34results about How to "Has practical engineering application value" patented technology

The invention discloses an urban congestion area road network double-layer boundary control method. A road network microscopic simulation model is established by adopting taxi GPS data and on-site survey data, and meanwhile, a road network macroscopic fundamental diagram (MFD) is constructed. On the basis, first, the expected total entry amount of the road network is determined according to a roadnetwork boundary control method (first-layer control) containing control delay; then, the control intersections are expanded into a virtual subarea road network according to a certain mode, and a road network total entry amount distribution method (second-layer control) is developed by taking the reduction of the road network density distribution variance as a control objective and considering queuing overflow control generated by road network total entry amount control. Compared with a common boundary control method, the control total amount distribution optimization control method is stable, effectively improves road network performance, avoids queuing overflow of the road network due to control, and has practical engineering application value.

The invention discloses an unmanned aerial vehicle (UAV) formation obstacle avoidance priority on-line configuration method based on a collision cone. The method comprises the steps of (1) collecting real-time positions and speeds of each UAV in a formation and an obstacle in an environment, and predicting a fastest collision time of each UAV in the formation and the obstacle on the above basis, (2) calculating a collision angle range of each UAV according to the collision cone theory, (3) constructing a collision evaluation function and calculating a maximum overload needed by performing a maneuver by each UAV in avoiding the obstacle with the combination of the fastest collision time and the collision angle range, and (4) comparing urgent degrees of collision evaluation of UAVs, and orderly distributing obstacle avoidance priorities from high to low to corresponding UAVs according to the sorting of urgent degrees from high to low. The method has the advantages of easy implementation, the adaption to different obstacle environments and online and real-time allocation calculation, and a guarantee is provided for the rapidity and accuracy of the obstacle avoidance of the UAV formation.

The invention provides an electronic regulator model for a water turbine adjusting system. The model has an openness control mode, a power control mode and an isolated-network control mode. The openness control mode or the power control mode can be manually selected as a control mode of a normal grid-connected unit. The openness control mode or the power control mode can be automatically switched with the isolated-network control mode. The power control mode has two sets of PID control parameters which can be automatically switched. The electronic regulator model is clear in structure and strong in universality, the parameter meaning of the model is definite, and the parameters can be conveniently obtained through measurement on site. The modeling process is efficient, the precision is high, and the actual control function can be accurately simulated, so that the actual engineering demands can be satisfied. Moreover, the universality of model application is improved. The meaning of the control parameters of the model is clear, and the parameters are conveniently obtained through a field test, so that the model has actual engineering application value. A reliable and accurate basis is provided for stable analysis and calculation of an electric power system, so that the stability of the electric power system is ensured.

The invention discloses a transformer bushing evaluation method, which fuses a plurality of indexes reflecting the state of a transformer bushing, comprehensively and comprehensively reflects the state of the bushing based on a fuzzy theory and a neural network algorithm, and introduces a variable weight and the neural network algorithm on the basis of fuzzy comprehensive evaluation. According tothe fuzzy control method, the limitation of conventional weight and the subjectivity of artificially determining the membership function are overcome, and the self-updating and self-adaption of the membership function are realized through neural network training, so that the fuzzy control has certain self-learning capability, and the evaluation result is more reliable.

The invention relates to an indoor testing apparatus and indoor testing method for simulating pile side post-grouting. The indoor testing apparatus comprises an air compressor, a grout storage tank and an interface shearing device, wherein the bottom of an upper shearing box pushed into the interface shearing device is provided with a grouting hole; and the bottom of the grout storage tank is connected with the grouting hole in the upper shearing box through a grouting valve and a grout inlet pipe. Cement grout is injected into the contact surface of a test soil body and concrete at a designedgrouting position via the grout inlet pipe; and then the physical and chemical properties of a pile-soil interface after pile side post-grouting are observed and analyzed through direct shear testingand subsequent soil body excavation. Compared with the prior art, the indoor testing apparatus and indoor testing method provided by the invention can be used for simulation study of the influence ofpile side post-grouting at different positions of the body of an on-site pile on the bearing mechanism of the foundation pile, can comprehensively study the influence of grouting and unloading conditions on pile side post-grouting effect by controlling different grouting and unloading conditions, are beneficial for revealing the grouting mechanism of pile side post-grouting, and provide referenceand the like for the design, construction and the like of post-grouting in practical pile foundation projects.

The invention relates to a macroscopic-microscopic collaborative optimization method of a structure of a material containing elliptical holes. A material unit cell containing an elliptical hole is employed, and a homogenization method is used to calculate an equivalent elastic tensor of the unit cell. For realizing collaborative design of the material holes and structure configurations, two sets of independent design variables of elliptical hole angle parameters of the porous material and the macroscopic pseudo density on a structure design domain are introduced, and relationships between thedesign variables and the equivalent porous-material elastic-tensor are established through an SIMP interpolation model. In an optimization process, an overall volume constraint is used, and overall macroscopic structure stiffness maximization is used as a target for structure topology optimization design to obtain a design result. According to the method, design of the macroscopic structure configurations and the microscopic elliptical hole angles are integrated into an optimization model, the optimization result with a practical engineering application value is obtained, and macroscopic-microscopic collaborative optimization design of the structure of the material containing the elliptical holes is realized.

The invention discloses a multi-scale iteration method for efficiently solving a state of a large-scale nonlinear random structure system. The method comprises the following steps: establishing a moment function equation of a state response of the nonlinear random structure system; establishing an enclosed moment function equation of the state response by a Gauss truncation technology; establishing a multi-scale discrete interval within a time domain; and iteratively solving the enclosed moment function equation of the state response within the multi-scale interval by a Runge-Kutta method to obtain a statistical characteristic of the state response of the nonlinear random structure system finally. Through adoption of the multi-scale iteration method, simultaneous solving of three random differential equations can be avoided; a large quantity of computer storage resources are saved; and the computation efficiency is increased greatly. Moreover, iteration times can be adjusted automatically through error control and initial value setting, so that accelerated convergence of a solving process is realized. An efficient solving method is provided for state analysis of the large-scale nonlinear random structure system, and the method has an actual engineering application value.

The invention discloses a pipeline noise control device based on a local resonance mechanism acoustic metamaterial. The pipeline noise control device comprises a pipeline, a flexible film with pretightening force is embedded in the side wall of the pipeline, a plurality of connecting points are arranged on the flexible film, spring vibrators are arranged on the connecting points, the spring vibrators and the flexible film can generate superposed vibration, and when incident sound excitation reaches a specific frequency, radiation sound waves generated by vibration of the spring vibrators and the flexible film are cancelled with incident sound waves. According to the pipeline noise control device, a brand new design method is adopted, especially, a good control effect on low-frequency noise which is difficult to solve is achieved, and high sound insulation can be achieved at an ultra-low frequency band. The pipeline noise control device is small in number of adopted assemblies and simple in structure, so that the construction period is short, the design effect is remarkable, and certain practical engineering application value is achieved.

The invention discloses a coal blending combustion method based on multi-objective optimization, and the method comprises the following steps: S1, calculating coal quality parameters through a linear weighting method according to the industrial analysis result of a coal sample, and calculating the coal quality parameters by taking a safety limit and an environmental protection limit as constraint conditions; establishing a coal blending mathematical model based on multi-objective optimization by taking safety, economy and environmental protection as optimization objectives; s2, optimally calculating the optimal coal blending proportion according to the multi-objective optimization-based coal blending mathematical model established in the step S1; and S3, implementing automatic coal blending combustion. Under the multi-target requirements of safety, economy and environmental protection, the actual load of a unit, the combustion working condition of a boiler and the coal storage condition of a coal yard are integrated, the blending proportion of coal in-furnace blending is optimally calculated, the proportion of coal types controlled by all coal feeders is automatically adjusted according to the blending proportion, and automatic coal blending and blending combustion are achieved.

The invention discloses a dynamic regulation and control method for a special lane for network-connected vehicle based on permeability. The method comprises the following steps of: 1, acquiring the total number of vehicles entering each lane and the number of network-connected vehicles in a current time period; 2, judging whether a special lane for the network-connected vehicle needs to be set in the current time period; 3, judging the lane number of the special lane for the network connection vehicle in the current time period through an algorithm; 4, sending the serial number of the special lane for the network-connected vehicle to the network-connected vehicle in the road section, and meanwhile controlling the intelligent light-emitting spikes on the corresponding lane marking lines to emit light; and 5, circulating the steps, and judging the lane number of the special lane for the network connection vehicle in the next time period. According to the invention, the position of the special lane for the network-connected vehicle can be dynamically selected in real time according to the network-connected vehicle permeability of each lane, the necessary lane changing times of the vehicles are reduced, the lane changing conflicts among the vehicles are reduced, and the traffic flow operation safety and the traffic flow operation efficiency are improved.

The invention discloses a phased array radar antenna back frame lightweight method, and the method comprises the steps: step 1, building a back frame lightweight reliability model through employing an interval-probability uncertainty measurement model based on the actual measurement parameters of a phased array radar antenna back frame; step 2, based on an equivalent model principle, according to a displacement function of the antenna back frame in the back frame lightweight reliability model, calculating the reliability and displacement constraint conditions when the maximum value of the displacement of the antenna back frame does not exceed a displacement threshold; and step 3, calculating a maximum probability failure point of a displacement constraint condition after Lagrange change under a preset condition by adopting iterative operation, and calculating an optimal solution of the back frame lightweight reliability model according to the maximum probability failure point so as to determine a phased array radar antenna lightweight reliability parameter. According to the technical scheme of the invention, the problem that the precise probability model of the phased array radar antenna back frame is difficult to obtain is solved, and the calculation amount in the reliability optimization process is greatly reduced.

The invention provides a method for inhibiting radiated emission of magnetic isolation communication equipment in a power system. The method comprises the following steps that radiated emission in the magnetic isolation communication equipment is divided into input-to-output dipole radiation and fringe radiation; a board-level embedded type splicing capacitance method is adopted to inhibit input-to-output dipole radiation; a through hole guardrail fringe protection method is adopted to inhibit fringe radiation. The method is low in cost, easy to realize, small in generated capacitance parasitic inductance value and capable of obviously reducing radiation emission in the magnetic isolation communication equipment in the system, guarantees the stability and the reliability of a communication system in intelligent power grid construction, and has practical engineering application value.

The invention discloses a directional diagram interval analysis method under the uncertainty deformation of a phased array radar, and the method employs an interval measurement model to measure the uncertainty deformation of a radar array plane, and further quantifies the fluctuation law of the sidelobe of a phased array radar directional diagram under the uncertainty deformation. The method comprises the steps of analyzing an interval median, an interval radius and spatial correlation function construction of radar array plane uncertain deformation; measuring uncertain deformation of the radar array plane generated under the action of the service load by using an interval field measurement model; and introducing the interval field model of the radar array plane uncertainty deformation into an electromagnetic-structure coupling directional diagram function formula, calculating to obtain a directional diagram of the phased array radar, and further obtaining upper and lower boundaries of a sidelobe of the directional diagram of the phased array radar under the array plane uncertainty deformation. According to the technical scheme, the upper and lower boundary representation forms of the side lobes of the radar directional diagram are obtained, the influence rule of radar array plane uncertainty deformation on the radar directional diagram can be quantified, and guidance and reference are provided for radar actual engineering design and optimization.

The invention discloses an in-cabinet cable head fault positioning method and system based on a phase CT and a zero-sequence CT. The method comprises the steps of collecting a neutral point zero-sequence voltage of a power distribution network, a synthesized zero-sequence current of the three-phase CT and a zero-sequence current signal of the zero-sequence CT; judging whether the system has a single-phase earth fault or not according to the real-time break variable and the real-time amplitude of the zero-sequence voltage of the neutral point; when a fault occurs, the zero-sequence voltage and the synthesized zero-sequence current signal are utilized to perform primary line selection, and if a certain line is selected, the synthesized zero-sequence current signal and the zero-sequence current signal are utilized to perform secondary line selection so as to judge whether the fault occurs on a cable head in a switch cabinet of the line or on the cable line. The method is simple and convenient to operate, overcomes the defect that the cable head in the switch cabinet cannot be positioned when the single-phase earth fault occurs, is high in positioning accuracy, can effectively improve the safety and reliability of a power distribution network, and has relatively high engineering value.