14 results about "Vitality index" patented technology

The invention aims to provide a model and a method for identifying the cold resistance of alfalfa in the bud stage, the identification model relates to the relationship between four cold-resistant indexes and cold-resistant grade (Y) of alfalfa at 6 + / -0.1 DEG C, the four cold-resistant indexes are alfalfa germination rate (X1), alfalfa simplified vigor index (X2), alfalfa root length (X3) and alfalfa germination index (X4), and the relational expression is Y =-2.771 + 0.016 X1 + 0.061 X2 + 0.900 X3 + 0.054 X4, when Y is more than or equal to 0.70 and less than or equal to 1.00, the alfalfa variety is a strong cold-resistant variety; when Y is more than 0.40 and less than 0.70, the alfalfa variety is a medium cold-resistant variety; when Y is more than or equal to 0.00 and less than or equal to 0.40, the alfalfa variety is a non-cold-resistant variety. Experiments prove that the model has the characteristics of high accuracy, rapidness and high efficiency when being used for identifying alfalfa cold-resistant germplasm resources.

This application provides a non-contact health monitoring device, method, equipment, and medium, belonging to the field of health monitoring technology. It collects Wi-Fi amplitude data and calculates Shannon entropy to form an instantaneous vitality index sequence. The instantaneous vitality index sequence is processed through a sliding time window to determine behavioral feature vectors and activity intensity indices. Normal behavior boundaries are defined using behavioral feature vectors from historical normal periods, and a baseline lower limit for activity intensity is determined based on the activity intensity indices from historical normal periods. If the behavioral feature vector of the current window is outside the normal behavior boundary, or the activity intensity index of the current window is lower than the baseline lower limit, it is determined to be an abnormal window. When both conditions are met simultaneously, it is determined to be a high-risk rhythmic abnormality window. This allows for graded early warning monitoring of the activities of elderly people living alone. Using the scheme of this application, it is possible to effectively identify environmental steady-state channel jitter and transient channel disturbances caused by human behavior.

The invention discloses a soybean activity detection method fusing UVE feature selection and sparse Gaussian process regression, and relates to the technical field of agricultural product quality detection. The method comprises the following steps: performing grouping gradient aging treatment on fresh soybean seeds, and obtaining three types of vigor data including germination potential, germination rate and germination index through a paper germination test; then, collecting a near infrared spectrum of a sample, and carrying out Savitzky-Golay and SNV pretreatment on the near infrared spectrum of the sample; determining a variable stability threshold value of each vitality index based on an improved PLSR model, and screening a data set through UVE; dividing a data set, training an SGPR model through a Matern32 kernel function, a K-means clustering optimization induction point and a maximized edge likelihood function, and carrying out verification set optimization and test set verification; after a sample to be detected is subjected to spectrum processing and feature screening, three types of vitality index predicted values are output through the exclusive SGPR model. According to the invention, nondestructive and high-precision detection of soybean activity is realized, and the problems of high time consumption and strong destructiveness of the existing method are solved.

The present application belongs to the technical field of space boundary demarcation, and discloses a scenic spot vitality boundary demarcation method based on a circle layer potential field expansion algorithm, which specifically comprises the following steps: based on the two dimensions of human interaction and environmental carrying capacity, a spatial vitality index system of the scenic spot is constructed; multi-source heterogeneous data related to the spatial vitality index system in the scenic spot are collected and preprocessed to construct a vitality information database of the scenic spot; the vitality information database is used to quantize and comprehensively evaluate the vitality indexes in each grid unit to generate a spatial vitality grid map reflecting the vitality level of the scenic spot; the vitality values in the spatial vitality grid map are classified, the vitality contour lines are extracted, and multi-level vitality circle layers are divided; the problems of strong subjectivity, insufficient accuracy and poor dynamic adaptability of the existing vitality boundary demarcation method are solved.

The invention relates to the technical field of urban planning and smart cities, and particularly discloses a small-scale public space digital multi-dimensional vitality assessment technical method. According to the method, an automatic evaluation system based on computer vision and data fusion is constructed, a 3M-VA model is adopted, and public space vitality is quantified from three dimensions of aggregation, stability and complexity. The system comprises a data acquisition module, a processing and algorithm module and a statistical analysis module, behavior characteristics such as the number of pedestrians, trajectory length and residence time are automatically extracted through target detection, multi-target tracking and trajectory analysis algorithms, and multi-dimensional vitality indexes are integrally calculated; meanwhile, a statistical association model of environment variables and vitality dimensions is established by processing form, vision, facility and other multi-source environment data. The method overcomes the defects that a traditional method is high in subjectivity, single in dimension and insufficient in precision, efficient, objective and refined vitality evaluation is achieved, and a scientific basis and operable decision support can be provided for public space optimization design.

The invention discloses a regional economic vitality monitoring and evaluation method and system based on big data, and the method comprises the steps: collecting multi-source heterogeneous data which comprises satellite luminous remote sensing data, map API data, social media data and desensitization financial transaction flow data; performing space-time alignment on the multi-source heterogeneous data according to a preset geographic grid unit and time granularity to generate a regional space-time feature tensor; inputting the regional spatial-temporal feature tensor into a TS-SAN double-flow attention network model, and outputting a regional economic vitality index (EVI) and an industry index; and based on the regional economic vitality index EVI and the industry index, generating an economic vitality attribution thermodynamic diagram, and marking a key driving region and a dominant data source. The problem that the accuracy and efficiency of regional economic vitality monitoring and evaluation are insufficient in a traditional scheme is solved.

This invention relates to a method and system for integrated edge-end urban vitality heat analysis using a video network. The method includes: acquiring video stream data and environmental parameters within a target area; detecting target objects in the video stream data using the YOLOv8s-Mobile architecture; and cleaning the environmental parameters. The video stream data and environmental parameters are then encrypted and transmitted to a cloud center. Deep analysis of the video stream data is performed at the cloud center to extract spatiotemporal features, and motion information of target objects is mined based on these features using deep learning algorithms. The environmental parameters, video stream data, and motion information of target objects are fused to obtain fused multi-source data, and a vitality heat model is used to calculate the vitality index within the target area. A heat distribution based on the vitality index is constructed using a multi-dimensional correlation graph, and this heat distribution is sent to the front-end display layer to showcase the heat distribution of the target area.

The invention discloses a conductivity-paper roll method-based method for rapidly identifying the vigor of plum-leaf crab seeds, and relates to the technical field of plant cultivation, and the method comprises the following steps: carrying out seed sampling, cleaning and moisture content balance treatment; measuring the conductivity of the seed leachate and judging the integrity of a cell membrane; culturing germination by adopting a wet paper roll method, and calculating a comprehensive vitality index; and comprehensively judging a batch release result according to a threshold value and a rechecking mechanism. According to the method, the cell membrane permeability is represented through the conductivity, the germination potential is reflected through the germination rate, a quantitative threshold value is established by combining double indexes, rapid grading of the seed vigor is achieved, compared with a traditional germination method, the detection period is shortened from 28 days to 14 days or less, operation is easy and convenient, chemical dyes are not needed, the result is traceable, repeatability is high, and the method is suitable for large-scale popularization and application. The method can be widely applied to activity detection, batch release and quality control of the plum-leaf crab and other fruit tree seeds.

The invention discloses a raft culture-based marine product typhoon disaster risk assessment method and a storage medium, and the method comprises the steps: assimilating multi-source actual measurement data to an environment model through a data assimilation algorithm, and simulating an environment field of a target culture sea area according to the assimilated and corrected environment model; applying the environmental load corresponding to the environmental field to a structure model of the raft culture structure for dynamic response analysis, and calculating a structural strength index according to an analysis result; calculating a vitality index of the marine product according to a preset environment factor; and according to the structural strength index, the vitality index of the marine product and the disaster-inducing factor, determining the risk level of the valve type culture structure through a random forest model. According to the invention, comprehensive and objective risk assessment can be realized, and the assessment accuracy can be improved.

The invention provides an economic vitality evaluation method and system based on electric power big data, and the method comprises the steps: obtaining first data, the first data comprises the electricity consumption of each industry in a target region in N years, and N is a positive integer greater than 4; calculating features of each industry according to the first data, and performing clustering analysis on the industries on the basis of a K-means clustering algorithm and the features of each industry to obtain a plurality of clusters; for each clustering cluster, calculating the comprehensive electricity consumption of each month of the clustering cluster, and determining the weight of each clustering cluster by adopting a combined weighting method; and based on the comprehensive electricity consumption and the weight of each month of each cluster, calculating the economic vitality index of each month of the target area, and forming an economic vitality index time sequence. According to the method, the multi-level economic vitality index is constructed through intelligent clustering, fusion weighting and noise reduction processing, and reliable quantitative support is provided for economic decision making.

The invention discloses an urban vitality measurement method and system based on multi-scale data, and belongs to the technical field of urban planning and geographic information systems. The method comprises the steps of collecting multi-source data information in a research area, wherein the multi-source data information comprises remote sensing data, space-time positioning data and statistical data; constructing an analysis framework of three scales of villages and towns, communities and grids; establishing an urban vitality characterization index system based on three dimensions of population, economy and function, and respectively calculating a population index, an economic index and a function index; carrying out dimensionless processing and comprehensive evaluation on multiple indexes by adopting a spatial distance model, and measuring the urban vitality index; and identifying spatial aggregation characteristics and distribution modes of urban vitality through a spatial autocorrelation analysis method. The method can objectively quantify the spatial distribution characteristics of the urban vitality, provides a scientific basis for urban planning and updating decision making, and has the advantages of high precision, strong applicability and good operability.

The invention provides an industrial park crowd vitality measurement method based on mobile phone position data, and the method comprises the steps: collecting the mobile phone position data, carrying out the recognition of staying behaviors based on the mobile phone position data, carrying out the extraction of employment crowds and residence positions of the industrial park, and measuring the vitality of the crowds in the industrial park from the dimensions of time, space and job-residence commuting. Constructing an industrial park crowd vitality index system, and calculating an industrial park crowd vitality index in combination with an entropy evaluation method; comprising the following steps; the method comprises the following steps: 1, acquiring mobile phone position data; 2, preprocessing the position data of the mobile phone; 3, user staying behavior identification, and industrial park employment population and home position extraction; step 4, constructing an industrial park crowd vitality index system; 5, calculating the crowd vitality index of the industrial park; according to the method, the crowd vitality of the industrial park can be measured from the dimensions of time, space and job-housing commuting, so that quantitative data support from a new angle is provided for decisions such as fine management, resource allocation and emergency management of the industrial park.

The invention relates to the technical field of seed vigor detection, and discloses a rice single seed vigor index evaluation calculation method and system. According to the method, multi-dimensional information of the weight gain ratio representing substance absorption, the root length representing root development, the root number and the bud length representing germ growth is fused into one index, the physiological status and development potential of the seeds can be reflected more comprehensively, and a single seed vigor index calculation model is further constructed. Accurate quantification of vigor of a single seed is realized, and seed individuals with similar appearances but different internal vigor can be effectively distinguished. Elastic network regression is adopted in the process of constructing a single seed vital index calculation model, the defect that coefficients are unstable when traditional multiple linear regression faces strong correlation phenotypic data is effectively overcome, and the established model has higher reliability and generalization ability.

The application discloses a device and method for determining rice stigma vitality based on micro-gas quantification. The device comprises a reaction tube with a conical bottom and a micro-injection port with an embedded self-healing silica gel pad; an elastic sealing plug sealingly embedded in the open end of the reaction tube to form a closed reaction chamber; a capillary tube vertically penetrating the sealing plug and provided with volume scale lines; and a colored indicator liquid drop preloaded in the capillary tube. The determination method is as follows: placing the stigma to be measured on the conical bottom of the reaction tube, sealing and adjusting to zero, injecting hydrogen peroxide solution through the micro-injection port, recording the volume scale difference of the indicator liquid drop rising due to gas production caused by enzymatic reaction within a predetermined time period, and then calculating the stigma vitality index. The application replaces the traditional subjective observation by microscope with objective physical volume displacement in the closed capillary tube, gets rid of the dependence on large instruments, and realizes the field in-situ, rapid and accurate quantitative determination of rice stigma vitality.