63results about How to "Analysis results are intuitive" patented technology

The invention discloses a comprehensive evaluation method for the operating state health degree of a direct-current system for a station. The method includes the following steps that: A, an evaluationindex system taking factors such as equipment health, operation defects, service life, voltage and current operating status of the direct-current system into consideration is built; B, index values are obtained through statistical calculation, and the index values are standardized and normalized; subjective and objective weights are calculated on the basis of an improved analytic hierarchy process and standard deviation and average difference algorithms; and D, and two quantitative evaluation results of the operating state health degree of the direct-current system to be evaluated are obtained through a linear weighting method. According to the comprehensive evaluation method, an evaluation process takes into account not only the subjectivity and objectivity of evaluation, but also embodies the degree of the importance of different evaluation indexes on the evaluation results; the evaluation results tend to be more reasonable and can better distinguish the change process of the healthdegree of the operating state of the system in a more microcosmic and detailed manner; and quantitative basis can be provided for optimal decision-making in the maintenance and repair programs of thedirect-current system.

The present invention discloses a computer data acquisition, processing and analysis system which comprises a multi-mode data acquisition module, a man-machine operation module used for inputting various analysis requirements and information call command, a data processing module, a central processor, a physical model establishing module, a dynamic hard spot table construction module, a parameterized model construction module, a virtual actuator, a virtual sensor and an analysis method database. Analysis complexity can be reduced, workload for data analysis is reduced, various different analysis requirements can be satisfied, and the analysis result is more visual.

The invention provides a radar signal data acquisition and analysis system and an analysis method thereof, which belong to the technical field of primary radar signal monitoring and analysis. The system at least comprises an optical fiber collector, a signal processing server, a signal processing analysis server and a displayer, so that the function of guiding signal processing server parameter optimization and problem positioning is achieved while the algorithm flow of the signal processing server is analyzed in real time. Another object of the invention is to provide an analysis method applying the system, so that the stability and the reliability of data analysis of the whole radar signal processing system are further improved. A signal processing server receives a distance and direction data packet. The original I/Q data, clutter maps, filtering waves, and trace data of the four adjacent CPIS are extracted for storage. The signal processing and analyzing server processes the abovedata, and finally the analysis result is feedback to the signal processing server.

The invention discloses a chip for screening pospiviroid viroid and application of the chip. A probe group identifying or assisting in identifying the pospiviroid viroid consists of 19 probes, and the nucleotide sequences of the 19 probes are the sequences from 1 to 19 in a sequence table respectively. The invention also provides a gene chip for screening the pospiviroid viroid, which is obtainedby fixing the probe group on the surface of a chip base. The experiment proves that the nucleotide sequence of the pospiviroid viroid is analyzed by a bioinformatics method, the compatible probes of the group are designed, and the standard viroid sample verification result indicates that a probe effect is good. The chip for screening the pospiviroid viroid disclosed by the invention can be applied to the quarantine identification of the pospiviroid viroid.

The invention discloses a chip for screening Pelamoviroid and an application thereof. The invention provides probes for identification or assistant identification of Pelamoviroid, comprising nine probes, nucleotide sequences of the nine probs are respectively the sequence 1-9 in the sequence table. The invention also provides a gene chip for screening Pelamoviroid, and the gene chip is obtained by fixing the probes on the surface of a film base. Experiments of the invention prove that by analyzing the nucleotide sequence of Pelamoviroid through using bioinformatics methods, the compatible probes are designed, and the results of verifying standard viroid samples prove that the probes have good effect. The chip for screening Pelamoviroid disclosed herein can be used for quarantine and identification of Pelamoviroid.

The invention discloses a chip for screening coleus scutellarioides viroid and application of the chip. A probe group identifying or assisting in identifying the scutellarioides viroid consists of 6 probes, and the nucleotide sequences of the 6 probes are the sequences from 1 to 6 in a sequence table respectively. The invention also provides a gene chip for screening the scutellarioides viroid, which is obtained by fixing the probes on the surface of a chip base. The experiment proves that the nucleotide sequence of the scutellarioides viroid is analyzed by a bioinformatics method, the compatible probes of the group are designed, and the standard viroid sample verification result indicates that a probe effect is good. The chip for screening the scutellarioides viroid disclosed by the invention can be applied to the quarantine identification of the scutellarioides viroid.

The invention provides an analysis method and system for quantifying influence of characteristic indexes on labels, medium and terminal and the method comprises the steps: obtaining sample data, calibrating the sample data, building a quantitative influence model according to the calibrated sample data, and training the quantitative influence model; wherein the quantitative influence model comprises a first quantitative influence model used for carrying out regression prediction on label influence according to the quantitative characteristic indexes and a second quantitative influence model used for data matching analysis; selecting a first quantitative influence model or a second quantitative influence model according to a sample data volume and a service demand, obtaining an influence quantitative value, and completing analysis of the influence of the quantitative characteristic index on the label; By expansion selection of multiple basic models and construction of a comprehensive scoring system, a prediction result can be more accurate, through data matching analysis, an analysis result is more visual and is more closely related to reality, and the invention is not limited to abnormal quantitative analysis, has universality and is beneficial to helping a user to optimize regulation and control.

The invention relates to the technical field of customer analysis, and discloses a big data-based customer analysis system, which comprises a big data server, and is characterized in that the input end of the big data server is electrically connected with the output end of a cloud computing platform, and the input end of the cloud computing platform is electrically connected with the output end ofa data acquisition module; the data acquisition module is in communication connection with a client terminal, the cloud computing platform comprises a data storage module, a data management module and a data analysis module, and the data storage module, the data management module and the data analysis module are electrically connected with the cloud computing module; and the output end of the bigdata server is electrically connected with the input end of the data visualization terminal. Data analysis of the whole system is systematic and perfect, high-quality analysis results can be guaranteed by processing the data through standardized processes and tools, and enterprises correspondingly adjust marketing schemes and plans of the enterprises according to the data analysis results.