996results about How to "Improve usability" patented technology

The invention discloses a user track privacy protection method and system fusing a generative model and three-stage personalized differential privacy, and relates to the technical field of data security, and the method comprises the steps: obtaining real user track data, and carrying out the preprocessing of the real user track data to form standardized track representation; training a depth generation model to generate synthetic trajectory data; performing density clustering on the synthetic trajectory to obtain a feature region and calculating a region centroid; point-level privacy budgets are distributed according to three stages of the area proportion, the centroid distance and the global density; constructing an adaptive elliptical disturbance domain based on the regional covariance, sampling candidate confusion points in the disturbance domain and applying road feasibility screening; and calculating a score based on the privacy budget and the utility function, and sampling replacement points by adopting an index mechanism to output a privacy protection trajectory. According to the technical scheme, the track structure continuity and the road semantic consistency are remarkably improved under the condition that the differential privacy constraint is met, and the privacy intensity and the data availability are both considered.

The invention discloses a key value storage system indexing method oriented to an NVM-NVMe SSD (Non-Volatile Memory-Non-Volatile Memory Express Solid State Disk) hybrid architecture, which comprises the following steps of: constructing a heterogeneous storage architecture taking cold and hot data perception as a core driving mechanism, coordinating and managing two types of storage media, namely a non-volatile memory NVM and a solid state disk NVMe SSD, and realizing efficient identification, layered writing and dynamic migration of cold and hot data. According to the method, the characteristics of low delay, durability and byte addressing of the NVM are utilized, the frequency and I / O overhead of Flush and Compaction operations are reduced in a data write-in path, meanwhile, the problem of mixed storage of cold and hot data is avoided, and therefore the overall performance and storage efficiency of a system are remarkably improved. In addition, by introducing an asynchronous migration module, the method can dynamically adapt to the change of data popularity along with time evolution, and effectively support high performance and high availability of the key value system in long-term operation.

The invention relates to the technical field of intelligent ship control, and particularly discloses an area control integration method and system based on an intelligent ship engine room, original operation data and multi-source communication data of equipment in each area of the engine room are collected, a unified real-time state vector is generated through protocol analysis and standardization processing, and a plurality of redundant processing nodes are processed in a unified mode. Synchronizing and verifying state data through a high-speed channel, constructing a global consistent state synchronization set, disassembling composite logic into atomic operation units with state constraints according to an upper-layer instruction and the synchronization set, packaging the atomic operation units into a private instruction sequence bound with the state, executing the instruction sequence by a main node, and executing the state synchronization set by a slave node; seamless switching to a standby node is realized through independent hardware monitoring when a fault occurs, and the standby node continuously executes based on the continuity of a state synchronization set, so that high-reliability uninterrupted operation of area control is realized; according to the method, the problems of instruction semantic distortion and single-point fault risk in heterogeneous equipment integration are solved, and the control accuracy and the intelligent level are improved.

The invention discloses a time sequence generation method and system based on uncertainty quantization and frequency domain constraint, and belongs to the technical field of artificial intelligence and data mining. Outputting a mean value of the completion value and a variance representing the uncertainty of the completion result; an entropy weight adaptive mask generation mechanism is constructed, a soft mask matrix of continuous values is generated according to variance and local observation density, and high uncertainty corresponds to low mask weight; constructing a mixed loss function containing time domain weighted loss and frequency domain consistency loss; and training a diffusion model based on the soft mask matrix and a mixed loss function to generate a regularized high-fidelity time sequence. According to the method, the Bayesian uncertainty quantization and soft mask mechanism is introduced, so that the problems that a binary mask mechanism in the prior art is rigid and cannot sense completion errors are solved, and meanwhile, the periodic characteristics of generated data are ensured in combination with frequency domain constraints.

The invention relates to the field of mobile data communication services, in particular to a subway rail transit underground space emergency communication system and an arrangement method thereof. The subway rail transit underground space emergency communication system provided by the invention comprises a first communication link used for transmitting service data in a first state; the second communication link is used for transmitting service data in a second state; the communication link monitoring module is in signal connection with the first communication link and is used for monitoring the signal-to-noise ratio of data transmission in the first communication link; and the communication link switching module is in signal connection with the communication link monitoring module, is respectively in signal connection with the first communication link and the second communication link, and is used for switching the data transmission path from the first communication link to the second communication link according to the signal-to-noise ratio of data transmission in the first communication link. According to the invention, through double-link redundancy and rapid switching, automatic switching to a standby link is realized under abnormal conditions such as optical fiber faults or power interruption, and continuous and uninterrupted communication is ensured.

The invention discloses an industrial intelligent safety risk early warning and management and control platform, and relates to the technical field of industrial safety monitoring and management and control. The industrial intelligent security risk early warning and management and control platform comprises a full-scene perception layer, a data management layer, an intelligent risk identification layer, a hierarchical management and control layer and a global operation and maintenance layer, and each layer and an edge computing node construct a distributed data interaction network through an industrial Ethernet; the scene sensing layer is used for realizing all-region and all-time security data acquisition of industrial production and comprises a multi-mode sensing terminal array, an equipment protocol adaptation module, a personnel state monitoring unit and an acquisition scheduling module; according to the industrial intelligent safety risk early warning and management and control platform, through a multi-mode terminal array and a dynamic acquisition scheduling mechanism of a full-scene sensing layer, full-area and full-time-period automatic monitoring of industrial production is realized, dependence on manual inspection is thoroughly eliminated, the problems of low manual inspection efficiency and missing inspection of hidden risk points are effectively solved, and the industrial production safety risk early warning and management and control platform is suitable for popularization and application. And the monitoring coverage rate is improved to 100%.

The invention relates to the technical field of virtual reality interaction, and particularly discloses a multi-modal fused virtual exhibition hall immersive interaction system, which comprises the following steps of: acquiring real-time multi-modal interaction data of a user and performing synchronous preprocessing; inputting the orientation semantic words into an interval type-2 fuzzy logic system to generate a three-dimensional space semantic membership field; according to the gesture pointing vector and the hand shaking amplitude, a pointing conical area is constructed, two-dimensional Gaussian distribution is established in a layered mode, and a gesture pointing probability field is generated; taking a semantic membership field, a gesture pointing probability field and a gaze point Gaussian kernel density field as independent evidences, introducing a wall boundary and a floor channel as spatial topology constraints, and fusing by adopting an evidence theory combination rule to generate a three-dimensional intention probability distribution field; carrying out gravity center defuzzification processing on the distribution field to extract a navigation target area, and planning a navigation path by taking the current position of the user as a starting point and taking a nearest floor channel entrance as a passing point; according to the method, the problems of multi-mode fuzzy intention understanding and space adaptation are solved.

The invention relates to a distribution network maintenance topology identification system based on multi-source data fusion, and the system achieves the effective integration and precise processing of multi-source power distribution network data through the cooperative work of a multi-source data collection module, a data preprocessing module and a measurement generation module, and remarkably improves the temporal-spatial resolution of the state quantity of a distribution network. According to the method, a confidence evaluation system is constructed, and an algorithm confidence evaluation system is used for carrying out confidence scoring on an output identification structure, so that the uncertainty of an identification result can be quantified, and the availability and reliability of the system in an actual complex environment are greatly improved; through seamless connection and data interaction between a database and a marketing system and a scheduling system, the applicability and effectiveness of the system in an actual maintenance scene are ensured, accurate and reliable topology identification support can be provided for power distribution network maintenance, and the maintenance efficiency and the power supply reliability are improved; the method has the advantages of being high in self-adaption, accurate and reliable.

The invention provides a fine configuration method and system based on a strategy mode, and the method comprises the steps: defining themes used for abstracting entrance traffic, order distribution and other events through a configuration system, and configuring a basic data source and a data processing rule for each theme, wherein the data processing rule supports a user to carry out code development implementation in a basic class of each service line according to service requirements; the system automatically stores theme data to middleware, matches a corresponding theme through a strategy mode after receiving a user request, performs secondary data processing according to a configuration rule and returns a result; the technical effects of flexible configuration mode, quasi-real-time index calculation, support of multi-source data access, high-concurrency scene adaptation and good expansibility in flow fine management are realized, and the service operation demand change can be quickly responded.

The invention relates to the technical field of solid state disks, in particular to a solid state disk ID and hardware state synchronization method, a controller, a system and a medium. Comprising the following steps: S1, before a system enters a dormant state, acquiring and persistently storing initial identification information of NVMe equipment by a driving layer; s2, after the system is awakened from the dormant state, executing multiple rounds of identifier query operation on the NVMe equipment; s3, calculating an identifier change rate based on a multi-round query result and the initial identifier information, and if the identifier change rate is lower than a first preset threshold value, judging that the interference is temporary interference, and maintaining an equipment link; if the identifier change rate is higher than a first preset threshold value, entering a step S4; and S4, acquiring real-time state parameters of the physical layer of the NVMe equipment, verifying the real-time state parameters, recovering the link if the real-time state parameters pass the verification, and resetting the NVMe equipment if the real-time state parameters do not pass the verification. Compared with the prior art, through state analysis, cross validation and joint judgment, the misjudgment rate caused by instantaneous change of the ID of the equipment is remarkably reduced.

The invention relates to the technical field of artificial intelligence, and discloses a code generation method and device, computer equipment and a storage medium in the fields of financial science and technology and medical health. The method comprises the following steps: performing semantic analysis on a code generation request to obtain a request semantic tag and a request keyword, and performing text embedding processing on the code generation request to obtain a request conversion vector; searching at least one candidate code node matched with the request semantic tag from a preset code knowledge graph; screening all the candidate code nodes according to the request conversion vector to obtain a reference code node; performing node expansion processing on all the reference code nodes according to the request keyword to obtain context nodes; determining target prompt information according to the code generation request, the reference code node and the context node; and inputting the target prompt information into a preset large language model to obtain a target code. According to the method, the semantic alignment degree and the code quality are improved, and the availability of the generated code is ensured.

The invention belongs to the technical field of communication, and particularly relates to a router system service exception self-healing method based on cloud AI, which comprises the following steps: deploying an exception detection module at a router end, collecting system logs and state data in real time and generating a standardized exception report; uploading the report to a cloud AI server through an encrypted MQTT protocol; the cloud calls a hybrid analysis model composed of a rule matching engine, a machine learning classifier and a reinforcement learning decision network to generate a self-healing strategy instruction packet; the router end receives and executes the strategy, completes service restart, configuration rollback or hotfix loading and other operations, and verifies the self-healing effect; when communication interruption exceeds a threshold value, an embedded loopback self-healing subsystem is automatically activated, and abnormity is independently handled based on a local strategy library. According to the technical scheme, millisecond-level abnormal response and high-success-rate autonomous recovery can be achieved, the network availability and the service continuity are remarkably improved, and the disaster recovery self-healing capacity is still achieved when the cloud end is disconnected.

The invention relates to the technical field of clinical medical treatment, and discloses a disease deterioration risk identification method and system based on depth time sequence clustering enhancement, and the method comprises the steps: 1, obtaining multi-modal clinical sequence data of a patient, including physiological indexes of a time sequence, a laboratory detection result, historical diseases and medication data; 2, performing feature extraction and classification on the patient sequences by adopting a knowledge enhanced sequence clustering method, and grouping the patient sequences according to future outcome distribution of the patient sequences; 3, enabling the model to quickly adapt to a prediction task of a new patient subgroup through a meta-training process; and step 4, based on the trained meta-model, carrying out rapid adaptation on the new patient subtype, and predicting the possibility that the new patient subtype has a deterioration event in a certain time window in the future. The method and the system can effectively learn the disease change mode of the patient under the condition of limited clinical data, improve the prediction accuracy of the new patient subgroup, and are especially suitable for clinical prediction scenes under the condition of small samples.

The invention belongs to the technical field of production testing in the manufacturing industry, and particularly discloses a production testing system and method based on the manufacturing industry, a terminal and a medium, and the system comprises a back-end service layer which is in communication connection with a front-end service layer for information interaction, dividing the business logic of the production test into a plurality of business modules which can be independently managed through a module registration mechanism; the equipment interaction layer comprises an equipment driving interface, at least one equipment driving plug-in and an equipment communication unit; and the system integration layer is used for carrying out information exchange with a manufacturing execution type service system through a standardized data interaction mode so as to obtain and send the production test data. Test data is aligned with a manufacturing execution type business system through a standardized data interaction mode, connection between a production test link and manufacturing process management is realized, and the overall cooperative capability of a production line is improved.

The invention provides a vehicle early warning method, a vehicle and electronic equipment, and the method comprises the steps: determining the cognitive state information of a driver according to a head image sequence of the driver of the vehicle; based on the environment image sequence of the environment where the vehicle is located, risk field information in the environment is determined, and the risk field information comprises dynamic blind area information and predicted trajectory information of a risk target corresponding to the dynamic blind area information; according to the cognitive state information and the risk field information, a collaborative risk value is determined through a preset space-time attention fusion model, and the collaborative risk value represents the collision risk of the vehicle affected by the cognitive state of the driver and the risk target; and executing a corresponding early warning operation according to the collaborative risk value. According to the method, the real risk existing due to the unknown driver can be accurately quantified, so that the driving safety can be remarkably improved.

The invention is applicable to the technical field of artificial intelligence, and provides a large-model multi-agent-based method for automatically generating a complex-structure document, which comprises the following steps of: mapping an original structured document template into a compressed structure mark sequence with a reserved layout, and performing zero-sample semantic understanding and planning through a structure planning agent to obtain a complex-structure document; generating an atomic operation execution plan; according to the semantic logic relationship among the atomic operations in the structured execution plan, constructing a field-dependent directed acyclic graph, carrying out topological sorting on the field-dependent directed acyclic graph, and determining an execution sequence of content generation; through collaborative iteration of the content generation agent and the symbol verification agent, each field content is generated under the condition that a hard constraint condition is met; and finally synthesizing a complete document. According to the method, accurate understanding, reliable generation and format guarantee of the complex document under the zero sample condition are realized.

The invention discloses a Linux-oriented vulnerability repair verification method and system and a medium. The method comprises the steps of creating a test application form for a CVE vulnerability patch in a task management system, preparing a test environment for CVE vulnerability repair verification as well as a required test table, a software source and a test strategy file, and calling a tool interface to automatically trigger an assembly line; the assembly line executes the test suite in the test environment based on the test table, the software source and the test strategy file and collects an execution state, and if the execution state is failure, automatic retry can be carried out on the CVE vulnerability based on manual triggering; and finally, generating a report file, writing a verification result for the test application form in the task management system, and if the verification result is that verification is passed, issuing a service pack of the CVE vulnerability. The invention aims to realize efficient, traceable and extensible Linux vulnerability repair verification, realize full automation and intelligence of the vulnerability verification process, and improve the accuracy, traceability and expandability of verification.

The invention discloses a micro-seismic outrange waveform reconstruction method based on multi-station joint calibration, and the method comprises the steps: firstly obtaining outrange sections and outrange stations corresponding to different micro-seismic events of each station, and then for the same micro-seismic event, selecting a station which does not generate outrange saturation as a reference station, and carrying out the calibration of the outrange waveform. Carrying out time alignment on a seismic phase time window of the reference station and a corresponding time period of the outrange station, and then calculating an equivalent attenuation coefficient corresponding to the micro-seismic event by adopting a multi-station joint inversion mode, so as to avoid the use of missing data; and finally, mapping the complete waveform amplitude of the reference station in the outrange section to the outrange station by using the equivalent attenuation coefficient to realize the real waveform amplitude of the outrange station in the outrange section, so that each station can obtain continuous microseismic waveforms in different microseismic events. Through the method, the physical consistency and availability of the outrange micro-seismic waveform are improved, and a reliable data basis is provided for micro-seismic energy evaluation, risk analysis and a subsequent intelligent early warning model.

The utility model discloses a container special for polygonum multiflorum seedling culture, and relates to the technical field of polygonum multiflorum seedling culture. The container special for polygonum multiflorum seedling raising comprises a seedling raising box, a dismounting and mounting mechanism and a seedling taking mechanism, the dismounting and mounting mechanism is arranged in the seedling raising box and comprises a bearing plate and rectangular frames, multiple sets of rectangular openings are formed in the top of the bearing plate, and the rectangular frames are fixedly installed on the inner walls of the rectangular openings respectively; the seedling taking mechanism is arranged in the seedling raising box and comprises fixed plates, movable rods and an ejector plate, the inner walls of the front side and the rear side of the rectangular frame are fixedly connected with the front sides and the rear sides of the fixed plates respectively, and the interiors of the fixed plates are slidably connected with the outer walls of the movable rods respectively. According to the transplanting device for the polygonum multiflorum seedlings, the polygonum multiflorum seedlings and the matrix can be rapidly ejected out of the rectangular frame through the ejection plate, so that the roots of the seedlings are protected by enough original matrix, the polygonum multiflorum seedlings are prevented from being damaged as much as possible, the operation difficulty of workers is reduced, and the survival rate of the transplanted polygonum multiflorum is improved.

This invention relates to a method and system for gyroscope attitude estimation and error compensation based on SO(3) complementary filtering. The method includes: establishing an attitude estimation model on the SO(3) group, representing the carrier attitude as an estimated rotation matrix satisfying orthogonal constraints, and designing a cost function that includes accelerometer and magnetometer information; collecting sensor data from the inertial measurement unit; calculating the corrected angular velocity based on the cost function and the current sensor measurement values, and converting the sensor measurement deviation into a correction amount on the SO(3) group using vector cross product operation; using the corrected angular velocity to estimate and update the gyroscope zero bias online, and performing real-time tracking and compensation for gyroscope drift; performing matrix exponential mapping operation on the compensated angular velocity using the Rodrigues formula to achieve incremental updates of the rotation matrix while maintaining SO(3) manifold constraints; and outputting the estimated attitude information and gyroscope zero bias. This invention improves numerical stability and computational accuracy.

The application relates to the field of data security and key management, and particularly relates to a key management method, a trusted execution environment node, a device and a storage medium. In view of the problems of weak use binding, high exposure risk of cross-domain flow and insufficient isolation and availability in a distributed scene caused by key dependence on external distribution and software policy constraints in the prior art, a root key seed is generated in a secure memory in the trusted execution environment node, a root key bound to an instance is derived in combination with a hardware fingerprint of the target instance, and a corresponding working key is derived according to the specific key use of a business application, which is used for performing encryption, decryption, signature or signature verification on business data. The scheme makes key generation, instance association and use constraints complete in the node, can reduce key external transmission and exposure, enhance the isolation between different business instances and the controllability of key use, and improve the key security and business stability in a high-security distributed environment.

The application provides a quality improvement method and system for hysteroscopic surgery image data, and relates to the technical field of image processing. The method comprises the following steps: acquiring a hysteroscope image of a target patient at a specific time point, and acquiring multi-modal physiological time series data of the target patient before and after the specific time point; performing time series feature fusion analysis on the multi-modal physiological time series data to obtain individual physiological cycle phase information corresponding to the specific time point; inputting the individual physiological cycle phase information into a pre-trained healthy uterine cavity image generation intelligent agent to output a standard healthy uterine cavity reference image corresponding to the specific time point; comparing the hysteroscope image with the standard healthy uterine cavity reference image, generating a pathological residual feature map, and enhancing the display of the pathological residual feature map. The technical problem that abnormal features are not prominent in the existing hysteroscope image is solved.

The present application belongs to the technical field of material corrosion data processing and industrial equipment state monitoring, and provides a kind of multi-source feature extraction and structured expression method of air conditioner heat exchanger corrosion data, specifically comprising the following steps: obtaining multi-source corrosion original data;Data preprocessing;Corrosion morphology feature extraction;Electrochemical feature extraction;Environmental influence feature extraction;Feature normalization processing;Structured feature vector construction;Form a structured feature vector with fixed dimension, unified expression. Each component in the feature vector corresponds to a corrosion-related parameter with clear physical meaning, completely describing the corrosion state, corrosion kinetics characteristics and service environment conditions of the heat exchanger under specific space-time conditions. Advantage: significantly improve the usability of data, provide an ideal data interface for multi-modal data fusion analysis and large model technology application, significantly improve the objectivity and reliability of the analysis results, have strong engineering practical value.

This invention belongs to the field of nuclear magnetic resonance technology and discloses a compact superconducting coil heat transfer structure and a liquid helium-free superconducting magnet. The compact superconducting coil heat transfer structure, applied to a liquid helium-free superconducting magnet, includes a tubular superconducting coil winding frame. A flattened superconducting coil assembly is wound around the outer surface of the superconducting coil winding frame via grooves. A heat transfer plate is provided on the outer side of the superconducting coil winding frame, and an end-face heat-conducting plate is provided at each end of the superconducting coil winding frame. Each end of the heat transfer plate is connected to the corresponding end-face heat-conducting plate, and a heat transfer metal plate is connected to both end-face heat-conducting plates. The heat transfer metal plate is in contact with the superconducting coil assembly to form a closed heat transfer loop. This invention has a compact overall structure and, through the heat transfer plates, significantly reduces the risk of excitation quench, improving the ease of use and stability of the equipment.

The invention discloses a charging and discharging overload protection management method based on an outdoor power supply, relates to the technical field of power supply overload protection management, and solves the technical problems of how to effectively distinguish instantaneous pulse overload from continuous overload and realize differentiated hierarchical collaborative protection. A dynamic buffering-intelligent derating-selective cutting-off three-level collaborative protection strategy is designed, for instantaneous overload, super capacitor buffering is preferentially adopted to pass through impact, for continuous overload, intelligent scheduling is carried out based on load priority and reducible weight of real-time power, derating is preferentially carried out, or non-core loads are cut off, and therefore the overload protection efficiency is improved. The differentiated and progressive protection mode ensures that the power supply of the load with the highest priority is guaranteed preferentially under any condition, the concept transformation from power supply protection to task guarantee is realized, and the system availability is improved by magnitude.

The utility model discloses a kind of tea stem and leaf separation screening devices, including box and mounting bracket, the sidewall of the box is equipped with electric cabinet, and the inside of electric cabinet is equipped with control panel, the inside of the box is provided with multiple groups of screening cavities, the upper portion of the box is equipped with mounting cover, and the upper portion of mounting cover is equipped with driving motor and multiple groups of right-angle frame, multiple groups of screening cavities and mounting cover are all penetrated by shaft pipe through bearing, the inside bottom surface of multiple groups of screening cavities is all fixedly penetrated by discharge hopper, and the discharge end of multiple groups of discharge hopper is all equipped with electric plug-in valve, the inside of the mounting bracket is provided with support plate, and the upper portion of support plate is inserted with multiple groups of first collection barrel and multiple groups of second collection barrel, the upper portion of multiple groups of right-angle frame is all fixedly penetrated by electric telescopic rod. Advantageous effects: the utility model is provided with screening cavity, through the screening cavity set, multiple tea leaves can be screened simultaneously, improve the work efficiency of tea stem and leaf separation screening device.

The application discloses a kind of digital culture intelligent resource library construction method and system, belong to digital cultural resource management technical field.The method includes: multi-source heterogeneous layered collection (six categories of resources are synchronously collected by multimodal terminal, high-precision detail capture), adaptive heterogeneous resource standardization processing (personalized algorithm, independent DCIR format), double-branch attention intelligent classification association (accurate classification, mining internal correlation), distributed encryption storage and intelligent indexing (safe and traceable, fast retrieval), dynamic self-optimization and intelligent updating (model incremental updating, resource real-time replenishment).The system, device and medium correspond to realize the above method.The present application completely avoids prior art, realizes the high-precision, intelligent, safe and dynamic construction of digital cultural resources, and improves the efficiency of resource protection and utilization.

The invention belongs to the technical field of aluminum melt refining, and particularly relates to an aluminum melt refining modification treatment device which comprises a degassing box, the degassing box comprises a box body, a liquid inlet pipe and a liquid outlet pipe, a partition plate is rotationally connected into the box body, and the partition plate divides the box body into two cavities used for controlling the flowing path of molten aluminum; the inner cavity of the box body is dynamically divided into two independent cavities through the partition plate capable of rotating in the box body, and the generator in any cavity is isolated and overhauled by combining valve control of the liquid inlet pipe and the liquid outlet pipe; when the generator in any cavity needs to be overhauled, molten aluminum in the cavity where the faulted generator is located can be emptied, and the other cavity continues to conduct refining operation; the whole-line shutdown maintenance is changed into local and online maintenance, the shutdown time and energy waste caused by maintenance are reduced, oxidation and residual loss of molten aluminum are remarkably reduced, and the equipment utilization rate and the production economy are improved.

This invention belongs to the field of hard carbon technology, specifically relating to a bamboo-based and lignin-based hard carbon composite material, its preparation method, and its applications. The process involves pretreating raw materials to obtain pretreated material; pretreating the pretreated material with an acidic oxidant to obtain acidic oxidant pretreated material; pre-oxidizing the acidic oxidant pretreated material to obtain pre-oxidized material; pre-carbonizing the pre-oxidized material under a protective atmosphere to obtain pre-carbonized material; pulverizing the pre-carbonized material to obtain pulverized material; acid washing followed by water washing to obtain purified material; soaking the purified material in acid, filtering, and drying to obtain soaked material; mixing the soaked material with a modifier, and high-temperature coating and carbonizing under a protective atmosphere to obtain bamboo-based coated hard carbon or lignin-based coated hard carbon. Mixing the two types of hard carbon and carbon coating yields a bamboo-based and lignin-based hard carbon composite material, which is used in negative electrode sheets and batteries. When applied to batteries, the hard carbon composite material of this invention can improve battery energy density.

This utility model belongs to the field of shared power bank technology, specifically relating to a voice-interactive shared power bank. The shared power bank's outer shell incorporates interactive and fixing components, integrating intelligent interaction and convenient charging. The interactive components include a waterdrop screen, a voice interaction module, and a network module, enabling voice-guided rental and cabinet location via a cloud database. The waterdrop screen, combined with a recessed button, supports reading during power outages. A wireless charging coil and magnetic plate provide magnetic fast charging for easy operation. The fixing component adopts an L-shaped structure, using a combination of T-slots, silicone strips, and rotating blocks to securely hold the phone when the user moves. The outer shell has a speaker hole and charging port on the side, an input interface on the bottom, and anti-collision pads on opposite sides to cushion impacts, enhance stability, and ensure the device's safety and durability.