1120 results about "Target range" patented technology

The invention provides an automobile magnesium alloy pre-twin crystal deformation data analysis system, and relates to the technical field of data processing, and the system comprises a twin crystal correction module which is provided with a first target monitoring point and a second target monitoring point in a pre-twin crystal area, the first target monitoring point is located at a crystal boundary intersection, and the second target monitoring point is located at the center of a twin crystal zone; acquiring orientation difference angle and strain energy density difference data of the two monitoring points in real time, calculating a covariance matrix of change characteristics of the two monitoring points, and correcting a proliferation rate parameter and an orientation rotation parameter in the dynamic evolution matrix according to a correlation coefficient of the covariance matrix to obtain a corrected dynamic evolution matrix; and the optimization module is used for adjusting a hot extrusion process parameter group according to the twin crystal density gradient distribution output by the corrected dynamic evolution matrix, the parameter group comprises a mold temperature, an extrusion speed and a strain path, and the twin crystal density is dynamically controlled in a target interval. According to the invention, the complex stress state of the automobile part under the actual working condition can be accurately simulated.

The invention provides a small target identification method and system based on YOLOv5, and the method comprises the steps: collecting a multi-scale image in a target range, and forming an original data set; performing image enhancement on the original data set through superpixel segmentation and adversarial enhancement operation to obtain an enhanced data set; performing multi-scale frequency domain aliasing enhancement on the enhanced data set through frequency domain decomposition and frequency band exchange operation to obtain a to-be-detected data set; improving the YOLOv5 model to obtain a small target recognition model; and performing small target identification on the to-be-detected data set through the small target identification model to obtain an identification result. According to the method, small target recognition is realized through the dynamic feature pyramid and the double-path detection head in combination with cross-level kernel sharing and a space-frequency double-domain attention mechanism, the problem of detail loss caused by a traditional static feature pyramid is solved, the recognition precision is improved, and the false detection rate is reduced.

The present disclosure discloses a non-motor vehicle recognition method and system based on a multi-sensor collaboration and relates to the technical field of intelligent transportation. The method includes: constructing a sensor group based on a plurality of sensors, and performing a data collection based on a target range through the sensor group to generate a multi-class regional dataset; transmitting the multi-class regional dataset to a data fusion channel to generate an initial fusion dataset; synchronizing the initial fusion dataset to a data preprocessing unit to perform preprocessing to generate a target fusion dataset; utilizing a feature extraction unit to traverse the target fusion dataset to perform a feature extraction of a target non-motor vehicle, and generating a target feature information set; and constructing a target recognition unit, and intelligently recognizing the target fusion dataset through the target recognition unit.

The invention discloses a casting density optimization system and method based on cooperative regulation and control of molding sand moisture and clay blue absorption amount, and relates to the technical field of casting control. According to the method, a self-cleaning wear-resistant alloy probe is used for synchronously collecting a molding sand high-frequency eddy current signal and a multi-spectrum near-infrared signal in the sand mixing process; inputting a pre-training support vector machine regression signal fusion model to obtain a real-time moisture content and a clay blue absorption amount; a preset density target threshold value is combined, a density-molding sand parameter association database is inquired to determine a parameter target interval, a regulation and control instruction is generated after a deviation value is calculated, and a water adding device and a clay conveying device are controlled to adjust the use amount; the density of the casting after regulation and control is detected, if the density does not reach the standard, model output weight iteration optimization is corrected until the density reaches the standard, the system comprises a detection module, a signal processing module, a regulation and control execution module, a density detection and correction module and a central control module, closed-loop control is achieved, and the density stability of the casting is improved.

The invention relates to the technical field of soil detection and multi-source information fusion, in particular to a soil moisture content cooperative detection method and system.The method comprises the steps that a target area is determined, and a target thermal infrared image of surface soil of the target area is obtained; extracting target characteristic parameters related to the moisture content from the target thermal infrared image, inputting the target characteristic parameters into the trained BP neural network, and predicting to obtain a surface soil moisture content distribution diagram; based on the surface soil moisture content distribution diagram, determining a target range region with abnormal moisture content through threshold comparison; after the air coupling stepping radar is driven to be aligned with the thermal infrared imaging system in a space-time mode, scanning is conducted in a target range area, and a radar reflection coefficient extracted from an obtained radar image and phase difference information serve as radar characteristic parameters; and performing modeling analysis on the radar characteristic parameters based on a support vector regression (SVR) model, and obtaining soil profile moisture content distribution of the moisture content abnormal region by constructing a nonlinear mapping relation and optimizing model hyper-parameter inversion.

A method for evaluating a welding quality of a weld seam with which the end sections of conductor elements are welded to one another by irradiating their end faces. The method includes capturing an image of the end faces and dividing the image into a first subset of pixels whose intensity levels are greater than a specified intensity level threshold value and into a second subset of pixels whose intensity levels are less than or equal to the intensity level threshold value. The method includes assessing the welding quality of the weld seam based on a comparison of a number and / or position of the pixels of the first subset and / or of the second subset with a pixel target value of a number and / or a pixel target range of a position of pixels of the first subset and / or of the second subset that correspond to a weld seam of desired quality.

The invention discloses an intelligent anesthesia monitoring and regulation system, and relates to the technical field of medical monitoring and automatic control. The system comprises a data acquisition and preprocessing module, a dynamic physiological model construction module, an anesthesia state evaluation and prediction module, a real-time uncertainty quantification module and a layered hybrid closed-loop regulation and control module. The layered mixed closed-loop regulation and control module is used for predicting the change track of the anesthesia depth under different administration strategies in a few minutes in the future through a dynamic physiological model, and calculating an optimal administration rate sequence which can maintain the anesthesia depth in a target range and can minimize the drug dosage and blood pressure fluctuation through online optimization, so as to obtain the optimal administration rate sequence. The confidence score is referenced when controlling the administration rate. The system can realize highly personalized anesthesia monitoring and regulation and control, and has the advantages of quantifiability, high reliability, stable operation, accurate regulation and control and the like.

The invention provides an indoor positioning method and system based on vision, geomagnetism and inertial navigation, and the method comprises the steps: obtaining inertial navigation data, and determining a local region where a target object is located in an indoor space according to the inertial navigation data; wherein the inertial navigation data is obtained by a positioning device carried by a target object; obtaining a visual image of the local area, and determining the position of the target object in a pre-constructed spatial model according to the visual image to obtain a first position; determining a target range according to the first position, and simulating an environment magnetic field around the target object under the condition that the magnetic disturbance object exists in the target range; real-time magnetic field data is obtained, the real-time magnetic field data is obtained through measurement of magnetic field measurement equipment carried by the target object, the real-time magnetic field data is matched with the environment magnetic field, the specific position of the target object in the local area is determined, and a second position is obtained. According to the invention, multiple positioning technologies are fused, and the indoor positioning accuracy can be further improved.

The invention discloses a target range federated cross-domain threat research and judgment method and system, and aims to solve the problems of difficulty in cross-domain threat association analysis, entity splitting and low research and judgment precision caused by incapability of sharing original security data among multiple target ranges. The method comprises the following steps: each sub-target range locally performs structured processing and high-order semantic coding on original security data to generate a standardized research and judgment intermediate representation; the central coordination node executes cross-domain entity disambiguation based on the intermediate representation, constructs a time sequence event atlas, fuses multi-source evidences through a Bayesian network, and outputs a global threat research and judgment conclusion; and the result is transmitted back to a related target range according to an authority strategy to form closed-loop feedback. The system comprises a research and judgment agent unit and a central coordination node which are deployed in each sub-target range and are used for respectively realizing local feature extraction and collaborative reasoning. According to the method, on the premise of ensuring that the original data is not out of the domain, cross-domain accurate reduction and cooperative defense of complex threats such as an APT attack chain are realized.

The method comprises the following steps that S1, a substrate on which secondary side wall etching is to be carried out is provided, the substrate comprises a PMOS area and an NMOS area, grid structures are formed on the PMOS area and the NMOS area, and second side wall layers are formed on the surface of the substrate and the grid structures; s2, forming a planarization material layer on the substrate, wherein the surface of the planarization material layer is higher than the gate structure; s3, synchronously etching the planarization material and the second side wall layer and the gate structure below the planarization material until the height difference of the gate structure of the PMOS region and the NMOS region is reduced to be within a target range; s4, the remaining planarization material is removed; and S5, etching the second side wall layer to obtain a gate side wall. Before the second grid side wall etching process is started, the grid height difference is reduced or even eliminated, and the influence on other subsequent processes is avoided.

A metasurface lens (2) for shaping a Gaussian beam into a collimated uniform beam, and a design method. The metasurface lens (2) comprises a dielectric substrate layer (203) and a metasurface microstructure. The metasurface microstructure comprises a first metasurface (201) and a second metasurface (202) which are respectively distributed on two sides of the dielectric substrate layer (203), and the first metasurface and the second metasurface each are formed by periodically arranging a plurality of columnar microstructure units. The distribution mode of the columnar microstructure units of the metasurface lens (2) is optimally designed on the basis of irradiance distribution of the Gaussian beam and a target collimated uniform beam, so that emergent beams are parallel to an optical axis and are uniformly distributed in a target range. The metasurface lens (2) implements laser shaping to obtain a target beam; and additionally, the structure is simple, the application range is wide, and the present invention is suitable for laser shaping of various lasers.

The invention relates to the technical field of equipment configuration management, in particular to a visual equipment element configuration system which comprises an operation trend analysis module, a configuration parameter screening module, a parameter conflict detection module, a parameter dynamic adjustment module and a configuration result analysis module. According to the method, through dynamic analysis of the extraction state values of the operation parameters of the equipment elements, accurate identification and induction of the operation change trend of the equipment are realized, clear capture of dynamic change information is ensured, and through screening of the operation parameters in the target range and elimination of configuration combinations which do not accord with the range, the pertinence and accuracy of screening are improved, and the configuration coordination is enhanced; parameter conflict value grading and influence range analysis are combined, the conflict degree and influence thereof are clearly defined, a conflict value range and a logic relation are optimized, configuration flexibility and matching performance are improved, and it is ensured that an optimization result effectively adapts to actual requirements through logic consistency analysis, support degree evaluation and matching performance verification; and the configuration efficiency, the accuracy and the intelligent level are obviously improved.

The invention relates to an intelligent control method and system for extrusion forming of an aluminum profile, and the method comprises the following steps: carrying out acoustic emission sensor array measurement and preprocessing on a mold inlet region of the aluminum profile in an extrusion process, and obtaining a preprocessed acoustic emission signal sequence; performing time-frequency domain energy distribution analysis on the acoustic emission spectrum to generate an acoustic emission energy spectrogram; carrying out material flow stability analysis based on the spectrogram to obtain a flow analysis result; if the flow instability degree exceeds the target stability range, multi-constraint optimization calculation is conducted on the main cylinder pressure and the extrusion speed based on the analysis result, and optimization control parameters are obtained; and finally, closed-loop feedback control is performed on the extruder through a distributed PID controller, so that the material flow stability is kept in a target range, intelligent high-precision forming control is realized, and the problem that in the traditional extrusion process, the material flow stability is often influenced by factors such as the extrusion speed, the main cylinder pressure and the mold design is solved. And a flow instability phenomenon is easy to occur.

The invention discloses an equipment access method, device and equipment based on address space identification. The method is applied to simplifying an equipment memory management unit and comprises the steps of establishing each single-level range table; acquiring an equipment access request, reading an address space identifier and a virtual address from the equipment access request, and matching a corresponding target range table from each single-level range table based on the address space identifier; and calculating a target physical address according to the target range table and the virtual address, and establishing equipment access based on the target physical address. By replacing a traditional multi-level page table with a single-level structure, the data structure design of address mapping is simplified, the dynamic configuration complexity is reduced, and hardware formal verification is facilitated. Through direct matching of the address space identifier, the traditional steps of analyzing the equipment identity identifier and querying the external table item are omitted, and the external memory access frequency is reduced. By calculating the target physical address and establishing access, the hardware address conversion logic is simplified, the hardware implementation cost and power consumption are reduced, and the data transmission efficiency is improved.

The embodiment of the invention provides a non-directional force sensor control method and system based on real-time force trend prediction, and the method comprises the steps: collecting a real-time force signal sequence generated when a target mechanical device carries out the contact operation, and inputting the real-time force signal sequence into a pre-trained force trend prediction model; and obtaining a force direction trend prediction result output by the force trend prediction model, generating a multi-dimensional force compensation signal according to the matching degree of the force direction trend prediction result and the current closed-loop control parameter, adjusting a proportion-integral-differential coefficient in the current closed-loop control parameter based on the multi-dimensional force compensation signal, generating an updated closed-loop control parameter, and outputting the updated closed-loop control parameter. The updated closed-loop control parameters are input into an actuator of the target mechanical device, and the contact operation track of the target mechanical device is dynamically adjusted through the actuator according to the updated closed-loop control parameters, so that the multi-dimensional force amplitude data output by the non-directional force sensor are converged to a preset force control target interval. The response speed and stability of the force control system can be improved.

The invention relates to an efficiency test method and device for industrial control equipment based on an LLM large model. The method is applied to an efficiency test system of industrial control equipment. The system comprises an industrial control target range platform, a tool library, a pre-trained LLM large model and an analysis module. The method comprises the following steps: simulating a test environment of to-be-tested target industrial control equipment based on an industrial control target range platform, and collecting operation data of the target industrial control equipment; inputting the operation data, the test task requirements of the target industrial control equipment and a tool library into a pre-trained large model to obtain a test scheme; the test scheme comprises tools required for completing the test task and a test sequence and test parameters of each tool; according to the test scheme, the corresponding tools are used in sequence for performance test, and test data of the tools are sent to the analysis module; and analyzing the test data by using an analysis module, and generating an efficiency test report of the target industrial control equipment. According to the invention, the efficiency test of the industrial control equipment can be efficiently and accurately completed.

Electronic equipment includes a processor, and a memory storing a program which, when executed by the processor, causes the electronic equipment to acquire a third image in which a first image captured via a first optical system and a second image captured via a second optical system and having parallax with respect to the first image are arranged side by side, apply predetermined processing to a target range included in the third image, and, wherein each of the first image and the second image is a circular region, set a rectangular region circumscribed around a circular region of the first image or a circular region of the second image as a movable region in which the target range included in the third image is movable.

The invention discloses a target sheet identification method based on point cloud data, and belongs to the field of target sheet identification methods, and the method comprises the following steps: 1, collecting original point cloud data of a target range environment through a laser radar; step 2, anti-rain and anti-fog interference processing; step 3, carrying out gale shake compensation; 4, reconstructing a basic curved surface, and executing random sampling consistency plane fitting; step 5, enhancing and reconstructing a wrinkle region, specifically, detecting a region with a curvature change rate of greater than 0.05 mm <-2 > on the basic curved surface; marking as a to-be-enhanced area and transmitting to a sub-curved surface processing flow; step 6, bullet hole identification: calculating the local curvature of the point cloud, and screening abrupt change points of which the curvature values are greater than 0.25 mm <-1 >; fitting the three-dimensional coordinates of the bullet hole by adopting a least square method; and step 7, outputting target sheet attitude parameters and bullet hole ring values. According to the invention, interference of rain, fog and strong wind can be reduced, and identification precision is improved.

The invention discloses a data filtering method and system for a digital twin industrial control safety target range. The method comprises the following steps: firstly, marking an IP address of an industrial control system network in a segmented manner; feature extraction is carried out on the network behavior data of each IP segment, and splicing is carried out on the IP segment label to serve as a feature sample for constructing an industrial control network security identification model; a plurality of inverted residual modules with the same structure are adopted as core construction units, network behavior features in the feature samples are extracted and learned, and classification training is carried out; deploying the trained industrial control network security identification model to a pre-filtering module of a digital twin industrial control security target range, and carrying out classification, identification and filtering on network behavior data flowing in each IP segment in real time; and the misjudged sample is subjected to backtracking analysis, and the IP marking rule is updated. According to the technical scheme, the accuracy of network behavior data identification can be improved, so that the effectiveness of industrial control system simulation is improved.

The invention provides a compensation method of a differential pressure flow transmitter, electronic equipment and a computer program product. Relates to the technical field of nuclear power. In view of the problem of low measurement accuracy of a traditional differential pressure flow transmitter, the method comprises the following steps of: calibrating reference positions of a first wide-range transmitter and a second wide-range transmitter in a system zero-flow state; in a system target range section, measuring difference values of the calibrated first wide-range transmitter and the calibrated second wide-range transmitter relative to a reference value are obtained; when the measurement difference value is greater than a preset comprehensive uncertainty, calculating a first flow correction value of the first wide-range transmitter and a second flow correction value of the second wide-range transmitter based on a flow compensation model; and when the relative error of the first flow correction value and the second flow correction value is within a preset cross comparison standard, calculating a flow compensation value of the wide-range transmitter based on a cooperative compensation model. The embodiment of the invention can improve the measurement accuracy and the stability of water level control.

The invention provides a high-precision angle estimation method for a distributed millimeter wave radar network, a medium and equipment, and belongs to the technical field of radar signal processing. According to the method, a large-aperture MIMO radar system is constructed based on a plurality of small millimeter wave radars, and an initial rough angle value of a target is obtained by using two-dimensional fast Fourier transform; accurately calculating the walking position of the distance spectrum peak value of each virtual antenna according to the distance resolution of the radar and the rough angle value, extracting all distance spectrum peak value data according to the walking position, and generating a one-dimensional angle vector; performing angle dimension fast Fourier transform on the one-dimensional angle vector to generate an angle spectrum; calculating a target angle estimation value according to the angle spectrum peak value position; the above process is iteratively circulated until the error between two adjacent angle estimation values is smaller than a preset threshold value. According to the method, different types of distributed millimeter wave radar network architectures can be flexibly adapted, the precision problem caused by target distance walking is effectively eliminated, and the angle estimation precision is greatly improved.

The invention discloses an industrial control safety target range construction method and system based on a digital twinborn technology. The method comprises the following steps: constructing a digital twinborn simulation environment for an actual industrial scene, wherein the digital twinborn simulation environment comprises physical system modeling, communication network modeling and co-simulation modeling; defining an interactive interface between the simulation environment and an external tool, including selecting a communication mode according to a data exchange demand, defining a logic communication channel based on the selected communication mode and standardizing a data exchange format; converting an attack instruction initiated by an external tool into a simulation operation instruction in the simulation environment through the interactive interface, and feeding back a physical state change caused by the simulation operation instruction to the external tool; and an automatic target range resetting mechanism is established, and the state of the simulation environment is backed up and recovered through a snapshot mechanism. According to the invention, the management efficiency of the industrial control safety target range is improved, and the test reliability is improved.

The embodiment of the present invention relates to the field of air conditioning control technology, and discloses an optimization method for precise control of room temperature, including: obtaining terminal control information of each spatial area of ​​a target building stored in a pipeline database; obtaining target temperature information set for each spatial area in the target building, and controlling the operation status information of each device and terminal control module in the air conditioning unit according to the target control parameter; determining the regional status information of each spatial area in the target building; matching the regional status information with the target regional status, and if the match is inconsistent, determining the regional status information and the target regional status information to determine the adjustment parameters of the air conditioning unit, and controlling and adjusting the air conditioning unit of the target building according to the dynamic adjustment parameters. The embodiment of the present invention can accurately control the temperature and ensure that the temperature of each spatial area is maintained within the target range set by the user, thereby greatly improving the user's comfort.

The invention relates to the technical field of laser cladding, and provides a CNN-LSTM-PID algorithm-based real-time regulation and control method and device for a dilution rate in a laser cladding process, and the method comprises the steps: collecting a molten pool image and a molten pool temperature in real time, collecting the molten pool image and the molten pool temperature in real time, and carrying out the normalization operation of the molten pool image; inputting the normalized molten pool image into a convolutional neural network (CNN), and extracting the characteristics of the dilution rate at the current moment; inputting the dilution rate at the current moment, the laser power at the current moment and the molten pool temperature at the current moment into an LSTM model to obtain a predicted value of the dilution rate at the next moment; and whether the predicted value of the dilution rate at the next moment is within the target range of the dilution rate or not is judged, and if not, the laser power is adjusted through the PID controller to change the dilution rate at the current moment, so that the dilution rate in the laser cladding process is always kept within the target range of the dilution rate. And the quality and performance of the cladding layer are improved, so that the cladding layer is more excellent in wear resistance, corrosion resistance and the like, the service life is prolonged, and the cost is reduced.

The embodiment of the invention relates to the technical field of intelligent vehicles, and discloses a tail gate control method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring positioning information of a UWB digital key; judging whether the UWB digital key is located in a target range or not according to the positioning information; the target range is adjacent to a projection area of a projection device at the tail of the vehicle; if it is determined that the digital key is located in the target range, controlling the projection device to project a projection area on the ground; and a target UWB anchor point installed at the tail of the vehicle in a UWB digital key system of the vehicle is controlled to detect the target limb action, and if the target limb action is detected and the target limb action is carried out in the projection area, a tail gate control instruction is generated. The UWB anchor point of the UWB digital key is reused as the kick detection radar, the cost can be reduced, the projection device is controlled according to the relation between the position of the UWB digital key and the kick detection area, and the accuracy of kick detection projection prompt is improved.

Apparatuses and techniques for reducing backlash between components in a transmission system are provided. The apparatuses and techniques provide a controllable torque over a target range of motion of a component in the transmission system. This eliminates the play at the interfaces between components and forces the components to maintain a controlled contact between the interfacing surfaces.

The invention relates to the technical field of LED display testing, in particular to an LED screen backlight module performance testing system which comprises the steps that a model identification code of a module to be tested is received, a corresponding standard optical parameter set is called, and initial driving current is applied. Actual optical signals driven by different currents are collected through a light sensing probe array and converted into a digital optical measurement value set containing brightness and color coordinate values of multiple sampling points. Comparing the brightness measurement value with a target brightness value point by point to generate a brightness consistency deviation matrix; and judging the color coordinate measurement value and the target range, and generating a color coordinate qualified identifier list. And calculating an actual brightness uniformity value according to the deviation matrix, and comparing the actual brightness uniformity value with a standard threshold value. And if the actual brightness uniformity value reaches the standard and the color coordinates of all the sampling points are qualified, generating a module qualification judgment instruction. According to the system, automatic and high-precision comprehensive evaluation of brightness space uniformity and chromaticity consistency of the backlight module is realized.

The embodiment of the invention provides a statistical analysis method and system for civil engineering test data of hydroelectric engineering. The method comprises the steps that a compaction parameter and slope stability relation model is constructed according to earthwork filling compactness detection data; carrying out sensitivity analysis on the relation model to screen key compaction parameters influencing the slope stability; determining a regulation and control target interval and a corresponding optimized compaction parameter based on a screening result; and the optimized compaction parameters are applied to earthwork filling construction so as to improve the slope stability. Through the scheme of the embodiment of the invention, the compaction parameters can be regulated and controlled according to the earth-rock filling compactness detection data so as to solve the problem of poor slope stability.

A metalens and methods of manipulating light using a metalens are provided. In some aspects, a metalens comprises a slab or substrate and a plurality of regions or features distributed on the slab. In some instances, the slab can be formed from a material having a first refractive index, and the plurality of regions can be formed from a material having a second refractive index. In some instances, the first refractive index can be higher than the second refractive index, and in some aspects, the plurality of regions define an optical modulation or manipulation structure for light having a target wavelength λ or the target range of wavelengths Δλ.

The invention provides a method and device for controlling vehicle functions, a vehicle and a storage medium, and relates to the technical field of vehicle function control. According to the method, function control information is determined, an analysis object can be clearly analyzed, and introduction of irrelevant data in the initial stage is avoided. Information redundancy needing to be processed by the preset large model is reduced from the source, and a foundation is laid for subsequent efficient analysis. And further performing semantic analysis on the function control information according to a layer-by-layer screening mode through a preset large model and a vehicle function formed based on a vertical progressive layered structure. According to the hierarchical structure, the preset large model does not need to traverse all vehicle functions, and each layer only focuses on the function of the corresponding layer, so that the number of functions needing to be processed by the preset large model can be greatly reduced, and the consumption of lexical elements is directly reduced. Meanwhile, layer-by-layer screening replaces one-by-one reasoning, the target range of each layer is rapidly narrowed, and all vehicle functions do not need to be analyzed one by one. The path for determining the function of the target vehicle can be remarkably shortened, and the determination efficiency is improved.