40results about How to "Overcome one-sidedness" patented technology

The invention discloses a built-in intelligent failure diagnosis device based on data fusion mode recognition in the technical field of intelligent diagnosis of rail transport failure, which comprises a hardware structure and a software structure. The diagnosis device adopts high-speed DPS microprocessor and forms a distributive monitor processing system, that is, a two-level microcomputer structure with a supervisory machine and a subordinate machine with the help of a multiple-stage buffer and streamline mechanism in the high-speed data processing of the former. Besides, in coordination with sensor group information based on data fusion mode recognition and with the help of multiple neural network partial diagnosis and a decision-making level fusion mode recognition and intelligent diagnosis mechanism, the invention is able to realize the data storage, image display and long-distance data transmission, so as to complete the task of failure diagnosis. Therefore, the invention is able to detect the potential failure of key equipments for train, ensure the safety and reliability for the operation of key equipment in train and improve the operation efficiency and safety guarantee to the maximal extent.

The invention relates to an information system security risk assessment model based on a combined assessment method. The model integrates the advantages of qualitative analysis and quantitative analysis, defines a reasonable index hierarchical structure and an algorithm flow and has a core idea of collecting current risk assessment methods into a method base. In assessment, data envelopment analysis (DEA) based on fuzzy comprehensive evaluation is firstly used to screen out a plurality of methods aiming at the highest performance value of an assessment system, and then the assessment results of the screened methods are combined according to fuzzy analytic hierarchy process (FAHP) to solve the problem of inconsistent result of assessment by a plurality of methods and achieve the goal of more scientific and reasonable assessment for information system risk grade.

The invention discloses a behavioral model-based software security test case generation method, which comprises the following steps of: (1) determining software security test needs; (2) describing the security test needs by using a test need behavioral model; (3) describing the test need behavioral model by using a unified modeling language (UML) state chart; (4) transforming the UML state chart into a finite state machine (FSM); and (5) automatically generating a security test case based on a characteristic sequence of the FSM. In the behavioral model-based software security test case generation method provided by the invention, security test is performed primarily from a software security defect (SSD) behavior prevention mechanism, an SSD behavior detection mechanism and an SSD behavior response mechanism, so that the one-sidedness and need imperfection of conventional software security tests are overcome and the test effectiveness is ensured. Simultaneously, the test case automatic generation method provided by the invention reduces the workload of testers, improves the efficiency and level of automation of the test and ensures test effects.

The invention discloses a method for carrying out optimal identification on an urban public transportation system by use of taxi GPS data. The method comprises steps of obtaining rigid demand places and non-rigid demand places of multiple taxi pick-up points of taxis; carrying out space cluster analysis on the rigid demand places so as to obtain outstanding clustering regions and selecting a newly added stop position comparing a current public transportation system; and identifying unnecessary taxi businesses, counting up unnecessary taxi business quantity among all bus stations, constructing taxi business quantity source-target matrixes among the bus stations; and identifying bus station regions where transferring convenience should be truly optimized. According to the invention, by adopting an analysis means of a geographic information system, taxi pick-up and drop-off hot regions are excavated from mass data of urban taxi GPS and operation states; and by comparing route planning and station distribution of public transportation systems, design defects for resident requirements in public transportation systems in a current urban spatial layout are identified and decision basis is provided for optimization and construction of urban public transportation systems.

The invention relates to a flora construction method for residual oil gasification exploitation of an oil deposit. The method comprises the following steps of: 1, acquiring an output liquid sample of a producing well of the oil deposit or an active sludge sample polluted by crude oil; 2, adding a hydrocarbon-containing culture medium in the output liquid sample or active sludge sample for carrying out anaerobic enrichment culture; and 3, transferring an enrichment culture obtained in the step 2 into the same hydrocarbon-containing culture medium for carrying out anaerobic culture until the methane is generated. Compared with the prior art, the method can be used for fully utilizing microorganisms in the oil deposit and obtaining the flora which can be used for producing methane through anaerobically degrading hydrocarbon and adapt to the oil deposit environment by directional enrichment, overcomes the deviation and the one-sidedness of the traditional method for manually combining theflora, and lays a foundation for the residual oil gasification development of the oil deposit.

The present invention provides a displacement monitoring system for a tower, the displacement monitoring system includes a tower displacement monitoring terminal and an underground displacement monitoring terminal electrically connected to the tower displacement monitoring terminal, the tower displacement monitoring terminal is arranged on the tower and includes a main control module, an overground tower displacement sensor, a power supply module and a communication module, wherein the overground tower displacement sensor, the power supply module and the communication module are electrically connected to the main control module respectively, the underground displacement monitoring terminal is arranged on an underground bedrock and includes a controlling module and an underground displacement sensor electrically connected to the controlling module. According the technical solution, displacement sensors are used to monitor the displacement values of the tower and the bedrock respectively, then the displacement value of the tower relative to the bedrock is computed based on the displacement values of the tower and the bedrock, this technical solution overcomes the one-sidedness of only monitoring the incline angle of the tower, and is a more comprehensive monitoring solution. Thus the displacement value of the tower can be accurately monitored on line, the actual state of the tower can be monitored, and therefore it is beneficial for further plan and build of national grid.

The invention discloses an intelligent pulse diagnosis method based on a three-dimensional pulse wave image. The method comprises the following steps: collecting multi-point pulse waves in the range of inches, cuts and feet of a patient at the wrist of a human body; constructing the digital dynamic three-dimensional pulse wave image according to the obtained multi-point pulse wave, using the obtained digital dynamic three-dimensional pulse wave images to carry out automatic disease diagnosis; and storing and displaying the raw data and diagnostic results. The invention can capture other smallcharacteristic signals in the target range besides the three points of the inch, the close point and the ruler, and automatically extract the space by using the depth learning model. Temporal association features are used to automatically judge the disease type.

The invention relates to a lithium ion battery performance online diagnostic method, which solves the problems that a battery evaluation method in the prior art is low in real-time performance and practicality and the analysis is one-sided. The lithium ion battery performance online diagnostic method comprises the steps of: determining weight of each index which affects performance of a battery; acquiring an original matrix and a reference matrix according to a detection value of each index of the battery, and standardizing the original matrix and the reference matrix; then using grey correlation analysis to calculate correlation coefficients of the indexes of the battery according to the standardized original matrix and the standardized reference matrix; calculating correlation degrees of the batteries; and diagnosing performance of each battery according to the correlation degree. The lithium ion battery performance online diagnostic method diagnoses the battery performance by adopting the gray correlation theory for various kinds of indexes of the battery, overcomes the one-sidedness of taking a single index as an evaluation criterion, and provides a reliable theoretical basis for the performance diagnosis and maintenance of the battery.

The invention relates to a reservoir stratum analysis method using pore structure parameters. The method comprises a first step of performing rock core sampling on a target layer and measuring to obtain a plurality of pore structure parameters; a second step of acquiring a pore degree and permeation rate data of a full hole section of the target layer, and acquiring a specific value curve of the permeation rate and the pore degree of the full hole section; a third step of fitting each measured pore structure parameter in the first step; a fourth step of selecting the pore structure parameter having high fitting degree in the third step and a fitted function relation of the pore structure parameters; a fifth step of calculating to obtain an instruction curve of the optimized pore structure parameters of the full hole section of the target layer; a sixth step of establishing a calculation formula of a pore structure instruction curve (Rc); and a seventh step of calculating a pore structure instruction curve of the full hole section of the target layer, so as to analyze the target layer of the full hole section. The invention also relates to an application of the method in exploration of oil and gas.

The invention relates to the technical field of medicines and in particular relates to a traditional Chinese medicine composition with effects of clearing heat, relieving pain and eliminating tumors. The formula consists of the following main components in parts by weight: 3-5 parts of alga, 2-4 parts of albumen powder, 1-3 parts of pseudo-ginseng and 0.05-1.5 parts of musk. A product prepared from the medicine composition has the functions that pain of cancer patients can be relieved, injuries on human body, physiological functions and immune systems of patients are avoided, the possibility of diffusion and metastasis caused by cancer cell infiltrated muscular layer, blood vessels and lymph-vessels is eliminated, the drug resistance and tolerance of cancer cells are avoided, the toxic and side effects of the medicine are reduced, the processes of generating body hormones, subsequently maintaining the immunity, realizing aerobic transfer of nutrient substances and generating and intensifying hemoglobin and blood platelets in the treatment process and after healing are ensured, and the cancer cure rate and remission rate are further increased.

The invention discloses a super-pixel-based flexible IC substrate color change defect detection method and device. The method comprises the following steps: acquiring a flexible IC substrate source image of which the color change defect needs to be detected; preprocessing the flexible IC substrate source image; and inputting a superpixel image obtained after segmentation into an energy function to judge the color change defect of the flexible IC substrate. According to the method, for the flexible IC substrate source image of which the defect needs to be detected and the image of which the ROI area is extracted after preprocessing, super-pixel image segmentation is carried out, the color change defect of the flexible IC substrate is judged through an energy function on the basis of the super-pixel image obtained through segmentation, the color change defect in the flexible IC substrate can be rapidly, accurately and comprehensively extracted, and the defect detection accuracy of the flexible IC substrate is improved. And the phenomenon of misjudgment of the discoloration defect caused by the discoloration defect located at the edge or an overlarge discoloration area is avoided.

The invention discloses a building steel structure safety and stability intelligent monitoring method based on big data analysis and a cloud monitoring platform, and the method comprises the steps of: carrying out steel structure layer division and node statistics of a building steel structure frame, and acquiring the current position three-dimensional coordinate and the original position three-dimensional coordinate of each node; counting the offset displacement of each node of each steel structure layer, screening out a dangerous offset steel structure layer and the corresponding dangerous offset node, acquiring the plane scanning image of each steel structure layer, comparing the plane scanning image with an original plane scanning image, counting the recess approximate area corresponding to each recess area of each recess steel structure layer, thus counting the safety and stability coefficient of the building steel structure. The defects of one-sided performance, low accuracy and low reliability of the existing monitoring means for the safety and stability of the building steel structure are overcome, the monitoring accuracy and reliability are improved, and the comprehensive and precise monitoring requirement for the safety and stability of the building steel structure is greatly met.

The invention discloses a device for comparing a plurality of photos of the same user, and relates to an image identification and comparison technology. The device comprises a photo module, an intermediate module, an identification module and a result module. The photos of the same user are compared, so that the shortcoming of one-sidedness of comparison of only one photo can be effectively overcome, the influence of the quality of a certain photo is avoided, the matching rate of photo comparison is increased, and the device is convenient to use.

The invention discloses a small and medium-sized enterprise credit data mining method, relates to the technical field of big data and credit evaluation, and achieves small and medium-sized enterprisecredit data mining based on automatic feature engineering. Original credit feature data in a small and medium-sized enterprise training sample feature data set is preprocessed. Then, a feature subsetis formed through feature distance calculation, and feature linear combination and feature nonlinear combination are conducted on the feature subset; original credit features which are only subjectedto data preprocessing processing, linear combination features which are subjected to feature linear combination processing and nonlinear combination features which are subjected to feature nonlinear combination processing are taken as a training feature set, training is performed to form a baseline model, and feature importance sorting is performed according to a training result; features with predicted value are selected. The method can improve the credit feature mining efficiency of small and medium-sized enterprises, reduces the manual intervention, improves the effectiveness of credit feature mining results of small and medium-sized enterprises, and improves the credit evaluation accuracy of small and medium-sized enterprises.

The invention discloses a method of evaluating the working condition of insulating oil of a power transformer. The method is characterized in that a mathematical relationship between temperature parameters and dielectric loss factors is established by measuring corresponding dielectric loss factors tgdelta of the insulating oil at two temperature points of 70 DEG C and 90 DEG C, as well as the equally spaced temperature points from 70 DEG C to 70-90 DEG C, so that a coefficient of the mathematical relationship is obtained; the coefficient can reflect a linear trend corresponding to the mathematical relationship to the maximum extent; and then the numerical range of the coefficient is analyzed to evaluate the working condition of the existing insulating oil. According to the method, the working condition of the insulating oil of the transformer can be known in advance, so that abnormalities of the insulating oil can be found in advance for tracing and detecting with pertinence, and thus, hidden dangers can be eliminated as early as possible to achieve safety in use. Furthermore, the method is simple and convenient to operate, fully and specific, high in accuracy and high in degree of intelligentization, and provides a reliable scientific basis for normal operation and maintenance of transformer equipment.

The invention discloses a bubble volume measurement method based on Delaunay triangulation. The bubble volume measurement method is characterized by comprising the steps that 1) a point coordinate a (x,y,z) on a single bubble in a gas-solid bubble bed at a certain moment is obtained to form a data point cloud A, of which the scale is n, of the single bubble; 2) the Euclidean distance of any two points in the data point cloud A is calculated to obtain a total Euclidean distance matrix M; 3) normal vectors of all the data points in the data point cloud A are obtained; 4) Delaunay triangulation is carried out on the data point cloud A to obtain a tetrahedral set Ttra containing subdivision results; 5) positive directions of the normal vectors of all the data points in the data point cloud A are determined; 6) an in-vitro tetrahedron in the tetrahedral set Ttra is removed to obtain the bubble volume.

The invention relates to the technical field of equipment test and identification, in particular to an equipment combat effectiveness evaluation method based on similarity and similarity mechanisms. The method comprises the following steps: 1) adopting multi-stage three-dimensional data description of combat effectiveness evaluation, firstly constructing a combat effectiveness evaluation index system, 2) establishing a combat effectiveness evaluation basic principle based on a similar mechanism and 3) establishing a combat effectiveness evaluation model based on the similar mechanism and the similar mechanism. According to the method, starting from the connotation requirement of equipment combat effectiveness evaluation, the proximity relation of the index sequence curve and the combat mission demand curve in position can be well measured through the combat effectiveness evaluation method based on the distance connotation, and the shape similarity performance between the two sequence curves is well measured through the grey relational degree. The method is a new evaluation method for reflecting the relative approaching degree and the comprehensive approaching degree of the combat effectiveness index data sequence approaching the combat mission demand data sequence, so that the dynamic evaluation of the combat effectiveness of the multi-task stage equipment is realized based on the approaching mechanism and the similar mechanism.