82results about How to "Exact fit" patented technology

The invention discloses a lithium battery state estimation method based on relaxation time scale modeling, and the method comprises the steps: 1, carrying out a sudden pulse charging test on a lithium battery, collecting voltage and current data, and calculating the open-circuit voltage, direct-current internal resistance and a time-domain impedance sequence of the lithium battery; and 2, converting the time domain impedance sequence of the lithium battery into a frequency domain impedance sequence after discrete Fourier transform, establishing a fitting equation set of a distribution function of the relaxation time scale DRT of the lithium battery and the frequency domain impedance sequence, and solving by adopting a regularized least square method. And 3, taking the solved DRT model distribution function as the input of a neural network, taking the state parameters of the lithium battery as the output of the neural network, and establishing a prediction model of the state parameters of the lithium battery. According to the method, EIS test required by traditional relaxation time scale modeling is avoided, the control complexity and design cost of test acquisition equipment are effectively reduced, and the method can be effectively applied to occasions such as battery life prediction, battery classification and screening, battery echelon utilization and the like.

The invention provides a camera offset detection method and system based on image segmentation, and belongs to the technical field of image processing, and the method comprises the steps: inputting a to-be-detected railway image into an image segmentation model, and obtaining a plurality of rail region contours; a target contour is determined from all the rail area contours, and the target contour is divided into a plurality of convex areas in the preset direction when it is judged that concave points exist in the target contour; determining a target area from all the convex areas, and performing straight line fitting on contour points in the target area to obtain a straight line to be detected; and when it is determined that the camera deviates based on a comparison result of the to-be-detected straight line and the reference straight line, alarm information of camera deviation is generated. According to the invention, through image segmentation and contour analysis, the rail boundary is accurately extracted and the camera offset is detected, so that the accuracy of camera offset detection is effectively improved.

The invention discloses a method for constructing a prediction model of fluid mechanics flow field velocity. The method comprises the following steps: acquiring a large number of coronary artery CTA images of coronary heart disease patients, and respectively constructing 3D blood vessel geometric models; setting different inlet flow rates and physiological pressure boundary conditions in different 3D blood vessel geometric models, and performing CFD simulation to obtain simulation results; inputting the obtained contrast agent particle concentration 3D point cloud in the flow field, the actual flow field speed and the coronary artery model 3D point cloud into a PDMNN neural network for learning; and encoding the advection diffusion equation to a loss function, and driving the PDMNN neural network to calculate convergence by using the relationship between the contrast agent concentration and the fluid velocity to obtain a prediction model of the fluid mechanics flow field velocity. Through the prediction model constructed by the method, the prediction effect can be more accurately and quickly realized, and meanwhile, the method can face different geometric models and different boundary conditions.

The invention relates to a target detection performance curved surface progressive sampling method based on Gaussian process multi-core fusion. The invention relates to the technical field of target detection, in a target detection process, multi-level search space construction is carried out, and efficient kernel function combination and optimization are realized in a complex performance curved surface scene; a progressive sampling optimization strategy of a multi-scale collaborative adaptive kernel system is established, a kernel function combination structure and parameters are optimized step by step, and the fitting precision of a Gaussian process model to a target detection performance curved surface is improved. The method is mainly used for solving the problem of model performance evaluation under a multi-dimensional interference condition, and the performance evaluation efficiency and accuracy of the target detection model in a complex environment are improved by optimizing kernel function combination and parameter tuning.

The invention relates to the technical field of heavy metal contaminated soil remediation, in particular to a plant-microorganism-passivator synergistic remediation method for a heavy metal contaminated farmland, which comprises the following steps: step 1, constructing a soil digital twinborn model; step 2, intelligent decision making and verification of a collaborative restoration scheme; 3, soil pretreatment before remediation; step 4, hierarchical collaborative restoration and dynamic regulation and control; 5, performing long-term verification on the repair effect and performing model iteration; physical heat treatment is used as strengthening pretreatment, the occurrence form of heavy metal is changed through high temperature, biomass charcoal is generated in situ, passivation immobilization-microbial strengthening-plant extraction three-stage collaborative operation is carried out according to the time sequence, pollutants are rapidly locked through a passivating agent, rhizosphere immobilization is strengthened through functional microorganisms, plant growth is promoted, and the quality of plants is improved. And the hyperaccumulator finally removes the heavy metals from the soil, so that the unification of short-term control and long-term reduction is realized.

The invention relates to the technical field of noise prediction, and discloses a shell high-frequency sound radiation forecasting method based on local optimization and deep learning, comprising: acquiring historical operation data of a shell of an underwater vehicle, the historical operation data comprising speed data, vibration data and sound radiation data; processing the historical operation data, and extracting key features; constructing a deep learning network model, and training the deep learning network model according to the key features; optimizing the deep learning network model by adopting a local optimization algorithm to obtain an optimal solution of parameters of the deep learning network model; the trained deep learning network model is endowed with the optimal solution of the parameters, and a shell high-frequency sound radiation forecasting model is obtained; and acquiring real-time operation data of the shell of the underwater vehicle, and determining a high-frequency sound radiation forecast value of the shell according to the real-time operation data based on the shell high-frequency sound radiation forecast model. According to the invention, the accuracy and efficiency of sound radiation prediction are improved, and online monitoring of shell noise is realized.

The invention relates to the technical field of remote sensing, and discloses a forestry loss value evaluation method, device and equipment and a storage medium. A second time sequence image data set and a first fitting model are combined to calculate a first difference image; and the change condition of the vegetation in the cloud-free area of the remote sensing image after typhoon disaster relative to the non-disaster state can be intuitively and quantitatively displayed. Furthermore, model training is carried out by using the environmental influence factor set and the first difference image, and a deep relationship rule of the influence of the typhoon disaster hidden behind the complex data on the forest can be mined. Furthermore, the normalized vegetation index difference value of the cloud coverage area is predicted by using the constructed model to generate a second difference value image, so that the spatial representation information of the disaster condition of the whole typhoon disaster area can be perfected. And finally, in combination with the real forestry loss value, the first difference image and the second difference image, rapid evaluation of the forestry loss value in the whole typhoon affected area can be realized.

The invention discloses a rotary blowout preventer rubber core working performance evaluation method, and relates to the field of oil and gas development, and the method comprises the steps: building a strain energy function of a rubber core material, and defining the strain energy function as a first strain energy function; establishing a rubber core material damage function based on the Mullins effect, introducing the rubber core material damage function into the first strain energy function to obtain a strain energy function considering the Mullins effect, and defining the strain energy function as a second strain energy function; preparing a sample from the rubber core material, and performing a tensile test to obtain an actual stress-strain curve; fitting the second strain energy function based on the actual stress-strain curve to obtain material parameters of the rubber core material; establishing a finite element model based on the material parameters; and analogue simulation: evaluating the working performance of the rubber core based on an analogue simulation result. The method is used for solving the problem that it is difficult to evaluate the influence of the Mullins effect on the sealing performance of the rubber core of the rotary blowout preventer through the prior art, and the purposes of evaluating the working performance of the rubber core on the premise of considering the Mullins effect and providing a more accurate evaluation method for the safety of the rotary blowout preventer are achieved.

The invention relates to the field of image processing, in particular to a video image distance measurement method based on a feature target. The method comprises the following steps: setting a feature target with a feature pattern, acquiring a field image through an industrial camera, detecting and identifying edge data of a feature point, carrying out edge fitting to obtain a detection parameter, carrying out feature matching on the detection parameter and an actual value, and determining an optimal center position of the feature point; and calculating the central point of the feature graph by using the optimal central position of the feature point, and finally calculating the included angle and distance between the feature target and the industrial camera lens. Through setting the feature target, video distance measurement can be rapidly carried out, distance measurement can be determined without obtaining excessive image detail features, the use is simple, and the measurement precision is high.

The invention provides a business process execution method and related equipment, and the method comprises the steps: carrying out the intention recognition of a business request, and obtaining a structured intention and key entity information; based on the structured intention, constructing a business process comprising a plurality of executable tasks; executing each executable task in the business process in sequence, and extracting a target cue word template matched with the structured intention from a cue word factory when a target task of a preset large model needs to be called in each executable task is executed; filling the key entity information into the target cue word template to obtain a parameterized cue word; and based on the parameterized cue word, calling a preset large model to execute the target task, and continuing to execute the remaining executable tasks in sequence after the target task is executed. In the scheme, dynamic binding of the cue word and the business scene is realized, and the accurately customized cue word can be automatically generated for different scenes, so that accurate adaptation to diversified business scenes in automatic execution of the business process is realized.

The invention relates to the technical field of marine environment numerical simulation, in particular to a near-shore typhoon wave refined simulation method based on terrain adaptive grids and parameter dynamic correction, and the method comprises the steps: obtaining basic data and simulation parameters of a target sea area, constructing a computational domain and an initial grid, and constructing a target sea area; the initial grid is an unstructured grid fused with multiple physical constraint factors; performing optimization processing on the initial grid based on a numerical stability criterion to obtain a final calculation grid meeting a calculation convergence requirement; establishing a bidirectional coupling model, and applying the final computational grid to the bidirectional coupling model; carrying out localization iteration calibration on key physical parameters of the bidirectional coupling model to obtain an optimal parameter set; and carrying out typhoon wave process simulation calculation and constructing a typhoon wave feature database by utilizing the final calculation grid and the optimal parameter set, and realizing high-precision simulation and prediction of the typhoon wave process by constructing an adaptive optimization grid, a bidirectional coupling model and a parameter localization calibration mechanism.

The application provides a large-diameter slurry shield safety stability multi-objective online optimization method and system based on GAT-LSTM-MOMPA, and belongs to the technical field of shield tunnel construction parameter multi-objective online optimization. The method comprises the following steps: obtaining monitoring data of shield construction parameters and preprocessing, and establishing an original sample set; adopting a method combining knowledge driving and correlation analysis, input parameters and output targets of a prediction model are determined; a space-time deep learning network framework GAT-LSTM is built, the mapping relationship between the input and the output is determined, and accurate prediction of the future time step optimization value is realized; through connection with MOMPA and TOPSIS, the historical value of the model is constantly updated, and accurate and effective real-time online optimization is achieved. The GAT-LSTM-MOMPA multi-objective online optimization model established by the application effectively improves the safety and stability of the shield machine operation.

This invention relates to the field of glass production testing technology, specifically disclosing a glass cold bending ultimate failure test device and method. The device includes a worktable and four identical cold bending loading units. Each unit integrates a planar displacement structure with horizontal displacement capability, a liftable and directional adjustable support structure, and a pressure head connected by a ball joint. During testing, the planar displacement structure of each unit is first adjusted to accommodate glass specimens of different sizes. Then, the support structures of three units form an L-shaped support surface, and their pressure heads press against corresponding corner points on the upper part of the specimen to establish stable constraints. Finally, the pressure head of the fourth unit applies a concentrated load to the unconstrained corner points, while automatically monitoring the load and displacement until the specimen fails. This invention, through modular and automated design, achieves high versatility of the device, high testing accuracy, and high operational safety, effectively improving testing efficiency and data reliability.

This invention discloses a hip joint prosthesis for bone defects, comprising a crescent-shaped acetabular rim filler assembly, a bone-metal defect block, an acetabular wall defect support block, a cylindrical support block, an angle pad, a locking screw, a locking nut, an assembly screw, an acetabular sealing screw, and an acetabular support block. The crescent-shaped acetabular rim filler assembly includes two sets of crescent-shaped acetabular rim fillers, which are assembled by engaging pins through pin holes. The outer circumference of the bone-metal defect block of the acetabular support block is connected to the crescent-shaped acetabular rim filler assembly via bone cement. This hip joint prosthesis for bone defects effectively fills irregular defect areas of the acetabular rim. The various screw holes and Kirschner wire holes on its surface provide multi-dimensional fixation options. The overall structure, through the synergistic action of multiple components, achieves precise reconstruction while ensuring biomechanical performance, significantly reducing the risk of postoperative prosthesis loosening and wear.

The utility model discloses an automobile die sundry cleaning device relates to automobile die cleaning equipment technical field, and this device includes work table, support frame and sliding slot, the support frame is installed in the top of work table, the sliding slot is set up in the both sides of support frame, the inside sliding connection of sliding slot has the sliding block, and the rotatory column is rotatoryly connected between two sliding blocks, the outer wall on rotatory column both ends is fixedly connected with fixed block, and the top swing of fixed block has the die, the inside of support frame is provided with the brush, be provided with the moving assembly for moving to the brush on the support frame, and the clamping assembly for clamping the die is set up between two fixed blocks. The utility model drives first screw rod and second screw rod to rotate through two third motor respectively, realizes the movement of brush in horizontal direction and vertical direction, and then combines the vertical movement of brush in the direction of second electric push rod control, makes the brush can cover each position of die.

The present invention provides a control method and device for an environment adjustment device, and an intelligent environment adjustment system. The environment state of an entire space is accurately reflected based on environment parameters collected at limited positions, and accurate environment parameters corresponding to the positions of the plurality of users can be easily acquired, whereby an environment parameter distribution of the entire space can be acquired at a low cost and applied to many large spatial areas; a target parameter distribution of the environment adjustment device is acquired by using a first prediction model from the state parameter overall value reflecting the overall state of the plurality of users, whereby the target parameter distribution can be accurately adapted to the plurality of users as a whole; and the deviation between an actual setting and an ideal setting can be reduced while the plurality of users can all be in a comfortable state, thereby improving the performance of the device and user experience.

The invention discloses a method for calculating an approximate circle diameter in a touch algorithm, which comprises the following steps of: 1, calculating a central physical coordinate according to original data obtained by touch, and taking the central physical coordinate as an expected value; step 2, calculating a covariance; step 3, constructing a covariance matrix; 4, performing eigenvalue decomposition on the constructed covariance matrix to obtain eigenvalues; step 5, calculating an initial ellipse semi-axis length through the characteristic value; step 6, calculating an equivalent diameter; step 7, simulating a curve equation by using a plurality of samples; and step 8, when actual touch occurs, obtaining the equivalent diameter through the steps 1-6, and calculating to obtain the diameter of the touch object. According to the method, eigenvalue calculation processing is carried out on the original covariance matrix, the contour of a real touch area can be accurately fitted, coordinate distribution characteristics in a theoretical model are considered, original data and physical size factors of a sensor are combined, and therefore the accuracy of touch size calculation is remarkably improved.

The invention relates to an electric vehicle fault current evaluation method considering the influence of the state of charge of a battery, and the method comprises the steps: calculating the critical state of charge of constant current-constant voltage charging switching of an electric vehicle, and judging whether the electric vehicle is charged at constant current or constant voltage according to the state of charge of the electric vehicle at a fault moment; and in a constant-current or constant-voltage charging state, respectively calculating a critical charge state of fault current over-damping / under-damping under constant-voltage or constant-current charging of the electric vehicle, judging whether the fault current is over-damping or under-damping according to the charge state of the electric vehicle at a fault moment, and respectively calculating the fault current of the electric vehicle by adopting a corresponding expression. The method can consider the influence of the state of charge on the fault current of the electric vehicle, accurately estimates and calculates the fault current of the electric vehicle, and provides more accurate reference data for the fault current analysis of the new energy power distribution network under the access of the electric vehicle. And therefore, accurate charging fault early warning or power distribution and power supply management of the charging management system on the new energy power distribution network can be better ensured.

The utility model discloses a filter support, including fixed frame, two active elements, two driven module and transmission part. Active element and driven module all are opposite fixed frame mobile setting, and transmission part is opposite fixed frame rotation setting. Two active elements and two driven module are along annular arrangement, and a driven module is located between two active elements. Active element and transmission part transmission connection, and driven module also with transmission part transmission connection. When active element is opposite fixed frame mobile, can drive transmission part opposite fixed frame rotation, and then promotes driven module to move to the same mobile direction with active element. The structure realizes the cooperation of active element and driven module through transmission part, improves the adjustment flexibility, can better adapt to different caliber lens, reduces the dark corner, satisfies the diversified shooting demand.

The invention relates to the field of aperture measurement, and provides an aperture measurement device which comprises a base and at least two measurement assemblies. The measuring assemblies are located on the same cross section of the base. The measuring assembly comprises an abutting piece, an elastic piece and a conversion element. The conversion element is mounted on the base. One end of the elastic piece is connected with the abutting piece, and the other end of the elastic piece is connected with the conversion element. The extending direction of the elastic piece is parallel to the corresponding radial direction of the base. Based on the above structure, it can be guaranteed that all the abutting pieces can abut against the hole wall of the to-be-measured hole in a self-adaptive mode under the action of the corresponding elastic pieces, and therefore the risk that all the measuring assemblies conduct measurement at the same time but all the abutting pieces do not abut against the hole wall of the to-be-measured hole at the same time can be reduced, and the accuracy of measured data of all the measuring assemblies can be guaranteed. And the elastic force of the corresponding elastic piece can be measured through each conversion element, so that the aperture of the hole to be measured on the same cross section in the radial direction corresponding to each elastic piece can be obtained, and the measurement precision and the measurement efficiency of the aperture measurement device on the aperture can be improved.

The utility model discloses a kind of fixed tool for photovoltaic module support processing, including installation platform, the installation platform top is provided with fixed component, the installation platform bottom four corners position place is uniformly connected with lifting rod, four the lifting rod outside is uniformly slidably connected with connecting sleeve, four the lifting rod bottom is uniformly fixedly connected with sliding rod in connecting sleeve inside, two the connecting sleeve between front and back sides are uniformly fixedly connected with connecting strip, two the connecting strip between middle part are fixedly connected with fixed rod, the fixed rod top middle part is fixedly installed with rotating support, the rotating support inside left and right sides are rotatably connected with transmission rod, two the transmission rod front and back ends are fixedly connected with rotating strip. The utility model said a kind of fixed tool for photovoltaic module support processing, can quickly adapt to different size support, reduce the time of manual adjustment, work efficiency is significantly improved.

The utility model discloses an automobile differential housing diameter taper detection tool, comprising a detection bench and a positioning seat, the detection bench is fixedly connected with the positioning seat, the front surface of the positioning seat is fixedly connected with a detector, one side of the detection bench is fixedly connected with a stud, and one side of the detection bench is fixedly connected with a first spring. Through the arrangement of the detector, the stud, the first spring, the fixing ring, the limiting plate and the nut, in the use process, the automobile differential shell diameter taper detection tool is firstly placed on the detection table, then the limiting plate is rotated upwards, the nut is screwed, the first spring deforms, the fixing ring is pushed to move outside the stud, the limiting plate limits the fixing ring, and the detection result is accurate. And then, the detection instrument is used for measuring the parts, so that the fitting degree and the stability between the parts are ensured to a certain extent, and the detection tool is enabled to be more accurately adaptive to the differential mechanism shell.

The application relates to a cloud service workload prediction method and system based on a convolution enhanced Transformer, which comprises the following steps: collecting cloud server workload data and preprocessing the cloud server workload data to decompose the cloud server workload data into a trend component and a residual component; constructing a workload prediction model, training the workload prediction model by using the trend component and the residual component, and obtaining a trained workload prediction model; predicting the cloud server workload by using the trained workload prediction model to obtain a workload prediction value; predicting the trend component by using a trend information capturing module to obtain a prediction result of the trend component; predicting the residual component by using a convolution enhanced Transformer encoder module to obtain a prediction result of the residual component; and fusing the prediction result of the trend component and the prediction result of the residual component by using a feature fusion module to obtain a final workload prediction value.

The present invention provides a method for quickly estimating the longitudinal center of gravity position of a tilt-rotor aircraft, which belongs to the field of dynamic modeling and flight test. The method first measures the key distance parameters of the aircraft and the weight borne by the front and rear landing gears when all nacelles are placed in different vertical and horizontal states, and then calculates the proportion of the longitudinal center of gravity position of the aircraft relative to the chord length of the wing based on the moment balance principle, and obtains the forward displacement of the longitudinal center of gravity of the aircraft when each nacelle is placed in a horizontal state relative to a vertical state. Finally, combined with the influence of the nacelle tilt on the center of gravity, the longitudinal center of gravity position of the aircraft when all nacelles of the tilt-rotor aircraft are in any combination of tilt angles is obtained. Compared with the method of direct measurement under all combinations of nacelle tilt angles, the present invention has the advantages of simple and fast realization and accurate fitting of the change law, and can quickly and accurately obtain the longitudinal center of gravity position of the tilt-rotor aircraft during the full envelope flight process, providing support for the analysis of the aircraft's hovering control ability, cruise static stability, etc.

The invention relates to a plate continuous cleaning device and method with an adjustable spraying and drying unit, and belongs to the technical field of precise cleaning and drying, and the plate continuous cleaning device and method comprises the steps that S1, a main body frame, a supporting conveying piece, a Bernoulli self-suspension cleaning assembly and a sound wave desorption drying assembly are deployed; s2, a conveying channel is widened, horizontal displacement and rotation of a spray head are limited through a vertical guide mechanism, and only the vertical freedom degree is reserved; s3, introducing liquid to establish a Bernoulli negative pressure suspension gap, driving the piezoelectric array to generate an ultrasonic cavitation field, and locking a resonance point based on impedance feedback; and S4, high-strength air ultrasound is utilized to enable a water film interface to oscillate and dewet, and then water drops are stripped through high-speed laminar flow of a Coanda air knife. According to the scheme, passive follow-up of the spray head to fluctuation of the surface appearance of the plate is achieved, and the problem of uneven cleaning or collision risk caused by warping of the plate is effectively solved.

The invention belongs to the technical field of atmospheric laser communication, and particularly relates to an atmospheric channel parameter extraction method based on double Johnson SB distribution. Comprising the following steps: S1, a receiving and measuring device comprising a telescope optical system, an APD detector and an acquisition card; s2, data processing and analysis: normalizing light intensity data obtained by measurement, then analyzing probability distribution of light intensity, and fitting by using a probability density distribution model; and S3, atmospheric channel parameter calculation: obtaining a probability density function through fitting, establishing a light intensity distribution model of the optical fiber coupling receiving system, and calculating atmospheric channel parameters. According to the atmospheric channel parameter extraction method based on the double Johnson SB distribution, in the process of applying experimental measurement data to calculation, due to the fact that the light intensity fluctuation probability density distribution is described based on the double Johnson SB distribution, and the fitting effect is better, compared with an existing method, the obtained result is more accurate, and the applicable atmospheric conditions are wider.

The invention provides composite hydrogel for promoting tissue regeneration and repair as well as a preparation method and application of the composite hydrogel, and belongs to the field of hydrogel materials. The method comprises the following steps: carrying out anhydride aminolysis ring-opening reaction on a styrene-maleic anhydride alternating copolymer, amino polyethylene glycol methyl ether, 3-aminophenylboronic acid and cysteamine hydrochloride; the preparation method comprises the following steps: carrying out a first amidation reaction on GRGDS pentapeptide and an SPDP cross-linking agent, then carrying out a disulfide bond exchange reaction on the obtained product and GPLGIAGQ-PEG-SH, and finally carrying out a second amidation reaction on the obtained product and 3-maleimide propionic acid-NHS ester; the preparation method comprises the following steps: carrying out a modification reaction on a PEDOT: PSS aqueous dispersion and 3-aminopropyltriethoxysilane; the preparation method comprises the following steps: mixing a multifunctional polymer, a signal molecule, a conductive component, four-arm PEG-hydrazide and oxidized sodium alginate, and sequentially carrying out physical gelation and chemical crosslinking to obtain the composite hydrogel. Therefore, the intelligent responsiveness, the biological activity and the conductivity of the hydrogel are synergistically improved.

The invention belongs to the related technical field of interface thermal resistance measurement, and discloses an interface thermal resistance measurement method and device, and the method comprises the steps: (1) moving heating light and probe light from one side of a to-be-measured interface to the other side of the to-be-measured interface, and carrying out the frequency domain heat reflection measurement of a to-be-measured sample during the movement, so as to obtain a measurement signal; (2) inputting the initial parameter value and the estimated interface thermal resistance value of the to-be-measured sample into the vertical interface heat transfer model to obtain an analog signal, and comparing the measurement signal with the analog signal based on optimal fitting by taking the minimum deviation between the measurement signal and the analog signal as a target to obtain the interface thermal resistance value of the to-be-measured interface; the vertical interface heat transfer model is obtained by performing integral summation on respective thermal response functions of media, located on the two sides of the interface to be tested, of the sample to be tested and thermal response functions generated by mutual heat transfer of the media on the two sides. According to the invention, even if the interface to be measured is perpendicular to the heating interface, the interface thermal resistance value of the interface to be measured can be accurately fitted.

This invention discloses a mining vehicle dispatching system and method, belonging to the field of mining transportation dispatching technology. It includes a perception layer, a decision-making layer, an execution layer, and an interaction layer. The perception layer accurately acquires multi-source key information about vehicles and excavators and uploads this information to the decision-making layer. The decision-making layer, connected to the perception layer, constructs a vehicle-excavator digital twin mapping through data fusion, executes the tiered cyclic charging rules for electric mining trucks, and makes loading point decisions based on multi-dimensional cost modeling, generating dispatching instructions. The execution layer, connected to the decision-making layer, transmits dispatching instructions in real-time via hierarchical voice and feeds back the execution status to the decision-making layer. The interaction layer, connected to the decision-making layer, centrally displays vehicle status and dispatching progress, and supports switching from automatic dispatching mode to manual dispatching mode under triggered conditions, with manual dispatching instructions having higher priority than automatic dispatching instructions. This invention achieves efficient and accurate mining transportation dispatching.

This invention relates to the field of geological exploration, and in particular to a method and apparatus for correcting well logging acoustic velocity to VSP velocity trends. The method includes the following steps: acquiring well logging data and VSP data; preprocessing the well logging data and VSP data; determining the number of nodes in the input layer based on the feature count of the well logging data and VSP data; determining the number of hidden layers and the number of neurons in each layer based on the complexity of the problem and the characteristics of the well logging data and VSP data, thereby constructing a neural network model; training the neural network model; and inputting the well logging data to be corrected into the neural network to obtain the correction result. This invention improves the reliability of data support during modeling and imaging, and enhances the accuracy of modeling and imaging.