14results about How to "Reduce build time" patented technology

The application relates to the technical field of network resource management and the technical field of reinforcement learning, and discloses a spectrum decision method, device and equipment based on a double-graph structure and reconstruction cost, which comprises the following steps: inputting original state data of low-altitude intelligent networking into an actor network of a reinforcement learning architecture, generating a predicted spectrum decision scheme of the low-altitude intelligent networking through the actor network, and obtaining an expected reward value output by a critic network based on the original state data and the predicted spectrum decision scheme; determining a trained actor network based on the expected reward value and an actual reward value; and generating a target spectrum decision scheme of the low-altitude intelligent networking based on a current double-graph structure and the trained actor network. The application can improve the generation efficiency of the target spectrum decision scheme of the low-altitude intelligent networking.

This application discloses a low-altitude defense platform deployment system and method. The system includes: a data acquisition module for acquiring relevant data of the defense area and information on available platforms; a capability quantification module for uniformly quantifying the capability parameters of each platform to obtain standardized capability descriptions; an AI agent search module, comprising multiple parallel-working AI agents and a shared memory area; each AI agent iteratively executes the generation of candidate deployment schemes, calculation of constraint violations, and evaluation of comprehensive performance scores, and updates the locally optimal deployment scheme based on the evaluation results, exchanging scheme information through the shared memory area to guide subsequent searches; and a scheme determination module for determining the globally optimal deployment scheme when termination conditions are met. This application improves the comprehensive protection effectiveness and planning efficiency of heterogeneous defense platform deployment schemes through capability quantification and multi-agent parallel collaborative search, achieving automated global optimization deployment under complex constraints.

This application relates to the field of multimodal technology, and discloses a method, apparatus, device, and storage medium for point cloud generation based on multimodal information. The method includes: generating a first loss of a point cloud generator based on a first predicted point cloud set, a first real point cloud set, and a first loss model; generating a second loss of the point cloud generator based on a second predicted point cloud set, a second real point cloud set, and a second loss model; generating a third loss of the point cloud generator based on a third predicted point cloud set, a third real point cloud set, and a third loss model; generating a total loss based on the first loss, second loss, third loss, and a total loss function; and generating a complete point cloud of the object to be completed based on a cross-fusion module, a seed generator, and an updated point cloud generator when the total loss meets preset conditions. This application can take into account the overall outline, main structure, and local details of the object to be completed, which is beneficial to improving the generation effect of the complete point cloud of the object to be completed.

This invention relates to the field of container loading optimization technology, and particularly to a container loading optimization method and system considering palletizing. The method includes setting container information, palletizing constraints, and cargo information; generating available pallet sizes and corresponding stack shapes; eliminating stack shapes with bottom coverage below a threshold; using the selected stack shapes to form transverse pallets that meet preset requirements; establishing a mathematical model and solving it using integer programming to obtain an initial loading scheme; performing mixed pallet loading on the remaining container space and remaining cargo, ensuring that the mixed pallet loading meets the requirements of full pallet coverage and full support; generating the mixed pallet loading result and a three-dimensional visualization model. This invention incorporates the entire palletizing-related calculation process into the optimization algorithm to solve the technical problems of cumbersome, inefficient, inaccurate, poor space utilization, and high labor costs in existing container loading calculation processes.

This application relates to the fields of power distribution network technology and deep learning technology. It discloses a method, apparatus, and device for generating power distribution network topology diagrams based on temporally explicit networks. The method includes: a power distribution network automation system generating an adjacency list for the current time; dividing multiple nodes in the adjacency list into multiple regions, selecting the bus node of each region as the traversal start node for each region, creating a corresponding worker thread for each region, and performing a breadth-first search traversal operation on each region starting from the traversal start node to obtain a connection tree for each region; merging the connection trees of each region to generate the connection tree of the power distribution network; converting the connection tree of the power distribution network into a topology matrix of the power distribution network; inputting the topology matrix of the power distribution network into a drawing tool; and having the drawing tool generate the topology diagram of the power distribution network at the current time. This application is beneficial for improving the efficiency of topology diagram generation.

This application provides an adjustable disc-lock scaffold horizontal bar and a method for erecting the scaffold, relating to the field of construction scaffolding. It includes poles, comprising a first pole, a second pole, and a third pole. Two first extension plates are fixed to one end of the second pole, which slides into the first pole through the first extension plates. A second extension plate is fixed to one end of the third pole, which slides into the second pole through the second extension plate and extends into the first pole. Connecting fasteners are located at both ends of the poles. A synchronous mechanism includes two pulleys rotatably mounted on the first extension plates, a belt, and connecting members fixed to the upper and lower sides of the belt. The connecting member on one side of the belt is fixedly connected to the first pole, and the connecting member on the other side of the belt is fixedly connected to the second extension plate. A locking mechanism is used to lock the third pole onto the second pole. This application reduces reliance on customized poles and improves construction efficiency.

The invention discloses a generative AI-assisted material data template design method and system, and relates to the technical field of material data management and generative artificial intelligence. The method comprises the following steps: receiving uploaded multi-source heterogeneous original material data, and carrying out decoding and decompression verification to generate a structured file storage path; analyzing the original material data, preliminarily deducing the data type, and generating a formatted intermediate file; generating an initial type mapping table by using a dynamic type discrimination mechanism based on a data scale; inputting the initial type mapping table and a target database template example into a generative AI engine, generating an initial JSON template, and performing man-machine collaborative optimization; and performing multi-dimensional verification on the optimized JSON template, storing the template which passes the verification, and outputting a standardized semantic data entity which can be correctly analyzed by the target database. According to the method, automatic analysis, semantic mapping and interactive optimization of the multi-source heterogeneous material data can be realized.

This application discloses a connection node used in the construction of a reinforced concrete structure for a heating network well chamber, belonging to the technical field of connection nodes in building engineering. To address the problem of connecting the large-sized precast steel cage to the well chamber base in existing large-scale heating network well chamber construction, this application embeds a pre-embedded part in the well chamber base and uses this pre-embedded part to replace the traditional connecting steel bars of the well chamber base as the connection part with the precast steel cage. Simultaneously, the steel bar connection part is used to fix the precast steel cage to the well chamber base. This design optimizes the connection between the steel bars in the traditional precast steel cage and connecting steel bars into a connection between the pre-embedded part and the steel bar connection part, and optimizes the traditional regional steel bar connection into a point connection of multiple load-bearing points. This design greatly reduces the workload of fixing the precast steel cage to the well chamber base and also reduces the connection difficulty. This application is mainly used as a connection node in the construction of a reinforced concrete structure for a heating network well chamber.

This invention relates to a dynamic optimization decision-making model for the mining sequence of polymetallic symbiotic ore bodies, comprising an edge layer, a cloud platform, and a control terminal. The edge layer, cloud platform, and control terminal interact through dedicated interfaces, achieving a closed-loop process from data acquisition, processing, decision-making, to execution. The edge layer acquires ore body data in real time via a multi-source sensor network, preprocesses it through an edge computing terminal, and then uploads it to the cloud platform. The cloud platform uses a dynamic geological model engine to construct a real-time 3D ore body model and generates a Pareto optimal mining scheme that comprehensively considers economic, environmental, and safety factors through a multi-objective optimization engine. The control terminal uses a digital twin console to visualize the scheme and allow for manual intervention, while the equipment control system automatically executes mining commands. The model supports hourly dynamic updates, significantly improving resource recovery rate and decision-making efficiency, reducing environmental costs and mining risks, and achieving efficient, intelligent, and green mining of polymetallic symbiotic ore bodies.

This utility model discloses a quick assembly and disassembly device for a green sculpture display stand. It comprises two main support frames arranged symmetrically. Multiple support beams are inserted and installed on each main support frame, and each support beam is equipped with a decorative rod, on which a green sculpture pot is inserted and installed. This utility model achieves quick assembly and disassembly through the insertion structure between the main support frame, support beams, decorative rods, and green sculpture pots, and the cooperation of the first and second insertion blocks with their corresponding insertion slots. Compared to traditional display stands fixed with bolts and nuts, this significantly shortens the assembly and disassembly time, reduces labor costs, and effectively solves the problems of inconvenient assembly, adjustment, and disassembly of existing green sculpture display stands. It has high practical value and significant potential for widespread application.

The present application relates to the technical field of intelligent control of water plants, and discloses a sewage treatment carbon source intelligent dosing method, which comprises the following steps: constructing a sewage treatment biochemical simulation model, and performing static initialization and dynamic optimization based on historical data; in the first control stage, the model is used to perform dosing control, measured data and calculated data are accumulated and screened as a training data set, and an AI model is constructed; in the second control stage, i.e. mechanism and AI fusion, after model self-checking, intermediate state parameters representing microstate are generated; the intermediate state parameters are input into the AI model to obtain instructions, drive the carbon source dosing unit to perform dosing, and perform stepwise feedback regulation according to the effluent water quality. The present application uses an AI model to replace the cyclic iteration trial calculation of a mechanism model, shortens the calculation time, ensures that AI prediction conforms to the biochemical reaction rule through the microstate parameters provided by the mechanism model, and combines a feedback regulation mechanism to realize precise, rapid and stable dosing of the carbon source.

This utility model relates to the field of agricultural greenhouse technology and discloses a modular blueberry seedling greenhouse frame structure, including a fixed rod, a connecting rod, and an arched support. A vertical cone is fixedly connected to the bottom of the fixed rod, and a connecting component is installed at the top of the fixed rod. A fixed component is installed at the top of the connecting rod. The connecting component includes an mounting block, which is fixedly connected to the top of the fixed rod. A sliding groove is formed in the middle of the mounting block. A housing is fixedly connected to the bottom of the connecting rod, and a locking post is fixedly connected inside the housing. The locking post engages with the sliding groove. In this utility model, the fixed rod and connecting rod are installed through the engagement of the locking post and the sliding groove, making the connection more stable and less prone to loosening. It enables quick and flexible connection and disassembly, improves assembly efficiency, shortens greenhouse construction time, and allows for rapid deployment.

The application discloses a signal loop adjusting method and device, electronic equipment and a storage medium, relates to the chip technical field, and the method is applied to an estimation module of a resolver digital converter and comprises the following steps: acquiring a first initial angle according to sine output signals and cosine output signals of a resolver; acquiring a first initial angular velocity according to at least two first initial angles and a sampling frequency of an analog-to-digital converter; sending the first initial angle to a digital control oscillator and sending the first initial angular velocity to a loop filter, so that the signal loop of the resolver digital converter performs a phase synchronization operation based on the first initial angle and the first initial angular velocity. The technical scheme of the embodiment of the application reduces the construction time of the closed loop of the resolver digital converter, improves the response speed of the feedback control system in the resolver digital converter, and further improves the decoding efficiency of the resolver digital converter.

This application provides a nearest neighbor graph construction method, apparatus, storage medium, and computer device. The nearest neighbor graph construction method provided in this application can achieve efficient GPU parallelization of the entire process of k-NN graph construction and pruning without sacrificing index quality, significantly improving throughput and convergence speed in large-scale high-dimensional scenarios, and providing a high-performance, scalable, and highly versatile underlying graph index construction foundation for approximate nearest neighbor search systems.