890 results about "Target range" patented technology

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.

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 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 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 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 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.

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 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.

The invention provides an array jet flow and mechanical shock synergistic efficient controllable ice damage method which comprises the following steps: S1, moving to an ice damage target position, and defining an ice damage target range; s2, adjusting the position of a high-pressure jet array and a mechanical impact point according to the ice damage range; s3, the ice material is subjected to continuous impact melting corrosion through a high-pressure jet array, and jet defects distributed in an array mode are manufactured; s4, mechanical impact acts on the target area of the ice material, radial cracks radiating outwards are generated, the radial cracks are connected with the multiple jet flow defects and guide the multiple jet flow defects to generate annular crack communication, and bending failure of the ice material is accelerated; s5, the crushing degree of the ice material in the target range is checked, and if the ice material is not crushed completely, the step S4 is repeated; and S6, the mobile platform continuously works, and the step S1 to the step S5 are repeated. According to the method, the damage range and the ice damage degree of the ice material can be accurately controlled by means of the annular cracks generated by the jet damage cooperating with the mechanical impact effect, and accurate ice breaking is achieved.

The invention provides an MMPC-based sedimentation tank intelligent dosing control system and method, and relates to the technical field of water treatment.The MMPC-based sedimentation tank intelligent dosing control system comprises a fixing frame and a sedimentation tank, and a water inlet pipe is fixedly installed at the top of the fixing frame; the left end of the water inlet pipe is fixedly connected with a flow instrument; the left end of the flow instrument is fixedly connected with a filter pipe; a water inlet detection pipe is slidably mounted on the left side of the filter pipe; and four mounting seats B are fixedly mounted at the top of the water inlet detection pipe. Based on a multi-model self-adaptive switching structure, the problem of mismatching of a traditional single model under variable working conditions is solved, when the inflow flow fluctuates or the turbidity changes suddenly, the system automatically calls a prediction model matched with the current working condition, the change of the effluent turbidity is predicted in advance, the dosage is adjusted in time, and the effluent turbidity is stably controlled within a target range, so that the stability of the system is improved. The safety of water consumption of residents is guaranteed, and the problem of out-of-control risk caused by time delay is solved.

The invention discloses a FDA-MIMO radar multi-target distance angle joint super-resolution method and system, and mainly solves the problem that the existing phased array only depends on the angle to identify multiple targets, resulting in low resolution ability, and the implementation scheme of the method comprises the steps of obtaining FDA-MIMO radar echo data, and performing separation aliasing on the FDA-MIMO radar echo data to obtain a data matrix; performing conversion stacking on the data matrix to obtain NM * L-dimensional data, and calculating a covariance matrix of the NM * L-dimensional data; performing reverse array decoherence processing on the covariance matrix to obtain a new source signal covariance matrix; constructing a two-dimensional spatial spectrum function of a target distance and a target angle for the new source signal covariance matrix through a MUSIC algorithm; and performing spectrum peak search on the two-dimensional spatial spectrum function, and detecting a local maximum value of the two-dimensional spatial spectrum function to obtain a distance and angle joint estimation value of a plurality of targets. The method can improve the angle resolution capability of the target when the target angle interval is lower than the traditional resolution, reduces the influence of the amplitude-phase error on the resolution capability when the target distance interval is large enough, and can be used for target recognition.

The invention discloses a dynamic compensation prediction control method and system for a low-voltage photovoltaic array, and relates to the technical field of low-voltage photovoltaics, and the method comprises the following steps: building a disturbance response sample set, training a Light GBM prediction model with a disturbance feedback label based on the disturbance response sample set, and recognizing the self-excitation disturbance characteristics in a prediction value; based on the prediction model, multi-step rolling prediction is carried out on the current system state, uncertainty scores are output for nodes with self-excitation disturbance paths in prediction results, and disturbance correction is carried out on prediction control quantities of all the nodes; and on the basis of actual feedback after control execution, updating a disturbance response sample set, performing local incremental learning updating on the prediction model, reconstructing a regulation and control priority, and adjusting a trigger strategy and a target range, thereby realizing multi-node cooperative interference avoidance. According to the method, the disturbance response sample set is constructed, the prediction model with the disturbance feedback label is trained, and the self-excitation disturbance path caused by the control behavior can be accurately recognized.

The invention provides a crown block operation monitoring method and system, relates to the technical field of remote monitoring of crown blocks, is applied to ground monitoring equipment, and specifically comprises the following steps: acquiring crown block position information of a target crown block from crown block control equipment; target information of target operation executed by the target crown block is determined according to the crown block position information, the target operation comprises ladle hanging operation and / or ladle removing operation, the ladle hanging operation is operation of hanging a plate hook of the target crown block into a trunnion of a target steel ladle, and the ladle removing operation is operation of removing the plate hook from the trunnion; the target information is sent to the crown block control equipment, so that the crown block control equipment controls the target crown block to enter a target range to execute the target operation; when it is determined that the target crown block enters the target range, first identification information and second identification information are obtained, the first identification information is obtained by monitoring the target crown block through a two-dimensional identification technology, and the second identification information is obtained by monitoring the target crown block through a three-dimensional identification technology; and monitoring whether the target crown block successfully executes the target operation or not according to the first identification information and the second identification information.

The invention relates to the technical field of vehicles, in particular to a collaborative decision-making system and method under mixed traffic flow, a vehicle and a storage medium, and the method comprises the steps: obtaining the traffic environment information under the mixed traffic flow in a target range through a roadside sensing unit, and calculating the behavior intention probability of a manual driving vehicle through a preset intention prediction model; a vehicle end decision-making unit is utilized to construct, adjust and expand a perception domain based on traffic environment information and behavior intention probability in combination with vehicle-mounted sensor data, generate a risk constraint trajectory and a collaborative decision of the vehicle, and re-plan a driving path of the vehicle; and the cloud optimization unit is used for updating a preset intention prediction model, receiving traffic environment information, reconstructing an area-level traffic situation under mixed traffic flow, and transmitting optimized signal timing and formation parameters to the road side sensing unit and the vehicle end decision-making unit. Therefore, the problems of single adaptability of a traffic collaborative decision-making scene, no fusion of real-time road side data and the like in related technologies are solved.

The invention relates to a double-frequency filtering metasurface design method based on topological optimization. The method comprises the following steps: establishing a two-dimensional simulation model comprising a double-frequency filtering metasurface matrix and a scatterer; according to a preset target forbidden band, taking a forbidden band frequency covering frequency doubling target interval as a fitness function, coding the binary matrix representing material distribution as a chromosome to perform optimization iteration of the chromosome, and obtaining the chromosome with the maximum fitness function value; in optimization iteration, material distribution corresponding to chromosomes is constructed on a two-dimensional simulation model, an energy band structure of the two-dimensional simulation model is obtained, and a fitness function value is calculated; and according to the binary matrix of the chromosome with the maximum fitness function value, outputting final optimized material distribution of the double-frequency filtering metasurface, and performing performance verification on a result through simulation to obtain the double-frequency filtering metasurface of which a fundamental frequency wave can be blocked through a double-frequency wave. Compared with the prior art, systematic optimization of the frequency doubled sound filtering scene is realized.

The invention provides a heat dissipation control method and electronic equipment, and relates to the technical field of computers. The method comprises the following steps: based on respective initial weights and first target rotating speeds of a plurality of target fans for a first component in the electronic equipment, controlling the plurality of target fans to dissipate heat of the first component, so that the temperature of the first component is in a target range. Performing at least one reduction processing on the first initial weight of the at least one target fan, and determining a first total power consumption of the plurality of target fans in the predetermined time period after the previous reduction processing and a second total power consumption of the plurality of target fans in the predetermined time period after the current reduction processing; and under the condition that the second total power consumption is greater than or equal to the first total power consumption, taking the weights of the plurality of target fans determined after the previous reduction processing as first target weights of the plurality of target fans, so that under the condition that the plurality of target fans are controlled to operate based on the first target weights and the first target rotating speed, the second total power consumption is greater than or equal to the first total power consumption. The temperature of the first component is within a target range.

The invention discloses a continuous spinning path coordination system based on real-time tension regulation and control, relates to the technical field of spinning tension control, and is used for solving the problem of poor continuous path tension coordination regulation. The method comprises a path modeling module, a state acquisition module, a coordination control module and a strategy optimization module, and comprises the following steps: establishing a path structure model from spinning to winding, planning tension measuring points, generating state vectors, identifying drafting section disturbance, winding section disturbance and local friction disturbance, and predicting the tension change of each path node in combination with a tension conduction time delay parameter; a control combination is generated among a drafting drive unit, a winding drive unit, a tensioning unit and a belt drive yarn guide component, cooperative adjustment of an execution unit is achieved, a strategy optimization module establishes a statistical relation between tension and quality based on end breakage and quality detection results, a tension target interval is updated in a self-adaptive mode, and the execution unit adjusts constraints and priorities. The end breakage rate is reduced, and the stability and the product consistency are improved.

The invention provides a single photon and visible light image fusion method and system based on a multi-scale Markov random field model, and belongs to the technical field of multi-modal image fusion. In the long-distance target ranging and imaging process, a multi-sensor fusion method is used, the high resolution advantage of a visible light intensity image is utilized, the problems that a single-photon laser radar is small in point cloud density and low in image resolution are effectively solved, and the sensing capacity of the single-photon laser radar for scene target information is effectively enhanced; by using the fusion method based on the multi-scale Markov random field model, the structural consistency and the anti-interference capability are enhanced, global structural deviation or local overfitting under a single scale is effectively avoided, and the method is suitable for image fusion under multi-modal and complex scenes.

The invention discloses an automatic measuring range switching method and system for an electric measuring instrument, and relates to the technical field of electronic measurement, and the method comprises the steps that a measuring range control module analyzes a measuring range instruction and calculates a relay control time sequence of a target measuring range gear; and the execution driving module drives the multi-path relay group to be switched to the target range gear according to the relay control time sequence. According to the invention, the execution driving module is configured with a multi-path relay group composed of a high-precision relay channel, a power relay channel and a high-voltage relay channel, and a heterogeneous hardware design concept of a special relay is adopted for different measurement requirements. Therefore, one instrument can give consideration to the precision requirement of micro-parameter measurement and the safety requirements of power and high-voltage measurement at the same time, the limitation of measuring range design of a traditional instrument is fundamentally broken through, and the application scene and the comprehensive testing capability of the electric measuring instrument are greatly widened. And a solid hardware foundation is provided for developing a multifunctional and wide-range general electric measurement platform.

The invention relates to the technical field of live ammunition point positioning, in particular to a simulated live ammunition point accurate positioning method. According to the method, the time and the displacement value of track segmentation are calculated based on the shooting parameter set, the coordinate set of each track segment is defined, the longitudinal deviation value is calculated in combination with the gravitational acceleration, segmentation processing of track generation is refined, the track calculation accuracy is ensured, and the target range is determined by judging the relation between the coordinate points and the target range point by point. The Euclidean distance between candidate points and the center of the target is calculated in combination with a gradient descent method, the screening process of hit point positions is optimized, the offset between a to-be-hit point and the center of the target is reduced by adjusting the initial velocity and the shooting angle of a bullet for multiple times, coordinate points exceeding the boundary of a target range are corrected through a quadtree segmentation algorithm, and the accuracy of target shooting is improved. The re-segmentation calculation of the track points meets the constraint condition of the space boundary, the effectiveness of the track point set and the accuracy of the drop point positioning are improved, and comprehensive data support is provided for weapon debugging and training.

The invention relates to the technical field of copper pipe manufacturing, in particular to a rare earth copper pipe hot rolling and annealing control method which comprises the following steps: adding rare earth elements into a copper melt to prepare a rare earth copper casting blank; initial hot rolling parameters are set according to product performance requirements, and multi-pass rolling is carried out; ultrasonic detection is conducted after each pass of rolling, the sound velocity anisotropy ratio delta V is obtained in real time, and hot rolling parameters of subsequent passes are dynamically adjusted according to the deviation between the measured value of the delta V and the target range; energy storage grades are divided according to the target range, the annealing process of the energy storage grades is matched based on the delta V value after finish rolling, and if the delta V value after finish rolling exceeds the target range, the exception handling mode is activated, and the energy storage grades are matched again; performing performance detection on the rare earth copper pipe after annealing, and triggering a process backtracking instruction if the rare earth copper pipe does not reach the standard; closed-loop dynamic regulation and control of the whole hot rolling annealing process of the rare earth copper pipe are achieved, and the problems of performance fluctuation and too high rejection rate caused by mismatching of technological parameters and the real-time state of materials are solved.

A golf ball has a core, a cover layer, and a color-shift material incorporated into at least one of the cover layer or a coating applied to the cover layer. The golf ball also has an alignment indicator that provides an intended target strike location on the golf ball. The color-shift material causes the golf ball to exhibit a localized color-shift effect upon application of pressure in the form of a strike by a golf club. The color-shift effect comprises a shift between a first color and a second color and measured as a deltaE of greater than 2 when the change of pressure is within a target range. The color-shift material and the alignment indicator provide feedback regarding an actual strike location relative to the intended target strike location.