49results about How to "Reduce the impact of uncertain factors" patented technology

The invention discloses a lifting type undisturbed soil triaxial sample preparation device, belonging to the field of indoor geotechnical testing of civil engineering disciplines, including a supporting mechanism, a lifting mechanism, a cutting mechanism, a limiting mechanism, and a sample receiving mechanism; the invention adopts a The hydraulic lifting table drives the lifting of the soil sample, and a circular rotatable cutting blade replaces manual cutting. Because the circular cutting blade is used, the soil can be directly cut into cylindrical samples during the cutting process. In this way, according to the soil sample data, the hardness of the soil sample can be judged, and different cutting speeds can be determined; the soil sample can rise under the drive of the hydraulic lifting platform, and the cutting blade can rotate the gradually rising soil sample to complete the three-axis sample. Preliminary production; the invention solves the problems of cumbersome operation steps in the sample preparation process of the existing sample preparation equipment, which is greatly affected by the operating proficiency of the sample preparation personnel, low sample preparation efficiency, large disturbance to the soil sample during the sample preparation process, and high sample preparation. The problem of low success rate.

An optical cable-embedded composite leaky coaxial cable comprises an optical cable (1), a corrugated copper tube (2), a polyethylene foaming insulation layer (3), a slotted copper strip (4) and a polyolefin outer sheath (5); the corrugated copper tube (2) is internally coated with the optical cable (1), the polyethylene foaming insulation layer (3) is extruded outside of the corrugated copper tube (2), the polyethylene foaming insulation layer (3) is externally coated with a layer of slotted copper strip (4), and the polyethylene foaming insulation layer (5) is extruded outside of the slotted copper strip (4). With an optical cable embedded therein, the optical cable-embedded composite leaky coaxial cable is reasonably combined to form a composite structure, which ensures that the cable not only has the electrical performances of the leaky coaxial cable, but is also additionally imparted with the electrical performances of the optical cable; therefore, the cable is a multifunctional new product.

The invention provides a method for controlling a constant-power inverse model of an ultra- / extra-high voltage magnetically controlled shunt reactor. By adopting the design idea of decomposing and modeling, dynamic effects of a nonlinear element part and an external system of the magnetically controlled shunt reactor are respectively modeled. The structural principle of a magnetic circuit of the magnetically controlled shunt reactor is analyzed, an inverse object equation describing the characteristics of a nonlinear magnetic circuit is established, the characteristics of a saturable magnetic circuit are described with arc hyperbolic function, Taylor's expansion is carried out on a nonlinear equation according to Abel theorem, an exciting current required by a control system is solved through analytic solution, and an inverse object transfer function is built according to the correlation between the external power system and the magnetically controlled shunt reactor. In addition, the control method creates a new idea for designing other nonlinear element controllers.

The present invention provides a method for dynamically assigning container spaces in a yard suitable for loading and unloading at the side of an ART yard. Container information and yard container location information, generate the corresponding container area allocation plan, and send it to the quay crane loading and unloading system, unlocking station system, transportation system, and yard loading and unloading system; automated rail cranes and ART in the yard use the guidance of the transportation system, Monitoring function, according to the container area allocation plan and container transportation plan arranged by the dispatch center system, the container loading and unloading work is completed in the yard. The invention effectively improves the overall production operation efficiency of the port through the dynamic container position assignment method, and reduces the influence of the unstable factor of the container position allocation in the yard on the operation of the port system.

The invention relates to the field of microorganisms, in particular to a bacillus licheniformis and a screening method and application thereof. The Bacillus licheniformis strain used in the present invention was screened from liquor distilled grains. The preservation number of the strain is CGMCC No.18747, the preservation date is October 28, 2019, and the preservation unit is the General Microbiology Center of the China Microbiological Culture Collection Management Committee. The strain is easy to cultivate and has high enzyme activity. The organic matter (dry basis) content of the bio-organic fertilizer prepared by fermenting liquor waste grains with this strain exceeds 90%, and the effective number of viable bacteria (CFU) reaches 0.7-110 million / g; after fermentation, the pH is 5.5-6.5, containing The water content is 15% to 20%, all within the national standard range (the national standard requires organic matter (dry basis) content ≧ 40.0%, effective viable count (CFU) ≧ 0.2 billion / g, moisture ≦ 30.0%, pH 5.5 ~ 8.5), with high application value.

The invention relates to a learning method for operating parameters of a trailing suction dredger. The technical scheme is: randomly divide m valid data sets into training set, cross-validation set and test set, establish 4-8 multi-layer perceptron models, and obtain all multi-layer perceptrons of the training set by adjusting 5 hyperparameters. The loss function of the model, select the model with the smallest loss function among the loss functions of all the multi-layer perceptron models in the cross-validation set as the optimal model, that is, the implicit model; the explicit model of input and output is established through the implicit model and the regression model. Model, using the ant colony algorithm to solve the expected value c of the yield rate 1 and the expected value of the mixture density c 2 The multi-objective optimization problem is obtained to obtain the optimal parameter combination. The model of the invention has good stability, high accuracy and strong versatility, and can meet the expected value c of a given yield rate. 1 and the expected value of the mixture density c 2 The optimal parameter combination can be achieved under the conditions.

The invention discloses a preparation method for platinum-nickel alloy nanoclusters and a fuel cell using the same. The method comprises the steps of preparing nickel chloride hexahydrate and chloroplatinic acid with the molar ratio of platinum to nickel to be 0.2-5:1; preparing polyvinylpyrrolidone with the total molar ratio of polyvinylpyrrolidone to platinum and nickel to be 1:20-30; adding the prepared polyvinylpyrrolidone and the prepared nickel chloride hexahydrate into a heating device, and adding a solvent, wherein the mass ratio of the solvent to the polyvinylpyrrolidone is 100-200:1; heating to 75-90 DEG C, stirring while heating for 20-40 minutes; cooling the temperature of the heating device to be 0-5 DEG C, adding the prepared chloroplatinic acid into the heating device, adding the sodium hydroxide solution into the heating device to adjust the pH value to be 9-11, heating to 185-105 DEG C, stirring while heating for 1-5 hours, condensing and refluxing to obtain platinum-nickel alloy nanoclusters.