73 results about "Mission plan" patented technology

The invention discloses an unmanned aerial vehicle system testing method and system based on a model, and relates to the technical field of unmanned aerial vehicle system testing, and the method comprises the steps: collecting the operation data of an unmanned aerial vehicle, preprocessing the data, and carrying out the labeling classification of the preprocessed data; inputting the labeled data into a generative adversarial network model, training a generator, and generating a simulated flight scene data set; carrying out transfer learning model pre-training based on the simulated flight scene data set; deploying the unmanned aerial vehicle in an actual test, collecting incremental data from a real environment, and performing fine tuning on the pre-trained transfer learning model; a flight mission plan is generated, and simulation evaluation is completed in combination with the simulated flight scene data set. By generating the high-quality flight data and continuously updating the model, the test and task planning capability of the unmanned aerial vehicle system in a complex environment is effectively improved, the test cost is reduced, and the coping capability of the model in different flight scenes and the stability of the model in actual operation are enhanced.

Intelligent optimization of mission planning and execution for spacecraft through intelligent analysis of mission objectives and payload operation is disclosed. Values for mission objectives, payload operation, and / or vehicle conditions may be defined during given time periods, including variable values for repeat operations or other factors. These values may then be used through a vehicle / mission simulation agent to optimize the mission plan through maximizing the mission score according to the values. The simulation agent may identify possible mission plans based on vehicle capability, and then score the mission plan based on the total objective score.

The invention provides a satellite group task planning method and system based on a fine tuning large language model, and relates to the technical field of satellite group task planning. The task planning method comprises the following steps: processing a task planning request through a constraint analysis-tagging large language model to obtain a structured sample containing question definition, a reasoning process and a final answer; processing the structured sample through a pre-trained large language model oriented to satellite task planning domain knowledge alignment to obtain a preliminary satellite task planning scheme; and finally, carrying out iterative optimization on the preliminary satellite task planning scheme by utilizing a heuristic dynamic tuning framework to obtain a large-scale satellite group task planning scheme. According to the method, the problem of large-scale satellite group task planning is solved by utilizing the logical reasoning ability of a large language model, satellite task planning domain knowledge fine tuning is performed through satellite task planning fine tuning data based on a thinking chain, and a large-scale satellite group task planning scheme is efficiently generated with high quality in combination with a heuristic dynamic tuning framework.

A system for control of a firefighting operation including a ground control center with a command terminal for managing assets that include manned and unmanned aerial vehicles, a communications network, a mission planning software application, and a command-and-control software application. The ground control station may include secondary terminals for managing larger operations. The software applications produce displays that are oriented to a common rasterized map display. A computer-implemented method for planning a firefighting operation comprising determining a mission objective, assessing a mission environment, designing a route to accomplish the objective, deconflicting the new mission from planned missions, and adding the new mission to an operational plan. A computer-implemented method of assessing a mission comprising determining whether a mission was executed according to plan, determining whether an actual retardant drop footprint matches the planned footprint, and determining whether the actual footprint achieved the mission objective.

The invention belongs to the technical field of remote sensing satellite ground station measurement, operation and control, and provides a low-orbit remote sensing satellite emergency system adopting a portable ground station and a control method in order to solve the technical problems that an existing fixed ground station is poor in maneuverability, low in timeliness and low in data transmission efficiency in an emergency task. The emergency system at least comprises a task planning part, a measurement and control and data receiving part, a data rapid processing part and a target identification part, the whole system is more focused on rapid task planning, and on-site real shooting and real transmission and on-site interpretation of an emergency shooting task can be realized; according to the low-orbit remote sensing satellite emergency system control method, the time from shooting to information processing does not exceed 15 minutes, so that the timeliness of an emergency task is greatly improved, and the time for receiving a task instruction, acquiring telemetering data, downloading code stream data and producing data by a remote sensing satellite is greatly shortened.

A collaborative planning system facilitates sharing of critical plans (e.g., a military mission plan) within an organization and managing authorizations of the plans from reviewers at multiple levels within the organization. Once the plans are approved, a data object representative of the plans is created and stored in an ontology of data objects (with objects of various types and associations between related data objects) so that the plans may be identified as associated with related data objects via searches of the data objects in the ontology.

The embodiment of the invention provides a complex task management method and device based on a large model, a medium and a program product, and relates to the technical field of task management. The method comprises the steps of collecting historical execution data and performing feature extraction; obtaining basic data of the current task, and generating a preliminary plan scheme based on the feature data and the basic data by using the plan customization large model; executing a current plan scheme by using the multi-agent system and acquiring task state data; and dynamically adjusting the currently generated plan scheme based on the task state data, the real-time available resource data and the real-time external environment data by using the plan customization large model. According to the embodiment of the invention, the large model and the multi-agent system are used for learning the relationship between various factors and the task and generating and dynamically adjusting the planning scheme of the current task, so that the accuracy, the flexibility and the real-time performance of making the task plan are improved in a scene in which various consideration factors are involved and the external environment is dynamically changed.

The invention discloses an unmanned aerial vehicle task generation system based on a natural language and a satellite image, and belongs to the technical field of intelligent aviation navigation and human-computer interaction. According to the system, a visual language model and a large language model are combined, and a flight path and an action instruction of the unmanned aerial vehicle are automatically generated by inputting a natural language instruction and a satellite image. The system comprises a task analysis module used for converting a natural language instruction into a task target; the target recognition module is used for positioning a target position in the satellite image; and the path and action generation module is used for generating a complete flight mission plan according to the target position and the geographic metadata. The method has the advantages of no need of training data, direct deployment, high generation speed, strong generalization ability and the like, and is suitable for unmanned aerial vehicle autonomous task planning in a complex environment. Compared with manual path planning, the method has the advantages that the task efficiency and the operation convenience are remarkably improved, and the method is suitable for various scenes such as military reconnaissance, agricultural monitoring and disaster response.

The invention provides a design method and system for a task planning algorithm digital parallel verification platform, and the design method is based on an existing digital twin system, restores a real application environment of a task planning algorithm, and achieves the full-process simulation of the application effect of the algorithm in a real environment. According to the method, a universal interface protocol for algorithm integration is provided, so that any algorithm conforming to the protocol can be called by a platform. For a plurality of task planning algorithms, the method provides a Restful-based hot plug strategy so as to realize random switching of the plurality of algorithms in the same scene. After the task planning algorithm is called, the method further provides an evaluation scheme for the satellite scheduling result, and the evaluation scheme is used for evaluating the execution effect of the algorithm. According to the method, powerful support is provided for development, test and optimization of a low earth orbit satellite task planning algorithm, a solid foundation is laid for solving many complex problems in low earth orbit satellite task scheduling, and the requirement for efficient and stable operation of a low earth orbit satellite system in a complex environment is met.

Method for defending an area from vehicular threats in the area's vicinity, comprising detection of threat scenarios including vehicular threats in the area's vicinity in real time or near-real time; and / or controlling multiple interceptors to intercept at least some of the vehicular threats as detected; and / or using a machine learning hardware processor, trained on training data which may pair scenario outcomes to given mission plans which operated on given threat scenarios, to generate at least one mission plan for the interceptors, and / or to feed said mission plans to the interceptor control processor, in real time.

The invention discloses a method for realizing autonomous mission planning on a satellite based on the solar vector of an orbital system. A ground mission planning system plans the mission and determines the solar altitude angle information at the mission observation time. The operation control system plans the instruction sequence according to the information provided by the ground mission planning system. The instruction sequence includes the mission mode word, the load parameter configuration, and the solar altitude angle modification instruction at the observation time, and the instruction sequence does not include the guidance law of the platform and the turntable and the load on / off instruction. When the satellite enters the country, the instruction sequence is added. The on-board software enters the corresponding mission according to the mission mode word, calculates the key points of the mission start time and end time, and autonomously executes the observation mission. The observation data is transmitted to the ground mission planning system through digital transmission. The method can reduce the number of instructions in the instruction sequence added on the ground, reduce the operating burden of ground personnel, reduce the observation error caused by the delay of the ground addition, and reduce the probability of making mistakes.

A system includes avionics line-replaceable units (LRUs); a mission manager including application programming interfaces (API); a processing device; and a memory storing one or more machine readable instructions causing the system to: communicatively couple the mission manager to external avionics services via a data gateway to receive updated mission conditions at the mission manager; register one of the avionics LRUs with one of the mission manager APIs; receive, at the mission manager, updated mission conditions from the external avionics services via the data gateway; provide one or more of the one or more updated mission conditions to the registered avionics LRU based on one or more of an updated mission plan and an unexpected update to the mission condition; and control one or more aircraft systems based on one or more of the updated mission plan and the unexpected update to the mission condition.

Systems, apparatus, articles of manufacture, and methods are disclosed for space-based monitoring of aircraft. An example space-based apparatus to monitor aircraft includes communication interface circuitry to access aircraft operation data; machine-readable instructions; and programmable circuitry to be programmed by the machine-readable instructions to: identify an anomaly based on the aircraft operation data; prepare an updated mission plan for an aircraft based on the anomaly; and communicate the updated mission plan to the aircraft.

Described herein are spacecraft flight and mission managers and systems, methods, and computing apparatuses for dynamically maneuvering a spacecraft towards a target area for synthetic aperture radar (SAR) capture based on antenna availability. In an embodiment, a flight and mission manager obtains user inputs for a spacecraft mission related to a synthetic aperture radar request of a target area and maneuvers for a spacecraft to reach that target area. An orbit path is determined based on user inputs and telemetry of the spacecraft. A visibility schedule of antennas of a ground station provider is obtained corresponding to the orbit path. Then, a tasking plan is generated to perform the user inputs and maintain the orbit path.

The present application relates to the technical field of astronomical satellite mission planning, in particular to a method and system for solving short-term mission planning of astronomical satellite. The method comprises: step 1) constructing a short-term mission planning mathematical model of the astronomical satellite to be planned, and abstracting the mission planning problem as a maximized optimization problem; step 2) solving by using a hybrid search strategy artificial bee colony algorithm, searching for excellent solutions by the employed bees based on an "elite solution guided search" strategy, and searching by the follower bees based on a "neighborhood optimal solution update" strategy, so as to accelerate the solution and improve the solution accuracy. Compared with the basic artificial algorithm, the method has the advantages of fast convergence speed, high solution accuracy and strong optimization ability, and has fewer control parameters than other swarm intelligence algorithms; in the short-term mission planning problem of the astronomical satellite, the method can obtain higher task completion degree and greater observation benefit.

The invention discloses a ground station control method and system for executing real-time shooting and real-time transmission tasks by combining satellites. Belongs to the technical field of remote sensing satellite ground station control. The method comprises the following steps: defining a task plan template executed by a ground station, wherein the task plan template comprises a task plan type; a satellite data transmission stage is divided into different time nodes, and the control process of each task plan is divided through the time nodes; and selecting a corresponding task plan according to the actual working condition of the satellite, and executing a corresponding control process. The method can be combined with a satellite to complete orderly and rapid switching of modes of a ground station in one arc section, so that it is possible to complete instruction uploading to the satellite, satellite attitude adjustment, satellite imaging and data transmission, data receiving and production, and data identification and interpretation in one arc section.

One object of the invention is a method for distributing a secret key via a quantum channel using a satellite (and an associated architecture) in which the distribution planning is performed in real time by the satellite itself and by the ground quantum communication stations, without the intervention of a mission control center external to the stations. The satellite is autonomous and manages its own resources. In this architecture, the satellite autonomously and independently acquires the information necessary for mission planning from the ground mission control center. [Fig. 3B]

This application relates to the field of intelligent aerospace technology and discloses a satellite autonomy method driven by embodied intelligent agents, applicable to subsatellites belonging to an in-orbit constellation. It constructs a multi-agent framework comprising multiple autonomous intelligent agents, including at least a resource assessment agent and a resource optimization agent. In response to a resource assessment command regarding the target mission, the method acquires the subsatellite's in-orbit operating parameters. The resource assessment agent is invoked to perform resource assessment based on the in-orbit operating parameters, obtaining the mission resource assessment result, which is then fed back to the in-orbit constellation. If mission feasibility indicates that the subsatellite can execute the target mission, the method acquires a single-satellite mission plan fed back by the in-orbit constellation. The resource optimization agent is invoked to optimize resource allocation based on the single-satellite mission plan, obtaining a mission operation plan. Its beneficial effects are that it improves the intelligence level of subsatellites in remote sensing observation missions and enhances the satellite's in-orbit autonomy.

An autonomous drone swarm system and method for subterranean and GPS-denied operations utilizing artificial intelligence for coordinated operations comprises command drones equipped with large language model processors and subordinate drones coordinated through a hierarchical Queen-Worker architecture. The system processes natural language commands, generates autonomous mission plans, and coordinates multi-drone operations through an encrypted self-healing mesh communication network utilizing multiple modalities including radio frequency, optical, acoustic, and visual channels. A Unified Ground Frame with Surface-Referenced Z (UGF-SRZ) coordinate system provides signed vertical coordinates enabling seamless operation across surface and subterranean environments. GPS-denied navigation combines multi-sensor dead reckoning, collaborative positioning, and distributed mapping with fog-layer processing for enhanced accuracy. The system implements federated learning protocols for distributed AI improvement, fault-tolerant operation with automatic leader election, and specialized adhesion Workers functioning as persistent infrastructure nodes.

A system and method for providing mission overwatch and situational awareness to ground-based troops or personnel (e.g., friendlies) operating in a mission environment (and according to a mission plan) receives a current position from the friendlies and environmental data collected by (mobile or fixed) mission sensors throughout the mission environment. Detected objects (friendly or hostile) are associated with a position relative to local landmarks having known locations. Environmental data is analyzed to determine other attributes of the detected objects: type, affiliation (friend / foe), motion (direction / speed), intent, and / or threat level. Concise descriptive reports are generated informing the friendlies of the activities of any objects of particular interest, with reports selected and forwarded to the friendlies on the basis of brevity, clarity, and / or relevance (e.g., compatibility with the friendlies' current field of view).

On-orbit autonomous mission planning method based on heat map, comprising: obtaining ground remote control instructions, including the first start time T S0 , planned duration T P and heat map sub-data, including heat map sub-files and a set of heat value growth functions; the task management module reads the reference time T b and T S0 , and starts on-orbit autonomous planning; the heat map sub-management module parses the heat map sub-files and updates the heat values to the T S0 moment; the autonomous mission planning unit filters the grids greater than the heat threshold and performs mission planning, and the planning data includes observation tasks and power-on intervals ΔT; after receiving the data, the task control management module powers off the autonomous mission planning unit to complete the task execution; obtains the status of the task execution in the previous cycle and calculates the start running time T S1 of the autonomous planning unit for the next start; the autonomous mission planning unit updates the heat values of the heat grids observed in the previous cycle. This application can significantly reduce the dependence of satellite observation mission planning on the TT&C link within a certain period.

To provide a system for detecting a marine ship.SOLUTION: A system for detecting a marine ship comprises: a mission planning system for generating a set of tasking commands to send to a plurality of satellites in an intersatellite link (ISL) relay layer; a plurality of Earth observation satellites having overlapping accessible swaths, in which a first satellite collects first sensor data at a first set of coordinates based on a first tasking command and sends the data to the ISL relay layer, and at least a second satellite trailing behind the first satellite collects second sensor data at a second set of coordinates based on the second tasking command and the first sensor data, and sends the second sensor data to the ISL relay layer; and a reception system to receive ship detection data including the first sensor data and the second sensor data and to generate at least one vessel detection report.SELECTED DRAWING: Figure 5

This invention discloses a method, apparatus, device, and storage medium for satellite-rocket coordinated mission planning. The method determines constellation configuration parameters based on the performance requirements of the current satellite-rocket coordinated mission and satellite resources. The constellation is then divided into several subsets based on these parameters, with each subset corresponding to a certain number of launch missions. Based on the number of launch vehicles and support positions at each launch site, each subset is allocated to each launch site according to a preset ratio. A preliminary deployment plan is generated based on the launch vehicle selection, launch site planning, and launch window planning at each launch site. The preliminary deployment plan is then used to verify whether the current launch resources meet the constraints. If they do, the current satellite-rocket coordinated mission is executed; otherwise, the constellation configuration parameters are redefined. This method achieves efficient coordination in satellite-rocket coordinated mission planning through a dynamic closed-loop optimization mechanism, improving resource utilization and ensuring mission feasibility under timeliness, launch window, and support position constraints.

Disclosed herein are methods and systems for operating automated vehicles to accomplish an agricultural mission according to a hierarchically computed mission plan, comprising receiving a plurality of mission parameters defining an agricultural related mission, computing a generic plan for executing the mission by one or more of a plurality of vehicle classes grouping automated vehicles sharing common vehicle parameters coupled with one or more of a plurality of payload classes grouping payloads sharing common payload parameters, computing a plurality of specific plans for executing the mission by one or more automated vehicles of the selected vehicle class(s) coupled with one or more payloads of the selected payload class(s), selecting one of the plurality of specific plans which reduces one or more mission attributes of the mission and outputting instructions for operating the selected automated vehicle(s) and the selected payload(s) to execute the mission according to the selected specific plan.

The present invention discloses a method for autonomous mission planning of Carbon Satellite, which triggers autonomous mission planning for the satellite when it detects the satellite switching from a shadow area to a light area, comprising: determining planning time sequence, wherein the planning time sequence comprise several time nodes; and then, for each time node, carrying out a prediction of the ground attributes of the sub-satellite point, and setting observation arc segment according to the prediction result; and finally, determining the load power-on-off time sequence according to the observation arc segment.

The invention discloses a two-dimensional turntable obstacle avoidance topological relation modeling and planning method, and belongs to the technical field of satellite task planning. The method comprises the following steps: planning an obstacle avoidance elliptical trajectory curve of a two-dimensional turntable according to intersection point information of an original task planning trajectory, a sun circle and a rugged limit curve; selecting a plurality of equally-spaced key path points on the obstacle avoidance elliptical trajectory curve, a fitting curve of the starting point of the original task planning trajectory and the starting point of the obstacle avoidance elliptical trajectory curve, and a fitting curve of the end point of the original task planning trajectory and the end point of the obstacle avoidance elliptical trajectory curve; according to a minimum jerk algorithm, fitting calculation is carried out on a path segment formed by every two adjacent key path points, and the optimal task planning track of the two-dimensional rotary table is obtained. According to the invention, the two-dimensional turntable can simultaneously carry out track planning of sunlight avoidance and rugged limiting, so that the task can be smoothly executed.

This invention proposes a satellite-ground collaborative mission management method for Earth observation space cloud services, belonging to the field of satellite application and management technology. This method first identifies three main roles in satellite-ground collaborative mission management; secondly, it selects a management mode based on the urgency and complexity of the needs; then, it generates mission plans and instructions for the remote sensing satellite constellation and telemetry and control station network, and executes the missions; finally, after mission execution, data is received through the space edge cloud service center and the ground station network, thereby achieving management under a cloud architecture. This method overcomes the shortcomings of existing methods, such as difficulty in coordinating satellite-ground missions, difficulty in coordinating multiple types of users, and slow data transmission speeds. It improves the collaborative management performance of remote sensing satellite missions under a satellite-ground integrated system and can meet the application requirements of rapid, accurate, and comprehensive remote sensing satellite mission planning and management.

An autonomous ship AV mission planning and monitoring system (500) generates an AV mission and determines a ship configuration of a ship to autonomously execute a mission plan. A task planning and monitoring system (500) generates a task plan (1102) including at least a mobilization phase, a sailing phase, and a reviewing phase. The mission planning and monitoring system may also generate an emergency fallback plan for the vessel for compliance in unexpected events where the vessel cannot complete the assigned mission. Each stage of the AV task is assigned one or more activities or jobs for execution by the vessel according to the task timeline (1104). Each of the one or more activities is associated with one or more primitive commands by the task plan (1106). A candidate autonomous vessel is identified for autonomously performing a task (1108), and then capability information of the candidate vessel for performing a task plan is obtained (1110) by a task plan and monitoring system. Based on the capability information, a vessel configuration is generated (1114) for the vessel to employ to autonomously execute the task plan. The vessel configuration associates one or more automation and / or navigation primitive commands with each activity that the vessel will perform according to the task timeline.

Provided herein are various enhancements for validating mission plans related to controlling operations of satellites from multiple sources. An example method includes obtaining an operational plan relating to logistical operations of one or more devices and performing a feasibility check for the operational plan based on logical rules implemented by a blockchain to determine a feasibility of an implementation of the logistical operations via the one or more devices. In response to satisfying the feasibility check, the method includes publishing the plan to the blockchain for subsequent execution.

This application discloses a method and apparatus for UAV mission planning in weather modification. The method includes: detecting characteristic data of precipitation cloud systems to determine the current movement trend and current mission waypoint of the precipitation cloud systems, and determining the estimated target waypoint; planning a mission route from the current location to the estimated target waypoint; executing the mission route; determining whether to update the estimated target waypoint; if updated, executing the route planning steps with the updated estimated target waypoint; if not updated, reaching the current mission waypoint based on the mission route; determining the seeding operation area based on the characteristic data; planning the operation route according to the seeding operation area, and seeding flares based on it. This method solves the problems of low efficiency and high implementation cost of existing weather modification methods. It can improve the effective utilization rate of flares, save the economic cost of weather modification operations, and conduct weather modification operations accurately and efficiently.