8065results about How to "Improve performance" patented technology

The invention relates to a method for preparing a lithium iron phosphate / carbon composite material of a lithium ion battery, which belongs to the technical field of lithium ion batteries. The method for preparing the lithium iron phosphate / carbon composite material of the lithium ion battery comprises the following steps of: 1) preparing a suspending graphene-dispersed aqueous solution system, namely, crushing graphite to 1 to 5 microns, adding the crushed graphite into distilled water or purified water, adding 0.1 to 5 percent of surfactant, heating with stirring the mixed solution to 180 to 250 DEG C in a sealing way, performing stirring for 2 to 6 hours and reducing the temperature; 2) crushing lithium iron phosphate to the particle size of 1 to 5 microns, adding the crushed lithium iron phosphate into the distilled water or the purified water, adding with stirring 0.01 to 1 percent of coupling agent, performing uniform stirring, adding the graphene-dispersed aqueous solution, and performing stirring and filtration; and 3) vacuum-drying solid powder obtained by the filtration, and calcinating the dried solid powder for 2 to 12 hours to obtain the graphene-coated lithium iron phosphate cathode material. The method has the advantages of simple process, high material performance, high conductivity, high bulk density, high compacted density and the like.

Systems and methods for managing divergence of best effort transactional support mechanisms in various transactional memory implementations using a portable transaction interface are described. This interface may be implemented by various combinations of best effort hardware features, including none at all. Because the features offered by this interface may be best effort, a default (e.g., software) implementation may always be possible without the need for special hardware support. Software may be written to the interface, and may be executable on a variety of platforms, taking advantage of best effort hardware features included on each one, while not depending on any particular mechanism. Multiple implementations of each operation defined by the interface may be included in one or more portable transaction interface libraries. Systems and / or application software may be written as platform-independent and / or portable, and may call functions of these libraries to implement the operations for a targeted execution environment.

The invention discloses a fiber foamed concrete and a preparation method thereof. The fiber foamed concrete comprises the following raw materials in parts by weight: 5290 parts of cement, 4965 parts of water, 1.361 part of foaming solution, 1.2964 part of fly ash and 10 parts of fiber. The preparation method comprises the following steps: proportionally weighing the components; sequentially adding the cement and fly ash into a stirrer, proportionally weighing the water, uniformly stirring the mixture by the stirrer, and adding the fiber; preparing and adding the foaming solution; gradually adding the foam into the mixture, and continuously stirring until all the components are uniformly mixed; pouring the mixture into a mold on which lubricating oil is brushed, and curing in a curing chamber; after 24 hours, removing the mold; and respectively curing for 3 days, 7 days and 28 days for experimental detection. The fiber foamed concrete has the advantages of favorable thermal insulation property, favorable compression resistance and favorable bending resistance, and is applicable to a railway bed strengthening layer.

The embodiment of the invention provides an excavator handle control system for remote operation, a handle control method based on a Hall sensor is adopted, non-contact rocker data sensing is achieved, the influence of contact and movement abrasion on the service life of a handle is reduced, and the excavator handle control system has the advantages of being high in sensitivity and good in performance; the handle mechanism is more flexible to operate, and the service life of the handle is prolonged; a two-hand cooperative control mode is adopted, and two three-degree-of-freedom handles are used for simulating the driving environment of a real excavator, so that a good remote control effect is achieved, and the feeling of presence of an operator in the remote operation process is improved; the operation habits of a driver are fully considered, the walking and working of the excavator are respectively controlled through combination of different degrees of freedom of the left hand handle and the right hand handle, an operating lever of the real excavator is simulated in the aspects of structure, motion degree of freedom and working range, and the man-machine interaction environment of excavator driving is restored.

The invention discloses a multi-user sharing-oriented multimedia network video recommendation method, which comprises the following steps: firstly, constructing multi-user characteristics by utilizing collected program information in a multi-user sharing environment, and constructing a leading user label according to the similarity of the program characteristics and the continuity of user watching behaviors, so that separation of multi-user mixed logs is realized; performing periodic multi-user identification prediction of future sessions; secondly, building a user interest mining model based on a time-varying LinUCB algorithm to learn interest changes of a user for each program theme, and enhancing the personalized ability and efficiency of a recommendation system from three aspects of parallel calculation, adaptive control of an exploration coefficient and incremental updating based on LSTM; and finally, establishing an article quality model based on a non-time-varying LinUCB algorithm to further ensure the program quality, and integrating the two algorithms into a final recommendation system model by adopting a cross weighting strategy to form a final program recommendation list. The novelty and accuracy of the recommendation result are ensured.

The invention relates to the technical field of knowledge graph completion, in particular to a large model knowledge graph completion method and system based on causal guidance. The method comprises the following steps: acquiring a target knowledge graph and an input triple to be complemented, performing structured analysis on an input triple relationship, extracting key topological characteristics, constructing a structured mediation variable, mapping the structured mediation variable into a structure guide prefix, injecting the structure guide prefix into large model input, and constructing a double-path inference model to generate an inference prediction result; and meanwhile, a gradient sensing dynamic loss balance mechanism is introduced, the loss weight is adaptively adjusted according to reasoning feedback, and finally a more accurate and stable knowledge graph completion result is output. According to the method, the controllability, interpretability and training stability of the reasoning process can be enhanced while the knowledge graph completion precision is improved.

The invention provides a double-way buffering mechanism design method for Web services. Two buffering mechanisms based on dynamic pages and static pages perform double-way reading and writing through a database and an xml buffering file, synchronous operation is performed to trigger updated buffering mechanisms, an xml buffering module is used as a using library when a user accesses, a database in an application system is used as a standby library, and reading and writing operations of data are finished in the xml buffering file; and the design content comprises a management process, a reading process and a write-in process of a double-way buffering mechanism. The double-way buffering mechanism design method has the advantages that by means of the dynamic and static combined double-way buffering mechanism, timeliness and accuracy of a system in mass data processing can be improved to a large extent, and performances and service qualities of a Web server are improved.

The invention discloses a knowledge question-answering method and system based on a large language model and a semantic abstract. The system comprises a tree structure abstract generation subsystem which comprises a knowledge base configuration module, a file management module, a document analysis module and a knowledge block management module and is used for automatically generating tree structure hierarchical knowledge blocks for large manual documents or multi-chapter manual documents; the dual-channel retrieval engine subsystem comprises a question rewriting module, a semantic abstract retrieval module, a detail knowledge block retrieval module, a father-son retrieval module and a prompt word construction module, and all the modules work cooperatively to ensure that semantic abstract knowledge blocks and detail knowledge blocks related to the question of the user are retrieved. According to the method, by introducing the semantic abstract based on the tree structure and the two-channel retrieval, perception of global knowledge and accurate extraction of local fine-grained knowledge can be achieved at the same time, and then the ability of a knowledge base question-answering system in processing the general and inductive problems is improved.

The invention discloses a molten steel element content on-line detection system based on a laser-induced breakdown spectroscopy technology, and relates to the technical field of molten steel element content on-line detection, the molten steel element content on-line detection system comprises an excitation system, an acquisition system, a data preprocessing module and a component detection module; the excitation system is used for emitting laser to the molten steel surface to generate plasma; the acquisition system is used for collecting signal light radiated by the plasma; the data preprocessing module is used for carrying out baseline correction and noise reduction processing on the collected original spectral signals; and the component detection module comprises an element content prediction model based on a gating specific expert attention network LSEA-Net and is used for carrying out quantitative analysis on the preprocessed spectral data to obtain the element content of the molten steel. The technology has the advantages that sample preparation is not needed, online rapid analysis and multi-element synchronous detection are achieved, and the technology is suitable for the high-temperature environment and the like, and the requirement of a steelmaking site for real-time component detection is met very well.

The invention relates to a fiber-reinforced aerogel composite material containing a carbon and titanium dioxide biphase hybrid opacifying agent as well as a preparation method and application of the fiber-reinforced aerogel composite material. The fiber reinforced aerogel composite material containing the carbon and titanium dioxide dual-phase hybrid opacifying agent comprises an inorganic aerogel matrix, wherein a reinforced fiber skeleton and the carbon / titanium dioxide dual-phase hybrid opacifying agent are dispersed in the inorganic aerogel matrix; the carbon / titanium dioxide biphase hybrid opacifying agent comprises a titanium dioxide shell layer and carbon / titanium dioxide core-shell structure particles, wherein the surface of a reinforced fiber skeleton is coated with the titanium dioxide shell layer in situ; gaps of the reinforced fiber skeleton are filled with the carbon / titanium dioxide core-shell structure particles. The problem to be solved is to construct a two-phase hybrid shading system in which carbon / titanium dioxide core-shell particles and a titanium dioxide coating layer on the fiber surface are combined through one-step in-situ synthesis, so that the heat insulation capacity of the composite material in a high-temperature environment is synergistically improved.

The invention discloses a distinguishing table type X-ray spectrometer and an X-ray absorption spectrum testing method, and relates to the technical field of spectral measurement. The high-resolution table type X-ray spectrometer comprises a sample signal source which is located in a Dowland circle and is used for generating X-rays; the exponential crystal is a bent crystal, the surface shape of the exponential crystal is defined by an exponential equation, so that different points on the curved surface of the crystal have different curvature radiuses and correspond to Rowland circles with different radiuses, each point on the exponential crystal is tangent to the corresponding Rowland circle, and the exponential crystal is used for performing monochromatization and focusing on the X-ray incident from the sample signal source; and the detector is positioned on a surface formed by the corresponding imaging points on each Rowland circle, and is used for receiving the X-rays which are monochromatized and focused by the index crystal and outputting corresponding light intensity signals. Therefore, through the cooperation of the index crystal and the multi-Rowland circle structure, the X-ray absorption spectrum test with high light receiving efficiency, high spectral resolution and wide energy spectrum range can be realized, and the comprehensive performance of the desk type spectrometer is improved.

The invention belongs to the technical field of flexible transparent film electrodes, and particularly relates to a flexible indium tin oxide film electrode, a preparation method and a flexible solar cell. According to the flexible indium tin oxide thin film electrode provided by the invention, after the processes of pre-treating substrates such as PET, covering an acrylic resin hard coating, depositing a SiO2 transition layer and the like, the adhesive force of the indium tin oxide conductive thin film is improved through the indium tin oxide conductive thin film deposited through alternate radio frequency magnetron sputtering and direct current pulse magnetron sputtering; the bottom layer deposited by radio frequency magnetron sputtering is used for providing an interface seed layer for the fluorine-doped indium tin oxide conductive thin film layer deposited by direct current pulse magnetron sputtering and having high carrier concentration and low resistance, and the top layer is used for providing protection, so that the conductivity, environmental stability and other properties of the flexible indium tin oxide thin film electrode are improved; the conductive performance is not easy to attenuate, the long-term use stability is good, and the technical problem that in the prior art, a flexible transparent film electrode is low in performance is solved.

The invention relates to the technical field of information communication, and discloses a 5G network slice resource scheduling method for a power distribution network, and the method comprises the steps: firstly collecting the geographic coordinates and priority labels of a service request, carrying out the regional division of a service based on the coordinates, and determining the cluster center of each region; then combining the priorities and the areas to which the requests belong, carrying out hierarchical sorting on all the requests to generate a global scheduling sequence; for each request in the sequence, calculating a path distance to each network resource node according to the coordinate of the request and the cluster center, and selecting a shortest path node as a target resource node; and finally, allocating resource quotas from the resource pool of the target node in sequence. According to the 5G network slice resource scheduling method provided by the invention, the resource matching accuracy and locality are effectively improved, the service transmission delay is reduced, the network flow space distribution is optimized, and the more efficient and reliable bearing of the power distribution network service is realized.

The invention provides a red envelope grabbing method, system and device in a high-concurrency scene and a storage medium, and the method comprises the steps: receiving a red envelope creation request, synchronously deducting the account fund of a sender, pre-distributing the amount by using a double mean value algorithm, generating an amount list, and storing the list, an inventory counter and a user deduplication set into Redis. And when a grabbing request is received, executing Redis Lua script atomization operation: verifying user de-duplication, checking red envelope inventory, deducting the inventory after the red envelope inventory passes, popping up money from a list, and recording grabbing information. If the script is executed successfully, judging that grabbing succeeds, generating a success message to a message queue, and asynchronously updating the balance of the receiver and recording a flow by the consumer. And a grading reconciliation mechanism is adopted to ensure that the robbing record is consistent with the fund flow. And after the red envelope is sent for a preset time, scanning the unscrambled amount and returning the unscrambled amount to the sender account. According to the invention, a high-performance, high-reliability, safe and flexible red envelope grabbing system can be constructed.

The invention discloses a forming method of a flash memory unit. The forming method comprises the following steps: providing a semiconductor substrate; forming a tunneling oxide layer on the semiconductor substrate; forming nanocrystalline silicon particles on the tunneling oxide layer; forming an isolation insulating layer on the tunneling oxide layer and the nanocrystalline silicon particles; and forming a control grid on the isolation insulating layer, wherein the step of forming the nanocrystalline silicon particles on the tunneling oxide layer comprises: forming an amorphous silicon layer on the tunneling oxide layer; and performing repeated seed crystal particle forming processes on the amorphous silicon layer, wherein surface annealing treatment is performed between two adjacent seed crystal particle forming processes, and an annealing process is performed after the last seed crystal particle forming process. The flash memory unit can be used for storing a large quantity of electrons, and has high performance.

The invention relates to the technical field of PCIe (Peripheral Component Interconnect Express), in particular to a PCIe dynamic degradation type link resetting method and system. Comprising the following steps: S1, continuously reading the LTSSM state of a PCIe link, recording the duration of an abnormal state, and when the duration exceeds a preset threshold value, judging that timeout abnormity exists; s2, after the abnormal early warning is received, a dynamic degradation reset instruction for the NVMe controller is initiated; s3, the state machine control unit takes over the reset link initialization process and follows the physical layer priority gt; the link layer is preferentially gt; a priority strategy is simplified by a transaction layer, and a centralized resource guide link rapidly completes training and enters an L0 state. Compared with the prior art, the method has strict protocol compliance, the reset efficiency is improved, and the overall stability and performance of the system are optimized.

The invention relates to the technical field of slope disaster monitoring, in particular to a high and steep slope geological disaster monitoring method and system based on multi-source data fusion. The method comprises the following steps: tracking surface deformation through PS-InSAR time sequence analysis and atmospheric phase correction to obtain surface deformation characteristics; identifying the apparent diseases of the slope, and extracting spatial and temporal distribution characteristics of the apparent diseases of the slope; analyzing spatio-temporal evolution characteristics under geologic structure constraints by utilizing slope rock mass structure characteristics and the earth surface deformation characteristics; according to underground water level dynamic and potential sliding surface weakening features and the slope apparent disease spatial and temporal distribution features, extracting disaster-causing key factor features after cooperative correction; and combining the disaster-causing key factor characteristics, the true three-dimensional geological environment background characteristics and the spatio-temporal evolution characteristics to analyze the comprehensive early warning grade and the potential instability mode of the landslide. Scientific support is provided for high and steep slope geological disaster prevention and control, and engineering construction and operation safety can be guaranteed.

The invention discloses a wireless network data reliability transmission system, which is used in the technical field of data transmission and comprises a slave gateway deployment and data aggregation module. A scheduling protocol and priority management module; a hierarchical caching and breakpoint resuming module; and a trend prediction optimization decision module. According to the invention, in combination with priority-based scheduling, link quality evaluation, data caching and retransmission mechanisms, reliable transmission of data with different priorities in a wireless network can be ensured, and normal transmission can be recovered through an efficient data recovery mechanism when the network is unstable; through real-time environment state estimation and prediction, communication parameters and resource scheduling can be dynamically optimized, network performance is effectively improved, and communication delay is reduced. The hidden state of a communication environment is estimated in real time through comprehensive analysis of link quality, event records and cache state data, future hidden state changes are predicted through a time sequence convolutional network, and potential performance degradation risks are recognized in advance.

The invention relates to a federated learning-based magnetocardiogram analysis method, device and equipment and a medium, and relates to the technical field of magnetocardiogram analysis, and the method comprises the following steps: aiming at a preset arrhythmia analysis task, configuring a corresponding independent task head on a frozen shared feature backbone network, and caching a corresponding reference logic value; and configuring a corresponding new task head for the new task, and inserting a low-rank adapter module into the frozen shared feature backbone network so as to perform joint optimization on the inserted low-rank adapter module, the new task head and the independent task head, updating parameters of the low-rank adapter module, parameters of the new task head and parameters of the independent task head, according to the method, the limitation of a data island is broken through, data resources of multiple centers are integrated, massive unlabeled data can be fully mined, the model feature extraction capability is improved, the situation that new and old data are used for retraining the model is avoided, and the safety of the federal continuous learning model is improved. And the old category diagnosis capability is ensured.

The invention relates to a structured light illumination confocal super-resolution measurement system and method, and relates to the technical field of optical measurement. The system comprises a digital micromirror device (DMD), a sample platform, an electric displacement platform, a microscopic imaging assembly, a complementary metal oxide semiconductor (CMOS) imaging assembly and computer equipment, and the DMD is used for adjusting the point light source array and the structured light field. According to the DMD-based confocal super-resolution measurement method, a structured light field and a signal-noise separation technology are combined, and high-precision and high-resolution three-dimensional surface reconstruction can be realized. By using the flexibility of the DMD and the advantages of the super-resolution technology, the spatial resolution and speed of confocal imaging are effectively improved, so that the measurement process is more accurate. In addition, low-rank decomposition and self-supervised deep learning methods are fused, the image reconstruction process is optimized, noise interference is suppressed, and the overall performance of the system is further improved.

The application discloses a kind of full solid-state battery and its preparation method and application, it is related to solid-state battery technical field.The edge of positive active layer is attached with solidified insulating glue, so as to use the solidified insulating glue to fill the size difference between the positive active layer and the negative active layer, and the end of the positive active layer and the negative active layer is flush, the insulating glue plays a supporting role under extrusion, avoids the problems such as collapse and short circuit caused by the size difference between the positive active layer and the negative active layer;The insulating glue at the edge can be bonded with the negative electrode under high pressure, and when the positive electrode is charged and discharged, the cycle performance difference caused by the volume change of the positive electrode during charging and discharging can be effectively alleviated, and the cycle of the battery is improved;It can also effectively avoid the occurrence of problems such as the edge of the positive electrode dropping material.By setting electrolyte film between the positive active layer and the negative active layer, the impedance between the electrolyte film and the electrode sheet is reduced by using the ionic liquid treatment layer on the electrolyte film, and the battery performance is improved.

The invention discloses a preparation method of a foamed thermal-insulation ceramic decorative plate in the technical field of building decorative materials. The method comprises the following steps: carrying out ball milling, spray drying, granulating and ageing on raw materials such as ceramic waste and kaolin; mixing and dispersing the aerogel-hydrogel gradient core-shell structure composite modified material and ceramic particles, and sieving to obtain composite powder; compounding sodium bicarbonate and azodicarbonamide with a foaming agent, mixing the foaming agent with the composite powder, and adding a surfactant and a dispersing agent to adjust the viscosity so as to prepare expandable ceramic slurry; the slurry is injected into a mold and coated with low-temperature glaze, and stepped heating sintering is conducted through a tunnel kiln and comprises the steps of preheating glue discharging, primary foaming, secondary sintering, gradient cooling and the like. The thermal insulation performance, the mechanical strength, the weather resistance and the decoration performance are synergistically improved, and the product is low in heat conductivity coefficient, high in compressive strength, excellent in ultraviolet aging resistance, firm in decoration layer combination and suitable for building outer walls and other scenes.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The invention relates to the technical field of intelligent manufacturing and industrial internet of things, in particular to an intelligent real-time production line regulation and control system and method based on digital twinning, and the system comprises a state sensing and collection module which is used for obtaining the real-time operation parameters of production equipment, material flow state information and environment disturbance characteristics of a production line; the digital twin modeling module is used for fusing multi-source data, constructing accurate mapping of a production line physical entity and a virtual model through a twin model driven by dynamic data, and predicting a performance degradation trend and a disturbance propagation path of production line equipment in real time; the intelligent decision-making module is used for generating a production line real-time scheduling strategy through a distributed collaborative reinforcement learning algorithm and outputting a production line regulation and control instruction set; and the real-time regulation and control feedback module executes production line regulation and control actions through a multi-target dynamic balance algorithm and automatically generates a production line production optimization report with equipment health degree compensation. Therefore, the problems of static model construction, lagging of a decision mechanism, lack of regulation and control feedback and the like in the prior art are solved.

The utility model discloses a material conveying mechanism for laser welding. The material conveying mechanism comprises an adjusting clamp set, a driving motor and a conveying assembly. The adjusting clamp set comprises a fixed seat, a guide seat, a first clamping flap and a second clamping flap, and the guide seat is in sliding connection with the clamping flaps through guide pins and used for driving the clamping flaps to be opened and closed and adjusting the clamping distance; the driving motor comprises a driving motor body and a lead screw, the lead screw is sleeved with the guide base through a screw hole, and automatic adjustment of the clamping structure is achieved; the conveying assembly comprises peristaltic petals installed at the ends of the clamping petals and eccentric wheels, the eccentric wheels are driven by the output shaft sleeve to rotate, and materials are clamped and conveyed in a peristaltic mode. The mechanism can realize self-adaptive clamping and stable propelling of welding materials with different specifications, has the advantages of compact structure, stable transmission, high universality and the like, and is suitable for material precision conveying requirements in automatic laser welding equipment.

The invention relates to an Internet of Vehicles computing power scheduling method based on a graph neural network and deep reinforcement learning, and the method comprises the steps: S1, collecting the state information of network entities in the Internet of Vehicles and the association information between the entities in real time, and constructing a dynamic time-space attribute graph; s2, inputting the dynamic space-time attribute graph into a pre-trained graph neural network encoder, and outputting a node embedding feature set containing a high-order topological relation and global graph embedding features through multi-layer message passing and feature aggregation; s3, the node embedding feature set and / or the global graph embedding feature are / is used as the state of a deep reinforcement learning agent and input to a strategy network, the computing power scheduling action at the current moment is output, and the computing power scheduling action comprises the steps of assigning an unloading target node for a to-be-processed computing task and distributing corresponding computing and communication resources; s4, dispatching actions are distributed to the corresponding network entities to be executed, environment feedback is collected and used for model updating and next round of dispatching, and the method has the advantages of improving dispatching efficiency, adaptability and system energy efficiency and the like.

The invention discloses a multi-energy complementary power distribution control method, belongs to the technical field of electric power system control, and aims to solve the problems that an existing multi-energy system control method based on periodic instruction issuing is heavy in communication burden, response lags when sudden disturbance is dealt with in two scheduling intervals, and the power distribution efficiency is poor. And the operation economy and the dynamic stability are difficult to consider at the same time. The method comprises the steps that an upper-layer optimization controller generates virtual impedance potential field function parameters and key topological characteristics and issues the virtual impedance potential field function parameters and the key topological characteristics to a local controller; the local controller executes power control based on the potential field gradient and monitors the topological position of the operation point; when a topology crossing event is detected, an asynchronous event triggering signal is sent upwards, and an upper-layer controller is triggered to carry out aperiodic re-planning. According to the method, decoupling of economic optimization and dynamic control is realized, the robustness and the adaptive capacity of the system under disturbance are improved, meanwhile, the communication burden is reduced, and the method is suitable for a system containing a large amount of distributed energy.

The invention provides a composite connection method for thick titanium alloy plates, and belongs to the technical field of metal material welding and additive manufacturing. According to the technical scheme, the method comprises the steps that symmetrical X-shaped grooves are machined in thick plate titanium alloy workpieces to be connected; a laser-electric arc hybrid welding system is adopted for conducting double-face bottoming welding on the X-shaped groove, so that a double-face bottoming welding seam is formed; and a powder feeding type laser cladding system is adopted, and multi-layer and multi-channel additive filling is conducted in the X-shaped groove above the double-face bottoming welding seam. According to the method, efficient laser-electric arc composite bottoming and low-heat-input laser cladding additive filling are separated, high-quality penetration of the root is guaranteed firstly, then welding deformation and residual stress are remarkably reduced through low-heat-input filling, the microstructure of a filling area is optimized, and therefore a welded joint with excellent comprehensive performance is obtained.

The invention is suitable for the technical field of vehicle dynamics modeling and control, and provides a preview active suspension stiffness control method based on road surface grading and MAP mapping, and the method comprises the steps: collecting a road image through a vehicle-mounted visual sensor, dividing regions, and recognizing the road surface unevenness grade of each region through a convolutional neural network; obtaining the vehicle speed; and according to the current pavement grade and the vehicle speed, a vehicle speed-pavement grade-rigidity mapping MAP table generated in advance is inquired, and the target suspension rigidity is rapidly obtained and adjusted. According to the invention, the dependence on a high-precision sensor and a high-computing-power processor is reduced, and low-cost and fast-response rigidity optimization control of the preview active suspension is realized.

The invention discloses a method for preparing a C / C-SiC composite material through multi-stage recovery of carbon / carbon composite material processing waste, and belongs to the technical field of C / C composite material preparation. The method comprises the following steps: carrying out multi-stage screening treatment on the carbon / carbon composite material processing waste, and screening and separating short carbon fibers and pyrolytic carbon powder; mixing the screened short carbon fibers and pyrolytic carbon powder with phenolic resin, industrial silicon powder and SiC powder, and preparing a fiber reinforced resin block in a mold pressing manner; and carrying out one-step continuous carbonization and ceramic heat treatment on the fiber reinforced resin block to finally obtain the C / C-SiC composite material. According to the method, high-added-value recycling of the C / C processing waste is achieved, the process is simple, the cost is low, operation is convenient and fast, the problems of resource waste and environmental pollution caused by existing waste treatment are solved, and the prepared C / C-SiC composite material is excellent in performance and can be widely applied to the fields of aerospace, high-end manufacturing and the like.