74 results about "Systems design" patented technology

The application discloses a kind of multi-modal flexible sensor adaptive signal conditioning system design method, belong to flexible sensor signal conditioning technical field.The present application overcomes the defects of poor universality, performance compromise, high cost of mass production of existing conditioning circuit, adopts layered decoupling and dynamic reconstruction system-level architecture: through multi-modal feature analysis and demand mapping modeling, the feature vector composition of scene recognition is determined;Design configurable analog front end, integrate instrument amplifier, transimpedance amplifier, charge amplifier, bridge amplifier four parallel processing sub-modules, wherein charge and bridge amplifier adopt self-designed architecture with dynamic adaptive gain adjustment capability;Build heterogeneous digital processing platform with NPU, CPU, DSP as core, through cross-modal data fusion, scene recognition engine, dynamic hardware configuration combined with feedforward and feedback, loadable algorithm library and closed-loop optimization control law, realize the real-time scene reconstruction of hardware parameters and digital algorithm;Combined with domestic single-chip selection, rigid-flex PCB and automatic calibration, meet the demand of low-cost mass production.The present application realizes the native adaptation and performance optimization of single hardware platform to voltage, current, charge, impedance and other types of sensor signals, and can be widely applied in robot dexterous hand, medical monitoring, intelligent bandage, consumer motion monitoring and industrial monitoring fields.

Automated circuit design is provided. The method comprises mapping a number of inputs to a number of desired outputs and receiving a number of specified constraints. A number of component specifications are determined for circuit components necessary to achieve the desired outputs from the inputs within the specified constraints. A number of circuit components are chosen based on the component specifications to optimize achievement of the desired outputs from the inputs within the specified constraints, the chosen circuit components are arranged in a number of circuits based the component specifications to optimize achievement of the desired outputs.

The method comprises the following steps: constructing a plurality of radio frequency system component simulation models in a simulation space; performing first simulation tests on each antenna component simulation model and each radio frequency front-end component simulation model, and obtaining corresponding performance parameters to construct a simulation model library; selecting radio frequency system component simulation models from the simulation model library according to a target performance of the radio frequency system, combining the radio frequency system component simulation models in the simulation space through a system tool structure model, and performing signal transmission through an interconnection structure component simulation model to obtain a radio frequency system simulation model; performing a second simulation test on the radio frequency system simulation model, and adjusting the radio frequency system simulation model according to a simulation result to obtain a design scheme of the radio frequency system. The radio frequency system design method provided by the present disclosure can be used for collaborative analysis of system comprehensive performance, can shorten a design cycle by using a simulation analysis method, can establish a simulation model library, and can simplify a subsequent design process.

The application provides a negative virtualization method for a high resonance mode flexible system, first, a flexible system model is established, a dynamic feedforward compensator is introduced, and a system state space equation after feedforward compensation is given; second, a set of positive definite matrices is selected for the compensated system, and a set of matrix inequality conditions are derived, so that the compensated system has a negative virtual property, and further solving the matrix inequality conditions can obtain the parameters of the feedforward compensator; finally, an improved negative virtual controller is designed for the system after negative virtualization to ensure the stability of the closed-loop system. The method of the application ensures that the high resonance mode flexible system with non-negative virtual property can use the negative virtual theory to design the controller, and expands the application range of the negative virtual theory in the flexible system. Through the satellite model simulation experiment, it is shown that under the condition of parameter perturbation or unmodeled dynamics, the designed system can simultaneously consider the response characteristics and robustness.

This invention relates to a lightweight model design method and system for real-time personalized AI teaching. The method involves designing a lightweight large language model as the teacher model, training the teacher model using a training set, and employing structured pruning techniques to remove redundant attention heads and feedforward network layers from the teacher model, generating a streamlined student model. Knowledge distillation is used to transfer the attention patterns and hidden layer representations of the teacher model to the student model. Finally, a mixed-precision quantization method is used to compress and optimize the student model to obtain a lightweight teaching model. This reduces the magnitude of model parameters and computational complexity, making it easy to deploy and run, suitable for resource-constrained environments, and simultaneously providing efficient knowledge transfer and personalized tutoring, thereby improving teaching quality and learning efficiency.

The present application relates to the technical field of electrical system design, and particularly relates to a spacecraft electrical system interconnection component path planning optimization method and system. The method comprises the following steps: obtaining interconnection component data; constructing adjacency relationship according to the interconnection component data to obtain component adjacency data; selecting a beam splitting point according to the component adjacency data to obtain beam splitting point data; estimating point port cost of the beam splitting point data to obtain point port cost data; generating a control linkage graph according to the component adjacency data to obtain control linkage graph data; generating an interpretation field according to the control linkage graph data to obtain interpretation field data; determining the splitting benefit of the point port cost data and the interpretation field data to obtain splitting benefit data; and evaluating the hard constraint of the splitting benefit data to obtain beam splitting point feasibility evaluation data. The present application realizes the constraint of the beam splitting point position and the control semantics, effectively avoids the cross-stage control reversal and redundancy failure problems.

The application discloses a control system design method for space gravitational wave detection. The method first performs modeling on a problem domain of the control system, constructs a first mapping matrix from a functional requirement to a behavior element, performs decoupling verification on the first mapping matrix until the first mapping matrix is in a lower triangular structure. Then, modeling is performed on a solution domain of the control system, a second mapping matrix from the behavior element to a design parameter is constructed, and independence verification is performed on the second mapping matrix until the second mapping matrix is in a lower triangular structure. Finally, a composite equivalent mapping matrix of the two-level matrix is calculated, and is used for change management of the control system. The application can realize formalized design and quantitative evaluation of a strong coupling control system architecture, identify coupling problems in an early design stage, improve design iteration efficiency and change management accuracy, and is mainly applied to control system design for space gravitational wave detection, and can also be applied to design scenes of various high-coupling high-precision space control systems.

The application discloses a kind of based on MBSE joint simulation technology's cabin ventilation system design method, first obtain the heat and air consumption parameter of ship cabin equipment, synchronization to the SysML system model based on MBSE construction;System function and performance requirement are analyzed by requirement modeling, and parameter modeling obtains the ventilation and cabin target environment parameter requirement;Design system physical architecture, complete function decomposition and sub-equipment distribution, and the architecture feasibility is verified by function simulation;Performance simulation model is constructed, and the optimal scheme is selected by simulating actual working condition, and the performance feasibility is verified by long-time simulation;Finally complete system three-dimensional digital design and space arrangement, and complete design after verifying space feasibility.The application realizes cabin ventilation system whole-process model-driven design, significantly improves design efficiency and reliability, reduces design rework risk.

The present invention relates to a method for controlling a heating and / or cooling system (1) for a building, comprising a temperature control element (10) that heats or cools a temperature control medium, optionally a circulation pump (16), several heat exchangers (5, 5', 5'', 5'') connected to the temperature control element (10) and optionally to the circulation pump (16), wherein each heat exchanger (5, 5', 5'', 5'') is assigned to a room of the building and each heat exchanger (5, 5', 5'', 5'') has a valve (6, 6', 6'', 6'') that regulates the flow of the temperature control medium through the heat exchanger (5, 5', 5'', 5'') with a valve (6, 6', 6'', 6'''') associated actuator for varying the opening degree of the corresponding valve (6, 6', 6'', 6''''), a flow pipe, a flow temperature sensor (3) arranged in the flow pipe, a consumer, a return pipe and a heating circuit temperature sensor (7, 7', 7'', 7'''') arranged in the return pipe, and at least one control unit (11),the power supply of the actuators of the valves (6, 6', 6'', 6'') is controlled, wherein in the heating and / or cooling system (1) the temperature control medium is heated or cooled in the temperature control element (10), is led via a supply line (2) to a supply heating circuit distributor (4), is distributed by the supply heating circuit distributor (4) to the heat exchangers (5, 5', 5'', 5''), flows through the heating circuits (5, 5', 5'', 5'') and is led via a return heating circuit distributor (8) into a return line (9) and via the return line (9) to the temperature control element (10), wherein several setpoint values ​​for the temperature difference of the temperature control medium in the supply and in the return are set in the respective actuator Return flow of the respective heat exchanger (5, 5', 5'', 5'') are stored,wherein a change in the setpoint for the respective actuator is effected by a clocked sequence of switching the power supply to the corresponding actuator on and off by the control unit (11). Furthermore, the present invention relates to a heating system (1) for a building, the control unit (11) of which is configured to provide the operations for carrying out a method according to the invention, and to a computer program product, the execution of which in the control unit (11) is configured to provide the operations for carrying out a method according to the invention.

This invention proposes a distributed assembly line workshop scheduling optimization system. A distributed estimation algorithm driven by Kalman filtering and a history learning mechanism is designed to optimize the system. Prediction, observation, first repair, and second repair are applied to the workpiece processing stage. Furthermore, enhanced repair information is fed back to the probabilistic model through the history learning mechanism to improve model accuracy. Additionally, an adaptive adjustment strategy is employed to balance the exploration and development capabilities of the optimization system. Experiments comparing the system with several classic optimization systems on a test set demonstrate the competitiveness of the proposed system. Tests on instances with varying numbers of workpieces, machines, factories, and products show that the proposed system can minimize the assembly completion time in the distributed assembly line workshop, thereby improving production efficiency.

The application discloses a kind of construction methods of system-level electromagnetic compatibility data assets, belong to EMC design and test technical field.The method will system EMC feature be decomposed into multivariate function with IC measure, interconnection structure as independent variable, obtain intrinsic data by small system test, and the synergistic, offset and superposition effect between variables are quantified by combination expansion test;Firstly, the system-level EMC data assets including coupling coefficient, combination effect coefficient, compromise coefficient, contribution coefficient and combination effect label are constructed, the electromagnetic characteristics of multi-IC system are quantitatively analyzed, the contribution is traced and the interpretability is analyzed.The application solves the difficulty that system EMC feature cannot be decomposed and multi-factor coupling cannot be quantified in traditional method, and provides complete data support and theoretical basis for complex system design, multi-objective compromise optimization, credible building block simulation and domestic substitution.

The application is suitable for the technical application field of switching power supply, and provides a control system and method based on a multi-power module charger, which comprises a plurality of parallel power modules and a touch LCD screen, and each power module is internally provided with a DSP master control chip. Through system design, one of the power modules is dynamically determined as a host, and the rest are slaves. The host directly communicates with a battery management system (BMS) and the touch LCD screen, and supplies power for the touch LCD screen, and simultaneously exchanges data with the slaves through an internal CAN bus, and integrates and replaces all functions of a traditional independent monitoring unit. The method combines centralized decision-making of the host with distributed current-sharing control, and realizes coordinated work of the modules. The application eliminates a special monitoring unit and a matching power supply, significantly reduces cost, simplifies system structure, and greatly improves reliability and maintainability of the system due to replaceability of the host.

The present application relates to the multi-machine hanging system cooperative control technology, for putting forward a kind of multi-machine hanging system cooperative control method with anti-interference and formation transformation capability, realize the anti-interference cooperative control and formation transformation problem of multi-machine hanging system under complex environment.The method makes the multi-machine hanging system consider the unknown disturbance and model uncertainty of outside under the condition of keeping high-precision tracking to the expected trajectory, while maintaining good stability and coordination performance in the process of formation transformation.Therefore, the present application, the multi-machine hanging system cooperative control method with anti-interference and formation transformation capability, includes the following steps: determining the dynamics model of multi-machine hanging system, according to the control target design integrated position cooperative controller and tension redundant degree of freedom distribution algorithm robust control law, and then realize the cooperative control and formation transformation of multi-machine hanging system unmanned aerial vehicle pose and load position.The present application is mainly applied to the multi-machine hanging system design occasion.

This invention belongs to the field of reactor control room system design technology, specifically relating to an artificial intelligence-based method for assessing the accessibility of reactor control room panels. The invention includes the following steps: obtaining control room panel design information; establishing a digital model of the control room; collecting accessibility rules and quantifiable indicators for the control room panel; constructing a quantitative assessment calculation method for accessibility, and performing multi-dimensional evaluation of the control room panel accessibility design results; developing an accessibility assessment program based on the quantitative assessment calculation method, inputting the 3D modeling results of the control room digital model and operator human body model into the program to assess the accessibility of the control room panel; and determining the accessibility assessment results. This invention utilizes virtual reality technology to complete the 3D digital modeling of the control room panel and automatically completes the accessibility assessment of the control room panel design results using an independently developed program, greatly improving design efficiency and saving economic costs.

The application discloses a deep space exploration constellation system integrated simulation verification method and belongs to the technical field of spaceflight digitized simulation verification. The method comprises the following steps: acquiring a constellation system digitized design model; constructing a standardized message bus taking a CSV file as a carrier, and bidirectionally connecting the digitized design model with a plurality of external professional simulation tools; extracting design parameters from the digitized design model and packaging the design parameters into a first CSV file, and transmitting the first CSV file to the external simulation tools; listening to the message bus to acquire a second CSV file output by the external simulation tools, and analyzing simulation result data; automatically writing the simulation result data back to the digitized design model, and triggering automatic updating of corresponding design parameters; repeating the above steps until the simulation result data meets preset verification conditions or optimization targets, and generating a simulation verification report. The application realizes bidirectional closed-loop iteration between a design model and a simulation model, and improves the automation level of constellation system design verification.

The application relates to the technical field of hydrogen production by water electrolysis, and particularly provides a method and system for establishing a simulation model of an alkaline water electrolysis hydrogen production system, which comprises the following steps: establishing dynamic mathematical models of an electrolytic tank subsystem and an auxiliary subsystem of the alkaline water electrolysis hydrogen production system; connecting the models of the electrolytic tank subsystem and the auxiliary subsystem according to the input-output relationship of the system, taking the gas-liquid two-phase flow work medium flow as the input, taking the temperature and pressure of the work medium at the outlets of the subsystems as the output, performing simultaneous solution, and obtaining the model of the alkaline water electrolysis hydrogen production system; performing steady-state simulation by using system design parameters, and in the case of passing the consistency verification, building a PID control module, and determining the control strategy of the simulation model of the alkaline water electrolysis hydrogen production system. The application realizes the dynamic simulation of the changes of internal physical parameters and external performance of the electrolytic tank under various working conditions by analyzing the component models of the alkaline water electrolysis hydrogen production system and establishing the dynamic mathematical models of the components.

The application discloses a preset performance synchronization control method of a nonlinear networked time-delay system based on state translation transformation, which transforms communication time delay of the system by using state translation transformation technology, designs a preset time synchronization control scheme through the system after translation transformation, analyzes the synchronization of the transformed system, indirectly obtains effectiveness of the original system under the preset time controller, and finally realizes preset time synchronization control of the nonlinear networked time-delay system. Based on the constructed Lyapunov function, sufficient conditions of preset time synchronization are obtained, under the conditions, even if the system is affected by communication time delay or preset performance index changes, the synchronization control of the nonlinear networked time-delay system can still be realized under the preset time requirement. Finally, the effectiveness of the synchronization control scheme is verified through numerical simulation.

This invention pertains to the overall design of aircraft equipment systems, specifically a method for rapidly generating functional logic models of aircraft-based equipment systems. By analyzing target scenarios, it defines structured natural language text syntax rules for interconnected logical elements and behavioral rule atomic elements, such as the hierarchical composition of the equipment system, interaction ports, key attributes, and mode transformations. This supports the standardized structured natural language text expression of the system's functional architecture model. Combining the characteristics of aircraft design, it constructs a combined mapping relationship between natural language text descriptions and system architecture models, enabling the direct and rapid conversion of functional logic design elements and models of aircraft equipment systems for target scenarios. This supports model-based optimization of functional logic architecture design. This invention utilizes structured natural language text syntax, a hallmark of the aircraft field, to closely integrate functional logic architecture modeling with classic equipment system design conventions. It is intuitive, concise, and consistent with the characteristics and design process thinking of equipment system design.

The present application relates to a kind of satellite DAG task unloading decision method and system based on graph neural network, belong to on-board computing unloading technical field.The method includes problem modeling and optimization target definition, task dependence and satellite topological graph modeling, graph neural feature extraction, access satellite centralized decision mechanism is constructed, satellite-ground collaborative evolution and closed loop update etc.Process, DAG task dependence is coupled with satellite topological characteristics by graph structure modeling, relevant information is extracted by means of graph neural, adapt to on-board resource constraint and dynamic topological environment.The system designs task input and modeling layer, satellite network modeling and environment layer, core processing and decision layer and satellite-ground collaborative and update layer to execute above-mentioned method, in the rigid constraint of on-board computing power, energy, bandwidth and LEO satellite dynamic topological environment, the low delay, conflict-free, high reliable unloading of DAG task containing dependence relationship is realized, and provides core algorithm support for the adaptive optimization of complex task satellite edge computing.

This application relates to a method, electronic device, and storage medium for locating errors in a logic system design. The method includes: testing the logic system design using multiple test cases; dividing the multiple test cases into a pass case group and a fail case group based on the test results, the test results including coverage data of the multiple test cases; determining multiple key features based at least on the coverage data of the test cases in the fail case group; and locating the error in the logic system design based on the multiple key features. This method can reduce error location time and accurately pinpoint the source of errors in the logic system design.

Predicting the feasible region of the design space for a physical system involves determining a set of design points for one or more iterations. This determination involves sampling each function for the output of the physical system, each function predicting the output value at the design point, and selecting design points based on an objective function that penalizes the distance from the boundary of the feasible region predicted by the value of each function. The selection of several design points is performed in parallel. In each iteration, data is obtained, including empirical values ​​of the output at the determined design points, and updated values ​​of the trainable parameters of the model are determined using the obtained data. After one or more iterations, the method includes predicting the feasible region of the design space using the data obtained during one or more iterations.

This invention discloses a multi-agent cooperative control method for cross-domain unmanned swarms across land, sea, air, and space, comprising the following steps: S1: Constructing a decoupling model to separate the complexity of cooperative control along three dimensions: hierarchical, frequency-based, and domain-based; S2: Based on the decoupling model, designing a unified cooperative strategy, which generates personalized control objectives adapted to the dynamics and roles of agents in different dimensions according to a dynamically updated cross-domain cooperative situation map; S3: Introducing an event-triggered distributed reinforcement learning mechanism for each agent, ensuring that the agent triggers only when preset triggering conditions are met. This invention, through a hierarchical-frequency-domain triple decoupling model, separates the extreme complexity of cross-domain cooperation along three orthogonal dimensions: task level, control frequency, and physical space, and defines a standard interface to encapsulate the dynamics of heterogeneous platforms, reducing the complexity of system design and analysis.

The application discloses a model-based deep space exploration communication constellation system design method, and belongs to the field of spacecraft digitization technology.The method comprises the following steps: constructing a unified digital model as a single data source throughout the whole life cycle; capturing stakeholders and their interaction interfaces through business scenario analysis, and obtaining top-level service indicators by decomposition to construct a problem domain model; taking the problem domain model as input driving, performing white-box analysis on system capability and architecture, generating a preliminary design scheme containing key parameters, and associating the key parameters to the top-level service indicators; taking the preliminary design scheme as input, performing refined design on system behavior and physical architecture; integrating professional simulation tools to perform computable verification on the key parameters, and automatically updating the corresponding parameters in the preliminary design scheme; and automatically generating a satellite development task book based on the iteratively converged design scheme.The application realizes full-chain digital forward design of a deep space exploration constellation system from demand to satellite.

This invention discloses a robust resource allocation method, system, terminal, and storage medium based on a sensor-integrated design. The method includes: acquiring a sensing echo signal and a communication signal, and generating a first time slot signal based on the sensing echo signal and the communication signal; amplifying the first time slot signal to obtain a second time slot signal; determining initial variables based on the second time slot signal, and performing alternating optimization processing on the initial variables to obtain a nominal optimal solution; calculating an uncertainty vector based on the nominal optimal solution to obtain a channel uncertainty vector, and determining a preset robustness constraint; if the channel uncertainty vector satisfies the preset robustness constraint, then generating a communication resource allocation result. This invention, by employing a sensor-integrated system design scheme combining robust optimization technology, can ensure the reliability and performance of the communication system under environments with incomplete or inaccurate channel information.

This invention discloses a distributed message processing system based on dynamic sliding windows and intelligent scheduling, aiming to solve the problems of processing latency, resource waste, and insufficient scalability caused by fixed grouping and polling strategies in traditional message processing technologies. It is suitable for dynamic message scheduling and load balancing in high-concurrency, high-throughput scenarios. A four-layer collaborative architecture is adopted, with a distributed message queue layer, a sliding grouping module, an intelligent scheduling module, and a cluster of processing units working together to form a closed-loop control through a state feedback mechanism. The system designs a hybrid sliding window and dynamic triggering grouping mechanism, a two-way feedback intelligent scheduling system, and a multi-dimensional elastic control strategy, which can dynamically optimize resource allocation based on message traffic fluctuations and processing unit load status, balancing processing timeliness and transaction consistency. It can be widely applied to scenarios such as financial transaction clearing, e-commerce flash sale traffic smoothing, and IoT data processing, achieving adaptive throughput improvement and efficient resource utilization, and possesses strong practicality and promotional value.

A method and system for forecasting and optimizing the performance of earth tube air exchange systems using machine learning algorithms. The invention receives measured exit air temperature data across various annual periods and outdoor temperature ranges, determines predicted temperature differences across the earth tube, and provides these predictions to HVAC design or operation modules. The system refines its forecasts over time based on actual outcomes, generates alerts or recommendations when performance deviates from thresholds, and stores both forecasted and actual data for long-term analysis and optimization. This approach enables improved accuracy in system design, operation, and maintenance, resulting in enhanced energy efficiency and reliability.

The application relates to a heat dissipation optimization method of an ultraviolet light-emitting diode module in the field of information technology, and the method comprises the following steps: acquiring heat distribution data of the ultraviolet light-emitting diode module and determining a quantitative index of uneven temperature distribution; according to the quantitative index, a target area of heat path optimization is determined, and a heat resistance reduction scheme is obtained; through the heat resistance reduction scheme, the substrate structure design is adjusted, and the heat conduction capacity is enhanced; according to the uniform heat dissipation distribution model, the heat path parameters are optimized, and a final heat path configuration is obtained; through the final heat path configuration, the heat resistance value in the working state is simulated, and a feasibility evaluation result of power improvement is determined; according to the evaluation result, a heat dissipation system architecture is integrated, and a complete module heat dissipation system design is obtained; for the heat dissipation system design, reliability test simulation is carried out, and long-term performance prediction is determined; through the long-term performance prediction, the heat path optimization effect is verified, and the solution degree of the heat dissipation bottleneck is confirmed.

Aspects of the subject disclosure address the traditional trade-off between performance and area, in relation to circuit and system design, together with power as an additional factor of consideration. Circuits and systems of this disclosure may realize a datapath of data in respect of memory state elements (e.g., registers, flops, etc.) that is dependent on multiple qualifiers. Aspects of this disclosure enhance (e.g., optimize) area and reduce leakage power associated with circuits and systems. Furthermore, aspects of this disclosure enable and enhance an insertion of clock-gating circuits or mechanisms to reduce dynamic-power consumption depending on states of the qualifiers.

This invention discloses an adaptive gradient four-phase separation system and method based on multi-field synergy. The system includes a feed pre-regulation unit, a gradient separation main unit, an intelligent adaptive control unit, and a self-cleaning anti-clogging execution unit. The system employs a three-layer architecture of "separation-regulation-anti-clogging." The gradient separation main unit utilizes a spiral channel and variable cross-section design to create a flow velocity gradient field of 3-5 times, synergistically utilizing centrifugal force and gravity to significantly improve separation efficiency. The intelligent adaptive control unit monitors the operating conditions in real time through a multi-parameter sensor array and dynamically and adaptively adjusts the inlet flow velocity, internal pressure, and outlet opening of each phase of the gradient separation main unit to maintain an optimal stable swirling field, ensuring stable operation and efficient separation under varying feed conditions. The self-cleaning anti-clogging execution unit effectively breaks up and washes away deposited sand particles, significantly extending the continuous operation cycle and service life of the equipment and reducing maintenance requirements.