23results about How to "Achieve precise quantitation" patented technology

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.

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 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 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 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 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 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.

The utility model discloses a raw material accurate proportioning and mixing device for production of deer-ginseng paste, which belongs to the field of deer-ginseng paste mixing and is characterized in that a sealing cover is mounted at an opening at the upper end of a mixing drum, a Y-shaped feeding pipeline is mounted at the edge of the upper end of the sealing cover, and feeding of different deer-ginseng paste raw materials is realized through the Y-shaped feeding pipeline; push type sealing assemblies are installed at the two ports of the Y-shaped feeding pipeline, and a quantitative box is installed at the upper end of each push type sealing assembly. And the stirring and mixing mechanism ensures that the deer-ginseng paste raw materials are fully and uniformly mixed in a stirring barrel through cooperative work of a stirring motor, a stirring rod and a stirring head. The mixing mode improves the production efficiency and ensures the stability and consistency of the quality of finished products. And the precise proportioning mechanism realizes precise quantification of different deer and ginseng paste raw materials through precise cooperation of a quantification box, a push type abutting mechanism and a push type sealing assembly. The batching mode ensures that the raw materials are fed according to a set proportion, manual batching errors are avoided, and the accuracy and reliability of finished products are improved.

The present application relates to the technical field of food processing automation control, and specifically discloses a beef tallow processing control method and system based on image processing. The technical scheme of the present application acquires real-time images of the oil surface in the melting stage and the decoloring stage of beef tallow processing, segments the images to extract color feature vectors of the oil area and impurity particle shape feature parameters, calculates chroma representation values and impurity area proportions, compares the chroma representation values with standard chroma intervals to generate heating power adjustment values, compares the impurity area proportions with impurity thresholds to generate stirring rate adjustment values, and outputs them to the processing equipment actuators. The present application solves the problems of strong subjectivity and poor consistency caused by the reliance of traditional processing modes on manual experience, and the problem of quality fluctuations that cannot be captured and feedback adjusted in time caused by the fact that existing image processing methods do not form data linkage with the melting and decoloring process, thereby improving the beef tallow processing automation level and product quality consistency.

The invention belongs to the technical field of coal bed gas exploration and development, and particularly relates to a method for representing high-rank coal adsorption pores by using CO2-Ar-N2 adsorption combination, which comprises the following steps: respectively carrying out low-temperature carbon dioxide adsorption experiment, low-temperature argon adsorption experiment and low-temperature nitrogen adsorption experiment on high-rank coal; respectively obtaining a first diffusion hole parameter, a second diffusion hole parameter and a filling hole parameter; and joining the first diffusion hole parameter, the second diffusion hole parameter and the filling hole parameter according to the respective dominant hole diameter sections of the three adsorption experiments to obtain a full-hole-diameter distribution characteristic pattern of the high-order coal adsorption holes. By adopting the method disclosed by the invention, the defects that when a single gas adsorption method is adopted to characterize the high-order coal adsorption pores in the prior art, the characterization range is limited or relatively large errors exist, most of the high-order coal adsorption pores are concentrated on part of pore diameter sections and single adsorbate gas, and a systematic multi-gas combined and full-scale covered high-order coal adsorption pore fine characterization scheme is lacked are overcome.

The invention relates to the field of agricultural information technology and plant protection, in particular to a corn disease control method and system fusing CNN and a large model, and the method comprises the steps: carrying out the precise positioning, type recognition and severity quantitative calculation of a disease region of a corn leaf image through the cooperative processing of image segmentation and a classification model; taking the obtained structured evaluation result and context information as prompts, and obtaining real-time and related prevention and treatment knowledge from a professional knowledge base by means of a retrieval enhancement generation technology; and finally, multi-source information is fused by the large language model, and a customized natural language prevention and treatment report is generated. According to the invention, end-to-end intelligentization from disease identification to prevention and control decision making is realized, the limitation of dependence on manual experience in the prior art is effectively overcome, and the precision and efficiency of agricultural plant protection are significantly improved.

The application relates to the technical field of production logistics scheduling management, and discloses a digital twin workshop production logistics real-time scheduling management method and system, which comprises the following steps: step 1, establishing unified state data and standard parameter baseline, calculating consistency deviation value and setting two-stage deviation determination threshold; step 2, receiving on-site events and determining a scheduling time window; step 3, determining task priority and generating a production to-be-executed list; step 4, generating a carrying task set from the production to-be-executed list and determining carrying equipment and task allocation under constraints; step 5, carrying out channel conflict-free path planning and generating a time-space occupation table; step 6, carrying out cross-consistency checking and executing issuing or local recalculation according to the threshold; and step 7, executing on-site operation and updating unified state data, and executing consistency recovery when the deviation exceeds the limit. The application realizes real-time collaborative scheduling and high-reliability operation of workshop production and logistics tasks.

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 corn genetic performance prediction method fusing multiple environmental factors, and comprises the following steps: acquiring a parent genotype data matrix, a hybrid variety phenotype data vector and a multi-environment time-series climate data tensor; constructing a climate lag effect matrix to quantize the lag influence degree of different climate factors on corn growth and development; constructing an environment space-time relationship matrix and an enhanced genome relationship matrix considering the uneven contribution of sections; constructing a linear mixed prediction model fusing space-time environment information; estimating variance components by a constrained maximum likelihood method and solving model parameters based on a Henderson mixed model equation; and predicting the phenotype traits of a to-be-predicted corn hybrid variety in a target environment by using the solved parameters. The application makes full use of genotype data and multi-environment time-series climate data, effectively integrates genotype effects, environment space-time effects and the interaction effects of the two, and significantly improves the accuracy of corn hybrid variety phenotype prediction.

The present application relates to the technical field of pigment detection, and discloses a method for simultaneously detecting monascine MS and monascin AK, which comprises the steps of adding an extraction solvent to a test sample to perform extraction, obtaining a test sample solution, and performing HPLC detection. The HPLC detection conditions are as follows: using a cholesteryl group bonded silica gel filler as a filler, using acetonitrile as a mobile phase A, and using 0.05-0.2% (v / v) formic acid as a mobile phase B to perform gradient elution. In the method for simultaneously detecting monascine MS and monascin AK, the extraction efficiency of target components MS and AK in a sample is improved by optimizing an extraction process, HPLC detection effectively separates MS, AK and other interfering components in monascin, realizes accurate quantification of MS and AK, and the quantitative results are directly related to medicinal efficacy, thereby meeting compliance requirements of active ingredient labeling.

This invention discloses a method for analyzing cold seep methane activity by combining benthic foraminifera isotope analysis. This invention relates to the field of Earth science and technology. It involves collecting and preparing sediment columns from cold seep activity areas, covering different activity periods; meticulously separating individual benthic foraminifera from the sediment columns and treating them to eliminate secondary influences; using mass spectrometry to determine the oxygen and carbon isotope values ​​of the benthic foraminifera, constructing continuous isotope time series data; and analyzing the degree of shift in the oxygen and carbon isotope values ​​of the benthic foraminifera based on the continuous isotope time series data. This invention achieves precise quantification of cold seep activity by measuring the oxygen and carbon isotope values ​​of the benthic foraminifera shells and combining sliding window technology and K-means clustering algorithm. It can identify short-term anomalous shift events and, combined with indicators such as isotope range and the number of zero crossover points, accurately classify cold seep activity types, providing a basis for understanding the dynamic changes of cold seep methane leakage.

The application discloses a kind of test device and method for material weld venting characteristic analysis under vacuum condition, it is related to material analysis field, device includes mutually communicating vacuum pumping system, measuring system and with the standardization sample of measuring system connection;Vacuum pumping system contains air extraction chamber, vacuum pumping set, vacuum valve, air extraction chamber is equipped with first vacuum gauge tube and both sides symmetry is equipped with flow guide small hole;Measuring system contains first, second test chamber, two test chambers are equipped with second, third vacuum gauge tube and mass spectrometer respectively;Standardization sample includes weld test piece and no weld standard piece, two are respectively mounted in two test chamber opening place by sealing flange, wall thickness, material and test chamber are identical, except weld area, the effective venting surface area of base material is equal, the device is designed by symmetrical structure and standardization sample, guarantee test environment equivalence and sample comparability, can accurately quantify weld venting characteristic, provide reliable data support for vacuum cavity welding process optimization.

This invention belongs to the field of food analysis, specifically disclosing a fluorescent carbon dot molecularly imprinted polymer for detecting zearalenone, its preparation method, and its application. First, a pseudo-template molecule of zearalenone is pre-assembled with a functional monomer. Then, a red-emitting carbon dot ethanol solution is added as a fluorescent indicator. Finally, a crosslinking agent is added to carry out a polymerization reaction. After polymerization, the pseudo-template is eluted to obtain a fluorescent molecularly imprinted polymer capable of specifically recognizing zearalenone. When detecting zearalenone, quantitative identification can be achieved based on the fluorescence quenching rate of the red-emitting carbon dots. This method features simple operation, high specificity, strong stability, and low cost, enabling rapid detection of zearalenone in grains and providing a new fluorescent molecular recognition material for the development of rapid detection products for food safety.