24results about How to "Quick solve" patented technology

The application discloses a point spread function calculation method and device, electronic equipment and medium. The method can include: establishing an initial point spread function; setting a constraint parameter; obtaining a final point spread function according to the initial point spread function and the constraint parameter and calculating the solution. The application realizes fast solution of the point spread function based on a local neighborhood and a high-frequency approximation, better serves the properties of the Hessian matrix and the high-dimensional forward research of seismic data, provides a new technical idea for high-precision and efficient high-resolution processing of seismic data in the future, and provides strong technical support for actual production and application.

This specification pertains to the field of refining and chemical production processing technology, and particularly relates to a method and apparatus for optimizing refining and chemical production plans for a target secondary processing unit. The method includes: obtaining parameters of the secondary processing unit under a refining and chemical production optimization scenario; constructing a nonlinear constraint equation for product output based on the parameters of the secondary processing unit; performing an equivalent transformation on the nonlinear constraint equation to obtain an equivalent transformation equation; extracting the nonlinear constraint terms and performing a Taylor expansion; transforming the Taylor expansion formula into a linear approximation equation based on the proportion of the feed material to the output material of the blending tank, the feed material quantity to the blending tank, and the feed property values ​​of the blending tank, according to the property balance constraints of the blending tank; and then substituting these into the nonlinear constraint equation for product output, thereby transforming the nonlinear constraint equation for product output into a linear approximation equation containing only material information variables. This method effectively ensures model convergence and shortens the solution time.

This invention discloses a method for eliminating moss growth on macadamia nut leaves, relating to the field of agricultural planting technology. The specific method involves spraying a moss-removing agent onto the macadamia nut leaves during the moss occurrence period, applying moss inhibitor I to the main stem, and applying moss inhibitor II to the soil surface around the main stem. The moss-removing agent comprises the following raw materials in parts by weight: 40-50 parts of allicin, 15-24 parts of urea, 5-18 parts of calcium propionate, 20-27 parts of calcium sulfate, 10-17 parts of calcium chloride, 20-35 parts of vegetable oil, 1-10 parts of titanium dioxide, 1-5 parts of glutathione, and 1-3 parts of dispersant. This invention solves the problems of slow effectiveness, short duration of action, and low plant safety in current macadamia nut leaf moss control methods, achieving highly efficient control.

This invention relates to the fields of automated packaging and logistics warehousing applications, and discloses an automated packing method based on reinforcement learning and dynamic search. This method addresses the difficulties and shortcomings of traditional algorithms when applied to automated online packing scenarios. It combines the advantages of reinforcement learning (which continuously adjusts its strategy based on environmental feedback to achieve automated learning) with the fast solution speed and strong adaptability of dynamic search algorithms. While ensuring maximum utilization of box space, it achieves the goal of quickly solving and optimizing the stacking actions of goods. Furthermore, during the stacking process, the algorithm can continuously adjust its stacking actions and positions based on real-time feedback from the box and the environment, achieving the effect of automatically learning the optimal stacking strategy and providing real-time online guidance for packing.

This invention discloses a comprehensive optimization method and system for green travel routes in multi-agent decision-making. The method includes: constructing a travel-specific spatiotemporal environment, comprising a static environment describing the topological relationships of traffic infrastructure and individual travel plans; a dynamic environment describing the time-varying characteristics of traffic states and supporting dynamic interaction and feedback with agent decision results; and a user-perceived environment describing the probability distribution of individuals' perceptions of travel parameters such as carbon emissions, costs, and time consumption under different travel mode categories; performing comprehensive route optimization based on the environment, calculating the perception weight of a certain type of traveler to a certain topological edge at the current time according to the current moment, the current traveler's category, the attributes of the road segment to be evaluated, and the accumulated amount of travel states generated, and searching for the optimal path in the time-varying topological network with the objective of minimizing the sum of perception weights from the start point to the destination; and the agent moving according to the optimal path and updating the traffic state parameters in the dynamic environment. This invention makes the green travel route recommendation results more closely match the actual choice preferences and heterogeneous decision-making needs of different users.

This invention discloses an underwater electric field source localization method based on a determinant orthogonal propagation operator and adaptive hybrid-driven differential evolution, belonging to the field of electromagnetic positioning and detection. This invention acquires and receives array signals and calculates the covariance matrix. Based on the propagation operator, it constructs a projection operator matrix orthogonal to the array manifold to replace the noise subspace, thereby constructing a determinant spatial spectrum function and defining a cost function. Then, based on this cost function, it constructs an adaptive hybrid-driven differential evolution framework, fusing the alpha evolution algorithm and an adaptive differential evolution algorithm based on successful historical records to solve for the target position coordinates. This invention eliminates the need for eigenvalue decomposition, reducing computational complexity, and accelerates convergence through an adaptive hybrid-driven search strategy, enabling fast and high-precision electric field source localization in complex underwater environments.

This invention discloses a two-tier decision-making method and system for collaborative electricity-carbon trading among building producers and consumers. The method constructs a two-tier optimization framework for collaborative electricity-carbon trading based on the functional responsibilities of upper-level aggregators and the carbon trading positioning of lower-level building producers and consumers. It categorizes individual buildings according to differentiated carbon emission compliance requirements and calculates CCER mutual recognition amounts based on the principle of emission reduction equivalence and the amount of green electricity consumed in each scheduling period. Through dynamic application and allocation by aggregators, a dynamic carbon emission reduction mutual recognition mechanism is constructed. Combining the framework and mutual recognition mechanism, a two-tier objective function and constraints including building thermal balance are constructed, forming a two-tier nonlinear optimization model. This model is then transformed into a single-tier mixed-integer linear programming model through Boolean variable constraint relaxation, Lagrangian function construction, KKT condition transformation, and strong duality principle and Big M method linearization to obtain the decision results. This invention solves the problems of missing differentiated carbon compliance paths for building producers and consumers and poor adaptability of the electricity-carbon collaborative model in existing technologies.

The invention relates to the technical field of computer networks, and discloses a multistage CDN (Content Delivery Network) traffic scheduling method based on linear constraint, which comprises the following steps of: receiving an access request analyzed by a local DNS (Domain Name System) to form a scheduling instance to be optimized; carrying out complexity discrimination on the scheduling instance, and determining an applicable scheduling category of the scheduling instance; establishing a performance upper limit model related to server hardware resources; functional linear constraints are introduced, and Big-M parameters related to the constraints are finely set; and server cluster information, server information, quality constraint information and region hijacking information are obtained, joint solving is performed on the performance upper limit model and the functional constraint, a target cache node IP address meeting all constraint conditions is determined and fed back to a local DNS, and response and scheduling of an access request are completed. According to the invention, through a multi-stage scheduling framework and refined Big-M parameter setting, the computational efficiency and resource utilization precision of CDN scheduling in a complex network environment are improved.

The application discloses a distributed process planning and workshop scheduling integrated optimization method. The application firstly classifies four decision sub-problems of the distributed process planning and workshop scheduling integrated optimization problem into two categories: selection problem and sequencing problem. Then, the selection problem is regarded as a main problem, and the sequencing problem is regarded as a sub-problem, and the two problems are solved respectively, and two groups of Benders optimality cuts and a Benders optimality cut selection strategy are designed to feed back the solving condition of the iteration to the main problem, so that the iteration between the main problem and the sub-problem is realized until the convergence rule is satisfied. The application is not only suitable for the production scene with high requirement on the calculation time, but also suitable for the production scene with high requirement on the quality of the solution. A large number of simulation experiments verify that the application can realize the fast solution of the distributed process planning and workshop scheduling integrated optimization problem, and ensure the quality of the solution.

This invention proposes an adaptive matching mode switching method and device for UAV task allocation. The matching mode switching mainly includes two parts: (1) switching between static and dynamic value calculation functions, based on historical task information; and (2) switching between task type matching, based on task analysis and task allocation type, switching to the corresponding fast task allocation algorithm. This invention provides a method for switching between static and dynamic value functions for task allocation, used for constructing a matching value matrix. It provides methods for defining static and dynamic value functions, used for determining the value of task allocation schemes. It achieves accurate matching of tasks and UAVs under different circumstances. This invention provides rules for selecting task allocation algorithms when the number of UAVs and tasks differs, and determines the allocation relationship between UAVs and tasks based on bipartite graph allocation algorithm and consistent auction algorithm, achieving rapid solution of allocation schemes.

This invention discloses a method for calculating the chemical kinetics of environmentally friendly gases based on a physical information neural network. It constructs a chemical reaction kinetic model of environmentally friendly gases, then builds a set of ordinary differential equations for chemical kinetics, leading to a corresponding single-hidden-layer physical information neural network architecture. The hidden layer weights and biases are randomly initialized and kept constant, while only the output layer weights are set as learnable parameters. The residuals of the control equations and the initial conditions are embedded into the loss function. The time domain is divided into multiple subdomains, and different single-layer neural networks are used to solve for different reaction particles in each subdomain. The initial values ​​are hard-coded into the neural network, and the final value after training in each subdomain is used as the initial value for the next subdomain. Training and solving are performed segment by segment in a concatenated manner. A total loss function for the neural network is constructed, and the output layer weights are iteratively updated until the loss function value decreases to a given threshold. This invention enables more efficient model calculation in strongly rigid multi-reaction coupled systems.

This invention discloses a GEO target coverage analysis method based on a field-of-view mapping model, comprising: constructing the payload apparent element equation for the observation of the GEO target by the space-based observation platform based on the geometric relationship between the space-based observation platform and the GEO target; and using the longitude Ω of the ascending node as the basis for the analysis. G Establish a two-dimensional coordinate plane (Ω) with the horizontal axis as the x-axis and the latitude argument u as the y-axis. G ,u), and calculate the analytical solution of the load apparent element equation to obtain the plane (Ω). G The field of view mapping domain of the space-based observation platform to the GEO target; the trajectory of the space-based observation platform is projected onto the plane (Ω). G The invention utilizes the field of view mapping domain and the trajectory of the space-based observation platform to obtain the visibility window of the space-based observation platform for GEO targets. Applied to the field of space-based observation, this invention is applicable to the visibility analysis of GEO and quasi-GEO targets by any type of payload on a space-based observation platform, and is highly efficient, effectively ensuring space safety.

This invention discloses an energy-saving control method and system for cold and heat source systems based on particle swarm optimization and nested decoupling, relating to the field of building energy conservation. It solves the problem of solving the coupling parameters of building cold and heat source systems. The key technical points are: establishing an equipment group model of the building cold and heat source system, including chillers, ground source heat pumps, chilled water pumps, ground source circulating pumps, cooling towers, and buried pipes; mapping and matching the associated coupling variables with the same physical meaning among the equipment based on the equipment group model to establish a cold and heat source system group model, including chiller systems and ground source heat pump systems; and using a particle swarm optimization algorithm to optimize and solve the global control parameters of the system based on the cold and heat source system group model, outputting the optimal values ​​of the global control parameters; thus achieving optimal energy-saving control of the building cold and heat source system as well as global collaborative optimization and accurate modeling of the building cold and heat source system.

The application is a kind of MCB distribution box real-time data acquisition and diagnosis system based on edge computing; its core is a dual-mode acquisition unit, which continuously monitors the transient fluctuation index of the line under low power consumption; only when the index exceeds the preset threshold, the system will instantaneously switch to high-precision mode to acquire compressed waveform data; after receiving the data, the edge diagnosis unit reconstructs the high-fidelity fault waveform and generates structured diagnostic results using the diagnostic model; the timing correlation positioning unit accurately locates the physical position of the fault based on the high-precision timestamps of multiple diagnostic results by calculating the arrival time difference; the cloud unit then aggregates all results, evaluates and optimizes the entire system, and issues new model parameters and trigger thresholds to the front end to form a closed-loop control; this design reduces the power consumption and network communication bandwidth pressure of the front-end device.

The invention provides an equilibrium strategy generation method, device and equipment for a large-scale unmanned cluster game, relates to the technical field of large-scale autonomous system decision control, and aims to solve the defects of poor stability and low calculation efficiency when an equilibrium strategy is generated for a large-scale unmanned cluster in the prior art. And efficient collaboration and autonomous decision-making of a large-scale cluster in a complex environment are realized. Comprising the following steps: dividing devices included in a device cluster into a plurality of populations based on characteristic parameters of each device included in the device cluster; constructing an average field game model of the plurality of populations, wherein the average field game model is used for reflecting an interaction effect among the plurality of populations; iteration is carried out based on a target mode and the average field game model, a balance control strategy of the equipment cluster is obtained, and the target mode comprises at least one of exponential weighted aggregation, near-regularization, bootstrap regularization and heuristic acceleration; and controlling the equipment cluster to execute the target task based on the balance control strategy.

The present disclosure provides a terminal initialization method, device, electronic equipment and storage medium. The terminal initialization method comprises: obtaining initialization parameters, inertia constraints and visual constraints of a terminal; constructing an information matrix according to the initialization parameters, inertia constraints and visual constraints; performing Schur complement elimination on the information matrix to eliminate the feature points from the information matrix to obtain an eliminated information matrix; performing Cholesky decomposition on the eliminated information matrix to obtain an upper triangular matrix and a lower triangular matrix; inverting the image frame state quantity corresponding to the nearest preset time in the upper triangular matrix to obtain the square root of the covariance, and then determining the covariance; and determining the initialization state of the terminal according to the covariance and the initialization parameters. The method of the present disclosure can quickly solve the covariance and reduce the state quantity fluctuation amplitude.

The present application relates to the field of gear transmission system thermal analysis, and more particularly to a kind of asymmetric helical gear contact surface temperature prediction method and system based on thermal network, the method comprises: S1, the basic parameters of asymmetric helical gear are acquired, and gear thermal network model is constructed, S2, the friction heat flow is calculated, S3, the heat conduction thermal resistance and heat convection thermal resistance are calculated, S4, the thermal network topological structure is constructed, and the body temperature value of each node of driving wheel and the body temperature value of each node of driven wheel are obtained by solving, S5, the contact surface body temperature is solved. Realize the quick analysis of asymmetric helical gear body temperature, it is favorable to more quickly solve.

The application discloses a hard rock explosion test system and method under deep geostress environment, and belongs to the technical field of rock blasting optimization design. The system comprises a geostress hydraulic loading module, a sample bearing module, a blasting occurrence module, a non-contact optical measurement module and an automatic triggering device. The method comprises the following steps: processing a sample, assembling the system, laying out a blasting structure, processing the surface of the sample, loading geostress, preparing for measurement, performing explosion test and processing data. The system and method solve the blank of a large-size and large-equivalent blasting test platform and analysis means under deep in-situ geostress. A digital image correlation analysis system with parallel and efficient calculation is constructed, and explosion pressure field can be quickly inverted.

The invention belongs to the technical field of power systems, and relates to a new energy power system optimization method considering transient frequency security constraints. Comprising the following key steps: S1, constructing a power system frequency dynamic model, and determining a nonlinear expression of maximum frequency deviation constraint; s2, converting the nonlinear expression into a linear approximation form through variable replacement; s3, substituting the linear approximation obtained in the S2 into the original frequency lowest point constraint to obtain a second-order cone constraint SOC constraint form; and S4, integrating the second-order cone constraint into the frequency constraint optimization model, combining the second-order cone constraint with other constraints, and solving the target function by using a CPLEX commercial solver to obtain an optimization scheme. By implementing the method, on the premise that the complexity of the model is not increased, rapid solving of the frequency constraint optimization problem can be achieved, the frequency stability of the power system under large disturbance is improved, and the method is suitable for scenes such as power generation dispatching and standby planning.

This invention discloses a multi-stage wind and solar power integration method for DC transmission channels. The method involves acquiring DC transmission channel data; establishing models of the DC transmission channel, sending-end grid, and receiving-end grid based on the data; and establishing a decision model for DC transmission channel renewable energy integration. This invention uses surrogate affine approximation technology to solve the model, outputting two-region planning, trading, generation, and transmission dispatch schemes. This invention demonstrates advantages in solving performance indicators and the feasible region of the problem, and also illustrates the effectiveness of the algorithm in assisting renewable energy integration. It can be applied to DC transmission channel planning, the coordinated allocation of sending and receiving end flexibility resources in the operational field, renewable energy integration, renewable energy integration boundary solving, and DC transmission channel (tethering line) power planning, etc.

The utility model discloses a kind of powder uniform cloth anti-accumulation adjusting devices, it is related to processing equipment technical field, including powder tank and stirring device, the powder tank top one end is provided with feed inlet, the stirring device includes stirring rod, the stirring rod is located inside powder tank, motor works and is rotated by shaft stem to drive main gear, main gear drives the rotation of meshed from gear, from gear drives stirring rod, scraper rotation, to carry out anti-accumulation stirring to powder in powder tank, when stirring and discharging, after the electric telescopic rod in rear hanging pipe works and is resisted to traction rod and moves to the end close to scraper or the direction of the end away from scraper retracts, the advance and retract of scraper enable its distance between inner wall of powder tank change, this kind of real-time adjustment stirring position mode can avoid the condition that slightly accumulation appears in powder tank, and solve efficiency faster.

The application relates to a wing surface folding mechanism design method based on a plane intersection, taking an original point of the wing surface folding mechanism as a coordinate system original point O, establishing an X axis along a span direction of the wing surface in a folding state, establishing a Y axis along a radial direction of an aircraft, determining a Z axis by a right-hand rule method, and establishing a coordinate system OXYZ; in the coordinate system OXYZ, a direction vector along the span direction of the wing surface in the folding state and a direction vector along a wing surface normal are determined, a direction vector along the span direction of the wing surface in an unfolding state and a direction vector along the wing surface normal are determined according to a backward sweep angle, a perpendicular bisector M of the angle and a perpendicular bisector N of the angle are determined, a line intersection of the perpendicular bisector M and the perpendicular bisector N is taken as a rotating axis of the wing surface folding mechanism, and a direction vector of the rotating axis is calculated; and the direction vector is taken as a rotating shaft of the wing surface folding mechanism with the coordinate system original point O as a starting point. The method is simple, has small calculation amount, is easy to realize, has wide applicability, and has good universality.

The invention discloses a three-dimensional component layout double-layer optimization method based on an improved differential evolution algorithm, and relates to the technical field of satellite component layout, and the method comprises the steps: obtaining a to-be-installed satellite component and a component layout space, carrying out the upper-layer distribution optimization of the satellite component based on the component layout space based on the improved differential evolution algorithm, and obtaining a to-be-installed component layout space; obtaining an optimal distribution scheme; when the satellite components arranged according to the optimal distribution scheme meet the stability requirement, obtaining a component arrangement scheme; and performing lower-layer position optimization according to the component layout scheme based on the mixed integer linear programming model, and generating a satellite component layout position scheme. According to the invention, on the basis of the upper-layer distribution optimization of the improved differential evolution algorithm and the lower-layer position optimization of the mixed integer linear programming model, the rapid solution of the satellite component based on the component layout space is realized, the layout position scheme of the satellite component is obtained, and the overall optimization of the layout and the position of the satellite component is further realized.