13results about How to "Realize the plan" patented technology

The invention discloses a cluster-oriented multi-agent cooperative task planning method, which comprises the steps of constructing a cruise simulation interaction scene, and determining data input to a reinforcement learning network model, the reinforcement learning network model being used for outputting a time sequence of a plurality of sub-tasks, an agent type corresponding to each sub-task and an agent number; converting output data of the reinforcement learning network model into cruise constraint conditions; and performing branch and bound search of an optimal combination scheme according to cruise constraint conditions, planning the action starting time and ending time of each agent, and completing agent sub-task planning. According to the method, a task allocation combination problem and a task execution optimization problem are decoupled, and rapid multi-agent task planning is realized. In the training stage, a task formation is generated, a task allocation decision agent is constructed, and a plan containing the type and number of agents required by each sub-task is generated through a reinforcement learning algorithm; and generating an agent task execution scheme including agent task allocation and execution time in the task.

The embodiment of the invention is suitable for the technical field of energy storage, and provides an energy storage scheme planning method and device, computer equipment and a medium, and the method comprises the steps: determining the power utilization load power in each power utilization time period based on historical power utilization data; according to the equipment information and the power utilization load power of the energy storage equipment, a charging and discharging scheme of the energy storage equipment is determined, the charging and discharging scheme comprises the charging and discharging state and the charging and discharging amount of the energy storage equipment in each power utilization period, and the equipment information comprises the equipment power and the total electric energy capacity; based on the charging and discharging schemes of the energy storage devices, an income curve of the energy storage project is generated, and the income curve is used for representing the corresponding relation between the configuration information of each energy storage device and the income of the energy storage project; and determining target energy storage device configuration information of the energy storage project from the configuration information of the plurality of energy storage devices according to the income curve. Through the method, the energy storage equipment configuration information of the energy storage project can be automatically generated.

The invention discloses a training teaching management analysis system and method based on big data, relates to the field of big data, solves the problem that the training success of a to-be-trained person cannot be effectively evaluated, and comprises a training planning module, a training plan management module, a training evaluation module, a physical fitness assessment module and a comprehensive evaluation module. The training planning module is used for planning the training plan to obtain a final training plan; the training plan management module is used for managing the training plan to obtain the daily completion condition of the training plan corresponding to the to-be-trained person; the training evaluation module is used for evaluating the training condition of the to-be-trained person to obtain a training assessment score value; the physical fitness assessment module is used for assessing the physical fitness condition of the to-be-trained person to obtain a physical fitness score value; the comprehensive evaluation module is used for comprehensively evaluating the training result of the to-be-trained person to obtain the comprehensive training grade of the to-be-trained person, and effective evaluation of the training result of the to-be-trained person is achieved.

This application relates to a preoperative planning method, storage medium, product, and surgical system. The method includes: determining the actual anatomical models of the two lower limbs based on actual image data; determining a target model based on the actual anatomical models of the two lower limbs, wherein the target model is the actual anatomical model of the relatively normal lower limb among the actual anatomical models of the two lower limbs; correcting the force line parameters of the target model to normal if they are abnormal; performing mirror symmetry processing on the target model to obtain standard anatomical models of the two lower limbs; determining the osteotomy surface of at least one lower limb based on the actual anatomical models and the standard anatomical models of the two lower limbs; and determining the prosthesis contour corresponding to at least one lower limb based on the osteotomy surface of at least one lower limb, thereby obtaining the target prosthesis. This achieves preoperative planning, facilitating improved accuracy of subsequent surgery and resulting in better surgical outcomes.

This invention relates to the interdisciplinary field of mechanical engineering and optical inspection, and discloses a method and system for quality sorting of automotive stamping parts combined with optical inspection. The method includes: synchronous imaging by a high-speed linear array camera and a structured light projector via an encoder and photoelectric triggering device; fusing 3D point clouds and 2D images, and using a deep convolutional neural network for defect identification and quality grading; calculating the six-degree-of-freedom pose of the workpiece using an iterative nearest-point algorithm and principal component analysis; calculating the spatiotemporal parameters of sorting based on a predictive instruction generation module, and issuing dynamic control commands to multi-degree-of-freedom pneumatic push rods via a hard real-time communication bus to execute sorting. The system includes a synchronous triggering unit, an imaging unit, a defect identification unit, a pose calculation unit, a predictive instruction generation module, and a dynamic sorting execution unit. This invention achieves millisecond-level accurate identification and adaptive sorting, significantly improving detection accuracy, sorting efficiency, and system robustness.

The invention discloses a method for planning a trajectory of a UAV that completely avoids a no-fly zone, belongs to the field of UAV trajectory planning, and includes application scenarios of the method for planning a trajectory of a UAV in a no-fly zone, wherein the application scenarios of the method for planning a trajectory of a UAV in a no-fly zone include communication scenarios between the UAV and a terminal user in a no-fly zone. The invention supports the UAV to absolutely avoid entering any no-fly zone during flight. Multiple straight lines are used to approximate the actual flight trajectory of the UAV, and the distance between the intersection of two adjacent straight lines and the center point of the no-fly zone is calculated to achieve strict monitoring and planning of the flight path of the UAV, thereby improving the accuracy of trajectory planning as well as the flight efficiency and task execution effect of the UAV. The invention increases the constraints on the continuous trajectory between adjacent time slots, and further improves the safety and robustness of the system through multiple straight line approximation and accurate intersection calculation.

This application discloses a machine tool structure with a combined machining head. The application includes: a first base and a second base, the first base having a working area for placing the workpiece to be processed; a column, on which a first X-axis linear module is mounted; a first group of electrical discharge machining (EDM) heads, comprising at least four heads mounted on the first base and respectively connected to the first X-axis linear module, each of the four heads having an independent Y-axis linear module and a Z-axis linear module; and a second group of EDM heads, comprising at least one head mounted on the first base, the second base having a second X-axis linear module, the at least one head connected to the second X-axis linear module, the at least one head having an independent Y-axis linear module and a Z-axis linear module, and all four heads connected to an EDM power supply.

The application relates to the technical field of intelligent mines, and discloses a geological guarantee intelligent planning and mining system based on deep reinforcement learning, which comprises a geological guarantee basic module, an intelligent planning engine module and a closed-loop execution system module; the geological guarantee basic module constructs a dynamic probabilistic digital twin environment through a geological uncertainty implicit neural field, and realizes real-time data fusion and update in combination with gradient flow; the intelligent planning engine module realizes long-period risk perception planning based on a geological perception Markov decision process and a causal world model; the closed-loop execution system module deploys a lightweight model through strategy distillation, establishes a twin reality bidirectional evolution closed loop, realizes adaptive cooperation of planning and execution, and solves the problems of static vulnerability of a conventional mining system, short-sighted non-strategy planning and system fragmentation and open loop, realizes dynamic cognition, far-reaching planning and closed-loop self-evolution of the whole life cycle of a mine, and significantly improves mining efficiency and safety.

The utility model relates to the technical field of paperboard processing, and provides a paperboard gluing machine. The gluing machine comprises a gluing assembly and a first fixing rod, the gluing assembly comprises a glue spray head and a gluing head, the glue spray head and the gluing head are integrally formed, the gluing head is composed of a horizontal plate and an inclined plate, the width of the gluing head is equal to that of the glue spray head, the horizontal plate is connected with a main body of the glue spray head, and the inclined plate is connected with the main body of the glue spray head. The inclined plate is located below a glue outlet of the glue nozzle, and anti-overflow protrusions are arranged on the two side edges of the inclined plate. The gluing assemblies are evenly fixed to the first fixing rod, and the gluing assemblies are attached to one another. Each gluing assembly independently works, the gluing machine can only conduct gluing on a planned gluing area through the multiple independent gluing assemblies carried by the gluing machine, and fine gluing tasks such as intermittent gluing are achieved.

The application relates to the technical field of electric power inspection, and discloses a cluster type unmanned aerial vehicle inspection method based on a power transmission line and related equipment. The method comprises the following steps: obtaining a three-dimensional laser point cloud model of a target power transmission line and sensing parameters of each unmanned aerial vehicle, extracting each inspection space information and a plurality of inspection points in the three-dimensional laser point cloud model, and generating an inspection tower directory tree; performing geographic coordinate conversion on each inspection point in the inspection tower directory tree to obtain a plurality of inspection point coordinates, and calculating sensing values of each unmanned aerial vehicle based on the sensing parameters of each unmanned aerial vehicle; matching corresponding inspection point coordinates based on the sensing values, and generating corresponding route inspection lines of each unmanned aerial vehicle according to the matching results; and controlling each unmanned aerial vehicle to form an unmanned aerial vehicle cluster to inspect each inspection point according to the route inspection lines, so that inspection data is obtained. The application realizes efficient cluster type unmanned aerial vehicle inspection of a power transmission line.

This application discloses a resource allocation method, system, and storage medium. The resource allocation method includes: a target identification step, which responds to externally input demand information and matches available targets; a target filtering step, which responds to available target data, issues demand instructions to all targets in the available target data, receives at least the first feedback, and generates feedback data; a path planning step, which responds to the feedback data, calls the location of the target that issued the feedback and the location in the demand information, plans the shortest path, and generates path data; and a trajectory tracking step, which responds to the targets corresponding to the path data and feedback data, tracks the target positions, generates real-time location data, and provides real-time location feedback. The technical solution of this application can effectively improve the resource utilization and allocation efficiency in the medical industry.

Embodiments of the present application provide a network parameter planning method and device, the method comprises: determining the coordinate sequence of the coverage area block of the cell of the 5G base station according to the spatial topology distribution of the 5G base station in the network, determining the adjacent area block sequence of the coverage area block of the cell of the current 5G base station according to the coordinate sequence, determining the 5G base station adjacent cell sequence according to the adjacent area block sequence, and processing the PCI sequence configured for the 5G base station adjacent cell sequence to determine the target processing result from the processing result sequence, determining the target cell sequence from the 5G base station adjacent cell sequence according to the target processing result, and determining the shortest path sequence between the cell of the current 5G base station and the target cell sequence, determining the shortest distance sequence according to the shortest path sequence, determining the target shortest distance from the shortest distance sequence, and planning the PCI of the current 5G base station, which realizes the planning of the PCI parameter in the 5G base station.

The invention discloses a measuring and mapping system based on a mobile base station, and the system comprises the mobile base station which is used for providing a stable communication network; the intelligent measuring equipment is used for collecting geographic information data; the data processing module is used for processing the received geographic information data and generating a surveying and mapping result; and the output device is used for receiving, storing and displaying the surveying and mapping result. According to the measurement surveying and mapping system based on the mobile base station, through the mobile base station and the intelligent measurement equipment which are flexibly deployed, the accuracy and the integrity of surveying and mapping results are improved, and the flexibility and the high efficiency of surveying and mapping work are achieved.