857 results about "Systems design" patented technology

The invention discloses an electromechanical system fault pre-diagnosis method and system based on digital twinning. The method comprises the following steps of obtaining multi-source data in an electromechanical system operation process; preprocessing the acquired multi-source data, wherein the preprocessing comprises data cleaning, normalization processing and feature extraction; and on the basis of the preprocessed multi-source data, an electromechanical system design drawing, a three-dimensional geometric model, material attributes and a kinetic equation are fused, and a digital twin model is constructed. According to the invention, through a digital twin model dynamic calibration and prediction algorithm, early abnormity of the equipment is identified in advance, the fault probability and the residual life are output, and non-planned shutdown is reduced; by constructing a cross-physical domain fault feature system and fusing model simulation and actual measurement data, the potential fault identification accuracy is improved, and the missed diagnosis rate is reduced; by calibrating parameters of the digital twin model in real time, the method adapts to nonlinear changes of equipment, ensures high-fidelity mapping of the model, and improves fault prediction precision.

The invention discloses an automatic scheduling method and system for ship unloading equipment, and relates to the technical field of port automation. According to the method, a high-precision digital twinborn model for ship unloading operation is constructed, physical equipment is abstracted into a digital intelligent agent with an autonomous decision-making capability, real-time multi-dimensional data and historical data are utilized to perform deep fusion to drive system synchronization, and a future multi-step scheduling strategy is deduced in a parallel simulation manner in a virtual space based on rolling time domain control, so that the real-time multi-dimensional data and historical data are subjected to real-time multi-dimensional data synchronization driving system synchronization is realized. Dynamic evaluation and optimization are carried out by adopting a multi-objective evolutionary algorithm combined with a cooperative game mechanism, and conflicts and cooperation among equipment are effectively coordinated by defining an individual utility function and introducing cooperative game negotiation and a meta-controller to dynamically adjust target weights, so that system-level global optimal scheduling is realized under multiple objectives of efficiency, energy consumption, safety and the like, and the scheduling efficiency is improved. The intellectualization, the self-adaptability and the comprehensive operation benefit of port ship unloading operation are comprehensively improved.

The invention relates to the technical field of injection molding process control, and discloses an injection molding parameter self-learning collaborative regulation and control system which is characterized in that multi-source parameters such as temperature and pressure are acquired in real time through a data acquisition module, and the multi-source parameters are mapped to a low-dimensional manifold space through a dynamic manifold construction module to decouple a nonlinear coupling relationship; the chaos synchronization control module suppresses external disturbance based on master-slave system design, and the distributed optimization module realizes multi-target real-time decision by adopting a split Bregman algorithm; the execution module converts the optimization instruction into a control signal and triggers closed-loop feedback; and the federated learning architecture realizes cross-device strategy migration by extracting continuous homology features of a manifold space and combining a Hausdorff distance and homeomorphic mapping, and drives a global model to update. According to the invention, the technical problems of difficult dynamic regulation and control of nonlinear parameters, insufficient real-time performance of multi-constraint optimization, low cross-scene repeated parameter adjustment efficiency and lack of self-adaptability of long-term process drift in the injection molding process are solved.

The invention provides a ground source heat pump buried pipe system design method based on building load change, comprising the following steps: S1, acquiring geological survey data, meteorological data and building load data, and presetting buried pipe heat exchange system parameters; s2, establishing a multi-physics field coupling numerical model; s3, transient simulation is carried out through a multi-physics field coupling numerical model, and system short-term thermal response characteristic data corresponding to each candidate length are acquired and stored; s4, constructing and training a long-term dynamic performance prediction model through the long and short-term memory network model; and S5, based on a multi-objective optimization algorithm, solving a multi-objective optimization problem, obtaining a group of Pareto optimal buried pipe total length solution sets, and selecting a final buried pipe optimal total length from the optimal solution sets. According to the method, the design precision of the ground source heat pump buried pipe can be remarkably improved, the long-term dynamic prediction capacity is achieved, the reliability, economical efficiency and environment friendliness of long-term operation of a ground source heat pump system can be guaranteed, and the design efficiency and reliability are improved.

The invention discloses a self-adaptive multi-sensor fusion SLAM (simultaneous localization and mapping) system implementation method and system, a hierarchical fusion asynchronous architecture with a front-end sensing layer, a middle fusion layer and a rear-end optimization layer is designed, and the front-end sensing layer comprises a feature extraction and matching and timestamp asynchronous processing mechanism. The middle fusion layer comprises sliding of a time window and alignment of data to a time axis, and the rear-end optimization layer comprises a multi-source factor graph model, state estimation, map updating and calculation optimization; a self-adaptive weight adjustment module is arranged between the front-end sensing layer and the middle fusion layer; multi-dimensional evaluation, self-adaptive adjustment and engineering practicability of SLAM spatial positioning mapping are realized; the front-end sensing layer performs data acquisition and preprocessing on each sensor for spatial positioning mapping, and then independently performs feature extraction and matching and timestamp asynchronous processing mechanism implementation. The problem of fusion time sequence synchronization is effectively solved, the environmental adaptability is improved, and the calculation complexity is reduced.

The invention belongs to the field of complex equipment system design and verification, and discloses a model-based complex equipment system design and verification integrated method, which takes four layers of'demand-behavior-structure-parameter 'as a framework, combines task scene demands, and constructs a full-process design and analysis method of a reusable space launch vehicle system. The method comprises the following steps: decomposing a complex system from demand analysis, performing parameter calibration and performance verification on a model by combining theoretical and experimental data, constructing a reusable space launch vehicle system model, and performing comprehensive analysis and verification of the system; in combination with a three-dimensional virtual environment and a configuration optimization algorithm of the model, performing rapid optimization on various configurations of the aerospace vehicle, and evaluating feasibility and performance of a design scheme; through bidirectional interaction of design and verification models and communication of system-level design and professional-level design, the problems of design and verification separation, insufficient model collaboration and the like in the prior art are solved, and the efficiency and precision of design and verification of a complex equipment system are improved.

This patent discloses a computer system for humanoid robot control system design and implementation, featuring a digital humanoid robot with dynamical models and a set of single-input-single-output (SISO) and multi-input-multi-output (MIMO) controllers. The system comprises a main software program, a generative Al humanoid robot intelligence engine, a robot motion path planner module, and a control system simulation engine. It enables efficient design, testing, validation, and implementation of robot control systems, significantly reducing time to market. The system supports seamless upgrades to accommodate new designs and components, enhancing applications in industrial automation, healthcare, public safety, and more, aligning with the goals of the 4th Industrial Revolution.

The invention discloses a wafer level chip system design space construction and rapid parameter search method. The method comprises the steps of task graph definition, prefabricated member parameter quantification, joint model construction based on task graph features and prefabricated member features, and Bayesian optimization implementation strategy. According to the technical scheme, construction and search of the design space can be guided, so that the number of times of calling a simulator is reduced, and construction of the design space of the wafer-level chip system architecture, efficient parameter search and performance evaluation are achieved. The method can be used for agile design and hardware implementation of a multi-chip integrated wafer-level chip system architecture.

The invention relates to a clean room airflow simulation modeling method and system fused with process layout optimization, belongs to the technical field of simulation modeling, and solves the problem that process layout and airflow cannot be optimized at the same time in existing simulation modeling. Comprising the steps of obtaining a process layout model, and constructing a label database according to a design general drawing, an architectural drawing and the process layout model; designing the purification air-conditioning system according to the process layout model and the label database, and determining design parameters; importing the process layout model and the design parameters into CFD pretreatment software to generate an initial model of the clean room, and arranging an air return passageway, a fan filter unit, a dry coil and a raised floor in the initial model according to the label database and the design parameters to obtain a fusion model; and grid division is performed on the fusion model to obtain a clean room airflow simulation model, then the clean room airflow simulation model is imported into CFD software for fluid simulation, and a process layout model of the clean room is optimized according to a fluid simulation result. And iterative optimization of the process and the airflow is realized.

The invention discloses an MBSE-based aircraft undercarriage system model integration method, and belongs to the technical field of system engineering. The method comprises the following steps: constructing an aircraft undercarriage system architecture, a classification mapping of simulation design information and a GOPPRR-E element model, and a meta-model library; constructing an architecture model according to a demand-function-logic-physical process, and generating a Simulink simulation model according to the architecture; a simulation model semantic mapping rule is constructed according to an OSLC specification, and design information is analyzed to establish an integrated data model; and a Simulink simulation tool integration adapter is constructed, and a tool interoperation service based on Web is provided. According to the method, a multidisciplinary model can be accurately constructed, uniform expression of architecture and simulation models and semantic consistency of heterogeneous models are realized, two-way transmission of cross-domain information and interoperation between tools are supported, the problem of interoperation between architecture modeling and simulation modeling tools in aircraft undercarriage system design is effectively solved, and the design efficiency is improved.

The present disclosure introduces an automated system designed for detecting and rectifying clashes in 3-dimensional (3D) mechanical, electrical, plumbing and fire protection (MEPF) service models. Comprising a computing device, the system receives a 3D model of a building project and various MEPF service models, including but not limited to HVAC, electrical, plumbing and fire protection services. An interconnected remote server, equipped with a non-transitory storage device, retains executable routines, a rule database with MEPF identifiers tied to specific rules and hierarchies, and a construction history database featuring 3D building templates depicting both clashed and resolved MEPF integrations. The central control unit retrieves the 3D models, constructs an AI model influenced by past construction data, and identifies clashes when overlaying the MEPF models on 3D depiction of the building. Post detection, the control unit employs AI-derived strategies to produce clash-free 3D models, which are subsequently displayed on the computing device.

An orbit insertion control method and system for a launch vehicle. For a guidance loop and an attitude loop, equivalent second-order error dynamics models are constructed, respectively; by making full use of the capability of fully characterizing the system design degree of freedom of a second-order fully actuated system theory, comprehensively considering multiple task requirements such as dynamic performance, control constraints, and interference suppression, and introducing an iteration idea into a discrete design framework, hybrid rapid optimization design of guidance loop and attitude loop control gains is achieved, effectively improving overall design efficiency, and design margins can be essentially released, improving the accuracy and performance of orbit insertion control; moreover, guidance loop feedback gain optimization design and attitude command solving are implemented, essentially improving the performance and robustness of orbit insertion control, and attitude loop control design is implemented, essentially ensuring the tracking performance, greatly reducing the conservative property of conventional separate design of dual-loop gains.

The invention provides an arc resistance characteristic-based segmented modeling method of a fuse for a direct current networking system, and relates to the technical field of common direct current bus system design, and the method comprises the steps: calculating the real-time arc resistance data of the fuse according to the continuously collected short-circuit voltage and short-circuit current at the two sides of the fuse in a short-circuit test process, and forming an arc resistance curve; intercepting an arc resistance curve from the peak moment of the short-circuit current to the slope descending moment of the arc resistance curve to obtain an arc starting stage arc resistance curve, and intercepting an arc resistance curve from the slope descending moment to the moment when the short-circuit current is zero to obtain an arc burning stage arc resistance curve; respectively carrying out data fitting according to the arc starting stage arc resistance curve and the arcing stage arc resistance curve to obtain a sectional arc resistance curve equation; and taking the arc resistance curve equation as a control signal to build and obtain a fuse simulation model based on the controlled resistor. The method has the advantages that the arc resistance curve is divided into two sections, the corresponding arc resistance curve equation is designed, the simulation precision is higher, and the method can be better suitable for different working conditions.

A self-optimizing and self-programming computing system (SOSPCS) design framework that achieves both programmability and flexibility and exploits computing heterogeneity [e.g., CPUs, GPUs, and hardware accelerators (HWAs)] is provided. First, at compile time, a task pool consisting of hybrid tasks with different processing element (PE) affinities according to target applications is formed. Tasks preferred to be executed on GPUs or accelerators are detected from target applications by neural networks. Tasks suitable to run on CPUs are formed by community detection to minimize data movement overhead. Next, a distributed reinforcement learning-based approach is used at runtime to allow agents to map the tasks onto the network-on-chip-based heterogeneous PEs by learning an optimal policy based on Q values in the environment.

The invention discloses a finger-storage-multiply-accumulate three-stacked floating-point number in-memory computing system, and belongs to the field of application-specific integrated circuit design. According to the system, a three-stack type floating-point number calculation framework is designed, a pointing shift and mantissa multiply-accumulate module is designed, and floating-point number multiply-accumulate calculation of global pointing is supported. Compared with a traditional parallel floating-point multiply-accumulate circuit, the parallel floating-point multiply-accumulate circuit has the advantages that a calculation process of global alignment shifting and mantissa multiply-accumulate in sequence and a three-stack type calculation framework are adopted, similar calculation precision is achieved with smaller hardware overhead, low hardware overhead and high calculation precision are both considered, and the comprehensive performance of the calculation framework and the circuit is improved.

The invention provides a number-theory transformation acceleration method based on sparse data features, and belongs to the field of accelerator system design in privacy calculation. According to the method, the number of times of multiply-add calculation in the butterfly network is reduced by utilizing the sparsity of input data in number theory transformation, and the whole process comprises four steps of bit inversion, pre-calculation, optimization calculation execution and subsequent butterfly network calculation execution. According to the data distribution type after bit inversion in the number-theory transformation, a corresponding optimization calculation method is designed, the preceding-stage calculation data flow of the butterfly network is optimized, multi-stage calculation is combined, unnecessary calculation is avoided, the multiplication and addition times needed in the number-theory transformation are greatly reduced, calculation delay is reduced, and the overall energy efficiency of privacy reasoning is improved; wide application prospects are realized.

The invention discloses a dynamic adhesion coefficient correction evaluation method and system based on multi-source data fusion, and belongs to the field of vehicle electronic control, and the method comprises the following steps: S1, carrying out the data collection of a multi-source sensor; s2, calculating a slip rate based on data collected by a wheel speed sensor, calculating a dynamic compensation factor based on data collected by a suspension load sensor, correcting a centroid offset error based on data collected by an inertial sensor, and triggering segmented compensation based on data collected by a brake disc temperature sensor; s3, calculating a basic adhesion coefficient based on the slip rate; s4, correcting the basic adhesion coefficient based on the dynamic compensation factor and the corrected centroid offset; and S5, the basic braking force and the basic torque distributed by the ESC system are corrected. By adopting the dynamic adhesion coefficient correction evaluation method and system based on multi-source data fusion, high-precision correction of the dynamic adhesion coefficient and intelligent adjustment of the braking force are realized through multi-source sensor data fusion and ESC system integrated design.

The invention provides a bidirectional level converter and electronic equipment, and relates to the technical field of analog integrated circuits, the bidirectional level converter comprises a first port, a second port and a conversion circuit arranged between the first port and the second port; the first port comprises a first input / output port and a first reference level port; the second port comprises a second input / output port and a second reference level port; the conversion circuit comprises a first Schmidt comparator, a clamping circuit, a pull-up module, a pull-down module and a second Schmidt compartment.The bidirectional level converter and the electronic equipment have the advantages that under the condition that an input signal is converted from a high signal to a low signal, driving of an input stage does not need extremely high driving capacity, input and output are in an isolated state, and the conversion efficiency is improved; and the load size of the output stage has no influence on the driving capability of the input stage, so that the integrity of signals can be maintained, the system design is more flexible, and meanwhile, the circuit can adapt to more application scenes.

The invention relates to the technical field of distributed computing, and discloses a distributed computing modeling system design method for high-dimensional discrete data, which comprises the following steps: acquiring a feature identifier access request in a high-dimensional discrete data stream, counting an access frequency, and marking a feature identifier of high-frequency access as a high-frequency access state; constructing a local parameter copy on a non-master node physical computing unit of the distributed cluster; routing gradient update data aiming at the feature identifier to a local parameter copy closest to the network and generating a local residual tensor; calculating the direction cosine similarity of the local residual tensor and the global gradient update vector; calculating a real-time access entropy based on the access source distribution and converting the real-time access entropy into a dynamic synchronous threshold value; according to the method, through a dynamic synchronization judgment mechanism based on semantic information gain, high-frequency but invalid redundant communication is effectively inhibited, and network congestion under long-tail distribution is reduced.

The invention provides a ship management system design assisting method based on a knowledge graph, which comprises the following steps of: processing scattered design documents and design criteria of enterprises by utilizing a natural language processing technology, extracting knowledge triple information in the design documents and design criteria, and on the basis of the constructed knowledge graph, further utilizing a retrieval enhancement generation (RAG) technology to generate a knowledge triple; according to the method, subjective query of design information of a graph database is achieved, analysis and proofreading of design information graph-text and document data corresponding to design drawings and models are achieved, and finally design requirement query and automatic check of the design drawings and models in the design process of aided designers are achieved. Integration and sharing of design knowledge are completed, and the design knowledge utilization rate is increased.

The invention discloses a construction project contract dispute judgment document classification system based on natural language processing, and relates to the crossing field of project management and natural language processing. The system comprises a document receiving module used for supporting dragging, dropping and reading of judgment documents; the text preprocessing module is used for preprocessing documents and screening phrases with dispute focus key information; the dispute type classification module is used for inputting and transmitting the text into a BERT-BiLSTM-Attention classification model to obtain the dispute type of the text; the dispute focus classification module is used for transmitting the text input into a RoBERTa-TextCNN-GLU classification model to obtain a corresponding dispute focus; and the system function module is used for displaying the text content and the classification result after inputting the judgment document to obtain a dispute type and a dispute focus corresponding to the document. The purpose of system design is to realize rapid information extraction of construction project contract dispute judgment documents, so that related enterprises can rapidly understand basic conditions of the judgment documents, and the enterprises can also be helped to establish a high-quality and sound project contract risk control system.

The invention provides an undercarriage system scheme design method based on heterogeneous design simulation data management, which comprises the following steps of: firstly, analyzing, abstracting and standardizing different types of heterogeneous design and simulation data in a development process of an undercarriage system, and constructing a uniform abstract data model; secondly, according to the defined semantic rules, an undercarriage semantic ontology model is constructed, then the semantic rules are loaded through a semantic reasoning engine, and processed data are associated; according to the research and development process of the undercarriage system and the semantic association relationship between the data, data storage and display are realized; after data abstract analysis, semantic association and unified storage are completed, functional information, design information and simulation information are further derived based on an undercarriage semantic ontology and a reasoning result, so that an undercarriage system development scheme driven by requirements is constructed. According to the method, multi-source heterogeneous design and simulation data generated in the research and development process of the undercarriage system can be effectively managed, and a design scheme of the undercarriage system is constructed on the basis of the multi-source heterogeneous design and simulation data.

The invention provides a distributed data storage and access software development method based on cloud computing, and aims to construct an efficient, safe and extensible data storage system. The method comprises seven key steps of demand analysis and system design, cloud resource configuration and initialization, distributed data storage algorithm development, data processing layer construction, access control layer development, user interface and interaction design and system test and optimization. By accurately calculating storage resource requirements, optimizing cloud resource configuration and designing a consistent Hash data fragmentation algorithm and a data redundancy strategy, high availability and fault tolerance of data are ensured. Meanwhile, the AES-256 encryption technology and the LZ4 compression technology are adopted to guarantee the data security and the transmission efficiency. According to the method disclosed by the invention, a high-performance, extensible, safe and reliable distributed data storage and access system can be constructed, so that the increasing data storage and access requirements are met, and the user experience is improved.

The invention discloses an intelligent troubleshooting method, device and equipment for vehicle function faults and a storage medium, and relates to the cross technical field of natural language processing and vehicle fault troubleshooting, and the method comprises the following steps: retrieving a knowledge base according to fault description to obtain technical data associated with the fault description, the knowledge base is constructed based on a vehicle function system design document; based on the technical data and in combination with a big language model, generating a fault reason and a fault checking strategy which corresponds to the fault reason and is used for indicating a signal needing to be detected and detection logic; and analyzing the vehicle-mounted protocol and the vehicle-mounted data to obtain a signal of a corresponding fault moment, sequentially detecting related signals according to the troubleshooting strategy, determining a fault signal, and realizing vehicle function troubleshooting. According to the invention, the efficiency and the accuracy of vehicle function troubleshooting can be effectively improved.

The invention provides a machine learning-based pressure-regulating precision casting gating system design method, which comprises the following steps of: collecting pressure-regulating precision casting data to form a database; screening the parameters in the database to obtain a principal component influence factor; pouring process independent variables are input, and a pouring system model is output based on the principal component influence factors and the pressure maintaining condition in the solidification process; based on the gating system model, anti-gravity pressure regulating casting mold filling simulation is conducted through analogue simulation software, and the porosity is counted according to the simulation result; and comparing the gating system model with a gating system in a database, if the porosity is the minimum value, determining that the gating system model is a target gating system, and exiting the whole process, otherwise, re-optimizing the gating system model. For complex parts in different shapes, an optimal pouring system can be provided, the mold filling capacity in the pouring process is improved, and the forming quality and the casting yield of castings are improved.

The invention discloses an intelligent tea withering control system based on multi-modal feature fusion and time sequence prediction. The system is composed of a multi-modal feature extraction module, a time sequence modeling module, a transfer learning module and an intelligent decision control module, a Transform attention mechanism is adopted to construct a cross-modal fusion framework, RGB images, hyperspectrum and time sequence information are fused, and accurate recognition and trend prediction of the withering state are achieved. According to the system, an adaptive attention fusion network is designed, optimal fusion of images, spectrums and grade information is realized through dynamic distribution of modal weights, and the recognition accuracy and stability are remarkably improved. The classification accuracy of 180 verification samples reaches 93.33%, and is improved by 15.93%-34.83% compared with that of a single-mode method. And cross-environment self-adaption is realized through fusion transfer learning, and the performance is improved by 6.7%-14.3%. The intelligent decision engine optimizes temperature and humidity parameters based on a multivariable coupling control theory, the control precision reaches + / -0.5 DEG C and + / -2.0%, and the response time is 2.5 seconds.

The invention provides an automatic construction method and equipment for a building electromechanical system circuit, and the method achieves the quick construction of a building electromechanical system and the efficient retrieval of key paths of equipment through abstracting the equipment attributes and the connection relation into a directed graph and automatically generating the connection relation between the equipment through a link prediction graph neural network model. The method can be used for automatically generating the mutual connection relation between the devices according to given device attributes, so that rapid construction of a building electromechanical system and efficient retrieval of key paths of the devices are achieved, and basic data are provided for the functions of device fault positioning, abnormal energy consumption analysis and the like in the building operation and maintenance stage. According to the method, the efficiency and accuracy of electromechanical system design are improved, reliable basic data support is provided for the functions of equipment fault positioning, abnormal energy consumption analysis and the like in the building operation and maintenance stage, meanwhile, a data link of electromechanical system design, construction and operation and maintenance is broken through, and technical support is provided for digital and intelligent transformation of the building industry.

The invention discloses an assembly process knowledge graph construction and updating method based on graph attention network mapping, and the method mainly comprises the following steps: standardization system design construction, data collection, data classification, multi-modal data preprocessing, multi-source information extraction and graph node feature initialization. Semantic modeling and vector space mapping driven by a graph attention network, knowledge storage, construction of an assembly process knowledge graph by using stored knowledge data, and semantic complementation and dynamic updating of a process information model. Through the unique self-attention mechanism of the GAT, the weight can be dynamically distributed for the relationship among different information nodes, so that knowledge reasoning and expression are more accurately carried out, and the problems of knowledge fragmentation, management rigidity, semantic understanding deficiency, low knowledge utilization efficiency and the like in the prior art are systematically solved.

The invention discloses a protocol conversion method and device, a medium and a server system, and relates to the technical field of servers. Once an original protocol type is determined, a dynamic interface routing controller calls a corresponding conversion program stored in a mapping table; and converting the detected heterogeneous bus protocol command into a unified single-line serial bus protocol operation code. As the conversion program and the protocol characteristics are stored in the mapping table, the method has infinite protocol expansion capability, a new protocol can be supported by updating the mapping table and a detection engine without redesigning hardware or modifying codes of an editable logic device, the system design is greatly simplified, and the development cost is reduced. Therefore, the problem that the current programmable logic device can only realize single interface protocol conversion is solved.

The invention discloses a CAD application system design scheme data management method and system, and relates to the computer cartographic technology, and the method comprises the steps: in a target design scheme creation stage, separately creating design model data and design view data of a target design scheme, and copying to obtain intermediate design model data and intermediate design view data; a design scheme data editing stage: loading part of design model data associated with editing data, executing editing, and storing edited update data to the intermediate design model data and the intermediate design view data after editing; and synchronizing the intermediate design model data and the intermediate design view data to the design model data and the design view data of the target design scheme in a design data storage and submission stage. According to the method, through the data middle layer, high consistency and integrity of design scheme data can be well guaranteed through two-stage submission.