18results about How to "Good practical engineering application value" patented technology

This invention discloses a multi-frequency, multi-target range-velocity deambiguation method and system based on phased array fire control radar, mainly addressing the low accuracy of existing methods in handling multi-target ambiguity. The implementation scheme is as follows: acquiring measurement points from the phased array fire control radar and generating a full-space candidate point set; discretizing the range-velocity plane into a grid, counting the number of candidate points and non-repeating frequency groups within each grid block; dividing the grid into blocks based on block-level neighborhood statistics to generate the candidate point set; calculating the unique frequency support number of the candidate point set and performing clustering to obtain candidate point clusters; statistically estimating the candidate point clusters, outputting target range and velocity estimates, forming the deambigued target set for the current frame. This invention can reduce the probability of false clustering structures formed by erroneous unfolding points, clutter points, and false alarm points, improving the accuracy and real-time processing efficiency of multi-target range-velocity joint deambiguation in complex scenarios, and can be used for multi-target signal processing and target tracking in phased array fire control radar.

The application provides a variable driving parameter silicon carbide MOSFET active driving method, circuit and device. The active driving method comprises: in the on process, a power supply is controlled to apply a first weak driving level in a first time period and a first strong driving level in other time periods, the starting time of the first time period is the time when the silicon carbide MOSFET enters the Miller platform, and the ending time is the time when the drain current reaches the current overshoot peak value; in the judgment process, the power supply is controlled to apply a second weak driving level in a third time period and a second strong driving level in other time periods, the starting time of the third time period is the time when the drain-source voltage is equal to the DC bus voltage, and the ending time is the time when the drain-source voltage reaches the voltage overshoot peak value. The method has good versatility and high engineering application value, reduces the additional switching loss caused by weak driving, maintains high switching speed while ensuring the overshoot suppression effect, and thus realizes a better compromise between overshoot, loss and switching time.

The application discloses a construction method of a drag-reducing isolation structure applied to a precast pile, and belongs to the technical field of pile foundation construction, which comprises a precast pile, a drag-reducing isolation material, an isolation protective layer, a cement-soil pile, an energy circulation channel and an energy medium pump; the drag-reducing isolation material is uniformly distributed on the surface of the precast pile, the isolation protective layer is wrapped outside the precast pile and the drag-reducing isolation material, the cement-soil pile is outside the isolation protective layer and is bonded between the isolation protective layer; the energy circulation channel is arranged inside the precast pile, and the energy circulation channel and the energy medium pump are connected through a pipeline. The construction steps are as follows: precast pile manufacturing; drag-reducing isolation material manufacturing; isolation protective layer manufacturing; drag-reducing isolation material smearing; isolation protective layer wrapping; cement-soil pile construction; implanted precast pile processing; energy circulation reduces and eliminates negative friction drag; and continuous maintenance. The application can reduce the influence of negative friction drag on the precast pile through multiple active drag reduction, and has good engineering application value and popularization value.

This invention provides a method for recognizing the operating status of solar thermal collectors based on a structure-aware segmentation network, belonging to the field of solar thermal equipment detection technology based on computer vision. First, it acquires equipment images and video data under different operating conditions through multi-source visual acquisition methods, and constructs a multidimensional dataset containing structural semantic labels, status labels, and temporal labels. Then, it builds a structure-aware semantic segmentation model based on an improved DeepLab network, and achieves high-precision segmentation of key structural regions of the thermal collector by introducing structural prior coding and structural constraint attention mechanisms. On this basis, it combines a temporal consistency discrimination module to model structural changes in continuous video frames, achieving dynamic recognition of states such as occlusion, offset, damage, and abnormal installation angles. Finally, it fuses the segmentation results and status discrimination results to output the equipment operating status and anomaly type, realizing automated detection and analysis.

A kind of urban rainwater pipe network and river network hydrodynamic accelerated calculation method based on data-driven surrogate model, comprising: based on bidirectional long short-term memory (BiLSTM), graph attention network (GAT) and residual connection, data-driven surrogate model Deep-Drain is constructed, for simulating the simplified process of urban rainwater pipe network and river network water flow;Mechanism model is constructed to simulate one-dimensional hydrodynamic process under measured rainfall and different return period design rainfall, and process data set of rainwater pipe network and river network flow process is constructed, while training set, validation set and test set are divided;Optimal hyperparameter combination of Deep-Drain is found by using Bayesian optimization;The efficiency improvement effect of Deep-Drain is quantitatively analyzed by typhoon storm event;The present application realizes the effective improvement of the calculation efficiency of urban rainwater pipe network and river network flow simulation process.

This invention relates to the field of hot extrusion manufacturing technology, specifically to a high-strength weldable 6xxx series aluminum alloy profile, its manufacturing method, and its application. The aluminum alloy profile is composed of the following weight percentages: Si: 0.80%~1.2%, Fe≤0.20%, Cu: 0.40%~0.80%, Mn: 0.30%~0.70%, Mg: 0.70%~1.1%, Cr≤0.25%, Zn≤0.10%, Ti≤0.10%, Zr: 0.05%-0.20%, Pb<0.01%, with the balance being Al and unavoidable impurities. The profile meets the following performance requirements: tensile properties, R... m ≥420MPa, R p0.2 ≥330MPa, A 50mm ≥8.0%; Fatigue performance: at r=0.1, N=1×10 7 Under the same conditions, the fatigue strength σ of the smooth sample is ≥145MPa, realizing the lightweight manufacturing of high-speed trains.

The application discloses a time-frequency cooperative power equipment anomaly detection method, relates to the power equipment detection field, and aims at the problem of lacking representation ability in the prior art. A time-frequency cooperative anomaly detection model is established by constructing a time domain local branch and a frequency domain global branch, and the time-frequency cooperative anomaly detection model is used for anomaly detection on a time sequence of power equipment, the time sequence being a sequence formed by monitoring data of the power equipment arranged in time sequence and used for representing the equipment operation state. The time domain local branch is used for extracting local fluctuation features and short-term dependence features in the time sequence. The frequency domain global branch is used for extracting periodic change features and global frequency features in the time sequence. The method has the advantages that the time domain branch and the frequency domain branch are constructed, local change information and global periodic information in the equipment operation time sequence are cooperatively modeled, the equipment operation state is more fully represented, and the accuracy and stability of anomaly detection are improved.

The application discloses a kind of unmanned aerial vehicle cluster multi-view target identification method based on adaptive segmentation inference, applied to mobile communication and artificial intelligence fusion technical field, for the computing resource limited, communication bandwidth limited and real-time requirement higher problem that unmanned aerial vehicle cluster faces when executing target identification task in complex dynamic environment, the application first constructs a kind of distributed inference system framework based on unmanned aerial vehicle cluster, including a cluster head node and multiple member nodes, uses multi-view convolutional neural network as target identification model;Then an optimization model with the minimum system inference delay as the target is constructed, the model segmentation position is determined for each member node respectively, and the application method realizes low latency, high efficiency target identification, and is suitable for emergency rescue, maritime search and rescue, battlefield reconnaissance, intelligent inspection and complex environment perception and other application scenarios.

The application discloses a kind of micro-nano robots magnetic gradient force calculation method and system under three synchronous rotating magnetic field.The method comprises the following steps: obtaining the position parameters of three synchronous rotating permanent magnets, the magnetic moment size of permanent magnet, common rotating phase, the position parameters of the space point to be calculated and the magnetic moment size of micro-nano robot;Based on magnetic dipole model, the magnetic field generated by three permanent magnets at the space point to be calculated is calculated and superimposed to obtain the total magnetic field;According to the total magnetic field, the total magnetic field direction unit vector is constructed, and the magnetic moment direction of micro-nano robot is kept consistent with the total magnetic field direction;Field matrix, magnetic gradient matrix and gradient force compact matrix are constructed, and the magnetic gradient force vector and its module length suffered by micro-nano robot at the space point to be calculated are calculated.The application can quickly complete the magnetic gradient force calculation under the action of three synchronous rotating magnetic field, and is suitable for trajectory planning, closed-loop control and safety evaluation of magnetic driving micro-nano robot.

This invention discloses a full DC aggregation system for offshore wind power with medium- and high-frequency AC transmission, relating to the field of DC power transmission technology. It includes: an offshore wind turbine module for acquiring medium-voltage DC power; a multi-port DC transformer module for converting the medium-voltage DC power into high-voltage DC power; a DC submarine cable module for aggregating the high-voltage DC power and transmitting it to an onshore converter station module; an onshore converter station module for acquiring onshore high-voltage AC power based on the aggregated offshore high-voltage DC power; and an onshore AC module for receiving the onshore high-voltage AC power, thus achieving full DC aggregation of offshore wind power. This invention, through improvements to the topology and control methods of the medium-voltage-to-high-voltage DC transformer, achieves efficient and economical power transmission, improves the economic viability and engineering application value of offshore wind power aggregation systems, and meets the market demand for affordable and low-cost power generation.

This invention discloses a multimodal fusion-based cockpit collaborative recognition and intent prediction control system and method, belonging to the field of vehicle cockpit intelligent control technology. The system includes at least two in-vehicle image acquisition devices, a millimeter-wave radar, an in-vehicle control module, a vehicle infotainment system, and a display terminal. The in-vehicle control module communicates with each device. A memory pre-stores a face template library and an account mapping table. The processor executes programs to achieve multimodal data synchronization, occupant recognition, and account binding. The method achieves occupant recognition through region division and multimodal fusion, combines cross-view and radar assistance for identity tracking, determines the control priority of shared devices based on dynamic state vectors and intent prediction models, and can reassess and smoothly switch device settings according to cockpit status. This approach improves the robustness of occupant recognition, solves the problem of device control conflicts in multi-occupant scenarios, and realizes proactive predictive intelligent cockpit control.

This invention discloses a method for identifying mutual inductance and mutual capacitance parameters in a hybrid-coupled wireless power transfer system, applicable to wireless power transfer systems where inductive and capacitive coupling coexist. Under the condition of a fixed system operating frequency, this method acquires time-domain signals such as primary-side voltage, primary-side current, and primary-side coil terminal voltage. A steady-state interval is selected, and the fundamental phasor is extracted using the synchronous integration method. Combined with known parameters such as compensation capacitor, coil self-inductance, and parasitic resistance of the compensation capacitor and coil, a system of complex equations including mutual inductance and mutual capacitance is established and solved to obtain the target parameters. Compared with existing methods that require changing the frequency or adding additional measurement circuits, this invention only requires a small number of voltage and current measurements to complete the identification of mutual inductance and mutual capacitance. The steps are simple, the implementation cost is low, and effective identification can still be achieved through the fundamental phasor even in the presence of inverter / rectifier nonlinear excitation.

This invention discloses an intelligent information management method and system for the entire lifecycle of oil and gas surface engineering, belonging to the field of oil and gas surface engineering technology. This invention constructs a closed-loop management framework with asset status units as the core, sequentially completing asset status unit construction, digital twin modeling and dynamic updating, intelligent decision command generation, and closed-loop feedback correction. The system includes modules for unit construction, twin modeling, intelligent decision-making, and closed-loop correction. It integrates design, construction, and operation lifecycle data through unified asset identification, utilizes digital twins to map project status in real time, and combines intelligent algorithms to conduct progress deviation, remaining service life, and spatial safety risk analysis, continuously optimizing model parameters based on feedback data. This invention solves the problems of data silos, static models, and reliance on manual decision-making in traditional oil and gas engineering management, achieving intelligent, refined, and dynamically self-optimizing full lifecycle management of oil and gas surface engineering.

This invention discloses a method and system for predicting microplastic removal rates in rainwater runoff based on a physically constrained hybrid neural network (ANN). The prediction method includes: acquiring an experimental sample set of microplastic removal by a microplastic adsorbent and preprocessing the sample set; constructing a hybrid neural network prediction model and training it using the preprocessed sample set; inputting the parameters to be predicted into the trained hybrid neural network prediction model to output the corresponding predicted microplastic removal rate, which can be used for process condition optimization and material application evaluation. This invention offers high prediction accuracy and strong generalization, accurately describing nonlinear adsorption behavior under multi-factor coupling. It is suitable for rapid prediction, parameter optimization, and engineering control of microplastic adsorption processes in complex water bodies such as rainwater runoff and surface water, and has promising application prospects.

The utility model discloses a novel spring self-resetting friction energy dissipation steel support which comprises a resetting system and a friction energy dissipation system, and the resetting system comprises an inner cylinder, an outer cylinder, a left push-pull rod, a right push-pull rod, a spring baffle and a spiral spring. The friction energy dissipation system comprises two friction energy dissipation device sets which are symmetrically arranged on the two sides of the reset system correspondingly. The two friction energy dissipation device sets are arranged on the left push-pull rod and the right push-pull rod in a sleeving mode correspondingly and fixedly connected with the closed end plates of the outer barrels at the two ends correspondingly. According to the novel spring self-resetting friction energy dissipation steel support, a composite energy dissipation system of'structure double module-function double redundancy-regulation and control double dimensions' is innovatively constructed, rapid replacement of friction plates and field parameter adjustment of a torque wrench are supported, and the novel spring self-resetting friction energy dissipation steel support has the advantages of being recoverable in function, reasonable in stress, simple in structure and convenient and fast to manufacture. And the anti-seismic property requirements of newly-built and existing structure reinforcing projects can be met.

This invention discloses a predictive transmission feedback method and system based on trajectory-aware modeling. The method includes: a receiver preprocessing the received signal to form basic observation information and constructing trajectory-aware observation information, including the complex plane position of the equalization symbol, geometric deviation information relative to the reference constellation point, and corresponding reliability statistics and channel quality information; inputting the trajectory-aware observation information into a trajectory-aware modeling network for feature extraction and generating a risk score through a risk prediction branch, and generating policy priors and recommended actions through a policy generation branch; based on the risk score and policy priors and / or recommended actions, forming predictive transmission feedback information and feeding it back to the transmitter; and the transmitter adaptively adjusting subsequent transmission strategies after receiving the predictive transmission feedback information. This invention can generate more instructive feedback content in short-packet high-reliability transmission scenarios, improving transmission reliability and enhancing system latency and energy efficiency.

This invention discloses a robot motion control method, system, and robot. The method includes: acquiring a robot's historical state sequence, motion hidden feature sequence, and time delay-related information; performing weighted temporal encoding on the historical state sequence based on the time delay-related information to obtain compensated state features; identifying the robot's current task stage to obtain stage features; extracting a summary from the motion hidden feature sequence and generating a gating vector based on the compensated state features and stage features, then filtering to obtain gated motion features; generating scaling modulation parameters and bias modulation parameters based on the gated motion features, compensated state features, and stage features; performing constraint projection on the modulation parameters according to safety constraints to obtain target modulation parameters; and using the target modulation parameters to linearly modulate the motion hidden feature sequence to output the robot's control action. This invention improves the stability, stage adaptability, and operational safety of robot motion control through state delay compensation, stage adaptive gating, and safety constraint projection.

This invention relates to a method for preparing copper-containing 550MPa grade low-carbon steel by continuous casting and rolling of thin slabs based on ferritic rolling. The invention aims to address the technical problem that copper-containing low-carbon steel requires post-rolling aging treatment, resulting in complex production processes, high energy consumption, and high emissions. Under the conditions of continuous casting and rolling of thin slabs, this invention achieves the required strength and plasticity balance by implementing precise rolling deformation in the ferrite region, enabling the material to obtain the desired strength and plasticity balance without post-rolling aging treatment. The method fully utilizes the deformation characteristics of the ferrite rolling stage under the conditions of continuous casting and rolling of thin slabs, achieving a balance between strength improvement and process simplification for copper-containing low-carbon steel. This invention is applicable to high-efficiency, low-energy-consumption continuous casting and rolling production lines for thin slabs, providing a feasible technical solution for improving the performance of copper-containing low-carbon steel without additional aging treatment, and has good engineering application value.