42results about How to "Improve mission performance" patented technology

The invention relates to a mobile edge network intelligent resource allocation method capable of dividing tasks, which comprises the following steps of: dividing serial tasks generated by a terminal to obtain a plurality of subtasks, and establishing an unloading task model; respectively establishing a time delay model and an energy consumption model for the subtasks according to a local execution mode or an unloading execution mode, and defining an unloading joint target optimization function based on a multi-user serial dependent task; in a multi-server scene, establishing a Markov game model according to a cooperative competition relationship of multiple users to wireless communication and computing resources, and optimizing the unloading joint target optimization function; and in a time-varying environment, taking each terminal as an independent agent based on part of system state information to execute a reinforcement learning algorithm to solve the Markov game model, and determining an unloading strategy, sub-channel selection, transmitting power and resource allocation quantity. According to the mobile edge network intelligent resource allocation method, server resources can be reasonably allocated, fragmented resources can be fully used, the terminal user experience is ensured, and the network operation stability is improved.

The invention discloses an attitude compensation method of agile satellite imagery in reverse push-broom mismatch. Aiming at the defect (only considering the drift current effect brought by earth rotation) of the attitude compensation method in the traditional imagery mode (the satellite directing over the ground is fixed), through analyzing the generation reason of a drift angle under the imagery mode of constantly changing satellite reverse push-broom attitude directing over the ground (constantly changing attitude directing over the ground under the condition of mismatch between the substellar point speed and the camera push-broom speed), the drift current effect of imagery is considered from three aspects (orbital motion, earth rotation and camera push-broom speed), a drift current angle calculation formula under the mode is obtained according to the orbital attitude parameters combining the basic definition of the drift angle, on the basis, the satellite attitude compensation method is obtained by combining the basic principle of TDICCD (time delayed and integration charge coupled device) imagery and the yaw control principle, and the imagery requirement of agile satellite reverse push-broom can be satisfied.

The embodiment of the invention discloses a neural network structure searching method, device and equipment. After a set of hyper-parameters output by the hyper-parameter search model is obtained, structural hyper-parameters in the set of hyper-parameters are used for searching to obtain a current neural network basic unit structure, so that a first neural network model is established according tothe current neural network basic unit structure; the first neural network model is trained by using the training hyper-parameters in the group of hyper-parameters; and a second neural network model is generated, and the second neural network model is tested to obtain an evaluation result, so as to update the hyper-parameter search model based on the evaluation result and return to execute the step of obtaining a group of hyper-parameters output by the hyper-parameter search model again; and the search is repeated until a preset stop condition is reached, and the current second neural networkmodel is determined as the target neural network model. Therefore, the task execution effect of the neural network model can be effectively improved.

The invention provides a task optimal scheduling method and can improve the task execution performance. The method comprises the following steps: S1, constructing a data dependency matrix between any data blocks in a DC (Data Center); S2, converting the data dependency matrixes into data clustering matrixes; S3, carrying out submatrix segmentation on the data clustering matrixes according to maximum available storage capacities of machine frames and of nodes in the machine frames, and placing the data blocks corresponding to the data clustering matrixes onto the nodes in the machine frames according to a segmentation result to obtain a current data placement scheme; S4, under the constraints of the current data placement scheme, with data migration cost minimization as a goal, determining a current optimal task scheduling scheme; and S5, when a data locality degree and a data migration cost in task execution process meet predetermined conditions, executing steps S1 to S4 repeatedly; or otherwise, outputting the current data placement scheme and the current task scheduling scheme as optimal solutions for task scheduling. The task optimal scheduling method provided by the invention is applied to the technical field of computers.

The invention discloses an edge computing task processing and scheduling method and device in an industrial Internet environment, and the device comprises the steps that an information feedback modulecollects periodic broadcast information of a base station associated with each set user equipment UE in a target region and transmits the periodic broadcast information to an information analysis andprocessing unit, a terminal equipment monitoring unit collects or receives the monitoring information of each UE and sends the monitoring information to the information analysis and processing unit,an information monitoring module collects real-time parameter data of each UE and sends the real-time parameter data to a heterogeneous data processing unit, a service priority processing unit and a terminal equipment monitoring unit, the information analysis and processing unit generates a state feedback result corresponding to the UE according to the received information and sends the state feedback result to the information feedback module and an equipment flow overall scheduling module, and a scheduling module generates an overall resource scheduling instruction according to the state feedback result and the feedback information of a task unloading decision unit, sends the overall resource scheduling instruction to each MEC through the information feedback module, and sends the condition information of the MEC to the task unloading decision unit.

A method for use that star sensor of low-inclination satellite includes determine the number of star sensors and mounting layout accord to the constraint of the sun inhibition angle and the earth inhibition angle of the star sensor, determining the number of star sensors and the mounting layout of the star sensors according to the constraint of the sun inhibition angle and the earth inhibition angle of the star sensor. On the premise of ensuring the energy supply, the attitude of the satellite is designed to ensure the availability of the star sensor. The method can enhance the star sensor's ability to restrain stray light such as sunlight and earth-air light, and improve the star sensor's on-orbit availability, thus ensuring the satellite's attitude determination accuracy and improving the satellite's mission execution ability.

The embodiment of the invention provides a partitioning method and device and a storage medium. In the embodiment of the invention, the ground three-dimensional point cloud data in the operation areaof the self-mobile equipment is collected, the ground feature information is identified based on the ground three-dimensional point cloud data, and the operation area is partitioned based on the ground feature information. The ground three-dimensional point cloud data with relatively high precision is used. The operation area can be partitioned more accurately, so that the autonomous mobile equipment can execute the operation task more flexibly and conveniently based on the partitions, the range of the operation partitions can be smaller and more accurate, the flexibility, efficiency and/or quality during operation task execution can be improved, and the task execution effect is improved.

The invention discloses a posture compensation method in case of mismatched side-swing push-broom velocity in imaging of an agile satellite. For the limitation (only the drift action caused by auto-rotation of the earth is considered) of the posture compensation method in the traditional imaging mode (the pointing direction of the satellite to the ground is fixed), the drift angle calculation formula is obtained under the mode according to the track posture parameter by analyzing the reason for the generation of the drift angle under the imaging mode (namely the condition that the substellar point velocity is mismatched with the push-broom velocity of a camera, and the pointing direction of the posture at the moment to the earth changes continuously) that the pointing direction of the side-swing push-broom posture of the satellite to the earth changes continuously, considering the drift action of the imaging from the three aspects such as orbital motion, auto-rotation of the earth andthe push-broom velocity of a camera and combining the basic definition of the drift angle. On the basis, by combination of the basic principle of TDICCD (time delay integration charged coupling device) imaging and the yawing control principle, the satellite posture compensation method is given, so that the imaging requirement for side-swing push and broom of the agile satellite can be met.

The invention discloses a task migration method and system of an underwater ad hoc network based on an edge gateway. The method comprises the steps of selecting the edge gateway used for task migration management; adding sensor node information to a resource manager of the edge gateway; arranging the sensor node information by the edge gateway to form priority ranking of the nodes in the resourcequeue; arranging the task information of the original sensor nodes in a descending order by the edge gateway according to task priorities and puts the task information into a task queue of a task manager, and selecting an optimal task cooperation node; and migrating the task to the task cooperation node through the edge gateway for task calculation, and sending a calculation result to the originalsensor node. According to the method, the underwater self-organizing network node sends the collected seabed heterogeneous data to the nearest edge gateway, and the edge gateway migrates the task ofthe resource-limited node to the node with rich resources for cooperative completion, thereby balancing the network load, reducing the node energy consumption, and improving the marine data observation efficiency.

The invention discloses a task synthesis method for an aircraft task system. The task synthesis method comprises the steps of task situation awareness model synthesis, task plan evaluation decision model synthesis and task execution and management model synthesis. The task synthesis method for the aircraft task system can basically meet the requirement of the synthesis function needed in the aircraft typical avionic aircraft combat task model, achieve the effects of improving the system task awareness property, the task optimization property and the task execution property, and support integrated design work of an airborne task system.

The invention discloses a synergetic networking method for unmanned surface vehicles. The method is characterized by comprising the following steps of: 1, carrying out synergetic networking on individual unmanned surface vehicles, forming an unmanned surface vehicle group, selecting a group leader in the unmanned surface vehicle group, setting two unmanned surface vehicles which are used for preparing the synergetic networking as a vehicle A and a vehicle B, enabling the vehicle A and the vehicle B to enter a networking state after controlling wireless network communication equipment for networking to be started at a command console, continuously sending a networking request outwards, and receiving networking requests of the other vehicles at any time; and 2, carrying out synergetic networking on the unmanned surface vehicles. According to the method, a synergetic networking relationship of the unmanned surface vehicles is established by utilizing the wireless network communication equipment carried on the unmanned surface vehicles.

The invention relates to the technical field of robot collaboration, provides a robot collaboration method and device and a first robot, and aims at solving the problem that the task processing effect is poor. The method comprises the steps that: a target service task is obtained; a first control message is sent to a second robot, the first control message is used for controlling the second robot to enter a first working mode, the second robot executes a first sub-service task corresponding to the first working mode in the target task service in the first working mode, and the second robot has multiple working modes, wherein the plurality of working modes comprise a first working mode; after a first notification message sent by the second robot for completing the first sub-service task is received, under the condition that a second sub-service task in the target service task meets an execution condition, a second control message is sent to the second robot, and the second control message is used for controlling the second robot to be switched to a second working mode, and in the second working mode, the second robot executes the second sub-service task so as to improve the task execution effect.

The invention provides an airplane part fault disposal method about a maintenance external field, and belongs to the technical field of computers. According to the method, based on a military flight big data "cloud-end" technology, a fault diagnosis case library and a fault disposal plan library are automatically created in a cloud end of a system; fault data is subjected to summary analysis at the cloud end; and through specific fault phenomena, in combination with comprehensive analysis of theoretical service lives of airplane parts, reliability data, index data and the like stored in the cloud end, a terminal of the system judges the function attenuation degrees of the airplane parts, and quickly gives out specific fault disposal methods and accurate airplane part replacement opportunities. By applying the method, automatic optimal fault disposal strategy and application mechanism are provided for a user while real-time disposal of airplane part faults of a military airplane is guaranteed.

The invention belongs to the technical field of flight control of unmanned helicopters, and discloses a link failure emergency disposal method during route flight of an unmanned helicopter. Three selectable modes are provided: an original route return mode, namely, during automatic route flight, when a measurement and control link fails, the helicopter immediately adjusts the heading direction toreversely fly along the covered route to return to a take-off point; a direct course reversal mode, namely, during automatic route flight, when a measurement and control link fails, the helicopter immediately exits the route flight, and adjusts the heading direction to return to a take-off point through a shortest straight line path; a task priority mode, namely, during automatic route flight, thehelicopter continues the current automatic route flight and does not deal with the situation that the measurement and control link fails.

The embodiment of the invention provides a process grouping method and device for an RPA process execution end, equipment and a medium. The method comprises the following steps: receiving a process grouping request of a user; adjusting a pre-established process group according to the process grouping request, the process group comprising a plurality of processes; execution process group. Accordingto the method provided by the embodiment of the invention, through flexible combination of a plurality of simple processes, the RPA under a complex task can be realized, the process execution effectand the task execution capability of the RPA process execution end are improved, and the task execution effect is further improved.

The invention provides a resource distributed cooperation method and system based on a small unmanned aerial vehicle. The method comprises a task sensing step: predicting resources consumed by a to-be-executed task, and carrying out the modeling analysis of the task, a topological structure forming step: forming a topological structure for completing a task by utilizing the resources provided by each unmanned aerial vehicle and the relative position information, a task calculation and distribution step: modeling an executed task by summarizing resources provided by each unmanned aerial vehicleto obtain a resource distribution mode, and a task result integration step: integrating results executed by each unmanned aerial vehicle, and finally completing the task, wherein the resources comprise calculation, storage, communication and energy resources. The task planning method of multi-unmanned aerial vehicle cooperation can be specified according to the requirements of tasks and the reasonable performance of small unmanned aerial vehicles, and the system efficiency is improved.

The invention belongs to the technical field of aircrafts, and provides a method for positioning multiple targets according to image information of a single aircraft seeker. The method comprises the steps: based on seeker image information, providing a multi-target positioning method under two conditions that the reference target position is known and unknown; if the position of the reference target is known, measuring the relative orientation, perpendicular to the sight line, of the multiple targets and the reference target through seeker image information and converting the relative orientation into a ground coordinate system, so if the position of the reference target is known, the position of the auxiliary point can be obtained; extending the connecting line of the aircraft and the auxiliary point to the ground to obtain a multi-target position estimation value; if the position of the reference target is unknown, measuring the orientation of multiple targets by using seeker image information to obtain the unit relative position vector of the aircraft and the multiple targets, converting the unit relative position vector to a ground coordinate system, and enabling the relative position vector of the aircraft and the targets to be extended to the ground to obtain a target position estimated value. The method can be applied to ground target tasks of various aircrafts, and the environment adaptive capacity and the task execution capacity are improved.