801results about How to "Guaranteed flexibility" patented technology

The invention relates to the technical field of chip task allocation, and discloses a task allocation optimization method and device for a multi-core heterogeneous ASIC (Application Specific Integrated Circuit) computing mainboard. Computing core setting information of the computing mainboard is collected, a mainboard computing performance model is generated through digital feedback processing, an executable task set is obtained, and the computing requirement of each task is analyzed; performing simulation analysis on the calculation demand set based on the performance model by using an optimization algorithm, generating a task allocation plan, identifying and generating task execution characteristics of a currently executed task, allocating the task execution characteristics according to the task allocation plan, and scheduling calculation resources to process the current task. The resource performance is accurately simulated through the performance model, the optimization algorithm ensures efficient resource allocation, responds to task changes in real time, maximizes the utilization of heterogeneous computing resources, improves the overall computing efficiency, and solves the problem of execution delay when real-time task allocation is carried out on the multi-core heterogeneous ASIC computing mainboard in the prior art.

The invention relates to the technical field of production task decision making, in particular to a furniture production task automatic matching method and system based on intelligent manufacturing. And extracting personalized demand information corresponding to the production task, converting the personalized demand information into standard design parameters, and generating a customized task. The production task is disassembled into a plurality of sub-tasks, and each sub-task has independent attributes including process requirements, resource requirements and time requirements; and performing one-to-one mapping on the customized tasks and the subtasks to generate an execution plan. Performing resource matching by using a constraint algorithm based on the execution plan and the existing production resource information to obtain a production plan; and obtaining an optimal scheduling plan by using a constraint algorithm according to the production plan. And based on the real-time production data and the burst information, adjusting the optimal scheduling plan through the data analysis model to obtain a final scheduling plan. The method can cope with emergencies or real-time data changes, and manual decisions are reduced.

The invention is applicable to the technical field of biological information, and provides a drug target prediction method based on a graph neural network, which comprises the following steps of: respectively taking a drug and a target node as a core, and automatically extracting local sub-graphs of the drug and the target node to capture local context information of the nodes in a complex biological network; taking different types of edges as feature information and fusing the feature information into a feature learning process, dynamically adjusting contribution degrees of the different types of edges to node representation through an attention mechanism, introducing residual connection and a normalization processing strategy, and fusing node features; and performing deep mining on the fused node features by using a two-layer graph convolutional network, and calculating a potential interaction prediction score between the drug and the target. The invention further provides a drug target prediction model based on the graph neural network. According to the method, independent feature extraction and training are carried out on predicted drugs and target spots, and the accuracy and richness of node representation are effectively improved while the flexibility of the model is kept.

The invention discloses a tunnel crack detection method and a tunnel crack detection system, and belongs to the field of tunnel safety detection.The tunnel crack detection method comprises the steps that a tunnel inspection robot is utilized to conduct inspection in a tunnel to obtain complete three-dimensional data in the tunnel so as to construct a three-dimensional map in the tunnel, and the position of each crack area in the three-dimensional map is determined; determining an inspection tour area corresponding to each crack area and executing path planning, and generating an optimal inspection tour path of the unmanned aerial vehicle; the optimal inspection path enables the unmanned aerial vehicle to sequentially pass through each inspection area and then leave the tunnel after entering the tunnel under the condition that obstacle avoidance conditions are met, and the total time is shortest; enabling the unmanned aerial vehicle to move according to the optimal inspection path, and scanning the crack region by using the depth camera when the unmanned aerial vehicle moves to one inspection region so as to obtain fine three-dimensional data of the crack region; and performing analysis processing on the fine three-dimensional data of the crack area to complete tunnel crack detection. According to the invention, the efficiency and precision of long tunnel crack detection can be improved.

The invention provides a credential platform data migration verification method and system, and relates to the technical field of computers.The method comprises the steps that all to-be-migrated source data in a credential platform database are read, basic information of the source data is obtained, and a data label is set for each piece of data; reading fields and contents in the migration data, and constructing a data similarity verification model; selecting a migration path and a target database according to the migration demand, and dynamically evaluating the similarity between the source data and the target data through a data similarity verification model; verifying the migrated source data based on the target database, and performing incremental verification on data of different fields in the table; the data table of the to-be-migrated source data is verified in real time among different migration nodes, data changes on each node are verified step by step through an increment verification mechanism, if data missing or verification inconsistency occurs in the verification process, an alarm mechanism is triggered, and the problem of data missing or inconsistency can be automatically recognized and corrected.

The invention discloses a liquid fertilizer application effect analysis method based on self-supervised learning. The method comprises the following steps: S1, generating initial feature data; s2, environment feature representation is generated based on a heterogeneous environment self-adaption module; s3, extracting short-term and long-term spatio-temporal characteristics of the liquid fertilizer application effect based on the dual spatio-temporal characteristic decoupling and dynamic fusion model, and generating comprehensive spatio-temporal characteristic representation; s4, generating fertilization characteristics in different situations by utilizing self-supervised learning, and eliminating environmental interference factors through a causal reasoning module; s5, generating a fertilization intention feature, and dynamically adjusting a fertilization strategy; s6, when the difference between the prediction result and the actual effect exceeds a threshold value, triggering a re-learning module to update model parameters; and S7, carrying out integrated optimization, realizing feature sharing and task coordination through multi-task collaborative learning, and carrying out automatic tuning by utilizing Bayesian optimization. The intelligent analysis of the liquid fertilizer application effect is realized through the self-supervised learning and multi-task collaborative optimization method.

The invention provides a hysteresis loop prediction model establishment method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out a hysteresis characteristic experiment on a ferromagnetic material, setting hysteresis loop related characteristics comprising magnetic induction intensity waveform data and magnetic field waveform data under the excitation of preset sine waves under different magnetic induction intensity peak values, establishing a hysteresis loop prediction model comprising an improved convolutional neural network model and a K-nearest neighbor algorithm model, training the improved convolutional neural network model, inputting a magnetic induction intensity peak value and magnetic induction intensity waveform data, and outputting magnetic field waveform data; and adjusting the magnetic field waveform data based on the feature data by using a K-nearest neighbor algorithm model to obtain a final magnetic field waveform result. According to the method, the hysteresis loop prediction model is established based on the improved convolutional neural network in combination with the K nearest neighbor algorithm, the overfitting phenomenon can be prevented, the training speed is higher, the resource consumption is lower, and rapid iteration and adjustment in practical application are facilitated.

The invention discloses an impact-resistant and distortion-resistant outdoor polyethylene power cable, and relates to the technical field of cables, the impact-resistant and distortion-resistant outdoor polyethylene power cable comprises a cable core, four annularly distributed wire cores are arranged in the cable core, each wire core is composed of an inner-layer conductor, an outer-layer conductor, a heat conduction enhancement layer, an inner enhancement layer and an inner insulation layer, a shielding combination layer is arranged outside a wrapping layer, and a shielding layer is arranged outside the wrapping layer. The shielding combination layer is composed of a high-conductivity metal thin film layer, a nanometer shielding layer and a protective coating, the anti-impact combination layer is arranged outside the shielding combination layer, the anti-impact combination layer is composed of an impact dispersion layer and an energy absorption layer, the anti-distortion combination layer is arranged outside the anti-impact combination layer, and the anti-distortion combination layer is composed of an impact dispersion layer and an energy absorption layer. The anti-distortion combination layer is composed of a core layer and an elastic buffer layer, an outer sheath is arranged outside the anti-distortion combination layer, and the outer sheath is composed of a reinforcing layer, a blocking layer and an outer protective layer, so that the problems that the power cable is poor in impact resistance and distortion resistance and inconvenient to maintain are solved.

The invention discloses a welding piece anti-deformation fixing bottom bracket which comprises a bottom table plate, a supporting rod frame assembly and an exchange type extension mechanism, a detachable clamping assembly is arranged on the upper section of the supporting rod frame assembly, and the supporting rod frame assembly can be adjusted in a locking hole in the bottom table plate in a rotating or sliding mode. And the clamping assembly is driven by the exchange type extension mechanism to achieve free position adjustment in a three-dimensional space, the exchange type extension mechanism is used for adaptive extension connection between the two supporting rod frame assemblies, and the exchange type extension mechanism assists all-directional flexible adjustment in the clamping direction of the clamping assembly by conducting angle exchange on the supporting rod frame assemblies connected in an extension mode. According to the anti-deformation fixed bottom bracket for the welded part, for a fixed clamping structure of the welded part in the fixed bottom bracket, free position adjustment in a three-dimensional space is achieved, all-directional flexible adjustment in the clamping direction is achieved, and the anti-deformation fixed bottom bracket can adapt to different structural forms of all parts in the welded part and different butt joint requirements of all the parts.

The invention provides a digital person business card interaction method, electronic equipment and a storage medium, and belongs to the technical field of data processing, and the method comprises the steps: responding to a business card viewing instruction, and outputting a target digital person business card associated with the business card viewing instruction; receiving an inquiry instruction based on the target digital person business card, and judging whether the inquiry instruction has a corresponding standard problem or not; if yes, inputting an information set associated with the standard question and the target digital person business card into a pre-trained information desensitization large model; if not, calling a preset search engine to search the inquiry instruction, determining a search data set based on a search result, and inputting the inquiry instruction, the target digital person business card and the search data set into a pre-trained information desensitization large model; and obtaining a desensitization answer output by the information desensitization large model, and outputting the desensitization answer. According to the method, the interaction efficiency of the recruitment process can be remarkably improved, the hysteresis of information transmission is reduced, and the personal information security is protected.

The invention provides an interconnection security and protection system based on the combination of a star flash technology and 5G-RedCap, and aims to solve the technical problems of complex wiring and high cost caused by wired connection of the existing interconnection security and protection system. The system comprises a concentrator and a cloud platform, and further comprises a plurality of detection devices, the concentrator and the plurality of detection devices are internally provided with star flash communication modules, adjacent detection devices communicate through the star flash communication modules, and the concentrator and the detection devices communicate through the star flash communication modules; the concentrator is further provided with a 5G-RedCap module, the concentrator is connected with the cloud platform through the 5G-RedCap module, and the cloud platform is connected with the mobile terminal. The detection equipment and the concentrator are respectively provided with a satellite flash communication module, so that mesh network networking in an area is realized, and a safety defense line in the area can be formed; the concentrator transmits equipment information in the area through the 5G-RedCap module and the cloud platform, networking between detection equipment can be achieved, mutual information linkage can be achieved, and the equipment information can also be uploaded to the cloud platform.

The invention provides a large-load industrial-grade humanoid robot upper half body module and a humanoid robot, and belongs to the technical field of robots. The large-load industrial-grade humanoid robot upper half body module comprises a head, an upper half body, a left arm and a right arm; the left side and the right side of the square chest upper body are rotationally connected with a left arm and a right arm respectively, and the square chest upper body comprises a chest structure, a waist structure, a waist rotation driving joint, a waist joint mounting part, a body binocular depth camera, a camera radar mounting part, a 360-degree laser radar, a camera mounting part and a robot battery system; the robot upper body module can be operated in multiple directions, and the flexibility and adaptability of the robot upper body module are improved; the thoracic cavity structure is stably made of plates and connected through tenons and bolts, higher rigidity and strength can be provided, and the overall weight and the machining difficulty of the thoracic cavity structure can be effectively reduced on the premise that the load weight is guaranteed.

The invention discloses a data management system based on a monitoring video stream, belongs to the field of data analysis, and aims to solve the problems of camera connection acquisition, image quality optimization, pedestrian related information analysis and data storage retrieval and backup in video monitoring. The system comprises a data acquisition module, a target detection module and a data storage module. The data acquisition module is used for identifying and connecting a video monitoring camera, performing video stream data acquisition, adjusting an acquisition frame rate by estimating a data size, and evaluating and optimizing image quality to obtain a detection image data set; the target detection module is used for carrying out feature extraction, classification and marking on pedestrians in the detection image data set, recording pedestrian trajectory information, carrying out real-time tracking and updating, identifying a behavior mode according to the trajectory information, dividing a gathering area and obtaining the pedestrian flow; and the data storage module is used for classifying and labeling the data, constructing an index structure to guarantee efficient retrieval, dividing data grades according to multi-dimensional features, and dynamically adjusting a backup time interval.

The invention discloses a large-model-driven intelligent biosynthesis system and method, and the system employs a centralized multi-large-model intelligent agent architecture, and executes a task through a modularized intelligent agent. The system is composed of a man-machine cooperation interaction module, a global task management module, a general information retrieval module, a reverse path planning module, a protease modification module, a metabolic pathway optimization module, a wet experiment tool execution module and a code execution module. Each module integrates different tools and data sources for specific task fields. By means of the system, complex biosynthesis experiment design, planning and execution can be completed autonomously, functional modules and wet experiment feedback can be dynamically adapted, and the flexibility of experiment planning is ensured.

The invention discloses an intelligent order flexible processing production scheduling management method, and relates to the technical field of order management. The method comprises the steps of obtaining demand data from a baking order management system and performing priority classification on orders to ensure timely delivery of important orders and improve customer satisfaction. The future consumption of the baking raw materials is predicted through a time sequence prediction algorithm, the inventory cost is reduced, and the production continuity is guaranteed. And configuration of production equipment, workers and raw materials is optimized through mixed integer linear programming, reasonable utilization of resources is achieved, and the production efficiency is improved. The production progress and the variation of raw material consumption are controlled and monitored through the statistical process, abnormal conditions are recognized in time, and stable product quality is ensured. And flexible processing scheduling adjustment is carried out according to the production abnormity index, and the adaptability of the production system is enhanced. In conclusion, according to the method, the intelligent level of production management is effectively improved, the production process is optimized, and powerful support is provided for enterprises in the market with fierce competition.

The invention relates to the technical field of power industrial control network asset management, in particular to a power industrial control network security-oriented asset dynamic digital fingerprint construction system, which comprises a data acquisition module, a first determination module, a second determination module, an identification module, an adjustment module and a construction module. Through accurate multi-level data acquisition, behavior analysis and threshold adjustment, the security of an electric power industrial control network is remarkably improved, the system can acquire key behavior data of equipment in real time, such as the number of bytes of a data packet, the memory utilization rate and the number of login failures, and normal equipment and abnormal equipment are accurately identified through multi-stage screening, so that the security of the electric power industrial control network is improved. The system flexibly deals with the dynamic change of the equipment behavior by adjusting the byte number fluctuation threshold value, ensures the high efficiency and accuracy of the safety detection, and effectively solves the problems that the system cannot adapt to the network asset change and cannot identify the abnormal equipment in real time due to the dependence on a static fingerprint database and a fixed similarity threshold value.

The invention relates to a blade-like curved surface global consistent geometric design method based on a PHT spline, and the method comprises the steps: carrying out the high-precision fitting of a blade-like complex curved surface and the geometric features of the blade-like complex curved surface through employing a PHT-spline curved surface. According to the main technical scheme, the method comprises the following steps: splicing and cutting a parameter domain into a globally consistent complete single parameter domain as a definition domain of a PHT spline through a boundary consistency re-parameterization process; geometric features and boundary information are comprehensively considered, a to-be-fitted data point set is obtained through reasonable sampling, and corresponding high-order geometric information is calculated; and performing high-precision fitting by controlling hierarchical subdivision of a grid to obtain a blade curved surface represented based on a PHT spline. According to the method, the problem of discontinuity caused by cutting and splicing in a traditional design method is solved, the global consistency of the overall design is ensured, and meanwhile, the design precision and efficiency are improved.

The invention discloses a phase change fiber membrane with a composite core-sheath structure and a preparation method and application thereof.The method comprises the steps that polyacrylonitrile is dissolved in N 'N-dimethylformamide and stirred to be completely dissolved, then hydroxylated boron nitride is added, the hydroxylated boron nitride is evenly dispersed through ultrasonic treatment, and a sheath spinning precursor solution is prepared; dissolving polyethylene glycol in N 'N-dimethylformamide, stirring to melt the polyethylene glycol, and taking the polyethylene glycol as a core layer spinning precursor solution; preparing a phase change fiber membrane with a core-sheath structure from the sheath spinning precursor solution and the core spinning precursor solution through a coaxial electrostatic spinning process; and placing the phase change fiber membrane with the core-sheath structure in an ethanol dispersion liquid of hydroxylated boron nitride, carrying out ultrasonic dip-coating, and then carrying out cold pressing treatment to prepare the phase change fiber membrane with the composite core-sheath structure. The obtained composite core-sheath structure phase change fiber membrane has good latent heat property, thermal conductivity and flexibility, and meanwhile, leakage of the phase change material is prevented through the core-sheath structure.

The invention relates to a database table generation method based on a large model, belongs to the technical field of database table generation, and solves the problems that a database table generation method in the prior art is tedious in creation, time-consuming and high in misoperation risk. Comprising the following steps: creating a dialogue based on a database table, and generating the database table by a large model to create an SQL statement; creating SQL statements for the database table, analyzing the SQL statements, updating a database logic table, and verifying and modifying the updated database logic table to obtain a modified database logic table; and based on the modified database logic table, updating the current database table to create an SQL statement, and further creating a database table entity. The automatic creation of the database table is realized.

The invention provides a silicon-based negative pole piece and a lithium ion battery comprising the same, and relates to the technical field of lithium ion batteries. Comprising a negative electrode current collector, a second active material layer arranged on at least one surface of the negative electrode current collector, and a first active material layer arranged on the surface of the second active material layer. The design of the two active material layers ensures high energy density, and meanwhile, the formula design is optimized by combining the bonding characteristic of the interface layer, so that large internal stress is prevented from being generated in the charging and discharging process; the organic porous cross-linked polymer is applied to the negative pole piece, and the polymer is loose and porous and can be subjected to cross-linked polymerization in a high-temperature process, so that negative pole particles are tighter, expansion of a silicon negative pole in a charging and discharging process can be buffered, and stripping and cracking of the pole piece are prevented.

The invention belongs to the technical field of machine control and management, and particularly discloses a household unmanned control and management system based on a washing robot, which comprises a washing robot main body and a washing control system, the washing control system comprises a clothes identification and analysis module, an environment information acquisition module, a clothes cleaning confirmation module, a user interaction verification terminal, a database and a clothes processing execution module. According to the invention, when the clothes information of the dirty clothes placement area is collected, whether the dirty clothes placement area needs layered detection is judged according to the collected overall scanning visual image, overall spectral data and overall scanning depth image, so that the problem of insufficient attention to clothes identification accuracy at present is effectively solved; according to the method, the mode, the water amount and the adding amount of the detergent of subsequent automatic clothes washing can be accurately controlled, misjudgment is reduced, and meanwhile, the flexibility and pertinence of washing setting are guaranteed by confirming the washing operation instruction.

The invention provides a refueling station filling function detection device and method. The device comprises an operation control module, a vehicle-mounted hydrogen storage simulation module, a hydrogen diffusion module, a hydrogen supply module, a nitrogen purging module, a hydrogen replacement module, a weighing metering module and a skid-mounted carrying module. The operation control module comprises a control unit and an operation panel, different control signals are generated according to the requirements of workers, and the vehicle-mounted hydrogen storage simulation module is used for simulating vehicle-mounted hydrogen storage systems of different vehicle types and is connected with a hydrogen filling port of the hydrogen supply module through a main filling pipeline; the nitrogen purging module and the hydrogen replacement module are connected with the main pipeline through a pressure regulating valve and a one-way valve; the hydrogen diffusing module is connected with the main pipeline through a stop valve, and hydrogen in the pipeline of the device is vented through a flame arrester. By adopting the device, the problems of complicated operation and easy damage to equipment in a station in the existing detection technology are solved, the pressure and temperature of related media are detected in real time by adopting an automatic detection technology, and the filling function and metering of the hydrogen filling machine are monitored.

The embodiment of the invention provides a query statement generation method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring a target configuration item and a selection sequence identifier of the target configuration item, creating a business form according to the target configuration item, performing form analysis on the business form to obtain a form object, converting the form object into query structural bodies, splicing the query structural bodies according to the selection sequence identifier to obtain an initial query statement, and storing the initial query statement in a database; the initial query statement is a character string, the initial query statement is subjected to statement updating, the target query statement is obtained, and the query statement generation accuracy can be improved.

The utility model provides a steering system of a vehicle. The steering system comprises a steering control device, a steering driving device and a steering execution device. The steering driving device comprises a power output module, a power driving module, a first driving circuit and a second driving circuit, the power output module is connected to the steering execution device and used for driving the steering execution device, the first driving circuit is used for being connected with a first power source of the vehicle, and the second driving circuit is used for being connected with a second power source of the vehicle. The power driving module is used for controlling the first driving circuit or the second driving circuit to be connected to the power output module; the first driving circuit comprises two first driving bridge circuits which are connected in parallel and / or the second driving circuit comprises two second driving bridge circuits which are connected in parallel; the steering control device is connected to the power output module and used for controlling the power output module to operate. According to the steering system of the vehicle, the driving safety of the vehicle can be effectively improved.

The invention discloses an environmentally friendly high-elastic polyurethane modified acrylic runway surface adhesive and a preparation method thereof, which solves the problems of insufficient compatibility and mechanical strength of a plastic runway prepared by using organosilicon modified polyurethane in the existing process, and easy shedding or stratification when the organosilicon is compounded with the polyurethane. The runway surface adhesive is composed of the following raw materials: water-based polyurethane emulsion, modified acrylate, modifier, flame retardant, antioxidant, crosslinking agent, auxiliary foaming agent and white oil. The invention provides an environmentally friendly high-elastic polyurethane modified acrylic runway surface adhesive, which uses water-based polyurethane emulsion and modified acrylate as base materials, and the method of modifying the water-based polyurethane emulsion by modified acrylate is more environmentally friendly, while the modifier in the raw materials ensures that the runway surface adhesive has high elasticity and crosslinking density, and the modifier and the auxiliary foaming agent cooperate with each other to significantly improve the foaming effect of the plastic runway, and help to generate uniform and dense bubbles inside the runway surface adhesive material.

The invention discloses clamping equipment capable of clamping irregular boron carbide pellets, relates to the technical field of clamping equipment, and provides the following scheme that the clamping equipment comprises a mounting frame, a motor is arranged at the end of the mounting frame, the output end of the motor is connected with a screw rod, a sliding frame is arranged in the screw rod, and the sliding frame is connected with the motor; a fixing frame is installed at the bottom of the sliding frame, a guide groove is formed in the fixing frame, a telescopic mechanism is slidably connected into the guide groove, butt clamps are arranged on the opposite sides of the sliding frame, an angle iron frame is welded to the outer side of the top of the mounting frame, and a mounting hole is formed in the outer side of the angle iron frame. A mounting bolt penetrates through the middle part of the mounting hole; by arranging the telescopic mechanism, three groups of telescopic blocks are respectively adapted to the outer surfaces of the special-shaped boron carbide pellets, so that the clamping force can be more uniform, the clamping contact points are effectively increased, the irregular boron carbide pellets are clamped in a self-adaptive manner, and the clamping stability and flexibility are better ensured.

The invention discloses a pressing device for assembling a metal rod and a ceramic plate, which comprises a guide column, a pressing device, a pressing device and a pressing device, the guide column comprises a fixed outer column and a movable inner column, the fixed outer column is abutted against the ceramic plate, and the movable inner column is abutted against the metal rod and is slidably connected to the inside of the fixed outer column; the pressing assembly abuts against the movable inner column and drives the movable inner column to extrude the metal rod to be embedded in the ceramic disc, the movable supporting assembly is arranged below the ceramic disc, and the ceramic disc can move on the movable supporting assembly. The ceramic plate is arranged on the movable supporting assembly, so that the position of the ceramic plate can be flexibly changed on the movable supporting assembly, the metal rod is connected through the guide column, then the guide effect on the movement of the metal rod is achieved, and the movable inner column in the guide column is extruded through the pressing assembly; therefore, the movable inner column is driven to move relative to the fixed outer column, interference fit is formed by means of the good deformation characteristic of the metal rod, and therefore the stability of mechanical connection is guaranteed.

The invention provides a low-orbit satellite high-capacity software on-orbit reconstruction method and system, and belongs to the field of satellite on-orbit reconstruction, and the method comprises the steps: S1, carrying out the batch and framing processing of an ultra-large-capacity reconstruction packet on the ground; s2, the satellite-borne management software verifies and writes the information service unit DRAM temporary area; s3, the satellite-borne management software carries out continuity verification on the current batch of reconstruction files in the DRAM temporary area, a result is downloaded to the ground, and the ground carries out supplementary injection of an error-missing packet according to telemetering; s4, the spaceborne management software writes the reconstructed file which is verified to be normal into a FLASH buffer area; s5, the satellite-borne management software forwards the complete reconstruction files to a terminal reconstruction unit in batches; and S6, after the terminal reconfiguration unit operates the reconfiguration version for a period of time, the spaceborne management software writes the reconfiguration file into the FLASH solidification area according to a ground instruction, and the reconfiguration file is used as a backspacing version. According to the method, the problem of on-orbit reconstruction of ultra-large-capacity software is solved, and the reconstruction efficiency of the satellite in the controllable arc section is improved.

The present invention relates to a flexible robotic arm based on the coupling of memory alloy and pneumatic artificial muscle, wherein the flexible robotic arm comprises a fixed disk, a spacer disk, an airbag, a center rod, a base and an air supply pipe. The fixed disk is a circular thin disk, which is installed at the end of the flexible robotic arm and is used to fix other components. The spacer disk is also a circular thin disk, which plays a supporting role in the middle of the flexible robotic arm. The airbag is a silicone thin shell structure, which provides power for the movement of the flexible robotic arm. The center rod material is nickel-titanium alloy, which has shape memory function, and the stiffness is enhanced after heating, thereby improving the stability of the flexible robotic arm. The base is a circular disk, which is used to fix other components and connect other control devices or power sources. The air supply pipe is rubber soft, which provides power by supplying air to the airbag. The present invention realizes the movement and stiffness change of the flexible robotic arm, reduces vibration and improves stability through the cooperation of the airbag and the shape memory alloy center rod.

The invention discloses an automatic management method and management system for an unmanned file library, and relates to the technical field of intelligent file management, and the method comprises the steps: continuously monitoring and recording the access time period, frequency and importance mark score of each file through a sensor; by analyzing the use frequency, the time period and the importance mark of different archives, the access requirements of which archives will be increased within a period of time in the future are predicted; a prediction model is generated according to the access frequency trend, the access demand change of each file in a certain time in the future is obtained, a self-adaptive optimization mechanism is established, and the files which are frequently accessed are automatically moved to a position which is easier to access through a self-adaptive path optimization algorithm. According to the invention, full-process automation from data acquisition and analysis to path optimization and archive access is realized, manual intervention is greatly reduced, and the unmanned trend of modern archive management is met; and the change of file access requirements can be adapted.