91 results about "Connection model" patented technology

The invention relates to an electrical equipment fault monitoring and positioning method and system based on data analysis, and belongs to the technical field of electrical equipment monitoring. The method comprises the following steps: sensing a transient traveling wave signal of a fault current by adopting a traveling wave detection technology to determine an initial fault area; acquiring state data of the secondary equipment in the fault area through mapping of the secondary equipment in the fault area; constructing a secondary loop connection model based on the configuration file, and designing an action sequence rule base to verify the action logic and time sequence matching of a regional data centralized protection device, a circuit breaker and a communication link in real time; based on logic verification, action triggering conditions are extracted to be fused with the regional data set; and inputting the fault feature vector into a classification model for fault identification by obtaining the classification model. According to the invention, through traveling wave detection, EEMD decomposition, data synchronization and logic verification, feature information related to the fault is accurately extracted, and through data fusion and real-time learning, the fault identification precision and efficiency are improved.

The invention relates to a real-time power grid topology analysis method based on a graph neural network, and the method comprises the steps: firstly, carrying out the electrical topology analysis at a substation level through constructing an optimized power system physical connection model, carrying out the electrical topology analysis in combination with a label propagation algorithm (LPA), precisely recognizing a calculation region, optimizing the division of the calculation region through employing the graph neural network (GNN), and enhancing the topology adaptability, mistaken division is reduced; and the robustness of equipment state change is improved. Besides, according to the method, the real-time performance, the accuracy and the intelligent level of power grid topology analysis are further improved by predicting the influence of the state change of the circuit breaker and the disconnecting switch on the power grid topology and training a GNN model and reinforcement learning (RL) optimization region division strategy through historical data. And finally, bus-branch connection is optimized through depth-first search (DFS), the topology integrity is ensured, and the efficiency of electrical island analysis, power supply area division and fault recovery is remarkably improved. The real-time performance, the accuracy and the intelligent level of power grid topology analysis are effectively improved.

The invention discloses a project progress, quality and safety collaborative management and control system and method based on BIM and Internet of Things, and belongs to the technical field of constructional engineering informatization management. In order to improve engineering management efficiency and reliability, the system comprises a data acquisition layer, a data processing layer, an application layer and a security module. The data acquisition layer is connected with the data processing layer, the data processing layer is connected with the application layer, and the security module is respectively connected with the data acquisition layer, the data processing layer and the application layer; the data acquisition layer comprises IoT equipment, an external data interface, data middleware and a BIM model, the IoT equipment acquires data through the external data interface, the IoT equipment is connected with the BIM model through the data middleware, and the data processing layer comprises a multi-source data fusion engine and an intelligent algorithm module; the application layer comprises a model management module, a model display module, an early warning management module, a data management module, a three-dimensional visual monitoring platform, an intelligent decision center and a mobile terminal module. The project management efficiency is improved.

The invention relates to the technical field of mechanical arm modeling, and particularly discloses a picking mechanical arm coupling dynamics modeling method and device, a terminal and a readable storage medium. The method comprises the steps that the structural composition of the picking mechanical arm is obtained, and a structural model is established; constructing a connecting rod coordinate system of adjacent joints based on an improved D-H parameter method; establishing forward and inverse kinematics models based on the connecting rod coordinate system; parameters of flexible elements in the mechanical arm are collected, and a joint flexible connection model and an elastic dynamic model are constructed; and further introducing a coupling constraint condition, and forming a coupling dynamics modeling framework by combining the elastic dynamics model and the overall dynamics model. According to the model, joint flexibility, structural vibration and dynamic response nonlinear characteristics can be considered, the modeling precision and control robustness of the picking mechanical arm under complex working conditions are improved, and the model is suitable for modeling and control algorithm design of the mechanical arm of a flexible structure.

The invention discloses a layout design method and device, electronic equipment and a readable storage medium, and relates to the technical field of chips.The layout design method comprises the steps that a quantum device construction list and a quantum device connection list are obtained; on the basis of the quantum device construction list, instantiating various types of quantum device models; on the basis of each instantiated quantum device model, constructing each quantum device corresponding to the quantum device construction list; based on the quantum device connection list, the quantum device construction list, a connection model and a device anchor point rule, determining a starting point anchor point coordinate and an end point anchor point coordinate corresponding to each connection line relation in the quantum device connection list; the device anchor point rule comprises a device static anchor point rule and a dynamic anchor point calculation script; and on the basis of the starting point anchor point coordinates and the terminal point anchor point coordinates corresponding to the connection line relationships, carrying out connection line path generation on the constructed quantum devices to obtain a quantum chip layout of the quantum devices.

The invention provides a parameterization design method and system for infilled wall-frame flexible connection, and relates to the technical field of parameterization design. The method comprises the following steps: establishing a unitized model of the flexible connection structure, performing performance analysis based on boundary conditions, and forming performance trend data of the unitized model; target boundary condition information is collected, connection structure combinatorial analysis is carried out in combination with unit model performance trend data, and a target initial flexible connection model is formed; and performing overall optimization design analysis on the target initial flexible connection model to form overall analysis result data. According to the method, reasonable parameterization design can be carried out on the flexible connection structure of the concrete frame structure and the masonry filler wall, so that the design efficiency and reliability are improved.

A method and system for building and implementing a meta-machine learning (meta-ML) optimization engine for a neural network (NN) or a machine learning (ML) connective model. A computer processor may iteratively simulate a backpropagation algorithm by executing a sequence of optimization steps. At each optimization step a position of a loss function may be determined that may be closer than a previously determined position of the loss function to a local minimum. A computer processor may compute and store after each iteration a detachment of the loss function, learning rate, and optimal learning rate. A computer processor may train a machine learning connective model to model the optimal learning rates of the simulated backpropagation algorithm. The meta-ML optimization engine may be implemented for a NN or ML connective model by generating a modified backpropagation algorithm in which algorithmic features of gradient descent may be replaced by the meta-ML optimization engine.

Example systems and methods for optimizing resource allocations are provided. A computing device constructs a connection model based on a predetermined total resource allocation, a predetermined number of communication channels, multiple total target numbers of connected entities from multiple target groups, and multiple resource distribution parameters associated with the predetermined number of communication channels and the multiple target groups. The multiple resource distribution parameters for the connection model in a subsequent period can be learned and updated using an online reinforcement learning algorithm. The computing device determines optimized resource allocations for the predetermined number of communication channels in the subsequent period based on the connection model and the current connection data using one or more convex optimization algorithms.

The invention relates to a low-delay vehicle active service caching and task unloading method for the Internet of Vehicles. The method comprises the following steps: step 1, constructing a C-V2X-based vehicle edge computing system architecture; step 2, constructing a vehicle connection model based on social mobile perception, and establishing V2V pairing for task unloading and service acquisition; 3, constructing an edge-end cooperative vehicle task unloading model, and minimizing task completion time delay; 4, a multi-path collaborative vehicle active service cache model is constructed, and a service vehicle actively selects a service acquisition path with the minimum time delay; 5, establishing a series of constraint conditions according to the network topology, the time delay tolerance requirement and the resource limitation by taking the minimum total task completion time delay as a target function, and constructing an overall optimization problem; and step 6, solving to obtain an approximate optimal decision, and realizing vehicle active service caching and task unloading. According to the invention, the total vehicle task completion time delay is obviously reduced, and the system resource utilization rate is improved.

A method for training large language models (LLMs) and using them for inference including a base LLM, creating connected models while training the base LLM by coupling multiple trained base a parallel, series, or hybrid architecture, creating specialized connected language models for different specialized processing tasks by supplementally training two or more connected models different respective training sets, supplementally training a subset of connected language models by selectively routing one or more training data inputs to one or more specialized connected language models of the plurality of specialized connected language models responsive to at least one of accuracy optimization and task specialization, providing test prompt sets to the subset, evaluating an accuracy metric of the outputs from the subset, and routing prompts or derived prompts to the subset.

The invention discloses a tunnel and superstructure three-dimensional cooperative deformation monitoring system and method.The system comprises a model box, a tunnel convergence mechanism is arranged in the model box and comprises an inner sleeve with two open ends and an outer sleeve with one open end, and the inner sleeve is sleeved with the outer sleeve in a sliding mode; the outer sleeve is in transmission connection with the telescopic mechanism located in the inner sleeve. A test soil body used for filling the tunnel convergence mechanism is arranged in the model box, an upper structure model is placed on the surface of the test soil body, the upper structure model comprises a base plate placed on the surface of the test soil body, and a structure frame is arranged on the base plate; according to the scheme, accurate simulation of the stratum disturbance transfer effect and the response of the upper structure in the whole tunnel construction process and real-time monitoring of the base contact stress and the structural deformation are achieved, and necessary test support is provided for subsequent related theories and response research of actual tunnel underneath passing urban building groups.

The invention discloses a method for quickly generating a change report of a steel structure BIM model in Tekla. The method comprises the following steps: step 1), opening a deepening BIM model of Tekla; step 2), opening the software provided by the method; step 3), connecting a model database, and selecting parts related to change in the model; step 4), the operation software outputs a model data file before change; (5) after the change treatment is finished, a changed part is selected; step 6), the operation software outputs the changed model data file; step 7), operating software provided by the method to process the data files output twice to generate a change report; according to the method, the statistics of the generated change results is efficient and accurate, the change results are accurately and efficiently written into the drawing database, the labor intensity of workers is reduced, and the change processing efficiency is improved.

The invention provides a mining area continuous deformation monitoring method and system based on an InSAR technology, and belongs to the technical field of mining area surface deformation monitoring, and the method comprises the steps: connecting a discontinuous InSAR deformation monitoring result based on a mining area single-point settlement rule, and achieving the mining area deformation monitoring in an SAR data coverage period; a point-by-point mining area deformation connection model is constructed based on a function conforming to a mining area single-point deformation evolution law (following an S-type growth mode), namely a Weibull function. Meanwhile, adopting GA-PSO calculation to construct model initial parameters, and adjusting the model initial parameters according to the point position residual error and the model parameter distribution rule; and setting upper and lower limits according to initial parameters of the model, and solving final model parameters by adopting a least square method based on a trust region reflection algorithm, so as to obtain the deformation of the mining area in the monitoring period. The space-time filling of discontinuous InSAR deformation monitoring is realized, and the detection accuracy is improved.

The invention provides a fastener multi-load state simulation finite element modeling method with one-way compression inhibition. Comprising the following steps: 1) designing a multi-unit collaborative modeling structure; 2) designing an asymmetric load transfer mechanism; and 3) designing a calculation efficiency optimization strategy. The technical problems that in traditional entity unit modeling, computing resource consumption is large, force transmission path simulation is inaccurate, and fastener connection modeling is difficult are solved.

The application provides a foam slurry thermal insulation material thermal conductivity prediction method, a series-parallel connection fractal model corrected by a fractal dimension is established, comparative analysis is conducted on the series-parallel connection model, a series-parallel connection fractal thermal conduction prediction model containing water is established, the thermal conductivity of the foam slurry thermal insulation material can be accurately calculated, and the thermal conductivities of the materials with different moisture contents and water contents are calculated, so as to guide the test by using the above model.

The application discloses a tunnel co-seismic stick-slip faulting test device and method, which comprises a profile steel outer frame, a model box arranged in the profile steel outer frame, an elastic energy storage device and a trigger-energy release device connecting the upper part of the model box and the profile steel outer frame, a model box base supporting the model box, a vibration table connected with the profile steel outer frame and the bottom of the model box base, and an actuator arranged at the bottom of the model box and supported by the model box base. The model box comprises an upper disc box and a lower disc box, and the upper disc box and the lower disc box are arranged in left-right adhesion, and the adhesion surface is a faulting surface. The elastic energy storage device, the trigger-energy release device and the actuator are arranged on the same side of the faulting surface. The application can simulate the tunnel co-seismic stick-slip faulting test considering the impact effect and a large number of stick-slip rates, restore the whole process of the tunnel earthquake and the stick-slip faulting in the earthquake, and thus reveal the earthquake-stick-slip faulting response damage mechanism, so as to provide support for the anti-fault and shock resistance of the tunnel crossing the active fault.

Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for planning a medical procedure is configured to receive a three-dimensional (3D) model of an anatomic region of a patient. The 3D model can include a set of linked structures and at least one isolated structure spaced apart from the linked structure. The system can output a graphical representation of the linked structures and the at least one isolated structure, and can receive operator input indicating a set of locations on the graphical representation. The set of locations can represent a connection between the at least one isolated structure and the linked structures. Based on the operator input, the system can generate a bridge structure connecting the at least one isolated structure to the linked structures.

This application provides a method for monitoring and adjusting the sealing integrity of modular construction in cleanroom HVAC workshops, comprising: acquiring real-time data of sealing materials from a sensor array to generate sealing status information characterizing sealing integrity; analyzing the performance degradation trend of the sealing materials based on the sealing status information to generate adjustment signal data for adjustment; acquiring environmentally relevant information through the adjustment signal data and integrating it into a dynamic adjustment model to obtain an optimized sealing parameter configuration; determining the air leakage risk based on the optimized sealing parameter configuration and updating the connection model of the modular components; extracting airtightness assessment indicators from the connection model to obtain intervention priority data; adjusting the dynamic adjustment parameters based on the intervention priority data to generate final sealing reinforcement instruction information; updating the data stream of the real-time monitoring system through the sealing reinforcement instruction information to determine the stable output of the cleanliness level and feed it back to the production reliability assessment.

The invention discloses a web vectorization hierarchical display method based on an electronic sea chart sheet, and relates to the technical field of sea chart display, and the method comprises the steps: carrying out the characterization extraction processing of a sea chart three-dimensional model, and obtaining a sea chart sub-model; obtaining connection models of the sea chart sub-models and connection preference of each connection model; performing layering processing on the three-dimensional sea chart model based on the real-time analysis elements, and displaying the three-dimensional sea chart model after layering processing in a web; the method is used for solving the problems that in an existing web display method for the electronic sea chart sheet, vectorization layering cannot be carried out on an electronic sea chart displayed in a web according to elements needed by a user, so that when the user browses sea chart data in the web, needed data cannot be obtained in a targeted mode on the basis of the requirements of the user, and the user experience is poor. And the analysis speed of the user on the chart data is reduced.

The invention discloses an oil refining model generation method and a visual display method and device. The method comprises the following steps: creating a single device model for each device based on a molecular database and a chemical reaction rule base in the oil refining field; according to the cutting condition output by the single device model, constructing a logistics connection model with a downstream single device model; according to the whole-process technological processes of the historical production schemes in different time periods, the logistics connection model is connected with a downstream single device model, and a whole-process model of each historical production scheme is constructed; and according to historical raw material information, performing simulation calculation on the whole-process model of each historical production scheme to obtain and store a result log, and based on this, providing a whole-process display function of the historical production scheme for a user through a visual UI, so that the user can visually understand the process of different production schemes in different time periods of refinery equipment, and the user experience is improved. Historical process data can be conveniently traced, and production schemes and process changes can be tracked.

The application discloses a web vectorization layered display method based on an electronic chart sheet, relates to the technical field of chart display, and comprises the following steps: performing characteristic extraction processing on a chart three-dimensional model, and acquiring a chart submodel; acquiring a connection model of the chart submodel and a connection preference of each connection model; performing layered processing on the chart three-dimensional model based on real-time analysis elements, and displaying the chart three-dimensional model after the layered processing in a web; and the application is used for solving the problem that, in the web display method of the existing electronic chart sheet, the electronic chart displayed in the web cannot be vectorized and layered according to the required elements of a user, so that the user cannot acquire the required data based on the demand of the user when browsing the chart data in the web, and the analysis speed of the user on the chart data is reduced.

The application provides an energy-saving method, device, equipment and medium of a data center, which is used for accurately recommending parameter values of controllable parameters of each refrigeration equipment of the data center, so as to realize energy saving and consumption reduction of the data center. The method comprises the following steps: for each controllable parameter of each refrigeration equipment of the data center, each parameter value in the parameter value limit range of each controllable parameter is traversed respectively, each time the traversal is performed, based on a series connection model composed of function prediction models of each refrigeration equipment, in combination with the parameter values of each controllable parameter in this time of traversal, parameter values of function parameters of each refrigeration equipment are obtained; if the parameter values of each function parameter meet a safety condition, through an energy consumption prediction model of any refrigeration equipment, based on the parameter values of the corresponding function parameters, a predicted energy consumption of the refrigeration equipment is obtained, and then a predicted total energy consumption is obtained; based on the predicted total energy consumptions obtained through multiple traversals, a predicted total energy consumption meeting a preset condition is selected, and the corresponding parameter values of each controllable parameter are combined as recommended parameter values.

The invention discloses a BIM-based cable intelligent optimization system and method, the system is composed of an electrical system diagram module, a fast connection model module and a cable laying module, the electrical system diagram module can perform data interaction with an electrical BIM model, cable model basic data is imported, and the fast connection model module is connected with the cable laying module; the method comprises the following steps: identifying and reading imported electrical design drawing information, and analyzing identified electrical information data to identify abnormal data information; the quick connection model module can quickly communicate the component system based on a one-to-one connection rule in the electromechanical model; and the cable laying module can simulate the actual arrangement scene of the cables of each power distribution system in the electrical BIM model, perform comparison and analysis of various schemes according to different design requirements and laying scenes, and generate an optimal cable arrangement scheme. According to the scheme, automatic examination of an electrical system diagram, intelligent planning of a cable path, accurate calculation of a bridge filling rate, automatic export of a cable quantity list and optimization of cable arrangement are realized, and the overall quality and efficiency of building electrical construction are improved.

The invention discloses an Ansys workbench model scheduling method and device, and the method comprises the steps: calling a loading interface function of an internal interface of a self-packaged Ansys workbench model through an interface of a scheduling engine to load the Ansys workbench model, and after the loading is completed, connecting the Ansys workbench model. And calling a scheduling interface function of the internal interface through an interface of the scheduling engine to send a scheduling message to the macro program segment. And receiving a scheduling message through the macro program segment, analyzing the scheduling message to obtain a scheduling instruction, and calling an internal interface of the Ansys workbench model according to the scheduling instruction to execute an operation corresponding to the scheduling instruction. By applying the scheme provided by the invention, the Ansys workbench model can be automatically scheduled without manual participation, so that the time consumption is reduced, and the efficiency is improved.

To provide a pipeline diagram creation device capable of maintaining the convenience of creation of a three-dimensional pipeline diagram.SOLUTION: A pipeline diagram creation device (1) includes: a creation section (32) for creating such a three-dimensional main body part that a main body part of a pipe member is three-dimensionalized on the basis of information on thickness and length of the pipe member; an integration section (33) for integrating a three-dimensional connection model (431) corresponding to the three-dimensional main body part with the three-dimensional main body part; and a display control section (34) for displaying the three-dimensional main body part and the three-dimensional connection model which have been integrated by the integration section as a three-dimensionalized pipe member. The three-dimensional connection model is preliminarily prepared for each shape of connection parts.SELECTED DRAWING: Figure 1

The application discloses a layout design method and device, electronic equipment and readable storage medium, and relates to the technical field of chips. The layout design method comprises the following steps: obtaining a quantum device construction list and a quantum device connection list; instantiating each type of quantum device model based on the quantum device construction list; constructing each quantum device corresponding to the quantum device construction list based on the instantiated quantum device model; determining the start anchor point coordinates and the end anchor point coordinates corresponding to each connection relationship in the quantum device connection list based on the quantum device connection list, the quantum device construction list, a connection model and a device anchor point rule; the device anchor point rule comprises a device static anchor point rule and a dynamic anchor point calculation script; and generating a connection path for each quantum device based on the start anchor point coordinates and the end anchor point coordinates corresponding to each connection relationship, so as to obtain a quantum chip layout of the quantum device.

The application discloses a kind of to adopt four degrees of freedom mechanism angle of attack frame connection model support structure, comprising: X mechanism;Y mechanism, it is set in the inside of X mechanism, Y mechanism and X mechanism are slidingly connected in horizontal direction;Side slip base, it is set in the inside of Y mechanism, side slip base and Y mechanism are slidingly connected in vertical direction;Angle of attack frame, slidingly set on side slip base, the upper end of angle of attack frame is equipped with vertical knife support, and the upper end of vertical knife support is equipped with model;Cable-stayed rod is connected between angle of attack frame and vertical knife support, and front pillar is connected between model and angle of attack frame;Power mechanism is arranged between X mechanism and Y mechanism, between Y mechanism and side slip base, between side slip base and angle of attack frame.The application utilizes the angle of attack frame of four degrees of freedom mechanism to connect vertical knife support, has the ability of supporting model side slip angle, Y direction and X direction three degrees of freedom, has the characteristics of strong bearing capacity, many support points, reliable connection.

The invention relates to the technical field of management systems, in particular to a bus duct multi-dimensional monitoring index driven fault recognition and diagnosis system, which comprises a model construction unit, a connection model is constructed, a box body internal space in the connection model is marked as a monitoring space, a current connection surface is marked in the monitoring space, and an opening contour line is marked in the monitoring space; the multi-dimensional monitoring unit is used for determining the position of a temperature monitoring point based on the position distribution of the current connecting surface, arranging a temperature sensor at the temperature monitoring point, arranging a humidity sensor on the inner wall, far away from the opening contour line, in the jack box, and arranging a vibration sensor on the inner wall, close to the current connecting surface, of the jack box; and the fault monitoring unit is preset with a plurality of fault feature sets, carries out comparative analysis based on the monitoring data of the temperature sensor, the humidity sensor and the vibration sensor in combination with the fault feature sets, and determines the type of the current fault.

The invention discloses a 3D printing concrete path planning method, and particularly relates to the technical field of 3D printing concrete paths, and the method comprises the following steps: 1, model preprocessing: carrying out meshing processing on an input 3D model, converting the input 3D model into a triangular mesh model with proper precision, carrying out topology analysis on the mesh model, and carrying out modeling; identifying the boundary, the internal structure and different regional geometric features of the model, and providing basic data for path planning; 2, generating an initial path, discretizing the model into a plurality of layer sheets along the height direction according to the height information of the model, determining the printing sequence of each layer sheet, and generating the initial path for each layer sheet; 3, optimizing an interlayer path, and establishing an interlayer connection model; by using an energy-optimized interlayer path optimization method, the interlayer bonding energy and the printing path smoothing energy are comprehensively considered, so that the paths of adjacent layers reach the optimal connection state, the interlayer bonding strength is enhanced, and the stress concentration is reduced.

The application provides a welding process parameter inference method and device based on a SAINT-MLP fusion model and differential evolution, and a medium, first, a BIM model of a to-be-welded piece is acquired; then, welding feature information in the BIM model is extracted; finally, the welding feature information is input into a pre-established welding parameter inference model to obtain recommended process parameters; wherein the welding parameter inference model is obtained by backstepping according to a weld appearance prediction model; and the weld appearance prediction model is a SAINT-MLP series connection model. The application connects the SAINT model and the MLP in series, simultaneously uses a differential evolution algorithm to search for parameters, thereby efficiently learning the mapping relationship between the welding parameters and the weld appearance, and realizing the backstepping of the process parameters under the condition of a given target appearance.