519results about How to "Wide adaptability" patented technology

The invention provides an intelligent refrigeration system efficiency optimization method, system and device based on deep learning, and relates to the technical field of intelligent refrigeration system efficiency optimization. The method comprises the following steps: firstly, collecting historical operation parameters and environmental data of the refrigeration system, preprocessing, and integrating into a sample set according to a timestamp; and based on the hybrid model of the convolutional neural network and the long-short term memory network, constructing a state prediction model for predicting the system operation state. And in combination with the state prediction model, an optimization objective function is defined for data prediction at the next future moment, and an optimal adjustment strategy for system operation is formulated by using a deep Q network model. And finally, monitoring current operation parameters and environment data in real time, calculating a comprehensive safety score, comparing the comprehensive safety score with a safety threshold value, and deciding whether to continue to optimize the efficiency or preferentially carry out troubleshooting. According to the method, through combination of deep learning and physical modeling, efficient and safe refrigeration system operation optimization is realized.

The invention discloses a heat preservation and thermal insulation project whole industrial chain quality tracing method and system, and the method comprises the steps: obtaining industrial chain data and monitoring data of a heat preservation and thermal insulation project, carrying out the tracing coding based on the industrial chain data and the monitoring data, and constructing a heat preservation and thermal insulation project whole industrial chain quality tracing network, determining industrial chain data corresponding to the to-be-traced monitoring data through the traceability code, and performing correction and anomaly screening on the to-be-traced monitoring data to obtain to-be-traced abnormal monitoring data, and according to the to-be-traced abnormal monitoring data and the thermal insulation project whole industry chain quality traceability network, determining a thermal insulation project whole industry chain quality hidden danger source. The method not only can improve the efficiency and accuracy of quality traceability of the whole industrial chain of the thermal insulation project, but also has good interpretability, and can be directly applied to a quality traceability system of the whole industrial chain of the thermal insulation project.

The invention discloses a method for dynamically correcting off-axis aberration of a liquid mirror telescope, which comprises the following steps of: S1, adjusting a secondary mirror body to perform dynamic full-angle circular motion around the center of a primary mirror by using a secondary mirror rotating system, so that the secondary mirror body acquires an incident beam from any direction; s2, acquiring attitude information of the secondary mirror body, and adjusting the secondary mirror body according to the dynamically changeable off-axis angle based on a preset secondary mirror pose adjustment sub-method to compensate for low-order aberration; s3, the light beams of the distorted wavefront compensated by the secondary mirror are adjusted to be emitted in a determined direction in parallel and enter an adjustable beam expanding and shrinking mirror through two groups of plane reflection systems; s4, the light beam with the light spot size adjusted through the adjustable beam expanding and shrinking mirror is reflected to the magnetic liquid deformable mirror through the reflecting mirror; and S5, the magnetic liquid deformable mirror receives the reflected light beam and performs residual aberration correction. According to the method, the observation view field of the liquid mirror telescope can be effectively improved, the imaging quality is improved, and an aberration correction system is endowed with excellent flexibility and wide adaptability.

The invention relates to a portrait generation and feature similarity recommendation method and system based on a large language model, and the system comprises a data collection module, a feature extraction module, a similarity calculation module and a recommendation module, the data collection module collects multi-modal data from a social media platform, and covers audio, video, text and interactive data information; the feature extraction module performs deep feature analysis and processing based on the collected multi-modal data, and extracts features in multiple dimensions; the similarity calculation module generates a training sample based on the feature matrix generated by the multi-dimensional feature extraction module in combination with a large language model, constructs a similarity matrix of audio, video, text and interactive data features, and calculates similarity scores to determine candidate objects; the recommendation module provides personalized recommendation based on the comprehensive similarity score generated by the similarity determination module. Through combination of a large language model and multi-modal features, the system can accurately analyze behaviors and expressions and generate personalized recommendation.

The invention relates to the field of flight simulation, and discloses a multi-degree-of-freedom motion control method for flight driving rocker and accelerator simulation, which comprises the following steps: receiving attitude data from flight simulation software in real time, constructing a rotation matrix based on the attitude data, and calculating displacement data of platform angular points; the target stroke of the linear electric cylinders is calculated in combination with the displacement data, and the target stroke is optimized, so that movement of the multiple electric cylinders is coordinated, and the mechanical stroke range of the electric cylinders is met; meanwhile, dynamic feedback data including vibration feedback and damping feedback are generated based on the flight environment parameters, the dynamic feedback data are superposed into the control instruction, and an electric cylinder is driven to adjust the attitude of the platform; the platform motion state is detected and updated in real time through a closed-loop control system, and it is ensured that platform motion and a flight simulation software scene are highly synchronized. The system has the advantages of high-precision attitude control, real-time dynamic response and good system stability, can adapt to various flight simulation scenes, and provides real flight simulation experience.

The invention discloses comprehensive rock drift rapid tunneling equipment and a using method thereof.According to the tunneling equipment, a drilling and anchoring integrated multifunctional drilling machine is arranged on one side of a cantilever type tunneling machine body, and a temporary supporting mechanism is arranged above an oscillation cutting part; a deep hole is formed in a to-be-crushed rock by utilizing the multifunctional drilling machine, the deep hole is further expanded and cracked by utilizing the pulsating fracturing system, the strength of a rock mass is weakened, then the rock mass is milled by adopting the oscillating cutting part, and finally, the rock mass is anchored and protected by utilizing the multifunctional drilling machine and the temporary supporting device, so that a guarantee is provided for an operation environment. According to the equipment and the technology, a traditional roadway tunneling procedure is simplified into a continuous procedure, the tunneling efficiency of roadway rock mass is greatly improved, and meanwhile the cost is saved.

The invention relates to the technical field of urban public transportation, and discloses an intelligent passenger flow perception and bus route adaptive adjustment system and device, and the adjustment system is composed of a data collection module, a data processing module, a passenger flow prediction and event detection module, a dynamic scheduling and route adjustment module, and an information release and user interaction module. According to the method, the characteristics of passenger flow density, flow direction, peak period and the like are extracted, the passenger flow change from a few minutes to a few hours in the future is predicted based on real-time data, and the passenger flow trend from a few days to a few weeks in the future is predicted in combination with historical data and special event information such as large-scale activities, traffic congestion and weather change. By automatically identifying the influence of the special event on the passenger flow, the passenger flow peak or the abnormal passenger flow condition can be predicted in advance, the module automatically adjusts the bus route and the departure time according to the passenger flow prediction result, and the beneficial effect of adjusting the bus route in real time according to the passenger flow distribution in the high stage or the special event period is achieved.

The invention discloses a power transmission line insulator defect detection method based on deep learning, and the method comprises the steps: S1, obtaining an aerial image, carrying out the preprocessing of the aerial image, and generating an insulator defect detection data set; s2, based on a YOLOv8n model, introducing a space object attention module (RCS-OSA), and improving the feature extraction capability under a complex background; s3, adding an extrusion excitation network (SENet) in the neck network of the model to enhance the feature expression ability between channels; s4, constructing a small target detection layer, and adding a high-resolution feature map (160 * 160) to capture small defect target information; s5, optimizing a detection head by using multi-scale feature fusion and a dynamic label distribution strategy, and improving the recognition precision of the model on insulator defects under a complex background; and S6, outputting defect positions, types and confidence coefficients based on a detection result, and generating an electric power inspection report. According to the method, the accuracy and robustness of insulator defect detection under the complex background of the power transmission line are effectively improved, and the method has relatively high applicability and real-time performance.

The invention discloses a flexible clamping jaw capable of automatically adjusting clamping force based on deformation measurement, and belongs to the field of vegetable and fruit picking devices.The flexible clamping jaw comprises a rotating mechanism, three clamping jaw mechanisms are symmetrically installed at the front end of the rotating mechanism through an installation disc, and the rotating mechanism and the clamping jaw mechanisms form a picking mechanism; the rotating mechanism can drive the three clamping jaw mechanisms to rotate through an internal rotating motor, each clamping jaw mechanism comprises a flexible clamping jaw, the tail of each flexible clamping jaw is driven by a connected cam connecting rod mechanism to swing, and the back face of each clamping jaw mechanism is fixedly provided with a monitoring mechanism. The monitoring mechanism monitors the deformation quantity of the flexible clamping jaw through a camera. According to the flexible clamping jaw, the clamping force is accurately controlled through a camera and an algorithm, and fruits are protected against damage; the three-jaw structure is stable, the process is automatic, and the efficiency is improved; ginseng can be flexibly set according to vegetables and fruits, and the adaptability is wide; data after picking is driven and optimized, long-acting operation of equipment is facilitated, and the cost is reduced.

The invention belongs to but not limited to the technical field of animal husbandry statistics, and particularly relates to an alpine meadow yak number calculation method and system based on an unmanned aerial vehicle image, and the method comprises the steps: S1, employing an unmanned aerial vehicle to shoot an orthoimage of a sample plot, and carrying out the statistics of the yak number; s2, splicing the shot images by using Pix4D software, screening a proper sample plot, and respectively counting the quantity of wet cow dung and the quantity of dry cow dung in a visual interpretation mode; and S3, carrying out linear fitting on the obtained data by using Origin 2024b, so as to obtain three relation curves. According to the method for estimating the number of the yaks through statistics of the number of the cow dung in the unmanned aerial vehicle image, the workload of data collection is greatly reduced, and the limitation that the number of the yaks cannot be obtained when the yaks are not grazed in the grassland is avoided. According to the invention, the data acquisition frequency of experimenters is effectively reduced, and the research cost is reduced.

The invention provides a tissue culture bottle interior washing control method and device and a readable storage medium. The device comprises an input track, a photoelectric sensor, a bottle shifting mechanism, a turnover mechanism and the like. The input track guides bottles into the turnover mechanism, the bottle shifting mechanism drives the bottles according to the design, a plurality of cleaning tracks are arranged on the circumference of the turnover mechanism for switching operation, a nozzle of the water injection mechanism and a water level sensor are accurately matched for water injection monitoring, and efficient cleaning of the tissue culture bottles is cooperatively achieved. According to the control method, through multiple processes of detection starting, feeding, water injection, stirring and spin-drying, station switching, secondary water injection and circulating propelling, all links are intelligently regulated and controlled according to feedback of the sensors, and the bottle cleaning quality and efficiency are guaranteed. The electronic device runs a memory program through the processor, the storage medium stores program codes, a carrier is provided for implementation of the control method, tissue culture bottle cleaning automation and intellectualization are promoted, the industrial clean production level is improved, cost is reduced, efficiency is improved, and remarkable practical value and wide application prospects are achieved.

The utility model relates to the technical field of centrifugal pumps, and aims to provide a spiral groove type impeller wear ring sealing structure which comprises an impeller wear ring and a sealing ring matched with the impeller wear ring, and a spiral groove is formed in the inner surface of the sealing ring. The high-wear-resistant material is adopted, so that the washing of liquid can be effectively resisted, and the service life is prolonged; meanwhile, due to the guiding effect of the spiral groove, a high-pressure area and a low-pressure area are formed at the outlet end and the inlet end, so that liquid cannot leak from the inside of the pump, and the sealing performance is greatly improved; in addition, the spiral groove type wear ring sealing element is suitable for various high-temperature, high-pressure, high-viscosity or corrosive environments and has wide applicability; in addition, only regular inspection and replacement of the spiral groove type wear ring sealing element are needed, maintenance is convenient, and maintenance cost is reduced.

The invention provides an arsenic hyperaccumulation double-gene recombinant vector and application of the arsenic hyperaccumulation double-gene recombinant vector in repairing an arsenic polluted environment, and belongs to the technical field of gene engineering. The arsenic hyperaccumulation double-gene recombinant vector takes a plant expression vector containing a pUbi promoter as a skeleton vector, and further comprises a PvACR3 gene and PvACR3, 1 gene and a prbcS promoter; wherein the pUbi promoter is used for promoting the expression of the PvACR3 gene; a prbcS promoter is used for starting the PvACR3; 1 gene expression. Aiming at the problem of rice death caused by high expression quantity of arsenic accumulation genes in transgenic rice in the prior art, through reasonable design of insertion genes and combination of promoters, toxicity of arsenic accumulation to the transgenic rice is avoided, and the arsenic removal quantity of the transgenic rice is greatly improved.

The invention belongs to the technical field of magnetism isolating plates, and particularly relates to a novel magnetism isolating plate which comprises a composite plate, the composite plate is composed of an outermost wear-resistant and corrosion-resistant protective layer, a middle high-permeability magnetism isolating material layer and an inner buffer layer in good contact with protected equipment, and the outermost wear-resistant and corrosion-resistant protective layer can be made of PTFE (polytetrafluoroethylene). The surface of the magnet vane is covered with the coating in a spraying or dipping mode, a uniform protective layer is formed, and the thickness of the uniform protective layer is usually 20 microns 300; and the middle layer of high-permeability magnetic isolation material layer is permalloy composed of 45 N i-Fe alloy containing 45% of nickel and 80 N i-Fe alloy containing 80% of nickel. According to the invention, the outermost layer is wear-resistant and corrosion-resistant, such as a PTFE or aluminum oxide ceramic layer, so that the interior is protected; the middle high-permeability magnetic isolation material layer effectively isolates a magnetic field; the inner buffer layer provides buffer, the buffer holes disperse stress and absorb energy and buffer, and the interval grooves enhance the fitting degree, so that stable operation of equipment in various complex environments is ensured jointly, and the service life of the magnet vane and the service life of the equipment are prolonged.

The invention discloses an antenna far field test system and method based on weather radar base data, and relates to the technical field of weather radar test. The transmitting antenna is mounted on the first antenna turntable and rotates along azimuth, pitching and polarization axes; an antenna to be tested and a standard horn antenna are installed on a second antenna rotary table through a radar receiver, the aperture faces of the antenna to be tested and the standard horn antenna form an included angle of 180 degrees, mechanical axes are coaxial, and the antenna to be tested and the standard horn antenna rotate along azimuth and pitch axes. The data processing device is connected with the radar receiver. The testing process is simplified, and the equipment cost and the maintenance cost are remarkably reduced. The test time is shortened, and the test precision of gain, beam width, sidelobe level and the like of the to-be-tested antenna is improved. The whole system has wider adaptability in practical application and is not limited by specific climate conditions. The test process is accelerated, and errors caused by human factors are reduced. The method has the advantages of simplicity in operation, high automation degree, high adaptability and the like, and the measurement precision and the test efficiency of antenna performance parameters are remarkably improved.

The invention discloses an automatic text structural element recognition method based on a hierarchical neural network, and the method achieves the efficient and automatic recognition of structural elements in a target document abstract through integrating the context information of a word level and a sentence level, and optimizing a tag sequence through an attention mechanism and a conditional random field. According to the method, a Chinese scientific and technical literature structural abstract data set CSL Structured 2K is constructed, published and published, the Weighted F1 value is 93.38% and the Macro F1 value is 88.4% on the basis of experimental verification of a published English data set PubMed 20K, and the Weighted F1 value is 88.69% and the Macro F1 value is 88.86% on the basis of verification of a CSL Structured 2K data set. By comparing models such as BiLSTM-CRF, BERT, SciBERT, HSLN, BERT-HSLN, SciBERT-HSLN and the like, the performance on a reference data set exceeds the current most advanced result by 0.6%-1.3%, and it is verified that the method has good performance in automatic recognition tasks of abstract structural elements of scientific and technical literatures.

The invention provides a method for constructing planar chiral [2, 2] paracyclophane by cobalt-catalyzed asymmetric carbon-hydrogen bond activation-kinetic resolution, which comprises the following steps: by using a cobalt catalyst, a chiral ligand and an additive, taking a graphite felt electrode as an anode and taking a platinum sheet electrode as a cathode, carrying out racemization on [2, 2] paracyclophane under the condition of direct-current electrolysis, so as to obtain the planar chiral paracyclophane. The preparation method comprises the following steps: carrying out asymmetric carbon-hydrogen bond dehydrogenation coupling / kinetic resolution on 2, 2] paracyclophane formamide and aryl acid, and after the reaction is finished, carrying out corresponding post-treatment to obtain planar chiral [2, 2] paracyclophane formamide and planar chiral oxopara-[2, 2] paracyclophane; according to the method, electrochemical synthesis of planar chiral oxara-[2, 2] paracyclophane is realized through a method for catalyzing asymmetric carbon-hydrogen bond activation by virtue of a crustal high-yield transition metal, a reaction substrate is wide in universality and excellent in stereoselectivity, and a product and a split and recycled raw material can have an excellent ee value (up to gt; 99% ee) and a splitting factor (up to 1057).

The invention provides a tracer agent for an oil field and a method for evaluating oil production contribution of each section of a horizontal well, and belongs to the technical field of oil field development. The tracer agent for the oil field, provided by the invention, is prepared from white oil, a nonionic surfactant, 3-allyloxy-2-hydroxy propanesulfonic acid sodium salt and alcohols; wherein the rare earth metal salt, the complexing agent and the sodium 3-allyloxy-2-hydroxy propanesulfonate form a complex; the complexing agent is a mixture of glycolic acid, triethylene tetramine and sodium dimercaptopropanesulfonate in a mass ratio of 10: (3-5): (1-2). The tracer agent for the oil field can stably exist under complex stratum conditions and can resist hypersalinity; in the process of evaluating the oil production contribution of each section of the horizontal well by using the tracer agent for the oil field, different types and different dosages of tracer agents are selected for different layer sections, so that the evaluation of the oil production contribution of each section of the horizontal well can be realized, and an effective basis is provided for subsequent refracturing.

The invention relates to the technical field of garment making, and particularly discloses a non-ironing garment with a wrinkle effect and a making method thereof.The garment is made of machine-washable non-ironing pure cotton fabric or linen fabric through non-ironing treatment and wrinkle treatment, the pure cotton fabric is made of 100% cotton, the linen fabric is made of 100% linen, and the wrinkle effect is achieved. The tearing strength of the pure cotton fabric or the flax fabric is more than 20N, and the stitch slipping degree is controlled within 0.4 cm; the tearing strength of the garment fabric obtained after non-ironing treatment and wrinkling treatment is 10 N or above, and the stitch slipping degree is controlled within 0.6 cm. The machine-washable non-ironing pure cotton fabric or linen fabric is adopted to be matched with non-ironing treatment and wrinkle treatment, and by controlling process parameters, the prepared garment has the advantages of having a wrinkle effect, being non-ironing and easy to tidy, being soft and comfortable in fabric and being not prone to deformation after being washed with water.

The invention discloses a novel fluorescent probe based on triphenylamine and a preparation method and application thereof, the preparation method comprises the following steps: S1, dissolving 4-methoxyaniline and 1-bromo-4-iodobenzene in a solvent A, and then adding copper iodide, 1, 10-phenanthroline and potassium tert-butoxide for reaction to obtain a compound 1; s2, dissolving the compound 1 obtained in the step S1, (5-formylthiophene-2-yl) boric acid and anhydrous potassium carbonate in a solvent B, and then adding PdCl2 (dppf) for reaction to obtain a compound 2; and S3, dissolving the compound 2 obtained in S2 and malononitrile in a solvent C, and then adding triethylamine for reaction to obtain the TPA-CN probe. The TPA-CN probe is used for monitoring exogenous and endogenous SO2 and viscosity change in living cells. According to the invention, dual imaging of SO2 and viscosity in a biological system and a food sample can be realized.

The invention relates to the technical field of image processing, and discloses an interactive processing method for an infrared image, comprising the following steps: S1, acquiring an infrared image to be processed; s2, preprocessing the infrared image, and extracting noise characteristics, edge characteristics and scene characteristics; s3, receiving feedback information input by the user through the user interaction interface, wherein the feedback information comprises enhancement intensity, denoising intensity and definition of the region of interest; s4, constructing an optimization model based on a variational method, wherein the optimization model guides image processing by describing denoising, detail enhancement and image smoothing optimization targets; and S5, introducing partial differential equation constraints. Through an energy functional optimization model and partial differential equation constraint, the denoising and detail retention capability of the infrared image is improved; parameters are dynamically adjusted in combination with a user interaction mechanism, and personalized requirements are met; an explicit time step iteration method is adopted, calculation efficiency is improved, precision and stability are both considered, and the method adapts to complex scenes.

The invention discloses a root locking mechanism applied to a spatial extension arm, which is used for locking a supporting disc and a sleeve of the spatial extension arm, the supporting disc is perpendicular to the axial direction of the sleeve, and the root locking mechanism is characterized by comprising a locking mechanism unit, an anti-overturning mechanism assembly and a structural locking groove in the inner wall of the sleeve, wherein the four anti-overturning mechanism assemblies are installed on the four locking mechanism units in a one-to-one correspondence mode, one ends of the four anti-overturning mechanism assemblies make contact with the inner wall of the sleeve, and a supporting effect is provided for the root locking mechanism; the bottom ends of the four locking mechanism units and the four corners of the supporting disc are installed in a one-to-one correspondence mode. Four structure locking grooves are evenly distributed in the inner wall of the sleeve and matched with the upper ends of the four locking mechanism units for locking. The locking device has the advantages of being compact in structure, stable and reliable in the working process, high in locking rigidity, convenient to unlock, capable of being repeatedly used and the like.

The invention relates to the technical field of intelligent mine mining, in particular to an intelligent mine physical property parameter real-time inversion and coal mining simulation real-time optimization method. The method specifically comprises the steps of arranging monitoring points, and monitoring physical property parameter stress data sigma and displacement data u in real time; establishing a mathematical model composed of a geometric equation, an equilibrium equation, a constitutive equation and initial-boundary conditions; a solver is used for simulating the coal mining process, and simulated stress data sigma simulation and displacement data u simulation of each monitoring point are obtained; comparing the real-time simulation stress data sigma simulation and the displacement data u simulation of each monitoring point with the field real-time monitoring stress data sigma monitoring and the displacement data u monitoring, and constructing a loss function; and by utilizing an optimization algorithm, the physical property parameters of the stratum are determined while the coal mining simulation is more accurate. According to the method, the accuracy and optimization effect of coal mining simulation can be improved, so that the safety and resource utilization rate of mine mining are improved.

The invention discloses a tunnel fire smoke diffusion detection method based on deep learning and image segmentation, and belongs to the technical field of fire smoke diffusion detection. The method comprises the following steps: S1, data acquisition and processing: acquiring a monitoring video in a tunnel environment by using an image acquisition module, obtaining diversified smoke image data when a fire occurs in a tunnel, and storing the obtained smoke image data in a data storage module; s2, smoke image segmentation and enhancement: utilizing an image processing module to segment and enhance the smoke image data acquired in the S1; s3, smoke recognition: after image segmentation and enhancement are completed, smoke target detection is performed on the processed image by using a YOLO v5 deep learning model based on a smoke detection module; s4, result analysis and visualization: utilizing a result analysis and visualization module to display the smoke recognition result obtained in the S3 in real time; and S5, data storage: storing a result displayed in the S4 in real time in a data storage module. Compared with the prior art, fire smoke diffusion can be accurately monitored in real time, timely control and early warning are achieved, and the influence of smoke diffusion on the tunnel environment and the external environment is reduced.

The invention belongs to the technical field of power quality of a power distribution network, and discloses a dominant harmonic source identification method and system.The dominant harmonic source identification method comprises the steps that on the basis of power grid phase-free measurement data collected in real time, the nonlinearity of each feeder line in a power grid is judged through nonlinear analysis, and the feeder lines containing harmonic sources are screened; according to the screened feeder lines containing the harmonic sources, utilizing a correlation analysis algorithm to solve a correlation index between the harmonic voltage of the common connection point and the harmonic current of each feeder line, and calculating a nonlinearity index of each feeder line containing the harmonic sources; and performing weighted summation on the correlation indexes and the nonlinearity indexes by using an objective weighting method to obtain fusion indexes of the feeder lines, and identifying the dominant harmonic source according to the size of the fusion index of each feeder line. According to the method, harmonic wave responsibility division can be efficiently and accurately realized, the identification result is not interfered by background harmonic wave fluctuation, and the method has good stability.

The invention discloses a millimeter wave radar and monocular camera fused information acquisition device and method, and relates to the technical field of target detection. The device comprises a millimeter wave radar, a monocular camera and an adjusting bracket, wherein the adjusting bracket can adjust the positions and angles of the radar and the camera. And the data fusion module performs time synchronization and space alignment on the radar information and the image information, and obtains a target recognition result through a preset target recognition model. The acquisition method comprises the steps of timestamp matching, time compensation, joint calibration, coordinate transformation, image distortion correction and the like. Further, radar physical features are extracted by using a CFAR algorithm, image features are extracted by using a deep learning model, and effective features are obtained through PCA dimension reduction. And finally, an accurate target recognition result is obtained through feature splicing and optimization by using a support vector machine (SVM). According to the method, efficient fusion and target identification of millimeter wave radar and monocular camera information are realized, and the method has a wide application prospect.

The invention discloses a drip irrigation device with a water and fertilizer regulation and control function, relates to the technical field of agricultural drip irrigation, and aims to solve the technical problems that a stirring structure is relatively single in function and cannot meet granular fertilizer rolling and stirring effects at the same time, the drip irrigation device comprises a stirring tank, and the inner wall of the stirring tank is arranged in an annular wave shape; and the side surface of the stirring tank is fixedly connected with a controller. Through the iris structure, the stirring components in the stirring assembly are in two use states of linear array distribution and annular array distribution, when the stirring components are arranged in the annular array, the stirring components form a circular cylinder shape and rotate on the inner wall of the stirring tank, granular fertilizer can be ground into powder, water and fertilizer mixing is facilitated, the stirring efficiency is improved, and the stirring efficiency is improved. In the linear array arrangement of the stirring parts, a water and fertilizer mixture can be fully stirred, the phenomenon that in the drip irrigation process, water and fertilizer are precipitated and precipitated in a drip irrigation pipeline, and normal drip irrigation of crops is affected is avoided, and the drip irrigation device has two use states and is wide in adaptability.

The invention provides a trolley positioning method and device based on a laser radar, equipment and a storage medium, and relates to the technical field of tunnel engineering. The method comprises the following steps: acquiring an attitude transformation matrix between a laser radar and a trolley, and a target center first coordinate of each target; obtaining point cloud data of the laser radar, and obtaining a target center second coordinate of each target according to the point cloud data; according to the target center first coordinate and the target center second coordinate of each target, a first conversion matrix between the radar coordinate system and the tunnel coordinate system is obtained through a singular value decomposition method, and according to the first conversion matrix and the attitude conversion matrix, a second conversion matrix between a trolley coordinate system where the trolley is located and the tunnel coordinate system is obtained; and positioning the trolley according to the second conversion matrix. According to the method, the positioning precision of the trolley in the tunnel is improved on the premise of high universality.

The utility model provides a fan blade machining tool which comprises a moving platform (3), a supporting mechanism (2) arranged on the moving platform (3) and a clamping mechanism (1) arranged on the supporting mechanism (2), and the clamping mechanism (1) can clamp a fan blade. The supporting mechanism (2) can drive the clamping mechanism (1) to move in the vertical direction relative to the moving platform (3), and the clamping mechanism (1) can rotate around the horizontal central axis relative to the supporting mechanism (2). According to the scheme, the fan blade can be clamped through the clamping mechanism, the fan blade can be allowed to move and rotate relatively, the position of the fan blade can be adjusted more conveniently, and the machining efficiency is improved.

The invention provides a model searching method for a sorting machine, a sorting method and electronic equipment, and belongs to the field of data processing.The model searching method comprises the steps that searching sampling is conducted on a preset searching space, and a neural network structure and a hyper-parameter and an optimization algorithm corresponding to the neural network structure are obtained; selecting candidate network structures from the neural network structures according to the scale values of the neural network structures; based on the hyper-parameters of the candidate network structures and an optimization algorithm, performing optimization evaluation on the candidate network structures by using the plurality of data sets of different materials to obtain performance indexes of the candidate network structures; and determining an optimal network structure from the candidate network structures according to the performance indexes. Therefore, the optimal network structure is a model which has small scale values such as calculated amount and parameter amount and has optimal recognition performance on the multiple materials of the sorting machine, so that the optimal network structure has wide adaptability and has higher recognition precision and higher reasoning speed.