36 results about "Mission plan" patented technology

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.

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).

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.

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.

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.

This invention relates to the field of satellite telemetry, tracking, and command (TT&C) technology, and provides a method, system, device, and medium for satellite IoT TT&C mission planning. The method includes: S1: obtaining the set of observable arc segments for each ground station; S2: dividing the mission planning time period into m time segments; S3: first solving the mission planning result for the first time segment; S4: removing observable arc segments in the current time segment that intersect with the previous time segment, completing the mission planning for the current time segment; S5: taking the current time segment as the previous time segment and the next time segment as the current time segment, repeating step S4 until the mission planning for the second to the mth time segments is completed; S6: combining the mission plans of the m time segments to form the satellite IoT TT&C mission plan. This scheme can plan all actions within the planning time period at once, designing a reasonable planning scheme and reducing the complexity of the mission planning algorithm.

This invention discloses a multi-satellite mission planning system and method, belonging to the field of on-board mission planning. The mission planning module allocates at least one execution satellite for each specified mission based on the mission request, the current orbital information of each satellite, and current resource information, generating a mission planning scheme. When the cloud core node establishes communication with any execution satellite, it generates the corresponding mission instruction and sends it to the edge core node of that execution satellite. When the edge core node establishes communication with the ground terminal, it receives and parses the mission instruction from the ground terminal and registers the timing trigger information to the local timing scheduler. The edge core node, through the local timing scheduler, creates and runs the container image of the corresponding specified mission when the planned execution time arrives, to execute the specified mission. This invention overcomes the problem of mission triggering and timing control being impossible due to the inevitable interruptions and delays in satellite-to-ground communication.

The invention provides an automatic task planning method and system for project management, and the method comprises the steps: obtaining the project feature description of a to-be-processed project, carrying out the processing through a neural network model based on the project feature description, and generating a project portrait vector corresponding to the to-be-processed project; based on the project portrait vector, screening a preset number of historical cases through a nearest neighbor search technology; specific tasks in the screened historical cases are extracted in sequence, the specific tasks are clustered, an abstract relation chain describing the task execution sequence is generated, the abstract relation chain is added into cue words of the large language model, the dependency relationship is reasoned through the large language model, and a task plan corresponding to the to-be-processed project is generated; and executing the task plan and adjusting the task plan when the project change is received. The abstract relation chain capable of reflecting project task execution essential logic is generated, the situation that a large language model needs to consume computing resources to learn disordered historical cases is avoided, and the reasoning ability of the large language model is effectively improved.

A power event manager controller for a gas turbine engine power system, the gas turbine engine power system comprising at least one gas turbine engine, a thermal management system and at least one of a generator, an energy storage system, the power event manager controller receiving an input power demand, and receiving input relating to the mission plan, and inputs from each of the systems within the gas turbine engine power system, based upon the inputs from the from the power demand and the mission plan the power event controller defines a series of constraints, and wherein the power event manager controller utilises an optimiser function to obtain control reference trajectories which minimise an objective cost function of modelled states, whilst being subject to the series of constraints.

A kind of detector lunar surface mission planning path verification method and device, the method comprises: obtaining lunar surface task corresponding planning path, detector device simulation instance and lunar environment data;Wherein, the detector device simulation instance is that detector device simulation model is based on the lunar surface task and outputs;Input the detector device simulation instance, the planning path and the lunar environment data to the simulation model of exploration task, obtain the verification result about the planning path that the simulation model of exploration task outputs.This application can quickly simulate the detector device simulation instance automatically, and by using different granularity basic unit for different lunar surface tasks, the simulation computing load is reduced.

This application discloses a method and apparatus for calculating the time constraint interval for spacecraft mission planning. Relating to the field of spacecraft mission planning, the method includes: acquiring the target mission plan of the spacecraft and parsing the target mission plan to obtain multiple flight control tasks; extracting the start and end time nodes of each flight control task from a preset global time configuration file; for each flight control task, determining the basic time interval of the flight control task based on the start and end time nodes; and calculating the time constraint interval of the target mission plan using the basic time intervals of the multiple flight control tasks, wherein the time constraint interval is used to plan the execution time of the flight control tasks. This application solves the problem of low efficiency in the manual planning of spacecraft missions in related technologies.

The application discloses a kind of satellite mission planning control and image intelligent processing embedded implementation method, comprising the following steps: S1, constructs remote sensing satellite mission planning mathematical model and target identification algorithm model based on YOLO v3 network;S2, the task planning mathematical model and target identification algorithm model are transplanted into the embedded platform of preestablished;S3, determine the attitude of remote sensing satellite and obtain the attitude control algorithm of remote sensing satellite, based on remote sensing satellite attitude information and task planning mathematical model, obtain the remote sensing image of remote sensing satellite;S4, input remote sensing image in target identification algorithm model and carry out target identification, and then output identification result.The application creatively transplants the task planning mathematical model and target identification algorithm model constructed to the embedded platform of preestablished, based on the embedded platform of preestablished, realizes the whole process operation of remote sensing satellite's mission planning and control, remote sensing image acquisition and remote sensing image processing, to meet the demand of processing efficiency.

This invention discloses an integrated aerospace service system for planning and processing, belonging to the field of civilian satellite observation and services. The system includes a mission coordination and integrated management subsystem, a space information management subsystem, and an information comprehensive analysis subsystem. The system is designed and implemented using a "system + service" approach, effectively achieving system iteration, stability, and resilience. The system fully utilizes multi-satellite joint mission planning algorithms and remote sensing image intelligent analysis algorithms, enabling integrated planning and processing services. This invention effectively solves the problems of slow response speed, incomplete response chains, and poor service product quality when facing major events.

A system including a supervisory controller configured to receive one or more mission objectives for an aircraft mission, and condition data; a memory for storing program instructions; at least one local supervisory controller, operatively coupled to the memory, and in communication with the supervisory controller and operative to execute program instructions to: simulate execution of the aircraft mission to address at least one of the one or more mission objectives; receive data output from at least one subsystem, the data output including a measurement of an aircraft physical system; generate a mission plan executable to address at least one of the one or more mission objectives via manipulation of the at least one subsystem; receive the generated mission plan at a subsystem controller directly from the at least one local supervisory controller; and automatically execute the generated mission plan to operate an aircraft.

An autonomous vessel mission planning method 1100 generates an AV mission 1102 and determines 1112 a vessel configuration for a vessel to autonomously perform a mission plan. The mission plan 1102 has

An autonomous mission planning method for ultra-low sun-synchronous orbit optical remote sensing satellites includes the following steps: extrapolating the satellite orbit considering atmospheric drag and thrust effects; planning orbit maintenance arcs according to an autonomous orbit maintenance strategy; planning imaging and data transmission arcs respectively according to imaging and data transmission mission requirements; eliminating overlapping orbit maintenance, imaging, and data transmission arcs based on priority; estimating whether the planned arcs meet the energy requirements; if not, eliminating the planned arcs; updating the surface-to-mass ratio based on the planned arcs, and replanning using the updated surface-to-mass ratio until the planned arcs remain unchanged compared to the previous one; completing the autonomous mission planning for the next few orbits. This invention uses electric propulsion for autonomous orbit maintenance as a key constraint in mission planning, prioritizing satellite energy for orbit maintenance, and on this basis, maximizing the performance of imaging and data transmission missions.

A mission plan module generates a mission plan for a deployed remote vehicle. The mission plan comprises a plurality of commands for the deployed remote vehicle. A burst upload module receives the mission plan and selects a given subset of the plurality of commands. The burst mode module transmits the given subset of commands to a data link interface (DLI) module over a network. The given subset of commands is transmitted with a burst mode operation based on burst rate parameters, causing the DLI module to transmit the given subset of commands to the deployed remote vehicle through a ground communication element. The burst mode module receives a set of response messages from the remote vehicle responsive to the given subset of commands and selects a next subset of the plurality of commands. The burst mode module transmits the next subset of commands to the DLI module over the network.

A method for generating a predictive navigation system includes defining, based on a mission tasking, a mission route, identifying multiple mission planning images that correspond to a predetermined mission route, identifying geospatial data corresponding to the mission planning images, providing to a model, a mission plan, the mission planning images, and the geospatial data. The model is operated to generate predicted time sequenced and geo-sequenced images that are, provided to a platform control system. The predicted time sequenced and geo-sequenced images are presented during the mission to a pilot in real mission time. The mission plan includes multiple location markers that correspond to locations along the mission route. The time sequenced and geo-sequenced images depict landscapes along the mission plan corresponding to the mission plan. The predicted time sequenced and geo-sequenced images are provided to the platform control system before a mission.

The present application relates to the technical field of path planning, in particular to a long-endurance unmanned aerial vehicle monitoring task planning method and system for complex environment, a dynamic wind field model and a target random motion model are constructed according to the wind field change in the task area and the target random motion characteristics; and a unmanned aerial vehicle motion model and an energy consumption model are constructed by using Dubins model and energy consumption theory; the task requirements and constraint conditions of different task stages are set according to the dynamic wind field model, the target random motion model, the unmanned aerial vehicle motion model and the energy consumption model, and the corresponding task optimization model is established, the sum of the overall performance benefits of the unmanned aerial vehicle cluster motion is taken as the optimization objective function to optimize and solve the task optimization model, and the optimal execution strategy corresponding to the task execution stage is obtained according to the solving result. The present application can solve the problem of long-endurance unmanned aerial vehicle cluster cooperative search monitoring task planning for complex environment, and can improve the unmanned aerial vehicle cluster task execution efficiency under the condition of limited energy.

A method for unmanned aerial vehicle (UAV) mission planning includes acquiring a target aerial image of a geographic area representative of the geographic area illuminated by one or more artificial light sources, identifying a location of the one or more artificial light sources based on the target aerial image, rendering a simulated aerial image representative of the geographic area illuminated by the one or more artificial light sources at night using a digital surface model of the geographic area, the location of the one or more artificial light sources, and an irradiance parameter for the one or more artificial light sources, identifying one or more regions within the geographic area as having sufficient lighting for UAV operation at night based on the simulated aerial image, and generating a mission plan for the UAV based on the one or more regions within the geographic area.

This invention discloses a method and system for intelligent planning of integrated satellite constellation missions based on a mission priority matrix. The method includes: unifying the attributes of multi-source heterogeneous missions, obtaining unified mission objects, constructing a dynamic mission priority matrix, mapping the unified mission objects to four decision quadrants according to priority, performing hierarchical constraint planning on the mission objects according to the four decision quadrants, automatically matching heterogeneous satellite resources of the mission objects, generating intelligent planning schemes, and executing the schemes after review. This invention constructs a dynamic mission priority matrix and intelligently generates and dynamically adjusts mission priorities through an evaluation mechanism. This method not only improves resource utilization efficiency based on traditional optimization algorithms but also integrates high-level strategic intent and management experience into automated scheduling, making mission planning both mathematically optimized and decision-making rational, significantly improving the overall scheduling intelligence and collaborative capabilities of the system.

A method and system for computing a mission plan for at least one aircraft powered by electric energy or by electric and fuel generated energy. The system is configured to receive input information including aircraft information, infrastructure information and flight routes information, and to implement modules for acquiring mission specifications, acquiring user preferences, and encoding the user preferences as a multi-criteria scoring scheme, selecting at least one electric energy consumption model and one electric energy charge model, based on the mission specifications, executing at least one multi-criteria constrained optimization algorithm, trained by machine learning, for mission planning, wherein each optimization algorithm is given as objective the multi-criteria scoring scheme, the optimization algorithm being further provided with the input information, mission specifications and the selected energy models, each optimization algorithm providing as output a mission plan including, for each aircraft, an electricity charging duration at each mission terminal.