195 results about "Network construction" patented technology

This application discloses a method and apparatus for constructing a multi-scale adaptive gating MambaPlus network, belonging to the field of artificial intelligence and machine learning technology. The method includes: initializing the network configuration and constructing the basic structure; preprocessing the input data to generate a standard dataset; mapping the input data to the hidden space via an input mapping layer, and extracting backbone features from the Mamba backbone; constructing at least two parallel scale branches in the hidden space to obtain a multi-scale feature set; inputting the backbone features and multi-scale features into an adaptive gating module, dynamically allocating weights and adaptively fusing them through a hierarchical gating mechanism to generate fused features; further enhancing the features through cross-scale attention and feedforward enhancement, and then superimposing the residuals to generate the final discriminative features; finally, completing category prediction and model training evaluation. This application, while retaining the advantages of Mamba's long-range dependency modeling, addresses the problems of insufficient utilization of multi-scale information, poor adaptive feature fusion, and low robustness in complex scenarios.

This utility model relates to the technical field of earthmoving equipment, specifically disclosing an earthmoving device for excavation in tunnel sewage pipe network construction. It includes a first base and a second base connected by a horizontal conveyor belt. A drive unit for driving the horizontal conveyor belt is installed inside the first base. It also includes a conveyor box containing a lifting conveyor belt with its outlet located above the horizontal conveyor belt, used to transfer excavated soil onto the horizontal conveyor belt. The horizontal conveyor belt covers a linear construction area. The conveyor boxes are placed at the locations requiring soil transfer according to the construction area. Construction workers use shovels and other tools to transport the excavated soil into the conveyor box. The lifting conveyor belt inside the conveyor box transfers the soil onto the horizontal conveyor belt, which then transports the soil out of the tunnel, completing the work of transferring excavated soil from narrow tunnel construction. By using a directional horizontal conveyor belt for transfer, the efficiency of excavated soil transfer is higher.

The application discloses a kind of urban heat island network construction method based on multilevel thermal field recursive decomposition in the technical field of urban climate analysis, including obtaining seamless summer average ground surface temperature grid data of initial area, the multidimensional environmental driving factor data required for building thermal resistance surface;Based on mean-standard deviation threshold method, the continuous ground surface temperature field of the initial area is multilevel recursive decomposition, and the main level heat island source is identified, and the nested secondary heat island source is recursively identified inside the main level heat island source, and the hierarchical nested heat island network structure is constructed.The application realizes the accurate decomposition of multilevel heat island source by using mean, standard deviation threshold value for recursive calculation of continuous ground surface temperature field, can effectively identify cross-scale heat island connection pinch point and heat island connection barrier, can realize the hierarchical construction of urban heat island network, and is conducive to improving the management efficiency of urban heat island.

The application discloses a traditional Chinese medicine compound analysis method based on a multi-dimensional data and information weighted network, and belongs to the field of traditional Chinese medicine compound analysis. The method comprises the following steps: constructing a multi-dimensional disease gene set; acquiring a traditional Chinese medicine compound set and a target set; determining disease gene nodes, compound nodes and target nodes respectively, and constructing a heterogeneous correlation network; performing propagation node screening on the heterogeneous correlation network, and weighting the edge set of the heterogeneous correlation network; running three algorithms on the updated heterogeneous correlation network respectively, and performing equal-weight average fusion on the propagation results of the three algorithms to obtain a final weighted network correlation degree score; sorting the final weighted network correlation degree score from high to low to obtain a key target candidate list; and selecting the first N candidate targets in the key target candidate list for enrichment analysis. The application solves the problems of single data source, lack of functional semantic support in network construction, static node evaluation index, and disconnection between enrichment analysis and core algorithm in the prior art.

A neural network construction method and apparatus in the field of artificial intelligence, to accurately and efficiently construct a target neural network. The constructed target neural network has high output accuracy, may be further applied to different application scenarios, and has a strong generalization capability. The method includes: obtaining a start point network, where the start point network includes a plurality of serial subnets; performing at least one time of transformation on the start point network based on a preset first search space to obtain a serial network, where the first search space includes a range of parameters used for transforming the start point network; and if the serial network meets a preset condition, training the serial network by using a preset dataset to obtain a trained serial network; and if the trained serial network meets a termination condition, obtaining a target neural network based on the trained serial network.

The application provides a manhole anti-falling net installation construction management system and method, and relates to the technical field of municipal pipe network construction management.The application realizes real-time monitoring of a manhole construction object, collects facility number, spatial coordinates, pre-construction, in-construction and post-construction images and timestamp information, constructs a unique identifier of the construction object and generates a standardized information body;on this basis, the spatial consistency coefficient of the construction object, the construction process integrity coefficient and the construction result reliability coefficient are calculated respectively, and compared with the corresponding threshold value for evaluation;when the evaluation result is unqualified, the control strategies such as automatic repositioning, supplementary shooting and recording, rework or manual review are triggered, the abnormal data flow is suspended, and the update and recording are completed until the evaluation meets the standard.The method realizes spatial verification, process constraint and result quality control of the manhole anti-falling net construction process, and improves the construction authenticity, data reliability and management efficiency.

This invention provides a grid-connected energy storage system and a stable operation control method for offshore wind power off-grid operation. The system consists of multiple offshore wind turbines connected in parallel. Each turbine is connected to an AC collection submarine cable via a turbine-side DC / DC converter, a grid-side AC / DC converter, and then connected to the turbine-side AC bus via a grid-side transformer. The turbine-side AC bus transmits power to the AC grid through a flexible DC-DC transmission system, and also connects to an energy storage battery via a grid-connected energy storage converter. The flexible DC-DC transmission system includes an AC grid-side transformer, a turbine-side MMC converter station, an onshore MMC converter station, and a grid-side transformer. This invention combines an offshore wind power off-grid operation system with an energy storage system, utilizing the margin of the energy storage system to achieve grid-connected / off-grid switching for the offshore wind power system. The energy storage system smooths out power fluctuations caused by wind energy fluctuations, enabling off-grid operation of the system.

This invention relates to the field of adhesive technology, and discloses an environmentally friendly biomass-based underwater adhesive, its preparation method, and its applications. The adhesive is prepared by one-step melt copolymerization of three biomass raw materials: lipoic acid, caffeic acid, and cysteine. This system utilizes the ring-opening polymerization of lipoic acid to form a dynamic disulfide bond network providing cohesive force, the catechol groups of caffeic acid to provide various interfacial interactions with the substrate, and the thiol groups of cysteine ​​to simultaneously participate in network construction and inhibit catechol oxidation, thereby synergistically achieving high-strength and durable underwater adhesion. The adhesive achieves an underwater adhesion strength of up to 5.5 MPa on iron sheets, remains stable in various acid, alkali, and salt environments, and can be repeatedly recycled through hot melting. This invention uses entirely bio-based raw materials, employs a simple and non-toxic process, and is suitable for underwater remediation, marine engineering, and other fields.

This invention relates to a quantitative evaluation method for the control performance of grid-connected converters from a stability perspective, belonging to the field of power systems. First, based on a single-phase equivalent model of the grid-connected converter, the modulation voltage is solved. The necessary and sufficient conditions for the existence of real solutions are used to derive the power flow solution boundary, and the voltage over-limit boundary is established in conjunction with modulation ratio constraints, defining the theoretical operating domain of the converter. Based on the theoretical operating domain, a small-signal state-space model is established by combining the main circuit topology and the control system. By analyzing the pole distribution of the converter under different grid impedances, its actual stable operating domain is determined. Finally, by calculating the area ratio of the actual stable operating domain to the theoretical operating domain, a quantitative characterization of the converter's control performance under varying operating conditions is achieved. This method constructs the actual stable operating domain of the grid-connected converter and quantifies the control performance using the area coverage ratio index. This provides a quantitative theoretical benchmark for evaluating its robustness in weak grid environments and guiding parameter optimization design.

The application provides a TIN network construction method based on a spatial minimum spanning tree and a convex hull polygon, relates to the field of geographic information system data processing, and is used for solving the problems of low triangular network quality, topological errors and insufficient construction efficiency in the existing TIN construction method. In order to improve the construction quality of the TIN and maintain the global optimality, the spatial minimum spanning tree and the convex hull polygon of an input scattered point set are constructed in advance in the application, and then the two geometric structures are used as a framework to construct the TIN. In the growth process of the TIN, it is ensured that each generated triangle has excellent morphological characteristics (satisfying the "empty circumscribed circle" or "minimum angle maximization" condition) and topological correctness, and finally a high-quality irregular triangular network is constructed. Meanwhile, a "skip" mechanism of edges and points is provided, invalid traversal is avoided in the triangular network construction process, and the time efficiency of the algorithm is maximally improved.

This invention relates to the field of image recognition and discloses a method and system for monitoring aquatic environments based on image recognition. The method includes: data normalization of a multi-source image dataset to obtain a standardized image data sequence; feature deconstruction of the standardized image data sequence to obtain multi-scale feature data, and semantic category mapping to obtain environmental element identification result data; dynamic evolution analysis of the environmental element identification result data to obtain element-level spatiotemporal evolution trajectory data; network construction of the element-level spatiotemporal evolution trajectory data to obtain dynamic relationship graph data, and anomaly topology extraction of the dynamic relationship graph data to obtain environmental evolution feature data; dynamic risk assessment of the environmental evolution feature data to obtain comprehensive assessment data; and structured encapsulation of the comprehensive assessment data to obtain a comprehensive monitoring report. This invention can improve the monitoring efficiency of an image recognition-based aquatic environment monitoring method.

The application discloses a hybrid system network converter long-time domain prediction control and non-disturbance switching method, and belongs to the technical field of power system control. In view of the problems of poor dynamic performance of a hybrid system of a network construction / following network converter under high proportion of new energy grid connection and easy impact of mode switching, the method is as follows: a long-time domain model is constructed to predict current control, a traditional PI current inner ring is replaced, a dq coordinate system is discretized to model, double-step length prediction is compensated to delay, a Lagrange extrapolation is used to update a reference current, current tracking accuracy and harmonic suppression capability are improved; a non-disturbance switching strategy is designed, an alpha-beta coordinate system and a current control ring are unified, a switching angle is locked and an initial value of an integrator is synchronized, a reference voltage is dynamically adjusted to guarantee variable continuity; the two strategies are integrated into a hybrid framework, stable operation and smooth switching under strong / weak power grid and transition working conditions are realized. The application reduces grid-connected current total harmonic distortion rate to below 0.85%, has no voltage and current impact in switching, and has the advantages of enhancing power system stability and flexibility.

The application discloses a task intention driven data link network dynamic construction method, first extracts the key information of the task intention through knowledge extraction, constructs a task intention knowledge graph, perceives the state information of each node and reports to the management center to obtain the network state information, constructs a network state knowledge graph and a field professional knowledge graph, reasons the network topology configuration and the business message type corresponding to the task intention, determines the communication node type and the node communication demand according to the business message type, then determines the source node and the destination node of the business message transmission, and the data link network node connection relationship suitable for the current task intention, performs collaborative reasoning through the construction and fusion of the three graphs of the task intention, the network state and the field professional knowledge, converts the abstract task intention into specific network construction parameters, performs real-time solving by using an optimization algorithm, and improves the adaptive ability and task response speed of the on-demand construction of the data link network.

The application belongs to the field of functional adsorption materials, and specifically discloses a Fe-Ca co-crosslinked bimetallic ZIFs microsphere composite adsorbent, a preparation method and application thereof. The composite adsorbent is synthesized by a ball method through co-dropping of Fe-Ca multi-metal ions, and the dropping liquid containing bimetallic ZIFs is dropped into a solidification liquid containing Fe and Ca, and is quickly solidified and formed under the synergistic effect of ions, wherein Fe-Ca acts as a co-component to participate in the network construction of the microspheres, so as to promote the adsorbent to form a dense and multi-stage pore and enhance the stability of the skeleton. Finally, a Fe-Ca@bimetallic ZIFs microsphere composite material with stable structure is obtained. The preparation cost is low, the process conditions are mild, the problems of easy suspension, difficult settlement, high risk of secondary pollution and difficult recovery of the powder adsorbent are effectively overcome, the microsphere composite adsorbent has the characteristics of good formability, large specific surface area, easy separation and recovery, high adsorption capacity and good selectivity, can be used for efficient removal of organic pollutants in water bodies, and has good prospects for engineering and large-scale application.

The present application relates to the technical field of flexible power distribution and transformer expansion, and discloses a transformer multi-module expansion method and device based on active damping and double-sided aggregation network construction, which constructs a circuit mathematical model through acquisition of system electrical signals to provide a precise calculation basis for double-sided control and guarantee reliable execution of control logic. The high-voltage side uses a virtual synchronous generator network control containing active damping to generate a current reference and realize current aggregation control, which can accurately regulate power flow, avoid circulating current problems caused by traditional transformer parallel connection, and provide virtual inertia and damping support to improve the stability of the high-voltage side power grid. The low-voltage side generates a voltage reference through similar network construction control and completes voltage aggregation control, which can actively reshape the impedance characteristics of the low-voltage side port and effectively suppress system oscillation. The overall method can adapt to multiple operating modes, realize flexible expansion of transformer multi-modules, and take into account power regulation accuracy, system operation stability and equipment economy.

This invention provides a method for interconnection and monitoring of multi-warehouse logistics networks, relating to the field of multi-warehouse logistics network interconnection and monitoring technology. The method specifically includes the following steps: S1. Determining the warehouse scope; S2. Network construction within the scope; S3. Multi-scope network construction; S4. Monitoring system construction; S5. Security protection system construction; S6. System integration management. By dividing the network into forward warehouses and central warehouses, and using RS485 bus, 4G network, and VPN technology to build a stable and reliable network connection, combined with the MQTT protocol and various encryption technologies to ensure data transmission security and efficiency, and utilizing a public cloud IoT platform to achieve cross-warehouse data synchronization and unified management, supporting horizontal expansion and flexible deployment, the method also achieves functions such as batch device registration and real-time message reception through system integration management, improving the management efficiency and intelligence level of logistics warehouses, effectively solving the shortcomings of existing technologies, and enhancing the overall efficiency and monitoring effect of the logistics network.

The application discloses an industrial production anomaly monitoring system based on machine learning, comprising: a data acquisition and preprocessing module for acquiring image and sensor data and constructing a training data set; a knowledge graph construction module for establishing a graph and mapping it into semantic constraint features; an image segmentation network construction module for constructing a network output probability distribution graph based on Swin-Unet; a model training and anomaly mask generation module for designing a hybrid loss function to train a model and generate a mask; a time series feature modeling and state updating module for introducing a Bayesian adaptive factor to dynamically update a state transition matrix of an improved GMM-HMM model; a state evolution identification module for decoding an optimal state sequence to identify an evolution mode; and an anomaly final determination module for combining sensor data to check an output final determination result. The application improves anomaly identification precision and evolution trend early warning capability.

The application provides an adjustable power distribution method suitable for 6G non-orthogonal mobile communication, which comprises the following steps: setting a 6G non-orthogonal mobile communication environment and constraint conditions; according to the set environment and constraint conditions, establishing an optimization problem of maximum spectrum efficiency of a user group and an optimization problem of maximum energy efficiency of the user group and solving the optimization problems to obtain a maximum value of the spectrum efficiency and a maximum value of the energy efficiency; according to the maximum value of the spectrum efficiency and the maximum value of the energy efficiency, establishing an optimization problem of maximum comprehensive efficiency fairness of the user group and solving the optimization problem to obtain total transmission power and a power distribution coefficient of a terminal; and according to the total transmission power and the power distribution coefficient of the terminal, calculating power distributed to each terminal, a spectrum efficiency value, an energy efficiency value and a fairness measure value, and completing power distribution. The application has the advantages of clear structure, strong adaptability and autonomous execution, better meets the demand of 6G network construction and operation and maintenance and academic research, and has high practical value and popularization.

The application discloses a seabed reference point positioning method based on a system error influence mechanism, belongs to underwater positioning technology, and is used for seabed reference point positioning and comprising the following steps: constructing an observation equation of seabed reference point acoustic positioning; obtaining an observation value residual vector by adopting least square adjustment and extracting a residual vector direction system error; establishing a regression relationship between the residual vector direction system error and a corresponding angle of a side based on a local weighted regression method; calculating a solution vector direction system error by adopting the regression relationship; and substituting the obtained system error into the observation equation to perform system error compensation and high-precision seabed reference point positioning. The system error is obtained by the influence mechanism of the system error on a least square parameter solution, the positioning precision of the seabed reference point is significantly improved, and technical support can be provided for seabed reference network construction and maintenance, marine disaster monitoring, marine positioning services and the like.

The application provides a network construction and characterization target echo parameter estimation method, converts a target echo parameter estimation problem into a signal characteristic analysis problem, introduces a complex network theory, completes mapping of an echo signal time-frequency domain to a complex network, further converts an echo signal characteristic analysis problem into network construction and characterization, and improves estimation precision of a target echo parameter. Experimental results of the application show that the method disclosed by the application is an effective method for target echo parameter estimation, and the parameter estimation precision is higher.

This invention relates to the field of computer technology combining artificial intelligence and educational measurement. It provides an intelligent automated examination system for university courses, comprising an automated examination center unit, a hardware and network construction unit, a hardware and software operation coordination unit, a software interface unit, an anti-cheating unit, a question bank unit, a marking unit, and an intelligent question bank management and maintenance unit. The system achieves student information binding through two-factor authentication; it ensures fair and randomized question paper generation by controlling the overall difficulty of the exam paper with a target average difficulty and tolerance; and it generates question bank management results using point-to-two correlation coefficients and two-column correlation coefficients as core statistical indicators, combined with multi-dimensional indicators, and constructs a closed-loop update mechanism. This invention enables full traceability and auditability of the examination process, effectively solving industry pain points and is suitable for the construction of automated examination centers in universities and daily course assessments.

The application discloses a kind of based on wide temperature environment self-organizing adaptation's all-vanadium redox flow energy storage system, including all-vanadium redox flow battery module, multi-physical field perception network and all-temperature range self-organizing adaptation controller.Multiple physical field perception network obtains the data such as each valence state concentration of electrolyte, total vanadium concentration and the temperature field inside the stack by multi-source sensor in real time, and all-temperature range self-organizing adaptation controller integrates electrolyte state self-adaptive module and stack thermal field self-balancing module, electrolyte state self-adaptive module is based on physical information neural network Construction prediction model, according to the prediction result, actively adjust electrolyte temperature and circulating pump flow;Stack thermal field self-balancing module is accurately adjusted electrolyte flow distribution by the electrically controlled valve independently arranged in each branch flow channel, based on PID control algorithm, and realizes two-stage thermal management in combination with external liquid cooling system.The application can be stably operated under the wide temperature environment of-30~50 ℃, effectively eliminate local hot spots inside the stack, prolong the service life of system.

The application discloses a kind of micro-nano hydrophobic modified inorganic fluorosilicon outer wall coating and preparation method thereof, the micro-nano hydrophobic modified inorganic fluorosilicon outer wall coating includes silica sol 30-45%, aluminate solution 8-15%, fluorosilane modified micro-nano silicon dioxide dispersion liquid 5-12%, inorganic fluorosilicon crosslinking agent 2-6%, inorganic mineral pigment 5-15%, dispersing agent 0.3-0.8%, defoaming agent 0.1-0.3% by mass percentage, and the balance is water.The application can provide a kind of long-acting, high hydrophobic, strong adhesion and good decorative inorganic fluorosilicon outer wall coating by the technical means of silicon-aluminum ratio optimization, fluorosilane surface modified micro-nano silicon dioxide introduction, inorganic fluorosilicon crosslinking agent three-dimensional network construction etc..

This invention discloses an integrated communication system and method based on a next-generation private communication network. The system includes an access network unit, an internal core network unit, and a virtual switch, all deployed on the same hardware processing board and sharing the same operating system kernel. The access network unit establishes a connection with the external core network unit through a first communication interface to form an external communication link. The access network unit connects to the virtual switch through a pre-configured second communication interface, and the internal core network unit connects to the virtual switch through a pre-configured third communication interface. Data forwarding via the virtual switch forms an internal communication link between the access network unit and the internal core network unit. This communication system, firstly, reduces assembly costs and overall hardware costs by using a shared single board and kernel, improving the resource utilization of a single board and making network construction simpler and more efficient; secondly, the two links do not interfere with each other, ensuring the security of internal and external data transmission.