13results about How to "Achieve randomness" patented technology

The invention relates to a method and a system for realizing channel characteristic simulation of a wireless channel model of an unmanned ship based on an unmanned aerial vehicle. The method comprises the following steps: constructing the wireless channel model of the unmanned ship by the unmanned aerial vehicle; the unmanned ship wireless channel model comprises the steps of generating a channel impulse response, generating an unmanned aerial vehicle random track, generating an unmanned ship random track, generating an evaporation waveguide model, generating an evaporation waveguide model, generating small-scale parameters and updating the small-scale parameters; calculating channel statistical characteristics; the channel statistical characteristics comprise time delay power spectrum density, a space-time correlation function, a stationary interval and root-mean-square time delay extension. The method can better correspond to a track in a real environment, and the randomness of the track is realized.

The invention discloses a foot tub parameter intelligent adjustment method and system based on machine learning. The method comprises the steps of data collection, data screening, foot tub parameter prediction model establishment, global parameter optimization and foot tub parameter adjustment. The invention relates to the technical field of smart homes, in particular to a foot tub parameter intelligent adjusting method and system based on machine learning, according to the scheme, data screening is carried out by dividing data neighborhoods and defining data complexity and local density, and the accuracy and reliability of abnormal value recognition are improved; a model is established by designing an excitation function, a front double transformation layer, a residual adjustment layer and a loss function, so that the expression ability, prediction accuracy and prediction error control ability of the model are improved; parameters are optimized by designing a parameter search function and a search rule, and the search direction and step length are dynamically adjusted, so that the search process is more efficient, the anti-interference capability of the search process is enhanced, and local optimum can be jumped out.

The invention provides a V2X function test method and system based on driver-in-the-loop, and the method comprises the steps: operating test execution and management software through an upper computer to call scene simulation software, and displaying a scene interface composed of test scenes on a large scene display screen; the test execution and management software responds to a control instruction sent by a real driver operating the driving simulator according to the simulated traffic environment, a control signal is sent to the scene simulation software, and the scene simulation software controls the driving of the simulation test vehicle based on the control signal; in the driving process, real-time position information of the simulation test vehicle and real-time position information of each simulation object are sent to a tested piece through test execution and management software; according to the real-time position test information of the simulation test vehicle and each simulation object, judging whether the simulation test vehicle meets a V2X early warning function or not through the tested piece; and if the simulation test vehicle meets the V2X early warning function, triggering the corresponding V2X early warning function.

The invention relates to a system and a method for verifying an agent receiving module based on a UVM (Universal Verification Module) verification platform, which support to use a design code module of the agent receiving module to be verified as a verification object by constructing a module-level agent receiving module verification system, and only need to integrate the agent receiving module as a design to be tested. Due to the fact that the whole electronic control unit chip or other design components do not need to be integrated, the system can start verification in the design stage of the current receiving module, verification intervention time is greatly advanced, and dependence conditions are reduced. Moreover, the system combines a random error generator to carry out random error injection, so that random correct data and error data can be generated, the error state in the agent protocol is effectively completed, the randomness and completeness of excitation of the agent receiving module are finally realized, and the verification quality of the agent receiving module is greatly improved.

This invention discloses a method for predicting the application volume of inter-provincial high-voltage direct current (HVDC) channels based on multi-source fusion and probability, belonging to the field of data processing technology. The method includes the following steps: S1, determining the prediction period and basic parameters; S2, determining the final available capacity based on the basic parameters; S3, calculating energy priority based on the final available capacity; S4, constructing a pass rate prediction model based on the final available capacity; S5, determining the output results for the prediction period based on the pass rate prediction model and energy priority. This invention is the first to model channel capacity calculation as a deterministic optimization problem with physical constraints, combining a probabilistic correction factor for meteorological risk to achieve a hybrid modeling of determinism and stochasticity, supporting risk attribution, outperforming black-box prediction, and improving the application pass rate.

The invention discloses an intelligent test question generation method and device, and the method comprises the steps: firstly screening a test question list meeting a preset condition from a question bank, and determining the user information of a test applicant; according to the user information of the person to be tested, the post relevancy of each test question in the multiple test questions is calculated; calculating a weighted average probability value of each test question according to the post correlation of each test question and the historical occurrence probability of each test question; further according to the weighted average probability value of each test question, calculating to obtain a probability value of occurrence of each test question as an examination question; and finally, according to the probability value of occurrence of each test question as the test question and the target number of the test paper questions, generating the test questions matched with the user information of the test applicant. According to the technical scheme, through storage and statistical calculation of the occurrence probability of the historical test questions, the occurrence randomness of the examination questions is realized, and the comprehensive coverage of the examination content is improved.

This invention belongs to the field of digital camouflage technology, specifically relating to a digital camouflage pattern design method based on trend function constraints. It includes: Step 1: Pre-segmenting the background image, then obtaining the step size, turning angle, and step size probability distribution P. l and the probability distribution of the turning angle P θ Step 2: Normalize the frequency and pixels of the background image, obtain the weights corresponding to the edges, construct a Laplacian sparse matrix, generate a probability matrix, match patch labels, calculate the density of texture patches, adaptively generate corresponding convolutional modules, and finally design destructive edges; Step 3: Perform matching and clustering of the main color to output the final camouflage pattern. This invention proposes a digital camouflage pattern design method based on trend function constraints. By defining a trend function to estimate the boundary probability between pixel nodes, digital camouflage patches are outlined, and finally, the background main color is filled to distort the target surface features, thereby realizing the digital camouflage pattern design.

The application discloses an intelligent control method and device for multi-warehouse and mixed stacking, computer equipment and a storage medium. The method comprises the following steps: receiving an outbound order and analyzing the same to generate system state snapshot information; planning the outbound sequence and stacking position of goods according to the system state snapshot information and a preset heuristic rule, and generating a stacking task allocation scheme; controlling a shuttle vehicle to take the goods out of the warehouse according to the planned sequence and transport the goods to the designated position according to the stacking task allocation scheme; transporting an empty pallet to the position and lifting the empty pallet to the stacking height according to the stacking task allocation scheme; stacking the goods on the empty pallet according to the stacking task allocation scheme; and after the stacking is completed, wrapping and packaging the pallet, and transporting the packaged pallet to the target position. The method of the application can improve the overall work efficiency, intelligent degree and collaborative performance of the warehouse logistics system.

The invention relates to the technical field of electric energy metering, and discloses a charging gun metering error monitoring method based on an energy router, and the method comprises the following steps: obtaining the data of a charging gun and an energy router; and calculating the line loss and the line loss rate of the charging station. And identifying line loss rate abnormal points and eliminating corresponding data. Windowing is carried out, weighted accumulation is carried out on data in a window, and sample data are traversed when one sample point is slid every time; and establishing a linear model to solve a charging gun error coefficient, and monitoring a charging gun metering error. According to the method, the line loss rate is calculated through the data of the energy router and the charging gun based on the node sampling data at the interval of 15 minutes, after abnormal value processing is performed on the line loss rate through the 3 sigma principle, accumulation summation is performed on the original electric quantity data in a sliding window mode, and meanwhile, the problem that the importance of sample data after each group of sliding windows is different in an actual application scene is considered. Weights are given to the sampling data after window sliding, the solving precision of the error coefficient of the charging gun is further improved, and accurate detection of the abnormal charging gun is guaranteed.

The present invention provides a preparation method and device for a distributed karst model of a shallow stratum, which relates to the field of geological exploration technology. The main purpose is to provide a research method and device that can be used for covering karst with distributed characteristics in view of the problem that the existing technology lacks research on the complexity of karst distribution, thereby providing a new research direction for engineering research in karst areas. The preparation method of the distributed karst model of the shallow stratum includes the following steps: A: confirming the total volume of the karst development zone, the karst volume rate and the karst development morphology; B: arranging the karst development zone that meets the above requirements by randomly mixing part of the model soil and dry ice in the model box, the outer peripheral side of the model stratum located in the model box is coated with model soil, and the ratio of the dry ice volume in the karst development zone of the mixed part to the total volume of the mixture of the part of the model soil and the dry ice meets the regional karst volume rate; C: distributed karst is formed where the randomly distributed dry ice is located.

The utility model discloses an off-grid green electricity hydrogen production micro-grid regulation and control system which comprises a photovoltaic power generation unit, energy storage units, a standby energy supply unit, a power supply and distribution tandem execution unit, a hydrogen production system and an upper energy management unit. And the power of the photovoltaic module is transmitted to the power supply and distribution tandem execution unit through the inverter for power supply and distribution. In order to ensure that the two groups of energy storage devices supply energy uninterruptedly and stably in the switching process, an additional standby energy supply unit is added. The hydrogen production system is used as a terminal device of photovoltaic power generation local consumption, can adjust the imbalance of hydrogen production instantaneous power through the energy storage unit, and reduces the influence of power generation volatility; the upper energy management unit mainly carries out overall coordination on all the subunits, through reasonable distribution and scheduling of energy, the influence of randomness and volatility of renewable energy on a hydrogen production system is reduced, hydrogen production continuity and hydrogen production efficiency are maintained, and maximum absorption is achieved.

The utility model discloses a barreled material self-loading and self-unloading type trolley, and belongs to the technical field of trolleys. The problems that in the prior art, an operator needs to convey barreled materials through a crown block or a forklift in a plant, multiple persons need to cooperate for operation at the same time, the labor intensity of the operator is increased, the working efficiency is not high, and time and site are limited are solved. Comprising a frame and wheels, the frame comprises two horizontally-arranged grab rails, an inverted-U-shaped portal frame is vertically arranged at the front ends of the grab rails, hooks are hinged to the left side and the right side of the top of the portal frame, an arc guardrail pipe with an outward opening is horizontally arranged at the lower end of the portal frame, and the wheels are installed at the bottom of the portal frame. The device is high in environmental adaptability, economical, practical, simple in structure, good in stability, safe and convenient to operate, easy to overhaul and maintain and convenient to clean.