340results about How to "Verify rationality" patented technology

The invention discloses a design method for a distributed hydrological model by using a grid as an analog unit, which is called as ESSI for short. The design method comprises the following steps of: obtainment of a distributed parameter: converting vector data into grid data; generalization of a watershed hydrological process: establishing a universal runoff generating type for the grid; design of a runoff generating process: respectively computing the water-quantity distributing condition of each part according to different prior-period soil water conditions; design of a flow collecting process: respectively designing a Muskingum-Cunge method, a delay algorithm and a riverway segmentation Muskingum method for the flow collecting process computation of the model under different conditions; and model development and integration. The invention not only can finish the watershed hydrological process simulation at an arid region and a humid region, but also can realize the short-term flood forecast and the long-term rainfall-runoff process simulation and prediction of a watershed by using modularization and integration ideas as means, thereby providing scientific reference bases for deeply learning about the physical mechanism of water circulation by people, reducing the drought and water-logging disasters and reasonably developing and utilizing water resources.

The invention provides a power transformer online detection system based on an improved convolutional neural network, and a method. The online detection system specifically comprises a sensor set, a signal amplification device, a signal collecting and storing device and a fault positioning device; and the method for the power transformer online detection system based on the improved convolutionalneural network comprises the steps of offline training part and online detection part. According to structural characteristics and the vibration principle of a transformer, distribution points of a vibration sensor are determined, and transformer vibration signals are obtained in real time; original signals are subjected to data processing to be converted into a two-dimensional grey-scale map to serve as convolutional neural network input, wherein the two-dimensional grey-scale map is easily identified through the convolutional neural network; and according to the characteristic that noise interference of real-time vibration data of the transformer is large, the structure of a traditional convolutional neural network is improved, the size of a convolution kernel is improved, an improved convolutional neural network framework applied to power transformer fault positioning is built, and reasonability and superiority of the method are verified.

The invention discloses a monitoring method and an optimal control method for supercritical circulating fluidized bed (CFB) boiler combustion signals. The monitoring method comprises the following steps of: step 1, acquiring and pre-processing field data, and determining an auxiliary variable of an instant combustion carbon quantity model; step 2, building the instant combustion carbon quantity model based on mechanism modeling and data analysis hybrid modeling, and estimating the storage amount of instant combustion carbon in a hearth through a generalized Kalman filter information fusion technology, wherein the instant combustion carbon quantity model is shown in the description; and step 3, building a dynamic heat signal model, a hearth bed temperature signal model and a hearth outlet oxygen signal model through the instant combustion carbon quantity, and predetermining heat, bed temperatures and oxygen. The methods provided by the invention can accurately measure signals of heat, bed temperatures, oxygen and the like of a supercritical CFB boiler in real time, so that the optimal control on supercritical CFB boiler combustion is realized, and the combustion stability of the supercritical CFB boiler is improved.

The invention discloses a given threshold-based numerical control finished product circuit board performance degradation evaluation method which comprises the steps of: (a) selecting an evaluation template to implement an acceleration performance degradation test, and measuring surface insulation resistance value; (b) executing test data fitting, and establishing an acceleration performance degradation model of a test template; (c) calculating the pseudo failure life of the test template based on the failure threshold by combining the acceleration performance degradation model; (d) selecting a life distribution model of the test template, and calculating the parameters of the life distribution model by utilizing a pseudo failure life fitting test; and (e) confirming the life distribution probability density function of the test template, and calculating the average lifetime of the test template to complete the performance degradation evaluation process of a circuit board. The given threshold-based numerical control finished product circuit board performance degradation evaluation method overcomes the defects of failure data in the existing reliability evaluation technology, saves the time and the cost used for evaluating the reliability, and is beneficial to the maintenance plan and optimization of a system.

The invention discloses a construction method for a rock freeze-thaw damage constitutive model under the action of constant confining pressure. Based on a popularized strain equivalence principle, taking the joint action of two damage factors (freeze-thaw cycle and load) into consideration, the invention proposes an expression of a total damage variable. If the strength of a rock element body is subject to Weibull distribution, on the basis of a D-P failure criterion and geometrical conditions at peak points of a rock stress-strain curve, an expression of a random distribution variable F, a distribution parameter m and F0 is obtained, and a rock freeze-thaw damage constitutive model under the action of constant confining pressure is created. A triaxial compression experiment is carried out on a rock under the action of freeze-thaw cycle, and the experiment verifies the rationality of the model. The method disclosed by the invention is a method combined with theoretical derivation and experimental verification. The theoretical curve of the rock damage constitutive model created by the method is identical with the experimental curve, the mechanical behaviors of a rock under various confining pressures and freeze-thaw cycle numbers can be perfectly reflected, and a theoretical guidance is provided for designs and construction of cold-region projects.

A minimal spanning tree-based clustering genetic algorithm complex web community mining method belongs to the field of complex web community mining technology and is characterized in that the method comprises the following steps: carrying out computer initialization, carrying out population initialization, clustering population by a minimum spanning tree method, carrying out single-point crossover operation, mutation operation and selecting operation on individuals after population clustering, and carrying out iteration for T times so as to obtain the optimum community division of complex networks. Through minimal spanning tree-based clustering of populations and by crossover among populations, population diversity is maintained, and immaturity convergence is inhibited. By crossover operation of excellent individuals in species, probability of searching spaces with better solutions is increased. By selecting a neighbor-node for maximizing local modularity M1 as a variance value, search efficiency of the algorithm is improved.

The invention relates to a verification system and method for an ultra-supercritical unit multi-time reheat steam temperature control strategy. Before a unit is put into operation, through the ultra-supercritical unit multi-time reheat steam temperature dynamic simulation environment, the reheat steam temperature control logics including flue gas recirculation, a swing combustor and a flue gas baffle are verified and optimized, so that the starting adjusting time of the real unit is shortened; and meanwhile, the problem that the optimization and adjustment test is limited by operation conditions when carried out on the real unit after the real unit is put into operation is solved. The system comprises a master computer, a dynamic simulation environment model, a virtual control station computer, the multi-time reheat steam temperature control logics, a virtual controller VDCS, a human-computer interface and I/O communication software. By means of the method of introducing the fineness of pulverized coal, the oxygen content, the n-time reheat steam pressures and the steam temperature correction set value, the reheat steam temperature control logics are optimized, so that high-quality control over the ultra-supercritical unit multi-time reheat steam temperature is achieved, and the needs of the ultra-supercritical multi-time reheat unit for safe, stable and efficient operation are met.

The invention discloses a single-phase photovoltaic grid-connected inverter based on ripple power transfer and a modulating control method. Based on the thought of 'energy transfer', second power of a direct-current side capacitor is transferred to an inductor element by adding one degree of freedom of control into the inverter, and a novel inverter topology structure based on a ripple power transfer circuit is constructed. By combining a grid-connected current control link, a modulation method and system control strategy of the new topology is given. Analysis proves that by the novel single-phase single-stage inverter, second power disturbance can be effectively controlled, second ripple components are inhibited, photovoltaic system efficiency and grid-connected current quality are improved, alternating current in a power inductor is guaranteed, and influence on system reliability and efficiency due to direct-current bias current of the inductor is avoided. Simulation and experiment results verify reasonability and effectiveness of the novel inverter and the modulating control strategy.

The invention provides a storage box recognition and positioning method based on contour features. The method comprises the following steps: (1) collecting a color image and a depth image of box goods; (2) performing foreground segmentation on the color image and the depth image, mapping depth blocks to the color image, marking color region blocks falling into the same depth block, and combining the color region blocks to serve as a final box cargo foreground image; (3) performing linear edge detection on the foreground image of the box cargo, and connecting edges by taking a rectangle as an outline target to obtain a candidate target closed outline; (4) selecting the target meeting the predetermined box body rectangular characteristics from the candidate target closed contours to obtain abox body identification result. The method performs identification and positioning of the box goods based on the depth image and the color image, improves the calculation efficiency, has the advantages of low cost and high real-time performance, and is suitable for identification and positioning of the box goods in complex environments such as factory warehouses.

The invention relates to an optimal scheduling method for a power distribution network. With an objective to minimize the daily total operation cost of an active power distribution network meeting constraints, the objective function of an active power distribution network robust optimization scheduling model is established; a two-stage robust optimal scheduling model is established and is converted into a mixed integer second-order cone model; by means of a column and constraint generation algorithm, the robust optimal model is divided into two layers so as to be solved; various battery charging and battery swapping plans of a battery swapping station under uncertain parameter sets corresponding to the output of wind turbines and photovoltaic units and the power of fast charging stations are substituted into the model objective function, so that first-stage solving can be performed, and an obtained solution is issued to the second stage so as to be optimized; and with corresponding power flow parameters adopted as control variables, a model objective function in the worst scene is solved according to the battery charging and battery swapping plan of the battery swapping station issued in the first stage and on the basis of the values of different uncertain parameter sets until solving results in the two stages meet requirements, so that an optimal result is obtained. The effectiveness and rationality of the method are verified. With the method adopted, the reasonable operation of a power grid can be ensured after a CSSIS (charging-swapping-storage integrated station is connected to an AND (active distribution network).

A simulation system for rendezvous and docking of a spacecraft comprises a horizontal support module, a target six-degree-of-freedom air bearing table, a tracking six-degree-of-freedom air bearing table, a master control module, and a monitor and display module. Actual features of weight and quality of a rendezvous and docking spacecraft can be simulated by six-degree-of-freedom air bearing tables, a six-degree-of-freedom test on a last translation closing stage can be carried out depending on actual rendezvous and docking spacecraft-mounted devices such as a docking mechanism. Compared with the prior art, in the simulation system, an indoor GPS unit module can measure positions and attitudes and transmit to the master control module and the monitor and display module in real time, the rendezvous and docking process of a spacecraft can be visually, accurately and real controlled and simulated, and the success rate of a simulation test can be raised. In addition, the simulation system can verify the rationality of a work sequence during the rendezvous and docking process of the spacecraft, the reliability and validity of the rendezvous and docking process of the spacecraft can be improved.

The invention discloses a multi-region electricity-gas coupling comprehensive energy system optimal scheduling method considering tiered gas prices. The method comprises the following steps: S1, a typical combined cooling heating and power supply system are adopted in an energy supply mode of a comprehensive energy system in a region, power-to-gas equipment and gas storage equipment are arranged to consume new energy to achieve energy standby application, and a gas bus is added for constraint modeling; S2, energy connection is achieved through coupling interconnection of electric energy and natural gas between regions, the natural gas serves as main complementary energy, and an electricity-gas steady-state coupling linear power flow algorithm is completed in combination with a second-ordercone relaxation and incremental linearization method; S3, based on the electricity-gas steady-state coupling linear power flow, a double-layer linearization algorithm is adopted to solve the nonlinear problem of a compressor gas consumption model; and S4, a traditional day-ahead economic dispatching target function is optimized and perfected, the tiered gas price is considered to achieve optimaldispatching by taking the minimum total operation cost of all parks as a target through energy interconnection distribution among different functional areas, namely a residential area, a commercial area, an office area, an industrial area and the like.

The present invention discloses a panorama image mobile terminal display method through fusion of BIM modeling and real scene modeling. BIM modeling and real scene modeling are comprehensively fused to actually simulate the effect of the established design scheme in a current environment, and the model after fusion is employed to conveniently and rapidly allow other people to browse the design scheme on mobile terminals through a mode of sending links or two-dimensional codes. Location is accurate through conversion of a coordinate system, the powerful model capacity of the BIM software is employed to perform improvement of the real scene model to get through the barrier of a real scene model data format and a BIM model data format so as to perfectly fuse the real scene model and the BIM model in the same environment; and moreover, the combination mode of the real scene model, the BIM model and the panorama image is creatively utilized to perform scheme sharing to achieve sharing of the real scene at any angle at any time and compare the differences after the design and prior to the design so as to verify the reasonability of the design scheme.

The invention discloses a high-pressure gas tightness detection system. The high-pressure gas tightness detection system is used for performing quantitative detection on the high-pressure gas tightness of a high-pressure sealing system, wherein a certain quantity of gas for detection is introduced into a high-pressure tank and then water is continuously injected into the high-pressure tank so that the gas pressure in the detection system is capable of meeting the test requirement, and quantitative detection is performed on the gas for detection leaking from the high-pressure sealing system under this circumference, and therefore, the sealing leakage quantity of the high-pressure sealing system under corresponding testing working conditions can be obtained. According to the result of the quantitative detection, the designed leakage quantity of a sealing element can be verified so that the reasonability and safety of the design of the sealing element can be verified, and the result of the quantitative detection also can be used for detecting the leakage quantity under variable working conditions, and therefore, the correspondence between the working conditions of the sealing element and the leakage quantity can be obtained, and furthermore, the leakage quantity under the working conditions of the sealing element can be determined; consequently, accurate data support can be provided for the design of the sealing element, the connecting part of the sealing element and the like.

This invention relates to a cable wiring method under a virtual environment and puts forward a modeling method for scattered control points, which expresses a cable into space continuous polygon line sections connected by a series of scattered section central points and takes these central points as the control points of the space positions and states of the cable to realize the wiring under a virtual environment, in which, a method for wiring of a single control point, multiple control points and an integer is put forward in the process to realize the aim of visual wiring to cables.

The invention discloses a real-time simulation test bench which can be used for fluid-solid two-way coupling property studying on a tank truck and tank truck control strategy development. The test bench is composed of a shrinkage-ratio fluid tank motion platform assembly, a tank truck real-time simulation platform, a human-computer interaction debugging platform, a driver operation device and a driver visual system. The shrinkage-ratio fluid tank motion platform assembly is used for simulating the motion of a fluid tank, and the fluid tank is controlled to move by a six-degrees-of-freedom motion platform controller. The tank truck real-time simulation platform is used for performing dynamic response calculation on the tank truck, performing similarity transformation on the dynamic characteristic between the shrinkage-ratio fluid tank and an actual fluid tank, and performing signal acquisition and motion control on the shrinkage-ratio fluid tank motion platform in real time. The test bench simulates the motion and dynamic property of the tank truck through real-time information interaction between the shrinkage-ratio fluid tank and a truck dynamical model, and fluid-solid two-way coupling and real-time simulation of fluid in the tank truck and the truck are really achieved.

The invention discloses a method for predicting chemical components of sintered ore on the basis of a deep belief network. By the method, according to chemical components of a sintered mixed material,the chemical components of the sintered ore are predicted by a prediction method on the basis of a DBN (deep belief network) algorithm; the method comprises the following specific steps: firstly, acquiring historical data during actual production of a sintering plant, eliminating abnormal data and normalizing; then determining input and output parameters which affect the quality of the sintered ore, and verifying the rationality of the input parameters by a gray correlation analysis method; then establishing a prediction model for predicting the chemical components of the sintered ore on thebasis of the DBN, training by using the historical data to optimize the prediction model; finally, predicting the chemical components of the sintered ore by using the prediction model, and reversely normalizing results to obtain predicted values of the chemical components of the sintered ore. Compared with the prior art, the DBN-based prediction model provided by the invention has the advantages as follows: approximation of a complex nonlinear function can be more accurately achieved, the prediction accuracy of the chemical components of the sintered ore is improved, and application and popularization values in actual production are achieved.