13 results about "Uniform field" patented technology

The application provides a magnetic field adjusting system and method, which comprises a measuring probe, a first-stage coil, a second-stage coil and a PID control system, wherein the second-stage coil is distributed on both sides of a uniform field area inside the first-stage coil, and the second-stage coil has a higher order than the first-stage coil; the measuring probe is arranged in a preset magnetic field adjusting area of the first-stage coil to measure the magnetic field information of the first-stage coil and the second-stage coil, or the measuring probe measures the magnetic field information of the first-stage coil and the second-stage coil and sends the information to the PID control system; and the PID control system adjusts the magnetic field of the second-stage coil based on the received magnetic field information to compensate the magnetic field of the first-stage coil. The measuring probe measures the magnetic field information of the first-stage coil and the second-stage coil, so that the PID control system can determine the current acting on the corresponding first-stage coil and second-stage coil according to the measured magnetic field information, thereby realizing real-time adjustment of the magnetic field.

Two push rod type linear stepping motors in the device are arranged at the two ends of a guide rail through L-shaped push rods, carrying tables are arranged above the L-shaped push rods, telescopic rotating motors are arranged on the carrying tables respectively, the telescopic rotating motors are vertically connected with magnet plates, and the magnet plates are arranged on the carrying tables. A third telescopic rotating motor is arranged at the rear end of one magnet plate, a vertical guide rail groove and a transverse guide rail groove are formed in one magnet plate, and the control module is connected with all the motors. According to the invention, the high gradient magnetic field advantage of the panel Halbach array is utilized, the precise control capability of the motor is combined, the automatic uniform field and gradient field conversion function of the device is utilized, and a microscope with an image acquisition function is matched, so that the degree of phagocytosis of magnetic particles by cells is automatically observed, and multiple sets of magnetic field devices do not need to be additionally arranged; the cell activity can be effectively protected, and the magnetic field application requirements in the fields of biomedical detection, analysis detection and the like are met.

The application discloses a method and a program product for automatically generating a three-dimensional geological finite element model, which determines a horizontal reference surface based on the maximum height difference of the ground surface, determines a first grid size and a second grid size based on a shear wave velocity, and then comprehensively determines the number of ground surface part grids and divides hexahedral units; according to the first grid size, equally divides a base part into horizontal slices with the same height, and determines the grid size of the horizontal slices in combination with a corrected minimum shear wave velocity; according to the grid size and thickness requirement, combines adjacent horizontal slices to obtain a final rock layer division scheme, and then comprehensively determines the number of rock layer grids and divides the rock layer into hexahedral units; and according to the three-dimensional center coordinates of each hexahedral unit, compares the three-dimensional center coordinates with an original geological model, and sets the stratum category of the hexahedral unit. The application greatly reduces the modeling time and cost of a three-dimensional non-uniform field finite element model of a complex terrain, has high grid quality, and is beneficial to the application of the three-dimensional geological model in the simulation and analysis of earthquake disasters.

The invention discloses a method and a device for calibrating a vector alternating magnetometer. The method mainly comprises the following steps of: placing the calibrated alternating magnetometer in a uniform field of a standard alternating magnetic field; establishing a relation equation set between the three-axis output of the calibrated magnetometer under the ideal condition and the three-axis output under the actual condition; the three-axis output values of the calibrated magnetometer under various attitudes are collected, the positive and negative directions of the three-axis output values are judged at the same time, unknown numbers in an equation set are fitted by adopting a least square method, and the unknown numbers comprise three-axis magnetoelectric conversion coefficients, orthogonality, zero offset and other parameters of the vector magnetometer. According to the method, the orthogonal degree measurement level and measurement efficiency of the alternating magnetometer can be effectively improved, and key parameters such as a magnetoelectric conversion coefficient, the orthogonal degree and zero offset can be obtained at the same time; compared with accurate measuring equipment such as a non-magnetic rotary table, the polyhedral measuring clamp is low in processing cost, small in required space, simple to operate and easy to operate.

The invention discloses an infrared thermal imaging array real-time optimization method based on an AI model, relates to the technical field of infrared imaging optimization, and is used for solving the problem that a real-time image optimization path is not clear. According to the method, a frame-level state vector and a region-level feature set are used as input, a region-level module activation mask is dynamically generated, exposure time, a dynamic range mapping curve and a confidence coefficient identifier are output through an AI model, parameter gating and backspacing are carried out under the constraints of a frame rate, delay and power consumption, and a region-level module activation mask is obtained. Non-uniformity correction, motion compensation space-time noise reduction and detail enhancement are selectively executed according to regions, a processing path and an image quality index are recorded, then non-interrupted self-supervised fine tuning is triggered under an approximate field-averaging condition, a fixed pattern noise template and related parameters are updated, and the image quality is improved. Therefore, key area priority and low-value area early exit are realized, redundancy calculation is reduced, infrared imaging contrast and dynamic range utilization rate are improved, and temperature measurement consistency and long-term stability in multiple scenes are enhanced.

The application discloses a kind of based on edge computing's mine roadway deformation data real-time analysis system, it is related to intelligent sensing and data analysis fusion technical field, including data acquisition module, roadway deformation initial data is collected by sensor, adopts finite element analysis method to simulate deformation field evolution process, obtain non-uniform field distribution characteristics and potential blind area redundant position, feature extraction module, from non-uniform field distribution characteristics extraction key stress distribution parameter, if parameter exceeds preset threshold, then mark as risk concentration area, determine monitoring position candidate set, signal quality evaluation module, for monitoring position candidate set, obtain the signal-to-noise ratio and integrity data quality index of sensor signal, priority grouping is carried out to monitoring point by clustering algorithm, obtain dynamic priority evaluation result;The based on edge computing's mine roadway deformation data real-time analysis system, realizes the intelligent, real-time and high reliability of mine roadway deformation monitoring.

The invention relates to the technical field of electromagnetic excitation, discloses an array electromagnetic excitation system capable of adaptively adjusting spatial magnetic field intensity, and aims to solve the problems of non-uniform field distribution, inflexible parameter regulation and control and weak scene adaptability of a traditional electromagnetic excitation system. According to the system, a technical system of'multi-parameter independent regulation and control-adaptive power matching-reconfigurable array collaborative optimization 'is constructed, a distributed intelligent control architecture of'DDS + FPGA + AI algorithms' is adopted, and independent adjustment of electromagnetic parameters of an excitation source is realized in combination with a frequency-band power amplification and dynamic impedance matching technology; a reconfigurable coil array driven by piezoelectricity is matched with a multi-physical field monitoring closed loop of a Hall sensor array and a temperature / stress sensor, and the distribution uniformity of an electromagnetic field is adjusted in combination with a field-structure collaborative optimization algorithm. According to the invention, the energy transmission efficiency and scene adaptability can be improved, and high-precision adjustment of electromagnetic excitation is realized.

Disclosed methods include placing a semiconductor wafer containing MRAM devices into a first magnetic field that has a magnitude sufficient to magnetically polarize MRAM bits and has a substantially uniform field strength and direction over the entire area of the wafer. The method further includes placing the wafer in a second magnetic field having an opposite field direction, a substantially uniform field strength and direction over the entire area of the wafer, and magnitude less than a design threshold for MRAM bit magnetization reversal. The method further includes determining a presence of malfunctioning MRAM bits by determining that such malfunctioning MRAM bits have a magnetic polarization that was reversed due to exposure to the second magnetic field. Malfunctioning MRAM bits may further be characterized by electrically reading data bits, or by using a chip probe to read one or more of voltage, current, resistances, etc., of the MRAM devices.

The application discloses a kind of based on flat Halbach array's magnetophoresis device and method, two push rod type linear stepping motors in device are set in guide rail two ends by L type push rod, L type push rod top is equipped with stage, the telescopic rotary motor is respectively arranged on the stage, telescopic rotary motor vertically connects magnet plate, third telescopic rotary motor is arranged in rear end of one of magnet plate, vertical guide rail groove and horizontal guide rail groove are equipped on one of magnet plate, control module is connected with each motor.The application utilizes the high gradient magnetic field advantage of flat Halbach array, combines the accurate control ability of motor, utilizes the automatic uniform field and gradient field conversion function of device, cooperates with the microscope with image acquisition function, realizes the observation of degree of automatic cell phagocytosis magnetic particle, does not need to additionally equip multiple sets of magnetic field device, it is convenient to operate and can effectively protect cell activity, adapts biomedical detection, analysis detection and other multi-field magnetic field application needs.

According to the biplane DC-RF compound field driving coil system for the optical pump magnetometer, the complexity, noise and volume of the system are reduced and the measurement sensitivity and integration degree are improved by unifying the geometric configuration and differential parameters of the biplane, and particularly, the high-frequency magnetic field distortion and frequency dispersion effect in a magnetic shielding environment are optimized. Specifically, the problems of insufficient magnetic field uniformity, enhanced electromagnetic interference and RF magnetic field distortion in a large-volume area caused by non-uniform coil configuration in the traditional design are solved, so that the high uniformity of the magnetic field is realized, and the space utilization rate and the signal quality of a system are improved, and the system is characterized by comprising a standard coil unit and a radio frequency coil unit, the standard coil unit and the radio frequency coil unit both adopt a biplanar coil configuration after simulation optimization, the biplanar coil comprises a left planar coil and a right planar coil, and the left planar coil and the right planar coil are parallel, coaxially and symmetrically arranged on the two sides of a target area and used for generating and compensating a shimming magnetic field.

This invention discloses a compact inductive thermal imaging detection device and testing method for fatigue cracks in steel structures, belonging to the field of mechanical engineering technology. It includes: a data processing terminal, an infrared thermal imaging module, a controller, a uniform field magnetization device, and a steel structure specimen. Firstly, by eliminating the water-cooling system and adopting a magnetic yoke focusing design, this invention achieves overall lightweight and compact design, making it truly suitable for various field environments. Secondly, the adjustable distance of the magnetic yoke base allows a single probe to adapt to various complex geometries, overcoming the limitations of cumbersome coil replacement in traditional methods and improving versatility and economy. Thirdly, the optimized magnetic field distribution ensures effective and uniform heating of the detection area with low power consumption. Finally, the device, combined with a standardized thermal image sequence analysis algorithm, provides a solution for rapid detection of surface defects in metallic materials, successfully engineering and practicalizing high-sensitivity laboratory inductive thermal imaging technology.

The invention discloses a multifunctional environment monitor integrating temperature, humidity and sound level calibration and a calibration method. The monitor comprises a reconfigurable modular bearing platform, a data sensing module, a closed and uniform field generation module, an embedded metering reference module, a state sensing module and a calibration control module. According to the calibration method, the state sensing module is used for judging that the environment condition meets a preset threshold value and then is automatically triggered, the control platform is folded into a closed cavity, a uniform temperature and humidity field and a sound field are generated in the closed cavity, and an embedded metering standard is activated to provide a traceable reference value. Then, the data sensing module collects data, the calibration control module calculates a new calibration coefficient of each sensor, a standard deviation is calculated through a verification test, and after the standard deviation is compared with a preset threshold value, whether calibration reaches the standard or not is automatically judged. According to the invention, in-situ, full-automatic and traceable calibration of the monitor is realized, and the long-term reliability and comparability of environmental monitoring data are improved.

The embodiment of the invention provides a vehicle network interaction resource cooperative scheduling method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the dimension reduction representation of the key feature of the current state of each agent for each agent participating in resource distribution, and generating a global field average quantity based on the dimension reduction representation, the global field averaging quantity is a global statistical characteristic of dimension reduction representation of key characteristics of current states of all agents; and based on the current local observation information and the global field-averaging quantity of each agent, determining an optimal resource scheduling strategy of the vehicle network interaction multi-type resources meeting the field-averaging self-consistent condition and the preset distributed constraint of each agent through a reinforcement learning method. According to the method and the device, the overall resource scheduling and allocation of the system can be realized under the condition of ensuring the data security, the complexity is reduced, and the resource allocation efficiency and accuracy are improved.