43 results about "Problem solution" patented technology

Example systems perform complex optimization tasks with improved efficiency via neural meta-optimization of experts. In particular, provided is a machine learning framework in which a meta-optimization neural network can learn to fuse a collection of experts to provide a predicted solution. Specifically, the meta-optimization neural network can learn to predict the output of a complex optimization process which optimizes over outputs from the collection of experts to produce an optimized output. In such fashion, the meta-optimization neural network can, after training, be used in place of the complex optimization process to produce a synthesized solution from the experts, leading to orders of magnitude faster and computationally more efficient prediction or problem solution.

This invention provides a method for constructing boundary conditions for a superhydrophobic cylindrical surface based on OpenFOAM, comprising the following steps: (1) reading the parameter setting file; (2) obtaining the position of the center of the cylindrical surface; (3) finding the position of the center of the first layer of grid near the cylindrical surface and its tangential velocity; (4) finding the position of the center of the second layer of grid near the cylindrical surface and its tangential velocity; (5) calculating the sum of the distances between the center of the cell and the center of the cylindrical surface; (6) calculating and updating the velocity of the cylindrical surface; (7) performing flow numerical simulation, repeating S2~S7 until the calculation is completed. This invention is based on OpenFOAM and has been further developed to construct a superhydrophobic surface boundary condition suitable for flow around a cylinder. This boundary condition supports parallel computation of the entire calculation process, improving computational efficiency and the scale of the problem solution.

The invention relates to the technical field of biomolecule electrostatic characteristic prediction, and discloses a partial differential equation solving method based on a finite volume element method. According to the method, an unstructured grid matched with a biomolecular interface is constructed, a solution of a Poisson-Boltzmann equation (PBE) is separated into an analytical solution G, a linear interface problem solution psi and a nonlinear interface problem solution by adopting a decomposition technology, and a non-homogeneous flux condition at the interface is processed by utilizing a controlled volume decomposition technology; linear and nonlinear problems are solved through a finite volume element method, and final electrostatic potential distribution and solvation free energy are obtained through assembling. The method solves the problems of insufficient precision and low efficiency when a traditional numerical method is used for processing a complex interface non-homogeneous flux condition, has second-order L2 convergence and first-order H1 convergence, and can be efficiently applied to the biophysical research fields such as protein solvation free energy prediction and the like.

The invention discloses a large-scale disassembly line balance optimization system and method based on transfer learning. The system comprises a single-target optimization module used for correspondingly storing each single-target problem optimization solution to an independent knowledge base; the multi-objective optimization module is used for performing multi-objective problem optimization by using an evolutionary algorithm; the mapping relation building module is used for building an integer type mapping relation from each single-target problem solution set of the current generation to a multi-target problem solution set when transfer learning is triggered; and the transfer learning execution module is used for obtaining a transfer solution on the multi-target problem according to the multiple single-target problem optimization solutions in the independent knowledge base and the integer type mapping relation, and obtaining an initial population of next-generation multi-target problem optimization according to the transfer solution. Based on a transfer learning mechanism and an evolutionary algorithm, the problem of large-scale disassembly line balance optimization under the conditions of discrete decision space, high variable correlation and complex constraint is effectively solved, algorithm convergence is remarkably accelerated, and the solution set quality is improved.

The invention discloses a robust self-interference suppression beamforming method based on a multi-missile collaborative scene, which comprises the following steps of: considering a non-ideal condition, constructing a coupling channel model containing a circular symmetry Gaussian distribution error, and constructing an expression of power of a transmitting signal and a self-interference signal. Based on a self-interference signal power expression, an optimization problem for self-interference suppression transmitted beam forming with robust estimation errors is constructed; wherein the optimization target is set to maximize the transmitting beam gain; the set constraint condition is that it is ensured that the power of self-interference signals coupled to all receiving array elements in the receiving sub-arrays is smaller than a set upper limit threshold value; and transmitting link full-feed power upper limit constraint. According to an optimization problem, an original non-convex opportunity constraint problem is converted into a convex problem to be solved through an approximation method of positive semi-definite relaxation and a Bernshi inequality, so that a transmitted beam weight vector solution is obtained, the robust self-interference suppression capability under a non-ideal coupling channel is realized, and normal receiving of a desired signal is ensured.

The invention discloses a prompt optimization method and system for a large language model of an electric power system. The method comprises the following steps: acquiring data information of a target electric power system and data information of a corresponding large language model; constructing an initial prompt population of a fault diagnosis task of the target power system, and generating a diversified strategy in combination with domain problem description and a general thinking mode; performing mutation operation on the task prompt through a large language model to generate a variant adapted to a specific scene; screening to obtain a power grid problem solution by adopting a tournament selection mechanism; adjusting the strategy of the next round of evolution based on population KL divergence analysis; and prompt optimization of the large language model of the target power system is realized. According to the method, the prompt optimization of the large language model of the electric power system is realized, the reliability is higher, the accuracy is better, and the applicability of the scheme is better.

The invention discloses a road network quality optimization method and device and electronic equipment. The method comprises the following steps: acquiring poor-quality data in a road grid network; processing the poor-quality data through a drive test agent according to a ReAct mechanism, and generating a problem solution corresponding to the poor-quality data; whether the problem solutions can meet preset requirements or not is judged, if the problem solutions cannot meet the preset requirements, defects existing in the reflection problem solutions are simulated, and according to the defects, the problem solutions corresponding to the poor-quality data are iteratively generated; if the maximum number of iterations is reached or the problem solution can meet a preset requirement, confirming the problem solution as a target solution; and optimizing the poor-quality data according to the target solution, thereby realizing road network quality optimization based on the road test agent ReAct mechanism. The method can improve the efficiency and accuracy of road network quality optimization.

Systems and methods for automatically identifying and resolving problem instances in data service workloads are disclosed. In some embodiments, a disclosed method includes: identifying a problem instance for a workload associated with a plurality of data service platforms; determining, using at least one machine learning model, a problem solution based on the problem instance and a catalog of problem solutions; executing the problem solution including operations across the plurality of data service platforms; and recovering the workload in accordance with a determination that the problem instance is resolved by the problem solution.

The application discloses a signal analysis method, system, device and medium based on quadratic constraint quadratic programming problem solution prediction, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring a target programming problem of a power transmission signal, wherein the target programming problem comprises a quadratic objective function and a quadratic constraint condition; encoding the quadratic objective function and the quadratic constraint condition to generate a target tripartite graph of the target programming problem; inputting the target tripartite graph into a message passing model; analyzing a plurality of nodes in the target tripartite graph and feature edges between the plurality of nodes by using the message passing model to obtain problem attributes of the target programming problem output by the message passing model, wherein the problem attributes comprise feasibility, an objective value and an optimal solution; and performing signal analysis on the power transmission signal based on the problem attributes. The method can process quadratic constraint quadratic programming problems in real time, and improves the analysis efficiency of the power transmission signal.

The invention discloses a visual shared whiteboard system and method for solving a group collaboration mathematical problem, and belongs to the technical field of computer science and human-computer interaction crossing. The system comprises a multi-modal fusion input module used for converting input such as handwriting and voice into a structured mathematical object; the real-time semantic understanding and knowledge graph engine is used for constructing a collaborative cognitive model; the collaborative process management module based on the directed hypergraph is used for carrying out formalized modeling and navigation on a nonlinear problem solving process; the context-aware intelligent auxiliary module is used for providing verification, recommendation and guiding consensus achievement; and a multi-user cooperation engine ensures stable cooperation experience. According to the method, the problems of professional expression, real-time cooperation splitting, group thinking process management difficulty and the like are solved, and a unified, intelligent and efficient integrated cooperation environment is provided for group solving of complex mathematical problems.

According to the circulating mill disclosed by the invention, the internal circulating pipe interface is arranged in the area between the axial projection line of the impeller air inlet on the front cover or the rear cover and the axial projection line of the centrifugal fan inlet along the impeller, so that new problems brought by a grading problem solution constructed for solving the high pressure problem in the circulating mill in the background art are eliminated; and the pressure in the circulating mill is reduced, so that the rotating resistance of the impeller is reduced, and the energy consumption of the mill is reduced.

The invention discloses a distribution network planning problem automatic allocation solution measure algorithm library based on artificial intelligence, which comprises the steps of constructing a distribution network planning typical problem definition standard library model, constructing an artificial intelligence algorithm library, automatically analyzing distribution network planning typical problem solution measures, and automatically distributing the distribution network planning typical problem solution measures. The method comprises the following steps: automatically analyzing power distribution network planning typical problem solving measure process visualization, machine learning and deep learning analysis engine, intelligent fault problem positioning, artificial intelligence-based dynamic load problem prediction, and transformer area low voltage problem cause intelligent analysis. According to the distribution network planning problem automatic allocation solution measure algorithm library based on artificial intelligence, a unified problem definition standard library is established, the definition standard of the distribution network planning problem is standardized, and the early-stage planning analysis efficiency and accuracy of a power grid can be improved; and power grid planning and construction can be guaranteed, and disaster prevention and reduction power supply planning and construction can be promoted actively.

The application discloses a new energy automobile product whole life cycle problem management method based on a knowledge graph, which comprises the following steps: step one: inputting a problem, searching the problem in a historical problem database to determine whether the problem is a repeated problem; if yes, step seven is executed; if no, step two is executed; step two: classifying the problem based on professional knowledge and experience to determine the type and nature of the problem; step three: finding measures for solving the problem in the historical problem database and proposing a problem solution; step four: evaluating the feasibility and effectiveness of the proposed problem solution; if the evaluation is passed, step five is executed; if the evaluation is not passed, step three is executed; step five: practically verifying the problem solution; if the verification is passed, step six is executed; if the verification is not passed, step three is executed; step six: uploading problem data to a data center to update the historical problem database; and step seven: completing the problem solution.

Disclosed, according to one embodiment of the present disclosure, is a method, performed by a computing device, for generating feedback information for a problem solution. The method may comprise the steps of: obtaining model answer information items related to a problem; generating reference answer information items on the basis of the model answer information items by using an artificial intelligence model; obtaining user input information items related to a solution of the problem; and generating feedback information for any one of the user input information items by associating the user input information items with the reference answer information items.

An optimization device (10) comprises: a solution procurement unit for obtaining an original problem solution that satisfies a boundary condition of a combinatorial optimization problem containing a plurality of objective factors to be combined; a subproblem generation unit (12) for dividing the plurality of objective factors into a plurality of groups based on the original problem solution and for generating a subproblem set for each of the plurality of groups; a subproblem solution unit (13) for finding a solution for the subproblem generated by the subproblem generation unit; an inverse transformation unit (14) for generating a candidate solution for the original problem based on the solution of the subproblem obtained by the subproblem solution unit;and a solution update unit (15) for determining whether it is possible or not to update the original problem solution based on the result of a comparison between the candidate solution generated by the inverse transformation unit and the original problem solution obtained by the solution procurement unit.

The application discloses a kind of open-pit mine horizontal mining inner discharge pressure slope under the action of three-dimensional stability calculation method of side slope, comprising: S1, according to the form of the side slope of the mining area in the research area, weak layer of sliding body and potential sliding surface form, using three-dimensional numerical simulation technology, potential sliding surface spatial form equation is established;S2, based on spatial form equation, the side slope is divided into several i rows, j column micro column, and the stress analysis is carried out to each micro column, respectively calculate the anti-sliding force and the sliding force of each micro column in each region;S3, the force of each row micro column is superimposed along the main sliding line direction, and the total anti-sliding force and the total sliding force on the main sliding line are obtained;S4, three-dimensional slope stability problem is converted into two-dimensional problem solution, and the stability coefficient is calculated using unbalanced thrust method, and the application can provide important theoretical support and technical guidance for safe and efficient recovery of deep slope coal resources.

The invention discloses a new energy station frequency-voltage control parameter feasible region calculation method, and belongs to the technical field of new energy power systems. The invention discloses a new energy station frequency-voltage control parameter feasible region calculation method. The method comprises the following steps: constructing a new energy station model considering frequency-voltage combined control; a two-stage optimization model is constructed, the first stage is a main problem, and a feasible region of frequency voltage control parameters is maximized under constraint conditions; the second stage is a sub-problem, and the feasibility of the main problem solution is verified by using the solving result of the target function; and solving the two-stage optimization model by utilizing a column and constraint generation algorithm. According to the new energy field station frequency-voltage control parameter feasible region calculation method, through collaborative optimization of the main problem and the sub-problems, the feasible region of the control parameters is expanded as much as possible on the premise that the frequency and the voltage are not out of limit, and the flexibility and the robustness of the system are improved.

A processor according to the present invention receives submission input of problem solution data from one or more creators, extracts features of the submitted problem solution data, receives user input of a query pertaining to a problem or a desired solution, extracts features of the query, calculates a similarity between the features of the problem solution data that has been input through the submission and the features of the query, and outputs solution data as a proposal to the user in accordance with the similarity.

The application discloses a kind of reservoir group multi-objective scheduling cooperation search method and system, comprising the following steps: ① based on the basic information of reservoir establishes cascade reservoir multi-objective scheduling model;② constraint condition is added to model;③ construct a kind of reservoir group multi-objective scheduling cooperation search method and system solve reservoir optimal scheduling scheme, by using team communication strategy, internal competition strategy in the whole solution space is widely searched, simultaneously by self-learning strategy and self-adapting jump out local optimum strategy jump out local optimum, realize the dynamic balance of global exploration and local exploration.The application can effectively improve reservoir group scheduling calculation efficiency, quickly give reservoir group scheduling scheme set, with less calculation parameters, convergence speed is fast, global optimization ability is strong and not easy to fall into local optimum and the like advantage, while avoiding complex parameter adjustment process, programming is simple to realize, widely applicable scene, for complex reservoir group multi-objective engineering problem solution provides more effective technical method.

A method includes obtaining a sequence of instructions for generating a final result of a computation from a large language model by processing a user prompt requesting the computation. The method further includes converting the sequence of instructions to a sequence of mathematical expressions. The method further includes evaluating, by a numerical solver, the sequence of mathematical expressions to obtain a corresponding set of intermediate results. The method further includes evaluating the final result using the corresponding set of intermediate results, and presenting the final result.

An optimizing apparatus includes processing circuitry configured to: acquire an original-problem solution which is a solution satisfying a constraint of a combinatorial optimization problem including a plurality of target factors to be combined; divide the plurality of target factors into a plurality of groups on a basis of the original-problem solution, and generate a subproblem being set for each of the plurality of groups; find a solution to the subproblem generated by the subproblem generating unit; generate a candidate solution to the original problem on a basis of the obtained solution to the subproblem; and determine whether it is possible or not possible to update the original-problem solution on a basis of a result of comparison between the generated candidate solution and the acquired original-problem solution.

This invention discloses an automatic roadmap construction method for engineering problem solving based on a large language model. The invention constructs a skill point repository dataset and an expert-verified roadmap dataset. An automatic roadmap construction model is built based on these datasets. A pre-defined complex engineering problem is input into the automatic roadmap construction model. An initialization agent generates an initial roadmap. A knowledge agent enhances the initial roadmap by combining internal and external knowledge. A logical critique agent and a granular critique agent critique the logical structure and task node decomposition granularity of the roadmap, respectively. A revision agent improves the roadmap based on the critique results. The improved roadmap is evaluated, and if it reaches a preset passing score, a structured roadmap for solving the complex engineering problem is output. This invention effectively addresses the shortcomings of existing technologies in cultivating the ability to solve complex engineering problems.

The solution to the problem of minimizing an objective function involving a huge number of decision variables is calculated in a realistic time. [Solution] A problem solving device generates a trunk instance including a trunk objective function and a trunk constraint set, and M branch instances each including a branch objective function and a branch constraint set, by exclusively dividing each of multiple terms included in a main problem objective function and a main problem constraint set. A processing unit generates a common decision variable set including decision variables used in common by the two instances. For each of the M branch instances, the processing unit generates a branch candidate vector representing a solution that minimizes the branch objective function under constraints that fix the values ​​of decision variables included in the common decision variable set to values ​​included in the common candidate vector. The processing unit outputs a main problem solution vector including the trunk candidate vector and a branch candidate vector for each of the M branch decision variables.

The invention discloses a construction method based on BIM (Building Information Modeling) technical error analysis, plane fitting and drawing ordering, and belongs to the technical field of building construction. The method aims at solving the problems that in traditional decoration construction, manual actual measurement efficiency is low, data precision is poor, and manual drawing is slow, and comprises the specific steps that civil engineering control points are rechecked, and it is ensured that a measurement datum is accurate; the measurement target paper is pasted to provide reference for scanning; performing three-dimensional scanning to obtain point cloud data of the construction area; performing deviation collision detection to generate a deviation report; scheme optimization confirmation is carried out, and a problem solution is determined; checking by using a re-ruler to ensure the data accuracy; carrying out reverse modeling to generate an accurate three-dimensional model; and performing plane drawing to obtain a construction drawing.

An object of a system according to an embodiment is to efficiently perform a quality check before a product is released.SOLUTION: A system according to an embodiment includes a user viewpoint simulation unit, a problem solving confirmation unit, and an operability confirmation unit. The user viewpoint simulator simulates a user viewpoint. The problem solution confirmation unit confirms the rationality of the problem solution, which is the essence of the service, based on the operation procedure simulated by the user viewpoint simulation unit. The operability confirmation unit confirms the operability at the user's viewpoint based on the operation procedure simulated by the user's viewpoint simulation unit.SELECTED DRAWING: Figure 1

The application provides a problem solution recommendation method and system, an electronic device and a storage medium, relates to the technical field of computers, solves the problem that the expression ability of a logic regression model is weak when the best solution of a problem customer is automatically recommended, and the method comprises the following steps: taking target customer attribute features and target cross multi-dimensional features corresponding to a target problem customer as input to perform solution theme prediction, obtaining a plurality of to-be-recommended solution themes, and ranking the plurality of to-be-recommended solution themes according to an improvement probability; and taking a to-be-recommended solution theme ranked at a target position as a target solution theme to be recommended to a target recommendation terminal. Through the above recommendation method, the application can automatically recommend a solution with a high improvement rate according to a newly mined problem customer, effectively improves the problem solution efficiency of the problem customer, and achieves quick and comprehensive solution of the problem.

The application is suitable for the field of power grid intelligent retrieval technology, and provides a power grid field problem intelligent retrieval method, device and terminal equipment. The method comprises the following steps: acquiring a power grid knowledge database and a power grid field problem proposed by a user; performing word segmentation and character segmentation on the power grid field problem proposed by the user to obtain a plurality of characters, a plurality of words and a plurality of word groups, wherein the plurality of word groups are composed of any word in the plurality of words and the word adjacent to the any word; obtaining a first theme entity based on the plurality of characters, the plurality of words, the plurality of word groups and a power grid field high-frequency word dictionary, wherein the power grid field high-frequency word dictionary is constructed based on a plurality of power grid field problems and a plurality of problem solutions; and matching the first theme entity based on the power grid knowledge database to obtain a solution to the power grid field problem proposed by the user. The application can improve the accuracy of intelligent retrieval of power grid field related problems.

This invention relates to the fields of artificial intelligence and natural language processing technology, and discloses a question-answering method and system for tunnel surrounding rock that integrates knowledge graphs and semantic retrieval. It aims to solve the problems of missing logical connections, insufficient authority, and semantic bias in existing methods. The solution mainly includes: constructing an industry-standard question-answering pair dataset, a vector index library, and a knowledge graph entity library; receiving user queries and extracting key entities and intent tags; performing a three-hop neighborhood traversal to generate a structured logical chain, and simultaneously performing semantic similarity retrieval to recall semantically relevant text fragments; using the structured logical chain to perform background completion and conflict verification on the recalled fragments, and fusing the processed fragments with the structured logical chain to form a fused evidence chain; applying compliance constraints to the fused evidence chain to generate the final answer. This invention achieves deep logical reconstruction and accurate semantic matching, effectively suppressing knowledge illusions, and is particularly suitable for tunnel surrounding rock engineering design.

The invention relates to the technical field of two-dimensional rectangular part nesting, in particular to an intelligent two-dimensional rectangular part nesting method based on deep reinforcement learning, which comprises the following steps of: converting a two-dimensional rectangular part nesting problem into a combined optimization decision problem containing a target function and a constraint condition, constructing a deep reinforcement learning framework by adopting a PPO (Point-to-Point-Oriented) algorithm, and obtaining a two-dimensional rectangular part nesting result; and part positioning based on NFP and BL fusion. According to the two-dimensional rectangular part intelligent nesting method based on deep reinforcement learning, autonomous learning is realized through a deep reinforcement learning framework, a strategy is optimized from historical experience, repeated calculation is avoided, performance is continuously improved, quality and efficiency are solved in a balanced mode through a PPO algorithm and a pointer network, a large-scale problem scheme is output in a second level, the generalization ability is high, and the method is suitable for popularization and application. The method adapts to tasks of different scales and shapes, a multi-dimensional reward function flexibly responds to an optimization target, trepanning is regarded as a sequence decision, and the material utilization rate is effectively improved.

An object of the system according to the embodiment is to improve the efficiency of business by obtaining expert knowledge even in a company with budget constraints.SOLUTION: A system according to an embodiment includes an expert knowledge providing unit, a work efficiency improvement proposal unit, and a problem solution support unit. The expert knowledge providing unit provides expert knowledge for a question or a problem of a company. The business efficiency improvement proposal part analyzes the business process on the basis of the expert knowledge provided by the expert knowledge provision part, and proposes efficiency improvement. The problem solution support unit proposes a solution to a specific problem based on the efficiency promotion plan proposed by the work efficiency promotion proposal unit.SELECTED DRAWING: Figure 1