silicon wafer on a conveying belt of the screen printing equipment. The ultrasonic dust removal device comprises an ultrasonic air knife, the ultrasonic air knife comprises a first end and a second end, the first end is provided with an air outlet, the air outlet is arranged towards the conveying belt, the ultrasonic air knife is arranged obliquely, along the conveying direction of the conveying belt, the ultrasonic air knife gradually moves away from the conveying belt from the first end to the second end, and a dust collector is arranged upstream of the ultrasonic air knife along the conveying direction of the conveying belt, and the dust collector is used for adsorbing the impurities stripped by the ultrasonic air knife. The high-frequency vibration and cavitation effect of the ultrasonic air knife can improve the removal capacity of the micro-particles, avoids scratching the surface of the silicon wafer, the dust collector prevents the impurities from spreading in the working environment, the effective removal of the impurities on the surface of the silicon wafer reduces the abrasion of the printing screen caused by the impurities, reduces the probability of occurrence of the bad phenomenon, thereby prolongs the service life of the printing screen and improves the production efficiency.

This invention discloses a home-based sleep quality optimization aid for patients with chronic diseases, relating to the field of sleep assistance technology. It includes an adjustment controller and a wire. One end of the wire is fitted with an earplug, and the other end of the earplug is fitted with a rubber sleeve. An elastic strip is provided on the outer circumference of the earplug for conforming to the patient's concha. A detection component for detecting the patient's sleep state and a stimulation component for optimizing the patient's sleep quality are located on one side of the elastic strip. The stimulation component includes an outer sleeve fixedly connected to the elastic strip, an inner sleeve fixedly connected inside the outer sleeve, and a first electrode disposed inside the outer sleeve. This invention can effectively improve sleep problems such as difficulty falling asleep, frequent awakenings at night, and insufficient deep sleep duration in this population, breaking the vicious cycle of poor sleep quality and slow recovery, effectively optimizing the home-based sleep quality of patients with chronic diseases, and aiding in physical recovery.

The invention discloses a real-time monitoring and early warning method and device for an electrochemical energy storage power station. The method comprises the following steps: acquiring multi-parameter time sequence data; carrying out fusion analysis and state prediction on the data; establishing and online updating a self-adaptive safety threshold value of each parameter; matching the real-time observation sequence with a pre-constructed multi-mode fault evolution knowledge graph to obtain a mode matching confidence coefficient; predicting the probability that the battery is in a dangerous state in the future, and taking the probability as state prediction confidence; calculating the standard exceeding amplitude and duration of the current parameter value relative to the safety threshold, and obtaining threshold standard exceeding confidence; carrying out weighted fusion on the mode matching confidence coefficient, the state prediction confidence coefficient and the threshold exceeding confidence coefficient, and calculating to obtain a comprehensive risk confidence coefficient; and according to the comprehensive risk confidence, triggering an early warning signal and an emergency response measure of a corresponding level. According to the invention, the safety of the energy storage power station is effectively improved, the stable operation of the energy storage power station is ensured, and the accuracy, robustness and adaptability of early warning are improved.

The application belongs to the technical field of underwater robot visual perception, edge computing and target detection, and discloses an underwater target automatic identification method and system based on an improved YOLO algorithm, wherein the post-processing speed is greatly improved, an INT8 domain pre-confidence screening mechanism filters more than 90% of background candidate boxes, the time consumption ratio of post-processing is reduced from more than 30% of the traditional to less than 10%, and the overall operation speed of the application is significantly improved. The application has good real-time performance, a multi-thread parallel inference pipeline architecture fully utilizes the heterogeneous computing power of RK3588S, hides single-frame inference delay, realizes stable real-time detection frame rate of 15-25 FPS under 1280*720 resolution, and can timely capture fast-moving underwater targets. The application has high integration, realizes deep integration of the identification application and technologies such as mechanical grabbing and autonomous return, forms a full-autonomous operation closed loop of identification-positioning-grabbing, and the autonomous decision rate is more than 90%, thereby greatly reducing the dependence on manual operation.