10results about How to "Objective reflection" patented technology

The invention discloses a drainage basin seasonal runoff change prediction and attribution method and system and a medium, and the method comprises the steps: carrying out the seasonal division of a hydrological year based on the monthly scale rainfall, potential evapotranspiration and land water reserve change rules in a drainage basin; establishing a plurality of coupling models of the GCM and the ABCD so as to predict the runoff process of the drainage basin under the conditions that only future climate change scenes are considered and climate change and human activity influence scenes are considered at the same time; a seasonal-scale Buddyko model is considered, and the relative influence of seasonal-scale climate change and human activities on future runoff change is quantified. The method has a strong statistical basis, can objectively reflect the change rule of the watershed hydrologic runoff, can fully decouple the complex relationship between climate change and human activity and other factors on a seasonal time scale, and provides a new technology for the research of a water circulation process driving mechanism in a changing environment.

The embodiment of the invention provides a pegmatite type lithium ore prediction method and device based on deep learning, and the method comprises the steps: obtaining a plurality of different types of data of a to-be-collected region, converting the space coordinates of various types of data into a same space coordinate system, and generating a geoscience space database; rasterizing various types of data in the geoscience spatial database to generate a prediction element graph, a mask graph and a prediction label graph; generating a training data set and a verification data set based on the prediction element graph, the mask graph and the prediction label graph of the target area; adopting the training data set and the verification data set to train a preset full convolutional neural network to generate a prediction model; and based on the prediction model, finding out the distribution condition of the pegmatite type lithium ores in the selected to-be-collected area. By adopting the technical scheme, a batch of lithium-containing pegmatite veins with a certain form, scale and spatial distribution can be quickly and effectively identified.

The application relates to the technical field of oral cavity equipment, and discloses a dental plaque quantitative analysis system, a method and a storage medium. The system comprises a dental plaque observation instrument and an upper computer. The dental plaque observation instrument is used for collecting a two-dimensional fluorescence image of teeth in an oral cavity area of a to-be-measured object. The upper computer is in communication connection with the dental plaque observation instrument. The upper computer is configured to: receive the two-dimensional fluorescence image of teeth sent by the dental plaque observation instrument; perform image segmentation and image depth estimation based on the two-dimensional fluorescence image of teeth, perform three-dimensional reconstruction, and obtain a three-dimensional tooth model containing a plaque area and a tooth area; then calculate the surface area of the plaque area and the surface area of the tooth area respectively, obtain an area ratio of the surface area of the plaque area to the surface area of the tooth area, and take the area ratio as a quantitative analysis result of dental plaque. The application can accurately calculate the area of the plaque area and realize high-precision quantitative detection of dental plaque.

The application provides a gas flow monitoring method and device, electronic equipment and a storage medium. The method comprises recording adjacent first and second change moments; determining a periodic gas flow corresponding to the second change moment according to the first change moment, the second change moment and a preset volume; determining the number of periodic gas flows used in calculating the indicated gas flow according to the periodic gas flow corresponding to the second change moment and a preset number of periodic gas flows used in calculating the indicated gas flow range; the greater the periodic gas flow, the greater the number of periodic gas flows used in calculating the indicated gas flow; obtaining periodic gas flows corresponding to N-1 change moments before the second change moment, and determining the indicated gas flow corresponding to the second change moment according to the periodic gas flows corresponding to the N-1 change moments and the periodic gas flow corresponding to the second change moment. The method can improve the gas flow monitoring effect.

The present application relates to the technical field of urban building risk assessment, and specifically to a method for assessing the risk of damage to glass curtain walls of urban buildings. The present application firstly considers the influence of wind direction in simulating wind disasters in urban buildings, which can more objectively reflect the risk of regional wind disasters; then, when simulating flying objects, the three-dimensional characteristics of the urban space wind field are fully considered to ensure the accuracy of the glass curtain wall impact scenario; then, by constructing a database of building glass curtain wall collision scenarios, the risk of glass curtain wall damage is analyzed. That is, the present application realizes the accurate prediction and real-time assessment of the risk of damage to glass curtain walls in target urban building complexes through means such as refined data collection, three-dimensional model construction, physical process simulation, and probability analysis, providing strong support for the prevention and control of urban wind-induced disasters.

The application discloses an infrared in-situ transmission sample assembly and an infrared transmission detection system. The infrared in-situ transmission sample assembly comprises a temperature-controllable heating tube, a metal tube sleeve and a sample support. The temperature-controllable heating tube comprises a tube main body. The metal tube sleeve comprises a main tube sleeve which is inserted into the tube main body and is electrically connected with a temperature controller. The sample support comprises a support main body which is inserted into the main tube sleeve and has a tubular structure with open ends. A groove is formed in one end of the support main body along the side surface, and the groove is used for inserting a sample to be measured so that the sample to be measured is in the pipeline of the support main body. The sample assembly can directly place the sample without loading or clamping other window materials, can avoid the breakage of the sample, is beneficial to the evaporation of a small amount of water vapor in the heating process, and thus can avoid the interference of water vapor in the measurement process. The application provides a more accurate and reliable sample accessory for the measurement and analysis of the infrared transmission spectrum.

The embodiment of the present disclosure discloses a method for generating a house layout structure diagram, which comprises the following steps: obtaining first point cloud data information of a target house and trajectory information of a collecting device of the first point cloud data, wherein the first point cloud data information is original point cloud data information of the target house; determining a house layout structure diagram of the target house according to the first point cloud data information and the trajectory information; and outputting the house layout structure diagram of the target house. Thus, the structure data of the target house is obtained through the point cloud data, the house layout structure diagram is automatically drawn, and the accuracy of house measurement is improved.

The application relates to the technical field of pattern recognition, in particular to a cardiovascular physiological signal feature extraction method applying a pattern recognition algorithm, which comprises the following steps: collecting original signals through a sensor array and converting the original signals into digital signal streams; synchronously filtering out baseline drift and electromagnetic interference by applying a composite filtering algorithm; determining a key frequency interval by using a discrete orthogonal transform algorithm for multi-scale pattern deconstruction; accurately positioning ECG and pulse wave feature key points by applying a pattern recognition model based on a deep residual network, and marking coordinate sequences; and calculating a multi-dimensional feature vector including a nonlinear dynamics index according to key point attributes. The application improves extraction precision in a complex environment, enhances the generalization ability for different individuals and pathological states, realizes deep quantification of physiological features, and is suitable for mobile monitoring and clinical real-time monitoring.

The embodiment of the invention discloses a method for generating a house type structure chart, and the method comprises the steps: obtaining the first point cloud data information of a target house and the track information of a collection device of the first point cloud data, and enabling the first point cloud data information to be the original point cloud data information of the target house; determining a house type structure diagram of the target house according to the first point cloud data information and the track information; and outputting the house type structure diagram of the target house, thereby obtaining the structure data of the target house through the point cloud data, achieving the automatic drawing of the house type structure diagram, and improving the precision of house measurement.

The invention relates to the field of remote sensing satellite management and control, in particular to a hot spot area prediction method based on historical observation task data, and the method comprises the steps: obtaining the combustion position and combustion time of a historical combustion point observed by a remote sensing satellite in a target area; dividing the target area into a plurality of grids to be detected, and determining the number of combustion points in each grid to be detected according to the combustion position; determining the grid type of the to-be-detected grid according to the number of the combustion points; determining a combustion condition; and selecting a prediction strategy for the hot spot area of the remote sensing satellite based on a determination result. According to the method, the observed hot spot area is predicted by performing fine grid division and multi-dimensional analysis on the target area, the accuracy and pertinence of remote sensing satellite hot spot area prediction are remarkably improved, satellite resource configuration is optimized, and the observation efficiency is improved.