24 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.

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 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 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 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 application relates to a file system space management method and system, and efficient management of disk space is realized by constructing double AVL trees, the double AVL trees are both taken as disk segments as nodes, the disk segments are defined by starting positions and ending positions and follow the left-closed right-open rule, wherein the disk offset AVL tree is sorted according to the starting positions, and the free length AVL tree is sorted according to the lengths. When space is allocated, whether the maximum free length of the free length AVL tree meets the requested allocation length is judged, continuous space is preferentially allocated, and non-continuous space is combined when the continuous space is insufficient; after the allocation, the allocated disk segments in the double AVL trees are synchronously deleted, and the tree balance is maintained. When space is released, the continuity of the to-be-released segment and the existing free segment is detected, the new free segment is combined or directly inserted into the double AVL trees, and the balance is maintained. The time complexity of the space operation is optimized to O(logN), the storage cost is greatly reduced, the file storage continuity is guaranteed, the read-write performance and the space utilization rate are improved, the large-capacity storage scene is adapted, and many defects of the existing Bitmap scheme are solved.

The invention belongs to the technical field of operation safety and early warning, and relates to a limited space operation safety early warning method and system, and the method comprises the following steps: obtaining and recognizing a video stream of an operation scene through an AI model, and generating a violation recognition result; determining a sampling strategy of gas parameter acquisition, and executing sampling to obtain sampling data; judging whether an out-of-limit condition is met or not according to the sampling data and a threshold value; if the out-of-limit condition is met, a primary alarm instruction is sent out, and whether an evacuation event is completed or not is judged based on track detection; and if the evacuation completion event is not detected within the preset time limit, sending an advanced alarm instruction. According to the technical scheme, AI recognition and a gas sampling strategy are combined, linkage monitoring of personnel violation and gas exceeding in limited space operation is achieved, early warning and disposal can be triggered immediately after risks are found in the early stage, and the requirements for safety and real-time performance of the limited space operation in the links of risk recognition, emergency disposal and the like are met.

The utility model relates to the technical field of limited space operation, and particularly discloses a space environment detector for limited space operation, which comprises a detector main body, a plurality of control keys arranged at the top of the detector main body, a display screen arranged in the detector main body, and an alarm green light arranged at the top of the detector main body. The top of the detector body is provided with an alarm red light. The interior of the detector body is fixedly connected with an air pump. The output end of the air pump is fixedly connected with a connecting cylinder. The exterior of the connecting cylinder is fixedly connected with a first sealing ring. The interior of the connecting cylinder is slidably connected with an insertion cylinder. When the gas sampling device is used, the arc-shaped clamping plates are matched with the clamping grooves to be pressed and clamped with the first sealing ring and the second sealing ring, and then the arc-shaped clamping plates are fastened outside the two arc-shaped clamping plates through the reinforcing assemblies, so that the connecting cylinder and the inserting cylinder are tightly attached, the sealing performance of the gas sampling channel is further enhanced, and the stability and the accuracy in the sampling process are ensured.

The invention discloses a self-adaptive ventilation control method for limited space operation and an air suction and exhaust device. According to the self-adaptive ventilation control method for limited space operation provided by the invention, the dynamic risk index fusing instantaneous, trend and collaborative risk factors is constructed, so that the traditional passive response control bottleneck based on a single static threshold is broken through, and comprehensive quantitative evaluation and accurate prediction of complex and dynamic environmental risks in a limited space are realized. Therefore, the ventilation control modes are dynamically switched according to the index, early warning and gradient response can be carried out in the risk germination stage so as to effectively prevent accidents from happening, strong exhaust rescue can be carried out in the high-risk state, and the safety guarantee level of limited space operation is remarkably improved. Meanwhile, according to the self-adaptive control strategy of the method, energy waste and equipment loss of traditional switch type control are avoided, the resource utilization rate is optimized, and high intelligence and reliability are embodied.

The invention discloses an operation and maintenance task planning and scheduling method and system fused with meteorological window prediction, and relates to the technical field of operation and maintenance task planning and scheduling. The method comprises the following steps: acquiring a to-be-scheduled operation and maintenance task set and weather forecast data corresponding to each task; for the operation and maintenance task and any time slice in the future prediction period, generating a meteorological suitability score which quantitatively represents the execution suitability of the task in the time slice based on the meteorological forecast data and a preset task execution meteorological threshold; constructing a time-space operation and maintenance window matrix, wherein the matrix stores the meteorological suitability score of the operation and maintenance task in any time slice; and based on the time-space operation and maintenance window matrix, comprehensively considering dependency constraints and resource constraints among tasks, and solving the operation and maintenance task set by adopting a preset optimization algorithm to generate an optimal scheduling scheme. According to the method, a quantized time-space operation and maintenance window matrix is constructed in advance, and an uncertain scheduling problem is converted into a combinatorial optimization problem in a deterministic feasible region.