52results about How to "Achieve precise quantitation" patented technology

The invention discloses a tunnel grouting diffusion form prediction system and method. The system comprises a tunnel simulation device used for preparing a tunnel model with cracks to simulate a tunnel rock mass; the grouting simulation system is used for conducting grouting on the tunnel simulation device by adjusting grout diffusion influence factors, and the grout diffusion state under the influence of multiple factors is obtained. The grouting diffusion form quantification system is used for cutting the grouted tunnel simulation device to obtain a plurality of slices at depth positions, and performing grid division on the surface of the slice at each depth position to obtain a grout diffusion form quantification data set; and the grouting diffusion form prediction system is used for constructing a multi-modal space-time fusion depth prediction model and inputting the grout diffusion form quantitative data set into the multi-modal space-time fusion depth prediction model to predict the diffusion form of the future grout. According to the method, the prediction model is established, and the grout diffusion form quantitative data set is used as the space-time sequence data set, so that the space-time prediction of the grouting diffusion form is realized.

The invention provides a water source detection method and system based on an unmanned aerial vehicle, electronic equipment and a storage medium, and relates to the field of water source detection. The method comprises the following steps: collecting multi-source heterogeneous data; the method comprises the following steps: preprocessing multi-source heterogeneous data to obtain multi-scale feature data, and establishing a multi-dimensional hydrogeological feature space; and inputting the multi-dimensional hydrogeological feature space into a preset deep belief network, and generating a probabilistic distribution diagram of the hydrogeological elements in the detection area. And updating preset hydrogeological conceptual model parameters based on the hydrogeological element probability distribution map, inputting the multi-source heterogeneous data into the corrected hydrogeological conceptual model, outputting spatial and temporal distribution characteristic data, and generating a water source potential partition map through multi-criterion evaluation. And determining a high potential area according to the water source potential partition map, performing encryption detection on the high potential area to obtain encryption detection data, and determining an optimal water source point position coordinate based on the encryption detection data. According to the technical scheme, the accuracy of water source detection based on the unmanned aerial vehicle is improved.

The invention discloses a field monitoring method for forestry management, which relates to the field monitoring technology field of forestry management, and is characterized in that a monitoring acquisition and image processing module and an auxiliary module are used in cooperation to acquire, identify and transmit image communication of trees and areas in a forestry monitoring area, and a data calculation processing module is used to calculate and process data. The monitoring area coverage rate FM, the number ML of trees in the monitoring area and the fire risk index FX are calculated and output, intervention adjustment of measures and methods is carried out on the basis of the change trend of the recent fire risk index FX, and the data calculating and processing module comprises a monitoring coverage area effect measuring unit. According to the forestry area fire risk monitoring system, the area coverage rate of the monitoring area is accurately calculated, the number of trees is estimated in real time, the fire risk is scientifically evaluated, the monitoring strategy is optimized, and then modernization and intelligentization of forestry management are promoted.

The invention provides a large 3D scene texture dynamic loading and unloading method, medium and system, and belongs to the technical field of 3D scene loading.The large 3D scene texture dynamic loading and unloading method, medium and system comprise the steps that three-dimensional scene parameters are collected, texture frequency parameters are decomposed to obtain basic and fluctuation components, a texture loading model is constructed, and a coefficient matrix is generated; packaging the texture file into a fixed-size block, building a double-layer resource optimization model based on a coefficient matrix, setting global and local optimization targets, and calculating a comprehensive contribution coefficient; an initial resource allocation scheme is obtained through an evolutionary algorithm, and a final scheduling scheme is obtained through dynamic programming; according to the texture blocks, loading the texture blocks, determining a recovery strategy in combination with life cycle, grouping association and state transition prediction, and executing resource recovery; the process comprises texture analysis, model construction, resource optimization, scheduling and recovery, and efficient management of three-dimensional scene textures is realized; the resource scheduling decision-making mechanism can be optimized, and the user experience is improved.

The invention provides a method and system for quantifying the influence degree of construction uncertainty on construction carbon emission, and belongs to the field of carbon emission calculation. The problem that existing construction carbon emission is static estimation based on construction organization design and construction drawings, and data deviation caused by uncertainty influence in the construction process is not considered is solved. Construction theoretical consumption data and construction actual consumption data are collected and subjected to data statistics according to resource consumption types or structural parts, then the difference value of the two data is obtained and multiplied by a corresponding carbon emission factor, then quantification of the influence degree of the construction uncertainty is completed, difference analysis is conducted on the quantified data, and the influence degree of the construction uncertainty is calculated. Early warning prompting is carried out according to the strength, proportion overrun and abnormal fluctuation problems of the influence of the construction uncertainty, various construction projects are helped to rapidly and quantitatively analyze the influence of the construction uncertainty on construction carbon emission, and then management guidance and decision basis are provided for construction management and low-carbon construction.

The invention relates to the technical field of data processing, and discloses an AHP-based student development evaluation method and system. The method comprises the steps of performing feature root decomposition, consistency check and hierarchical transitivity analysis on an analytic hierarchy matrix, and performing normalization processing and stability optimization on a weight vector to obtain a hierarchical weight coefficient; performing hierarchical comprehensive calculation, criterion synthesis and multi-level evaluation mapping on the basis of the hierarchical weight coefficient, and combining fuzzy membership analysis and evaluation calibration to obtain a comprehensive evaluation result; and aiming at the comprehensive evaluation result, constructing a multi-criterion decision model and a development path map, and carrying out scheme synthesis and multi-objective optimization analysis to obtain personalized suggestions. According to the method and the device, dynamic optimization and adaptive adjustment of the multi-dimensional evaluation indexes are realized, and personalized development suggestions are generated through a data driving mode, so that scientificity and pertinence of student development evaluation are improved.

The invention discloses a primer and probe combination for detecting a bulbus fritillariae cirrhosae medicinal material based on Taqman fluorescent probe double-marking linear correction quantitative PCR (Polymerase Chain Reaction). The invention further discloses a method for detecting the bulbus fritillariae cirrhosae medicinal material based on Taqman fluorescent probe double-marking linear correction quantitative PCR, the bulbus fritillariae cirrhosae specific primers and probes designed based on six bulbus fritillariae cirrhosae-based original plant conserved gene sequences and the 18sRNA universal reference gene primers and probes are adopted, a sample to be tested and a standard reference substance are amplified at the same time in a PCR reaction system, and the specific primers and probes are used for detecting the specific genes of the bulbus fritillariae cirrhosae medicinal material based on Taqman fluorescent probe double-marking linear correction quantitative PCR. The method comprises the following steps: qualitatively confirming that a test sample contains the bulbus fritillariae cirrhosae component according to amplification results of a bulbus fritillariae cirrhosae specific primer and a probe, then taking a standard reference substance as a template to obtain two standard curves of a bulbus fritillariae cirrhosae specific gene and a 18sRNA gene, and finally quantitatively analyzing the bulbus fritillariae cirrhosae content in the test sample by adopting a double-marking linear correction method. The method can be used for efficiently, specifically and accurately detecting the ingredients and content of the bulbus fritillariae cirrhosae through PCR.

The invention discloses a driving all-in-one machine and an output shaft multi-turn absolute position detection method thereof, and realizes accurate quantization of a multi-stage coding system state by obtaining a detection value of each stage of coding shaft and decomposing the detection value into a turn value and an in-turn remainder value based on a transmission ratio. A mapping relation from an upper first-level coding axis to a lower first-level coding axis is established according to the transmission ratio, and a mapping value is obtained after dimensions are unified, so that a comparable basis of upper-level coding data and lower-level coding data is established. By obtaining the difference value between the mapping value and the corresponding inner remainder value of the lower first-level coding shaft ring and comparing the difference value with the half-ring threshold value, the phenomenon of zero crossing point asynchronization caused by the gear clearance can be accurately identified. Dynamic compensation is carried out on the number of turns of the next first-level coding shaft based on a difference value comparison result, and reading deviation caused by the mechanical back clearance is effectively corrected. Finally, the multi-turn absolute position of the output shaft is synthesized based on the compensated number of turns of the coding shafts, so that the continuity and accuracy of position calculation are ensured, and position calculation errors caused by gear gaps are avoided.

The present invention provides a microfluidic chip for accurate quantification of reagents, belonging to the field of microfluidic technology, comprising: an upstream cavity; a quantitative cavity, the quantitative cavity is located on a side away from the rotation center compared to the upstream cavity, the upstream cavity is directly or indirectly connected to the entrance of the quantitative cavity, and the quantitative cavity also has an overflow channel; a quantitative auxiliary protrusion, the quantitative auxiliary protrusion is located on the inner wall of the quantitative cavity close to the rotation center, the quantitative auxiliary protrusion is located between the overflow channel and the entrance of the quantitative cavity; there is a gap between the upper surface and / or lower surface of the quantitative auxiliary protrusion and the inner wall of the quantitative cavity, and when the liquid is filled, the liquid enters the gap. The present invention uses centrifugal force as a driving force, and designs a "concave" type special structure quantitative cavity with a quantitative auxiliary protrusion on a centrifugal microfluidic chip, and breaks the liquid-gas interfacial tension at low speed, thereby ensuring the accuracy of quantitative diversion at low speed.

The present invention relates to the technical field of health monitoring and intelligent assessment, and in particular to a sitting posture assessment method and system. Firstly, stress wave data, tactile data and thermal imaging data of a user's sitting posture are collected and preprocessed; then, multi-level recursive correction is performed on the preprocessed data based on the user's physiological characteristics to generate final correction data; then, basic features, topological features and their associated features are extracted through multi-stage fusion and dynamic cross-validation, associated feature data are generated, and a health score is performed on the data using a multi-dimensional dynamic scoring mechanism; finally, the health assessment process is optimized through causal chain analysis, and personalized feedback is generated to help the user adjust his sitting posture; the present invention effectively solves the problems of insufficient assessment accuracy and quantification difficulty in the prior art, and provides a more comprehensive and accurate health monitoring method.

The invention discloses an in vitro detection method for CMT3 protein activity based on accurate quantification of SAM and SAH, which belongs to the field of biotechnology, and the steps are: synthesizing a double-stranded DNA fragment substrate rich in CHG sequence and a histone peptide according to the characteristics of protein activity; constructing an in vitro methyl transfer reaction system; incubating the reaction system at 37°C to perform an in vitro experiment of CMT3 methyl transfer activity; using ultra-high performance liquid chromatography and triple quadrupole tandem time-of-flight mass spectrometry in positive ion multiple reaction monitoring mode to accurately quantify SAM and S-adenosylhomocysteine ​​in the reaction system, and comparing and accurately calculating with a control group containing only TA substrate to show the methyl transfer activity of CMT3 protein. The invention provides a non-radioactive, simple and fast experimental means, which provides a new idea for a rapid and accurate quantitative method of a series of methyltransferase activities that depend on SAM methyl donors such as CMT3 protein.

This invention discloses an equivalent modeling method and system for power collection networks in new energy power plants. The method includes: acquiring the power plant topology, equipment parameters, and operating data; determining the equivalent impedance of each generator unit to the grid connection point; calculating the amplitude and phase of the generator terminal voltage level by level along the feeder from the grid connection point to obtain the voltage phasor considering the transverse component of the line voltage drop; calculating the effective contribution complex coefficient based on the apparent power and voltage phasor; grouping the generator units based on electrical distance and voltage phase angle; and using the conjugate complex number of the effective contribution complex coefficient to perform weighted correction on the equivalent impedance to obtain the equivalent impedance and equivalent transformer parameters for each group, thus constructing an equivalent model. This invention introduces voltage phase distribution into equivalent modeling, significantly improving the accuracy of the equivalent model, and is suitable for electromechanical or electromagnetic transient simulation of wind farms and photovoltaic power plants.

The invention discloses a carbon emission refined accounting method for a high-energy-consumption enterprise, and belongs to the technical field of energy conservation and carbon reduction in the high-energy-consumption industry. According to the method, the condition of fugitive emission of smoke in the production process of a high-energy-consumption enterprise is fully considered, and accurate quantification of fugitive carbon emission generated by fuel combustion and fugitive carbon emission generated by using a carbon-containing raw material is realized by adopting an actual measurement method and an emission factor method respectively; and meanwhile, the actual measurement method and the emission factor method are combined to check the emission through the exhaust funnel and the indirect carbon emission, so that the problems of low data accuracy, poor adaptability and the like when the actual measurement method is used for carrying out carbon emission check on high-energy-consumption enterprises are solved, the accuracy of carbon emission check data is effectively improved, and the economic benefit is improved. According to the invention, refined accounting of carbon emission of the high-energy-consumption enterprise and accurate quantification of carbon emission are realized, accurate carbon emission data are provided for the high-energy-consumption enterprise to implement carbon emission management and participate in carbon market transaction, and guidance is provided for the high-energy-consumption enterprise to carry out energy-saving and carbon-reducing work.

The embodiment of the invention provides a method and a device for measuring parameters of a high-enthalpy unbalanced flow field of an atomic oxygen and atomic nitrogen absorption spectrum, and the method comprises the steps: generating a high-enthalpy flow field at an outlet of a high-enthalpy wind tunnel nozzle, a laser absorption spectrum measurement system arranged in a high-enthalpy wind tunnel experiment section is used for carrying out synchronous measurement on the same to-be-measured flow field area of a high-enthalpy flow field, and the Gaussian half width and the integral absorption rate of an atomic nitrogen characteristic spectral line and the Gaussian half width and the integral absorption rate of an atomic oxygen characteristic spectral line are obtained; the effective absorption optical path of the laser penetrating through the high-enthalpy flow field and the pressure of the high-enthalpy flow field are obtained at the same time; setting an initial iteration value of the electron population temperature of the flow field, and based on the initial iteration value, adopting the constructed iteration algorithm to carry out iteration calculation until the temperature parameter converges to obtain a final electron population temperature; and according to the Gaussian half-width of the atomic nitrogen characteristic spectral line and the Gaussian half-width of the atomic oxygen characteristic spectral line, respectively obtaining the translational temperatures of the atomic nitrogen and the atomic oxygen.

The application discloses a method for measuring easily decomposed substances in an organic electrolyte, which comprises the following steps: firstly, determining the types and contents of measurable substances in the organic electrolyte by using a color mass spectrometry technology; secondly, testing the organic electrolyte by using a nuclear magnetic resonance hydrogen spectrum technology, marking the peak positions of the substances, and determining the peak positions of the easily decomposed substances by using a standard sample; and thirdly, calculating the content of the easily decomposed substances according to the test results and the integral area ratio, wherein the easily decomposed substances are tri (trimethylsilyl) borate or / and tri (trimethylsilyl) phosphate. The method ingeniously combines the color mass spectrometry technology and the nuclear magnetic resonance hydrogen spectrum technology, solves the qualitative and quantitative problems of the color mass spectrometry technology when facing the easily decomposed substances, and thus a new simple and accurate measurement method is obtained.

The invention provides a layered ferroelectric material piezoelectric response measurement method and device capable of eliminating static artifacts, and relates to the technical field of advanced functional material characterization and testing. According to the specific implementation scheme, a CuxInyP2S6 single crystal is synthesized by adopting a chemical vapor transport method; a Raman spectrum and an energy dispersive spectrometer are used for testing, and whether a sample composition is a CuInP2S6-In4 / 3P2S6 bulk heterostructure or not is verified; if the verification result is yes, the influence of the CuInP2S6-In4 / 3P2S6 ferroelectric domain characterization result under the action of the static artifact is obtained through a PFM test; using a static blind spot method to counteract static artifacts, and performing comparative analysis to obtain a real amplitude value of a CuInP2S6-In4 / 3P2S6 surface ferroelectric domain; and corresponding data are extracted for calculation, so that the piezoelectric coefficient of CuInP2S6-In4 / 3P2S6 is obtained. By optimizing a bias voltage and laser positioning strategy, the interference of electrostatic interaction on a measurement signal is effectively eliminated.

The invention discloses a data acquisition method and system for a digital model, and relates to the technical field of data acquisition, and the method comprises the steps: recognizing a redundant field based on the uniqueness of the field, and determining the redundancy and threshold of system security alarm data; preprocessing the system security alarm data, and constructing node variable characteristics of the preprocessed system security alarm data; and constructing an acquisition model based on the node variable characteristics and the system security alarm data. According to the method, the redundant field is identified based on the uniqueness of the field, and the field of the system security alarm data is analyzed by using the first normal form principle, so that the accuracy of redundancy identification is improved, the accurate quantification of the data redundancy is realized, and the accuracy of the system security alarm data is improved by preprocessing the system security alarm data. The method improves the quality and consistency of system security alarm data, and provides a more comprehensive feature description for the analysis and modeling of the relationship between complex data through distribution feature function extraction and matrix processing.

The invention discloses a method for degrading vomitoxin in coconut meal through microbial fermentation, and belongs to the technical field of coconut meal fermentation. In order to solve the problems of limitation of microbial strain screening culture, insufficient vomitoxin degradation efficiency and inaccurate fermentation process control, by screening and domesticating microbial strains, the specific enzyme activity is remarkably improved, efficient degradation of vomitoxin is realized, an environment suitable for microbial growth and metabolism is provided, and the vomitoxin degradation efficiency is improved. By combining the synergistic effect of microbial fermentation and an exogenous enzyme preparation, the vomitoxin degradation efficiency is improved to the greatest extent, the limitation of single microbial metabolism is broken through, particularly, remarkable advantages are shown in a high-mycin-polluted complex matrix, the vomitoxin content is remarkably reduced, and the vomitoxin degradation efficiency is improved to the greatest extent. The substrate quality of the coconut meal is maintained, and the efficient, safe and controllable vomitoxin degradation method is constructed through optimization treatment of the coconut meal substrate, microbial screening and domestication and the synergistic effect of exogenous enzymes.

The invention discloses a sunlight-induced chlorophyll fluorescence observation data processing method and device, equipment and a medium, and the method comprises the steps: firstly, building a connection relation between a complex parameter and a vegetation index based on an empirical statistical relation, and generating a model simplified parameter; then, on the basis of the parameters, the SIF proportion of single scattering escape of pure vegetation, the SIF proportion of single scattering escape of pure soil and the SIF proportion of scattering escape between soil and vegetation are calculated, and the single vegetation scattering escape rate, the single soil scattering escape rate and the scattering escape rate between soil and vegetation are generated. Finally, on the basis of the escape rates in the three aspects, a downscaling calculation formula is constructed, and SIF observation data downscaling processing is completed. According to the method, the accurate quantification of the influence of the soil background on the fluorescence escape probability is realized, the simplicity and convenience of the calculation process are ensured, and the wide applicability of the descending scale in sparse canopies and bright soil backgrounds is improved.

The application discloses a kind of sparse point cloud and GCN fusion's citrus defect detection method and system, the point cloud of citrus data set is input into GCN_PointNet++ model in the application, the GCN_PointNet++ model combines GCN with PointNet++ network and carries out feature transmission by PaConv module;GCN_PointNet++ model is distilled by BIFPN, and the total distillation loss function is obtained by combining BIFPN distillation label to guide student network training, and the best point cloud segmentation result is obtained, that is, citrus defect segmentation point cloud model;Based on citrus defect segmentation point cloud model, three-dimensional reconstruction is carried out on citrus, three-dimensional point cloud mesh file is established, and the area of defects is calculated according to the surface formed by the mesh.The application realizes the accurate segmentation of citrus defect point cloud and the accurate quantification of citrus defect area.

The invention relates to the technical field of pavement disease detection, and discloses a pavement disease intelligent positioning and quantifying method, which comprises the following steps: acquiring road surface image data and navigation data corresponding to the road surface image data; based on the morphological information of the disease, quantifying the disease length, the disease area, the disease average width and the disease maximum width to obtain quantified disease characteristics; establishing a corresponding relation between the image and the acquisition sequence according to the quantized disease characteristics, and searching navigation data corresponding to the skeleton pixel points; calculating latitude and longitude coordinates of scanning line boundary points according to latitude and longitude coordinates of a scanning center point in the navigation data, and converting any skeleton pixel point in the image into geographic coordinates of a disease so as to realize positioning of a disease target in a real geographic space; and making a disease GIS map based on the geographic coordinates of the diseases and the quantitative disease characteristics. According to the invention, each pixel point in the image is regarded as an independent positioning unit, so that the morphology of the disease can be presented more accurately.

The present invention discloses a combustion reaction pool array for studying the ignition performance of energetic materials and its application. A carrier is provided, and a plurality of pits are provided on the carrier in an array distribution; the diameter of the pits is at least 2 to 10 times the diameter of the sample particles, so that each pit can accommodate 2 to 10 sample particles. Compared with the commonly used milligram-level powder pile laser ignition, the combustion reaction pool array of the present invention can control the number of particles in the sample particle pile, and when conducting laser ignition and combustion mechanism research, the interaction between particles can be clearly observed; the number of particles in the particle pile can be limited by controlling the pit size in the pit array to avoid triggering an explosion, which is convenient for observing the combustion characteristics of the sample particle energy release process and its interaction form, and can also restrain the sample particles, which is conducive to observing the characteristics of the entire combustion process of the sample.

The application relates to the technical field of brine circulation, and discloses a method and system for recycling old brine soup into marinated meat, which is aimed at the technical problems of large batch flavor fluctuation and unstable quality caused by experience-dependent management in recycling old brine soup, and a dynamic feeding and closed-loop maintenance rule based on a fixed coefficient model is provided.The core technology comprises the following steps: taking old brine soup of the previous batch according to the proportion of 1.2 times the weight of main materials of each batch; automatically calculating the dosages of salty and fresh materials, spice materials and food additives required by the batch according to the pre-stored fixed coefficient of auxiliary materials corresponding to each kilogram of main materials; adopting three-stage fire control (boiling with strong fire, slow stewing with weak fire and constant-temperature soaking); and establishing a waste judgment rule of brine soup quality detection (salinity, pH and Brix) and cycle number management (upper limit of 30 times). The application realizes quantitative control of recycling of old brine soup, guarantees the flavor consistency between batches, reduces the operation threshold, and provides a corresponding control system and a storage medium.

The present application relates to the field of data processing technology, and discloses a method, device and storage medium for generating a plastic surgery plan based on medical images. The method comprises: preprocessing and adaptively segmenting multimodal medical image data to obtain a three-dimensional image data set; reconstructing the three-dimensional image data set by multi-scale feature fusion to obtain a three-dimensional anatomical model; interactively defining the target of the three-dimensional anatomical model to obtain a quantitative surgical target parameter set; performing multi-target optimization processing on the quantitative surgical target parameter set to obtain an optimized surgical plan; based on the optimized surgical plan, performing a virtual surgical simulation driven by a physical engine on the three-dimensional anatomical model to obtain a postoperative appearance prediction model; dynamically aligning and performing real-time feedback analysis on the postoperative appearance prediction model to obtain a surgical navigation data stream, and generating a target plastic surgery plan based on the surgical navigation data stream. The present application improves the efficiency and accuracy of generating plastic surgery plans based on medical images.

The invention provides a digital PCR primer probe combination for detecting MET gene amplification and application thereof. The primer probe combination comprises upstream and downstream primers for amplifying MET genes and a probe for specifically detecting the MET genes, the upstream primer is as shown in SEQ ID NO. 1; 1, and the downstream primer comprises SEQ ID NO. 2; and the probe is shown as SEQ ID NO. 3. According to the present invention, the MET gene copy number detection is performed by using the micro-droplet type digital PCR technology and using the DNA extracted from the tissue and the plasma as the operation object, and the detection method has advantages of short detection period, less reaction number, simple operation and high detection result sensitivity.

The application discloses a kind of power electronic equipment cluster loss evaluation method and related device, it is related to power electronic technical field, wherein method includes: according to the actual physical structure of power electronic equipment cluster, the system simulation model including several components is established, and the simulation parameters of each component are set according to equipment manual;Establish the instruction set of power electronic equipment cluster under the operation scene, input the instruction set into the system simulation model and run simulation to obtain simulation calculation result;According to simulation calculation result, the total loss of all battery modules, main transformer, box-type transformer, power electronic converter and electrical circuit is calculated;The total loss of battery module, main transformer, box-type transformer, power electronic converter and electrical circuit calculated is accumulated, and the total loss of entire power electronic equipment cluster is obtained.The application solves the problems that the loss evaluation precision of prior art is poor, it is difficult to handle cluster interaction effect and the evaluation result is not reliable.

The invention discloses a power grid frequency fluctuation multi-time scale feature identification and modeling method and system. The method comprises the steps of obtaining a frequency fluctuation sequence; performing detrending fluctuation analysis on the frequency fluctuation sequence to obtain a fluctuation function; acquiring a local maximum value of the fluctuation function, and dividing second-level, minute-level and hour-level time scale intervals; in different time scale intervals, a second-order autoregression model is adopted to carry out modeling on frequency fluctuation; all the second-order autoregression models are superposed, a power grid frequency average value in a set period is added to obtain a power grid frequency preliminary comprehensive model, and the preliminary comprehensive model is corrected based on historical accumulated deviation in a set long-time scale; the characteristic equations of all the second-order autoregression models are solved, different characteristic parameters are selected for calculation or acquisition according to the types of the characteristic roots, and the different characteristic parameters correspond to different power grid adjusting mechanisms. According to the method, accurate quantification of each fluctuation source is realized, and specific key parameters such as relaxation time, oscillation period and noise variance are identified.

The present invention relates to the technical field of image analysis, and discloses an image analysis device for urine detection, comprising an image acquisition unit, a data processing unit, a data analysis unit, and a result output unit. The present invention can convert a high-definition image of a urine sample from an RGB color space to an HSV color space, and more accurately describe and analyze color features; by creating a hue domain, a saturation domain, and a brightness domain, and based on the comparison of the absolute value of the difference between pixel points and the standard deviation, an abnormality analysis is performed on the high-definition image, and it can accurately determine whether the color of the urine sample is abnormal; the analysis result is presented to a user in an intuitive form, so that the user can quickly obtain and understand the test result, and a method of determining whether the color is abnormal is also used by calculating a color intensity determination value and comparing it with a preset normal urine color range.

The application discloses a centrifugal micro-fluidic high-throughput analysis chip, and belongs to the technical field of micro-fluidic chips, which is provided with a rotating center, and comprises: M detection units arranged around the rotating center; the detection unit comprises: a waste liquid chamber; N linear quantitative distribution channels which extend in the radial direction and are provided with a first sample adding port at the leading end and connected with the waste liquid chamber at the tail end; and K reaction chambers which are distributed in the radial direction from inside to outside; the linear quantitative distribution channel is provided with K first quantitative chambers which are connected with the K reaction chambers in sequence in the direction from the rotating center to the edge through hydrophobic micro-channels; the first quantitative chamber and the reaction chamber which are connected with each other are characterized in that the reaction chamber is farther away from the rotating center. The distribution of the chambers in the detection unit of the micro-fluidic chip and the connection mode between the chambers are improved, so that the resistance and centrifugal force of the quantitative chamber are matched during centrifugation, liquid quantification is accurately realized, and chip processing is facilitated.

This invention discloses a mobile data communication service system, specifically relating to the field of mobile communication resource scheduling technology. It addresses the problem of transmission instability caused by existing wireless resource scheduling methods that focus only on instantaneous channel states while neglecting the continuous transmission requirements of service flows when dealing with persistent services. The system employs a system where: an information acquisition module acquires service data flow characteristic parameters and instantaneous channel state information; a service parsing module identifies persistent service data flows and parses the structure of service data units, assessing the strength of internal logical dependencies; a key marking module marks data units with internal logical dependencies exceeding a threshold as key service data units; a feature analysis module constructs a channel state fluctuation propagation path diagram and extracts multi-scale entropy features; an impact assessment module evaluates the degree of transmission impact through cross-point analysis; and a policy execution module generates a resource allocation policy and allocates wireless resources to persistent service data flows, achieving coordinated optimization of service requirements and channel states.