209results about How to "Verify availability" 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 method for precisely editing a genome DNA sequence. A TALEN, CRISPR/Cas9 and other gene targeting technologies and homologous recombination technologies are utilized in a combined mode for precisely editing the genome DNA sequence. According to the method, the technical problem that in the prior art, a specific sequence cannot be deleted is solved, the specific base sequence can be seamlessly inserted or deleted in a fixed point mode, and seamless free modification of the genome DNA sequence of eukaryocyte is achieved for the first time.

The invention relates to the technical field of underground road bituminous pavement service performance evaluation. In order to make the evaluation result objective, the effective scientific decision can be provided for the road maintenance and repair department. In order to fulfill the aim, the adopted technical scheme is as follows: the entropy weight-based underground road bituminous pavement service performance evaluation method comprises the following steps of: 1. determining a composite underground road pavement performance integrated evaluation index system, namely 1.1. determining evaluation indexes and evaluation standards, 1.1.1. determining underground road bituminous pavement damage condition evaluation indexes and standards, 1.1.2. determining composite underground road pavement driving quality evaluation indexes and standards, and 1.1.3. determining composite underground road pavement safety performance evaluation index and standards; 1.2, establishing a comprehensive evaluation model; and 2. performing a composite underground road pavement service performance evaluation method. The method is mainly applied to the underground road bituminous pavement service performance evaluation.

A received signal strength (RSS) predictor of a propagation-free model is trained based on a large number of actual network data sets, and the coverage performance of base station (BS) deployment is optimized through a multi-target heuristic method. In particular, more practical features of signal propagation, such as geographical environment and operating parameters of a base station, are fed into a machine learning (ML) model to predict received signal strength; besides, a multi-objective greedy algorithm is designed based on the prediction model, a feasible solution is initialized to meet geographical constraints and is fixed to be related to longitude and latitude of an optimization area, the optimization step length in the search direction is fixed, the step length is set according tothe upper limit and the lower limit of parameters, and the optimization objective is that the coverage rate reaches the standard with the least base stations. Numerical simulation results show that the multi-layer perceptron is superior to other machine learning algorithms in the aspect of received signal strength prediction, convergence and availability of the method are verified through base station deployment simulation, the coverage rate is better than that of actual deployment, and the number of base stations needing to be deployed is smaller.

The present invention discloses a camera self-calibration method based on two vanishing points. With two groups of orthogonal parallel lines as self-calibration patterns, four and more sequence images of different viewing points are obtained, a Harris-based sub-pixel angle detection method is used to extract four intersections of self-calibration patterns in each image, and the image coordinates of the two vanishing points are calculated. According to a projection geometry characteristic that a light center is perpendicular to the connection line of the two vanishing points, the constraint equations of camera intrinsic parameters are listed, and the intrinsic parameters such as a image plane main point coordinate (u0, v0) and normalized focal lengths fx and fy are obtained. According to the method, a calibration plate and a calibration block are not needed, the acquisition of camera motion information and the world coordinate information of the self-calibration patterns are not needed, the calibration process is convenient, a shooting requirement is not high, the algorithm is simple and efficient, and large visual field, zoom and remote vision detection applications can be satisfied. The calibration precision is better than the precision of a three-vanishing-point self-calibration method, and the calibration of high precision can be completed by using a low-resolution camera.

The invention belongs to the technical field of wind power generation, and discloses a comprehensive control system adopting a doubly-fed wind generator participated in power grid primary frequency modulation. The control system comprises a rotor rotary speed control module, a simulation inertia control module, a droop control module, a rotary speed protection and power determination module and apitch angle control module. After the wind generator is participated in frequency modulation, the power grid inertia is equivalently enlarged, so that the doubly-fed asynchronous wind generator can have inertia response on the power grid frequent as the conventional synchronous generator, thereby lowering change rate of the power grid frequency; and by controlling the rotary speed and the pitch angle, the wind generator output is lowered, so that the wind generator has certain active backup capacity to be participated in primary frequency modulation, thereby lowering steady-state error of thefrequency.

The invention belongs to the technical field of fault diagnosis of rotary machines, and relates to a fault diagnosis method for a condition-variable planetary gear box based on multi-sensor information fusion, especially to a fault diagnosis method suitable for the condition-variable complex wind power planetary gear box. The method comprises the following steps that (1) according to the structural characteristic and diagnosis difficulty of the planetary gear box, proper vibration measuring point positions and sensor types are selected, and a collection scheme is made; (2) according to the order reconstruction technology, vibration signals are preprocessed, nonlinear non-smooth time domain signals are converted into smooth angle domain signals, and non-smooth vibration time-domain signals sampled in equal time interval are converted into angle domain vibration signals with smooth feature; (3) information of multiple sensors is fused; (4) faults of the planetary gear box are divided into distributed faults and local faults; (5) fault modes are identified; and (6) verification is carried out. According to the diagnosis method, the accuracy of a diagnosis result is high, and the practicality is high.

The invention discloses a three-dimensional core image pore and throat segmentation method and belongs to the technical field of image segmentation. The method includes: making communication marks on a three-dimensional core model; subjecting each communication area to three-dimensional distance transformation; calculating a gradient module value of transformed results; seeking key points; subjecting the found key points to framework generation; adding frameworks generated by all the communication areas to obtain a whole three-dimensional core model framework C; calculating pore-diameter cross section area of each framework point in the framework C; seeking pore seed points; subjecting the pore seed points to region growing to mark out each pore of the three-dimensional core model so as to complete three-dimensional core image pore and throat segmentation, wherein mutual contact positions among pores are throats. By the three-dimensional core image pore and throat segmentation method, problems of large errors, over-segmentation, under-segmentation and the like in traditional segmentation method can be reduced, so that three-dimensional core image pore and throat segmentation results are more accurate and effective.

The invention provides a system and a method for synchronously switching trigger timing of semiconductor valves, belonging to the field of power electronic automation. The method is realized through a set of valve control system. The valve control system comprises a master control unit, a return inspection unit and valve base electronic (VBE) units of valves. The master control unit is used to receive trigger timing switching order given by the outside and to adjust the entire timing switching process. Each VBE unit is used to verify the trigger timing selected by the master control unit and to feed back return information to the return inspection unit after check and to trigger or cut off the corresponding valve according to the selected trigger timing. The return inspection unit is used to receive the return information reported by each VBE unit and to feed back the information to the master control unit after the information is summarized. The method can satisfy the requirements of converter valve operation testing devices or other large-scale power electronic devices on the synchronous switching of valve trigger timing.

The invention discloses a method for extracting cracks in a three-dimensional rock image. The method includes the following steps: performing surface reconstruction, Laplace mesh smoothing and mesh simplification operation in sequence on each connected component of a three-dimensional rock pore model; then based on the triangular mesh unit triangle area and unit normal vector characteristics, utilizing K-mean clustering to calculate a clustering center; classifying a triangular mesh unit again according to the clustering center; executing hole repairing on a three-dimensional surface structure formed by triangular mesh units in each triangular mesh class to obtain a closed surface structure set; judging whether the closed surface structure set is a crack according to parameters such as a shape factor and an area ratio; executing morphological expansion processing on a closed surface structure set surface and internal voxel point set and performing AND operation on the closed surface structure set surface and internal voxel point set and a voxel point set of original three-dimensional rock pore model connected components, and a voxel point set obtained by the And operation is a crack. Compared with a traditional method, the method provided by the invention can correctly identify and accurately extract rock cracks.

The invention discloses a method for building a Nierji reservoir water ecological risk early warning model through the fusion technology, and relates to a method for building a Nierji reservoir water ecological risk early warning model. A system dynamics decision-making module is adopted for risk early warning and decision making quantitative analysis, then a Bayesian network model is adopted for risk early warning and decision making quantitative analysis according to a quantitative analysis result, and therefore Nierji reservoir water ecological risk early warning and decision making are achieved. The Nierji reservoir water ecological risk early warning model is built, the system dynamics and the Bayesian network model technology are fused, quantitative advantages in early-warning and decision-making research are highlighted, and Nierji reservoir water ecological risk early warning and decision making are achieved. The accuracy of the model is verified based on comparison and analysis for current data, and the availability of the model is verified through early-warning research on relative risk source risks and decision-making research on control strategies.

The invention discloses an online identification method of small-disturbance stability parameters based on PMU measurement data. The method includes: according to a linearization state matrix, with the combination of the PMU measurement data (generator angular velocity, power angle and internal potential trend data) of an electric power system, the matrix operation form of the ordinary least squares solution of to-be-estimated parameters (conductance, susceptance, and generator time constant and damping coefficient) is deduced. The beneficial effects of the method are that the current operation state can be accurately reflected through abundant measurement data, and a great help is provided for the improvement of the accuracy of practical parameters of the electric power system.

The invention relates to a method for movie recommendation on the basis of an orthogonal and cluster pruning based improved multi-objective genetic algorithm. An improved algorithm OTNSGA-II is provided aiming at defects in distributivity and convergence of NSGA-II (non-dominated sorting genetic algorithm-II) and can be used for solving various multi-objective function optimization problems. By design of fault multi-objective orthogonal experiment initialization population, distributive deficiency caused by individual nonuniformity is avoided; by application of self-adaptive cluster pruning strategies, a population evolution process is maintained, and inferior individuals in an appropriate quantity are removed to keep convergence and distributivity of the population. By combination with information mining of user behaviors and movie properties, the algorithm is applied to solving of a practical problem of personalized movie recommendation, universality and effectiveness of the algorithm are explained by test comparison with existing algorithms, better recommendation results are obtained, recommendation accuracy rate, recall rate and coverage rate are increased, rich recommendation scheme combinations are provided, and interest points of users can be mined beneficially to provide more reliable recommendation services.

The invention discloses a polymerase chain reaction (PCR) method for detecting Brucella based on a dual priming oligonucleotide (DPO) primer, and a DPO primer sequence thereof. The method comprises the following steps of: selecting a Brucella Omp25 gene as a target gene; through BLAST analysis of the gene sequence, selecting a conserved region of the target gene sequence, and designing and synthesizing the DPO primer, wherein the nucleotide sequence of the DPO primer is as follows: BO-DPOF: 5'-CTTTTGCTGCCGACGCCATCCIIIIIAGGAACAGC-3', and BO-DPOR: 5'-TTCGTCGTCCAAGCCGTTGTTAAIIIIIGCTTGATCT-3'; and establishing a DPO-PCR detection method so as to perform precise qualitative detection on the Brucella. The invention also relates to a detection kit which has the advantages of high detection specificity, high accuracy and high sensitivity.

The invention relates to an automatic driving service unloading method based on edge calculation. The method comprises the steps of S1, enabling a vehicle with an automatic driving function to sense the surrounding environment through various sensors and obtains data; S2, querying and detecting a current network state and available resources through an API before the vehicle runs; S3, enabling theedge or the cloud to calculate unloading strategies in different network states through an ILP integer linear programming model, and store the unloading strategies as a lookup table; S4, when the vehicle runs, registering the current network state with the stored lookup table, and when the matching is unsuccessful, performing adaptive dynamic scheduling by using a heuristic algorithm, and takingthe nearest task unloading strategy in the lookup table as the reference of the heuristic algorithm for iteration; and S5, returning a calculation result to the unmanned vehicle by the edge server andthe cloud, and repeating the operation in the step S4 at the beginning of the next period. According to the method, the low-delay performance required by unmanned driving is ensured, the service quality is improved, and the response time of an automatic driving calculation task is effectively shortened.

The invention discloses a micro-surfacing mixture mineral aggregate grading optimization design method. The method comprises the following steps of 1) determining different mineral aggregate grading schemes through the throughput of key sieve holes; 2) determining the stacking density of each scheme of the different mineral aggregate grading schemes; 3) performing initial performance testing on different graded mineral aggregates; 4) determining physical and mechanical indexes of the different graded mineral aggregates; 5) performing road performance examination on the different graded mineral aggregates; 6) determining micro-surfacing mixture optimal mineral aggregate grading. According to the method disclosed by the invention, the quality of the micro-surfacing mixture mineral aggregate grading is judged by adopting an aggregate stacking density method, so that a micro-surfacing mixture with a dense framework structure is obtained; moreover, the earlier-stage and later-stage road performances of the micro-surfacing mixture are comprehensively considered, so that a micro-surfacing mixture with great high temperature stability, skid resistance and relatively high abrasion resistance is obtained. According to the design method provided by the invention, test data is accurate and reliable; by referring to a testing method for a hot-mixed asphalt mixture, the popularization value is very good.

The invention discloses an asphalt mixture aging test method. The method comprises the steps that: a short-term aging hot-mixed asphalt mixture sample is obtained with a hot-mixed asphalt mixture accelerated-aging method specified by highway engineering asphalt and asphalt mixture testing procedures; the short-term aging hot-mixed asphalt mixture sample is obtained, and a testing method and testing equipments same as those of a pressure-aging-vessel-accelerated asphalt aging test specified by the highway engineering asphalt and asphalt mixture testing procedures are adopted, and an asphalt mixture long-term aging test is carried out; the performances of the long-term aging hot-mixed asphalt mixture obtained by the test is compared with the performances of an original non-aged asphalt mixture, such that the aging degree of the hot-mixed asphalt mixture can be accurately determined. With the testing method provided by the invention, the performance aging condition of the asphalt mixture after long term use in an actual environment can be simulated, such that the aging performance or the anti-aging ability of the asphalt mixture can be accurately determined.

The invention provides a Markov model-based multi-energy complementary system random stability analysis method. In order to reasonably describe the changing condition of the illumination and the windspeed, existing illumination data, wind speed data and the like are subjected to clustering analysis, and then the center point of each cluster is obtained. The center point of each cluster is adoptedas one Markov state. A transfer rate matrix between all states is obtained through Bayesian reasoning. According to the Kirchhoff voltage and current law, a Markov state space model is built. On theabove basis, a random Lyapunov function is constructed for carrying out the random stability analysis. Moreover, though detecting the current value of a grid connection point, a current controller isdesigned to carry out the in-situ reduction of an adjustable load. According to the fluctuation condition of the new energy power generation, the consumption amount of the load is adjusted. Therefore,the power transmitted to the power grid is guaranteed to be continuous and stable. Finally, the simulation operator test is established and then the effectiveness and the practicability of the methodare verified.

The invention relates to a transformable array electrode type remediation device for heavy metal polluted soil. The device is characterized in that a soil chamber is arranged around a central electrode chamber, and the soil chamber and the central electrode chamber form concentric circles; a PRB (Permeable reactive barrier) is arranged in the concentric circles in the direction vertical to the electric field direction, and the central electrode chamber and the PRB form concentric circles; the space between the central electrode chamber and a PRB body is filled with a medium filler; six hollowvertical column type anode chambers are uniformly distributed on a circular arc of the soil chamber and are treated as surrounding electrode chambers; filtering nets are attached to the soil chamber,the anode chambers, the PRB, and the inner walls, adjacent to cathode chambers, of the PRB; electrodes are arranged in the anode chambers and the cathode chambers. According to the device, the array electrode arrangement mode is adopted, so that the remediation efficiency is improved; the remediation period is reduced; the size of the electrode chamber is adjustable; the electrodes can move, thusthe device can be switched among different remediation ranges, and as a result, the practicability is high; the electric remediation mode and the PRB are combined, so that the heavy metal in the soilcan be efficiently removed.

The invention discloses a continuous power flow method of an alternating current and direct current power system considering wind power randomness. Specific to the problem existing in stability calculation of a static voltage of a wind power plant-containing alternating current and direct current hybrid power transmission system, a Monte carlo method is adopted creatively to obtain a function relation between wind power output and voltage collapse point load margin through fitting; a calculation formula of voltage collapse point load margin expectation is deduced according to an air speed weibull distribution function, a relation between wind power output and power and a fitted function; the effectiveness of the method is verified on an improved IEEE9 node system; compared with the conventional Monte carlo method, the continuous power flow method disclosed by the invention is higher in accuracy and higher in speed; influence to the voltage collapse point load margin expectation from a direct current variable control value and air speed probability distribution parameters k, c values is further analyzed; and the method also can perform analysis on load margin of different load output directions conveniently, so that a direct current control value can be reasonably set by an operator according to the current air speed distribution condition so as to regulate an operating way favorably.

The invention discloses a recovering method of asphalt in an asphalt mixture. The method comprises the steps that: asphalt in asphalt mixture is extracted by using a centrifugal separation method specified by highway engineering asphalt and asphalt mixture testing procedures, such that an asphalt solution is obtained; the obtained asphalt solution is placed in a beaker and is allowed to stand for 24h for precipitation, and an upper-layer asphalt solution is obtained; the obtained asphalt solution is subjected to asphalt recovery by using an Abson method specified by the highway engineering asphalt and asphalt mixture testing procedures; the obtained recovered asphalt is placed in an aluminum spoon with a relatively large diameter, and is evaporated for 4h under a temperature of 130 DEG C in a baking oven, such that final recovered asphalt is obtained. The obtained final recovered asphalt can be used in various performance tests. With the recovering method of asphalt in asphalt mixture, the influences such as mineral powder and trichloroethylene residual solutions during the extraction and recovery processes upon the performances of asphalt can be effectively eliminated, such that the performance test accuracy of the recovered asphalt can be ensured.

The invention discloses a method for observing charge and discharge state of a power battery based on a variable parameter model, and belongs to the technical field of battery performance optimizationdesign. Aiming at the problems such as large errors of the existing lithium battery model and imperfect SOC observation method, a design is provided concerning the online precise observation technique of the SOC of the lithium battery, a TS fuzzy and extended Kalman filter (TS-EKF) joint estimator based on a variable parameter second-order RC model is proposed, thereby, by using the variable parameter second-order RC model, ensuring the simplicity of the model structure at the same time while ensuring good description of charge and discharge dynamic process of the lithium battery, realizing the control of grouped energy storage batteries and ensuring safe and efficient operation of the energy storage equipment. By realizing the TS-EKF joint observation algorithm on the physical platform,and at the same time, comparing the observation result of the SOC with the existing estimator, the superiority of the TS-EKF joint estimator is confirmed. The lithium battery SOC observation method provided by the invention plays an important role on maintaining safe and efficient operation of the battery system equipment, extending the overall life cycle of the battery pack and other aspects.