44results about How to "Improve analysis rate" patented technology

Light from an object such as a cell moving through an imaging system is collected and dispersed so that it is imaged onto a plurality of separate detectors. The light is spectrally dispersed by a plurality of spaced-apart dichroic reflectors, each detector receiving light from a different one of the dichroic reflectors. Each dichroic filter reflects light of a different predefined color, passing light of other colors. The output signal from each detector is indicative of a different characteristic of the object. In one configuration, each detector is provided with a separate imaging lens. In another configuration, the detectors are spaced at varying distances from the corresponding dichroic reflectors, so that separate imaging lenses are not required.

The invention provides a user information identification and classification method based on an internet application and a system thereof, and aims at compensating limitation of conventional data collection and identification modes. The user information identification and classification method based on the internet application comprises the steps that S1 use information of an application user is acquired; S2 real-time data analysis is performed; S3 offline storage is performed; S4 offline data analysis is performed; and S5 the analysis results are summarized. The method has extremely high compatibility, can realize real-time data collection and has great stability; storage pressure is low and rate of data analysis is high; and the data are stored by adopting an offline mode so that the data are ensured to be complete and errorless and historical data are ensured not to lose. The user information identification and classification system based on the internet application comprises a data collection module, a log analysis module, a storage module, an offline analysis module and a model database. The system has high precision, flexibility and stability and adopts two-stage analysis modes of real-time analysis and offline analysis so that computation pressure of the system can be reduced.

The invention provides a method and a device for analyzing urine. The method comprises the following steps of: respectively carrying out anhydration analysis and formed element preliminary screening on a urine sample to obtain a negative urine sample as a detection result if the two results are negative; carrying out formed element analysis on the urine sample for the second time if the two results are not both negative; converting a formed element analysis result obtained in the second time into qualitative data of a formed element according to a preset number range; comparing the qualitative data with a anhydration analysis result to directly obtain an analysis result of the urine without artificial review if the analysis results of the qualitative data and anhydration related items are consistent even if abnormal data appears, however in the prior art, the artificial review is required when the abnormal data appears. Therefore, according to the method for analyzing the urine, the working capacity of the artificial review is avoided, and the analysis speed is improved.

The invention provides a method for simultaneously and quickly determining contents of multiple organic phosphate fire retardants in drinking water and belongs to the field of the determination for the organic phosphate fire retardants. The method mainly comprises the following steps of: performing solid-phase column extraction; eluting with solvents; concentrating and fixing volume; and determining a to-be-determined sample by using a high performance liquid chromatography-triple quadrupole rod mass spectrum combined meter. According to the method provided by the invention, the high performance liquid chromatography and tandem mass spectrum condition parameters are established and optimized, so that the simultaneous determination for three types (halogen-free, chloro-free and bromo-free) of ten organic phosphates can be realized; the determining method is excellent in selectivity and sensitivity, realizes the quick, accurate and quantitative determination for the contents of multiple organic phosphates under water condition by using the advantage in determined compound nature of the two-level mass spectrum, and overcomes the defects of the prior art in the field.

The invention discloses a method for detecting glycoprotein by molecularly imprinted microspheres based on a boric acid fluorescence probe. The method comprises the following steps: with monodisperse poly(glycidylmethacrylate-co-ethylenedimethacrylate) microspheres as a carrier, grafting the boric acid fluorescence probe on the surface of the carrier; with the boric acid fluorescence probe as a functional monomer, and appointed glycoprotein as a template molecule, polymerizing the template molecule with the functional monomer to form a stable prepolymer; and preparing the appointed glycoprotein molecularly imprinted microspheres by adopting a surface imprint technology. The molecularly imprinted microspheres have selective recognition performance on the appointed glycoprotein, are capable of directly detecting the glycoprotein by adopting a fluorescence method, and are relatively simple to operate, and relatively high in detection speed in comparison with traditional mass-spectrography or chromatography detection.

The invention relates to a user data processing method based on big data and business analysis and a big data platform. The method comprises the following steps: before user portrait analysis, determining a user data analysis strategy based on a service data analysis instruction, and then determining a service interaction object and service interaction type data related to a service interaction time period, and determining the user data acquisition strategy. The big data platform can carry out targeted collection on the user data of the user service terminal based on the user data collection strategy, so that some useless data is filtered out, in this way, when user portrait analysis is carried out, the to-be-processed user data with data analysis and mining value can be directly analyzed,and the user experience is improved. The analysis rate of the user portrait can be improved, and the analysis precision of the user portrait can be improved, so that the processing efficiency of theuser data is improved. According to the method, a user data analysis strategy and a user data acquisition strategy can be combined, so that the intelligent degree of user portrait analysis is improved.

The present invention relates to a method for measuring dissolved methane in seawater, the method comprising the steps of: a) injecting a sample into a vacuum container into which a cadmium chloride solution has been injected, followed by refrigeration; b) vibrating the container, followed by temperature equilibration with the periphery; c) passing the sample in the container through a methane separator to separate dissolved methane and residues; and d) analyzing the separated dissolved methane using a mass spectrometer. The measuring method according to the present invention has advantages of maximally raising the recovery rate of dissolved methane to increase the ratio of analysis and being able to analyze even a small amount of samples. Furthermore, in the measuring method according to the present invention, in addition to the dissolved methane measurement, sulfur isotope analysis can be also simultaneously conducted using the sample from which the dissolved methane has been extracted.

The invention discloses a method and a device for generating a user behavior log. The method comprises the following steps: acquiring scene information corresponding to user behavior information and behavior information; obtaining the generation time of the behavior information from the scene information corresponding to the behavior information; if the interval time between the behavior information generated after the generation time and the generation time of the previous behavior information is less than or equal to the first preset time, connecting the behavior information generated afterthe generation time and the previous behavior information serially in the same behavior information chain according to the sequence of the corresponding generation time; generating situational behavior information according to the behavior information chain and the scene information corresponding to the behavior information in the behavior information chain; extracting key words from situational behavior information to generate a user behavior log. The user behavior log generated by the generation method has low data redundancy. The user behavior log is utilized to analyze the user behavior, the process is simpler, the amount of calculation is smaller, the efficiency is higher, and the applicability is better.

The invention provides a skull slicing method which comprises the following steps: establishing a six-view datum plane of a skull three-dimensional model, limiting the range of a horizontal plane slice by using an upper-view datum plane and a lower-view datum plane, limiting the range of a sagittal plane slice by using a left-view datum plane and a right-view datum plane, and limiting the range ofa coronal plane slice by using a front-view datum plane and a rear-view datum plane, so that generation of a large number of empty slices is effectively avoided, so that the analysis rate of slice data is increased.

Applicant's teachings relate to apparatuses and methods of cleaning laser optical components, particularly in, for example, but not limited to, high throughput matrix-assisted laser desorption ionization (MALDI) applications. In accordance with various embodiments of applicant's teachings, the optical component is heated.

According to the method, on the basis of an Ansys software platform, the finite element model of the ball load service module is established for falling analysis, coarse mesh division is used during primary analysis, the mesh division time can be shortened, the whole analysis time can be saved, the finite element analysis rate can be increased, and an analysis result can be obtained quickly; and when the analysis result meets the falling requirement, grid optimization is carried out on the whole model according to a finite element grid inspection standard, so that the accuracy of the analysis result is improved. According to the method, the problems that in the prior art, the analysis period is long, the experiment cost is high, the requirement for building a test model and an environment is high, and effective analysis cannot be carried out due to the fact that simulation of the falling process of the load cabin is difficult are solved.

A new method for rapid and accurate determination of aromatics content in fuel oil, the specific process is as follows: first scan the ultraviolet spectrum of a certain number of fuel oil samples, and use conventional methods to test the content of the target value as a training set. Then, the empirical mode decomposition is performed on the spectral signals of the training set in turn, and a certain number of intrinsic mode functions (IMF) and residual items are obtained. Then, the previous high-frequency IMF is summed to form a high-frequency signal, and the remaining IMF and residual term are summed to form a low-frequency signal. The high-frequency signal and the low-frequency signal are expanded into an extended matrix in the variable direction, and a partial least squares regression model is established between the extended matrix and the target detection value. The same decomposition, addition and expansion are performed on the ultraviolet spectrum of the prediction set, and the content of unknown components can be predicted by substituting it into the model. The advantage of the present invention is that the self-adaptive Hilbert-Huang transformation method is introduced, and at the same time, the unfolding strategy is used for reference, which not only fully utilizes the data information, but also avoids the selection of model parameters.

The invention discloses an instance processing method and device, and the method comprises the steps: obtaining the diagnosis data of an instance, and enabling the diagnosis data to comprise the diagnosis results of the instance at a plurality of diagnosis time points corresponding to a diagnosis rule; and inputting the diagnosis data into a trained instance anomaly detection component, and obtaining diagnosis information about whether an instance is abnormal or not, the instance anomaly detection component being a neural network model component modeled and processed by using time sequence information. By adopting the method and the device, automatic diagnosis of the instance can be realized.

The invention relates to the field of fluorescence sensing concentration monitoring, in particular to a floating algae concentration monitor based on a fluorescence sensing technology, which comprises a monitoring processor, a fixing structure is arranged on the outer side of the monitoring processor, the fixing structure comprises a bottom plate, and a vertical frame is fixedly connected to the rear side of the top end of the bottom plate. The top end of the monitoring processor is slidably connected with a pressing plate, the rear end of the pressing plate is fixedly connected with a first threaded shaft, and the first threaded shaft is slidably connected with the vertical frame. According to the invention, through the arrangement of the monitoring processor, the first transmission line, the relay processor and the second transmission line, when a large number of floating algae environments need to be monitored, a worker connects the first transmission line to the monitoring processor and the relay processor, and connects the second transmission line between the relay processor and a notebook computer, and the monitoring processor is matched with the relay processor to analyze signals transmitted by monitoring, so that the concentration analysis rate of the algae environment is increased, and the monitoring precision is improved.

Provided is a method for measuring seaweed sugar concentration in biological matrix. The concentration measurement is achieved based on liquid chromatograghy-mass spectrometry combined with pumping-inof auxiliary reagent behind a column. The method comprises the steps that a to-be-measured sample is prepared, specifically, the biological matrix which is quantitatively absorbed is subjected to pretreatment through a protein precipitation method and protein depositions disturbing the measurement of the seaweed sugar concentration are removed; quantitative analysis is carried out, specifically,a to-be-measured sample obtained through a previous treatment is transferred to the chromatograghic column, the auxiliary reagent is pumped behind the column to carry out the liquid chromatograghy-mass spectrometry analysis in a mass spectrometer and a concentration result of nanogram level per milliliter is obtained. According to the method for measuring the seaweed sugar concentration, the situation that the quantitative lower limit of the seaweed sugar quantitative measurement decreases from a microgram per milliliter level to 20 nanogram per milliliter by improving the process of the liquid chromatograghy-mass spectrometry analysis is realized, the sensitivity is significantly improved, the simple and rapid protein precipitation is used to proceed to the pretreatment, processing stepsare apparently simplified, processing time is shortened and the analysis rate is improved.

The invention discloses an energy saving method applied to a mobile crowd sensing network node. A data transfer station is in communication connection with a cloud server; The GPS positioning module is arranged on an AP node; The dormancy module is connected with the AP node to control whether the mobile terminal sleeps or not; The mobile terminal collects node port information of each AP node around the terminal and GPS positioning information of the terminal; the data is fed back to the data transfer station; the data transfer station packages the node port information and the GPS positioning information and sends the packaged information and GPS positioning information to the cloud server; the cloud server compares the GPS positioning information; sending node port information of the APnode, closest to the mobile terminal, on the AP node to the mobile terminal; and the mobile terminal selects the AP nodes corresponding to the node port information for connection, the cloud server sends a dormancy instruction to other AP nodes 50 meters away from the AP nodes, and at the moment, each dormancy module controls the corresponding AP node to enter a dormancy mode.

A big data-based user data processing method and a big data server are provided. User portrait analysis can be performed on to-be-processed user data based on a user data analysis strategy to obtain a user portrait analysis result. Therefore, global and local analysis can be performed on the user behavior data features, so that the difference and relevance of the user portrait in the global level and the local level are considered, and the determined user portrait analysis result can reflect the actual portrait condition of the user from the actual level.

The present invention provides a process for production of high yields of butanol by Clostridium beijerinckii ATCC 10132. The process can be completed in a shorter span of time, using batch process through manipulation of various process parameters. The process can also be used for biomass based production of butanol. This paves the way for the strategic shift of major chemical industries from the hazardous routes of biofuel production to the biological, environmentally benign one.

The invention relates to an entrance guard record query screenshot linkage system based on fingerprint identification. The entrance guard record query screenshot linkage system comprises a fingerprintdetection unit, an entrance guard unit, a camera shooting unit, a central control unit, a reset unit, a recording unit and a central control display. According to the invention, the central control unit controls the reset unit to select the corresponding reset time according to a specified alert level; when the fingerprint detection unit transmits an alarm signal, the reset unit can cut off the power supply to the fingerprint detection unit when the specified reset time is up, thereby effectively preventing the buzzer from continuously buzzing, quickly judging the alert level of the linkage system according to the different buzzing durations of a buzzer, and improving the alert efficiency of the system. Meanwhile, the central control unit readjusts the alert level according to the triggering times of the alarm, and completes the alert level self-adjustment of the system through self-learning, thereby enabling the system to select the most suitable alert level for different environments, and further improving the alert efficiency of the system.

The invention provides a method for determining tris (2, 3-dibromopropyl) phosphate content of water, and belongs to the field of organic phosphate flame retardant. The method mainly comprises the following steps: (1) conducting solid-phase extraction on a sample; (2) eluting and collecting the extraction column; (3) concentrating the eluent obtained in the step (2) to a constant volume; and (4) determining the concentrated liquid with a high-performance liquid chromatograph-triple quadrupole mass spectrometer. The method provided by the invention improves determination method of tris (2,3-dibromopropyl) phosphate in water environment; and through ultra performance liquid chromatograph-triple quadrupole mass spectrometry combination, the method for detecting tris (2,3-dibromopropyl) phosphate method has more advantages than other methods. The present invention using ultra performance liquid chromatograph has larger separation speed than gas chromatograph and general high performance liquid chromatograp; triple quadrupole mass spectrometry for SRM scanning realizes higher selectivity, more accurate qualitative diagnosis, and improved sensitivity. Therefore, the method provided by the invention has obvious advantages compared with other gas-phase method and liquid mass chromatography method.

The invention discloses a method for detecting phenolic compounds in fish, and belongs to the technical field of aquatic product pollution detection. According to the method for detecting phenolic compounds in fish of the invention, an improved QuEChERS method is adopted to extract, enrich and purify a plurality of phenolic compounds in fish; a gas chromatography tandem mass spectrometry method is adopted to qualitatively and quantitatively determine the phenolic compounds in the fish, so that a high-efficiency detection method capable of simultaneously detecting 18 phenolic compounds is established. A method which does not need derivation and can simultaneously and accurately detect a plurality of different phenolic compounds, especially alkylphenol and bromophenol compounds, in fish is developed. With the method disclosed by the invention adopted, 18 phenolic compounds can be simultaneously detected, the average adding standard recovery rate is 81.3%-115.7%, the relative standard deviation is 1.1%-11.3%, and the detection limit is 0.002-0.01 mg / kg.

The invention relates to the technical field of petrochemical engineering development, and provides an online carbon determination system for catalysts in a fluidized bed device, which includes a first catalyst delivery pipe, a burnt measurement reactor, a burnt flue gas delivery pipe, and flue gas Analyzer. The carbon determination system can measure the carbon deposition amount of the catalyst in real time when the fluidized bed device is working continuously, and improve the analysis rate of the catalyst carbon determination, which is fast, convenient and practical. The embodiment of the present invention also provides a fluidized bed device, which includes the above-mentioned online carbon determination system, which can obtain the carbon deposition amount of the catalyst in real time to understand the active state of the catalyst, and improve the working efficiency of the fluidized bed device. In addition, the embodiments of the present invention also provide an online carbon determination evaluation method for catalysts in fluidized bed devices, which can quickly and real-time monitor the state of carbon deposition in catalysts.

The invention relates to a method for rapidly separating pristane diastereoisomers in isoprenoid alkanes. The method is as follows: firstly, a pristane standard product is prepared into a sample with a concentration of 0.05 mg / mL; and then an Agilent 7890 The gas chromatograph is connected to a 7000B triple quadrupole mass spectrometer for GC / MS / MS analysis, each injection volume is 2ul; the chromatographic column uses a 30m×0.32mm×0.25um Rt‑bDEXcst chiral chromatographic column, and the identification of the compound Combined with the characteristic ions of standard samples, relative retention time and NIST 11 spectral library search, a blank sample was inserted between each sample. The present invention is easy to operate, and almost completely achieves the separation of pristane diastereoisomers, thereby ensuring the accuracy of calculating the ratio of biological and geological pristane diastereoisomers, and solving the problem of marine high ‑The difficulty of judging the maturity of over-mature source rocks due to the lack of vitrinite provides technical support for deep-ultra-deep marine oil and gas exploration.

The present application discloses an instance processing method and its device. The method includes: acquiring the diagnosis data of the instance, wherein the diagnosis data includes the diagnosis results at multiple diagnosis time points corresponding to the diagnosis rules of the instance; The diagnostic data is input to the trained instance anomaly detection component to obtain diagnostic information on whether the instance is abnormal, wherein the instance anomaly detection component is a neural network model component that uses time series information modeling processing. By adopting the application, automatic diagnosis of instances can be realized.

The invention discloses a method for detecting phenolic compounds in water, and belongs to the technical field of water pollution detection. The method is as follows: firstly, the pH of the water sample is adjusted to 2.5-3.5, and the solid phase extraction method is used for enrichment; then the phenolic compounds are quantitatively detected by gas chromatography tandem mass spectrometry; and the solid phase extraction conditions are: using HLB solid phase extraction method. The phase extraction cartridge uses ethyl acetate as the eluent; the phenolic compounds include alkylphenolic compounds, bromophenolic compounds and nitrophenolic compounds. The method established by the invention does not need derivatization, simplifies the pretreatment method, is simple in operation, has high accuracy and good repeatability, can simultaneously detect 18 kinds of phenolic compounds in complex water bodies, and the average recovery rate is 77.3-100.6%, which is relatively standard. The deviation was 3.1-7.4%, and the detection limit was 0.04-0.5 μg / L.

The invention provides a time series data mining system which is wide in application range, easy to understand, convenient to operate and suitable for small and medium-sized enterprise competitive intelligence analysis systems. The system comprises an initial data processing module, a time series cluster analysis module, a single time series pattern discovery module and a same-category multiple time series pattern discovery module which are sequentially connected, wherein the initial data processing module acquires time series data in the access time sequence and divides and smooths the time series data; the time series cluster analysis module analyzes the similarity of the received time series data, clusters the time series data with a clustering algorithm and divides the time series data into a first-category time series......an (N-1)-category time series and an N-category time series according to correlations; the single time series pattern discovery module arranges a first-element pattern set......an (N-1)-element pattern set and an N-element pattern set; the same-category multiple time series pattern discovery module calculates time series frequent patterns.

The invention discloses a method for detecting glycoprotein by molecularly imprinted microspheres based on a boric acid fluorescence probe. The method comprises the following steps: with monodisperse poly(glycidylmethacrylate-co-ethylenedimethacrylate) microspheres as a carrier, grafting the boric acid fluorescence probe on the surface of the carrier; with the boric acid fluorescence probe as a functional monomer, and appointed glycoprotein as a template molecule, polymerizing the template molecule with the functional monomer to form a stable prepolymer; and preparing the appointed glycoprotein molecularly imprinted microspheres by adopting a surface imprint technology. The molecularly imprinted microspheres have selective recognition performance on the appointed glycoprotein, are capable of directly detecting the glycoprotein by adopting a fluorescence method, and are relatively simple to operate, and relatively high in detection speed in comparison with traditional mass-spectrography or chromatography detection.