36 results about "Space operations" patented technology

The invention relates to the technical field of space operation equipment, in particular to an electric tool applied to on-orbit operation of a space mechanical arm. The high-precision control and the autonomous operation capability of the tail end of the space manipulator on the tool state in a complex space environment are realized, and the reliability, the flexibility and the automation degree of on-orbit operation are greatly improved. Compared with the prior art, the electric tool has the advantages that the structural integration degree, the function expandability and the intelligent feedback control are remarkably improved, and the electric tool is innovatively designed in the aspects of automatic storage of the bit, operation continuity and space environment adaptability; and the execution efficiency and the safety level of on-orbit maintenance and construction tasks of space stations, satellites and other spacecrafts can be effectively improved.

The invention discloses a limited space operation early warning method, system, equipment and medium, and the method comprises the steps: obtaining real-time monitoring data of an operation environment of a target limited space, inputting the real-time monitoring data into a pre-trained multi-source data fusion network model, obtaining data features corresponding to the real-time monitoring data, and carrying out the early warning of the operation environment of the target limited space; inputting the data features into a pre-trained risk assessment model, generating an operation risk level of the target limited space, judging whether the current operation environment is in a dangerous state or not according to the operation risk level, and if the current operation environment is judged to be in the dangerous state, identifying the risk source of the target limited space through a Bayesian network-based dangerous source identification model. According to real-time monitoring data, a hazard source is identified, the hazard source and data features are input into an early warning value generation model based on deep reinforcement learning, an early warning value is generated, an early warning strategy for a target limited space is determined according to the early warning value and the hazard source, and the flexibility of limited space operation early warning is improved.

The invention discloses an operation risk early warning method and system based on a limited space, a medium and a product, and relates to the field of risk analysis. The method comprises the following steps: firstly, acquiring operation state parameters of operation equipment, and automatically identifying current operation stages with different inherent risk attributes according to statistical characteristics of the operation state parameters; then, calling a preset monitoring strategy matched with the operation stage; then, acquiring current and historical environment monitoring data according to the monitoring strategy, and calculating change trend characteristics of the current and historical environment monitoring data; and finally, performing comprehensive risk judgment by integrating the current monitoring data, the change trend characteristics and the identified operation stage to obtain a current risk state, and sending early warning information when the risk state is early warning or dangerous. According to the method, the operation stage is automatically identified, and the monitoring strategy and the risk model are dynamically adjusted, so that intelligent and prospective early warning of the limited space operation risk is realized, and the effectiveness and the accuracy of safety management are improved.

The invention relates to the technical field of intelligent space operation and maintenance, and discloses an intelligent space operation and maintenance optimization method and device based on data elements, and the method comprises the steps: collecting the operation data of an Internet of Things terminal, an edge node and a cloud platform in an intelligent space, and carrying out the fusion of the operation data, and obtaining the fusion data; performing sensitive information identification and encryption on the fused data to obtain encrypted data; inputting the encrypted data into a local model of each edge node to extract equipment operation characteristics, and integrating an equipment operation characteristic set in a cloud aggregation server; performing exception identification based on the equipment operation feature set to obtain equipment exception state information; according to the method, an interpretable anomaly analysis path and a comprehensive situation awareness report are provided for operation and maintenance personnel, the fault processing efficiency is remarkably improved, and intelligent operation and maintenance management of the intelligent space is realized.

The invention discloses a free base docking device trajectory tracking control method for space operation, and belongs to the technical field of motion planning and control. Aiming at the condition that the free base docking device needs to meet the requirements of high-precision trajectory tracking and high motion flexibility at the same time, the method adopts a dual-target control strategy of trajectory tracking precision + operability index optimization, and designs a multi-performance cost functional by establishing a docking device tracking error kinematics model. And an optimal control law is deduced based on a first-order optimality condition, so that the motion flexibility of the docking device is effectively improved while the trajectory tracking precision of the docking device is ensured. The method adapts to complex working conditions of space operation, and provides a high-reliability control scheme for a space operation ground simulation test.

The invention discloses an LBE large-space operation scheduling system, method and device and a storage medium, and relates to the technical field of virtual reality, and the system comprises a development configuration module, a space mapping module, a real-time synchronization module, an application scheduling module and a remote monitoring module. According to the method, development standardization, space digitization, data real-time, task process and control remote are realized, so that the development efficiency, the operation collaboration and the scheduling agility are greatly improved, and the management range is expanded.

The embodiment of the invention discloses a three-dimensional space operation service grade evaluation method based on dynamic thermodynamic mapping. The three-dimensional space operation service grade evaluation method comprises the steps of obtaining a three-dimensional space model to be evaluated; dynamically receiving activity types, space obstacles and management and control parameters configured by the user; according to configuration content, performing dynamic people flow evacuation simulation in the three-dimensional space model; according to a dynamic simulation result, generating a dynamic three-dimensional people flow density thermodynamic diagram; and according to the three-dimensional people flow density thermodynamic diagram, evaluating the operation service level of the three-dimensional space in real time. According to the embodiment of the invention, dynamic three-dimensional space operation service grade evaluation can be realized.

A multifunctional screwing device and screwing method adapted to fine operations in orbit in space belong to the field of in-orbit space service technology. In order to solve the problem of how to transmit torque and realize screwing tasks while achieving capture in space manipulation tasks. The present invention includes a rotating support shell, a clamping mechanism, a drive and transmission mechanism and a clutch mechanism; the clamping mechanism is installed on the rotating support shell, the power input end of the clamping mechanism is inside the rotating support shell, and the claw end of the clamping mechanism is at the top of the rotating support shell; the drive and transmission mechanism is installed in the rotating support shell, the power output end of the drive and transmission mechanism is connected to the power input end of the clamping mechanism, and realizes the opening and closing of the clamping mechanism; the clutch mechanism is installed in the rotating support shell and cooperates with the rotating support shell to drive the clamping mechanism to rotate under the action of the drive and transmission mechanism to realize the screwing of the operation target. The present invention is mainly used for grasping and screwing of space operation targets.

The invention discloses a limited space operator positioning method, device and equipment and a storage medium, and the method comprises the steps: collecting the point cloud data of a target limited space, and constructing a three-dimensional digital model of the target limited space based on the point cloud data; generating initial positioning information of the operator based on the communication data of the UWB base station network and the positioning tag; adjusting the initial positioning information according to the signal arrival time and the signal strength of each UWB base station in the target limited space to obtain target positioning information; and mapping the target positioning information to the three-dimensional digital model, and displaying the position and the movement track of the operator in real time. The initial positioning information is adjusted according to the signal arrival time and the signal intensity of each UWB base station, and the obtained target positioning information is mapped to the three-dimensional digital model constructed through the point cloud data, so that compared with the prior art, the positioning accuracy of the limited space operation personnel and the safety of the limited space operation are improved.

In the operation of spacecraft, lunar rover, space habitation modules, and space robots, equipment status, work environment, worker status, and communication status are handled in a dispersed manner, making it difficult to provide consistent support in the event of communication delays or interruptions. [Solution] A fully local physical AI device for space that acquires equipment status data, environmental images, worker images / voices, and communication status data, locally generates, stores, and references mission-related information including observation events, target objects, work processes, safety constraints, estimated states, recommended actions, and candidate commands to be executed, and generates and displays natural language messages and machine-readable commands, and outputs them via voice output or to a control interface, without relying on a ground-based cloud.

The invention relates to an equipment fault hidden danger prediction method and system based on a space-time diagram neural network, and relates to the technical field of equipment fault prediction, and the method comprises the steps: collecting the designated space operation characteristics of target energy equipment, and the space operation characteristics of an adjacent position, and obtaining a space operation characteristic network; acquiring specified time operation feature sets and time operation features of a specified position and an adjacent position to obtain a time operation feature network; performing time weighted fusion on the time operation feature network to obtain fusion time operation features, and combining the space operation feature network to obtain a space-time diagram neural network through fusion; and carrying out space weighted fusion according to the space-time diagram neural network to obtain a fused space-time operation characteristic and equipment fault hidden danger prediction result. The method solves the problem that the traditional equipment fault hidden danger prediction only considers the local state or single time point data of the equipment independently, so that the fault hidden danger prediction accuracy is insufficient.

The invention discloses a parameterized compilation optimization method and system based on multi-stage intermediate representation, belongs to the technical field of computer compilation, and aims to solve the technical problem of how to unify parameterized optimization strategy logic and program core representation to solve the separation of static optimization and dynamic adaptation. Comprising the steps that a user-defined MMIR dialect is defined, and the dialect comprises a strategy.space operation, a strategy.path operation and a strategy.guard operation; the target operation is moved into an area of the newly created strategy.space operation, and a plurality of strategy.path operations are generated; the method comprises the following steps of: searching strategy.guard, evaluating a region of each strategy.guard, generating a reasoning result, and carrying out IR transformation based on the reasoning result.

This application provides a risk management method, apparatus, equipment, and medium for confined space operations, applicable to the field of confined space operation safety technology. The method includes: constructing a risk semantic association graph and determining the neighborhood subgraph of spatial nodes; performing a weighted average of target risk values ​​based on similarity to obtain a target cross-site risk value, and extracting fields to obtain a target information set; calculating conditional probabilities of the target information set and environmental vectors to obtain a target unsupervised risk value, and determining a connection matrix; iterating the initial propagation risk value according to the connection matrix and preset iteration thresholds to obtain a target propagation risk value, and performing a weighted summation of the target cross-site risk value, the target unsupervised risk value, and the target propagation risk value to obtain a target risk value; determining the target risk level of spatial nodes based on the target risk value and multiple preset risk thresholds, and outputting control prompt information; thereby improving the safety rate and accuracy of risk management in confined space operations.

The present invention provides a method for characterizing space environment simulation data, which belongs to the field of aerospace technology. The method comprises: characterizing the simulation data of a spacecraft during space operation based on three-dimensional space and two-dimensional space, and drawing an instantaneous curve graph of the space environment data based on the characterization of the spacecraft's space environment in three-dimensional space and two-dimensional space based on continuous time changes. The present invention quantitatively characterizes the simulation data of the spacecraft's space operation state and its space environment from two dimensions of three-dimensional space and two-dimensional space, determines the spacecraft's spatial position and motion state through three-dimensional data, determines the spacecraft's attitude through four-dimensional data, and characterizes the spacecraft's space environment based on cloud map analysis of the spacecraft's trajectory, so that a large amount of multi-dimensional heterogeneous data can be displayed in the same scene, which is of great significance for analyzing the complex space environment of spacecraft in engineering and improving the on-orbit service life and reliability of spacecraft.

The application relates to the technical field of three-dimensional modeling, in particular to a modeling method and system based on dynamic 3D targets, an electronic device and a storage medium, the method comprising: generating a three-dimensional modeling operation instruction, wherein the operation instruction at least contains an operation type, a target object identifier and a space scope parameter; constructing an operation semantic tree based on the operation instruction; detecting a space scope overlapping area by comparing a local operation semantic tree with a received remote operation semantic tree; applying a space-time dimension priority merging rule when the overlapping area is detected; executing the merged operation instruction and generating a binary log containing an operation semantic tree hash value; and performing a local rollback based on a differential CRC check value when an operation conflict is detected, wherein the differential CRC value is only calculated for the overlapping area data block. The application effectively solves the problems of semantic understanding loss, logical inconsistency and low recovery efficiency during three-dimensional space operation.

The invention discloses a digital experience space operation management method and system, and relates to the technical field of intelligent space management, and the method comprises the steps: collecting environment data, carrying out the preprocessing, constructing a CNN model, and carrying out the space recognition of the environment data; multi-target environment cooperative control based on particle swarm optimization and optimization effect evaluation and adjustment based on multi-dimensional data; and constructing a visual page to display an evaluation optimization result, and storing, collecting and analyzing the generated environmental data. According to the method, refined recognition of the experience space environment state is achieved through the CNN model, dynamic self-adaption and global optimality of environment regulation are achieved through the particle swarm optimization algorithm, and the experience space environment state is recognized through combination of the CNN model and the particle swarm optimization algorithm. And the environment management precision of the experience space and the intelligent degree of the system are obviously improved.

The application discloses a multifunctional detection system and method suitable for limited space operation, which comprises a plurality of gas detectors, a multifunctional detector and a receiving module; wherein the plurality of gas detectors are arranged at different elevations in a limited space operation site, used for detecting data of a plurality of gases at different elevations and transmitting the data to the receiving module through wireless communication technology; the multifunctional detector is worn by a worker inside the limited space operation site, used for detecting data of a plurality of gases in the operation environment and body state data of the worker, and automatically transmitting the detected data to the receiving module through wireless communication technology; and the receiving module is used for displaying data transmitted by the plurality of gas detectors and the multifunctional detector in real time to remote monitoring personnel. The system improves the accuracy, timeliness, comprehensiveness and reliability of the detection of the operation environment and the state of the worker in the limited space.

The invention relates to a robot for operation in a narrow and deep cavity space and a calibration method, the operation in the narrow and deep cavity space widely exists in assembly procedures of aerospace crafts, rocket engines, spacecraft cabins, submersibles and the like, and complex operations such as drilling, riveting, gluing, wiring, screw mounting and the like need to be carried out in the narrow and deep cavity space. And a severe test is provided for manual assembly work. In order to solve the problems, the invention designs a five-axis robot composed of all motion axes, an end effector connecting structure, a motion solving system and an error calibration algorithm. The invention provides a nested compact robot rotating fourth shaft and fifth shaft structure design suitable for probing into a narrow deep cavity space, an end effector modular connection quick-change structure, a motion solving system suitable for robot structure compensation in the deep cavity probing process, and an error calibration algorithm. According to the invention, manual operation is replaced to carry out complex assembly operation in a narrow and deep cavity space, and the problem that complex assembly operation is inconvenient to carry out in the narrow and deep cavity space is solved.

The invention discloses a limited space operation risk assessment method, device and equipment and a storage medium, and the method comprises the steps: obtaining real-time monitoring data of target limited space operation, the real-time monitoring data comprising environment perception data, personnel activity data and personnel physiological data; performing space-time alignment processing on the environment perception data, the personnel activity data and the personnel physiological data to generate a spatialization risk distribution data set; and inputting the spatialization risk distribution data set into a preset risk assessment model to obtain a risk assessment result, and determining a risk level based on the risk assessment result. According to the method, space-time alignment processing is carried out on environment perception data, personnel activity data and personnel physiological data in target limited space operation, a spatialization risk distribution data set is generated, then the spatialization risk distribution data set is input into a preset risk assessment model, and a risk assessment result is obtained. Accurate assessment of the risk of the limited space operation is realized, so that the safety of the limited space operation is improved.

The invention relates to the technical field of safety management, and particularly discloses a multi-scene limited space operation safety control method based on an AI algorithm, and the method comprises the steps: carrying out the multi-modal collection of limited space physical environment information and operator information, carrying out the risk feature extraction of a limited space operation safety management original data package, and carrying out the risk feature extraction; the method comprises the following steps: constructing a limited space operation risk accident model, outputting a limited space operation risk probability, a real-time risk level and a dynamic early warning instruction, predicting a ventilation equipment load rate and a first-aid kit demand quantity based on an LSTM model, determining a limited space operation resource allocation scheme, and matching historical accident cases by using an Euclidean distance. A limited space operation rescue instruction is automatically generated, and the limited space operation rescue instruction is completed through multi-agent cooperative control. The problems that comprehensive and real-time monitoring is difficult to achieve in traditional limited space operation safety management, the efficiency is low, the flexibility is low, the risk missing report probability is high, and abnormal conditions cannot be tracked in time are solved.

The invention provides an on-orbit service system for space maintenance and rescue, and the system comprises a ground operation system which is used for generating an on-satellite control operation instruction, simulating the motion condition of a space maintenance aircraft, and carrying out the real-time optimization of the on-satellite control operation instruction; constructing a space operation three-dimensional model of the target spacecraft; the optimized on-satellite control operation instruction and the space operation three-dimensional model of the target spacecraft are fed back to the space maintenance and rescue system through the information transmission system; the space maintenance and rescue system is used for receiving an on-satellite control operation instruction and a space operation three-dimensional model of a target spacecraft through an information transmission system, and downloading a target image, distance information and space operation environment video information; meanwhile, track and attitude measurement and target image acquisition are carried out on the target spacecraft, space operation is carried out on the maintenance aircraft, and space maintenance rescue tasks are carried out on the target spacecraft. According to the invention, an on-orbit maintenance and service system is formed, and on-orbit control maintenance of the spacecraft is realized.

The invention particularly relates to a file system space management method and system, efficient management of a disk space is realized by constructing double AVL trees, each of the double AVL trees takes a disk segment as a node, the disk segment is defined through an initial position and an end position and follows a left-closed right-open rule, disk offset AVL trees are sorted according to the initial position, and idle length AVL trees are sorted according to the length. During space allocation, whether the maximum idle length of the idle length AVL tree meets the request allocation length or not is judged firstly, continuous spaces are allocated preferentially, and discontinuous spaces are combined when the maximum idle length is insufficient; and after allocation, synchronously deleting allocated disk segments in the double AVL trees and maintaining tree balance. And during space release, detecting the continuity of the to-be-released section and the existing idle section, merging or directly inserting a new idle section into the double AVL tree and keeping balance. The time complexity of space operation is optimized to O (logN), the storage overhead is greatly reduced, the file storage continuity is guaranteed, the read-write performance and the space utilization rate are improved, a large-capacity storage scene is adapted, and many defects of an existing Bitmap scheme are overcome.

1. The name of the design product: limited space operation intelligent safety mobile monitoring device. 2. The use of the design product: dare to be used as space operation safety monitoring. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention discloses a lightweight data retrieval method based on spatial retrieval, which comprises the following steps of: loading a data set from a data management platform by adopting a tool library, and analyzing spatial elements in the data set into feature source objects; a tool library is adopted to convert the spatial range into geometric objects to be screened; and adopting an intersects () function and a contains () function in the tool library to screen out feature source objects which are at least partially intersected with the boundary of the geometric object to be screened to form a result set, and extracting the result set to obtain return data. By combining the powerful space operation capability of the tool library with an optimized space screening algorithm, space elements which intersect with or are contained in a space range can be rapidly screened out, the query speed and precision are remarkably improved, and the efficient requirements for space delimitation and range query in various scenes are powerfully met.

This invention discloses a hierarchical task planning method and system for precise space operations, belonging to the field of space technology. To address the large variance of gradient estimates and poor algorithm convergence when policy networks learn multiple tasks, a high-level policy planning method based on a dynamics estimator and Monte Carlo tree search is constructed. The method specifically includes three steps: offline data acquisition, asynchronous high- and low-level policy optimization, and model evaluation. This method improves algorithm convergence, helps conserve onboard computing resources for on-orbit servicing space operations, and meets practical engineering needs.

The application provides a space chopstick tool for space target despinning capture and smart control, and belongs to the technical field of space despinning mechanisms.The application solves the problem of space operation of a high-speed rolling non-cooperative target under complex unknown state conditions in the prior art.The base of the mechanical arm structure is connected with a satellite base, the chopstick mechanism is connected with the end of the mechanical arm structure, the chopstick mechanism is connected with the mechanical arm structure through a symmetric fulcrum adjustment variable stiffness joint with two directions of pitch and yaw, the chopstick mechanism comprises a resistance rod section, a telescopic sleeve section and a brush section, the resistance rod section and the sleeve section are connected through a folding joint, telescopic movement is generated between the sleeve section and the brush section, the chopstick mechanism adjusts the length and configuration according to the contact force to adapt to different non-cooperative target shapes, the brush section is a flexible structure, the contact stiffness is low, and the brush section is used for despinning and dechapterization.The application uses a chopstick type mechanism with flexible hair, and has the characteristics of light weight, telescopic, high controllability, flexible operation and the like.

The application discloses a satellite-ground system operation and maintenance method and system based on size model cooperation, and belongs to the technical field of space operation and maintenance. The method comprises the following steps: cleaning, aligning, standardizing management, and extracting and labeling specific features of multi-source heterogeneous data of a satellite-ground system, identifying entities and relationships from multiple documents, and constructing an operation and maintenance knowledge graph covering the whole business chain by associating real-time data identification; according to a user input instruction, four types of small models of abnormality detection, trend prediction, root cause analysis, and health assessment are respectively called according to task types, and reasoning is completed according to related equipment parameters and historical case data in the satellite-ground system operation and maintenance knowledge graph to generate multi-source information; the generated multi-source information is fused and globally analyzed to generate decision output and generate an operation and maintenance decision report. The application realizes intelligent management and control of the whole process through multi-level model linkage, comprehensively improves operation and maintenance efficiency and system reliability, and provides technical support for efficient and stable operation of the satellite-ground system.

The invention discloses a thermal pipe trench limited space operation risk assessment method and a thermal pipe trench limited space operation risk assessment system, and relates to the technical field of industrial safety technologies. The defects that a traditional assessment method only depends on single gas concentration detection and does not fully consider the spatial structure and gas toxicity nonlinear influence are overcome, the risk assessment result better fits the actual operation risk, a more scientific and reliable basis is provided for safety management of heating power pipe ditch limited space operation, the risk assessment accuracy is effectively improved, and the risk assessment efficiency is improved. Operation risks can be recognized, prevented and controlled in advance, and life safety of operators and stable operation of engineering are guaranteed.

The invention discloses a limited space operation safety control method and system, and relates to the technical field of operation safety control, and the method comprises the steps: recognizing the modal dominant change in a limited space operation process, and adjusting the interpretation priority and judgment reference weight of each piece of modal information according to the change of an operation stage; according to the modal dominant change of the current stage, judging whether the acquired multi-modal sensing signal is in an overall silent or abnormal silent state or not; establishing a time sequence causal chain between the behavior triggering event and the modal response to identify potential dangers; the cooperative stability among the multiple types of rhythm signals in the operation process is monitored; a response observation time window is set after the abnormal state occurs, and whether a safety intervention operation is triggered or not is judged by monitoring whether a multi-mode signal presents a self-recovery trend or not in the time window, and the safety intervention operation is performed. According to the invention, the problem that safety accidents cannot be timely and accurately identified and handled in the prior art is solved.

The invention relates to the technical field of limited space operation and robots, and provides a robot for limited space operation, a safety risk assessment method, equipment and a medium, and the robot comprises an intelligent monitoring device which is used for obtaining environmental parameters in a target limited space; and the intelligent early warning device calculates a safety risk prediction value in the target limited space based on the environmental parameters by using a pre-trained risk assessment model, and sends an early warning signal to an operator and / or a manager when the safety risk prediction value is greater than a preset first safety risk threshold value. According to the embodiment, the robot enters the limited space to execute the monitoring task, the working efficiency can be improved, meanwhile, the robot feeds back the safety risk assessment in the limited space to an operator and / or a manager in time, and the safety guarantee of the operator during operation in the limited space is improved.