16results about How to "Solve performance deficiencies" patented technology

The invention discloses a long-tail target detection and fine-grained large model pre-training method based on dynamic heavy balance comparative learning, and the method comprises the following steps: firstly, on an unbalanced data set, strengthening the sampling of tail samples through a dynamic heavy balance strategy, and constructing a preliminary sampling data set; thirdly, training the preliminary sampling data set by adopting a global-local contrast learning mechanism; and finally, constructing a pre-training model for long-tail target detection and large-scale fine-grained image feature learning. According to the invention, through global-local contrast learning, a dynamic weight balance strategy and a dual reconstruction mechanism, the fine-grained feature representation capability of the model in the image is improved, and the performance of the model in long-tail object detection, especially the detection performance of tail samples, is significantly improved.

The invention relates to the technical field of floating type offshore photovoltaic structures, in particular to a barrel type anchoring foundation of a floating type offshore photovoltaic structure and an installation method of the barrel type anchoring foundation. The multiple auxiliary suction barrels are arranged around a traditional single main suction barrel, the main suction barrel and the multiple auxiliary suction barrels are rigidly connected through the rails, and therefore the overall bearing performance of the foundation is improved. Damping pieces are arranged on the outer wall faces of the main suction barrel and the auxiliary suction barrel, energy brought by wind wave flow loads and earthquake loads can be effectively dissipated, and the overall anti-seismic performance of the foundation is improved. The main suction bucket and the auxiliary suction buckets are connected through the rails, the buckling resistance of the anchoring foundation can be improved, and therefore the overall bearing performance of the anchoring foundation is improved. According to the scheme, the problem that a traditional anchoring foundation is insufficient in performance can be solved.

The invention relates to the technical field of automobile part structures, in particular to a front suspension hub motor wheel edge integrated structure, an assembling method and an automobile. Comprising a rim, a hub motor, a front suspension and a brake, and the rim is of a hollow annular structure; the hub motor is located on the inner side of the rim and comprises an outer rotor shell fixed to the end, away from the vehicle body, of the rim and a stator shell arranged on the outer rotor shell. One end, close to a vehicle body, of the stator shell is positioned on the axial inner side of a rim; the front suspension comprises a steering knuckle fixedly connected with the end, close to a vehicle body, of the stator shell. The brake comprises brake calipers fixedly connected with the steering knuckle and a brake disc connected with the end, close to a vehicle body, of the outer rotor shell. According to the front suspension hub motor wheel edge integration structure, the hub motor is completely integrated in the rim, enough assembly space is reserved for the wheel edge, arrangement of a front suspension and a pipeline is facilitated, meanwhile, a plurality of connectors are reserved, and assembly of the front suspension and the pipeline is greatly facilitated.

The invention relates to the technical field of vehicles, and discloses a cross-platform vehicle machine function classification and adaptation optimization method and system, and the method comprises the steps: obtaining screen hardware parameters of different vehicle types, mapping the screen hardware parameters to the same vector space for clustering, and dividing a vehicle machine into n2 discrete screen hardware levels; aiming at each screen hardware level, designing a corresponding vehicle machine function classification scheme, collecting use behavior data of different users on vehicle machine functions, generating user preference portraits, and generating a personalized function recommendation list in combination with the vehicle machine function classification schemes; for a to-be-adapted target vehicle machine, determining a screen hardware level of the to-be-adapted target vehicle machine, calling a corresponding vehicle machine function classification scheme and a personalized function recommendation list, and adaptively generating a vehicle machine function list conforming to vehicle type characteristics corresponding to the target vehicle machine; according to the invention, the personalized in-vehicle function list can be automatically adaptively generated according to the in-vehicle hardware capability and the user preference, so that the practicability of the in-vehicle function and the user experience are improved.

The utility model relates to the technical field of boiler use condition monitoring, and discloses a boiler use condition matched monitoring system which comprises a centralized control unit, a steam pocket monitoring unit and a hearth monitoring unit. The centralized control unit, the steam drum monitoring unit and the hearth monitoring unit work cooperatively, and comprehensive monitoring of the use condition of the boiler is achieved. And through a display of the centralized control unit, a worker can check the working states of the steam pocket and the hearth in real time and adjust operation parameters in time, so that safe and stable operation of the boiler is ensured. The boiler use condition matching monitoring system has a comprehensive monitoring function, a clear image capturing capability and stable working environment adaptability, effectively solves the problems of technical lag and insufficient performance of the existing boiler monitoring system, improves the safe and stable operation level of the boiler, reduces the overhaul and maintenance cost, and improves the working efficiency of the boiler. The working efficiency is improved, the labor intensity is reduced, and important practical value and wide application prospect are achieved.

This application provides an adaptive industrial production line anomaly detection method, system, equipment, and medium for process stages. The method acquires the current process stage of the production line, along with its execution sequence, elapsed runtime, remaining runtime, and multi-source heterogeneous data. It then determines a first set of anomaly detection models and a first pre-configured weight combination for these models. The method determines the operating state of the current process stage. If the current process stage is in a stable state, an anomaly score is assigned. If the current process stage is in a transitional state, the anomaly score is determined. If the anomaly score exceeds a dynamic scoring threshold, the inference conditions are matched with pre-built process diagnostic rules or fault trees to determine the cause of the anomaly in the current process stage. This application enables dynamic switching of the detection model combination with the process stage, ensuring the continuity and stability of detection during the transition phase.

The application discloses application of plasma neurofilament light chain protein combined with ceramide in auxiliary diagnosis of multiple system atrophy and identification of Parkinson's disease, and relates to the field of biomedical technology.The biomarker combination is plasma neurofilament light chain protein and ceramide; the ceramide includes Cer 16, Cer 18, Cer 24:0, Cer 24:1, Cer 16 / Cer 24:0, Cer 18 / Cer 24:0 and Cer 24:1 / Cer 24:0.The application solves the problems of insufficient efficiency and complicated operation of a single biomarker in identification of MSA and PD and HC by determining the concentrations of NfL and specific ceramide in plasma and substituting into specific logistic regression calculation formula, significantly improves the diagnostic accuracy of MSA and HC and MSA and PD, and has clinical popularization value.

The utility model discloses a kind of quasi-zero stiffness vibration isolator based on gap elastic limiting and connecting rod coupling, belong to the technical field of vibration isolator.The quasi-zero stiffness vibration isolator includes: connecting rod mechanism, linear spring restraint component, vibration isolation plate and mounting base;Connecting rod mechanism is four equal-length connecting rods;Linear spring restraint component includes connecting spring, support spring and limit spring;Bar piece AB, AC, A'B', A'C' are connected by hinged joint connection;AA' two ends are connected by the connecting spring of horizontal placement;CC' two ends are fixed on mounting base, BB' two ends are fixedly hinged on vibration isolation plate;BC, B'C' end are connected by vertical support spring;Limit spring EF E end is fixed on mounting base, F end and the inside surface of vibration isolation plate interval preset distance.Vibration isolator realizes low force transfer rate and displacement transfer rate under low-frequency excitation, connecting rod mechanism adjusts the negative stiffness of system, limit spring provides positive stiffness compensation when large displacement, expands vibration isolation bandwidth, and enhances the adaptability and stability of vibration isolator.

The present invention discloses a visualized blockchain data storage method and system, which relates to the field of data storage processing. The technical scheme thereof includes: a data acquisition module is used to deploy a lightweight proxy node in each blockchain, and use multi-threading to collect original data on different nodes in parallel; a data storage module uses an automated storage expansion mechanism to design a hierarchical storage architecture, establishes an abstract data model, maps original data of different blockchains into a unified framework, and obtains original data with a unified format; a data integration processing module aggregates the stored original data, obtains an aggregation group, analyzes the correlation between different aggregation groups, and constructs a three-dimensional map of data relations; a visualization display module is used to enable a user to interact with the data stored in the blockchain, takes the three-dimensional map of data relations as the underlying architecture, increases the multi-level visualization of data by the user, provides a user-friendly interface, and realizes visualized storage of blockchain data.

The invention discloses a dressing plant energy configuration method based on a multi-objective optimization algorithm. The method comprises the following steps: constructing a dressing plant multi-level composite load model and a solar energy resource model; an optimal equipment capacity configuration function is constructed from three aspects of economy, environmental protection and reliability; setting constraint conditions such as power supply reliability, site area and green electricity proportion; and solving the multi-objective optimization problem by adopting an NSGA-II algorithm to obtain the optimal capacity ratio of the diesel generator, the photovoltaic system and the energy storage system. According to the method, load characteristics are accurately depicted through multi-level load modeling, collaborative optimization of multiple conflict targets is achieved in combination with triple target functions, actual production constraints are considered at the same time, and feasibility and practicability of the scheme are ensured. The method does not need to depend on communication facilities, is low in cost and high in reliability, can remarkably reduce the electricity utilization cost and carbon emission of the dressing plant, improves the power supply reliability, and provides a scientific solution for energy transformation of the isolated network dressing plant.

The utility model belongs to the technical field of ultraviolet-proof films, and particularly relates to an ultraviolet-proof film which comprises an outermost layer, the outermost layer is a structural layer formed by compounding polytetrafluoroethylene and nano silicon dioxide, an ultraviolet-proof layer is arranged on the inner side of the outermost layer, a gas barrier layer is arranged on the inner side of the ultraviolet-proof layer, and the gas barrier layer is arranged on the outer side of the outermost layer. The inner side of the gas barrier layer is provided with an electric conduction and heat conduction layer, and the inner side of the electric conduction and heat conduction layer is provided with a bonding affinity layer. According to the utility model, the outermost polytetrafluoroethylene and nano silicon dioxide composite material is anti-pollution and wear-resistant and protects the internal structure, the ultraviolet-proof layer effectively blocks ultraviolet rays and prevents articles from aging, the gas barrier layer can prevent gas such as oxygen from permeating and prolong the shelf life of the articles such as food, and the electric conduction and heat conduction layer can realize electric conduction and heat conduction so as to meet the requirements of electronic equipment; and the bonding affinity layer can firmly bond other materials, and multiple layers are cooperated, so that the film integrates multiple functions, the problem of insufficient comprehensive performance of the traditional film is solved, and the application range is expanded.

The invention relates to the technical field of automobile part structures, in particular to a rear suspension hub motor wheel edge integrated structure, an assembling method and an automobile. Comprising a rim, a hub motor, a rear suspension and a brake, and the rim is of a hollow annular structure; the hub motor is located on the inner side of the rim and comprises an outer rotor shell fixed to the end, away from the vehicle body, of the rim and a stator shell arranged on the outer rotor shell. One end, close to a vehicle body, of the stator shell is positioned on the axial inner side of a rim; the rear suspension comprises a joint head fixedly connected with the end, close to the vehicle body, of the stator shell. The brake comprises brake calipers fixedly connected with the joint head and a brake disc connected with one end, close to the automobile body, of the outer rotor shell. According to the rear suspension hub motor wheel edge integration structure, the hub motor is completely integrated in the rim, enough assembly space is reserved for the wheel edge, arrangement of a rear suspension and a pipeline is facilitated, meanwhile, a plurality of connectors are reserved, and assembly of the rear suspension and the pipeline is greatly facilitated.

This invention relates to the field of high-performance carbon composite materials, and more particularly to a high thermal conductivity pyrolytic graphite foam, its preparation method, and its applications. This invention constructs a "mesophase pitch-based carbon foam-carbon fiber cloth" sandwich composite structure by alternately layering mesophase pitch-based carbon foam and carbon fiber cloth, obtaining a high thermal conductivity pyrolytic graphite foam with high thermal conductivity, high anisotropy, high graphitization degree, and excellent mechanical properties. This solves the problem of insufficient performance of existing carbon foam materials and reveals its structure-property relationship, providing a new technical approach for the development and application of high-performance thermal management materials. It has significant scientific and application value for promoting the development of high-performance thermal management materials. The high thermal conductivity pyrolytic graphite foam provided by this invention combines high deposition uniformity, high multidimensional thermal conductivity, and excellent mechanical properties, and has broad application prospects in the fields of electronic device heat dissipation or aerospace thermal management.

The invention provides a preparation method of a rose gold coating of a high-speed steel cutter, which comprises the following steps: performing Ti ion etching on the surface of the high-speed steel cutter and synchronously depositing a Ti layer by adopting a vacuum arc ion plating method, then introducing N2 and C2H2 gas to perform combination reaction with Ti ions to form rose gold ions and deposit a Ti (C, N) layer on the Ti layer, and finally forming the rose gold coating. Comprising a Ti layer and a Ti (C, N) layer. The LAB values of the colors of the rose gold coating are L 61, a 13 and b 17, the thickness is 1-1.5 microns, the surface roughness is smaller than 50 nm, the hardness is 30-35 GPa, the adhesive force is larger than 60 N, and the rose gold coating has excellent wear resistance. The method solves the problems of low cost efficiency and insufficient performance of a gold-copper alloy coating, has the characteristics of high production efficiency, low process cost, stable coating performance, capability of achieving rose gold appearance quality and the like, is suitable for improving the core value and brand competitiveness of cutter products, and is relatively high in practicability and generalization performance.

The application is suitable for the network security technical field, and provides a network attack detection method, device, computer equipment and program product, the method comprises the following steps: obtaining network flow data to be detected; inputting the network flow data into a preset gating network to generate a routing weight value for selecting from multiple expert models; processing the network flow data by using one or more of the multiple expert models to generate an expert model processing result; wherein the multiple expert models are arranged in parallel and at least include: a first expert model configured to analyze time sequence characteristics of the network flow data; a second expert model configured to analyze space-time correlation characteristics of the network flow data; and fusing the expert model processing result based on the routing weight value to generate a network attack detection result. Thus, diversified network attacks can be efficiently and accurately identified.

The invention belongs to but not limited to the technical field of ceramic powder preparation, and particularly relates to zirconium oxide nano powder and a preparation method thereof. The preparation method comprises the following steps: mixing inorganic zirconium salt, inorganic yttrium salt and water to obtain a mixed solution A; mixing an inorganic alkaline precipitator with water and absolute ethyl alcohol according to a certain proportion to obtain a mixed solution B; slowly adding the obtained mixed solution drop A into the solution B, and carrying out precipitation reaction to obtain a precipitation solution; filtering and washing the obtained precipitation solution; dispersing the obtained precipitate in absolute ethyl alcohol, and carrying out stirring and ultrasonic dispersion until a colloidal solution is formed; carrying out spray drying on the obtained colloid to obtain precursor particles with uniform particle sizes; and carrying out low-temperature calcination on the obtained precursor particles to obtain the nano zirconium oxide powder. The method is simple and safe to operate and low in energy consumption, and can be used for preparing the high-purity superfine zirconium oxide powder with uniform particle size.