21results about How to "Systematic" patented technology

The application relates to the technical field of waterproof construction of building engineering, and discloses a waterproof structure at the interface between a temporary lattice column and a bottom plate of a foundation pit, which comprises a bottom waterproof layer, a fine stone concrete protective layer, a first-poured concrete bottom plate, an inner water-stop steel plate, an outer water-stop steel plate, a steel plate water-stop belt, post-poured expansion concrete and a grouting pipe; the waterproof structure is constructed into a bottom waterproof layer combined with sealing glue, inner and outer water-stop steel plates combined with water-swelling water-stop strips, a steel plate water-stop belt, post-poured expansion concrete, a pre-buried grouting pipe and other multi-channel waterproof measures, so as to form a complete waterproof system with prevention as the main part, multi-channel prevention and grouting remediation. The waterproof structure fully learns from the mature method of the post-poured water-stop joint, initiatively applies the post-poured water-stop idea to the waterproof structure of the interface between the lattice column and the bottom plate, and provides the waterproof structure at the interface between the temporary lattice column and the bottom plate of the foundation pit, which forms a multi-channel prevention system and has reliable waterproof effect.

The invention discloses a DNA bar code system and method for identifying glycyrrhiza medicinal plants and hybrid complexes thereof, and belongs to the technical field of molecular biology and traditional Chinese medicine identification. The system is formed by combining three bar codes of a nuclear gene segment ITS, a chloroplast gene segment ndhA and a chloroplast gene spacer trnH-psbA. Wherein ndhA is a core bar code which is screened and verified for the first time, and the specific variation site of the ndhA can be used for accurately distinguishing three kinds of medicinal liquorice, namely, Glycyrrhiza uralensis Fischhex DC., Glycyrrhiza glabra. And Glycyrrhiza inflata Batalin. The system fully utilizes the characteristics of chloroplast paternal heredity of glycyrrhiza, not only can identify homozygous species, but also can efficiently analyze complex hybridization and introgression types, and traces the source of a male parent. Compared with a traditional multi-bar code combination, the method has the advantages of being high in identification success rate (up to 98.08%), easy and convenient to operate and low in cost, and is suitable for liquorice germplasm resource identification, medicinal material market rapid screening and improved variety breeding.

The invention discloses a parameterization optimization method of a mixed-flow water turbine blade and a water turbine, and relates to the technical field of water turbine optimizing.According to the parameterization optimization method, a three-dimensional parameterization model based on initial geometric parameters is constructed, multiple rounds of iteration orthogonal optimization are carried out with design parameters as variables, a search space is dynamically shrunk after each round of optimization, and therefore the optimization efficiency of the mixed-flow water turbine blade is improved. The optimization efficiency and the convergence stability are greatly improved; the problem that a traditional global optimization algorithm is high in calculation cost is avoided, meanwhile, the problem that single-round optimization is prone to falling into local optimum is solved, complex and mutually coupled parameters can be efficiently explored within the limited number of simulation times, and the simulation efficiency is improved. And a closed-loop optimization path which is high in systematicness and can be really applied to engineering is provided for improving the performance of the existing water turbine.

The invention discloses an equestrian competition performance prediction system based on multi-modal monitoring, and relates to the technical field of equestrian sport monitoring and intelligent prediction. The system comprises an acquisition module, a processing module, a prediction module, a display module and a data closed-loop optimization mechanism. The acquisition module is used for acquiring horse video and physiological and environmental multi-modal data through multiple types of equipment; the processing module is used for realizing data fusion processing, gait behavior recognition and facial expression emotion evaluation; the prediction module outputs a competitive performance quantitative score and risk early warning based on a machine learning model; the display module provides a visual interaction interface; and the data closed-loop optimization mechanism realizes model iterative optimization through competition result return. According to the method, the problems of single monitoring dimension, data splitting, lack of prediction capability and the like in the prior art are solved, comprehensive perception of horse states and accurate prediction of competitive performance are realized, the scientific level of training management is improved, and the method has wide practical prospects and industrialization values.

The present application belongs to the technical field of environmental hydraulics, and relates to a reservoir operation scheduling carbon transport characteristic research method, device and computer equipment. The method comprises the following steps: constructing a three-dimensional reservoir carbon transport monitoring network to obtain basic data of the carbon transport process; based on the basic data, a water dynamics-water quality coupling model for simulating the carbon transport process is constructed, and the water dynamics-water quality coupling model is verified by using monitoring data; the operation scheduling characteristics are quantified, and scheduling characteristic parameters affecting the carbon transport are extracted; a carbon flux accounting model considering the influence of scheduling is established to quantify the influence of scheduling on carbon budget; a quantitative relationship between the carbon transport characteristic parameters and the scheduling characteristic parameters is established; based on carbon environmental constraints, scheduling optimization evaluation is carried out, the carbon target is included in the scheduling optimization system, and a low-carbon scheduling scheme is proposed. The present application has systematicness and dynamicity, realizes quantitative evaluation of carbon transport, has practicability, can be popularized to carbon cycle research of other types of water bodies, and has expansibility.

This invention discloses an apparatus and method for preparing fresh Dendrobium officinale extract, belonging to the field of medicinal plant processing. It solves the problems of low extraction rate of active ingredients, loss of heat-sensitive components, short shelf life, high cost, and difficulty in industrialization in existing fresh Dendrobium officinale processing methods. The apparatus consists of a cutting machine, an automatic conveying system, a pure copper tank, a dedicated grinder, a plate centrifuge, a homogenizer, a DSI instantaneous sterilizer, and a Class 100 aseptic filling platform connected sequentially, adaptable to the entire fresh Dendrobium officinale processing flow. The method uses fresh stems of Dendrobium officinale (green-stemmed ironwood / Dendrobium huoshanense) as raw material. After pretreatment and 2-5mm slicing, the stems are ground with tap water boiled and cooled to 2-8℃ in a copper tank at a material-to-liquid ratio of 1:15-30 to break the cell walls. The mixture then undergoes solid-liquid separation, homogenization, DSI instantaneous sterilization, and aseptic filling to obtain the finished product. The total time from slicing to sterilization is ≤4 hours. This invention improves the retention and yield of active ingredients (95.5%), reduces overall costs by 21.95%, and the product has a shelf life of over 6 months at room temperature away from light. It has a bright green color, a strong gelatinous texture, and can be compounded or further processed, resulting in high market value.

The embodiment of the invention provides an electric energy meter interface detection device and method, and the device comprises a control module; the strong current interface detection module is electrically connected with the control module and comprises a strong current detection branch circuit, and the strong current detection branch circuit is used for detecting a state signal of a strong current interface of the electric energy meter; the weak current interface detection module is electrically connected with the control module, the weak current interface detection module comprises a plurality of weak current detection branches, and each weak current detection branch is used for being connected with a weak current interface of the electric energy meter so as to detect a state signal at the corresponding weak current interface; and the plurality of indicating lamps are electrically connected with the control module and are used for displaying state signals of the strong current interface and / or the weak current interface. According to the technical scheme, the control module is connected with the strong current interface detection module and the weak current interface detection module, so that the real-time state signal detection of the strong current interface and the plurality of weak current interfaces of the electric energy meter is realized.

This invention discloses a coupled design method for UHPC panel structures in permafrost foundations, relating to the field of permafrost materials technology. The method includes the following steps: calculating the equivalent heat flux between the bottom of the panel and the surface of the foundation; calculating the equivalent depth of action of the permafrost foundation; calculating the equivalent design normal stress of the UHPC panel structure; calculating the safety margin coefficient of the panel structure; calculating the equivalent shear stiffness of the connecting structure; establishing an overall stability evaluation model for the panel structure and calculating the system stability coefficient; and performing joint optimization design to complete the coupled design of the UHPC panel structure in permafrost foundations. This invention constructs a thermo-mechanical coupled design system between the UHPC panel structure and the permafrost foundation, integrating the thermal disturbance of the panel structure, the freezing depth of the permafrost foundation, and the frost heave pressure of the foundation into the structural design process. It also coordinates the crack resistance of the panel with the stiffness of the connecting structure, achieving a full-process coupled analysis from the influence of heat transfer to the stress response of the structure.

The invention discloses a cluster networking method based on an unmanned aerial vehicle task networking database. The cluster networking method specifically comprises the steps of performing stage division of various types of tasks based on task scenes; constructing a basic task scene networking database based on historical experiences; based on the divided task stages, performing similarity search with task scenes in a networking database; and carrying out consistent networking strategy transfer on the cluster based on a networking database similarity search result. According to the method, historical task stages are classified and analyzed through machine learning based on the constructed task scene networking database, reusable experience is formed, a new task directly calls a verified optimization strategy through scene matching, and particularly, when a large-scale unmanned aerial vehicle cluster executes a dynamic multi-stage task, the task efficiency is greatly improved. The optimal networking strategy matched with the current task scene can be quickly, adaptively, consistently and reliably selected and switched, so that the overall collaborative efficiency and robustness of the cluster in a complex task environment are improved.

The present application relates to the technical field of traffic demand management, and discloses a system for evaluating the correlation between urban built environment and climate factors and online car-hailing demand, comprising: an input module for obtaining grid-based urban built environment and climate data and corresponding online car-hailing demand data, and performing data cleaning and screening; an index module for calculating and storing a built environment index system related to online car-hailing demand, and quantitatively calculating the index values in the built environment index system according to the data input by the input module; an analysis module for establishing a multi-layer development model for analyzing the correlation between urban built environment and climate factors and online car-hailing demand according to the index values output by the index module; and an evaluation output module for obtaining evaluation results and performing analysis through the multi-layer development model. The present application comprehensively evaluates the correlation between various factors and online car-hailing travel demand, optimizes online car-hailing scheduling and resource allocation during urban construction, and improves the efficiency of online car-hailing operation services.

The application discloses a space flexible truss vibration control experimental system based on a liquid-electric hybrid actuator, comprising: a single machine performance test platform of the liquid-electric hybrid actuator, which is used for verifying the static output force characteristics, positioning characteristics and driving frequency response characteristics of the liquid-electric hybrid actuator under the open-loop no-load condition; a one-dimensional vibration isolation test platform of the liquid-electric hybrid actuator, which is used for verifying the active-passive integrated one-dimensional broadband vibration isolation effect of the liquid-electric hybrid actuator under the variable load condition; and a flexible truss vibration control ground test platform based on the liquid-electric hybrid actuator, which is used for measuring the influence law of the flexible truss dynamic response and controlling the output of the liquid-electric hybrid actuator. The application can reflect the influence law of the hinge nonlinearity and geometric nonlinearity on the flexible truss dynamic response on one hand, and can verify and compare the effectiveness and practicability of the online vibration active control algorithm of the flexible truss structure on the other hand.

The invention discloses a front fracturing well closing flowback numerical simulation method considering reservoir damage, and belongs to the technical field of petroleum development reservoir transformation. The method comprises the steps that initial parameters of a target oil reservoir are obtained, fracturing fracture propagation simulation is conducted, and an embedded discrete fracture grid is constructed based on the fracture form obtained through simulation; determining a function relationship between the reservoir damage coefficient and the water saturation according to an experimental result; establishing a reservoir parameter dynamic calculation model; constructing a mass conservation equation and carrying out differential discretization to obtain a numerical discretization solving model; and performing iterative solution on the model, dynamically updating reservoir physical property parameters at each time step, and finally obtaining a pressure field, a saturation field and crude oil yield prediction in the whole fracturing process. The problem that reservoir damage caused by fracturing fluid invasion cannot be dynamically reflected through traditional numerical simulation is solved, accurate simulation of the full-period process of preposed fracturing, well closing and flowback is achieved, and a reliable tool is provided for fracturing optimization and productivity prediction.

The invention belongs to the technical field of artificial intelligence application, and relates to an all-around automatic checking method and system for academic literature citation, and the method comprises the steps: extracting reference literature data from academic literatures; standardizing the format of the reference data through a noise robust generative literature analysis model; separating elements from the standardized reference data, comparing the elements with data in a literature knowledge base, and judging the authenticity of the reference according to the similarity; and establishing an association mapping relationship between the mark in the main body of the academic literature and the reference data, detecting whether the mark in the main body and the reference data have logical association through a consistency detector, and giving a credibility level and interpretation information. According to the method, the standardization and consistency problems caused by negligence in the academic paper writing process can be checked, and the risk of false literature reference behaviors or nonstandard reference literatures possibly occurring in the AI generated text is prevented.

The application is a slow landslide building vulnerability analysis method based on FLAC3D and PS-INSAR, including the following steps: S1, collecting the required research data; S2, obtaining the building disaster resistance capability evaluation index system and weight through literature research and expert scoring, and obtaining the building disaster resistance capability index calculation value R; S3, using PS-InSAR technology to calculate the cumulative displacement of the landslide at different locations, and according to the cumulative displacement value and the building disaster resistance capability index value R obtained in S2, the landslide disaster causing strength inversion value I is obtained by inversion p , and then the displacement-I p scatter plot fitting obtains the landslide disaster causing strength empirical curve; S4, using FLAC3D to simulate the cumulative displacement of the landslide under extreme conditions, and using the landslide disaster causing strength empirical curve to obtain the landslide disaster causing strength index calculation value I under extreme conditions; S5, using R and I to obtain the disaster body vulnerability under extreme conditions. The quantitative problems of building disaster resistance capability and landslide disaster causing strength are solved.

The application discloses a large-section circular anti-slide pile multi-structure comparison pile pushing test method and belongs to the technical field of geotechnical engineering model tests. The method comprises the following steps: a model preparation stage, based on the strict similarity theory, a model pile and a slope body material are designed and prepared, and a self-reducing friction resistance system is installed; an accumulation test stage, single-row pile, multi-type pile comparison, double-row pile and portal frame pile tests are sequentially carried out on the same slope model, and the structure is gradually complicated; and a decrement test stage, single-row cantilever pile test and side friction resistance test are sequentially carried out, and the structure is gradually simplified. The application realizes the system comparison of various anti-slide pile structure forms on one set of model through the closed-loop test logic of "accumulation-decrement", has high test efficiency and strong data comparability, integrates the systematic similarity design, innovative friction resistance reduction and test technology, effectively improves the test precision and authenticity, and provides a comprehensive and reliable test means for the design optimization and theoretical research of the large-section circular anti-slide pile.

The application provides a deep coal rock gas favorable area division method, a computer device and a storage medium. The method comprises the following steps: for deep coal rock gas with a depth of more than 3000 m, an evaluation index system with multiple levels is established, and the weight of each evaluation index in each level of the evaluation system is determined; for a plurality of target single wells, the comprehensive score of each single well is calculated based on the evaluation index system; the comprehensive score of each single well is plane interpolated to obtain a comprehensive score plane distribution map; and then the favorable area is divided according to a threshold on the map. The device comprises at least one processor; a memory storing program instructions, the program instructions comprising instructions for executing the above method. The storage medium stores program instructions. The application is suitable for deep coal rock gas favorable area evaluation with a depth of more than 3000 m, has the characteristics of clear results and strong systematicness, can better solve the problems of fuzziness and difficulty in quantification, and is suitable for solving various non-deterministic problems.

The invention discloses a water-turbine generator set updating transformation and evaluation method, and relates to the technical field of water-turbine generator sets. According to the method, starting from power station and unit parameter collection, the transformation range is preliminarily judged in combination with maintenance, operation and vibration throw data, then core analysis is carried out on whether a runner is transformed or not, the power generation potential improvement requirement, the capacity increasing target and scheme determination, and technical feasibility is verified through CFD simulation and model tests; and rechecking the adaptability of the auxiliary system, the electrical equipment and the basic structure, and finally combining investment estimation and economic evaluation to output a decision basis. According to the method, the whole transformation process is covered, the technical rationality and economic benefits are considered, the transformation range can be accurately defined, the problems of efficiency attenuation of old units, insufficient adaptive power grid capacity and the like are solved, scientific support is provided for power station transformation decision making, and reference is provided for similar projects.

The application provides a target stereoscopic positioning method and system based on multi-node joint processing of a spaceborne radar, wherein the method comprises the following steps: deploying multiple satellites, obtaining a downward angle and a space cone angle of a target relative to the satellites; calculating three-dimensional coordinates of the target in a satellite antenna panel coordinate system; constructing a hierarchical conversion model from a geodetic coordinate system to a coordinate system of each satellite antenna panel; constructing an over-determined equation group with the target coordinates in the geodetic coordinate system as unknown quantities; solving the equation group by using a least square algorithm to obtain the three-dimensional coordinates of the target in the geodetic coordinate system; and finally converting the three-dimensional coordinates into longitude, latitude and height. The application utilizes the joint observation of multiple satellites to form redundant information, and introduces a rigorous hierarchical coordinate conversion model considering the orbit, the earth rotation and the installation attitude, so that the multi-satellite heterogeneous observation is unified to the same reference, and the over-determined equation group is solved, thereby significantly improving the accuracy and robustness of the target stereoscopic positioning.

The invention discloses a common-ground converter topology derivation method, and belongs to the technical field of converters. Comprising the following steps: determining a node number na and a switch number nb of a common-ground converter topology; according to the double-grounding characteristic circuit, the negative electrode of the input power supply and the negative electrode of the output end are common-grounded; constructing an adjacent matrix according to the node number and the switch number; and inserting capacitors and inductors into the adjacent matrix to obtain all topologies, performing isomorphic screening and feasibility screening on the obtained topologies, and rejecting topologies of unneeded categories according to the required categories. The common-ground converter topology derivation method provided by the invention is completely based on adjacent matrix modeling, so that automatic generation and analysis can be conveniently realized through programming software; the method is high in systematicness and clear in rule, can effectively eliminate invalid or redundant structures, and remarkably improves the topology derivation efficiency and integrity.

This application belongs to the field of additive manufacturing technology, specifically a high-performance Alnico permanent magnet and its preparation method and system. The preparation method includes the following steps: using Alnico alloy powder as raw material, preparing an Alnico permanent magnet blank using selective laser melting, and controlling the process parameters of selective laser melting to ensure that the temperature gradient of the molten pool in a specific direction is ≤2.0×10⁻⁶. 7 K / m, and cooling rate ≤ 3.0 × 10 6 K / s, a specific direction perpendicular to the laser scanning plane and passing through the center of the molten pool; the Alnico permanent magnet blank is homogenized, subjected to magnetic field heat treatment, and tempered to obtain the Alnico permanent magnet. This application successfully achieved SLM forming of high-density, low-defect Alnico permanent magnets by precisely controlling the thermal history of the molten pool; it also has important reference and promotion value for the SLM forming of other high-entropy alloys, copper alloys, and other multi-component alloys with significant differences in element melting points and prone to segregation.

The present application relates to the technical field of preparation of smoking burst beads, and provides a quality design and formula construction method for smoking burst beads based on model guidance, which comprises the following steps: performing multi-dimensional index matrix determination on the colloid raw materials of the smoking burst beads to construct a colloid characteristic database; performing an adaptability experiment on the wall material of the smoking burst beads and a high-speed dripping process to screen out a wall material characteristic interval suitable for high-speed dripping; establishing a quantitative relationship model between the component proportion of the wall material and the burst strength of the burst beads; based on the quantitative relationship model, wall material formulas covering the burst strength range of 7-18 N are obtained by compounding, and the formula, process, quality and texture data thereof are collected to construct a full-link database; based on the full-link database, a combination algorithm is used for data preprocessing, model training, quantitative application and verification to realize accurate grading of the quality of the burst beads and intelligent screening of the formula. The present application can realize accurate prediction of the quality of the burst beads and intelligent screening of the formula, shorten the research and development cycle, and improve the qualified rate.