49 results about "Plant models" patented technology

The invention provides a simulation system and method for a typhoon rainstorm induced combined flow-slip disaster, and the system comprises a side slope simulation box which is used for simulating a side slope covered by vegetation; the wind load control system is used for simulating a wind load applied to the slope simulation box and controlling a wind load time history according to a set typhoon level; the rainfall control system comprises a variable-frequency water pump and is used for determining the rainfall intensity according to the set typhoon level, determining the target power of the variable-frequency water pump according to the rainfall intensity, simulating rainfall and controlling the rainfall time history; and the spatial three-dimensional visual data acquisition system is used for acquiring multi-section visual three-dimensional data of the three-mechanism coupling catastrophe simulation process of the slope model in real time under the action of the wind load, rainfall and the plant model. Through the application, the three-mechanism coupling catastrophe process of the slope model under the action of wind load, rainfall and the plant model is accurately simulated, the three-mechanism coupling catastrophe mechanism in the soil body is disclosed, and dynamic three-dimensional analysis of engineering is realized.

The invention provides a plant three-dimensional reconstruction method and system based on image segmentation and projection guidance, and is applied to the technical field of plant three-dimensional reconstruction, and the method comprises the steps: obtaining a multi-view image sequence of a target plant, the multi-view image sequence being plant images of the target plant collected from a plurality of angles; inputting the multi-view image sequence into a target detection model to obtain a plant positioning image set and a plant positioning frame output by the target detection model; taking the plant positioning frame as prompt input, and inputting the plant positioning image set into a preset image segmentation model to obtain a plant mask of the target plant output by the image segmentation model; performing mask processing on the multi-view image sequence based on a plant mask to obtain a pure multi-view image; and performing three-dimensional reconstruction based on the pure multi-view image through a 3D Gaussian scattering framework to obtain an initial three-dimensional plant model corresponding to the target plant. According to the invention, the interpretability and the three-dimensional contour definition of the plant structure can be improved.

Methods and systems are disclosed for modeling and decoding neural activities. A brain machine interface (BMI) measures neural activities. A processor receives signals corresponding to the neural activities from the BMI. The processor generates by applying a neural dynamics model signals corresponding to a de-noised state of the neural activities. By applying a BMI decoding model to the de-noised signals, the processor generates a control signal, which is used by a BMI plant model to generate a movement vector. An object is moved according to a predetermined path, in response to the movement vector and the current state of the object. In response to the object's movement, the BMI continuously measures the neural activities. Coefficients of the neural dynamics model and the BMI decoding model are iteratively updated, by executing a learning algorithm, in response to the BMI's continuous measurement.

The invention provides a virtual model generation method and device and electronic equipment, and the method comprises the steps: determining model morphological parameters in response to a model generation instruction for a plant model; wherein the plant model comprises a leaf part and a rhizome part; the model morphological parameters comprise leaf morphological parameters and rhizome morphological parameters; generating a basic leaf model based on a preset leaf contour of the plant model, and updating the form of the basic leaf model based on the leaf form parameters; generating a basic rhizome model based on a preset rhizome shape of the plant model, and updating the form of the basic rhizome model based on the rhizome form parameters; and combining the updated basic leaf model and the updated basic rhizome model to generate a plant model. According to the method, when the plant model is generated, the plant model with the vivid form can be generated through the related form parameters input by the user or the form parameters randomly generated by the system, the generation efficiency of the plant model is improved, and the labor cost is reduced.

The present disclosure provides a plant model processing method and device and electronic equipment. An initial plant model is obtained. The initial plant model includes a plurality of sub-models and a texture map. The texture map is used to indicate the color displayed on the surface of the sub-model and the transparency of the surface of the sub-model. Based on the texture map, a patch model in the plurality of sub-models is determined, and a corresponding entity model of the patch model is generated. Based on the initial plant model and the entity model, a target plant model is generated. This way can generate a high-precision plant model based on a low-precision plant model, improve the generation efficiency of the high-precision plant model, and reduce the labor cost.

To provide a method and a system for monitoring and / or controlling a chemical plant having a plurality of assets.SOLUTION: A method includes the steps of: providing containerized application including input data, output data, and an asset or plant template for specifying an asset or plant model; deploying the containerized application, and executing the deployed application in at least one of deployed layers; allocating the deployed layers on the basis of the input data, a load indicator or a system layer tag; executing the containerized application in the allocated deployed layer, and generating the output data for controlling and / or monitoring a chemical plant; and providing output data generated to control and / or monitor the chemical plant.SELECTED DRAWING: None

A method is disclosed for monitoring and / or controlling a chemical plant (12) with multiple asset sets through a distributed computing system (10) with more than two deployment layers (14, 16, 30, 32, 34), where the deployment layers (14, 16, 30, 32, 34) comprise at least two of a first processing layer (14), a second processing layer (16, 32, 34), and an external processing layer (30). The method comprises the steps of: - providing (60) a containerized application (48, 50) that includes an asset or plant template specifying input data, output data, and an asset or plant model, - deploying (62) the containerized application (48, 50) to run on at least one of the deployment layers (14, 16, 30, 32, 34), where the deployment layer (14, 16, 30, 32, 34) is assigned based on input data, a load indicator or a system layer label, and the application runs in containers (46, 52,54) in the assigned deployment layer(s) (14, 16, 30, 32, 34) to generate output data to control and / or monitor the chemical plant (12), - providing (66) the generated output data to control and / or monitor the chemical plant (12).,

The application provides a kind of multi-dimensional sound scene ecological element space layout optimization method and system, belongs to mechanical vibration measurement technical field field, this method includes integration three-dimensional point cloud and environmental parameter construction digital basement, establishes the native plant model containing growth and acoustic characteristics, generates the space sound effect contribution degree pressure field representing the noise reduction potential by reverse sound wave ray tracing, constructs the plant growth agent driven by the pressure field, runs the symbiotic simulation engine to generate the morphological dynamic evolution sequence, calculates the acoustic performance, ecological stability and landscape robustness index, and uses it as the fitness evaluation basis of evolution algorithm, iteratively optimizes the initial planting layout, the application realizes the coupling of acoustic physical simulation and plant growth competition logic, is used to guide the long-term planning and species configuration of ecological garden, improves the sound environment quality and succession stability of landscape.

The computer-implemented method for providing a plant operation support system includes obtaining a plant model that models the operation of a plant. It involves simulating, by means of the plant model, different possible futures of a plant state at a time starting from an initial simulation plant state at an initial time, where each possible future of a plant state corresponds to an adjustment action among a plurality of potential adjustment actions and / or a fault source among a plurality of potential fault sources associated with an alarm and / or an unexpected plant behaviour. The method further includes analysing and scoring, by means of an exploratory method, the possible futures of a plant state to obtain, for the possible futures of a plant state, a respective benefit score of the corresponding potential adjustment action and / or a respective likelihood score of the corresponding potential fault source. It determines at least one of the following: one or more proposed adjustment actions among the plurality of potential adjustment actions based on the benefit score of the corresponding potential adjustment action; a ranking of adjustment actions among the plurality of potential adjustment actions in terms of their outcome based on the benefit score of the corresponding potential adjustment action; a proposed fault source among the plurality of potential fault sources, wherein the proposed fault source is predicted to be a root-cause of and / or to contribute to the alarm and / or the unexpected plant behaviour based on the likelihood score of the corresponding potential fault source; a ranking of fault sources among the plurality of potential fault sources in terms of their outcome based on the likelihood score of the corresponding potential fault source.

The invention relates to the technical field of nuclear island structure testing, and provides a nuclear island structure contact surface mechanical property detection device and method. Comprising a vibration table, a second plant model arranged on the table top of the vibration table in a pouring mode, a first plant model arranged on the second plant model in a pouring mode and a sensor unit arranged on the first plant model and / or the second plant model, and the sensor unit is at least used for obtaining mechanical parameters. By pouring the first plant model on the second plant model, the device can truly reproduce the contact relation of pouring first and pouring later and the interface forms of concrete-concrete and concrete-steel plates, and the vibration table is used for applying earthquake dynamic load and can be integrated with a weighting device, a temperature control system and the like to realize a static load-temperature-dynamic coupling test.

The invention discloses a post-disaster structure prediction method and device, a storage medium and electronic equipment, and the method comprises the steps: collecting the three-dimensional data of a nuclear power plant building, obtaining a building model, and constructing a structural finite element model according to the building model, the building model comprising a plant model and a containment model; determining a simulation working condition, performing calculation and analysis according to the structural finite element model and the simulation working condition to obtain a damage type and calculation time consumption, and determining an evaluation model according to the damage type and the calculation time consumption; and arranging a displacement sensor and a strain sensor on the nuclear power plant building according to the evaluation model and the sensor arrangement rule, collecting displacement data generated by the displacement sensor, and constructing a state initialization analysis model according to the displacement data.

A method for evaluation of chiller plant operation economy is disclosed. The method comprises receiving a first set of data associated with each chiller over a training interval; generating a ML model for each chiller; deploying the generated ML model to a model of each chiller over a ranking interval; receiving a second set of data associated with each chiller, from the sensors; averaging second set of data for each type of sensor across chillers; determining a power consumption of the ML model of each chiller and comparing it over the ranking interval to determine a best ML model; deploying the ML models to an non-degraded chiller plant model and the best ML model to an ideal chiller plant model; comparing the sum of measured actual power consumptions of chillers with calculated consumptions of a non-degraded chiller plant model and ideal chiller plant model to determine estimated potential of savings.

This invention provides a real-time bending and shaping method for virtual plants based on adjustable stiffness weights. The method involves configuring virtual plant parameter information and generating a parameterized plant model. The parameter information includes at least plant parameter information, plant control parameter information, and environmental parameter information. When the interactive mode is activated and the plant end is dragged, the end of the plant model is acquired and fixed at the target dragged position. Based on the target dragged position, the dragged virtual plant structure undergoes weighted inverse dynamic bending processing and interpolation. Based on the updated dragged virtual plant structure, other branch structures of the virtual plant are updated synchronously. The overall updated virtual plant structure is subdivided and subjected to Catmull-Rom curve interpolation. The interactive mode is then terminated, and the currently updated virtual plant structure is solidified. This invention uses gradual stiffness, mass curves, and weak bending moment constraints to make the bending shape of the virtual plant highly similar to the stress on real branches.

The present invention comprises: an input unit; a grid setting unit that converts a three-dimensional space into a grid that is a three-dimensional grid space; an input tensor generation unit that generates, for each loop, a grid-entity matrix according to unique information of entities and a statistical existence probability for each grid of each entity, and an input tensor for an attention calculation of each loop; a memory storing attention weights and linearity item information; an attention unit that calculates an entity arrangement result of a loop by performing the attention calculation according to attention variables corresponding to each loop; and a control unit that determines an arrangement position of each entity in the three-dimensional space, detects entities to be connected by a linearity item, determines a trajectory and the type of the linearity item connecting the entities, and generates a plant model including arrangement positions of the entities and a linearity item arrangement including the determined trajectory and the determined type of the linearity item.

This application relates to a visual navigation method, system, device, and medium for a servo robot, applied to the field of robot navigation technology. The method includes obtaining panoramic image data and image scale data of a target farmland; constructing a three-dimensional farmland model of the target farmland based on the panoramic image data and image scale data; obtaining crop identification data and weed identification data of the target farmland, a servo robot's peripheral visual image, and robot position information; generating a three-dimensional plant model based on the crop identification data and weed identification data; constructing a working farmland environment model based on the three-dimensional farmland model and the three-dimensional plant model; and constructing a visual navigation route for the servo robot based on the peripheral visual image, robot position information, and the working farmland environment model. This application has the effect of enabling precise navigation and control of the robot based on actual environmental characteristics.

To provide a pumped storage power generation plant simulation device, a simulation method and a simulation system capable of simulating a power generation status of a plant mounted with a plurality of water pumps that can form a circulation water passage.SOLUTION: A pumped storage power generation plant simulation device comprises: a scenario generation section; a plant model generation section; an execution section; and a selection section. The scenario generation section generates a plurality of first scenarios for a first water pump and a plurality of second scenarios for a second water pump. The plant model generation section generates a pipe conduit system model simulating pressure fluctuations in a pipe conduit and a water pump model including a plurality of turbine models. The execution section causes the water pump model to perform a simulation test for each combination of the plurality of first scenarios and the plurality of second scenarios. The selection section selects a combination of scenarios in which the pressure fluctuation in the pipe conduit meets a predetermined criterion based on the simulation tests.SELECTED DRAWING: Figure 1

This invention discloses a method and system for constructing a simulated plant model based on 3D modeling, belonging to the field of 3D modeling technology. The method includes the following steps: constructing a spatial association mapping of skeletal nodes; calculating initial values ​​of weight distribution between nodes based on spatial distance, angle, and torsion direction parameters; and performing adaptive weight redistribution operations on branch and joint regions based on the established initial weight distribution values. By dynamically adjusting the weight ratio along the energy conduction path, a smooth transition of weights is achieved at locations where the energy transfer rate changes. This invention, by constructing a spatial association mapping of skeletal nodes and initializing the weight distribution, combined with adaptive weight adjustment, energy direction tracking, and zonal constraint control, ensures continuous energy conduction along the skeletal path and introduces closed-loop feedback to dynamically update the weight relationship, thereby suppressing energy reflection and error accumulation, and improving the morphological continuity, mechanical stability, and long-term dynamic realism of the simulated plant model.

This invention belongs to the field of computer vision technology and discloses a data synthesis and enhancement method based on digital twins and generative AI. It constructs a digital plant model through 3D image reconstruction, utilizing multi-view images and computer vision technology. A dataset is synthesized based on the 3D model. Two-dimensional images and annotations are obtained through 3D graphics software design and rendering. The synthesized dataset is then tested, and a 3D plant model is generated using generative AI. The synthesized data is used for training. This invention utilizes computer-generated data enhancement to solve the problem of insufficient training data for deep learning algorithms such as image segmentation. Furthermore, it enhances the synthesized data using generative artificial intelligence and digital twin technology. It constructs a digital model of a real-world plant using 3D reconstruction technology and generates a 3D digital plant model using generative AI technology. This method of generating synthesized data solves the problem of difficulty in obtaining training data in image segmentation tasks.

The invention relates to the technical field of computer graphics and digital content generation, and discloses a programmed digital plant growth simulation method and system. The method comprises the following steps: firstly, carrying out skeletal preprocessing on an input three-dimensional plant model, extracting a point sequence through an iterative algorithm based on a plane starting point, and constructing a hierarchical skeletal system; then, a growth path and a form rule are defined by using the nodal visual special effect graph; then, adopting a physically guided skeleton spreading algorithm, and controlling natural bending growth of the skeleton through vector force; and finally, performing multi-platform rendering output adaptation, and generating special effect resources compatible with a game engine and a film and television rendering pipeline. According to the technical scheme, high-efficiency and high-precision programmed plant growth simulation is achieved, and the technical bottleneck of a traditional method in the aspects of natural form spreading and artistic control is solved.

The invention discloses a data extraction method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a plant model, wherein the plant model is a three-dimensional model of a plant; according to the grid information of the plant model, structural data of a plant in the plant model is extracted, the structural data comprises hierarchical structure data and pivot point data, the hierarchical structure data represents hierarchies included in the plant model, and the pivot point data represents data related to joint positions of plant growth in the plant model; based on the structure data of the plant, a data structure chart corresponding to the plant model is generated, and the data structure chart is used for generating animation related to the plant. According to the method, the data extraction efficiency is improved.

The embodiment of the invention provides a three-dimensional plant generation method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a two-dimensional image of a plant; generating an initial grid structure of the plant based on the two-dimensional image, wherein the initial grid structure is used for representing a rough three-dimensional model of the plant; sampling the initial grid structure to obtain an initial point cloud of the plant, the initial point cloud being used for representing a three-dimensional architecture of the plant; based on the initial point cloud, a branch point cloud of the plant is generated, and the branch point cloud is used for representing a three-dimensional branch vein of the plant; generating branches of the plant based on the branch point cloud; and adding leaves on the branches to obtain a fine three-dimensional model of the plant. According to the method, the three-dimensional model of the plant can be generated directly based on the original picture or the photograph of the plant without depending on a sketch drawn by a user, detail features of the plant can be better captured, and the generated fine three-dimensional model is more vivid.

The invention discloses a key point determination method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps that a leaf part of a plant model is obtained, the plant model is a three-dimensional model of a plant, and the leaf part comprises at least one type of leaves; according to the grid information corresponding to the at least one type of leaves, anchor points corresponding to the at least one type of leaves are selected, the anchor points are used for assisting in determining key points, and the key points are points related to leaf growth; based on the anchor points corresponding to the at least one type of leaves and the grid information corresponding to the at least one type of leaves, key points corresponding to the at least one type of leaves are determined, and the key points corresponding to the at least one type of leaves are used for determining structure data of the plant. The structural data of the plant is used to generate animations related to the plant. According to the method, the key point determination difficulty is reduced.

To shorten the time required for calculating the condition diagnosis of a water treatment base.SOLUTION: The situation diagnosis support system of a water treatment base, comprises a memory memorizing a plurality of unit models, i.e., Bayesian network models corresponding to each of a plurality of water treatment units in the base, a base model generation unit generating the Bayesian network models of the water treatment base, a conditional probability distribution set on the node present in the unit model and a calculation unit calculating a probability distribution based on a probability distribution inputted from another node. The unit model comprises an input port functioning as an assigning point for the probability distribution calculation result, and an output port functioning as an extraction point for the probability distribution calculation result. The base model generation unit connects the output port of the first unit model and the input port of the second unit model to generate the Bayesian network model of the water treatment base. The probability distribution calculation result calculated in the first unit model, is assigned to the second unit model.SELECTED DRAWING: Figure 1

The invention relates to a method for determining control values ​​of a manipulated variable for a pressure medium supply system of a hydraulic system with at least one hydraulic consumer (10), wherein the pressure medium supply system comprises a hydraulic machine (2) and an electric drive (4, 6) coupled thereto and is controlled by the manipulated variable, wherein an inverse plant model (47) is given for the hydraulic system, which uses values ​​of a state variable to be controlled of the hydraulic system and of time derivatives of the state variable up to a predetermined maximum order as input values ​​and maps these to an output value for the manipulated variable; comprising determining (110) trajectory values ​​(36) of a trajectory for the time course of the state variable and derivative values ​​(38, 40) for time derivatives of the course of the state variable up to the maximum order from predetermined setpoint values ​​(32) for the state variable;Determining (120) compensation values ​​(73) with a compensation controller (75) from a control deviation (61) between the trajectory values ​​(36) and actual values ​​(54) of the state variable; and determining (130) manipulated values ​​(50) for the manipulated variable using the inverse plant model (47) from the trajectory values ​​(36), the derivative values ​​(38, 40) and the compensation values ​​(73).

The application discloses a kind of dynamic simulation methods of multiple physical processes of sea grass seed drift planting, belong to the field of sea grass seed drift prediction.The method comprises the following steps: a, determine the environmental suitability condition of sea grass seed, and judge whether sea grass seed is alive;B, establish a sea grass seed drift planting model;For the movement process of the sea grass seed that has not yet planted in marine environment is influenced by sea current, turbulent disturbance, and will also settle in the movement process due to its own nature;For the sea grass seed that has planted, because it has integrated into the bottom material, its movement state is not affected by marine environment;C, for the sea grass seed that is judged to be alive, the established sea grass seed drift planting model is used to carry out dynamic simulation prediction of multiple physical processes.The application can improve the dynamic simulation precision of sea grass seed in natural scene by establishing a sea grass seed drift planting model coupled with multiple elements, and integrating the movement characteristics of sea grass seed, environmental survival conditions and bottom material adaptability.

The invention discloses a special plant modeling growth regulator device and a using process thereof, and relates to the technical field of databases, the device structurally comprises a regulating part, a color-changing indicator lamp and a growth monitoring sensor, the device integrates modeling regulation and growth state monitoring, intelligent multifunctional regulation is achieved, and the device is convenient to use and popularize. Through the adjustable main body frame, the supporting arm and the fixing clamp structure, according to the characteristics and growth requirements of different plants, the growth direction and posture of the plants are flexibly adjusted, a unique shape is formed, various built-in sensors can monitor the growth environment of the plants in real time, and the color change of the color-changing indicator lamp is controlled according to data of the sensors; by means of the intelligent design, the device can automatically adapt to the growth law of plants, the growth trend is predicted in advance, early warning is given out, a user can take corresponding measures in time, and great convenience is brought to the user.

The invention provides a virtual plant real-time bending shaping method based on an adjustable rigidity weight, parameter information of a virtual plant is configured, a parameterized plant model is generated, and the parameter information at least comprises plant parameter information, plant control parameter information and environment parameter information; when the interaction mode is activated and the tail end of the plant is dragged, obtaining and fixing the tail end of the plant model at a dragging target position; according to the dragged target position, weighted inverse dynamic bending processing and interpolation processing are carried out on the dragged virtual plant structure; according to the updated dragged virtual plant structure, synchronously updating other branch structures of the virtual plant; subdivision and Catmull-Rom curve interpolation processing are carried out on the virtual plant structure after the overall updating is carried out on the virtual plant structure; and ending the interaction mode and carrying out solidification operation on the currently updated virtual plant structure. According to the method, the bending form of the virtual plant is highly attached to the stress of a real branch through gradual rigidity, a mass curve, weak bending moment constraint and the like.

Disclosed is a method for monitoring and / or controlling a chemical plant (12) with multiple assets via a distributed computing system (10) with more than two deployment layers (14, 16, 30, 32, 34), wherein the deployment layers (14, 16, 30, 32, 34) comprise at least two of a first processing layer (14), a second processing layer (16, 32, 34) and an external processing layer (30), the method comprising the steps of:providing (60) a containerized application (48, 50) including an asset or plant template specifying input data, output data and an asset or plant model,deploying (62) the containerized application (48, 50) to execute on at least one of the deployment layers (14, 16, 30, 32, 34), wherein the deployment layer (14, 16, 30, 32, 34) is assigned based on the input data, a load indicator, or a system layer tag, and executing the containerized application (46, 52, 54) on the assigned deployment layer(s) (14, 16, 30, 32, 34) to generate output data for controlling and / or monitoring the chemical plant (12),providing (66) the generated output data for controlling and / or monitoring the chemical plant (12).

To provide a plant model construction device that can achieve appropriate operation support of plants.SOLUTION: Provided is a plant model construction device comprising a common model construction unit for constructing a common model, which is a physical model based on plant data from a plurality of plants, and an individual model construction unit for constructing an individual model to control a prescribed target plant on the basis of the common model. Provided is also a plant model construction method comprising a step of constructing a common model, which is a physical model based on plant data from a plurality of plants, and a step of constructing an individual model to control a prescribed target plant on the basis of the common model.SELECTED DRAWING: Figure 1

This invention discloses a high-throughput 3D reconstruction method and system for potted plants based on stereo calibration, comprising the following steps: fabricating a stereo calibration box; placing the potted plant in the stereo calibration box and acquiring images using a camera to obtain an image sequence of each plant rotating one revolution; obtaining the camera intrinsic parameter matrix and identifying calibration points in the image sequence to obtain the extrinsic parameter matrix for each image; segmenting and color rendering the plant regions in the image sequence to obtain a binary image of the plant; performing 3D reconstruction using a voxel sculpting method based on the binary image of the plant, the camera intrinsic parameter matrix, and the extrinsic parameter matrix of each image to obtain a plant model; and performing back-projection coloring on the plant model to finally obtain a colored plant model. This invention achieves high-throughput, fully automated 3D reconstruction of potted plants throughout their entire growth period, and the reconstructed point cloud retains the original plant scale, facilitating subsequent phenotypic extraction and other tasks.