24 results about "Mission management" patented technology

The invention relates to an emergency response-oriented multi-satellite collaborative observation task distributed planning method, which comprises the following steps of: modeling a plurality of satellites into an intelligent agent with an autonomous decision-making capability, and realizing task broadcasting, bidding and confirmation between a task manager and an executor by adopting an improved contract network protocol. By constructing a multi-factor dynamic evaluation function and comprehensively considering the task emergency degree, the observation feasibility, the resource state and the task conflict probability, intelligent bidding distribution of the observation sub-tasks is realized. A task conflict game diagram mechanism is introduced, the problem of multi-satellite bidding conflict is effectively solved, and the task scheduling fairness and the resource utilization rate are improved. The method has communication topology sensing and local task re-planning functions, supports adaptive recovery under the condition of node failure or communication interruption, and improves the system robustness and the task completion rate. The method has the advantages of being fast in task response, high in scheduling efficiency, high in distributed autonomy and the like, and is suitable for collaborative planning requirements of a multi-satellite system in emergency response.

This application discloses a method, apparatus, device, and medium for testing and verifying a mission management computer for unmanned aerial vehicles (UAVs), relating to the field of testing and verification technology. The method includes: loading an embedded binary program into the storage space of a first simulation node; after the testing and verification system is started and initialized based on the embedded binary program, acquiring simulation stimulus data through a physical entity node and transmitting it to the first simulation node via a target communication middleware; using the first simulation node to drive the embedded binary program to generate UAV control commands based on the simulation stimulus data, and sending them to a second simulation node via the target communication middleware, so that the second simulation node can feed back simulation status data of the target UAV to the first simulation node; processing the data through the first simulation node to obtain new simulation stimulus data, and then jumping to the step of driving the embedded binary program to generate UAV control commands, until the program execution is complete, thereby ending the testing and verification of the mission management computer.

1. The name of the design product: the space mission management graphical user interface of electronic equipment. 2. The use of the design product: for electronic equipment. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best shows the design points: the front view. 5. The use of the graphical user interface: the design graphical user interface is used for space mission management. 6. Other circumstances that need to be explained: the "x" in the front view interface represents replaceable text and / or numbers.

We propose a transport task management system that can complete priority transport tasks in the shortest possible time and execute transport tasks efficiently. [Solution] When a priority transport task arises, from among the robots 41-44 currently executing transport tasks with lower priority than the priority transport task, and the robots 41-44 that are on standby, the robot 41-44 that can reach the source of the priority transport task (manufacturing location 31-34) in the shortest time while being able to transport the items of the priority transport task is selected, and the priority task is assigned to this robot 41-44. Then, information about the priority transport task is output to the assigned robot 41-44. This minimizes the time required to complete the priority transport task and allows for efficient operation and management of the robots 41-44 performing the transport tasks.

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.

A refuse collection system is provided. The refuse collection system includes refuse collection drones and a service manager. The refuse collection drones are configured to retrieve refuse from a customer and deposit the refuse in a refuse depot. The service manager includes processing circuitry. The processing configured to obtain refuse production data associated with the customer. The processing circuitry is further configured to create, based on the refuse production data, a model of refuse collection requirements of the customer. The processing circuitry is further configured to predict, based on the model, a predicted collection date and time at which the customer will next require refuse collection. The processing circuitry is further configured to dispatch at least one of the refuse collection drones to collect refuse from the customer based on the predicted collection date and time.

A mission management compute device is configured to assign each mission from a plurality of missions to an operator from a plurality of operators. Each operator from the plurality of operators is uniquely associated with at least two unmanned vehicles from a plurality of unmanned vehicles. A plurality of ground control compute devices is operatively coupled to the mission management compute device. Each ground control compute device from the plurality of ground control compute devices is uniquely associated with an operator from the plurality of operators and the at least two unmanned vehicles uniquely associated with that operator. The mission management compute device is configured to automatically determine that an operator from the plurality of operators cannot perform a mission from the at least two missions associated with that operator and automatically reassign the mission that cannot be performed by the operator in response.

The invention provides an unmanned aerial vehicle deployment honeycomb system, and relates to the technical field of unmanned aerial vehicle transceiving. S1, a basic adaptation module, wherein the basic adaptation module comprises an unmanned aerial vehicle storage assembly and an unmanned aerial vehicle automatic charging assembly; s2, a flight control module, wherein the flight control module comprises an unmanned aerial vehicle take-off and landing guide assembly, a path planning assembly and a trajectory tracking assembly; s3, a data processing module, wherein the data processing module comprises a task management component, a data transmission component and an information real-time processing component; data of the position of the unmanned aerial vehicle is transmitted to the trajectory tracking assembly through the visual identification positioning device and the positioning system, the trajectory tracking assembly obtains various data of the unmanned aerial vehicle in flight in real time through the kinematics parameter acquisition unit, and when path deviation occurs, deviation signals are fed back to the path planning assembly, and the path planning assembly plans the path. The trajectory tracking assembly and the path planning are matched with each other, so that closed-loop cooperative operation from deviation detection to path correction to tracking execution can be completed.

The present application relates to systems and methods for processing function selection. In an example method, a mission management function obtains a list of processing function identifiers (IDs) indicative of at least one processing function connect to a service controller, the mission management function selects one or more selected processing functions from the at least one processing function for the service controller, the mission management function sends one or more selected processing function IDs of the one or more selected processing functions to the service controller.

An apparatus, method, apparatus, and readable storage medium are described for controlling function relocation wherein, according to one embodiment, the apparatus includes a processor coupled with a memory storing computer program code, in one embodiment, a system includes computer program code to cause a first device to perform the following: for a first task executed by a first task control function (TCF), determining that the first TCF is to be replaced by a second TCF, where the first TCF and the second TCF are managed by mission management (MM), and for a second task executed by the first TCF, determining that the first TCF is to be replaced by the second TCF, where the first TCF and the second TCF are managed by the MM. And transmitting, to the first TCF, a first synchronization request including information of the second TCF for requesting the first TCF to transmit task execution (TE) information to the second TCF, the TE information including execution information of the first task executed by the first TCF. Therefore, the relocation from the o-TCF to the n-TCF is realized.

The invention relates to a remote test system and method for cabin ecology. The system comprises a cloud service platform and at least one test bench deployed at a remote position. The cloud service platform is provided with a web service module, a business logic module, a data storage module and a remote scheduling module. A user remotely creates a test task through the web interface, the cloud service platform performs task management and authority verification, the cloud service platform issues the task to the corresponding rack for execution, and finally, the state and the result are returned to the web interface in real time. According to the invention, the physical space limitation can be broken, the test efficiency and the cooperation capability are improved, the cross-region test cost is reduced, and the method is suitable for the whole-process remote test of the distributed cockpit system.

This invention relates to the field of satellite communication technology, and more particularly to an intelligent optimization method, system, server, and storage medium for satellite communication missions. The method designs the initial communication link structure based on mission requirements, dynamically optimizes the link layout by calculating inter-satellite and satellite-to-ground distances in real time, improving transmission efficiency and stability. It introduces an intelligent mission management module, combined with system control algorithms, to monitor link status and achieve adaptive allocation of resources such as bandwidth and power, enhancing multi-mission collaboration capabilities. Integration testing of the link structure and management module is conducted by simulating a real orbital environment, and the optimal interconnection path is deployed based on the test results, ensuring the reliability and robustness of the system in practical applications. This method significantly improves the resource utilization, link reliability, and overall performance of satellite communication.

A system and method are provided for automated pre-launch and post-launch inspection of space launch vehicles and associated launch infrastructure using coordinated swarms of unmanned aerial vehicles (UAVs). In one implementation, multiple autonomous UAVs equipped with multi-modal sensors and protective design features execute coordinated inspection patterns under control of a mission management system that adapts to environmental conditions and enforces safety constraints. Sensor data are processed to detect and classify anomalies, generate inspection reports, and store results for trending analysis and predictive maintenance.

A mission management system for a heavy-duty vehicle, including processing circuitry configured to: receive a request for a transport mission; identify one or more available routes; identify, along said one or more available routes, energy supply stations which are suitable for re-supplying energy to the heavy-duty vehicle and which have available un-booked time slots for such re-supplying of energy; determine, for at least one available un-booked time slot of at least one of the identified energy supply stations, a probability of missing that time slot due to the heavy-duty vehicle arriving late to the energy supply station;select, based on the determined probability, a route and an energy re-supply plan associated thereto, for the heavy-duty vehicle for accomplishing said transport mission; and present the selected route and associated energy re-supply plan to a user interface and / or provide the selected route and associated energy re-supply plan for storage in a memory.

1. Name of the product in this design: Spaceborne Electronic Platform. 2. Application of this design: This design is used to realize satellite mission management, attitude and orbit control calculation and management, power control and management, thermal control management, data processing, telemetry and control and data transmission management. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application provides a configurable general satellite task management method and device, which decomposes satellite tasks into tasks, subtasks and subevents according to a tree structure from general to specific; stores the content and internal logical relationship of the tasks, subtasks and subevents in the on-board storage space; executes corresponding satellite tasks according to the content and internal logical relationship of the tasks, subtasks and subevents; and designs, edits, modifies and uploads the content and internal logical relationship of all the tasks, subtasks and subevents in the satellite task to the on-board storage and execution according to the on-orbit use requirement. The application generalizes and models the satellite task flow, effectively realizes the fast task design, task modification and task reconstruction of the satellite management software, effectively improves the satellite task flow design efficiency and satellite management efficiency, and solves the on-orbit task flow fast modification and task reconstruction requirement problem.

The present application belongs to the field of tactical cooperative command technology, and relates to a tactical task planning and distribution system, which is composed of multiple member systems and a wireless ad hoc network. The member system comprises: a tactical command module for a commander to plot a task mark and distribute the task to members, and to support the members to display the received task on a map; a task management module for managing information of a task being executed; a voice reminding module for reminding a user when completing operations such as receiving, reading and closing a loop; a target plotting and sharing module for supporting to plot a position of an enemy observed on a map and send to other members to realize sharing of the position of the enemy; and a member management module for displaying in real time a state of all members of a friendly side, including online / offline, carrying a weapon, a current task and the like, and also supporting to mark a survival / death state of the members of the friendly side. The present application can support a commander to deploy and issue a task at any time and any place, and to grasp in real time a task execution situation of the members.

In various examples, behavior-based mission task management for mobile autonomous machine systems and applications are provided. A mission controller may generate a mission behavior model logic framework for a mission that accounts for the actions of a set of multiple task agents that play a role in completing the mission. The mission controller may assemble a framework starting from a baseline task sequence, correlate tasks defined by the baseline task sequence with pre-defined behavior models, and customize those behavior models based on mission task customization parameters. The mission controller may provide the mission behavior model logic framework to a mission dispatch function. Individual autonomous mobile task agents may then proceed to execute their assigned portions of local task sequences in accordance with the customized behavior models distributed to them by the mission dispatch function.

1. Name of the product in this design: Graphical User Interface for Satellite Mission Management and Terminal Control System of Electronic Equipment. 2. Application of this design: This design is intended for use in an electronic device. 3. The key design features of this product are the graphical user interface displayed on the electronic device. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Purpose of the graphical user interface: The interface of this product is used in electronic devices to integrate and monitor the status and link information of satellite terminal equipment, and to realize the creation, execution and full-process tracking of satellite missions. 7. Human-computer interaction method of graphical user interface: The main view is the initial state of the integrated monitoring homepage; in the main view, clicking the "Task Management" button in the top navigation bar will enter the interface change state diagram 1; in the interface change state diagram 1, clicking the "Add" button will enter the interface change state diagram 2; in the interface change state diagram 2, clicking the "Three-point forecast (low orbit)" button will enter the interface change state diagram 3; in the interface change state diagram 3, selecting any circle number in the table below will enter the interface change state diagram 4; in the interface change state diagram 4, clicking the "Equipment monitoring" button will enter the interface change state diagram 5; in the main view, clicking the "Measurement and Control Baseband" button in the equipment block diagram on the left will enter the interface change state diagram 6. 8. Other situations requiring explanation: Other explanation: "XX" in the interface represents replaceable text and / or numbers and / or letters and / or symbols.

The invention relates to an AI-based automatic guided vehicle scheduling system and method, and belongs to the technical field of vehicle scheduling. The system comprises a task management module, an environment perception module, a multi-agent reinforcement learning scheduling center, a path planning and conflict prediction module and a communication module. According to the invention, through multi-agent reinforcement learning, the system can learn a complex scheduling strategy from historical data, is adaptive to a dynamically changing environment, and realizes long-term overall benefit maximization instead of simple rule response; a dynamic weight mechanism is introduced, a plurality of factors such as task emergency degree, path efficiency, equipment state and traffic jam can be considered at the same time, and the weight is self-adjusted according to an actual effect, so that fine balance among multiple targets is realized; according to the method, conflict prediction is fused into a path planning stage, passive solution is changed into active avoiding, system deadlock and congestion risks are remarkably reduced, and operation fluency and reliability are improved.

The invention provides an LLM-based multi-unmanned aerial vehicle cooperative trajectory planning method and a task management system, and relates to the technical field of unmanned aerial vehicle control. The method comprises the following steps: S1, multi-source environment perception and dynamic map construction; s2, LLM intelligent task allocation and motion parameter optimization; s3, multi-unmanned aerial vehicle cooperative trajectory planning and optimization; s4, performing real-time security verification and track adjustment; and S5, track execution and dynamic re-planning. According to the invention, a dynamic map is constructed through multi-source environment perception, intelligent task allocation and motion parameter optimization are carried out by using LLM, a safe trajectory is generated by adopting cooperative trajectory planning based on unmanned aerial vehicle dynamics, and the reliability of the system is ensured through real-time safety verification and dynamic adjustment. According to the method, the motion law of the unmanned aerial vehicle is fused in trajectory planning, the optimal trajectory is directly calculated, the efficiency is high, and the dynamic environment adaptability is ensured through LLM real-time decision making.

A satellite compressed task time allocation method and system based on energy-thermal equivalence constraints is proposed, relating to the field of spacecraft mission management and on-orbit scheduling technology. This method offers a simple and efficient compressed task scheduling approach that balances time window constraints, energy constraints, and thermal control constraints. The process involves: acquiring task information and obtaining non-overlapping idle regions from the scheduling window; calculating the energy-thermal equivalence scaling factor of the task based on the task information; converting the basic execution time of the task into an energy-thermal equivalence execution time based on the energy-thermal equivalence scaling factor; constructing a candidate task set based on the energy-thermal equivalence execution time; prioritizing the selection of tasks with the shortest execution time windows from the candidate set; searching for the smallest interval within the execution time window that meets the execution requirements and placing the task accordingly; updating the task status and the number of non-overlapping idle regions, and repeating the above steps until no task can be scheduled.