11results about How to "Avoid rationality" patented technology

The invention relates to a rail traffic unmanned aerial vehicle emergency patrol method based on an optical fiber monitoring and signal system, and the method is characterized in that the method comprises the steps: S1, obtaining all abnormal events in a target event interval and the position information of each abnormal event based on real-time physical parameters collected by a monitoring optical fiber in combination with train operation data; s2, grading the abnormal events based on the real-time physical parameters corresponding to the abnormal events to obtain grades of the abnormal events; s3, based on the position and the remaining endurance of each unmanned aerial vehicle, pairing the unmanned aerial vehicles for each abnormal event in combination with the position and the grade of each abnormal event, and performing flight path planning on each unmanned aerial vehicle based on the position of the paired abnormal event; and S4, controlling each unmanned aerial vehicle to inspect each abnormal event. Compared with the prior art, the accuracy of the abnormal event can be improved by combining the train operation data of the signal system.

The application discloses an off-grid photovoltaic-storage-diesel micro-grid hierarchical collaborative controller and method, and belongs to the technical field of micro-grid control. The controller comprises a scheduling collaborative layer, a coordination control layer and a device control layer. The scheduling collaborative layer makes energy scheduling decisions at a minute-level to hour-level time scale; the coordination control layer performs real-time power coordination and mode switching control at a millisecond-level to second-level time scale, includes three working modes of photovoltaic-storage main supply, diesel generator main supply and photovoltaic-storage-diesel parallel connection, and has pre-synchronization control and power smooth distribution functions; and the device control layer directly communicates with photovoltaic, energy storage and diesel generator units and executes power instructions. The application separates fast and slow dynamic control requirements through the three-layer architecture, realizes smooth switching and collaborative optimization of photovoltaic-storage-diesel three sources, and solves the problems of unreasonable control architecture, unstable switching process and unsystematic working condition division in the prior art, thereby effectively improving the power supply reliability, power quality and economic operation level of the off-grid micro-grid.

This invention provides an intelligent inversion method for inflow based on multi-source error constraint fusion, belonging to the field of hydrological forecasting technology. The method includes: constructing physical constraints based on long-sequence water level observation data, measured outflow sequences, and reservoir capacity-water level curves; constructing a composite optimization function including a reservoir capacity time-varying error compensation term, inflow continuity regularization constraints, and a water level observation data assimilation module; deriving the analytical inversion solution of inflow based on the Lagrange multiplier method; and automatically optimizing key parameters such as constraint weights and smoothing coefficients using intelligent optimization methods such as grid search and cooperative search algorithms to perform adaptive high-precision inversion under different hydrological scenarios. This invention, by dynamically adjusting the error weight coefficients, directly generates physically consistent inflow sequences without relying on the prior assumptions of traditional smoothing filters, significantly improving the performance of negative value rate control, water balance, and flood peak characteristic preservation.

The application discloses an intelligent control method and device for multi-warehouse and mixed stacking, computer equipment and a storage medium. The method comprises the following steps: receiving an outbound order and analyzing the same to generate system state snapshot information; planning the outbound sequence and stacking position of goods according to the system state snapshot information and a preset heuristic rule, and generating a stacking task allocation scheme; controlling a shuttle vehicle to take the goods out of the warehouse according to the planned sequence and transport the goods to the designated position according to the stacking task allocation scheme; transporting an empty pallet to the position and lifting the empty pallet to the stacking height according to the stacking task allocation scheme; stacking the goods on the empty pallet according to the stacking task allocation scheme; and after the stacking is completed, wrapping and packaging the pallet, and transporting the packaged pallet to the target position. The method of the application can improve the overall work efficiency, intelligent degree and collaborative performance of the warehouse logistics system.

The utility model relates to the technical field of smelting equipment, in particular to a conductive furnace bottom structure, which is formed by arranging a furnace bottom electrode for introducing direct current on a working layer and is matched with an adjustable direct current loop of the furnace bottom electrode, so that materials at the furnace bottom part can be heated, the materials are heated more uniformly, and the service life of the materials is prolonged. The problem that the furnace bottom is cooled due to unreasonable distribution of the hot layer at the furnace bottom is avoided; and meanwhile, the wire outlet end of the bottom furnace bottom electrode is arranged on the side face of the furnace bottom shell, that is, through a side face wire outlet mode, potential safety hazards can be effectively reduced while effective heat dissipation is achieved, and maintenance and use are convenient. Meanwhile, the utility model further provides the submerged arc furnace comprising the conductive furnace bottom structure.

The invention discloses an ore dressing device and method based on parameter intelligent control and dust removal recovery, and relates to the technical field of ore dressing. The device comprises an ore crushing and screening mechanism, a dust removal and recovery mechanism and an intelligent control module, the ore crushing and screening mechanism is provided with an ore recognition device used for recognizing ore types and a dust monitoring unit used for detecting the dust concentration in a box body, and the intelligent control module is in signal connection with the ore recognition device and the dust monitoring unit. And the control module is in control connection with the crushing assembly and the dust collector, adjusts working parameters of the crushing assembly according to the ore category, and adjusts working parameters of the dust collector according to the dust concentration. The method executes a parameter identification and control process based on the device. Crushing parameters can be automatically matched according to the ore characteristics, the dust collection power is adjusted in real time according to the dust generation amount, cooperative improvement of the crushing and screening efficiency and the dust removal effect is achieved, and meanwhile energy consumption is reduced.

The application discloses a large-scale two-dimensional label map aggregation node optimization method, relates to the technical field of computers, and comprises the following steps: when a map interactive operation or label node data changes, the zoom level and the viewport range of a current prompt map are acquired; based on the viewport range, target label nodes in the viewport range are screened from the label node data; according to the zoom level, the basic aggregation parameters for label node aggregation are determined; and combined with the node density of the target label nodes in the viewport range, the basic aggregation parameters are dynamically adjusted to obtain the aggregation parameters for the current viewport range. The large-scale two-dimensional label map aggregation node optimization method significantly reduces the memory occupation and the calculation burden caused by repeated creation of node objects, improves the overall operation stability and the resource utilization efficiency of the system, and thus better meets the comprehensive requirements of performance, real-time performance and display effect of a large-scale two-dimensional label map application scene.

The invention discloses a vibration sensor layout optimization method, a medium, equipment and a product, and relates to the technical field of sensor layout optimization, and the method comprises the steps: building a finite element analysis model of a tested structure, obtaining the vibration response distribution of the structure in a set frequency range through ANSYS harmonic response analysis, extracting a vibration amplitude cloud picture and a strain energy density cloud picture, and carrying out the analysis of the vibration amplitude cloud picture and the strain energy density cloud picture; preliminarily identifying a vibration sensitive candidate area according to the two cloud pictures and modal node positions; a sensor array is arranged in the candidate area, and vibration signals of the structure under actual excitation are collected; calculating a comprehensive score of each sensor according to the frequency component, the modal participation degree and the signal quality of the vibration signal; sorting the sensor arrangement point locations according to the comprehensive score, and screening an optimal sensor arrangement point location set in combination with clustering analysis; and verifying a layout effect through a vibration test, and carrying out iterative optimization on the sensor layout according to a verification result. According to the invention, the problem of unreasonable point arrangement or excessive point arrangement can be avoided.

The invention discloses a multi-subject defect image generation method based on position guidance. The method comprises the steps that a single-theme feature extractor and a multi-scale image denoising network based on position guidance are constructed, the single-theme feature extractor comprises a theme feature encoder and a theme layout generation module, and a reference image and a theme text are jointly encoded through a VAE image encoder, a CLIP text encoder and a theme feature extraction UNet network; the regional feature injection module is used for extracting high-expressivity image features and automatically generating spatial layout information of each theme, the regional feature injection module comprises a regional feature mask sub-module and a regional feature fusion sub-module, and isolation and directional expression of theme features are realized through explicit region division and a cross attention mechanism; a two-stage training mode is adopted, a single-theme feature extractor is pre-trained, and then an overall model is jointly trained. According to the method, the problems of topic feature confusion and unreasonable layout in a traditional method are effectively solved.

The application discloses a composite biaxial compression test device and method. The device comprises an X-direction compression part and a Y-direction compression part. The X-direction compression part comprises a first upper compression plate, a first lower compression plate, a first anti-side-bending cover plate and a first fastening bolt. The first anti-side-bending cover plate is used to compress the first upper and lower compression plates and has a gap with the first upper compression plate. The X-direction compression part adopts a staggered asymmetric structure to cover the whole compression working section of the test piece in the X direction. The Y-direction compression part comprises a second upper compression plate, a second lower compression plate, a second anti-side-bending cover plate, a third anti-side-bending cover plate and a second fastening bolt. The second and third anti-side-bending cover plates are used to compress the first upper and lower compression plates of the X-direction compression part respectively to provide out-of-plane support for the test piece. The application solves the problem of easy buckling and insufficient constraint of the working section of the test sample in the existing biaxial compression test, realizes uniform introduction and reliable anti-instability of the biaxial compression load, and improves the test success rate and data accuracy.

The application discloses a wireless signal data communication method and system based on an internet of things, and relates to the technical field of data communication.The technical solution points of the application comprise the following steps: obtaining channel state data and terminal energy consumption demand data of the internet of things communication, and setting intelligent signal regulation and control nodes according to the channel state data and the terminal energy consumption demand data; obtaining signal modulation efficiency monitoring data of an independent data transmission channel according to the intelligent signal regulation and control nodes, analyzing the signal modulation efficiency monitoring data to obtain modulation efficiency abnormality coefficients of the independent data transmission channel and modulation efficiency abnormality nodes of the intelligent signal regulation and control nodes; and obtaining signal power loss monitoring data of the independent data transmission channel according to the intelligent signal regulation and control nodes.The effect is that the communication system has the optimization capability of dynamically adapting to environmental changes.