65results about How to "Simplify complex issues" patented technology

The invention discloses a method for generating a quadrilateral finite element grid based on a three-dimension entity model, which is applicable to the preprocessing stage of the finite element analysis. The method comprises the steps of encapsulating a three-dimension entity model in a cuboid containing box adapting to the shape of the model, subdividing the cuboid containing box into a certain quantity of cubic units, deleting the cubic units disjointed with the surface of the three-dimension entity model, dividing each cubic unit intersected with the surface of the three-dimension entity model into six mutually independent quadrilateral facets, deleting quadrilateral facets intersected with and arranged in the three-dimension entity, projecting four nodes on each quadrilateral facet arranged outside the three-dimension entity model onto the surface of the model and combining four new nodes obtained after the projection into a new quadrilateral facet, combining all the quadrilateral facets to obtain the quadrilateral grid of the three-dimension entity model and storing the generated quadrilateral grid data into a user-defined data file in the DPM format.

The invention discloses a structuring method of relation model of the resistivity and temperature and the unfrozen water of frozen earth. The method comprises, firstly, preparing experimental equipment; secondly, performing drying condition experiments to obtain the relation between positive-temperature earth sample resistivity and instant moisture content; thirdly, performing freezing condition experiments to obtain the relation between negative-temperature earth sample resistivity and temperature; fourthly, performing relation reasoning of frozen earth unfrozen water content of different initial moisture contents and temperature at negative temperatures; lastly, establishing a relation model of the resistivity and temperature and the unfrozen water of frozen earth. The structuring method of relation model of the resistivity and temperature and the unfrozen water of frozen earth is simple in process, convenient to implement, capable of simplifying detection of frozen earth water content, accurate in measuring results, high in practicality, good in application effects and easy to popularize.

The invention relates to an aspect-oriented cloud storage engine construction method. The aspect-oriented cloud storage engine construction method includes steps of 1, constructing a data access layer by design personnel according to the adopted type of database; 2, realizing aspect processing for data in the database by the design personnel; 3, analyzing service request by the design personnel, and operating aspect of the data to obtain aspect data; and 4, constructing a cloud storage engine on the basis of the aspect data constructed in the step 3 by the design personnel. Compared with the prior art, the aspect-oriented cloud storage engine construction method has the advantages that the concept of the data access layer is newly added into an existing cloud storage framework, the data access layer realizes the aspect processing for the data by the aid of the idea of aspect-oriented programming, data retrieval and data management efficiency is greatly improved, and complexity of data heterogeneity during processing of relational data and non-relational data is reduced.

The invention discloses a side slope slippage stability judgment method taking non-saturated region effect into consideration. The method comprises the following steps (1), obtaining morphological characteristic information for researching a side slope and geological and hydrological parameters corresponding to side slope soil; (2), obtaining an initial condition in the side slope through segmented point obtaining actual measurement or through utilization of a side slope initial boundary condition simulation method; (3), simulating a subsequent hydrological process in the side slope accordingto corresponding change of a side slope boundary condition under side slope induction factor effect, and obtaining a water line in the side slope at each time; (4), calculating a real-time side slopestability coefficient through utilization of a side slope stability safety coefficient calculation formula, and drawing a side slope minimum stability safety coefficient change flow line; and (5) analyzing the earliest unstability time and a corresponding unstability area of the side slope according to the side slope minimum stability and security coefficient change flow line. According to the method, a relatively accurate real-time stability safety coefficient calculation result can be obtained, the method is used for judging stability of the side slope and predicting unstability time, and arelatively effective reference model for prediction and prevention of a side slope disaster is provided.

The invention provides a multi-platform joint task planning method for complex observation tasks. The method comprises the steps of preprocessing complex observation tasks and obtaining a plurality ofsubtasks corresponding to the geographic grids; constructing a multi-platform joint task planning model; substituting the plurality of sub-tasks preprocessed in the step 1 into a multi-platform jointtask planning model for solving; depending on solving results, outputting a task sequence of decomposing a complex observation task on each observation platform; according to the method, task preprocessing, optimal modeling, swarm intelligence and machine learning are organically combined, so that complex problems are simplified, experiments show that the multi-platform joint task planning time for complex observation tasks can be shortened to the minute level from the hour level, and the planning efficiency of multi-type observation platforms is effectively improved.

The invention discloses a transforming method of random space vector PWM strategies. When a randomized PWM strategy ST1 is transformed into a randomized PWM strategy ST2, a random number matrix of the ST1 is generated, calculation is carried out to obtain a digital signal SIG1 of an output voltage of an inverter, and a spectral characteristic value of the SIG1 is calculated; all elements of a random number matrix RS2 of the ST2 are set as unknown variables, an expression of a digital signal SIG2 of the output voltage of the inverter is calculated, and then a mathematic expression of a spectral characteristic of the SIG2 is calculated; and then a target function of transformation from the ST1 to ST2 is constructed and optimization is carried out, thereby obtaining a numerical value of the RS2. According to the technical scheme, mutual transforming between different random SVPWM strategies can be realized and the complex strategy can be transformed into the simple one; application of the random SVPWM technology and development of the new strategy can be realized conveniently; and thus the method has the great practical value.

The invention discloses a method for calculating settlement of a composite single pile of a post-grouting cast-in-place pile of an extruded and expanded branch discextruding and expanding branch disc.The invention, belongings to the technical field of building pile foundations. The invention provides a method for calculating settlement of a composite single pile of a post-grouting cast-in-place pile of an extruding and expanding branch disc. The adopted scheme is as follows: the method comprises the steps of 1. Tthe grouting cast-in-place pile is a single pile after the branch disc is extruded and expanded; or the piles are single-row piles, or the center distance of the sparse pile foundation is greater than 6 times of the pile diameter; pile foundation settlement calculation of the cast-in-place pile considers the influence of load sharing of foundation soil at the bottom of a bearing platform on pile foundation settlement. The settlement of the grouting pile composite single pile behind the squeezed branch disc is calculated as follows: the settlement is calculated as follows; superposing additional stress generated by calculation points of bearing platform bottom foundation counterforce and post-grouting cast-in-place pile side resistance and end resistance on a pile body axis below a pile end plane, calculating the settlement of a pile foundation by adopting a one-way compression layering summation method, and counting the pile body compression amount of a section part from a pile top to an upper disc top; the method is suitable for the field of settlement calculationof building pile foundations.

The invention belongs to the technical field of electric power, and particularly relates to an integrated energy system steady-state modeling method based on an energy concentrator. The innovation ofthe method is as follows: 1) the method can be used for analyzing trans-regional, regional and user-level comprehensive energy systems, and has better applicability, universality and expandability; 2)the supply and demand characteristics of various energy sources are highly abstracted into energy source input and output balance consideration, and energy source coupling characteristics are described through elements in a coupling matrix, so that unification of physics and mathematics is realized; 3) the energy concentrator reflects the idea of energy equivalence, the energy coupling quantity can be converted into the output of a single energy system through an energy matrix, the decoupling of the coupling system is further realized, and the complex problem is simplified; and 4) the model not only can perform abstract modeling on the existing comprehensive energy system, but also can be used as an energy autonomous unit or a generalized node in an energy network to provide theoretical guidance for planning analysis of the comprehensive energy system.

The invention discloses a batch test method for semiconductor chips based a grayscale map of fault data. The method comprises the steps of 1) construction of a test data matrix X in which each batch comprises m chips, each chip includes n test parameters, test data of the batch includes m*n variable data, and the m*n test data matrix X is formed; 2) determination of quality classification and intervals in which quality classification and parameter intervals of each test parameter of the chip are determined; 3) coloring the test data matrix X according to quality classification and converting the matrix into a quality level matrix Q; 4) construction of the grayscale map of fault data in which each element in the quality level matrix Q serves as one element in a 2D planar image, and the grayscale map of fault data of the batch of chip test dataset is obtained; and 5) rapid chip quality level and defect parameter identification according to the grayscale map of the fault data. According to the method, test data of the semiconductor chips can be analyzed in a batch manner, the chip quality is leveled and sorted rapidly, and the chip defects are analyzed rapidly.

The invention discloses an intelligent controller, and particularly relates to an intelligent controller for an external straw bioreactor for protective land production and conversion from straws to carbon dioxide gas fertilizer. The intelligent controller for the straw bioreactor structurally comprises an air supply control system, a switch, a liquid discharge control system and a water level sensor, wherein the air supply control system sends working instructions to an air supply motor according to various different switch instruction; the switch sends working instructions to the air supply control system under different working conditions; the liquid discharge control system sends working instructions to a liquid discharge pump according to signals sent by the water level sensor; and the water level sensor transmits working signals to the liquid discharge control system after the water level reaches a set value. The intelligent controller has the characteristics of convenient setting, simple operation, convenient use, intelligence, high efficiency, small volume, flexible and convenient operation and safe use, and can greatly simplify the management program, simplify complex problems, enable a user to quickly master the management technical point of the straw bioreactor and reduce the production cost of the protective land of the user.

The invention discloses a civil aviation emergency causal relationship analysis method based on a Bayesian network. The method comprises the steps of firstly establishing a civil aviation emergency management field ontology as a Bayesian network model, and dedarizing the Bayesian network to obtain a Markov network; and then initializing the Markov network and iteratively optimizing the Markov network, taking the Markov network optimized in the last iteration as an optimal Markov network, and using the optimal confidence coefficient of each node in the optimal Markov network to evaluate the probability of the causal relationship of the civil aviation emergency. According to the method, the V-shaped structure in the Bayesian network is changed, the message transmission rate in the Markov network is increased in the reasoning process, and the causal relationship calculation complexity in a large-scale network is reduced; in the Markov network reasoning process, a cyclic confidence coefficient propagation algorithm is improved in combination with a differential privacy model, and the leakage of sensitive information during causal relationship reasoning in the civil aviation field is avoided.

The invention belongs to the field of deep foundation pit engineering, and discloses a lateral rigidity enhancing structure of an open section of a subway entrance. The lateral rigidity enhancing structure comprises a bottom slab, two main body side walls, top beams, two rows of fender posts, ring beams and joint bars. The two main body side walls are arranged on the bottom slab, and a U-shaped structure is formed by the two main body side walls and the bottom slab jointly. The tops of each row of fender posts bear the corresponding top beam, and the top of each top beam is flush with the top end face of the corresponding main body side wall of the U-shaped structure. Each main body side wall and the adjacent top beam jointly form a ring beam bearing structure. Each ring beam bearing structure bears the corresponding ring beam. The top beams and the ring beams are connected through the multiple joint bars. The lower ends of the joints bars are anchored into the top beams, and the upper ends of the joint bars stretch into the ring beams. The lateral rigidity enhancing structure has the advantages that construction is convenient and fast, the amount of steel bars is small, investment is reduced, and structure safety and the waterproof effect are guaranteed, and has great application prospects in the field of deep foundation pit engineering including subways.

The invention discloses a method for detecting the content of unfrozen water in frozen soil. The method comprises the following steps: 1, connecting detection equipment; 2, carrying out data acquisition and transmission; and 3, processing data to obtain the unfrozen water content of the frozen soil. The frozen soil unfrozen water content prediction neural network model is adopted for data processing, the detection result can be directly obtained when detection data are input, the method is simple in step and convenient to implement, and the method can be used for frozen soil unfrozen water content measurement based on the resistivity, temperature and humidity of frozen soil. The method can simplify the complex problem of unfrozen water content detection of frozen soil, and is accurate in measurement result, high in practicability, good in use effect and convenient to popularize and use.

The invention relates to a low-salt water taking scheduling method for estuary regions. The method comprises the following steps: when predicting the salinity of a low-salt estuary, breaking through traditional daily average salinity prediction; carrying out time-by-time salinity research, meanwhile, introducing a gamma function to generate a historical weight effect, and innovatively introducinga logistic regression mode, so the complex problem of time-by-time salinity prediction is simplified, the method is characterized in that the method is simple, convenient, practical and innovative, and a more convenient reference model is provided for research of the salt tide upstream problem.

The invention belongs to the technical field of mining and particularly relates to an ionic rare earth mining prediction method and system based on water environment capacity. The mining prediction method comprises the following steps of collecting mine basic data, and the mine basic data comprises basic attribute data of a to-be-mined block, basic attribute data of a drainage basin, water qualitymonitoring attribute data, meteorological attribute data and basic attribute data of a pollution source; calculating the ammonia nitrogen concentration of the ionic rare earth mining surface water based on the collected mine basic data; decision making being conducted on mining of the ionic rare earth mine based on the ammonia nitrogen concentration, and the mining amount being reduced in the mining year when the ammonia nitrogen concentration is larger than 1 mg/L. The prediction method can accurately reflect the space-time dynamic change of the non-point source pollution caused by the dispersive mining of the rare earth ore, simplifies the complex problem, and is simple and convenient to operate.

The invention discloses a drainage gas recovery effect fuzzy comprehensive evaluation method based on an entropy evaluation method, aiming at the characteristics of a foam drainage gas recovery well,indexes for evaluating the foam drainage gas recovery effect are selected, and a foam drainage gas recovery effect evaluation index system is constructed by following the principle of combining qualitative analysis and quantitative analysis. The mutual relationship between the evaluation indexes of the gas well drainage gas recovery effect is considered, a membership matrix is created by adoptinga linear analysis method, the index weight is confirmed by adopting an entropy evaluation method, and the comprehensive evaluation index of the gas well foam drainage gas recovery effect is calculatedby combining a fuzzy comprehensive evaluation method. by using the method provided by the invention, more scientific, accurate and objective evaluation information can be obtained.

A Fermat's grand theorem demonstration model is disclosed and relates to the field of teaching of mathematics in primary, secondary and tertiary schools and the field of scientific research. The invention is aimed at constructing a mathematical model for Fermat's grand theorem and solving two problems of mathematics teaching and popularization of science; the demonstration model consists of a number of rectangular square (1), a number of universal Integrated circuit boards (2), a number of positive Integer nth power formula plates (3), a number of touch screen switch cover plates, a third power display panel (5), a fourth power display panel (6), a fifth power display panel (7), a sixth power display panel (8), a seventh power display panel (9), an eighth power display panel ( 10), a ninthpower display panel (11), an nth power universal display panel (12), an nth power variant four-color display panel (13) and a base seat (14); the third power display panel (5), the fourth power display panel (6), the fifth power display panel (7), the sixth power display panel (8), the seventh power display panel (9), the eighth power display panel (10), the ninth power display panel (11), the nth power universal display panel (12), the nth power variant four-color display panel (13) and the base seat (14) are made via via a Fermat inequality parameter method and an assembly display panel method; all display panels are orderly inserted horizontally into opposite grooves of inner sides of wall panels erected before and after the base seat (14); different colors of the rectangular squares on the display panels or lights of electric lights in an integrated circuit are used to show Fermat inequalities and demonstrate that Fermat's grand theorem is true, and the positive integer n is greater than or equal to 3.