8 results about "Natural science" patented technology

The invention provides a method for quantifying tidal non-stationarity, and belongs to the technical field of natural science research based on nonlinear data analysis. Firstly, hour-by-hour tide observation data with the observation duration not less than one month in a target sea area are obtained; separating non-tidal low-frequency and high-frequency tidal changes in the data by using an empirical mode decomposition method, and extracting a tidal component; returning the tide component through a classical harmonic analysis CHA model to obtain CHA return tide; then calculating a correlation coefficient, a mean absolute error and a root-mean-square error of the tidal component and the CHA, and respectively dividing the mean absolute error and the root-mean-square error by an average value of the observation absolute values to obtain a normalized index; finally, (1, 0, 0) is used as a reference point, (CC, NMAE, NRMSE) is used as an observation point, and the tidal non-stationarity index NS is calculated according to a two-point distance formula. The device can be widely applied to global sea areas and is suitable for sea areas of different tide types and sea areas of different tidal ranges.

Didactic experimental system for teaching (especially control and drive) technical and scientific fundamentals in the classroom, comprehensive a) an electronic base unit with embedded microcontroller, WLAN and Bluetooth LE interface, b) wired connection options for external expansion modules, c) permanently integrated hardware for control engineering, drive engineering, and measurement engineering tests, d) a wirelessly connected browser-based user interface with block diagram display, parameter input, real-time visualization and data export capability,

The invention is suitable for the technical field of scientific literacy evaluation, and particularly relates to a scientific literacy evaluation method and system, and the method comprises the steps: dividing evaluation personnel of scientific literacy, determining learning partners, segmenting the scientific literacy evaluation into a plurality of fields, and determining the learning partners; wherein the fields include at least: natural science, physics, chemistry and biology; a preset evaluation questionnaire is issued to the learning partner and the evaluation personnel in parallel, self-evaluation data and other-evaluation data of the evaluation personnel are collected and segmented into a plurality of single items, and each single item corresponds to a score. By selecting the target user and the target test question, selection sources of the evaluation test questions can be increased, and the evaluation test questions with customized difficulty are provided for evaluation personnel, so that question setting is more targeted, use of standardized test questions is avoided, the accuracy of scientific literacy evaluation is improved, meanwhile, the preparation time of test paper evaluation is greatly shortened, and the test paper evaluation efficiency is improved. And the evaluation efficiency is greatly improved.

The utility model provides an experiment drying box, which relates to the technical field of natural science research and comprises a box body, a door plate is rotatably connected onto the box body, a heating pipe is fixedly connected onto the box body, a hot-air blower is fixedly connected onto the box body, an output end of the hot-air blower is communicated with an inner cavity of the box body, and the output end of the hot-air blower is communicated with the inner cavity of the box body. A plurality of exhaust holes are formed in the box body, two placing plates are arranged in the box body, a protection structure is arranged in the box body, the protection structure is mainly composed of four sliding grooves, every two of the four sliding grooves are formed in the inner walls of the two sides of the box body, and the sliding grooves are in sliding connection with the placing plates. By means of the drying device, the problem that due to the fact that the temperature in the drying bin is too high, although a worker wears gloves when taking the gloves, the worker needs to stretch the hands into the drying bin to take the gloves, and the positions, where the gloves cannot cover, of the wrists are likely to be exposed, and scalds are caused is solved.

The invention relates to the technical field of rock and soil natural science, in particular to an overlying strata separation layer state dynamic estimation and self-adaptive grouting method and system.The method comprises the steps that a progressive geologic model is established, limitation of traditional static modeling is broken through, and the model is continuously optimized along with data accumulation and perfectly matched with the complexity of an actual stratum; a digital twinborn model is constructed in the aspects of overlying strata deformation and separation layer space development, the separation layer development state is estimated in real time, and a foundation is laid for dynamically optimizing the grouting opportunity; in the aspect of self-adaptive grouting parameter matching, parameter dynamic optimization of digital twin enabling is provided, and grouting parameters are made to always adapt to the complex and changeable field environment; optical fibers are arranged along the grouting drill holes, temperature and sound wave signals are monitored in real time, and a slurry diffusion path and filling fullness are inverted; and a grouting efficiency knowledge base is established, a geological condition-grouting strategy-control effect implicit association rule is mined through a graph neural network, and engineering continuity is guaranteed.

The invention provides a slope sediment starting flow velocity and bed load sediment transport rate prediction method and a model building method, and belongs to the technical field of hydraulics and river dynamics in natural science research. The method comprises the following steps: firstly, determining an acting force of sediment on a slope and an expression of the acting force, establishing a stress balance equation of sediment particles in a critical state, and introducing the force expression to obtain a slope sediment starting velocity initial expression; replacing the near-bottom flow velocity in the sediment starting critical flow velocity formula with the vertical line average flow velocity to obtain a slope sediment starting flow velocity prediction formula; parameters are determined according to an open channel sediment critical initial movement flow velocity measurement experiment, fixed parameters of a prediction formula are obtained, and meanwhile, a bed load sediment transport rate expression is established for prediction. According to the method, a sediment starting flow velocity formula which has simple and easily-obtained parameters and is suitable for a slope, a gentle slope and a flat bed is established, the model also comprises the prediction of the sediment transport rate, and the result also has relatively high reliability.

This invention relates to other fields of natural science research and experimental development technology, and discloses a resource optimization method for reservoir scheduling, comprising: acquiring spatiotemporal evolution data streams and experimental constraint boundary factors characterizing the evolution law of the simulated object; parsing the spatiotemporal evolution data streams to extract nonlinear mutation feature values ​​and generate addressing weight guiding nodes; reconstructing processor memory allocation rules based on addressing weight guiding nodes, pre-setting forced addressing indexes in physical memory, and locking data search paths using experimental constraint boundary factors; and generating globally optimal node evolution paths using a nonlinear dynamic programming solver and mapping them to resource allocation vectors. This invention uses physical extreme value constraints as a data structure generation guide, reduces memory idleness caused by blind temporal directionality in conventional algorithms, and achieves rapid convergence and global optimization of simulation deduction paths under complex constraints.

The application provides a method for quantifying tidal non-stationarity, and belongs to the technical field of natural science research based on nonlinear data analysis; first, obtaining hourly tidal observation data of a target sea area for not less than 1 month; then, separating non-tidal low-frequency and high-frequency tidal changes in the data by using an empirical mode decomposition method to extract tidal components; then, returning the tidal components by a classical harmonic analysis (CHA) model to obtain CHA returned tides; then, calculating the correlation coefficient, mean absolute error and root mean square error of the tidal components and the CHA, and dividing the mean absolute error and the root mean square error by the average value of the observed absolute value respectively to obtain normalized indicators; finally, taking (1, 0, 0) as a reference point and (CC, NMAE, NRMSE) as an observation point, calculating a tidal non-stationarity index (NS) according to a two-point distance formula. The application can be widely applied to global sea areas, and is suitable for different tidal type sea areas and different tidal range sea areas.