180results about How to "Short analysis time" patented technology

The invention discloses a data analysis processing method and system based on a water conservancy project, and relates to the technical field of data processing, and the method comprises the steps: carrying out the analysis processing of to-be-processed water conservancy project data in a database system based on a data management terminal, and obtaining a water conservancy project abnormal data position; and based on the data management terminal, analyzing and processing the water conservancy project abnormal data position, and determining a water conservancy project abnormal data type. According to the method, missing data positioning is performed on the to-be-processed water conservancy project data in the database system, then the type of the missing data is analyzed, whether the missing data can be supplemented or not is determined, and if not, the missing data is deleted, so that interference on the water conservancy project power generation equipment during subsequent analysis on the operation state of the water conservancy project power generation equipment is avoided; the data analysis time is shortened, and finally, the supplemented water conservancy project data is sorted through the time continuity, so that the analysis of the water conservancy project data is more convenient and faster when the water conservancy project data is called subsequently.

The invention discloses a traditional Chinese medicine curative effect intelligent analysis and prediction platform, and relates to the technical field of traditional Chinese medicine analysis. The intelligent management platform is in communication connection with a data preprocessing and standardization module, a symptom description standardization processing module, a network relation analysis module, a network target positioning module, a network target navigation module, a drug effect prediction and evaluation module and a report generation and output module. According to the traditional Chinese medicine curative effect intelligent analysis and prediction platform, by integrating a machine learning technology, the accuracy of traditional Chinese medicine curative effect evaluation is remarkably improved, a large number of traditional Chinese medicine prescriptions, patient syndromes and curative effect data information are collected and analyzed, and the treatment effects of the traditional Chinese medicine prescriptions on different syndromes are evaluated by combining a network target and an established network relationship; and analysis results of the drug target intervention effect and the synergistic effect are provided, so that the action mechanism of the traditional Chinese medicine prescription can be deeply understood, and the traditional Chinese medicine prescription with a potential curative effect can be quickly screened out.

According to the single-cell transcriptome cell annotation method and system fused with the large language model, cell type annotation is carried out by constructing the proprietary cue word and utilizing the large language model, and the accuracy and universality of cell annotation are improved. The method has remarkable advantages on cell annotation of non-mode species, and an automatic and intelligent cell annotation process is realized.

The invention discloses a catenary dropper unsupervised defect detection method based on a convolution automatic encoder, and aims to solve the problems of low efficiency, high cost, high false detection rate and high omission ratio in a traditional dropper detection method based on manual inspection or simple image processing. The method comprises the following steps that firstly, image data of the catenary dropper is collected and preprocessed, and the preprocessing step comprises image graying, denoising and normalization processing so as to eliminate the influence of external factors and enhance the image quality; then, the preprocessed image is input into a convolution automatic encoder model, a convolution automatic encoder is composed of an encoder and a decoder, the encoder extracts local features of the image through convolution and pooling operation and carries out dimension reduction, potential space representation is generated, and the potential space representation is extracted; the decoder restores the potential spatial representation to an output image similar to the input image by a deconvolution or up-sampling operation. By calculating a reconstruction error between an input image and a reconstruction image, an abnormally large reconstruction error is identified so as to judge whether the dropper has defects or not.

The invention discloses a method for extracting and analyzing microplastics in activated sludge, and belongs to the field of pretreatment and detection of environmental pollutant analysis. According to the technical scheme, the method comprises the steps of screening a micro-plastic extracting solution in an activated sludge sample and extracting and separating the micro-plastic, wherein the steps comprise density flotation extraction, centrifugation, supernate filtration, organic matter oxidation digestion, micro-plastic refiltration, reflotation extraction and collection and micro-plastic analysis. The pH value of the extracting solution is alkaline, the extracting solution does not react with active sludge components, and the problems that a large number of bubbles generated during flotation of a conventional flotation solution are difficult to eliminate for a long time, exothermic reaction occurs, the temperature of the solution is rapidly increased, and micro-plastic deforms and deteriorates are solved; the used filter membrane can be used for directly performing spectrum-mass spectrum qualitative and quantitative analysis without spectrum absorption, so that the miss detection phenomenon of incomplete transfer possibly caused by transfer of the micro plastic particles is avoided; the wet activated sludge sample is directly extracted and separated, so that the efficiency is high.

The invention belongs to the field of analytical chemistry and mathematical modeling, and particularly relates to a method for predicting and identifying whether soy sauce contains yeast extracts, which comprises the following steps: 1) taking different types of soy sauce as modeling samples; 2) carrying out decolorization pretreatment on the modeling sample; (3) carrying out spectrum scanning on the modeling sample by adopting a Raman spectrum technology to obtain original Raman spectrum information; 4) preprocessing the Raman spectrum data obtained in the step 3); 5) sampling for multiple times to establish a sparse logistic regression model, and recording important wave numbers; 6) counting wavenumber importance; 7) selecting an important wave number; 8) using TabPFN to establish a prediction model; (9) predicting and judging whether the yeast extract is added into the soy sauce sample or not by utilizing the established prediction model; compared with the prior art, the method can quickly and accurately identify whether the soy sauce such as light soy sauce and dark soy sauce contains the yeast extract or not, and is simple and quick in identification process, short in analysis time, high in accuracy and high in practicability.

The invention relates to the technical field of power system automation, and provides a photovoltaic inverter high-voltage ride-through test result automatic analysis method, which comprises the following steps: reading high-voltage ride-through test data of a photovoltaic inverter, firstly judging single and continuous high-voltage ride-through faults, classifying the single high-voltage ride-through faults into three-phase faults and two-phase faults, and carrying out fault analysis on the three-phase faults and the two-phase faults; no-load test data are further calculated, and if the no-load test data are qualified, the voltage drop depth, the drop duration, the reactive current response time, the reactive current duration, the reactive current exit time and the active power fluctuation of the load data are further calculated; performing no-load test data on the continuous high voltage ride through, and further judging whether load test data is off-grid if the no-load test data is qualified; and if not, automatically storing the test waveform and the calculation result in word, and otherwise, outputting that the test waveform and the calculation result are unqualified. The automatic analysis of the high-voltage ride-through test result of the photovoltaic inverter is accurately realized, and the test waveform and the calculation result are automatically stored in the word.

The invention discloses a method and equipment for rapidly detecting the content of progesterone in cow and sheep milk, and the method comprises the following steps: respectively collecting an optical signal, an electrochemical signal and current and voltage data of a sample in the cow and sheep milk through an optical detection module, an electrochemical detection module and a current and voltage detection module; the physical and chemical characteristics of the sample in the cow and sheep milk can be comprehensively analyzed from multiple dimensions. The detection data can be quickly and accurately processed and transmitted by combining a signal processing system and equipment, a reliable guarantee is provided for subsequent analysis, and in addition, a progesterone mathematical model embedded into the signal processing system realizes high-precision calculation of the concentration of progesterone in milk of cattle and sheep by combining a detection signal and a standard curve. The model not only improves the accuracy of a detection result, but also remarkably shortens the analysis time, and practically meets the urgent requirements for rapid detection and efficient output in practical application.

The invention belongs to the technical field of analysis and detection, and relates to an analysis method and an analysis system of ethylene glycol by-product mixed alcohol, the analysis method comprises the following steps: S1, preparing a corresponding reference solution and a standard mixed alcohol solution according to a to-be-analyzed component in the ethylene glycol by-product mixed alcohol; s2, for the reference substance solution and the standard mixed alcohol solution, constructing a standard curve model corresponding to each component through gas chromatography; s3, collecting by-products in ethylene glycol production in real time, and filtering; according to the method, peak areas corresponding to components to be analyzed in the mixed alcohol sample are obtained and then substituted into respective standard curve models respectively, and the content of the components to be analyzed in the mixed alcohol sample is obtained. According to the method, the standard curve model is constructed, and the mixed alcohol is pretreated, so that the content of multiple components in the mixed alcohol is analyzed and detected, the analysis time is shortened, the analysis cost is reduced, and the analysis accuracy and sensitivity are improved.

The invention provides a mud-phase shale component quantitative analysis and calculation method, which relates to the technical field of geological mineral exploration and mainly comprises the steps of sample collection and pretreatment, X-ray diffraction pattern acquisition, pattern analysis and mineral component determination, quantitative calculation based on an innovative model, result correction and evaluation and the like. Through an innovative quantitative analysis model and a strict sample processing flow, the content of various mineral components in the mud-phase shale can be more accurately determined, analysis errors are reduced, more reliable data support is provided for geological research and resource exploration, and compared with a traditional method, the method has the advantages that operation steps are simplified, analysis efficiency is improved, and the method is suitable for popularization and application. According to the method, the quantitative analysis of the mud-phase shale components can be completed in a shorter time, the progress of research and exploration is accelerated, the dependence on complex and expensive chemical analysis equipment is reduced, the experiment cost and the human input are reduced, and meanwhile the utilization efficiency of resources is improved.

The invention provides a data visualization method and device for network links, a medium and equipment, and the method comprises the steps: firstly, constructing a network structure chart containing network nodes and network links among the network nodes according to the metadata of the network nodes, and secondly, responding to the received state information of the network nodes, determining the network structure chart of the network links among the network nodes, and displaying the network structure chart of the network links among the network nodes according to the state information of the network nodes. According to the method and the device, the abnormal type and the abnormal network link are determined, and finally, the abnormal link is displayed in each network structure chart, and by displaying the abnormal reason in the network structure chart, the interpretability of the monitoring result is improved, so that the analysis time of monitoring personnel is shortened, and the timeliness of subsequent adjustment is improved.

The invention discloses a purity analysis method for crude vinyl chloride in a conversion process, which comprises the following steps: after sampling, carrying out qualitative and quantitative analysis on small molecule components in the crude vinyl chloride, then analyzing acetylene and high-boiling residues in the crude vinyl chloride, and calculating the purity of the crude vinyl chloride according to a deduction method. Compared with the prior art, the aluminum foil sampling bag is adopted for sampling, so that the problem of poor sample representativeness is solved; the content of the high-boiling residues in the crude vinyl chloride can be accurately analyzed by adopting gas chromatography, so that the accuracy and precision of analysis data are improved; according to the method, gas chromatography is adopted to completely replace a dichloroethane absorption method, so that the working intensity of workers is reduced, and the method has the effects of safety, environmental protection and low energy consumption.

The invention relates to the field of analysis, in particular to an ovalbumin molecular weight analysis method and application thereof. The method for analyzing the molecular weight of the ovalbumin comprises the following steps: (a) performing denaturation treatment and cooling on an ovalbumin solution, and adding glycosidase for enzyme digestion to obtain an ovalbumin desugaring sample; (b) detecting and analyzing the ovalbumin desugaring sample by using liquid chromatography and mass spectrometry; and (c) carrying out molecular weight analysis according to detection data obtained by the mass spectrum. According to the method for analyzing the molecular weight of the ovalbumin, the desugaring step is simplified, and the desugaring effect is improved; the analysis time is short, the operation is simple, and only several hours are needed from sample pretreatment to result analysis completion.

The invention belongs to the technical field of detection of traditional Chinese medicine preparations, and particularly relates to a quality control method of Jindan attached-extending granules, the quality control method adopts UHPLC-MS / MS-QAMS technology to determine the content of multiple components of corydalis tuber in the Jindan attached-extending granules, the quality control method comprises the following steps: firstly, preparing a test solution and a reference solution; respectively measuring the test solution and the reference solution by using UHPLC-MS / MS, recording the peak area, and calculating the relative correction factor and content of each component by using tetrahydropalmatine as an internal reference substance. According to the method, the tetrahydropalmatine is determined by adopting UHPLC-MS / MS-QAMS through a quantitative analysis of multi-components by single marker, indirect determination of other various related components is realized, the method is low in detection cost, high in sensitivity, strong in specificity and short in analysis time, whether corydalis amabilis is doped in the rhizoma corydalis decoction pieces fed in the production of the Jindan attached-delay granules or not can be well distinguished, and the quality of the Yindan attached-delay granules is ensured. And a basis is provided for quality monitoring of the Jindan Qingyuan granules.

The invention relates to the technical field of antennas, and discloses a simulation analysis method, device and equipment for a whole vehicle antenna and a storage medium, and the method comprises the steps: building a vehicle body model of a vehicle and an antenna model of a vehicle-mounted antenna; importing the vehicle body model and the antenna model into simulation software, and setting simulation parameters of the simulation software; based on a bounce ray algorithm solver and a finite element algorithm solver in simulation software, carrying out simulation analysis on the antenna model and the vehicle body model by adopting an equivalent source technology to obtain a simulation result and exporting the simulation result; and under the condition that the simulation result is consistent with the actual test result, taking the simulation result as a simulation analysis result of the vehicle-mounted antenna. According to the method, the antenna is replaced with the result obtained by solving the antenna through the finite element algorithm solver, further solving is conducted on the vehicle body model, the simulation result is obtained, and compared with simulation analysis conducted through a single algorithm, calculation resources are saved, analysis time is shortened on the basis that the precision of the simulation result is guaranteed, and therefore calculation efficiency is improved.

The invention discloses a medical image recognition method and system integrating deep learning and a big data algorithm, and aims to improve the recognition efficiency and accuracy of medical images. The method comprises the following steps: collecting medical image data from a plurality of medical institutions, and constructing a large-scale medical image database; carrying out standardization processing on the collected medical image, wherein the standardization processing comprises image enhancement, denoising and size adjustment; based on the processed data, constructing a deep learning model by using a convolutional neural network, and performing feature extraction in combination with a big data algorithm; training the deep learning model by adopting an integrated learning method, and optimizing model parameters; after model training is completed, the input medical image is recognized in real time, and a recognition result is fed back to a doctor; and an identification result and related image data are stored in a cloud end to provide support for subsequent analysis. By means of the method, the medical image recognition efficiency can be effectively improved, and more reliable auxiliary support is provided for clinic.

The invention relates to the technical field of consumer goods detection, and discloses a detection method for rapidly determining the content of twenty-two flame retardants in consumer goods, which comprises the following steps: S1, preparing a liquid sample; s2, putting a solid sample to be detected into a reaction tube, and adding a liquid sample; step S3, extracting; and S4, analyzing the sample solution by adopting a liquid chromatograph-mass spectrometer. The method can simultaneously detect the content of twenty-two organic flame retardants, utilizes ultrasonic extraction and LCMSMS analysis, makes up the disadvantages of gas chromatography, can rapidly determine the content of twenty-two organic flame retardants, is simple in operation and short in analysis time, and has very high test efficiency. According to the method, the repeatability is 0.3%-3.8%, the reproducibility is 1.3%-2.7%, the detection limit of the method is as low as 0.02 mg / kg, and the method completely meets the control requirements of all countries and the test requirements of customers.

The invention discloses a kit for rapidly detecting seven genital tract pathogens by a one-tube method. The kit comprises a primer and a probe aiming at ureaplasma urealyticum, a primer and a probe aiming at ureaplasma parvum, a primer and a probe aiming at chlamydia trachomatis, a primer and a probe aiming at gonococcus, a primer and a probe aiming at mycoplasma genitalium, a primer and a probe aiming at mycoplasma hominis and a primer and a probe aiming at trichomonas vaginalis. In addition, the invention also discloses a method for rapidly detecting seven common genital tract pathogens by a one-tube method. According to the method, the detection sensitivity is greatly improved, the operation is simple, and seven genital tract pathogens can be simultaneously detected in a short time.

The invention discloses a method for detecting semeglutide in food, which comprises the following steps: S1, adding a to-be-detected food sample into methanol or a methanol aqueous solution, mixing, and sequentially carrying out homogenization, ultrasonic extraction and filtration to obtain an extracting solution; s2, carrying out liquid chromatography and tandem mass spectrometry analysis on the extracting solution; wherein the elution mode of the liquid chromatography is gradient elution. According to the method, the semeglutide in the to-be-detected food sample can be effectively extracted by adopting homogeneous extraction and ultrasonic extraction of the methanol aqueous solution, then the extracting solution is analyzed by adopting the liquid chromatography tandem mass spectrometer, and the used detection method has the advantages of being high in separation capacity, simple in operation process, wide in applicability and short in analysis time. By utilizing the method disclosed by the invention, qualitative and quantitative analysis of the semeglutide in the food can be quickly and accurately carried out, the liquid phase analysis accuracy is high, the repeatability is good, trace detection of the semeglutide in the food can be realized, and the detection limit is less than or equal to 1.5 mu g / kg.

The invention discloses a closed-loop optical-mechanical structure optimization method based on optical-mechanical heat integration analysis, belongs to large-aperture optical lens optical-mechanical structure design, and solves the problems of low efficiency and insufficient reliability in the traditional optical-mechanical structure optimization process. Performing finite element analysis on the parameterized model by adopting a finite element method to obtain node displacement data; performing optical system parameter analysis in combination with an optical-mechanical interface to obtain optical system parameters, performing closed-loop optimization in combination with an optimization algorithm model to obtain optimal structure design parameters, and completing closed-loop optical-mechanical structure optimization based on optical-mechanical heat integration analysis; according to the structure optimization method, the closed-loop integrated optimization algorithm is adopted to analyze and feed back the structure parameters, the optimization result can be accurately converged into the optimization interval, a large amount of repeated labor for manually transmitting analysis data is reduced, the analysis time is saved, the optimization efficiency of the optical-mechanical structure is improved, and meanwhile the reliability is good.

The invention belongs to the technical field of aerospace and topological optimization, and particularly relates to a layering-reinforcement collaborative optimization method for a composite material wallboard structure. Comprising a rib layout description method, a laminated plate laying angle description method, composite material wall plate structure laying-reinforcement collaborative optimization, and flexibility minimization design and fundamental frequency maximization design of the composite material wall plate structure laying-reinforcement collaborative optimization. According to the rib layout description method, a reinforcement optimization design method based on an MMC method is adopted to explicitly describe rib information, the rib information serves as a design variable, and a rib path is obtained. According to the method, the influence of the laminated plate design variable and the rib design variable is considered at the same time, the global optimization configuration can be obtained, the effects of the laminated plate and the rib can be fully played, the problem of flexibility minimization of the laminated plate reinforced structure is solved, the strength and rigidity of the structure can be improved from the side face, and the reliability of the structure is improved. The problem of fundamental frequency maximization of a laminated plate reinforced structure is solved, and unfavorable conditions such as resonance are prevented.

The invention discloses a method for predicting the GI value of starch-based food, and belongs to the technical field of food digestion detection. According to the method, the dialysis bag is added into the in-vitro small intestine digestion simulation system, and the glucose in the digestion simulation process is transferred out, so that the influence of the glucose generated in the digestion simulation process on the digestion system is reduced, and the digestion effect of the starch-based food in the small intestine is more truly reduced. The method can be applied to the field of functional low-GI food development, and scientific guidance is provided for functional food and food accessory diet development.

The present invention relates to a method for detecting perfluorinated and hexabromocyclododecane compounds in an orthodontic transparent appliance, and belongs to the field of detection technology. The method comprises the following steps: S1: sample preparation: adding an orthodontic transparent appliance sample to artificial saliva, incubating in a rotary shaker at 37°C ± 1°C for 2 weeks, and filtering to obtain a sample solution; S2: sample pretreatment: adding a magnetic composite material Fe3O4@F‑COF to the sample solution, and vortexing; separating the magnetic composite material Fe3O4@F‑COF from the solution; eluting the separated magnetic composite material Fe3O4@F‑COF with a methanol solution; separating to obtain an eluent; S3: detection and analysis: using a high performance liquid chromatography-tandem mass spectrometry detection method to detect and analyze the eluent. The present invention establishes a method of magnetic solid phase extraction-high performance liquid chromatography-tandem mass spectrometry (MSPE-HPLC-MS / MS), which can simultaneously detect the amount of perfluorinated and hexabromocyclododecane compounds released by an orthodontic transparent appliance, with high sensitivity, low detection limit, and short analysis time.

The invention discloses a liquid chromatography piston which comprises a connecting plate, two chromatographic columns are fixed below the connecting plate, and each chromatographic column is filled with a stationary phase filler; the two pistons are respectively arranged in the chromatographic column in a sliding manner, and threaded pipes are fixed above the pistons; the two nuts are rotationally arranged on the connecting plate respectively and are in threaded connection with the two threaded pipes respectively, and the position of the piston in the chromatographic column can be adjusted by rotating the nuts, so that the column length and the column pressure of the chromatographic column are changed; the two connecting strips are respectively fixed at the upper ends of the threaded pipes; the two liquid inlet pipes are arranged in the threaded pipe in a sliding mode, and the upper end of each liquid inlet pipe penetrates through the connecting strip and is fixedly connected to the same fluid director; compared with the prior art, the method has the advantages that the column pressure, the column length and the filling amount in the chromatographic column are flexibly regulated and controlled, the analysis time and the resource utilization can be optimized, and a remarkable progress is brought to the field of liquid chromatography analysis.

This invention discloses a method for identifying the origin of quartz based on multimodal signal fusion using scanning electron microscopy (SEM). It utilizes only one SEM equipped with an energy dispersive spectroscopy (EDS) probe, a cathodoluminescence (CAT) probe, and a backscattered electron diffraction (BSE) probe. By comprehensively employing multiple indicators, including the coefficient of variation of CL band width (a), the Al-Ti influence coefficient (b), the lattice orientation difference influence coefficient (c), and the relative gravity coefficient of inclusion type (d), the method determines whether a quartz sample is of hydrothermal or metamorphic origin. This invention achieves rapid and accurate identification of the origin of quartz.

The invention discloses a fingerprint spectrum construction method of a traditional Chinese medicine composition containing angelica sinensis and cinnamon. The construction method comprises the following steps: preparing a test solution; preparing a reference substance solution; and obtaining the fingerprint spectrum of the traditional Chinese medicine composition according to results of high performance liquid detection of the test solution and the reference solution. The chemical components of the traditional Chinese medicine composition containing angelica sinensis and cinnamon are comprehensively and systematically analyzed, and a theoretical basis is provided for deep research on quality control and pharmacodynamic material basis.

This invention relates to the field of electroplating solution analysis technology, and in particular to a rapid analytical method for polyethylene glycol (PEG) additives in copper electrodeposition solutions. The method involves protonated PEG forming a macromolecular complex colloid with phosphomolybdate under acidic conditions of pH 1.0–2.0. This colloid exhibits maximum absorption at 372 nm, and the absorbance value is directly proportional to the PEG concentration in the formed complex colloid. This allows for quantitative analysis of PEG in the copper electrodeposition solution. Because the phosphomolybdate-PEG complex colloid selected in this invention has excellent selectivity, and no sample pretreatment is required, this invention offers advantages such as ease of operation, speed, high sensitivity, and good selectivity. It is particularly suitable for intermediate control analysis in production environments, such as for electroplated copper interconnects in chips and printed circuit boards, as well as electrolytic copper foil for negative electrode current collectors and copper-clad laminates in energy storage batteries.

The invention discloses a direct mass spectrometric detection method for an antioxidant in degradable plastics and a kit thereof.The method for detecting the antioxidant in the degradable plastics comprises the steps that a to-be-detected sample is smashed so as to obtain sample powder; mixing the sample powder with a solvent to obtain a solution containing the sample powder; mixing the solution with an auxiliary ionization matrix to obtain a mixed solution; and carrying out open-type mass spectrometric detection on the mixed solution so as to qualitatively / quantitatively detect the antioxidant. According to the method, a to-be-detected sample is crushed and dissolved, is mixed with a matrix, and is directly detected by using an open-type mass spectrum, so that the method is simple to operate, short in analysis time, does not need or only needs very little pretreatment, can be used for detection only by using a trace sample, is low in sample loss, realizes simultaneous qualitative and quantitative analysis of multiple antioxidants in degradable plastics, and has good application prospects. The detection speed, the sensitivity and the accuracy are high.

The invention provides p-aminoanisole, an impurity of C13 methacetin, and use of the p-aminoanisole as an impurity reference substance, and establishes a method capable of detecting the p-aminoanisole impurity and other impurities in C13 methacetin. The method of the invention can detect the impurity content in C13 methacetin, has the advantages of short analysis time, high separation, good peak shape, simple operation, energy saving, etc., solves the problem of impurity detection in C13 methacetin, thereby ensuring that the quality of C13 methacetin products is controllable, and is of great significance to further improving the product quality of C13 methacetin.

A cross-border cloud internal geographic boundary discovery system and method, relating to the field of network topology detection technology. The technical points of the present invention include: on the basis of normal topology detection, optimization is performed according to the characteristics of the cloud itself, wherein: prefix selection is to select prefixes that can detect more internal geographical boundaries of the cloud according to the characteristics of cloud traffic transmission, thereby reducing the number of detection targets; cloud geographic boundary identification is to quickly and accurately analyze the geographical boundaries of the cloud from the detection results, thereby reducing the analysis time; measurement status monitoring is to monitor the status of the measurement point at all times, observe whether it is abnormally disconnected and make corresponding processing. The present invention improves the discovery rate of the internal geographical boundaries of the cloud on the basis of greatly reducing the measurement targets and measurement time.