16results about How to "Solve the idle problem" patented technology

The invention discloses an underwater riprap foundation bed tamping method based on a sand compaction pile ship. The method comprises a sand compaction pile ship transformation process and a tamping and leveling process. When the flow of transforming the sand compaction pile ship is carried out, sand outlet guide doors at the lower ends of the three pile sinking sleeves on the sand compaction pile ship are cut off firstly; the lower ends of the three pile sinking sleeves are each connected with a bottom flange; the three tamping plate devices are connected to the bottom flanges of the three pile sinking sleeves in a one-to-one correspondence mode, and each tamping plate device comprises a tamping sinking pipe, a top flange, a tamping sinking bottom plate, an enclosure plate, a middle plate, a plurality of upper-layer stiffening plates and a plurality of lower-layer stiffening plates; when the tamping and leveling process is carried out, underwater riprap operation on the lowest layer of the foundation bed is carried out firstly, and then the transformed sand compaction pile ship is moved to a vibrating tamping position on the underwater riprap surface of the lowest layer of the foundation bed for tamping and leveling; and then the ship is moved to the next ship position for tamping and leveling of the next vibrating tamping position. The construction efficiency in the drop hammer tamping process of the underwater riprap foundation bed can be improved.

The invention provides a plant factory, the plant factory is arranged in a hydraulic tunnel, the plant factory comprises a first cultivation structure, and the first cultivation structure comprises a supporting frame and a plurality of first cultivation boxes arranged on the supporting frame at intervals in the vertical direction; the light supplementing structure is arranged on the supporting frame and used for supplementing light to the multiple first cultivation boxes; the second cultivation structure is arranged on the side wall of the hydraulic tunnel; and the ventilation system is arranged in the hydraulic tunnel. According to the technical scheme, the problem that the hydraulic tunnel is idle in the prior art is effectively solved.

The invention discloses a database storage method, which realizes high optimization of a storage space by finely classifying key value pairs and storing the key value pairs in different regions. The recovery frequency is dynamically adjusted, only the key value pairs marked as deleted are erased, storage fragments and the erasure frequency are reduced, the storage efficiency is improved, and the service life of storage equipment is prolonged. When the sectors are recycled, adjacent idle and invalid sectors are combined, so that the storage space utilization rate and the access efficiency are improved. When the new key value pairs are stored, the new key value pairs are preferentially distributed from the combined sector pool, the storage process is simplified, and the response speed is increased. The data access frequency and the sector erasure life are combined, the merged sectors are finely grouped, resource allocation is optimized, and the data access efficiency is improved. And meanwhile, a direct local modification technology is adopted, so that data migration and rewriting are reduced, and the updating operation efficiency is improved.

The present invention relates to the field of natural language processing technology, and in particular to a language model parallel reasoning method and system, which acquires and standardizes language data to generate feature data; performs feature extraction and preliminary reasoning at edge computing nodes to generate preliminary reasoning result data; divides the preliminary reasoning result data into adaptive data groups, and performs efficient parallel calculations to generate parallel calculation result data; converts the parallel calculation result data into graph representation data, uses adaptive graph neural networks for training and reasoning, and generates final reasoning results; optimizes data transmission performance through efficient asynchronous transmission protocols and flow control mechanisms, and applies advanced task scheduling algorithms to ensure efficient operation of each computing node. Through the present invention, efficient data transmission, maximum resource utilization, load balancing, and data dependency processing are achieved, significantly improving the computational efficiency and reasoning accuracy of the language model.

The invention discloses an SFU gateway network sharing method, device and equipment of a PON network and a medium, which can be applied to scenes corresponding to fiber-to-room (FTTR), enterprise-level FTTR-B and broadband fusion terminal products, and the method is based on sharing identity information, equipment information and a sharing strategy of resource sharing equipment. The resource sharing equipment is deployed to a block chain network, and decentralized resource sharing management is realized; according to the method, trusted identity authentication is carried out on resource sharing equipment and resource request equipment in a block chain network, a secure communication link is established, and resources of the resource sharing equipment are dynamically allocated based on a sharing strategy, so that on-demand sharing and efficient utilization of the resources are realized; and based on the recorded resource use information, token settlement is automatically carried out, equitable allocation of rights and interests of both resource sharing parties is ensured, transparency and traceability of the resource sharing process are effectively guaranteed, and the overall security of the system and the user credibility are improved.

This invention provides a method for preparing hydrogen and sulfur from solid waste gypsum through reduction and acidification in a cement kiln, relating to the field of solid waste disposal technology. The method involves targeted local modifications to a novel dry-process cement clinker rotary kiln production system. Using desulfurized gypsum, phosphogypsum, and other solid waste gypsum as raw materials, the gypsum is crushed, ground, preheated, and dehydrated. Then, it is calcined in a modified three-lobe gravity semi-suspended rotary kiln at 800–1100℃ in a reducing atmosphere to generate high-purity calcium sulfide. After sealed cooling, the calcium sulfide reacts with byproduct hydrochloric acid to produce high-purity hydrogen sulfide. The hydrogen sulfide is then used to co-produce hydrogen and sulfur via a medium-assisted electrochemical decomposition method, or high-purity sulfur can be directly prepared using the Claus process. This invention achieves full resource utilization of solid waste gypsum using existing cement kiln equipment, requires minimal modification, has low investment costs, and enables the cascade utilization of CO waste gas and kiln waste heat, reducing overall energy consumption by more than 30% compared to traditional processes.

This invention belongs to the field of high-performance parallel computing, specifically relating to a method for implementing SpMV based on an adaptive strategy on a CPU-DCU heterogeneous platform, aiming to improve the efficiency of SpMV computation. The method includes acquiring sparse matrix data at the CPU, converting the sparse matrix data into CSR format to obtain a CSR format array. Based on the CSR format array, adaptive decomposition is performed on the sparse matrix represented by it to obtain dense blocks and sparse blocks. An RDCSR format array is constructed based on the CSR format array; the RDCSR format array contains the CSR format array, an array recording the row indices of the dense blocks, and an array recording the row indices of the sparse blocks. The RDCSR format array is transmitted to the DCU, where, after adaptive thread allocation for the dense and sparse blocks at the DCU, SpMV computation is performed in parallel to obtain a merged computation result. The merged computation result is transmitted from the DCU to the CPU, and the computational performance of SpMV is evaluated.

This invention belongs to the field of power system planning and operation, and particularly relates to a method and system for optimizing the coordinated capacity configuration of flexible DC converter stations and reactive power compensation devices. It includes constructing a flexible DC interconnection model and establishing the capacity of the flexible DC converter station. P - Q The coupling characteristic curve is calculated. Based on the real-time reactive power demand of the system and the dynamic response weight of the flexible DC-DC converter station, the equivalent substitution coefficient of the flexible DC-DC interconnection for the traditional reactive power compensation device is calculated. Using the marginal cost analysis method, the marginal impact index of active and reactive power regulation demand on the overall net benefit of the system is calculated, and it is determined whether the flexible DC-DC interconnection device alone can meet the system's reactive power demand. If not, the reactive power gap is calculated and the traditional reactive power compensation device is configured. If it meets the demand, the optimal capacity configuration result of the flexible DC-DC converter station and the reactive power compensation device is obtained by maximizing the overall net benefit function of the system. This invention significantly improves the utilization rate of power electronic assets and the economy of power grid construction while ensuring the transient security support of the power grid.

The invention discloses a PDT base station multimode channel dynamic configuration method and system, and belongs to the technical field of communication. The invention mainly solves the technical problems that the existing PDT base station cannot dynamically allocate the channel resources according to the traffic tide due to the static binding relationship between the radio frequency carrier and the communication mode, and the mode switching needs to interrupt the service to restart the base station. According to the method, software function examples of multiple communication modes (TMO / RMO / DMO) are loaded in parallel in a base station memory, and a channel configuration center is used for generating a carrier recombination strategy based on real-time load monitoring. And the channel control unit is used as middleware, responds to an affiliation authorization instruction (SETAUTH), peels off the carrier affiliation right on a logic layer, and issues a service configuration instruction (NEWSVC) to the target mode instance. According to the mechanism, on the premise that radio frequency hardware is not reset, dynamic circulation and seamless multiplexing of physical carriers among different service modes are achieved, and the resource utilization rate and the service response flexibility of the base station are remarkably improved.

The utility model belongs to the electrical design technical field, specifically discloses automatic switching circuit of low -voltage single bus reactive power compensation device, the current transformer 1BC2 and 2BC2 are installed on the mother circuit of circuit, and the closed loop is formed in series with power factor controller 1PFC after the parallel connection of current transformer 1BC1 and 1BC2 output, and power factor controller 1PFC is electrically connected with the reactive power compensation device on the section I bus, the closed loop is formed in series with power factor controller 2PFC after the parallel connection of current transformer 2BC1 and 2BC2 output, and power factor controller 2PFC is electrically connected with the reactive power compensation device on the section II bus, the utility model has the characteristics of simple circuit, less investment, safe and reliable.

The application relates to a vehicle-cloud strategy execution method and device, a vehicle-machine terminal, a server and a vehicle. The method comprises the following steps: sending vehicle-machine running data to a server, wherein the vehicle-machine running data comprises driving state data and abnormal feature data; receiving vehicle-end execution budget data returned by the server according to the driving state data and vehicle-end execution fragments returned according to the abnormal feature data, wherein the vehicle-end execution budget data comprises actual budget data and residual budget data; determining elastic resource configuration data according to the proportion of the residual budget data and the actual budget data; allocating execution resources of the vehicle-machine terminal according to the elastic resource configuration data, and executing the vehicle-end execution fragments according to the execution resources. The method can be applied to complex and highly flexible dynamic scenes, and can reduce network load and resource occupation of the vehicle-machine terminal.

The invention discloses an intelligent workshop illumination control system and method based on the Internet of Things, and belongs to the field of illumination control systems.The system constructs a high-precision workshop three-dimensional space model by collecting three-dimensional parameters of workshop buildings, structural beams, shelters and production equipment, and performs simulation calculation by means of a light tracing algorithm; and outputting an optimal lamp layout scheme and a digital construction model with three-dimensional coordinates to realize accurate positioning and installation. The system creatively creates an Internet of Things feedback calibration mechanism, automatically corrects simulation parameters by using actually measured illumination data and stores the simulation parameters in a historical database to realize self-evolution of model precision, and in addition, personnel distribution, natural illumination and MES production data are fused in an operation stage to realize partition self-adaptive constant illumination control and dynamic energy saving, so that the system has a wide application prospect. Full-life-cycle intelligent management from design, construction to operation and maintenance is facilitated, illumination precision and construction efficiency are remarkably improved, and energy consumption is reduced.

This utility model relates to the field of cement production and shipping facilities, and discloses a cement production and shipping conveyor belt docking assembly, including a low-grade packaging machine and a high-grade packaging machine arranged in parallel. The output end of the low-grade packaging machine is connected to an automated shipping channel, and the output end of the high-grade packaging machine is equipped with a dredging packaging machine, which is mounted on top of the low-grade packaging machine. This utility model achieves docking of the conveyor channels of the high-grade and low-grade packaging machines by adding a dredging packaging machine, allowing high-grade cement that could originally only be shipped manually to be directly connected to the automated shipping channel of the low-grade packaging machine. This solves the problem of idle high-grade cement production capacity and meets the market's bulk demand for high-grade bagged palletized cement. The entire dredging packaging machine and its core conveying components are assembled from idle equipment that has been modified, dismantled, and recycled from the original pallet stacking system, without the need to purchase new equipment or change the original layout.

The application provides a hot-rolled seamless steel pipe sawing distribution optimization method, and relates to the technical field of mechanical automation control. The method first collects basic data such as the discharging sequence, total length, head and tail cutting amount, specification parameters and equipment information of the steel pipe, and sets control strategy parameter set; then constructs a dynamic sliding window with the cold bed discharging sequence, generates all feasible instant cutting groups and delayed schemes; then establishes a unified cutting loss model, and calculates and evaluates all feasible distribution schemes to obtain a unified evaluation value; selects the scheme with the minimum evaluation value as the optimal decision; finally, the execution instructions are issued to the conveying and sawing equipment one by one, and the sliding window is pushed forward according to the maximum cut sequence number after cutting, and the cycle is continued. The application can automatically distinguish the empty row strategy and the full load strategy among steel pipes of different specifications, significantly reduce the cutting loss while keeping the stable rhythm of multiple group sawing, and improve the yield and overall production efficiency.

The invention relates to the technical field of logistics and warehousing, in particular to a logistics and warehousing system optimization method based on a multi-agent system, which is specifically applied to collaborative optimization and dynamic task allocation among logistics nodes and can be widely applied to full-automatic logistics and warehousing systems. By integrating a full-automatic packaging line, an intelligent logistics management system (LMS), an automatic warehousing system (AS / RS) and a collaborative optimization algorithm based on a multi-agent system (MAS), an efficient solution is provided for logistics and warehousing links in the production process of the medicinal capsules.

The invention discloses a production method of a matrix core raw material, which comprises the following steps: by taking wood wastes such as battens, barks, garden branches and the like abandoned in the papermaking industry as main raw materials, soaking, cooking and fiberizing the main raw materials, directly using the main raw materials, and adding auxiliary materials and fermented cow dung, mixing, standing and fermenting, compressing into blocks and the like, thereby obtaining the matrix core raw material. An environment-friendly matrix core raw material is prepared. Compared with wood blocks commonly used in the papermaking industry, the bark and the branches which are not mature contain nutrient substances such as hemicellulose, pectin and fructose in more proportions, so that the fertilizer efficiency of the substrate is improved, and the substrate can be used as a seedling substrate and a cultivation substrate to replace most of traditional turf resources; the environment burden is reduced. In addition, existing equipment in the papermaking industry is fully utilized, the equipment utilization rate is increased, the application range of papermaking waste is expanded, and remarkable environmental protection benefits and economic values are achieved.