43results about How to "Accurate acquisition" patented technology

This invention relates to a method and system for automated generation of TSN network configurations based on a reflective agent. The system comprises a network state perception and intent reflection module, a YANG model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state perception and intent reflection module is responsible for structurally perceiving network state and resource information. The YANG model configuration parameter and structure decision module integrates multi-source knowledge and contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs syntax and semantic verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment automation capability of TSN network configuration by introducing reflective reasoning and feedback optimization techniques.

This invention relates to the technical field of circuit breaker analysis, specifically to an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification. The system includes: a current analysis module for analyzing changes in current data of the circuit breaker at various monitoring times to obtain multiple opening and closing current characteristic indices; a temperature analysis module for analyzing changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices; an identification module for identifying at least one first index and at least one second index; a consistency analysis module for analyzing the consistency between the data sequences corresponding to the first index and the data sequences corresponding to the second index to obtain multiple time-related indices; and an opening / closing determination module for determining the monitoring time indicated by the current data corresponding to the largest time-related index as the opening / closing time of the circuit breaker. This invention enables accurate acquisition of the opening and closing time of the circuit breaker.

This invention provides a comprehensive control method for the coaxiality of the wind tunnel loop, belonging to the field of wind tunnel construction technology. This invention calculates thermal deformation in real time by establishing a coupled temperature field and deformation field finite element model, and dynamically adjusts the density of measuring points using a three-layer multi-scale iterative leveling method to achieve efficient and accurate measurement. It uses the Jacobian mapping matrix and matrix pseudo-inverse operation to solve the optimal support point adjustment amount, and introduces a torque sensor and hydraulic jack in the corner section to form a closed-loop control system to dynamically balance the torsion angle. This solves the technical problem of the difficulty in achieving full-scale accurate coaxiality control of the wind tunnel loop under the coupling effect of multiple physical fields.

This utility model discloses an explosion-proof low-temperature evaporator, comprising: a frame and an evaporator tank, a condenser, an air-cooled condenser, a heat pump, and a PLC controller mounted on the frame, all installed inside the frame. The evaporator tank is equipped with a heat exchange device to heat and evaporate the waste liquid, and the condenser is connected to the evaporator tank to condense the steam. Simultaneously, the air-cooled condenser cools the high-temperature, high-pressure refrigerant discharged from the heat exchange device and delivers the refrigerant to the condenser. The heat pump then receives the refrigerant flowing from the condenser, heats and pressurizes it, and then delivers it to the heat exchange device. A pressure sensor is installed in the pipeline, and the PLC controller is connected to the pressure sensor and the heat pump, controlling the start and stop of the heat pump based on the pressure data. This utility model can reduce the water content of residual concentrated waste liquid and reduce the safety hazard of explosions caused by high pressure in the evaporator.

This invention provides a fact-verification method and system based on retrieval enhancement and contrastive argument synthesis, belonging to the field of large language model technology. The method involves: acquiring the statement to be verified; encoding the statement to be verified and statements in the training set using a pre-trained embedding model and calculating cosine similarity; selecting the k statements with the highest similarity as context examples; initially screening a portion of the document set; then re-ranking the initially screened documents using a dense retrieval model, selecting the m most relevant documents; and using a large language model to extract both supporting and rebuttal arguments from the selected m most relevant documents. These extracted arguments are then combined with the statement to be verified and the context examples to guide the large language model in predicting and interpreting the veracity of the statement to be verified. This invention provides the model with rich semantic information through context examples, enhancing its adaptability in different domains, generating high-quality explanations, and improving the transparency of the results.

This utility model discloses a cigarette overprinting deviation detection device and a cigarette overprinting machine. The cigarette overprinting deviation detection device includes an overprinting disk arranged on one side of the overprinting roller and a barcode scanning component disposed around the overprinting disk. The overprinting disk is coaxial with the overprinting roller and has a marking area arranged along the rotation direction of the overprinting disk. Multiple markings are arranged in the marking area. The barcode scanning component photographs the markings in the marking area when the overprinting roller drives the overprinting disk to rotate, in order to determine the lateral deviation value during the overprinting process. This utility model detects the markings on the overprinting disk by setting up an overprinting disk and a barcode scanning component to determine the lateral deviation value during the overprinting process. Then, when a lateral deviation value occurs, the machine is stopped for maintenance and adjustment. This allows for timely detection of the lateral deviation value during the cigarette overprinting process, thereby avoiding abnormal product loss and reducing production costs.

The application relates to the technical field of optical measurement, in particular to a linear absolute position measurement method and device based on a single code channel coding structure. The method comprises the following steps: when a product is powered on, a code channel gray scale image is acquired based on a linear array CMOS, a code channel binary image is acquired based on the code channel gray scale image, and a first position is determined based on the code channel binary image; wherein the first position is determined based on the code channel binary image specifically comprises the following steps: a second code channel area is determined; when there is an uncontaminated second code channel area, the first position is determined based on the uncontaminated second code channel area; and when there is no uncontaminated second code channel area, the first position is determined based on a unified strategy of all second code channels. The method can accurately acquire the first position only when a small number of second code channel areas are not contaminated, greatly improves the contamination resistance, and can quickly and accurately acquire a current actual position during product operation.

This invention discloses a method for an application server to obtain configuration data in a mission-critical service system. The method involves generating and updating initial configuration data, basic configuration data, and user configuration data through a configuration management system. The basic configuration data and the initial configuration data, which includes database system information and user configuration read identifiers, are sent to the application server. The application server establishes a connection with the database system based on the database system information. It determines whether to retrieve user configuration data based on the user configuration read-on-demand identifier. If the identifier is "yes," user configuration data is not retrieved, but the connection between the application server and the database system is maintained. If the identifier is "no," all user configuration data is retrieved from the database system at once, and the connection with the database system is no longer maintained. Each business sub-module is started using the basic configuration data. The database system is used for storing and accessing configuration data.

The application relates to the technical field of electromagnetic measurement, and provides a hybrid magnetic array current sensor and a construction method. The hybrid magnetic array current sensor comprises a TMR array unit, a quantum current sensing unit, a data acquisition unit and a data fusion unit. The TMR array unit is used for converting sensed current magnetic field changes into electric signals to obtain first current data. The quantum current sensing unit is used for converting sensed quantum state signal changes into electric signals to obtain second current data. The data acquisition unit is used for acquiring the temperature of the TMR array and the output voltage of the TMR array under a reference magnetic field corresponding to the temperature. The data fusion unit is used for obtaining a sensitivity drift coefficient based on the temperature of the TMR array and the output voltage of the TMR array under the reference magnetic field corresponding to the temperature. The first current data is compensated according to the sensitivity drift coefficient to obtain compensated first current data. The compensated first current data and the second current data are fused to obtain fused current data.

The utility model provides a kind of robot and shoe processing system for shoe shaping, it is related to shoe processing technical field.The robot includes rotary drive component, vision system and two manipulators, rotary drive component transmission connection has mounting seat, and the rotation axis of rotary drive component is consistent with vertical;Two manipulators are located in the two sides opposite of mounting seat;Vision system includes three cameras, one of which is provided in mounting seat, and the other two cameras are one-to-one corresponding provided in the end region of two manipulators.The shoe processing system includes the above-mentioned robot, shoe press, controller and shoe rack for placing shoe tree, robot is arranged between shoe press and shoe rack, and the manipulator and vision system of robot are all connected to controller.The robot identifies the model and orientation of shoe tree, and the orientation accuracy of the manipulator clamping shoe tree, adjusting its orientation and placing it in the orientation accuracy of shoe press processing station is higher, so as to improve the shaping processing accuracy of shoes.

This application relates to the field of temperature detection technology, specifically to a method, device, and system for detecting the temperature of cable joints in power distribution networks. The method includes: periodically transmitting excitation pulses at a preset carrier frequency to the cable joint to acquire all original surface acoustic wave (SAW) signals contained within a preset measurement period; calculating the waveform distortion value of each original SAW signal to determine a first interference degree characterizing multipath signal superposition interference; calculating the frequency offset of each original SAW signal to determine a second interference degree characterizing mechanical stress interference; determining the interference coefficient of the measurement period to dynamically set the decision threshold of a decision feedback equalizer, thereby equalizing the original SAW signals to obtain the equalized SAW signal, and calculating the temperature of the cable joint. This application can significantly improve the accuracy and reliability of cable joint temperature detection.

A safety production task-driven system includes a remote processing unit, an edge processing unit, a personal task monitoring unit, and an alert unit. The remote processing unit receives data from the edge signal receiving unit, analyzes and processes the data, and also issues task information. The edge processing unit receives data from the personal task monitoring unit within its corresponding area and transmits it to the remote processing unit. The personal task monitoring unit receives tasks and monitors the status and location of personnel during task processing in real time. The alert unit receives instructions from the remote processing unit and issues alerts. This invention can monitor the heart rate, blood pressure, body temperature, and other physical conditions of personnel performing tasks in real time during production tasks, and can also locate personnel in real time, thereby ensuring both production efficiency and safety.

The utility model relates to the technical field of goods sorting, in particular to an automatic goods picking robot which comprises an industrial robot body, a plurality of sets of goods storage plates are arranged on one side of the industrial robot body, a goods carrying plate is arranged on the other side of the industrial robot body, a rotatable rotating disc, a supporting plate and a sliding plate connected in a sliding mode are arranged on the goods carrying plate, and a clamping plate is installed on one side of the sliding plate. In the working process, the goods storage plate conveying belt conveys goods under driving of the motors, and the multiple sets of motors are matched with the threaded rods and the guide rods to achieve accurate clamping and carrying of the goods through the clamping plates. According to the automatic goods picking robot, the goods are driven to rotate in the mode that the first motor drives the rotary table to rotate, so that the goods identification is adjusted to be in the direction right facing scanning equipment or operators, and the goods are automatically picked. The method has the advantages that the labor cost is reduced, and the warehouse logistics information processing accuracy is improved.

This invention discloses a method and apparatus for identifying road changes using remote sensing imagery. The method includes: acquiring new and old remote sensing images of unlabeled roads; cropping the remote sensing images; comparing the cropped road images; inputting the compared road change images into a deep learning model for self-supervised training to obtain a pre-trained model; training the pre-trained model using labeled road remote sensing images to obtain a classification and recognition model; and inputting the desired road change images into the classification and recognition model by transferring the parameters of the self-supervised model to obtain the road change results. The method provided by this invention can intelligently identify road changes by eliminating the need for manual labeling, achieving high efficiency, and reducing costs, thus enabling efficient monitoring and dynamic supervision of road changes. This provides technical and data support for promoting traffic road maintenance and optimization, and implementing road hazard detection and remediation.

The utility model discloses a heavy load assembly line with weighing function belongs to heavy load assembly line technical field, include: base, the shape of base is rectangle, roller line, roller line is located the top of base, just has the weighing sensor between roller line and base, wherein, when material is transported to the roller line, the weighing sensor carries out the weighing, the utility model discloses in the process of transmission material, the weight of material is measured, reduces the time of back and forth carrying weighing, improves the efficiency of packing line.

This application belongs to the fields of big data and fintech, and relates to a data display method, including: receiving a scanning operation of a customer's QR code triggered by a client on a display screen; if the customer's QR code is valid, performing customer data association processing on the user based on a customer verification page to generate a display task corresponding to the user; submitting the display task to a server corresponding to the display screen to display a policy display QR code on the display screen; receiving a scanning operation of the display QR code triggered by the user; obtaining the user's target policy information from the server; and displaying the target policy information on the client. This application also provides a data display device, computer equipment, and storage medium. Furthermore, the target policy information of this application can be stored in a blockchain. This application can be applied to policy information display scenarios in the financial field, effectively improving the efficiency and intelligence of policy information retrieval.

This utility model discloses a rotary biopsy needle, relating to the field of medical devices, comprising an outer needle and a sampling needle. One end of the outer needle has a sampling port on its sidewall, and the other end is connected to a needle base. A sampling needle is slidably inserted into the outer needle, and the rotating rod of the sampling needle passes through the needle base. An embedding hole is formed inside the needle base. One end of the sampling needle is connected to a sliding cylinder, which is slidably inserted into the embedding hole. A bending groove is formed on one side of the inner wall of the embedding hole, and a protrusion is formed on one side of the outer wall of the sliding cylinder, which is slidably connected inside the bending groove. This utility model simplifies the structure of the biopsy needle by eliminating complex rotating components such as motors, reducers, and transmission parts, thereby significantly reducing manufacturing costs. This design makes the biopsy needle more suitable for single use, effectively avoiding the risk of cross-infection and improving the safety and hygiene standards of medical procedures.

This invention provides a method and system for taking over autonomous driving in vehicles. The method includes the following steps: identifying the driver's fatigue level based on real-time acquired facial images; outputting corresponding reminders based on the driver's fatigue level, and selecting between maintaining vehicle operation through autonomous driving or controlling the vehicle to pull over through autonomous driving. This invention can provide safety reminders while automatically activating different levels of autonomous driving functions, effectively reducing vehicle safety accidents caused by sudden health issues of the driver.

The utility model relates to the technical field of damper inner tube, and disclose a kind of measuring device for damper inner tube production, including base, the top of base is fixedly connected with mounting bracket, and the outer wall of mounting bracket is provided with control display.The measuring device for damper inner tube production is provided with through-hole, pull rod, measuring plate, displacement sensor, mounting cylinder, sliding slot, spring, sliding block and long rod, and the operator makes measuring plate move up by single hand pulling pull rod, and the other hand places damper inner tube on base, then loosens pull rod, and measuring plate can be quickly moved down and adhere to inner tube surface under the spring reset effect, and the outer diameter data is accurately obtained by displacement sensor, the device greatly simplifies measurement process, significantly improves measurement efficiency, is especially suitable for the rapid detection in damper inner tube batch production scene, effectively solves the problem of long time consumption and low efficiency of prior art, so that operator can quickly obtain accurate outer diameter data.

The application provides a service condition-based indentation prediction method for mechanical properties of a hydrogen conveying pipeline in service, hydrogen permeation testing is performed on the pipeline after sample processing in a hydrogen environment, steady-state hydrogen permeation flux and effective hydrogen diffusion coefficient of the hydrogen conveying pipeline material to be tested are obtained, a finite element model is established based on the steady-state hydrogen permeation flux and the effective hydrogen diffusion coefficient of the hydrogen conveying pipeline material, and the mechanical properties of the pipeline are predicted based on the adjusted parameters for hydrogen environment mechanical testing on the tensile sample and the fracture toughness sample; indentation testing is performed on the pipeline by using the indentation method to obtain the mechanical properties of the pipeline, the actual mechanical properties of the pipeline can be obtained based on the predicted mechanical properties of the pipeline and the mechanical properties of the pipeline obtained by the indentation testing, the mechanical property parameters of the pipeline can be quickly and accurately obtained, the mechanical properties of the hydrogen conveying pipeline to be tested in the actual service environment can be truly reflected, the prediction result is closer to the real data, and the method has engineering practicability.

This invention provides a method, device, and computer storage medium for obtaining cerebrovascular function compensation indicators. The method includes: acquiring four-dimensional image data of a subject's brain, including dynamic magnetic susceptibility contrast-enhanced MRI data or CT perfusion imaging data; inputting the four-dimensional image data into a physical information neural network model, which outputs cerebrovascular function compensation indicators, including cerebrovascular reactivity as a first indicator and oxygen extraction fraction as a second indicator; wherein the physical information neural network model includes a compensation mapping component, which generates the first and second indicators and introduces a nonlinear inverse proportional relationship to correct the first and second indicators. This invention provides a safe, efficient, accurate, and comprehensive method for obtaining cerebrovascular function compensation indicators.

The present application belongs to the technical field of bio-agriculture, and particularly relates to a SV molecular marker related to leaf branch number trait of Gossypium hirsutum and application thereof. The present application provides a SV molecular marker related to leaf branch number trait of Gossypium hirsutum, and designs primers and detection kits as shown in SEQ ID NO. 1-SEQ ID NO. 3 according to the SV molecular marker, so that the prediction and screening of the leaf branch number trait of Gossypium hirsutum can be realized, and a scientific basis is provided for cultivating Gossypium hirsutum with different leaf branch types. In addition, the technical scheme provided by the present application does not need to consider the growth period and tissue type of cotton during the detection process, and does not need to perform field phenotype investigation, so that the genotype information of the sample can be accurately and quickly obtained, which is beneficial to accelerating the germplasm innovation of cotton ideal plant type and improving the breeding efficiency.

This invention discloses a method, control method, and device for identifying laminar flow separation bubbles at the trailing edge of an airfoil. By deploying pressure sensors on the trailing edge face of the airfoil and utilizing the characteristic that the face pressure equivalently represents the pressure on the upper surface of the trailing edge, this invention achieves accurate and effective acquisition of pressure data in the key monitoring area of ​​the laminar flow separation bubble at the trailing edge, providing a reliable data foundation for bubble identification. Simultaneously, this method determines real-time peak frequency data based on the acquired pressure data and identifies laminar flow separation bubbles by combining the time stability judgment condition of the peak frequency of the trailing edge face pressure signal under low Reynolds number and small angle of attack conditions. Based on the physical law of the invariance of the peak frequency of the trailing edge pressure at low Reynolds number, a specific bubble identification criterion is constructed, providing accurate and real-time judgment basis for subsequent closed-loop control of the laminar flow separation bubble at the trailing edge of the airfoil.

The utility model relates to medical nursing technical field, concretely is a kind of infusion sensing system fixed mounting structure of supporting multi-device monitoring, including main part, the inside of main part is provided with monitoring component, the monitoring component includes wire slot one, infrared inductor, condenser inductor, recess, transparent observation window, miniature camera module, wire slot one is set up in the bottom inner wall of main part, the top of wire slot one is fixedly connected with infrared inductor. This kind of infusion sensing system fixed mounting structure of supporting multi-device monitoring, by adding monitoring component, infrared inductor, condenser inductor and miniature camera module work together, monitor infusion condition from different angles, can more comprehensive, accurately obtain infusion information, improve the accuracy of detection, communication module can transmit monitoring information to multiple devices, medical staff can real-time understand infusion condition at different locations, timely handle exception, improve work efficiency and nursing quality.

This invention relates to the field of data analysis technology, and discloses a method, device, electronic device, and storage medium for analyzing human squatting behavior on a toilet. The method includes: performing a Fast Fourier Transform on millimeter-wave radar echo signals to obtain a range-Doppler image; extracting the posture point cloud features and range-Doppler features of the human target in the range-Doppler image; performing height analysis on the human target based on the posture point cloud features to obtain sitting height thresholds and standing height thresholds, and identifying candidate sitting and standing behaviors; and performing probability discrimination of squatting behavior on the human target based on the candidate sitting and standing behaviors, posture point cloud features, and range-Doppler features to obtain the squatting behavior recognition result. By implementing signal processing, feature extraction, height analysis, and squatting behavior discrimination of millimeter-wave radar signals, this invention can improve the accuracy of human squatting behavior analysis while ensuring the privacy of human behavior analysis.

The application discloses a method and system for unmanned vehicle to identify traffic signs under extreme weather, wherein the method comprises the following steps: acquiring a traffic sign image to be identified under extreme weather; the extreme weather refers to rainy and snowy weather or fog and haze weather; for the rainy and snowy weather, the traffic sign image to be identified is subjected to rainy and snowy preprocessing; for the fog and haze weather, the traffic sign image to be identified is subjected to fog and haze preprocessing; and the preprocessed image is subjected to identification by using a trained traffic sign identification model to obtain an identified traffic sign.

The utility model discloses a fault sample rotary mining device of automatic positioning, including the casing, the inside slide of casing is provided with the slide cylinder, the bottom of slide cylinder is provided with hollow mining head, the inside screw thread cooperation of slide cylinder is provided with the rotary rod who rotates, the bottom of rotary rod is provided with the conical rotary mining head who extends to the inside of hollow mining head, the outer conical surface of conical rotary mining head is provided with spiral groove, the collection cavity who is in communication with spiral groove is provided between rotary rod and slide cylinder, the outlet is provided on the lateral wall of collection cavity and casing, the top of casing is built -in with GPS locator, the utility model discloses can break open the soil layer in advance and then to the soil sample and carry out the rotary mining, effectively prolongs the service life of the collection part, and simultaneously can be positioned automatically in the collection process, and the actual geographic coordinate of collection sample is matched.

The application provides a method and device for measuring the depth of underwater concrete spalling defects, and relates to the technical field of concrete detection. The method comprises the following steps: obtaining an optical image and a sonar image of the spalling defects on the surface of the target underwater concrete; extracting the boundary contour of the spalling defects in the optical image and performing circular or approximately circular equivalent fitting; extracting the acoustic response area corresponding to the spalling defects in the sonar image and performing elliptical fitting; calculating the interval result of the ratio of the depth to the equivalent radius; and calculating the depth interval of the spalling defects. The application fuses two different types of information, i.e. the optical image and the sonar image, overcomes the limitations of a single image in reflecting the characteristics of underwater concrete spalling defects, and through circular or approximately circular equivalent fitting and elliptical fitting, the depth interval of the spalling defects is obtained, which provides a more reasonable reference range for engineering decision-making and has higher practical value.