77results about How to "Improve refinement" patented technology

The invention belongs to the technical field of coal mine safety monitoring, and discloses a coal mine tunnel roof disaster real-time early warning system and method. Comprising the following steps: performing time sequence reasoning on monitoring data acquired in real time, respectively judging whether the key physical quantity of the roof triggers primary early warning or secondary early warning by acquiring an expected value prediction curve and an uncertainty boundary curve of the key physical quantity of the roof in a future time step, and acquiring corresponding early warning information when the early warning is triggered; constructing a dynamic causal graph, inputting the early warning information and the currently acquired key physical quantity into the dynamic causal graph for reasoning, calling candidate intervention measures based on the acquired current state node to perform anti-fact reasoning in the dynamic causal graph, and acquiring a risk evolution trajectory and a risk suppression efficiency index of the candidate intervention measures; and the risk suppression efficiency indexes are sorted and preferentially selected, and a causal decision early warning report containing the optimal intervention scheme is output, so that the scientificity and effectiveness of risk suppression are improved.

This invention discloses a low-hydrogen flux-cored welding wire based on two-dimensional MXene surface self-assembly modification, its preparation method, and its application, belonging to the field of welding materials technology. The low-hydrogen flux-cored welding wire comprises a steel strip outer sheath and a flux core filled within it, the flux core being composed of metal alloy powder and modified composite flux core powder. Its preparation method includes: preparing a two-dimensional MXene colloidal dispersion using a chemical etching method; cationically modifying the insulating slag-forming powder; mixing the two and electrostatically self-assembling and coating them; after drying, mixing with the metal alloy powder; filling the steel strip; and rolling and drawing into shape. This invention constructs a three-dimensional continuous conductive network within the flux core through the MXene layer, improving arc stability; simultaneously, the MXene shell forms a physically water-blocking labyrinth, endowing the welding wire with ultra-low hydrogen characteristics; the active titanium released by the decomposition of MXene at high welding temperatures can refine the weld grains and improve mechanical properties. This welding wire can be widely used in automated gas-shielded welding processes for high-strength steel.

The application discloses a reaction kettle, which comprises a kettle body, a plurality of partitions are fixedly and assembledly connected in the kettle body, through the partitions, a kettle cavity in the kettle body forms a plurality of reaction cavities; the reaction kettle further comprises a layered stirring mechanism, the layered stirring mechanism comprises a stirring shaft, a pushing spiral plate assembly is fixedly and assembledly connected on the stirring shaft, the pushing spiral plate assembly comprises a plurality of lower pushing liquid spiral plates and upper pushing liquid spiral plates; the layered stirring mechanism further comprises stirring assemblies which are respectively located between the lower pushing liquid spiral plates and the upper pushing liquid spiral plates; in the stirring process, the lower pushing liquid spiral plates push reaction materials upwards, the upper pushing liquid spiral plates push reaction materials upwards, the pushing mode of the reaction materials by the lower pushing liquid spiral plates and the upper pushing liquid spiral plates increases the dissolving, crushing and mixing effects of the stirring assemblies on the materials, and the material reaction process is effectively and greatly increased.

This invention relates to the field of robot interaction technology, specifically to a method for recognizing the intensity of human-computer interaction intentions in real time. The method includes the following steps: S1, acquiring video of pedestrians through a collection unit mounted on the robot, performing frame extraction on the video, and using a 3D skeleton extraction model to extract the skeleton information of each pedestrian in each frame in chronological order; S2, based on the skeleton information of each pedestrian in each frame, using a preset lightweight motion behavior recognition model to identify the interaction reference information of each pedestrian; S3, analyzing and processing the three types of interaction reference information—straight-line distance, orientation information, and motion behavior—to obtain the real-time interaction intention intensity of the pedestrian relative to the robot. This invention can accurately identify the interaction intentions of pedestrians, thereby improving the initiative and naturalness of social robots when interacting with humans.

The application discloses an in-situ self-generating ceramic particle reinforced low-tungsten-content composite material, and a preparation method of the in-situ self-generating ceramic particle reinforced low-tungsten-content composite material.The low-tungsten-content composite material is composed of the following components in percentage by mass: W 59% to 69%, Ni 21% to 28%, Fe 9% to 12%, and ceramic reinforcing phase 1%.The tungsten content in the material system is greatly reduced, the toughness of the bonding phase is significantly increased, the plasticity and processing performance are improved, the W atoms in the bonding phase are difficult to diffuse to the surface of other W grains during the sintering process, the long-range migration is blocked, the W grain growth is effectively inhibited, the size of the in-situ generated ceramic particles is small, the distribution is uniform, the interface between the metal matrix and the ceramic particles is pure and firm, the strong dispersion strengthening and fine-grain strengthening effects can be produced, and the application of the low-tungsten-content composite material is suitable for the fields of aerospace, radiation shielding and precision instruments.

This application discloses a method and system for access control of a hospital information system based on multi-factor authentication. The method includes: obtaining a user's access request to the hospital information system and determining the medical data type corresponding to the access request; constructing a set of candidate multi-factor authentication factors; obtaining the privacy intrusion attribute and security contribution attribute of each authentication factor; under the premise of conflict constraints between the privacy intrusion attribute and the security contribution attribute, constructing a partial order relationship between the authentication factors and eliminating authentication factors that are simultaneously dominated by other authentication factors in both the privacy intrusion attribute and the security contribution attribute, to generate a set of non-dominated authentication factors; selecting authentication factors from different attribute types from the set of non-dominated authentication factors to form an authentication factor combination; authenticating the access request based on the authentication factor combination, and controlling access permissions to the hospital information system according to the authentication result. This application achieves access control that balances privacy protection and system security.

The utility model relates to the technical field of aluminium alloy production, concretely relates to aluminium titanium boron wire adding structure for aluminium alloy production, and the technical problem that the utility model wants to solve is to overcome the defects in the prior art among wire feeding, mainly is realized through the following technical scheme: aluminium titanium boron wire adding structure for aluminium alloy production, including feeding device, processing device and discharge device, and feeding device includes feeding seat and feeding frame, and processing device includes processing box and processing structure, and discharge device includes discharge cover body, wire shaft and discharge drive part, still includes feeding device, and feeding device includes feeding base, feeding plate and feeding drive part, and the wire roll is led out feeding by feeding frame, and each aluminium titanium boron wire is handled by processing device again and then is discharged by discharge device, finally is sent into aluminium melt by feeding device, realizes aluminium titanium boron wire polishing preheating and is sent into aluminium melt at different angles, realizes the purpose that aluminium titanium boron wire disperses and adds, and improves subsequent refining effect and product uniformity.

The invention discloses a road maintenance site AI video sensing vehicle intrusion prevention and hidden danger self-inspection early warning system, and belongs to the technical field of road maintenance safety prevention and control. The system adopts a layered framework of a sensing layer, a transmission layer, a platform layer and an application layer, double AI cameras are used for realizing accurate identification of vehicle intrusion, hidden dangers and'three violation 'behaviors, and a'identification-early warning-supervision-rectification-tracing' management closed loop is constructed by matching an acousto-optic early warning device and a double transmission mode. The system can be quickly deployed in various operation vehicles or fixed structures, adapts to complex outdoor environments, has the advantages of high recognition precision, quick response and high compatibility, is suitable for maintenance scenes such as highways, national and provincial trunk lines, urban roads and the like, and can greatly improve the safety management level of maintenance operation.

The invention discloses a laboratory environment regulation and control auxiliary system based on artificial intelligence. The system comprises a data acquisition module, a laboratory scene recognition module, a laboratory environment suitability evaluation module, a laboratory environment regulation and control strategy generation module and an environment intelligent regulation and control auxiliary module. The invention relates to the technical field of data processing, in particular to a laboratory environment regulation and control auxiliary system based on artificial intelligence, which innovatively introduces a laboratory scene recognition module to recognize a laboratory scene in real time and effectively improve the environment regulation and control precision; a clustering center based on mahalanobis distance is introduced to initialize, a laboratory scene recognition objective function fused with prior reinforcement constraints is constructed, a weak correlation clustering center recognition strategy and membership redistribution optimization are used for carrying out clustering algorithm improvement, and the accuracy of laboratory scene recognition is improved; and a historical optimal position memory mechanism is introduced, and a dimension learning neighborhood search strategy is adopted to improve an optimization algorithm, so that the precision of a laboratory environment regulation and control strategy is improved.

This invention discloses an ultra-high strength heat-resistant titanium-based composite material and its preparation method. The preparation method includes: ball milling and mixing titanium alloy powder, reinforcing phase raw material, and β-stabilizing element powder to obtain a mixed powder, wherein the content of the β-stabilizing element in the mixed powder is 0.01 wt.%–9 wt.%; and using a laser melting deposition additive manufacturing method: delivering the mixed powder to a molten pool on the surface of a substrate via a powder feeding gas flow, melting and depositing it on the substrate surface under laser action, and obtaining the ultra-high strength heat-resistant titanium-based composite material through layer-by-layer deposition. The ultra-high strength heat-resistant titanium-based composite material prepared by this method achieves ultra-high strength, breaking through the performance bottleneck of the ultimate load-bearing capacity of titanium-based composite materials.

The invention provides an intelligent breeding behavior analysis system and method based on edge calculation and AI vision, relates to the technical field of intelligent breeding and computer vision, and solves the technical problems of low efficiency, poor behavior recognition accuracy and abnormal early warning lag caused by dependence on manual and cloud processing in existing breeding management. The system comprises an edge end device which is used for collecting a video stream in real time and carrying out target detection and key point identification on the video stream through a lightweight deep learning model to obtain a preliminary behavior classification result; the fog end server is used for gathering a plurality of preliminary behavior classification results, performing complex behavior recognition, behavior time sequence analysis and abnormal behavior detection, obtaining an abnormal behavior result and triggering real-time early warning; and the cloud platform is used for receiving and storing all data of the farm, performing long-term data mining, multi-source data association analysis and model training and updating, and generating decision support information. The method is used in the intelligent breeding process.

This invention relates to the field of disaster forecasting and early warning technology, and discloses a method and system for early warning of rainstorm disasters based on the rainstorm disaster bearing capacity coefficient. The method includes the following steps: acquiring multi-source data and basic geographic information of the warning area; extracting spatiotemporal features based on the multi-source data and basic geographic information; and calculating the gridded forecast rainfall within a predetermined time period based on the spatiotemporal features; acquiring historical rainstorm disaster data of the warning area; calculating the gridded rainstorm disaster bearing capacity coefficient based on the historical rainstorm disaster data and basic geographic information; establishing an empirical model based on the historical rainstorm disaster data and basic geographic information to calculate the gridded rainfall threshold; and obtaining the rainstorm disaster prediction result of the warning area based on the gridded forecast rainfall, the gridded rainstorm disaster bearing capacity coefficient, the gridded rainfall threshold, and the on-site measured rainfall, combined with the algorithm model. This method solves the problem of weak monitoring capabilities in existing disaster forecasting and early warning systems.

The application aims to provide a device and a process method for preparing fine-grain magnesium alloy through multi-petal staggered torsion composite extrusion, and belongs to the technical field of plastic processing of metal materials.The device comprises a die holder, and a lower concave die is arranged on the inner side of the die holder.The lower concave die is a fixed deformation concave die with a necked channel at the lower side, the top end of the necked channel is provided with an upper convex die, the outer side wall of the upper convex die is provided with a wedge-shaped block, and the wedge-shaped block is embedded in a wedge-shaped guide groove in the inner side wall of the lower concave die.The upper convex die is a funnel-shaped deformation die, which comprises eight fan-shaped convex die petals that are sequentially wedged, and the inner side wall of the fan-shaped convex die petal is a fan blade curved surface.The initial state of the fan-shaped convex die petal is high-low interval arrangement.Through the use of the application, the magnesium alloy blank can be subjected to continuous, uniform and significantly accumulated strain severe plastic deformation in a single extrusion process, the grain structure is significantly refined and the texture is weakened, the tensile strength, yield strength and elongation of the magnesium alloy at room temperature are greatly improved, and the preparation cost is reduced.

The application provides a method for optimizing microstructure of a neodymium-iron-boron magnet rapid solidification sheet by using ultrasonic waves, and belongs to the technical field of neodymium-iron-boron alloy rapid solidification casting sheet. The application applies ultrasonic vibration on a copper roller by using an ultrasonic wave introduction device while the copper roller is rotating, then neodymium-iron-boron alloy melt is cast onto the surface of the copper roller to obtain a neodymium-iron-boron magnet rapid solidification sheet; the initial driving frequency of the copper roller is accurately designed and the amplitude is limited during the casting process, so that the nucleation rate of the magnetic phase grains near the roller surface of the rapid solidification sheet is increased, the growth of the magnetic phase grains in the direction from the near roller surface to the far roller surface is promoted, the magnetic phase columnar crystals are effectively refined, and the uniformity of the microstructure and the thickness consistency of the rapid solidification sheet are significantly improved, so that the effects of improving the nucleation rate and inhibiting the growth of coarse crystals are achieved, and finally the rapid solidification sheet with refined columnar crystals and good orientation is obtained.

The application provides a full electromagnetic propulsion serpentine structure and belongs to the technical field of robots; the structure is driven electromagnetically, so that the structure does not have the fatigue problem of the rope in the rope driving, can be directly controlled by the current, the stability of the device structure and the convenience of the control are improved, and traditional driving units such as air pumps and hydraulic pumps are not needed, so that the volume and weight of the device are reduced. The application comprises rib modules arranged in sequence from front to back, and also comprises side scales, belly scales and ball joint modules; the rib module comprises a rib frame, side scale coils and belly scale coils, the side scale coils and the belly scale coils are fixedly installed on the inner side wall of the rib frame, one side of the side scale is connected with a side scale magnetic connecting rod and a side scale driven connecting rod, the other end of the side scale magnetic connecting rod and the side scale driven connecting rod is connected with the rib frame, one side of the belly scale is connected with a belly scale magnetic connecting rod and a belly scale driven connecting rod; the ball joint module comprises a ball joint socket, ball joint coils and a ball joint head.

This invention relates to the field of aluminum alloy smelting additives, and particularly to a coated aluminum-titanium-boron composite grain refiner, its preparation method, and its application. The coated aluminum-titanium-boron composite grain refiner comprises: a core and a shell covering the core; the core is a solid aluminum-titanium-boron alloy body made of aluminum-titanium-boron alloy powder; the shell is an alloy layer. The coated aluminum-titanium-boron composite grain refiner provided by this invention has superior grain refinement effect, a simple preparation process, and when used in aluminum alloy smelting, it results in ingots with higher grain refinement, more uniform microstructure, and superior quality.

The utility model discloses an embodiment provides a kind of charging equipment, including main casing, is equipped with containing cavity, the containing cavity is equipped with charging module, the inner wall of main casing is equipped with positioning installation part, the positioning installation part is equipped with pin installation slot;Pin module, including positioning module and pin assembly, the positioning module is located in the containing cavity, and is connected to the positioning installation part, the pin assembly is installed between the pin installation slot and the positioning module;Conductive spring leaf, installation in the positioning module, the conductive spring leaf is respectively with the charging module and the pin assembly electric connection.This embodiment by pin assembly is equipped in pin installation slot, and the positioning module that the pre-assembled is equipped in positioning installation part, realize pin assembly and main casing rotation connection, do not need to dismantle shell, effectively avoid the joint gap between pin shell and main casing, and then guarantee the integrity of product appearance.

The invention relates to a magnesium-based hydrogen storage material and a preparation method thereof, and belongs to the technical field of hydrogen storage alloy materials and preparation thereof. The hydrogen storage material is an Mg-5Ni alloy with Sm powder uniformly distributed on the surface layer and an amorphous / nanocrystalline structure in the interior. The Sm powder is wrapped by the surface layer of the Mg-5Ni alloy to form composite powder of a core-shell structure; the hydrogen storage material is prepared from Mg-5Ni alloy powder and Sm powder as raw materials, and the raw materials are mixed and then subjected to dry ball milling. The hydrogen absorption and desorption kinetics of the existing magnesium-based hydrogen storage material can be effectively improved, the hydrogen desorption activation energy of the magnesium-based hydrogen storage material is reduced, and the problem that a solid additive is difficult to uniformly distribute on the surface is solved.

The application discloses a laboratory motion line safety early warning method and device, which realizes personnel space-time trajectory reconstruction and accurate identification of abnormal motion line segments by real-time collection of relevant personnel positioning and behavior monitoring data streams, formation of motion line basic data with space-time stamps and identity tags, and combination with standard templates, and provides reliable support for risk assessment. By combining personnel characteristics and basic risk coefficients corresponding to the identity, the personal risk contribution value is calculated and the personal risk field is generated, realizing accurate quantification and differentiated assessment of personnel risk. Superimposing the personal risk field generates a dynamic group risk heat map, which can intuitively present the global risk distribution; building a risk coupling network can predict the conduction effect of high-risk areas, dynamically determine the early warning threshold according to the regional personnel and activity types, effectively improve the early warning accuracy, and reduce false positives and false negatives. In summary, the application realizes accurate control and risk early disposal of the whole process of laboratory motion line safety, and significantly improves the fine and intelligent level of safety management.

The application relates to the technical field of titanium alloy deformation heat treatment and microstructure performance regulation, and discloses a multi-direction forging method with temperature and deformation amount of alpha+beta titanium alloy being cooperatively and step by step reduced, which adopts a process of step by step temperature reduction and three-direction vertical deformation matching: square blank of alpha+beta titanium alloy is prepared and surface cleaning is carried out, first, compression deformation of 40%-50% is carried out along the X direction under the condition that the temperature is 5-20 DEG C higher than the beta transformation temperature of the alloy, then, compression deformation of 30%-40% is carried out along the Y direction after the temperature is reduced to the range of 50 DEG C below the beta transformation temperature, and then, compression deformation of 20%-30% is carried out along the Z direction after the temperature is continuously reduced to the range of 100 DEG C below the beta transformation temperature, the three directions are perpendicular to each other, and air cooling is carried out to room temperature after deformation; the application solves the problems in the prior art that the alpha+beta titanium alloy forging cannot consider the deformation plasticity and microstructure refining effect, the performance promotion depends on component adjustment, the process is complex, and the effect of the synergistic promotion of strength and plasticity is poor.

The application discloses an e-commerce warehouse center safety monitoring method based on deep learning, and relates to the technical field of warehouse safety vision, comprising the following steps: carrying out space-time alignment fusion on structured scene data and laser point cloud data, obtaining a three-dimensional point cloud representation, carrying out point-level segmentation and high-risk area identification on the three-dimensional point cloud representation through a PointNet network, and obtaining a warehouse high-risk area; abstracting scene objects in the structured scene data into graph nodes, establishing an interaction relationship graph according to the three-dimensional space representation, analyzing the interaction relationship between the scene objects in combination with a space risk result, generating an interaction risk result and a three-dimensional position marker; generating a three-dimensional visual picture according to the interaction risk result and the three-dimensional position marker, labeling a dangerous area and a risk object, and forming a warehouse risk visual report. The application significantly improves the automation, refinement and visualization level of warehouse safety monitoring.

The application discloses a method for processing and converting coal gangue into ecological soil, S1, degradation pretreatment: adding a degradation agent to the coal gangue in an aerobic environment at a temperature of greater than or equal to 20 DEG C; S2, crushing and screening: crushing the pretreated coal gangue to a target particle size; S3, high-temperature activation: calcining and activating at 400-950 DEG C at a temperature rising rate of 3 DEG C / min-20 DEG C / min to realize gradient temperature rising programmed decomposition of the coal gangue; S4, heavy metal passivation: adding a passivation agent to generate an acidic complexing / chelating reaction with metal ions for 12-72 h to reduce harmful components; and S5, curing and modification: adding a modifier and treating for 2-24 h to obtain the ecological soil. The method is used to solve the problems of heavy metal pollution, insufficient organic matter, slow conversion, high cost and complex process in traditional treatment of the coal gangue, and provides an environment-friendly, efficient and low-cost ecological soil preparation method.

The invention discloses a preparation method for constructing a multistage micro-nano heterostructure based on combination of a laser melting deposition process and a laser shock peening means, which comprises the following steps of: printing by using dry TC4 alloy powder, accumulating a printed TC4 metal printing layer to form a TC4 metal micron layer, performing low-power laser shock peening on part of the TC4 metal micron layer to form a TC4 metal submicron layer, and forming the multistage micro-nano heterostructure. A TC4 metal printing layer is printed on the submicron layer and subjected to high-power laser shock peening to form a TC4 metal nano layer, a TC4 metal printing layer is printed on the nano layer and subjected to low-power laser shock peening to form a TC4 metal submicron layer, printing and cyclic operation are continued on the submicron layer to form a sample, and the sample is obtained through annealing treatment. According to the preparation method disclosed by the invention, a micron layer-nano sandwich composite layer-micron layer multi-stage micro-nano heterostructure is formed, crack propagation is effectively hindered, and the elongation of the material is improved, so that alloy strength and plasticity synergistic strengthening is realized.

The invention relates to the field of metal material surface modification, in particular to a method for improving the laser shock peening effect of nickel-based alloy through a pulsed magnetic field. Comprising the following steps: S1, carrying out multivariate analysis on a pulsed magnetic field process by adopting a support vector regression algorithm, establishing a relation model between magnetic field process parameters and the strength and plasticity of a nickel-based alloy sample, and carrying out key parameter identification on a regression fitting model of the support vector regression algorithm by utilizing a physical information neural network, the optimal pulsed magnetic field process parameters are obtained; s2, testing the elastic modulus and Poisson's ratio of the nickel-based alloy sample treated by the optimal pulsed magnetic field process parameters by using a static test method, and calculating laser shock parameters; and S3, the nickel-based alloy sample to be treated is subjected to pulsed magnetic field pretreatment under the optimal pulsed magnetic field technological parameters, and then laser shock peening treatment is conducted through the laser shock parameters at the same time. The uniformity and the influence depth of the surface strengthening effect of the metal material can be improved.

The invention relates to the technical field of data processing, in particular to a tsunami disaster risk assessment method and system based on cloud computing and a medium. The method comprises the following steps: accessing and converging data of an earthquake monitoring system, a satellite remote sensing system, a tide level monitoring device and a historical tsunami event library to obtain a multi-source heterogeneous tsunami original data set; performing format standardization, time synchronization and semantic annotation processing on the multi-source heterogeneous tsunami original data set to obtain a unified data model; establishing and registering a data service interface based on the unified data model to obtain a data service set; and calling the data service set to obtain tsunami propagation analog input data. According to the tsunami disaster risk assessment system and method, efficient, accurate, real-time and operable comprehensive management of tsunami disaster risk assessment is realized through multi-source data standardization and semantic fusion, cloud computing parallel processing, multi-dimensional index analysis and dynamic visual display.

The invention discloses a multi-state node conversion method and system based on a block chain, and relates to the technical field of node conversion, and the method comprises the following steps: constructing a node steady state recognition model, continuously monitoring a trigger condition generated in a node operation process, calculating a change slope of the trigger condition, and calculating a node steady state recognition model; comparing the change slope with the threshold difference of the previous moment, and outputting the current transient confidence result of the node; and establishing an adaptive filtering window based on a transient confidence result, dynamically adjusting a boundary in the adaptive filtering window, weakening a low-confidence trigger signal, and only outputting an effective trigger signal subjected to boundary screening. According to the invention, through a steady state identification and dynamic filtering mechanism, the accuracy and anti-jitter capability of node state judgment are improved; and in combination with aggregation buffering, load prediction and probability convergence control, high-credibility execution of state switching and resource controllability are realized, and the stability, intelligence and traceability of node management are enhanced.

This invention discloses a reverse logistics network design method for addressing the inherent uncertainties of construction machinery, comprising: Step S1: determining the endogenous and exogenous uncertainties and the construction machinery recycling and remanufacturing objectives that need to be considered in formulating a reverse logistics network construction machinery recycling and remanufacturing plan; Step S2: constructing a mathematical optimization model for maximizing the total profit of the reverse logistics network, determining the influence relationship between decision variables and endogenous uncertainties, and constructing a decision-dependent uncertainty set; Step S3: obtaining the final mixed-integer linear programming model, solving it using Python and the operations research optimization software Gurobi, and obtaining the optimal profit value and the optimal solution for the recycling and remanufacturing decision variables; Step S4: determining the influence of uncertainties on the pricing strategy, expected profit, and recycling objectives of each node center in the reverse logistics network based on sensitivity analysis. This method can resist the disturbance effects caused by uncertainty and achieve robustness in the recycling decisions of the main enterprise.

This invention discloses a probabilistic design flood estimation method and system based on parameter and morphological uncertainties. The method includes: determining the uncertainty of the distribution parameters in flood frequency analysis and the morphological uncertainty of the dynamic synthesis of the design flood hydrograph; constructing a Monte Carlo simulation framework; performing Monte Carlo simulation cycles based on the framework, and in each cycle, jointly sampling the distribution parameters and the dynamic weight vector representing the morphological uncertainty of the hydrograph, and performing a complete calculation from estimating the design peak discharge to the dynamic synthesis of the design flood hydrograph, generating a design flood hydrograph; and aggregating all the design flood hydrographs generated by the Monte Carlo simulation cycles to obtain probabilistic results for flood control design. This invention realizes the transformation of design flood estimation from deterministic to probabilistic, can systematically evaluate the reliability of the results, and provides a scientific basis for risk-based flood control decision-making.

The application relates to an aluminum-silicon-strontium-titanium-zirconium alloy and an aluminum-silicon-strontium-titanium-zirconium alloy welding wire prepared from the same and belongs to the technical field of aluminum alloy welding wires. The alloy components and the weight percentages are as follows: Si: 4.50-5.50%; Mg: 0.01-0.05%; Sr: 0.02-0.50%; Ti: 0.01-0.15%; Zr: 0.01-0.20%; La: 0.01-0.10%; Ce: 0.01-0.15%; C: <0.0010%; the balance is Al and inevitable impurity elements, and the content of the inevitable impurity elements is less than 1.0 wt%. The application further discloses an aluminum-silicon-strontium-titanium-zirconium alloy welding wire prepared from the aluminum-silicon-strontium-titanium-zirconium alloy. Through control of the alloy components and the content of each component, the welding wire formed by the application has excellent performance in alloy mechanical properties, casting performance, grain refinement and welding quality.

This invention discloses a data visualization and analysis system for growth monitoring in precision beef cattle farming, comprising an individual identification module, a multi-source sensor data acquisition module, a data fusion and processing module, a growth analysis model, and a visualization and interactive platform. The multi-source sensor data acquisition module acquires multi-dimensional raw data; the data fusion and processing module performs structured processing on the multi-dimensional raw data to generate an individual growth dataset associated with a unique identifier; the growth analysis model dynamically assesses the growth performance, nutritional status, and health risks of beef cattle; and the visualization and interactive platform presents the individual growth dataset and the output results of the growth analysis model graphically. The advantages of this invention compared to existing technologies are: it provides a convenient system for identifying and associating data, integrating intelligent analysis and visualization into a single system for growth monitoring in precision beef cattle farming.