416results about How to "Improve solution efficiency" patented technology

The invention relates to the technical field of program exception positioning, in particular to an AI-based data interface program exception fault pre-positioning algorithm, which comprises the following steps: S1, data stream pre-analysis; s2, capturing an abnormal signal; s3, performing abnormal clustering and feature extraction; s4, interface behavior modeling is carried out; s5, abnormal traceability positioning; s6, generating a self-adaptive repair suggestion; s7, performing feedback circulation and continuous learning; and S8, performing visualization and report generation. Through the steps of data stream classification, key field extraction, behavior modeling and the like, the system can accurately capture abnormal signals in mass data, meanwhile, an abnormal mode is visually displayed through clustering analysis and a dimension reduction technology, a reliable foundation is laid for subsequent positioning and repairing, and in addition, the method has the advantages of being high in practicability and easy to popularize. The abnormal source is quickly positioned by adopting methods such as topological sorting and causal network reasoning, the false alarm rate and the missing report rate in the positioning process are effectively reduced by combining a sliding window and time sequence analysis, and the problem solving efficiency is greatly improved.

The embodiment of the invention discloses a low-orbit navigation enhanced transmitting terminal time difference calibration method, device and equipment and a medium, and relates to the technical field of satellite navigation, and the method comprises the steps: obtaining a low-orbit satellite satellite-borne receiver clock error, ground observation station coordinates, an observation station receiver clock error and other parameters through calculation of observation data of a GNSS satellite; the ground observation station calculates an inter-system deviation between a low earth orbit satellite system corresponding to each low earth orbit satellite and a GNSS system according to the downlink navigation data of each low earth orbit satellite; and selecting one low-orbit satellite as a reference satellite, obtaining the deviation between reference systems, calculating the time deviation of the navigation enhancement transmitting end of the deviation between other systems and the deviation between the reference systems, and compensating the clock error of the corresponding low-orbit satellite based on the parameter. The method can be used for calibrating the relative time difference of each low-orbit satellite navigation signal transmitting end, realizes low-orbit navigation signal time synchronization, is beneficial to improving the positioning, navigation and time service capabilities of a low-orbit satellite system, and provides more accurate services for users.

The invention relates to a multi-mode AIGC cold-chain logistics path optimization decision-making method and a multi-mode AIGC cold-chain logistics path optimization decision-making system. The method comprises the following steps: inputting position data, temperature data, road condition data and weather data in a cold-chain logistics system into an AIGC model of a stack auto-encoder for feature extraction and reconstruction error calculation to obtain a feature index set; performing space-time interval division and similarity matching on the cold chain distribution path to obtain an interval reference path library; inputting a hierarchical control model for stage processing to obtain an initial control parameter; an objective function including temperature constraint, time window constraint and vehicle dynamics constraint is constructed for solving, and a path optimization scheme is obtained; performing road condition random disturbance and temperature fluctuation influence analysis to obtain a path risk scoring index; and performing feedback correction and iterative optimization on the initial control parameter to obtain a target control parameter. According to the invention, the temperature control precision is ensured, and the distribution efficiency and the system reliability are effectively improved.

The invention discloses a numerical control machine tool motor operation monitoring method and system based on data analysis, which are used in the field of motor monitoring and fault diagnosis, and the method comprises the steps: collecting working condition data corresponding to the operation process of a numerical control machine tool motor; establishing a temperature change trend model, and predicting temperature change conditions of the motor of the numerical control machine tool under different working conditions; combining the extracted frequency and amplitude with the prediction result of the temperature trend model, and judging the current operation state of the numerical control machine tool motor; and setting a threshold value of the working condition data, comparing a classification analysis result with a preset threshold value, and automatically triggering a multi-stage early warning mechanism when monitoring that the working condition data of the motor of the numerical control machine tool exceeds the threshold value. According to the method, preventative maintenance is realized, sudden faults are avoided, the motor is ensured to operate under efficient and stable conditions by determining the optimal electrical working range and real-time monitoring data, energy consumption is reduced, the service life of equipment is prolonged, and intelligent motor state analysis and prediction are realized.

The invention discloses an active power distribution network two-stage island division method and system considering flexible resource support. The method comprises the following steps: establishing a first resource allocation model considering energy storage and controllable load, the first resource allocation model comprises energy storage battery charging and discharging upper and lower limit constraints, an energy storage battery degradation cost model, a controllable load model and a controllable load related user protocol; obtaining parameter data of a target power distribution system, wherein the parameter data comprises a line parameter, a load level, a load level, a network topology connection relationship, a system operation voltage level and branch current limitation, a system fault position, a reference voltage and a reference power initial value; and according to the parameter data, establishing a mathematical model for two-stage island power supply recovery based on a first resource allocation model. The method for solving the island is simple and convenient, the island recovery amount can achieve the optimal recovery effect, meanwhile, the search time is greatly shortened, the solving efficiency is higher, and the rapid power supply recovery capacity of the power distribution network is improved.

The invention relates to the technical field of cloud manufacturing, in particular to a real-time order receiving and scheduling method and system for a flexible job shop. Comprising the following steps: extracting related data from a production site, and constructing a flexible job shop environment model according to the related data; an agent decision model is constructed, a corresponding DQN algorithm model is constructed, and the DQN algorithm model comprises an order acceptance DQN and a scheduling DQN; on the basis of interaction with the intelligent agent, training an order acceptance DQN algorithm model and a scheduling DQN algorithm model, the training of the order acceptance DQN being completed on the basis of the scheduling DQN having a good effect; and deploying the trained order acceptance DQN and the scheduling DQN to make a decision. According to the method, comprehensive fine consideration of the external production capacity and the expected available production capacity of the actual production workshop is added, a high-customization order-oriented order acceptance decision and production logistics collaborative scheduling real-time comprehensive scheduling model is established, the deviation of real-time acceptance decision is reduced, and more efficient and scientific management and control of the production process are realized.

The invention relates to the field of logistics distribution methods, and discloses a production distribution optimization method based on an improved genetic algorithm, comprising a genetic algorithm unit and an adaptive large neighborhood search algorithm unit, the genetic algorithm unit comprises the following steps: using a mixed three-layer vector to represent chromosomes, a chromosome is represented by a 3 * n matrix, a first-layer vector represents an order production scheduling sequence, namely, an order production sequence, a second-layer vector represents a machine number for producing the order, and a traditional genetic algorithm and an adaptive large-field search algorithm are combined, so that the algorithm can be prevented from falling into local optimum, and the efficiency of the algorithm is improved. And meanwhile, the algorithm solving efficiency and quality can be improved, on the basis of the intelligent algorithm, an accurate solving algorithm is added, the distribution route of each vehicle is solved by using the accurate algorithm, the optimal driving route of each vehicle is obtained, and then chromosomes of individuals are updated, so that the algorithm can find the optimal solution more quickly.

The invention belongs to the technical field of building construction safety management, and provides a construction safety early warning method and system based on mixed reality, and the method comprises the steps: converting the longitude and latitude of geographic coordinate system data into plane coordinates, and converting the plane coordinates into a local coordinate system of a spatial mapping grid formed by simultaneous positioning and a map construction technology; through coordinate transformation, geographic coordinate system data can be accurately mapped into a model space coordinate system of the mixed reality equipment, the limitation that external high-precision positioning data are difficult to integrate in a traditional mixed reality technology is broken through, and high-precision equipment positioning is realized; meanwhile, an initial weight value is distributed to each grid unit in the space mapping grid, the weight is dynamically adjusted to change the size of the grid, dynamic management of space mapping grid data is achieved, detailed real space mapping grid data can be reserved after initial alignment is carried out through the space mapping capacity of mixed reality equipment, and the space mapping capacity of the mixed reality equipment is improved. And a data basis is provided for subsequent dynamic collision detection.

The invention relates to the technical field of new energy wind power, in particular to a wind power plant wake flow prediction method based on LBM-LES, and the method comprises the following steps: (1) obtaining wind resources and wind power plant topographic data, and constructing a wind power plant computational domain; (2) applying boundary conditions and material parameters: applying the corresponding boundary conditions to the computational domain according to the data obtained from the step (1), and endowing the material parameters; (3) embedding an LES large eddy simulation model in the LBM through the effective viscosity in the collision model, and meanwhile, dispersing a lattice Boltzmann equation and solving the lattice Boltzmann equation; the method has the advantages that a complex macroscopic flow motion equation does not need to be solved, instead, the lattice Boltzmann equation of the mesoscale is solved, and compared with a traditional method, the solving efficiency is greatly improved; secondly, a wind turbine is simulated by adopting a rotary actuating disc method, so that a wind power plant wake flow simulation result is closer to a real wind field, and the calculation precision is remarkably improved.

The invention provides a stratosphere aircraft cross-day and cross-night task trajectory planning method and system in a dynamic wind field environment. The method comprises the steps that a task target and task constraints are acquired; acquiring external wind field information; constructing a motion model and a cost function of the stratosphere aircraft in the dynamic wind field; and outputting the lowest feasibility requirement of the cross-day and cross-night task under the dynamic wind field condition and the optimal trajectory when the task is completed by using a level set method in combination with particle swarm optimization. The method has the advantages that a combination framework of the level set algorithm and the particle swarm algorithm is innovatively provided, the problem that the level set algorithm has strong dependence on initial conditions is solved, meanwhile, the search space dimension is reduced, and the probability that the algorithm falls into a local optimal solution is reduced; by flexibly designing a fitness function, conditions such as speed constraint, energy consumption constraint and task feasibility of a stratosphere aircraft cross-day and cross-night arrival or residence task can be comprehensively considered, and the globality and constraint compatibility of trajectory optimization are realized.

The invention discloses a matrix completion sparse meshless chromatography SAR (Synthetic Aperture Radar) super-resolution three-dimensional imaging method, which comprises the following steps of: constructing a multi-channel observation vector in a data field, and then further constraining an observation signal in an MMV (Modulation Modulation Virtualization) into a Hankel Lift matrix with a joint low-rank structure characteristic by utilizing an elevation consistency hypothesis between neighborhood pixels. And constructing a corresponding low-rank matrix completion model in combination with the tomographic SAR signal model. And modeling is carried out on the joint matrix completion problem. The model is solved based on a symmetric projection gradient descent algorithm, Root-Music solution is utilized to obtain elevation normalization frequency, the normalization frequency is inverted to obtain elevation information, and a scene three-dimensional imaging result is obtained by combining distance-orientation two-dimensional information of a target scene. According to the method, the elevation information of the tomographic SAR model is solved through a joint matrix completion method, tomographic SAR three-dimensional point cloud imaging is realized, a clear and complete imaging result is obtained, and a good miscellaneous point suppression effect is achieved.

The invention provides a parallel iteration solving method and system for an electromagnetic finite element equation set, and relates to the technical field of electromagnetic finite elements, and the method comprises the steps: constructing a to-be-solved electromagnetic finite element equation set # imgabs0 #; dividing the electromagnetic finite element equation set into a plurality of calculation sub-tasks, and distributing a sub-matrix block # imgabs 1 # and a sub-right-end item vector # imgabs 2 # of the sub-tasks to each process in the super computer; by means of the initialized Hoseholder-GMRES algorithm, the processes are subjected to subtask calculation in parallel, and the local optimal solution # imgabs3 # of each process is obtained; summarizing the local optimal solution # imgabs4 # of each process to obtain an optimal solution # imgabs5 # of the electromagnetic finite element equation set; according to the method, the electromagnetic finite element, the Householder-GMRES algorithm and parallel computing are combined, and the solving efficiency of the linear equation set of the electromagnetic finite element is improved by utilizing a parallel optimization technology.

The invention discloses a water resource optimization regulation and control method for a long-vine melon-bearing water network irrigation system. The method comprises the following steps: (1) establishing a generalized and network topological relation between a water supply end, a water taking end and a water transmission and distribution end of the long-vine melon-bearing water network system; (2) designing a three-layer hierarchical control structure of'total adjustment, sub-adjustment and self-adjustment 'according to the concept of'multi-level hierarchical control structure'; wherein the total regulation layer is used for dispatching a backbone water source, and water is lifted to a key node of each backbone branch canal through a canal head pump station; the water quantity is dispatched to a water distribution point of each branch canal by the'branch dispatching layer '; the'self-adjusting layer 'forms a point-to-point relationship among a plurality of water distribution points of the main and branch canals, local ponds, namely low watermelons, and water users, so that the redistribution of water is carried out; (3) constructing a long-vine melon-bearing reservoir-canal combined multi-target water resource optimization regulation and control model, and performing solution by using NSGA-II, the model comprising: determining decision variables, establishing a target function, and constructing constraint conditions; scientific basis is provided for water resource optimization regulation and control of the long-vine melon-bearing water network irrigation system.

The invention belongs to the technical field of computers, and relates to a system exception positioning notification method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining complete log information; log extraction parameters are obtained, target log information is obtained through screening, multi-channel log analysis and integration are carried out, and a target analysis result is obtained; obtaining abnormal feature information and abnormal stack information according to the target analysis result, obtaining code features based on the abnormal feature information, and accessing a code warehouse based on the abnormal stack information and the code features to position abnormal codes and positions thereof; obtaining code replacement historical data of the abnormal code to position developer information before the abnormality occurs, and taking a corresponding developer as a target object; and rating the exception according to the target analysis result, generating notification information according to the rating, the exception code and the position of the exception code, and sending the notification information to the target object. According to the invention, targeted notification and reminding can be carried out, and the abnormal problem solving efficiency is improved.

The invention provides a rapid modeling simulation method based on a time domain hybrid finite element method and a circuit simulator SPICE. The rapid modeling simulation method is used for analyzing transient linear / nonlinear and passive / active complex microwave network circuit models on a PCB. The method comprises the following steps of: constructing an electromagnetic module of a microwave network circuit in computer aided design software, writing an SPICE netlist of the circuit module, and realizing interaction between the electromagnetic module and the circuit module through voltage and current defined on a lumped port, so as to obtain a complete circuit structure; in the electromagnetic part, a modal order reduction technology based on a second-order Arnoldi algorithm is adopted to reduce the order of a wave equation to a low-dimensional Krylov subspace for solving, and the data interaction process of the electromagnetic part and the circuit part in each time step length is obviously accelerated; in the time domain hybrid finite element method, the tree-cotree technology is adopted to overcome the problem of low-frequency breakdown or high-density breakdown occurring in the time domain finite element method; a circuit simulator SPICE enables a joint simulation algorithm to be powerful, and a complex multi-port circuit can be simulated.

The invention discloses a non-linear state rapid fitting method for an aircraft, and belongs to the field of aircraft control. The implementation method comprises the following steps: constructing a two-loop attitude pilot and a three-loop attitude pilot, and discretizing to obtain a guidance instruction with a time-delay effect; according to coordinate conversion, forward deriving each aerodynamic parameter of the aircraft and an aircraft overload instruction equation; the method comprises the following steps: calculating all pneumatic data according to part of pneumatic data obtained by a blowing experiment of an aircraft, and fitting a guidance instruction with a balance attack angle, a sideslip angle and a rudder deflection angle of the aircraft to obtain a corresponding interpolation table; all aerodynamic parameters in the flight process of the aircraft are obtained according to an aircraft guidance instruction and an interpolation table in the actual situation, namely, nonlinear state rapid fitting of the aircraft is achieved, and simulation reproduction of the aircraft as a mass point in the whole guidance process is achieved according to the nonlinear state rapid fitting result. And the precision and efficiency of aircraft guidance control are improved.

The invention discloses a finite element method for calculating an airfoil lift coefficient based on a potential flow theory, and belongs to the field of aircraft airfoil aerodynamic characteristic calculation and analysis. The method comprises the following steps: giving geometric information of an airfoil; determining an airflow area according to the geometric information of the airfoil; a gap is formed in the airflow area, and no airflow exists in the gap; taking the air flow area without the gap area as a solution domain; taking superposition of uniform incoming flow and pure circular flow as an undisturbed flow field to determine boundary conditions of the solution domain; a series of circulation values are given, the solution domain and the boundary conditions are combined, a potential flow control equation is solved by applying a finite element method for each circulation value, and a corresponding speed potential is obtained; and determining a real circular rector value by utilizing a Kutta condition, and calculating the lift coefficient of the airfoil profile according to the real circular rector value. According to the method, it is possible to obtain the airfoil lift coefficient by solving the potential flow control equation in the finite element framework, and the method is high in solving efficiency and easy to operate.

The invention discloses a vegetable greenhouse environment management method and system, a storage medium and a program product, and the method comprises the steps: obtaining historical environment parameters of a vegetable greenhouse, vegetable growth data and the growth state of vegetables in the vegetable greenhouse at the current moment; establishing a multistable growth model according to the historical environmental parameters and the vegetable growth data, wherein the multistable growth model comprises a plurality of stable growth points; positioning a growth state in the multistable growth model, and determining a dominant stable growth point closest to the growth state; establishing an attractor potential field, setting an advantage stable growth point as an attractor center, and calculating a potential energy gradient from a growth state to the attractor center; based on the potential energy gradient, a progressive regulation and control path of vegetable greenhouse environment parameters is constructed, and a staged environment regulation and control instruction is generated; and the staged environment regulation and control instruction is sent to the environment control equipment, so that the environment control equipment carries out environment regulation according to the staged environment regulation and control instruction and the progressive regulation and control path, and the timeliness and the accuracy of farming operation and environment regulation are improved.

The invention discloses a test defect recommendation method and device, electronic equipment and a computer program product.The method comprises the steps that test defect description information of a user is obtained and subjected to short text analysis, and a short text analysis result is obtained and comprises defect keywords contained in the test defect description information; retrieving in a test defect database according to the short text analysis result to obtain a candidate test defect retrieval result; analyzing each candidate test defect in the candidate test defect retrieval result based on a test defect database, and generating a recommendation weight of each candidate test defect; and recommending the test defects according to the user historical behavior analysis data and the recommendation weights of the candidate test defects. According to the method, the defects possibly encountered by the user are matched by utilizing short text analysis and defect data retrieval technologies, so that the accuracy and pertinence of test defect recommendation are improved, the historical test defect value is effectively mined, and more application scenes are developed for defect reutilization.

The invention provides a post-table system photovoltaic decomposition method based on photovoltaic output correlation, and relates to the field of power distribution networks, and the method comprises the steps: carrying out the preprocessing of historical measurement data based on min-max normalization; defining an upper envelope line and a lower envelope line of the user net load data, and performing post-meter photovoltaic installed capacity estimation on the basis of the upper envelope line and the lower envelope line; carrying out feature extraction on the typical user load curve based on DBSCAN clustering; establishing a tabular photovoltaic user load fitting model based on the user load characteristic curve, establishing a tabular photovoltaic user photovoltaic output fitting model based on photovoltaic output correlation, and constructing a photovoltaic output correlation coefficient solving model on the basis; and on the basis of the solved photovoltaic output correlation coefficient, in combination with the net load real-time measurement data of the photovoltaic users behind the meter, performing photovoltaic output real-time decomposition behind the meter. According to the method, real-time decomposition of photovoltaic output behind the meter is realized based on limited measurement information, the observability of photovoltaic users behind the meter to the front side of the meter can be enhanced, and an optimal scheduling strategy can be formulated.

The invention discloses an aircraft body freedom degree flutter time domain analysis method, device and equipment and a medium, and relates to the field of aircraft dynamic aeroelastic analysis, and the method comprises the steps: determining the initial steady state of an aircraft through static balancing by using an aircraft aerodynamic grid model and an aircraft structural grid model; performing motion deformation coupling analysis on the aircraft after the initial disturbance is applied under the initial steady state condition, and determining the displacement of the aircraft surface node relative to the balance position based on the analysis result; updating a pneumatic grid through displacement, obtaining surface aerodynamic force of the aircraft based on the updated pneumatic grid, mapping the aerodynamic force to a structural grid by using a pneumatic structural coupling interface, and obtaining an aerodynamic load; and carrying out motion deformation coupling iteration and pneumatic structure coupling iteration based on the pneumatic load, carrying out coupling time propulsion when a coupling residual error meets a preset condition, judging the dynamic stability of the aircraft according to the displacement in the time propulsion process, and completing the time domain analysis of the degree-of-freedom flutter of the aircraft body. And high-precision analysis of the aircraft is realized.

A low-carbon economic dispatching method for a combined cooling, heating, power and hydrogen supply type comprehensive energy system comprises the steps that firstly, a combined cooling, heating, power and hydrogen supply type comprehensive energy system model is established in a simulation platform, then a comprehensive energy multi-target optimization dispatching model based on stepped carbon transaction is established, and finally an optimization dispatching solving method for the combined cooling, heating, power and hydrogen supply type comprehensive energy system is established. According to the invention, a high-efficiency and low-carbon comprehensive energy system transaction mechanism is realized, a hydrogen energy multi-element utilization structure is introduced to form a combined cooling, heating, power and hydrogen supply type comprehensive energy system, and the reliability and flexibility of the system are improved; a stepped carbon transaction mechanism is introduced, so that the enthusiasm of a subject to participate in the carbon market and the decarburization and emission reduction level of the system are improved; according to the method, the solution of the particle swarm algorithm is improved, the solution efficiency of the algorithm is improved, and a more flexible and quicker optimization strategy is provided for real-time scheduling of the system.

The invention discloses a virtual power plant scheduling optimization method and system based on schedulable space prediction. The method comprises the following steps: constructing a target virtual power plant schedulable space prediction model based on Gaussian process regression; respectively constructing a virtual power plant bidding model and a coal-fired power plant bidding model based on net income maximization; constructing a day-ahead electricity market clearing model based on market energy consumption cost minimization; constructing a double-layer game bidding model based on the virtual power plant bidding model, the coal-fired power plant bidding model and the day-ahead electricity market clearing model; iteratively solving the double-layer game bidding model at least based on the schedulable space of the virtual power plant until a convergence condition is met, and outputting an equilibrium solution; and adjusting the wind and light output strategies of the virtual power plant in different power demand periods based on the equilibrium solution. Theoretical support is provided for making a bidding strategy for the virtual power plant to participate in the day-ahead electricity market transaction, supply and demand balance of an electric power system can be maintained, and the stability of the system is improved.

The invention relates to the technical field of hydropower dispatching, and discloses a multi-agent water-wind-light short-term power generation optimization dispatching method considering space-time coupling constraints. Firstly, on the basis of drainage basin characteristics, a hierarchical decomposition strategy is adopted, and overall centralized optimization solution of the water-wind-light complementary power supply system is converted into partial multi-agent collaborative optimization scheduling, so that the solution efficiency is improved; secondly, in combination with a multi-agent and unified optimization operation theory, constructing a double-layer nested short-term water consumption minimum model considering wind power and photovoltaic power prediction output, so as to realize intelligent modeling; and finally, an improved alternating direction multiplier method is adopted, and interaction among multiple agents is coordinated based on a modification strategy of a flow balance and electric quantity matching principle, so that the solving quality is improved. According to the method, the solving efficiency and precision can be effectively improved, and a solid theoretical basis and a feasible thought are provided for short-term power generation dispatching of a large-scale water-wind-light complementary power supply system.

The invention provides a multi-core consistency test method and device, electronic equipment and a storage medium, and relates to the technical field of communication. Comprising the following steps: determining a plurality of test parameters and a value range of each test parameter according to a test requirement of tested equipment; generating a plurality of groups of test parameter combinations according to the value range of each test parameter; according to the multiple groups of test parameter combinations, creating a test program corresponding to each processing core in a plurality of processing cores participating in the test in the tested equipment, and deploying the test program corresponding to each processing core to each processing core; running the test program on each processing core, and controlling the corresponding processing core to perform consistency test verification by the test program according to each group of test parameter combination to obtain a test result corresponding to each group of test parameter combination; and according to the test result corresponding to each group of test parameter combination, analyzing to obtain a consistency test result between the processing cores. According to the method, the test parameter combination capable of comprehensively covering more test scenes can be generated, and the test comprehensiveness and accuracy are improved.

The present invention provides a calibration device and method for a 3D camera, and relates to the technical field of camera calibration. The calibration device for a 3D camera includes a calibration plate, a translation stage, and a linear structured light laser mounted on the translation stage, wherein the translation stage is used to carry a 3D camera, and the translation stage can be moved closer to or farther from the calibration plate, and a detachable groove structure is provided on the surface of the calibration plate facing the translation stage, and a groove is provided on the groove structure. The cross-sectional contour of the groove on the calibration plate is measured by triangulation using a laser line, the coordinates of the points on the cross-sectional contour are extracted, and a set of equations is established with the coordinates of the known edge points of the groove, so that the coordinate transformation matrix coefficients can be solved. According to the coordinate transformation matrix coefficients, the corresponding object coordinates can be found according to the image coordinates, which not only has high solution efficiency, but also reduces the influence of camera lens distortion and has high calibration accuracy.

The invention relates to the technical field of microcircuit analysis, and discloses a classification method and equipment for static time sequence analysis reports. The method comprises the following steps: determining the type of a static time sequence analysis report of a target time sequence path; if the static time sequence analysis report is of an establishment time type, dividing a data path of the target time sequence path into an intra-module path and a cross-module path; dividing violations existing in the paths in the modules to the corresponding modules to obtain a first violation division result; determining a plurality of target modules corresponding to the cross-module path with violation; calculating the violation value contribution degree of each target module; according to the violation value contribution degree of each target module, dividing violations existing in the cross-module path to the corresponding target modules to obtain a second violation division result; and determining the violation of the target time sequence path belonging to each module according to the first violation division result and the second violation division result. The static time sequence analysis report can be efficiently processed, and efficiency and accuracy are improved.

The invention discloses an unmanned aerial vehicle cluster task allocation method based on a large language model optimization genetic algorithm, and belongs to the field of computers. The method comprises the following steps: setting a specific chromosome coding mode; generating a multi-constraint initial population; calculating fitness to quantify the advantages and disadvantages of individual genes of the population; when the optimal individual meets the requirement or the maximum iteration round is reached, ending; retaining the optimal individual as a filial generation; generating a batch of new filial generation individuals by the large language model, and fusing the new filial generation individuals with the current filial generation population; calling an optimized large language model to analyze individual chromosome semantics, and outputting an evolutionary potential score; obtaining an individual comprehensive selection probability by integrating the fitness and the evolution potential score, and executing a selection operation; and selecting individuals based on the individual comprehensive selection probability to carry out crossover and mutation operation to generate offspring. The large language model is embedded into the core link of the genetic algorithm, and the algorithm efficiency is improved by improving the population diversity of the genetic algorithm in the unmanned aerial vehicle cluster task allocation scene.

The invention discloses a heterogeneous commercial motorcade multi-objective optimization control method and device under a time lag condition. The method comprises the following steps: S1, establishing a dynamic model and a queue system model of each vehicle in a commercial motorcade; s2, designing a queue controller based on a distributed model predictive control method, establishing a cost function and a constraint condition, defining a sub-predictive optimization problem for each vehicle, designing a vehicle following error, economical efficiency and comfort cost function, reducing vehicle following errors in heterogeneous vehicle queue driving, reducing energy consumption, improving comfort and improving queue comprehensive performance; s3, a buffer and a delay compensator are integrated on the controller, a delay compensation link is added to a control system, the control effect of the heterogeneous motorcade under the delay condition is improved, and stable control over the heterogeneous motorcade under the non-ideal communication condition is achieved; and S4, the target function is solved by adopting simulated annealing and a particle swarm optimization algorithm, the problem of nonlinear discontinuous target values in the target function is solved according to a probability method, the operation time is shortened, and the solving efficiency is improved.

The invention discloses a unit commitment scheme hot start point selection method and device, electronic equipment and a storage medium, and the method comprises the steps: generating a corresponding historical typical day undirected graph and a corresponding power grid operation day undirected graph according to historical load curve data of a plurality of typical days of a power grid, load curve data of a power grid operation day and a power grid topological structure; a graph similarity evaluation network model is used, similarity scores between the power grid operation day undirected graph and all historical typical day undirected graphs are calculated, each training sample of the model is composed of two historical typical day undirected graphs and similarity labels thereof, and the similarity labels of the two historical typical day undirected graphs are obtained; and selecting an optimal unit commitment scheme corresponding to the historical typical day undirected graph with the highest similarity score as a target unit commitment scheme of the power grid operation day, and taking the optimal unit commitment scheme as a hot start point for solving the total operation cost minimization model. By implementing the method, the solving efficiency can be improved, and the stability and reliability of a power grid are maintained.