273results about How to "Guaranteed feasibility" patented technology

The invention provides an integrated logistics management system for cargo transportation. The integrated logistics management system comprises a multi-mode collaborative perception module, a semantic reasoning module, a scene adaptation decision module, an intelligent execution module and a logistics trust chain module. The multi-mode collaborative sensing module collects logistics full-scene state data through a sensor network; the semantic reasoning module is used for constructing a knowledge graph based on a graph attention network and realizing unified modeling of multi-source information; the scene adaptation decision module is combined with a pulse coupled neural network (PCNN) and a swarm intelligence collaboration mechanism to complete routing optimization; the intelligent execution module adopts a hierarchical task management and dynamic adjustment mechanism, and adjusts a task scheme according to execution abnormity and credit evaluation; the logistics trust chain module constructs a logistics trust system through a hierarchical consensus mechanism, a credit scoring model and a trust propagation and early warning mechanism, and realizes risk prevention and control of the whole process. The system solves the technical problems of a traditional logistics system in the aspects of data integration, dynamic supervision, decision support, collaborative scheduling, safety traceability and the like.

The invention relates to the technical field of territorial space planning, in particular to a construction land scale prediction method based on territorial space planning. The method comprises the following steps: acquiring historical construction land data, regional economic index data and control line space data of different regions; performing potential development turning point identification according to historical construction land data and regional economic index data, and performing stage trend analysis to obtain dynamic stage trend data; multi-scene prediction is carried out according to the dynamic stage trend data, so that multi-scene prediction data are obtained, and multiple scenes comprise a reference scene, a transformation scene and an innovation scene; and constructing an industry-land demand sensitivity analysis model according to the regional economic index data and the historical construction land data. According to the method, through development turning point identification and stage trend analysis, the dynamic characteristics of construction land change can be better grasped.

The invention provides a laser load autonomous pointing calibration optimization method and system. Belongs to the technical field of space aurora communication. The method comprises the steps that according to the position and speed of a satellite under a J2000 coordinate system, an orbital normal vector is solved, and an orbital coordinate system is established; carrying out target star screening; according to the screened star catalogue, sequentially pointing to the target star in an open-loop manner; and when the target star is in the view field range of the star-sensitive camera, calculating miss distance x and y according to the position of the mass center of the light spot of the target star and the deviation of the tracking point, and then inversely calculating the theoretical direction of the motor. According to the autonomous calibration scheme provided by the invention, an algorithm for autonomously screening the target stars is provided, fixed star data does not need to be injected on the ground, and the calibration efficiency and the data reliability are greatly improved.

The invention provides a flexible photoelectric multi-mode sensing device and a measuring method, the device is provided with an array flexible optical structure, comprises a flexible proximity-temperature-touch multi-mode sensor, a signal processing circuit and a precise grabbing embedded control system, and can be used for realizing automatic precise grabbing control. According to the measurement method, precise grabbing is completed based on the flexible proximity-temperature-touch multi-mode sensor, three work tasks of proximity and touch normal force measurement and sliding measurement are automatically distinguished through time sequence voltage information, and technical support is provided for achieving an automatic, high-precision and high-expandability precise grabbing control system.

The invention discloses a tongue picture characteristic change rule analysis method based on the rehabilitation process of a chronic disease patient, and relates to the technical field of health big data analysis, and the method comprises the steps of tongue picture data standardized collection, tongue picture data recording system establishment, tongue picture characteristic data analysis, result visualization and report generation. According to the invention, through a standardized tongue picture data acquisition mechanism, the quality and consistency of the tongue picture data are ensured, and through controlling illumination conditions, background colors, diet restrictions and posture requirements, the influence of external factors on the tongue picture data is reduced, and the accuracy and reliability of the data are improved. By comprehensively evaluating definition, noisy points, contrast ratio and color accuracy verification parameters, it is ensured that collected tongue picture data reaches a preset quality standard, and a high-quality data basis is provided for subsequent analysis; meanwhile, a comprehensive tongue picture data recording system is established, and tongue picture data are effectively stored and managed.

The invention relates to the technical field of building information management, in particular to a water conservancy project BIM model optimization processing system based on lightweight and component integration, a graph structure construction module maps the geometric morphology and spatial relationship of components into nodes and edges based on component data of a BIM model, integrates parameter information of pipelines and supporting structure sub-projects in a water conservancy project, and provides a construction model for the water conservancy project. And establishing a topological relation among the nodes, and generating a graph structure model. According to the method, the component data in the water conservancy project BIM model is mapped into the graph structure, and the topological relation between the nodes and the edges is formed through fine analysis of the geometric morphology and the spatial relation. The data structure conversion enables the stress distribution analysis of the water flow path and the support structure to be more visual and efficient, and further optimizes the design and performance of the whole system. By screening key component groups and optimizing the groups, redundant connection is eliminated, and structural units with similar functions are integrated, so that the accuracy and the application efficiency of the model are improved.

The invention provides a revenue distribution method for an internal alliance cooperative game of a virtual power plant, and the method comprises the steps: forming an alliance by distributed energy resources, and constructing a multi-agent optimization scheduling model in the virtual power plant with the maximized electricity selling revenue; constructing constraint conditions of a multi-body optimization scheduling model in the virtual power plant; determining a multi-agent cooperative game model of the game participants, the strategy set and the feature function; determining the overall electricity selling income of the virtual power plant, and designing a two-stage refined income distribution scheme of a multi-factor improved shapley value method and a kernel method based on odd-even circulation; and calling a CLPEX solver of the YALMIP on a Matlab platform to solve the cooperative game scheduling model and the income distribution strategy. According to the method, cooperative complementary operation among the alliances in the virtual power plant is realized, and fairness and rationality of income distribution among multiple subjects are ensured.

The invention relates to a cooperative control system and method based on heterogeneous unmanned aerial vehicles. The control system comprises a ground station control system and a mobile terminal control system. The ground station control system is a desktop application supporting task issuing to a plurality of mobile terminals; the mobile terminal is an Android application and can directly control the flight of the single unmanned aerial vehicle through the unmanned aerial vehicle controller; the method comprises the following steps: establishing a relation among the ground station, the mobile terminal and the heterogeneous unmanned aerial vehicle to carry out image return. The heterogeneous unmanned aerial vehicle cooperative control system and method relate to technologies and systems in multiple aspects such as task analysis, communication protocols, data fusion, state monitoring and autonomous cooperation, effective cooperation among heterogeneous unmanned aerial vehicles is achieved through system design and application, and the application potential of the unmanned aerial vehicles in the military and civil fields is expanded.

The invention provides a process window optimization method and device, a medium, a program product and a terminal, and solves the problems of low light intensity contrast ratio, limited process window and high finished product defect rate of weak point and dead pixel areas through an objective function optimization and numerical programming solution method. And establishing a reasonable optimization model by taking the sum of squares of light intensity logarithmic slopes of weak and dead pixel areas as an optimization target and combining an edge section moving range, an edge position error and mutual influence factors. And meanwhile, a plurality of matrix methods such as a sparse matrix and a dense matrix are introduced, so that the optimization efficiency and precision are improved, the accurate optimization of the mask pattern is realized, the process window is expanded, the defect rate is reduced, the process stability and adaptability are enhanced, and the production efficiency and the product quality are remarkably improved.

The invention discloses a scientific research auxiliary method based on a large language model, and belongs to the field of artificial intelligence. The method specifically comprises the following steps: firstly, building a scientific research auxiliary system comprising a core control module, a tool calling module and a multi-mode input module; setting initial parameters for user login; then, the core control module receives an input instruction YI and starts task execution of the first round to obtain a task plan YT1; and a task execution record Y * is further obtained, a decision action YA1 is generated in combination with historical information YH, and after the decision action YA1 is transmitted to the tool calling module, an action execution result YO1 is obtained and returned. Finally, judging whether the first round of task execution of the input instruction YI is completed, if so, generating a final output YF, and waiting for new user input; otherwise, calling the large language model F theta to generate the second round of task planning, and starting the next round of task execution circulation until the n round is finished. According to the method, more convenient support is provided for researchers to read and search literatures, obtain scientific research trends and the like.

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.

According to the modified fiber mining filling material and the preparation method thereof provided by the invention, through a dual modification technology of plasma treatment and a silane coupling agent, the uniform dispersity of fibers in a cementing agent is enhanced, and the properties such as rapid hardening, early strength and compressive strength retention rate of the filling material are remarkably improved. The filling material comprises cement clinker, solid waste, a retarder, an early strength agent, modified fibers, an accelerator, gypsum, a water reducing agent, a suspending agent and other raw materials, the modified fibers are treated through specific steps, surface functional groups are increased, and the compatibility and binding power of the modified fibers and a cementing agent are improved. The filling material disclosed by the invention has the advantages of good transportability, simplicity and convenience in construction, low cost and environmental protection characteristic, conforms to the development trend of green mining industry, is particularly suitable for being applied to mine filling and supporting, and has wide application prospects and social and economic values.

The invention provides an underwater humanoid dexterous hand, and particularly relates to the technical field of bionic machinery, according to the underwater humanoid dexterous hand, a spring electromagnet is used for locking a corresponding tendon rope group, then a soft body is driven to be connected into liquid, a sliding block slides on a sliding rod, the corresponding tendon rope group is pulled, and the tendon rope group is driven to rotate; the tendon rope set is driven to operate corresponding to the palm assembly or the finger assembly, object grabbing and other work are completed, the driving soft body is matched with hydraulic pressure to pull the tendon rope set to operate, and the robot can adapt to a deep water area and resist large water pressure.

The invention discloses a gel electrolyte raw material high-temperature mixing device, and relates to the technical field of stirring and mixing, the gel electrolyte raw material high-temperature mixing device comprises a base, the base is fixedly connected with a stirring barrel, the stirring barrel is fixedly connected with a cover plate, the inner bottom of the stirring barrel is fixedly connected with a ring-shaped heating plate, the stirring barrel is internally fixedly connected with a conversion cylinder, and the conversion cylinder is fixedly connected with the cover plate. Through holes which are evenly distributed in the circumferential direction are formed in the side, close to the heating plate, of the conversion cylinder. On the basis of stirring and mixing of the first stirring blades, raw materials flow up and down and are mixed through the spiral conveying frame, the uniform mixing degree of the raw materials is enhanced, the raw materials flow to the low-temperature area through the high-temperature area, the raw materials are integrally and synchronously heated, and local overheating caused by uneven heating is avoided; therefore, thermal decomposition or chemical reaction initiation of some raw materials is avoided, harmful by-products are prevented from being generated, the chemical stability and electrochemical performance of the electrolyte are prevented from being influenced, meanwhile, the phenomena of phase separation and inconsistent viscosity change caused by temperature difference are avoided, and the formation of a non-uniform mixture is avoided.

The invention discloses a path planning method based on a special unmanned vehicle under an unstructured road, and the method comprises the steps: calculating the comprehensive cost of each node uniformly distributed in a space through dynamic planning logic according to a grid map containing dynamic and static obstacle information in a sensing range, and generating a preliminary path; and performing nonlinear optimization through a high-performance nonlinear programming solver in combination with the explored space corridor and a self-vehicle kinematics equation to generate a path for safely arriving at an expected target pose. The method has the advantages that the feasibility, comfort and safety of the path are ensured through dynamic planning logic and nonlinear optimization.

The invention relates to the technical field of robots, and discloses a mechanical arm obstacle avoidance path planning based on an improved bidirectional RRT algorithm, which comprises the following steps: defining a mechanical arm and a working space: determining a kinetic model and kinematics constraint of the mechanical arm and obstacle distribution in the working space, by reasonably setting a starting point, a target point and algorithm parameters, it can be ensured that the algorithm has high exploration efficiency and convergence speed in the initial stage, a heuristic search strategy, such as a heuristic function in an A * algorithm, is introduced on a node expansion strategy, nodes can be guided to expand in a more desirable direction, and therefore the path planning quality is improved, and the path planning efficiency is improved. The position and the motion state of an obstacle are detected in real time, the node expansion direction is dynamically adjusted according to detected information, the mechanical arm can be effectively prevented from colliding with the obstacle, and the function is achieved generally through sensor data such as a laser radar and a camera.

The invention relates to the field of electrical power grid operation and maintenance, in particular to a differentiated operation and maintenance method and system based on real-time weak links of equipment. According to the method, online monitoring data and power supply reliability operation data of power distribution network equipment are collected in real time to form an equipment state multi-source data set; based on the data set, calculating an equipment health degree evaluation result by adopting a state evaluation model, and obtaining an importance degree evaluation result through an analytic hierarchy process in combination with the position and load importance of the equipment in the network topology; and inputting the two results into a preset operation and maintenance strategy matrix to match a corresponding operation and maintenance strategy type, and finally generating a differentiated operation and maintenance strategy instruction containing specific operation and maintenance measures, an execution time window and a resource allocation scheme. According to the method and the device, the problems of lack of equipment-level pertinence and unreasonable resource allocation of an operation and maintenance strategy in the prior art are effectively solved, and the operation and maintenance accuracy and the resource utilization efficiency are improved.

The invention discloses a disturbed variable-structure aircraft control method based on switching model prediction, and solves the problem that a conventional non-optimization control method of a disturbed variable-structure aircraft lacks the capability of generating an optimal control surface control instruction according to different performance optimization indexes under the flight capability constraint. And the stability of a closed-loop system under small disturbance cannot be ensured. According to the disturbed variable-structure aircraft control method provided by the invention, robust optimization control of the variable-structure aircraft under multiple constraints can be realized, the feasibility of an optimization control algorithm and the stability of a closed-loop system are ensured, and the flight performance of the variable-structure aircraft is favorably improved.

The invention relates to the technical field of parking integrated management, in particular to a city-level intelligent parking integrated management system based on an economics principle, which comprises a data collection module, a modeling module, a quantum coding module, a quantum application module and a scheme determination module, the modeling module carries out problem modeling, the quantum coding module converts a problem into a QUBO form and creates a price mapping function, the quantum application module solves an optimization problem by using a quantum annealing principle, and the scheme determination module generates and verifies a final price scheme; the innovative process effectively solves the limitation of the traditional system in the aspects of data processing, optimization algorithm, nonlinear relation modeling, dynamic pricing, multi-objective optimization and the like; the system realizes more accurate demand prediction, a more flexible pricing strategy and more efficient resource allocation, and provides a comprehensively optimized solution for urban parking management.

The invention discloses a quick response control method and system for a virtual power plant, and relates to the technical field of virtual power plants, and the method comprises the steps: collecting power generation side data, power grid side data and user side data; constructing a demand prediction model based on LSTM by using user side data; predicting the electricity demand of each time period; constructing a profit model according to the power generation side data, the power grid side data and the power consumption demand; setting a game model in the profit model for balancing the benefits of the power generation side and the power grid side; constructing a target model, taking the power consumption demand and the output of the profit model as the input, and taking the power grid topological structure data as a constraint condition; and solving the target model by adopting a particle swarm optimization algorithm, and generating a global optimal virtual power plant regulation and control strategy. In view of the problem of low optimization efficiency of the virtual power plant in the prior art, the method takes the predicted power consumption demand, the output of the profit model and the power grid constraint condition as the input, and adopts the particle swarm optimization algorithm to solve the target model, thereby improving the optimization efficiency.

The present invention provides an electromagnetic interference suppression method and system for a chip, which relates to the technical field of intelligent chips, and comprises the following steps: obtaining layout data of a target chip, extracting structural parameters and device parameters based on the layout data through an image segmentation algorithm, and constructing a multi-physical field coupling simulation model; determining the optimal excitation source corresponding to the target chip through a machine learning algorithm, adopting a time-domain finite element method, calculating and obtaining transient multi-physical field distribution through an adaptive time step control strategy, extracting multi-scale distribution features in the time-frequency domain, constructing a spectrum fingerprint library of electromagnetic interference using a deep convolutional neural network, and generating an electromagnetic interference identification result; determining the optimal suppression circuit topology based on the electromagnetic interference identification result through a suppression topology search algorithm, determining the optimal suppression device parameters through a multi-objective optimization algorithm combined with electromagnetic compatibility index constraints, and generating an electromagnetic interference suppression strategy.

The invention provides a TPMS (Tire Pressure Monitor System) infinitesimal heat exchanger design method based on fluid stroke control, which comprises the following steps of: enumerating feasible baffle plate schemes by utilizing a random search algorithm to form a baffle plate configuration set; based on the baffle configuration set, generating a corresponding baffle model, filling a TPMS unit structure in the shell model, and performing volume mesh division on the filled model; grid independence verification is carried out on the divided volume grids, simulation is carried out, pressure drop, Nusselt number and PEC indexes are calculated, and a rule between baffle adding and heat exchange performance of the heat exchanger is determined according to the indexes; and on the basis of the rule, performing dual-scale optimization of stroke length priority and coarse-grained region division on the baffle configuration set until an optimal scheme is obtained. The TPMS structural unit is filled in a heat exchanger component, the stroke of fluid in the heat exchanger is controlled by adding the baffle, and the overall heat exchange performance is improved on the premise that manufacturing constraint is guaranteed.

The invention discloses a transformable seat which comprises a base, a cushion assembly arranged on the base and a backrest assembly arranged at the rear end of the cushion assembly, the front end of the cushion assembly is rotationally connected with the base, the backrest assembly is provided with a front backrest and a rear backrest which are arranged in an overlapped mode, and the lower portion of the front backrest is connected to the base in a front-back overturning mode through a transmission mechanism. The rear backrest can be overturned backwards to a horizontal state relative to the front backrest; the seat can be changed into a lying state from a sitting posture state, in the lying state, the cushion assembly is overturned forwards relative to the base to be in a horizontal state, the front backrest is overturned forwards under the driving action of the transmission mechanism to be flush with the rear end of the cushion assembly in a butt joint mode, and the rear backrest is overturned backwards to be in the horizontal state. The bed has the advantages that the bed can be independently transformed into a bed, and operation is convenient and fast.

The invention provides a pulse neural network supervised learning method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a trained artificial neural network and a to-be-trained pulse neural network; extracting a network parameter weight of each network layer in the artificial neural network, and adjusting the spiking neural network to be trained according to the network parameter weights to obtain an initial spiking neural network; respectively inputting preset training image samples into the artificial neural network and the pulse neural network to obtain guidance output features and learning output features; obtaining a first loss value according to the output characteristics; extracting a first time domain feature from the artificial neural network, and extracting a plurality of second time domain features of different time steps from the spiking neural network; obtaining a second loss value according to the time domain characteristics; and updating the network parameter weight of each network layer in the initial pulse neural network according to the first loss value and the second loss value. The processing performance of the pulse neural network can be improved.

The invention discloses a visual experimental device for simulating the migration process of plugging agent particles in rock fracture.The visual experimental device comprises a fluid injection system, a fracture fluid simulation system and a data collection system, the fluid injection system is connected with the fracture fluid simulation system, and the fluid injection system injects experimental base fluid into the fracture fluid simulation system; the crack fluid simulation system is used for placing a rock sample with cracks and through holes and enabling the rock sample to be soaked in the experimental base fluid, and the data collection system is used for recording the migration, accumulation and bridging process of particles of the experimental base fluid in the cracks of the rock sample. The migration, accumulation and bridging mechanism of the plugging agent particles in the crack under the real rock crack condition is explored, the understanding of the mechanical behavior of the plugging agent particles in the natural crack is improved, and an important theoretical basis is provided for drilling plugging site construction operation.

The invention discloses a driving area visualization method, device and equipment for automatic parking and a storage medium, and relates to the technical field of parking, and the driving area visualization method for automatic parking comprises the following steps: obtaining vehicle-mounted camera data, radar point cloud data, vehicle size and safety distance, a target obstacle recognition model based on an encoder-decoder and a self-attention module is used for analyzing camera data, and the initial position, size and type of an obstacle are determined. Then, the positions are adjusted through radar data to obtain accurate real-time obstacle positions, and a drivable area is constructed in combination with the vehicle size and the safe distance. And finally, the system sends camera data, radar data and drivable area information to a vehicle controller, the vehicle controller reconstructs an automatic parking scene by using a scene restoration model, and a result is transmitted to a vehicle display to present an automatic parking view. According to the invention, the automatic parking scene view can be displayed, the driving area can be displayed, and the collision risk is reduced.

The invention provides an aggregation capacity range prediction method for rapid frequency modulation of distributed resources. The method comprises the following steps: acquiring operation data of each single device in a distributed resource cluster; inputting the operation data of each single device into a pre-constructed two-stage robust optimization model based on Camp; and performing iterative solution on the two-stage robust optimization model by a CG algorithm to obtain an aggregation capacity range of rapid frequency modulation of the distributed resources in the cluster. According to the aggregation capacity range prediction method for the rapid frequency modulation of the distributed resources, on the premise of considering network constraints of a power distribution network where a distributed resource cluster is located and adjustment constraints of single equipment, the frequency modulation capacities of the distributed resources in the cluster at all moments are dynamically aggregated by using a two-stage robust optimization model; predicting an aggregation capacity range of rapid frequency modulation of the distributed resources; effective transfer of distributed resources and optimal configuration of power system resources are facilitated, the stability of a power grid is improved, and the problem that risks exist when a decentralized control mode is adopted is solved.

The invention relates to the field of data testing and financial science and technology, and discloses a real-time data testing method, device and equipment and a medium, and the method comprises the steps: configuring a derivative environment for a Kafka cluster, and after the Kafka cluster is logically classified, creating a derivative task of the Kafka cluster based on the derivative environment; performing rationality evaluation on the derivative task, when an evaluation result meets a preset result, querying an execution resource quantity of a task execution system corresponding to the derivative task, and starting to execute the derivative task when the execution resource quantity meets a demand quantity of an execution number task; and during execution of the derivative task, reading theme message data of the Kafka cluster, performing data desensitization and data storage on the theme message data, obtaining desensitization data, transmitting the desensitization data to a data test environment, obtaining test data, performing data integrity test on the test data, obtaining a test result, and completing the derivative task when the test result is complete. According to the invention, the accuracy of real-time data testing can be improved.

The invention belongs to the field of devices for high-power fiber lasers, particularly relates to a long-period fiber grating capable of dynamically suppressing stimulated Raman scattering of different wavelengths and a suppression method, and aims to solve the problem that the stimulated Raman scattering effect under different wavelengths cannot be dynamically adapted and suppressed. A pumping source is connected with one end of a beam combiner, the other end of the beam combiner is connected with one end of a resonant cavity, the other end of the resonant cavity is connected with one end of a long-period fiber bragg grating, the other end of the long-period fiber bragg grating is connected with one end of a stripper, the other end of the stripper is connected with an output end, and the output end is connected with a spectrograph. Wherein the resonant cavity is used for oscillating and amplifying spontaneous radiation light with a set wavelength; the two ends of the long-period fiber grating are fixed to the stress field applying device, and the long-period fiber grating is arranged in the temperature field applying device. According to the invention, stimulated Raman scattering of different wavelengths is effectively inhibited, the output power, the beam quality and the system stability of the laser are improved, and the service life is prolonged.

The invention provides an urban power transmission line fault diagnosis method and system based on generative artificial intelligence, and relates to the technical field of fault diagnosis. A GAN generator is used for obtaining more image samples, meanwhile, the balance of a data set is improved, in a complex environment and under the condition that the number of samples of all fault types is small, a GAN algorithm is used for generating more fault samples of different fault types, and the feasibility of training optimization by a subsequent feature extractor according to the samples is guaranteed; according to the method, a Vi-Transform model is used for carrying out feature extraction on an image, image features serve as a part of prompt, more context information is provided for the generative AI, the illusion problem of the generative AI is further avoided, and the thought that the generative AI participates in power transmission line fault inspection is broadened; in combination with a GAN, a Vi-Transform model and a prompt information modification method, the credibility and practicability of model optimization based on small sample image data in a complex environment are improved.