35 results about "Scientific analysis" patented technology

The invention provides a content marketing semantic analysis method and system based on natural language processing, and relates to the technical field of natural language processing, and the method comprises the steps: constructing a marketing intention semantic tree through dependency syntax analysis, calculating audience perception vectors to form a conduction path graph, recognizing and demonstrating conflict unit pairs, and evaluating marketing persuasion. A double-layer optimization objective function is constructed for text reconstruction, scientific analysis and accurate optimization of marketing content are realized, the persuasion and the propagation effect of the marketing content are improved, the consumption of marketing resources is reduced, and the accuracy of a marketing strategy is enhanced.

The invention relates to the technical field of intelligent water affair management, and discloses a comprehensive management system for intelligent water affair. The system comprises a hydrological data acquisition module, an abnormal feature recognition module, a correlation analysis module, a grading early warning module and a decision output module. The hydrological data acquisition module acquires data such as water quality and water flow velocity of multiple monitoring points to generate a hydrological feature set; the abnormal feature recognition module extracts abnormal indexes and topological information to form a pipe network abnormal feature distribution diagram; the correlation analysis module analyzes the pollution diffusion path and generates an abnormal correlation analysis result; the grading early warning module divides risk grades and outputs an early warning parameter set; and the decision output module generates a partition regulation and control instruction and a resource allocation strategy. According to the system, comprehensive monitoring, accurate abnormity identification, scientific analysis and association, reasonable early warning and efficient decision making of the water supply pipe network are realized, and the intelligent water affair management level is improved.

The invention discloses a supporting device for forest tree pest and disease damage data acquisition, and relates to the technical field of agriculture and forestry, and the supporting device is characterized by comprising a telescopic rod, a fixing plate is arranged on the telescopic rod, an insect pest trapping and killing mechanism is arranged on the fixing plate, and an insect pest data acquisition mechanism is arranged on the insect pest trapping and killing mechanism; a supporting mechanism is arranged at the bottom of the telescopic rod, a clamping mechanism is arranged on the telescopic rod, and the clamping mechanism is clamped on a forest tree and used for improving the stability of the device. The system can adapt to different tree heights, trunk diameters and complex woodland terrains, is matched with solar power supply, realizes stable field long-term operation, can accurately identify plant diseases and insect pests, predicts trends through fusion of meteorological and forest basic data, scientific analysis and an ARIMA model, triggers graded early warning and pushes prevention and treatment suggestions, and has good application prospects. Large-scale and refined forest management requirements are met, a scientific basis is provided for disease and pest control decisions, and the accuracy and efficiency of forest management and protection are improved.

The invention discloses an outdoor operation method, system and equipment based on a satellite remote sensing technology, and a medium, and relates to the technical field of outdoor operation. The method comprises the following steps: acquiring multi-source remote sensing data of a target outdoor area through a satellite remote sensing module; generating a disaster situation map through the ground control center according to the multi-source remote sensing data; generating an operation task list through the ground control center according to the disaster situation map; distributing the operation task list to a plurality of robot dogs through the ground control center; and carrying out collaborative operation through the robot dogs according to the operation task list. Therefore, by fusing satellite remote sensing, intelligent analysis and multi-robot-dog cooperative control, integrated emergency response of rapid sensing, scientific analysis, automatic distribution and unmanned operation in a disaster scene is realized, and the intelligence, high efficiency and safety level of outdoor disaster disposal are remarkably improved; the key technical problems of information lag, decision-making dependence on experience, high personnel risk, low response efficiency and the like in traditional rescue are effectively solved.

This invention discloses an intelligent retrofitting system and method for existing earth-rock dams, comprising: a sensing module for collecting monitoring data, calculating a comprehensive monitoring system evaluation index, identifying and optimizing the monitoring system based on the index, and outputting optimized monitoring data and multi-dimensional defect identification results; an analysis module for calculating an analysis model evaluation index, diagnosing and optimizing the analysis model based on the index, and outputting dam safety status assessment results based on the optimized analysis model; a decision-making module for calculating a decision-making efficiency index, diagnosing and optimizing the decision-making process based on the index, and outputting control commands based on the optimized decision-making process; and a control module for calculating a control performance index, diagnosing and optimizing the control configuration based on the index, executing control commands based on the optimized control configuration, and feeding back the execution result data to the sensing module. This invention enables precise monitoring, scientific analysis, intelligent decision-making, and efficient control.

The invention relates to the technical field of industrial equipment monitoring, in particular to a bearing state monitoring sampling optimization method and system based on reinforcement learning, and the method and system are characterized in that multi-dimensional parameters such as equipment operation conditions, real-time vibration signals and bearing key degrees are integrated, and dynamic baseline prediction, health index correction and sampling strategy optimization are adopted. And finally, a self-adaptive monitoring sampling strategy which is highly matched with the real-time health state of the bearing is generated, so that the conversion from uniform monitoring to on-demand monitoring is realized, the overall efficiency and the intelligent level of the monitoring system are remarkably improved on the premise of guaranteeing the equipment safety, and scientific analysis and accurate optimization of the bearing state monitoring sampling strategy are realized.

This invention belongs to the field of biodetection technology, specifically disclosing a novel skin typing method, biomarkers based on skin surface metabolomics typing, and their applications. Based on population-level skin surface metabolite measurement data and through multi-dimensional scientific analysis, this application ultimately discovered that the skin samples of the subjects formed two distinct clusters. This demonstrates that differences in metabolomics clusters based on skin typing objectively exist. Furthermore, the two distinct clusters based on the aforementioned skin surface metabolomics data are named "Metabolic Type 1" or "Metabolic Type 2." Simultaneously, these two typing methods also exhibit differences in various skin condition indicators (e.g., sebum levels, actual age, wrinkles, freckles, etc.). By using the typing method provided in this application to study skin surface metabolomics substances, one or more metabolites can be used as biomarkers to identify the specific skin typing level and guide adjustments to the desired skin condition. This application overcomes the limitations of existing methods that define skin typing solely based on dry, oily, etc., providing more comprehensive guidance for practice.

The invention relates to the technical field of water resource scheduling management, and discloses an intelligent water resource dynamic simulation, regulation and control system and method based on karst hydrogeological investigation, and the method carries out the precise measurement of the total water storage capacity of a non-water-storage space structure in karst geology based on the three-dimensional model information of a karst geology space in combination with geologic structure analysis software. The water storage capacity of the karst geographic area is reliably evaluated according to the geological space characteristics of the karst geographic area, and the karst geological water resource scheduling precision is improved; according to the karst geological space three-dimensional model information, an intelligent search algorithm and different water storage rate standard karst geological space structure three-dimensional model information based on big data storage are combined to carry out karst geology water storage scheduling rate scientific analysis, and the water storage rate of a karst geological area is intelligently matched based on karst geological area space characteristics. Intelligent and environment-friendly karst geology water resource dispatching operation is achieved, and the efficiency and accuracy of karst geology water resource dispatching are improved.

The invention discloses a supply chain finance digital processing system and method, and belongs to the technical field of digital processing, and the system comprises a data collection module, a data processing module, a risk assessment module, a financing matching module, and an execution and monitoring module. According to the method, quantifiable enterprise digital level evaluation indexes are constructed through word frequency statistics and logarithmic processing, and a data basis is provided for subsequent analysis; a fixed effect regression model is adopted, the influence of digital transformation on the financial level of the supply chain is scientifically analyzed, and empirical support is provided for enterprise decision making; dimensional regression analysis is carried out on digital technology dimensions such as artificial intelligence, big data, cloud computing and block chains, specific influences of all technology paths on supply chain finance are identified, and accurate investment of enterprises is assisted. The enterprise credit risk is dynamically evaluated based on real-time data and model output, and conversion from static evaluation to dynamic monitoring is realized.

The invention discloses a method for longitudinally regulating and controlling high-point linear fireflooding of a thick-layer blocky heavy oil reservoir, and belongs to the technical field of oilfield development geology. According to the technical scheme, a fireflood well group is divided into two areas, namely a continuous interlayer area and a non-continuous interlayer area, according to the boundary of the continuous interlayer for blocking gravity drainage and the development condition of the continuous interlayer of a block; according to the gravity oil drainage tracks of different areas, oil well production well sections are optimally configured in a zoning mode; in the continuous interlayer area, the gravity oil drainage high-temperature section is located on L51 + 2, an oil well in the continuous interlayer area is away from an L51 small layer, an L52 small layer is selectively injected, and thermal communication of an L52 oil layer is strengthened; and in the discontinuous interlayer area, the gravity oil drainage high-temperature section gradually descends to the L54 small layer from the L51, and the huff and puff guide effect well section also descends to the L54 small layer from the L51, so that the thermal communication between the high-temperature area and the low-temperature area is enhanced. The method has the beneficial effects that through scientific analysis, accurate division and reasonable configuration, the fireflooding effect, the crude oil recovery rate and the operation safety are remarkably improved, and the method has great significance in promoting efficient development of thick-layer blocky heavy oil reservoirs.

The present application relates to a kind of water-flooded gas well wetting reversal water seal production potential evaluation experimental method, belong to oil and gas field development field;It establishes a kind of scientific analysis method based on wetting reversal for water-flooded gas well water seal effect evaluation, its technical scheme is: obtaining the wellbore pressure gradient distribution data of target gas well under current capacity;Respectively obtain the wetting angle and corresponding wellbore breakthrough pressure gradient distribution data before and after wetting reversal of reservoir core;The above three kinds of distribution data are compared, and the production potential of wetting reversal measure for the water seal of target gas well is evaluated according to the comparison result, the application effect of wetting reversal agent is quickly and intuitively evaluated;The present application has good practical application effect, reliable result, and strong generalizability.

This invention relates to the technical field of meteorological analysis and discloses a method and system for identifying thunderstorm and strong wind areas based on radar-based data. The method intelligently identifies the cloud shape type of thunderstorm and strong wind areas based on spatial model data of cloud layers in thunderstorm and strong wind areas, combined with artificial intelligence algorithms and standard cloud shape data of different thunderstorm and strong wind areas stored in big data, thus achieving scientific analysis of cloud shape types in thunderstorm and strong wind areas. Based on the identified cloud shape information of thunderstorm and strong wind areas, and combined with intelligent search algorithms and standard cloud shape information of different thunderstorm and strong wind areas, the method accurately analyzes the type of thunderstorm and strong winds, thus achieving scientific analysis of the severity of thunderstorm and strong wind hazards based on cloud layer characteristics. Finally, based on the spatial model data of cloud layers in thunderstorm and strong wind areas and combined with a GIS system, the method accurately locates the thunderstorm and strong wind coverage area, thus achieving accurate analysis of the geographical coverage characteristics of thunderstorm and strong wind areas based on cloud layers.

The invention discloses a method for converting a weather radar CINRAD format into an HDF5 format, and the method comprises the steps: firstly analyzing a radar base data file of the CINRAD format, and extracting key parameters, such as an azimuth angle, a reflectivity, a radial speed and the like; through an azimuth interpolation method, irregular azimuth data are standardized into integer angles from 0 degree to 359 degrees, and special situations of crossing 0 degree and 359 degrees are processed. Interpolation is carried out on data with different resolutions, so that the reflectivity and the radial speed are stored and processed under the unified resolution. And storing the processed data according to an HDF5 format. According to the method, through a multi-thread batch processing technology, multiple radar data files can be converted at the same time, and the data processing efficiency is remarkably improved. The method is widely applicable to meteorological radar data processing and scientific analysis, and has the advantage of cross-platform data sharing.

The application provides a content marketing semantic analysis method and system based on natural language processing, relates to the technical field of natural language processing, and comprises the following steps: constructing a marketing intention semantic tree through dependency syntax analysis, calculating audience perception vectors to form a conduction path atlas, identifying argument conflict units and evaluating marketing persuasiveness, constructing a double-layer optimization objective function to perform text reconstruction, realizing scientific analysis and accurate optimization of marketing content, improving the persuasiveness and propagation effect of marketing content, reducing marketing resource consumption, and enhancing the accuracy of marketing strategies.

Method for assessing the seismic risk on existing buildings, comprising the following steps:a) identifying a set (N) of existing buildings to assess;b) acquiring for all existing buildings belonging to said set (N) qualitative data relating to the formal and construction features of said buildings;c) processing said qualitative data with a rapid analysis method based on qualitative criteria to assess the seismic vulnerability, and the related basic seismic risk, of all existing buildings belonging to the set (N);d) selecting in an organized manner a subset(S) comprising 25% to 33% of buildings of the set (N);e) acquiring for all the buildings of the subset(S) a plurality of analytical parameters;f) processing said plurality of analytical parameters with a scientific analysis method based on quantitative criteria to assess the vulnerability and the basic seismic risk of all the buildings of the subset(S);g) selecting in an organized manner a learning sample (A) comprising 70% to 80% of the buildings of the subset(S), and deriving by subtraction a verification sample (V) comprising 20% to 30% of buildings of the subset(S);h) using an AI-based machine learning model entering into an algorithm, for each building included in said learning sample (A), at least a part of said plurality of analytical parameters and the corresponding seismic vulnerability and basic seismic risk results already obtained with the scientific analysis method referred to in step f), to generate a statistical model for predicting seismic vulnerability and basic seismic risk universally applicable to any building in the set (N);i) applying said statistical prediction model to the buildings of the verification sample (V) using as input data the same part of said plurality of analytical parameters used for learning sample (A), and obtaining as output data calculated values of seismic vulnerability and basic seismic risk;l) comparing said values calculated as output from said statistical prediction model referred to in step i) with the corresponding values of seismic vulnerability and basic seismic risk obtained by applying the scientific analysis method referred to in step f), and determining a degree of accuracy, precision and sensitivity APS of the statistical prediction model;m) if said degree of APS has a value greater than a pre-established value, applying the same validated statistical prediction model to the remaining part of the buildings of the set (N) on which the scientific analysis method has not been applied;n) if said degree of APS has a value lower than said pre-established value, increasing the number of existing buildings belonging to the subset(S) and reiterating steps e) to l) until the statistical prediction model is validated.

The invention discloses a industry and financial integrated digital intelligent collaboration method and system in a book publishing industry, relates to the field of book publishing, and solves the problems that a large number of books sold without sale or hot books are printed and issued and the popularity condition of the books is not fully considered when the current book publishing industry is oriented to the books sold without sale or hot books. The method comprises the following steps: acquiring book sales data of a to-be-analyzed book and book printing and issuing data of the to-be-analyzed book; performing data analysis on the profit condition of the to-be-analyzed book to obtain a book total profit of the to-be-analyzed book; acquiring book popularity data of the to-be-analyzed book, analyzing the popularity condition of the to-be-analyzed book, and analyzing whether the to-be-analyzed book is a hot book or not; if the book is a hot book, the continuous printing and issuing condition of the to-be-analyzed book is analyzed, and the continuous printing and issuing amount of the to-be-analyzed book is obtained through analysis, and scientific analysis and accurate analysis of the subsequent printing and issuing amount of the hot book are achieved based on the popularity condition and the earlier-stage income condition.

The invention discloses a general automatic metabolite collecting device for rats and mice, and belongs to the technical field of animal experiments, the general automatic metabolite collecting device comprises a metabolite collecting module comprising a cage and a collecting base arranged at the bottom of the cage, the collecting base is provided with a collecting cavity, and the lower end of the collecting base is provided with a metabolite outlet communicated with the collecting cavity; a first electromagnetic valve is arranged at the metabolite outlet; the cage cleaning module comprises a water storage tank and a cleaning water pipe, the water storage tank is arranged on one side of the cage, the first end of the cleaning water pipe communicates with the water storage tank, and the second end of the cleaning water pipe extends into the collecting cavity of the collecting base; a second electromagnetic valve is arranged on the cleaning water pipe; a conveying part; and the metabolite separation and storage module comprises a metabolite separation part and a metabolite separation and collection bottle. According to the invention, automatic collection and solid-liquid separation can be carried out on metabolites, and the separated solid and liquid metabolites are respectively and properly stored for subsequent scientific research and analysis, so that the time cost for collecting the metabolites is greatly reduced.

The invention relates to the technical field of intelligent power grid management, and discloses an electricity stealing and leakage information acquisition and analysis method and system based on an intelligent gateway, and the system comprises a power grid electric energy loss management module, a power grid electricity stealing and leakage problem analysis module, and a power grid electricity stealing and leakage problem feedback module. According to the method, the daily electric energy loss parameter of the power distribution network branch and the preset routing inspection path parameter of the power distribution network branch are combined with the serial number of the power distribution network branch, so that the routing inspection path of the power distribution network branch with unreasonable daily electric energy loss is intelligently searched and autonomously inspected, and the dynamic intelligent routing inspection operation of the power distribution network branch is realized; the power distribution network branch inspection feature image parameters are combined with the intelligent search algorithm and the power distribution network power stealing and leakage problem feature parameters to accurately identify the power stealing and leakage problem of the power distribution network branch, so that the intelligent analysis of the power stealing and leakage information of the power distribution network branch is realized, and the scientific analysis of the power stealing and leakage problem of a power system is improved.

The invention relates to a time super-resolution reconstruction method and system based on the attention between volume data, and the method comprises the steps: building a time super-resolution reconstruction network based on the attention between volume data, and enabling the network to comprise a generator and a discriminator; inputting the volume data pair of the associated time step for training into a generator, and training the network according to the output of a judger; collecting volume data pairs associated with time steps, inputting the volume data pairs into the trained network, and outputting volume data reconstructed by the generator; the system inputs volume data pairs associated with time steps through an input unit, reconstructs volume data based on a method through a reconstruction unit, and visualizes and outputs the reconstructed volume data through an interface generation unit. According to the method, the intermediate time step data is reconstructed with high precision, the time resolution and continuity of the data are remarkably improved, a more complete and reliable data basis is provided for subsequent scientific analysis and visualization, and the hardware bottleneck of storage and I / O is effectively broken through; and a result which is highly consistent with real data in visual and structural aspects is generated, and the reconstruction quality is excellent.

The application discloses an automatic production unit layout configuration optimization method considering energy consumption, which comprises the following steps: step S1, constructing a target function according to the energy consumption of a carrying robot and the output of a production workshop; step S2, generating an initial layout based on a process path; and step S3, inputting the target function into an NSGA-II algorithm to optimize the initial layout and obtain a final layout. The application proposes a method for evaluating the performance of an automatic production unit through a simulation model for a random production workshop of a customized manufacturing enterprise, effectively solves the joint optimization problem of the layout of each production unit in the workshop and the cruise speed configuration of the carrying robot in the unit, and provides a scientific analysis method and a decision basis for improving the production efficiency and further reducing the energy consumption when the workshop is upgraded or a new factory is built.

The application discloses a kind of urban water and electricity infrastructure failure analysis method, device, equipment and storage medium, it is related to urban water and electricity failure analysis field, comprising: the failure proportion of upstream node is determined, whether it is failure state based on failure proportion, wherein, to be analyzed node is corresponding with urban water and electricity infrastructure;In the case of being not failure state, the water depth of to-be-analyzed node is determined according to water depth variation model;When water depth is greater than water depth threshold value, the target failure probability of to-be-analyzed node is determined based on water depth and target failure probability model;The random value of to-be-analyzed node is generated by Monte Carlo simulation method, and whether to-be-analyzed node is failure state is determined again based on target failure probability and random value;If still not failure state, whether it is failure state is further determined based on random failure probability;Failure analysis result is generated based on the state of to-be-analyzed node, and the scientific analysis of water and electricity infrastructure failure is realized.

The invention relates to the technical field of digital data processing, and particularly discloses a large-scale scientific calculation data intelligent compression and reconstruction method and system.The method comprises the steps that differential compression strategies are generated through multi-dimensional physical feature recognition, and different compression precisions are distributed to a high-value sensitive area and a low-value smooth area; the balance between the high compression rate and the fidelity of the key information is realized; in the reconstruction stage, a physical constraint condition is introduced to carry out differential reconstruction, physical consistency verification and iterative optimization are combined, artifacts are eliminated, and data are ensured to conform to a physical rule; meanwhile, the system comprises a real-time error monitoring and dynamic strategy adjusting mechanism, parameters can be adaptively optimized according to the compression effect, and the robustness of complex scientific data is improved. According to the method, the problems of loss of details of a key region and insufficient compression of a smooth region in a traditional compression technology are effectively solved, and high-quality and high-credibility reconstruction data are provided for scientific analysis and visualization.

The invention relates to a dual-mechanism analysis method and device for an aggregation rate prediction model of nanoparticles. The method comprises the following steps: collecting experimental data related to the aggregation rate of the nanoparticles as an input feature set; wherein each feature in the input feature set is marked with an aggregation rate label; inputting the input feature set into a machine learning model for training and testing to obtain a nanoparticle aggregation rate prediction model; calculating an SHAP absolute value of each feature in the input feature set by adopting an SHAP method, and screening out at least two features from the input feature set according to the SHAP absolute values to serve as a key drive feature set; and two features are selected from the key driving feature set, and visual verification of interaction of the two selected features is carried out. Therefore, the influence of a single feature is considered, the interaction mechanism between the features and the influence of the interaction mechanism can be revealed, and then the black box model can be converted into a transparent and credible scientific analysis tool.

A method of generating computer-readable code executable by a controller of a scientific instrument is provided. The method comprises receiving instructions in a natural language. The method further comprises processing the instructions using at least one large language model to generate computer-readable code executable by the controller of the scientific instrument to control the scientific instrument to obtain data from analysis of a sample; and / or process the data obtained from analysis of the sample by the scientific instrument. The at least one large language model is pretrained using one or more of: analytical chemistry methods using the scientific instrument; material science analytical methods using the scientific instrument; documentation identifying functions for controlling the instrument; camera firmware code; board firmware; methods for starting / stopping measurements; methods for setting data acquisition parameters; and / or methods of reading data.

(1) The article relating to the design of the present application is a storage rack for storing cylindrical sample containers with lids for collecting and storing liquid samples such as scientific analysis samples and blood, and for performing centrifugation and various physical and chemical analytical treatments. The lid of a sample container can be opened and closed from above with a screwdriver while the sample container is stored inside. A screw drive mechanism that can be rotated with a screwdriver is provided on the upper surface of the lid of the sample container. (2) It is a combination of two components: the storage rack body and the storage rack cover that covers the upper surface of the storage rack body. (3) The storage rack body is provided with compartments for storing sample containers, into which the sample containers can be inserted and stored. (4) The compartments of the storage rack body are provided with rotation stoppers to prevent the stored sample containers from rotating in the horizontal plane. (5) The upper wall surface of the storage rack cover is provided with through holes from the front to the back for accessing the lids of the sample containers, and the tip of a screwdriver can access the sample containers below through the through holes. (6) On the back wall of the storage rack cover, there are claws facing downwards that can be fitted onto the lid of the sample container, surrounding the through-hole. When the lid of the sample container is fitted into these claws, its sides are gripped by the claws and suspended, holding it in place. (7) When the sample container is stored in the storage rack body (initial state), and the storage rack cover is placed over it from above, there is a gap between the lid of the sample container and the claws on the back of the sample container, and the claws have not yet gripped it. (8) As opening procedure 1, the tip of a screwdriver is inserted from above through the through-hole of the storage rack cover and fitted into the screw drive part on the upper surface of the lid of the target sample container, and the lid can be detached from the body of the sample container by rotating it. (9) As opening procedure 2, when the screwdriver is pulled upwards while still engaged with the tip of the screwdriver, the lid of the sample container fits into the claws on the back of the storage rack cover, its sides are gripped, and the lid is suspended, holding it in place. (10) As part of the opening procedure 3, when the storage rack cover is detached from the storage rack body, the main body of the sample storage container is in the compartment of the storage rack body with the lid removed and in an open state, allowing access to the inside of the sample storage container.(11) By going back through the steps of opening procedure 1, opening procedure 2, and opening procedure 3 described above, it is possible to return to the closed state in which the sample container is stored in the storage rack body.

The utility model discloses a honey detection device with a sterilization function, and belongs to the technical field of honey detection, the honey detection device comprises a detection shell, the top of the detection shell is provided with a feed port, the feed port is internally and fixedly connected with a feed box, the top of the feed box is provided with an opening, and the bottom of the feed box is communicated with a plurality of circulating pipes; and the inner wall of the detection shell is fixedly connected with two connecting plates. Starting from the principle of ultraviolet disinfection, scientific analysis is carried out, due to the fact that ultraviolet disinfection is pollution-free and high in cost performance, disinfection carried out in the mode is very suitable, and in order to avoid the problems occurring in comparison files, the flow slowing plate with the adjustable angle is arranged, and a plurality of protrusions are arranged on the flow slowing plate, so that the flow slowing plate is convenient to use. The flow slowing plate is arranged on the feeding box, so that honey flowing out of the bottom of the feeding box can be uniformly distributed on the flow slowing plate and slowly descends under the action of gravity, the honey can be ensured to be distributed thinly on the flow slowing plate, and the disinfection effect of the ultraviolet spotlight is fully guaranteed.

1. Name of the product in this design: Graphical User Interface for Scientific Analysis of Child Portraits in Electronic Devices. 2. Purpose of this design: For display and interaction in a science experiment recommendation system based on children's profiles. 3. The key design features of this product are its display and interaction in a science experiment recommendation system based on children's profiles. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: To display the system's use of child profile analysis, by identifying children's age, gender, interests, and existing scientific knowledge background, the interface recommends the most suitable scientific experiment for them. 6. Human-computer interaction method of graphical user interface: The main view starts by entering the login page. After entering the username and password, the interface changes as shown in Figure 1. Clicking "Login" leads to the system homepage (Figure 2). Various menu buttons are located on the far left. Clicking the second button, "Profile Analysis," leads to the profile monitoring (Figure 3). Clicking "Profile Analysis" again displays the profile monitoring (Figure 3). Clicking "Profile Records" below leads to the currently recorded child information (Figure 4). Clicking "Add" leads to the child information (Figure 5). After filling in the details and clicking "Save," the child information can be viewed (Figure 6). Clicking the "Edit" button again leads to the re-editing interface (Figure 7). Returning and clicking "Delete" leads to the child information deletion interface (Figure 8).

The invention relates to the technical field of big data analysis, in particular to a college scientific and technical achievement transformation influence factor multi-dimensional intelligent analysis method and a college scientific and technical achievement transformation influence factor multi-dimensional intelligent analysis system. The method comprises the following steps: obtaining an initial load matrix, setting a priori knowledge matrix to dynamically adjust the initial load matrix, accurately identifying a standardized path coefficient in combination with a preset model, further decomposing and calculating direct effect, indirect effect and total effect contribution degree of each factor, and meanwhile, calculating the direct effect, indirect effect and total effect contribution degree of each factor through the factor load matrix and the standardized path coefficient in combination with the preset model. And analyzing the time change trend of the importance of the influence factors, and finally realizing multi-dimensional scientific analysis of the influence factors of scientific and technological achievement transformation of colleges and universities.

This invention provides a method and system for monitoring the unloading of temporary supports for large-span arched steel structures. The method includes: constructing a three-dimensional simulation model of the arched steel structure using initial monitoring data to simulate and analyze the entire unloading process, obtaining unloading grading parameters and safety warning indicators; performing graded unloading operations according to the graded unloading parameters; conducting multi-parameter coupling analysis on the real-time monitoring dataset to obtain coupling analysis parameters; and comparing the coupling analysis parameters with the safety warning indicators in real time. If the coupling analysis parameters exceed the range of the safety warning indicators, an early warning is issued. This invention achieves accurate monitoring, scientific analysis, and dynamic control of the entire unloading process of temporary supports by constructing a multi-parameter, all-round monitoring network, designing a complex unweighted coupling algorithm, and combining finite element simulation verification with a closed-loop control system. This ensures the technical solution has real engineering application value and provides a safe, reliable, and efficient technical method for the unloading construction of temporary supports for large-span arched steel structures.

The invention provides a fuel tank hydrogen production data acquisition and analysis device, which adopts a hardware-software-algorithm collaborative architecture to realize hydrogen production whole-process intelligent monitoring and optimization decision making, and comprises a high-precision data acquisition hardware module, an intelligent analysis strategy module and a closed-loop control system, by virtue of the remarkable advantages of accurate data acquisition, scientific analysis strategy, comprehensive software functions and the like, the device promotes intelligent development and application innovation of a fuel tank hydrogen production technology while ensuring safe and efficient operation of a hydrogen production process, and has important significance in promoting technical progress of the hydrogen energy industry.