268results about How to "The result is objective" patented technology

The invention relates to a method for rapidly detecting the tea quality through a near infrared technology, which comprises the following steps: irradiating prismatic near infrared light onto detected tea to acquire all the spectral information contained within a near infrared range; preprocessing the acquired spectral information and analyzing the features of the spectral information to find out the relativity of the spectral information and the tea quality, and predicting the internal quality of the tea through a model acquired through analysis. When in detection, a tea sample does not need preprocessing, the internal quality of the tea can be rapidly and conveniently detected, the interference of human factors in a manual evaluation process can be avoided, and a result is more objective and accurate.

The invention discloses a vehicle-mounted emission testing device and a testing method thereof. The vehicle-mounted emission testing device comprises an exhaust mass measurement unit, a pollutant sampling and analyzing unit, a master control unit, a fuel consumption measurement unit and a road load simulation loading device which are arranged on a tested sample vehicle. The exhaust mass measurement unit, the pollutant sampling and analyzing unit, the fuel consumption measurement unit and the road load simulation loading device are all connected with the master control unit. Compared with existing devices and methods in the industry, the vehicle-mounted emission testing device and the testing method can rapidly and efficiently perform vehicle emission testing without depending on relevant information of an electronic control unit of the tested vehicle, and accordingly obtain the emission performance condition of the tested vehicle.

The invention relates to a method for judging the failure properties of shielding failure and counterattack of a transmission line. In the method, a computer is adopted to collect and process data; and for a certain lightning tripping failure of the transmission line, a lightning protection simulation analysis program is adopted and the collected and processed data is applied by the analysis of the computer to perform simulation reduction and comparison analysis on a circuit-failing tower with the lightning tripping to obtain a judgment result based on the data of the transmission line provided by a running unit, circuit tripping failure data and the lightning activity information of a line corridor obtained by the query of a lightning positioning system. The method comprises the following basic steps of: (1) performing collection and clearing-up on the data of the transmission line and the circuit tripping failure data by adopting the computer; (2) querying the lightning activity information in the corridor of the failing tower by utilizing the lightning positioning system; (3) analyzing the lightning protection performance of the failing tower by the computer by utilizing the lightning protection simulation analysis program; and (4) checking the lightning protection performance and judging the failure property. The method is simple, convenient and easy to operate and convenient to popularize and apply, and ensures low cost.

The invention relates to a wind turbine operating state fuzzy synthetic evaluation method based on the Markov chain. Aiming at defects in deterioration degree calculation of a traditional fuzzy synthetic evaluation model, a Markov chain model is built, the variation trend of evaluation index parameters is introduced into the deterioration degree calculation, so that the deterioration degree calculation is more reasonable, and an evaluation result of the overall operating states of wind turbines is more objective and more accurate than a result obtained with a traditional method.

The invention provides a blower fan abnormal data processing method and device based on a quartile box plot. The method comprises steps that (1), blower fan data is read according to a certain format; (2), continuous repeated values of the blower fan data are eliminated; (3), blower fan power abnormal values are determined and processed through utilizing a quartile method; and (4), blower fan wind speed abnormal values are determined and processed through utilizing the quartile method. The method is advantaged in that different form a classic abnormal value identification method, drawing of the box plot is based on actual data, assuming data to be in a specific distribution form in advance is not needed, not any restrictive requirements are made for the data, original appearance of the data shape is simply, truly and visually presented, on the other hand, abnormal value determination standards of the box plot are based on a quartile number and a quartile range, the quartile number has certain resistance effects, up to 25% data can be any far on the condition that the quartile number is not greatly disturbed, so abnormal values have no influence on the standards, and thereby an abnormal value identification result through the box plot is relatively objective.

The invention discloses an urban gas buried pipeline leakage detection and locating method and applications thereof. Based on an acoustic emission technology and combined with the current gas pipeline laying situation of Changzhou city, layout schemes and relevant parameters of sensors are designed, and the leakage detection method under the situation of guaranteeing normal gas transmission of buried pipelines and not excavating pipelines is determined. Simultaneously, wavelet noise reduction and relevant analysis methods are introduced, and accordingly, the locating accuracy is improved, and objective and credible results are obtained. According to the urban gas buried pipeline leakage detection and locating method and applications thereof, the application of the acoustic emission detection technology in gas buried pipeline leakage detection is facilitated and improved to a large extent, and hence, while the method is effective and accurate in detection and cost saving, popularization and use values are increased, and the method has great significances in enhancement of urban gas buried pipeline risk control.

The invention provides a talent evaluation and recommendation system. The system comprises a database module, a data collection module, an evaluation, comparison and analysis module and a report output module; the database module is in communication connection with the Internet and collects, screens and classifies information of talents in different industries; the data collection module is in communication connection with the database module, and according to personnel resume information of evaluatees, designs questions for evaluators, and collects question answering data of the evaluatees online; the evaluation, comparison and analysis module is in communication connection with the database module, analyzes the question answering data of the evaluatees by comparing the data with the information, classified by the database module, of talents in different industries to obtain capability values of the evaluatees, evaluates capabilities of the evaluatees according to the capability values, obtains an capability level interval of the evaluatees according to the capability values, and orders the evaluatees by capability; and the report output module is in communication connection with the evaluation, comparison and analysis module, and outputs an evaluation report according to practical requirements of an employer as well as data analyzed by the evaluation, comparison and analysis module.

The invention discloses a method for predicting a shape and a size of a CMT (Cold Metal Transfer) welding seam based on ANSYS. The method comprises the steps that S1, data during a CMT welding course is acquired; S2, a finite element analysis model is established, and reinforcement of the welding seam is processed; S3, mesh dividing is performed; S4, heat source treatment is performed; S5, a governing equation is established; and S6, an transient temperature field is obtained, temperature field distribution is calculated, a time step is calculated, a self-adaption step is adopted, and the shape and the size of the cross section of the welding seam are obtained according to a calculation result of a welding temperature field, and compared with a full size of the welding seam. The prediction is performed based on the following assumptions that a boundary heat transfer condition and a geometrical shape in a width direction are symmetrical, the heat physical property of a material changes with the temperature, and evaporation of metal in a molten pool is not considered. The method is simple, convenient and quick; influences of various force on the molten pool are considered; a result is objective; very high prediction precision of the shape and the size of the CMT welding seam and detailed information of the temperature distribution of the whole CMT welding course can be obtained; set and optimized parameters can be provided for the welding course; and the applicability is high.

The invention discloses a deafness susceptibility gene mutation detection kit as well as a preparation method and application thereof, and relates to gene mutation detection. The kit comprises a kit body, a cover, a partition, an HHL (Hereditary Hearing Loss) PCR (Polymerase Chain Reaction) mixed liquor bottle A, an HHL PCR mixed liquor bottle B, an HHL PCR mixed liquor bottle C, an HHL PCR mixed liquor bottle D, an HHL enzyme mixed liquor bottle, an HHL standard control bottle, and an HHL negative control bottle. The preparation method comprises the following steps: preparing an amplification reagent and a contrast reagent firstly, arranging the amplification reagent and the contrast reagent in the bottles and finally, obtaining the deafness susceptibility gene mutation detection kit. The kit can be applied to screening of hereditary deafness genes and identification of deafness causing genes, so as to prevent deafness.

The invention belongs to the field of distributed generation power quality of a power distribution network of a power system and particularly relates to a system harmonic probability evaluating method based on the Markov chain Monte Carlo method (MCMC). The system harmonic probability evaluating method based on the MCMC comprises the steps that firstly, a harmonic injection current model of a point of common connection (PCC) is analyzed; secondly, the MCMC is deduced; thirdly, an MCMC sampling algorithm flow for harmonic probability evaluation of the power distribution network is put forward again; finally, typical quintuple harmonics and typical septuple harmonics injected into the PCC of the power distribution system are calculated according to the algorithm flow, based on the MCMC sampling method, for harmonic probability evaluation of the power distribution system, and thus a probability statistics characteristic value and a probability density curve of harmonic injection current of the PCC are obtained. According to the system harmonic probability evaluating method based on the MCMC, the influence of the ratio of linear loads to non-linear loads during different time periods is considered, solution is conducted according to the effective MCMC sampling method, the situation that historical measurement data and experience-based judgment results are excessively depended on is avoided, and thus results can be more comprehensive, more objective and more similar to the actual condition of the power distribution network.

The invention discloses a medical guidance diagnosis display method and system. The display method includes five portions of a basic information input area, a preliminary diagnosis area, a preliminary diagnosis result and guidance information area, a detailed diagnosis area and a medical guidance diagnosis result area, the preliminary diagnosis area includes a symptom information selection area, an associated symptom recommendation area, a symptoms query area, a selected symptom area and a preliminary diagnosis result area, the preliminary diagnosis result and guidance information area includes an area for generation of a relevant department corresponding to preliminary retrieval diagnosis, a severity evaluation area and a disease name area, the detailed diagnosis area includes an area for detailed diagnosis for a guidance range, a detailed description area of the selected symptoms, an associated symptom recommendation area and an area for selection of other symptoms, and the medical guidance diagnosis result area includes areas of associated diseases, drugs, hospitals and doctors. After page information is input, the information is sent to a server software module to be subjected to analysis and operation of intersection, focused retrieval and the like, careful medical guidance is achieved, and a complicated medical diagnosis process is electronized and informationized. The system has the advantages that the medical guidance diagnosis process is objective, convenient to operate and rapid in reaction.

The invention provides an alpha-globin gene mutation detection kit as well as a preparation method and a use thereof, and relates to protein gene mutation detection. The alpha-globin gene mutation detection kit is provided with a box, an amplification reagent bottle and a control reagent bottle; the amplification reagent bottle and the control reagent bottle are arranged in the box. The preparation method comprises the following steps: 1) preparing an amplification reagent which comprises an HBA PCR mixed solution and an HBA enzyme mixed solution; 2) preparing a control reagent which comprises HBA standard control and HBA negative control; and 3) putting the amplification reagent prepared in the step 1) and the control reagent prepared in the step 2) in the box, thereby obtaining the alpha-globin gene mutation detection kit. The alpha-globin gene mutation detection kit can be applied to detecting the alpha-globin gene mutation. The alpha-globin gene mutation detection kit is convenient and fast, capable of detecting a plurality of sites by use of one single reaction, short in time consumption, high in detection flux, high in detection specificity, and easy in result interpretation.

The invention provides a single-point control benefit evaluation method of a road traffic signal. By the single-point control benefit evaluation method, quantized data can be provided, and the controlbenefit of a road intersection signal can be objectively evaluated. The signal-point control benefit evaluation method of the road traffic signal comprises the steps of S1, detecting an index which can represent a traffic running condition of a road intersection; S2, detecting a calculation formula of the index, and calculating a single index value of the index; S3, building a corresponding relation between a single index value range and a value range of a single-point control benefit evaluation index; S4, calculating a corresponding single-point control benefit evaluation index by a linear interpolation method; and S5, evaluating different emphasis points of traffic signal single-point control benefit with regard to different traffic time frames, and setting different weights for each index at different traffic time frames. On the basis of the sum of each single-point control benefit evaluation index and the corresponding weight, the control benefit integral index corresponding to asingle intersection is calculated by employing a weighted mean method.

The invention discloses a system harmonic probability evaluating method based on a Markov chain Monte Carlo method. The system harmonic probability evaluating method comprises the steps of: s1, establishing an h-time harmonic current model generated by individual harmonic with total number of m in a certain class composite load and a general current model of the h-time harmonic of the certain class composite load injected into a PCC point; s2, analyzing uncertain parameters of the current model according to a Bayes formula in a classical theory of statistics, acquiring more objective and accurate unknown quantity posteriori distribution after adjustment through derivation and combining with rough prior distribution of the uncertain parameters; s3, acquiring the Markov chain Monte Carlo method; and s4, arriving at a probability statistics characteristic value and a probability density curve of percentage of each harmonic current according to the Markov chain Monte Carlo method. The results obtained by adopting the system harmonic probability evaluating method based on the Markov chain Monte Carlo method are more comprehensive, more objective and more similar to the actual condition of a power distribution network.

The invention discloses an automatic grading method used in C, Pascal, Fortran and Basic programming subjects. Its steps include: input program (S) designed by students and standard key; respectively analyze grammar and accidence of program (S) and standard key (Ti) and generate system dependency graph (Gs), (Gt.i); Normalize the two graphs; represent the two graphs in syntax tree to eliminate code diversification; match process result in scale, construction, depth and knowledge application four layers; give once matching score (108) and select the highest score from all matching results of (S) and (Ti) as the final score (110). With a full consideration of kinds of grading factors, the invention has a higher precision than manual grading.

The present invention is one dressing suggesting system based on environment sensing capable of proposing dressing suggestion by means of intelligent analysis technology, sensor detection technology and skin detection technology. The system includes a comprehensive information acquiring module, an intelligent information analysis and integration module, and a reference diagram library. The comprehensive information of peripheral environment is first obtained, and then intelligently analyzed to obtain intelligent analysis result for proposing dressing suggestion to the user. The present invention makes it possible for the user to use cosmetics scientifically and reasonably.

The present invention discloses an oscillography-based blood pressure measuring method and device, and aims to acquire accurate blood pressure measuring results. The method comprises sampling pulse wave crests in a pulse wave oscillating curve output by a pressure sensor, the pulse wave oscillating curve being obtained after air cuff pressure is transmitted and processed by the pressure sensor; using a group of sampled crest (xi, yi) as a given data set and fitting a pulse wave amplitude envelope line through a polynomial fitting method; and calculating to obtain a systolic pressure and a diastolic pressure according to a maximum amplitude method and the pulse wave amplitude envelope line. The conventional blood pressure measuring methods are easily influenced by subjective factors and objective environments, but the blood pressure measuring method provided by the present invention is more scientific and is not easily influenced by subjective factors or objective environments, and the obtained measuring results are accurate and objective.

The invention discloses a molecular probe for detecting African swine fever virus, a kit and application thereof, so as to solve the technical problems of poor reliability and poor practicability of the existing detection technology. The nucleotide sequence of the molecular probe for detecting African swine fever virus is shown as in SEQ ID NO.2. An RT-PCR reaction solution for detecting African swine fever virus is prepared, lyophilized powder for the RT-PCR reaction solution for detecting African swine fever virus is prepared, an African swine fever virus detection kit is prepared, and an African swine fever virus qualitative and quantitative detection method is provided. The designed molecular probe and the built RT-PCR detection method have the characteristics of high sensitivity, goodrepeatability and strong specificity, the reliability and the usability of ASFV detection by the PCR technology are improved, pollution-free and high-flux detection is realized, and ASFV nucleic acids in susceptible animals and related animal products can be detected.

The invention discloses a three-dimensional display asthenopia detection system and method. The three-dimensional display asthenopia detection system comprises three-dimensional display equipment, flicker fusion critical frequency (CFF) measuring equipment, near point distance (NPD) measuring equipment and a data processing unit, wherein the CFF measuring equipment is used for collecting a CFF when a user watches three-dimensional display and transmitting the CFF to the data processing unit, the NPD measuring equipment is used for collecting a NPD when the user watches the three-dimensional display and transmitting the NPD to the data processing unit, the data processing unit comprises a three-dimensional asthenopia prediction model, and the three-dimensional asthenopia prediction model predicates the three-dimensional asthenopia of the user according to the input CFF and the NPD. The three-dimensional display asthenopia detection system and method can rapidly detect the asthenopia degree caused by three-dimensional display, and can be used for evaluating three-dimensional display equipment and content and guiding equipment to produce and manufacture comfortable three-dimensional resources and the like.

The invention discloses a method for simultaneous determination of various fat-soluble vitamins in serum by using a semi-automatic sample treatment liquid chromatographic technology; the HPLC method is adopted, and the chromatographic conditions comprise that a mobile phase A is a 0.05% trifluoroacetic acid aqueous solution, a mobile phase B is a 0.02% trifluoroacetic acid methanol-ethanol mixed solution, and gradient elution is adopted; the various fat-soluble vitamins are selected from vitamin A, vitamin D2, vitamin D3, alpha-tocopherol, beta-tocopherol, gamma-tocopherol, delta-tocopherol, K1, K2 or Q10. Through optimization of a sample pretreatment method and high performance liquid chromatographic conditions, the method for simultaneous determination of the various fat-soluble vitamins in the serum is established, can carry out precise qualitative and quantitative analysis, is a detection method having the advantages of simple and fast sample processing, high flux, reliable result and low cost, has the advantages of strong specificity, high sensitivity, simple operation, low cost and the like, has easily analyzed and objective results, and is especially suitable for clinical popularization and application.

The invention belongs to the technical field of ultrasonic medicine and particularly relates to a hepatic fibrosis degree Fisher identification method based on an ultrasonic radio frequency (RF) time sequence. The method includes that first, a broadband ultrasonic linear array probe is used for scanning a living hepatic tissue, and multi-frame ultrasonic echo RF signals are recorded; a certain frame of B type pattern is demodulated and displayed, a region of interest (ROI) is selected, all frame RF signals of each point in the ROI are taken to form the ultrasonic RF time sequence; SMR fractal dimension mean values and a plurality of characteristic parameters of the RF time sequence in the ROI are extracted, the 7 features are extracted for a large amount of normal and fibrosis hepatic samples, Fisher distinguishing rate of each feature parameter is collected and obtained, the normalization Fisher distinguishing rate is used as the weight of a new input sample corresponding feature parameter, and the absolute value of each feature parameter of a new sample is weighted and summed to obtain Score-fisher. The hepatic fibrosis degree Fisher identification method based on the ultrasonic RF time sequence is brought up for the first time and provides quantification reference for clinical hepatic fibrosis diagnosis and dynamic monitoring.