16results about How to "Good modeling" patented technology

The invention discloses a water supply network flow prediction method based on time-invariant feature extraction, relates to the technical field of water supply network flow prediction, and provides a water supply network flow prediction model based on time-invariant feature extraction. Acquiring a time-invariant signal and a time-varying signal based on the high-frequency signal and the low-frequency signal; then a feature extraction module obtains time-invariant features and time-varying features based on the time-invariant signals and the time-varying signals; the flow prediction module obtains predicted water supply network flow based on the time-invariant features and the time-varying features; the time-varying features and the time-invariant features are processed separately, so that the respective features of the time-varying features and the time-invariant features can be captured more accurately; according to the method, the frequency domain signals are extracted from the time domain signals by using fast Fourier transform and inverse transform thereof, and are divided into the time-varying signals and the time-invariant signals, so that the performance of the model is improved, and the accuracy of flow prediction of the water supply network is improved.

A multi-target interaction flight trajectory prediction method based on an SCINet network belongs to the field of traffic trajectory prediction, and comprises the following steps: step 1, extracting trajectory data to form a multi-target interaction scene; step 2, designing a model framework of multi-target interactive flight trajectory prediction based on an SCINet network; the model captures long-term time dependence, multi-level characteristics and multi-target space characteristics of the trajectory; the method for capturing the long-term time dependence of the trajectory and the multilevel features is a time feature extraction method based on SCIcross; and step 3, inputting the tested observation trajectory information into the trained model to obtain a prediction trajectory. According to the invention, the flight path prediction accuracy under the condition of multi-target interaction of the same scene is improved.

The invention provides a method for predicting protein-protein binding affinity based on a graph convolutional network, and relates to the field of bioinformatics. The basic principle is as follows: respectively converting a protein-protein compound and an interaction region into atomic-level graphs; intramolecular and intermolecular node features and edge features of a compound are learned through a model constructed on the basis of a graph convolutional network, graph structure features of protein are fully utilized, the protein-protein interaction relationship is deeply excavated, then the precision of predicting a protein-protein binding affinity value is improved, and the prediction precision of the protein-protein binding affinity value is improved. And the function of predicting the affinity of the multi-chain compound is realized by processing the data set.

The invention discloses a power dispatching strategy determination method and device and electronic equipment. The method comprises the following steps: acquiring region parameters of a target power region; according to the region parameters, determining a target function with the purpose of minimizing the power consumption cost of the target power region and a first constraint condition for constraining the target function; and determining a power dispatching strategy corresponding to the target power region according to the target function under the first constraint condition. According to the method and the device, the technical problems that only the adjustable load equipment is adjusted when the power dispatching strategy of the target power area is determined, the number of adjustable resources is small, and the power operation cost is high in the prior art are solved.

The present application relates to the field of three-dimensional tunnel geological model creation, and particularly relates to a method for creating a three-dimensional tunnel geological model based on Dynamo, which greatly improves modeling efficiency and model accuracy. The method for creating a three-dimensional tunnel geological model based on Dynamo comprises the following steps: analyzing design drawings, obtaining pile-by-pile coordinate data, and processing the pile-by-pile coordinate data; generating a road center line through a Dynamo program according to the processed pile-by-pile coordinate data; creating a geological entity model through the Dynamo program according to the road center line; importing the geological entity model into a project file, and assigning corresponding color materials to different geological entities. The present application is suitable for creating a three-dimensional tunnel geological model.

The present invention discloses a breeding environment control method and system based on environmental characteristics and pig behavior characteristics, and relates to the field of breeding environment control technology. The present invention can automatically control the temperature and humidity, carbon dioxide and ammonia concentrations in a pig house in real time and timely according to the needs of pigs, realize automated environmental control, and improve the health and welfare level of pigs; according to the environmental characteristics in the pig farm and the behavioral characteristics of pigs, the pig house is regulated to a suitable temperature and humidity environment to prevent pigs from having stress reactions, and can timely prevent the concentration of harmful gases in the pig house from exceeding the standard, and prevent the harm caused to pigs by excessive concentration of harmful gases; the environmental parameters of the pig house can be effectively predicted, and the pig behavior can be identified through the improved SlowFast network, effectively improving the identification accuracy; it has an early warning function, can timely detect abnormal conditions of equipment in the pig house and remind staff to carry out maintenance, and reduce manual labor.

This invention discloses a method for constructing a digital model of a high-energy beam pre-controlled projectile with random defects. The method includes: establishing a model of the high-energy beam pre-controlled projectile using TrueGrid software; outputting the node and element information of the mesh according to the format requirements of the finite element software; extracting node and element data from the mesh model file, dividing the element data into base element data and pre-controlled zone element data; obtaining element data of the defect-forming locations and the remaining element data in the pre-controlled zone according to a pre-defined ratio of defect formation locations and their volume in the pre-controlled zone; randomly deleting element data from the defect-forming locations; and merging the data to form a mesh model file that meets the requirements, thus obtaining the element data of the high-energy beam pre-controlled projectile with random defects. This construction method can generate controllable random defects in the pre-controlled zone, completing the defect characterization of the high-energy beam pre-controlled projectile.

The application provides a simplex family network structure robustness analysis method and relates to the technical field of control and information. According to three simplex network generation algorithms, different initial networks are constructed, and based on a structure robustness index calculation formula, analytical expressions of the structure robustness of the three simplex networks are derived theoretically, and the influence mechanism of network topology and attack mode on the system structure robustness is revealed. The simplex family network is used to describe the structure of an actual complex system, can effectively reflect the high-order interaction relationship of the actual network, and is more suitable for modeling of a real network system; the node degree-based attack mode is used to simulate the deliberate attack suffered by the actual network system, and the influence mechanism of the high-order interaction and the attack mode on the structure robustness is revealed, which can provide scientific theoretical support and technical implementation guidance for reasonably formulating a network attack defense strategy in practical applications.

The invention discloses an intelligent bagged cement loading system which comprises a conveying belt, sliding rails are arranged on the two sides of the conveying belt, a support is installed on the sliding rails through sliding blocks, the support stretches across the conveying belt, a mechanical arm is installed on the support through an installation base, and a mechanical hand for taking and placing bagged cement is installed at the tail end of the mechanical arm. An inductive sensor is installed on the side, opposite to the conveying belt, of the support. A discharging groove is formed in the starting end of the conveying belt. The invention further relates to an intelligent bagged cement loading control method, which comprises the following steps of: reading a license plate number through the camera, inputting license plate information, establishing a vehicle transportation card according to purchase information, recording vehicle load information and releasing a vehicle; according to the system and the method, the collection work of the vehicle information can be completed, the loading work of a plurality of vehicles can be simultaneously carried out according to the established information, each operation system can operate at relatively high efficiency, the overall loading efficiency and the operation efficiency of the conveying belt are improved, and the condition that the transportation vehicles are queued to wait for loading is reduced.

The invention provides a fault detection, isolation and positioning method for a general battery system, and the method can achieve the detection, isolation and positioning of various types of faults, such as a voltage sensor fault, a current sensor fault, a poor contact, a battery cell fault, and the like, only through the utilization of voltage and current data which are commonly used at present. Modeling and calculation processes are simple and convenient, and additional disassembly and transformation and sensor installation of the battery system are not needed, so that multiple simple, efficient and reliable comprehensive fault diagnosis solutions are provided for a general battery system represented by a lithium ion battery.

The invention relates to the technical field of ships, in particular to a ship tail flow guide fin appearance drawing and modeling method which comprises the following steps: importing a stern outline and a stern rib molded line, and importing outlines of a rudder and a guide pipe; drawing inner and outer side steel pipes of a diversion section, drawing inner and outer side inclined tangent lines of the diversion section, drawing a channel arc section of the diversion section, and drawing a diversion section top intersecting line; drawing a guide pipe section top intersecting line, and drawing inner and outer side inclined tangent lines of the guide pipe section; a stern steel pipe is arranged, a top intersecting line of the plotting rudder platform section is arranged, inner and outer side oblique tangent lines of the plotting rudder platform section are arranged, and a contour line of the plotting rudder platform section is arranged; and obtaining control point coordinates of each cross section line of the flow guide fin, establishing each cross section line of the flow guide fin in a three-dimensional space, and adding a longitudinal curve to form a three-dimensional curved surface of the flow guide fin. According to the method, a two-dimensional drawing of fairing of the flow guide fins can be set and drawn through parameterized design of a standardized process according to different ship tail shapes and sizes and positions of guide pipes and rudders used by the ship tail shapes, and three-dimensional modeling of the flow guide fins is rapidly completed.

The invention relates to a bistable high-load pneumatic driver and a design method.The upper end of an air bag is connected with the middle of a top plate, the lower end of the air bag is connected with the middle of a bottom plate, limbs are arranged on the outer side of the air bag in the circumferential direction and arranged between the top plate and the bottom plate, and each limb comprises an upper limb part and a lower limb part which are hinged to the hinged fold line position; the limbs are parallelogram-shaped after being completely unfolded, the upper end of the upper limb part is hinged to a corresponding top plate hinge seat arranged on the lower side of the top plate, and the lower end of the lower limb part is hinged to a corresponding bottom plate hinge seat arranged on the upper side of the bottom plate. According to the invention, during complete extension, the upper limb part and the lower limb part of each limb are in a locked state on the same vertical surface to ensure the axial rigidity between the top plate and the bottom plate, so that the stable state under complete extension is realized, and a relatively large load can be borne, and during complete contraction, the upper limb part and the lower limb part of each limb are in a locked state on the same vertical surface. And the upper limb part and the lower limb part of each limb can be approximately completely folded, so that the stable state under complete contraction is realized.

The invention discloses a denoising method for a permanent shadow area of ​​the moon based on a physical noise model. A denoising dual network model is constructed, which comprises a noise recognition network model, a preliminary denoising module and a final denoising dual network model. The noise recognition network model takes a shadow area image to be denoised as input, and is used to identify mixed noises including dark noise, compression noise and reading noise; the preliminary denoising module is used to remove mixed noises from the shadow area image to be denoised, and then correct the DN value of the removed image to obtain a remaining shadow area image, and complete preliminary denoising; the final denoising dual network model takes the remaining shadow area image as input, and is used to identify a clean image, and complete final denoising; the noise recognition model and the final denoising model are trained; and the trained denoising dual network model is used to perform denoising on the shadow area image to be denoised, and obtain the shadow area image after final denoising.

The invention discloses a shallow sleeve type buried pipe soil heat conductivity distribution measuring method, and belongs to the technical field of ground source heat pumps. The method comprises the following steps: carrying out a distributed thermal response test on the shallow sleeve type buried pipe, and layering the shallow sleeve type buried pipe in the vertical direction; sequentially carrying out linear fitting on the measured value of the average temperature of the annular fluid of each layer and the natural logarithm of the time to obtain the slope of a linear relation; constructing a one-dimensional heat exchange model for each layer in sequence, wherein the one-dimensional heat exchange models are respectively used for simulating the average temperature of annular fluid of each layer and calculating the slope of a linear fitting relational expression of natural logarithms about time; for any layer, taking the absolute deviation between the slope based on the actual measurement value and the slope based on the simulation data of the one-dimensional heat exchange model of the layer as an objective function of the layer, and further calculating the soil heat conductivity corresponding to the minimum objective function, namely the measured soil heat conductivity of the layer; through the steps, the thermal conductivity of each layer of soil is measured in sequence. The method is high in precision, simple and suitable for engineering application.

A multi-target interactive flight trajectory prediction method based on SCINet network, belonging to the field of traffic trajectory prediction, includes the following steps: Step 1, extracting trajectory data to form a multi-target interactive scenario; Step 2, designing a model framework for multi-target interactive flight trajectory prediction based on SCINet network; the model captures the long-term temporal dependence, multi-level features, and multi-target spatial characteristics of the trajectory; the method used to capture the long-term temporal dependence and multi-level features of the trajectory is based on the SCIcross temporal feature extraction method; Step 3, inputting the observed trajectory information of the test into the trained model to obtain the predicted trajectory. This invention improves the accuracy of flight trajectory prediction in multi-target interactive scenarios within the same scene.

The application discloses a kind of equipment simulation model comprehensive credibility test and evaluation method, comprising: S1, multiple index system initial configuration is preset;S2, general test case set and the characteristic test case set for equipment model are constructed;S3, multiple credibility evaluation calculation method is preset and equipment model credibility index is calculated based on the multiple credibility evaluation calculation method;S4, multiple computing programs are preset and equipment model credibility evaluation result is calculated and output based on the multiple computing programs.It is also disclosed that system, device, electronic equipment and computer readable storage medium.