67results about How to "Reduce build time" patented technology

The invention discloses an intelligent legal instrument generation method and system based on a large model, and relates to the technical field of natural language processing. According to the method, law related texts are collected through multiple channels and preprocessed, a law domain knowledge graph is constructed, and after pre-training is conducted through a BERT model, the graph and a document sample are fused for fine tuning training; a user selects a document type and an input parameter by means of the interactive interface and transmits the document type and the input parameter to the model to generate a first draft of the legal document, and then multi-dimensional evaluation and optimization circulation are carried out until the legal document reaching the standard is output; the method covers the whole process of data processing, knowledge graph construction, model training and document generation evaluation, enriches knowledge reserve by using multi-source data, improves model pertinence by combining pre-training and fine tuning, and guarantees document quality through multi-dimensional evaluation. The problems of low legal instrument writing efficiency, unstable quality and the like are effectively solved, the legal instrument generation efficiency and quality are improved, and intelligent development of the legal field is promoted.

The invention discloses a knowledge graph-based nursing corpus automatic creation method, and relates to the field of artificial intelligence technology and medical information processing, and the method comprises a multi-dimensional data acquisition stage, a knowledge graph construction stage, a corpus automatic generation and updating stage, and a corpus quality control and evaluation stage. According to the automatic corpus generation method driven by the knowledge graph, dynamic generation and real-time updating of corpora are achieved by constructing an ontology structure, a corpus generation template and an updating algorithm in the nursing field; through a deep learning model and a transfer learning technology, new nursing knowledge and a diversified information structure are continuously introduced into the corpus, and the diversity of corpus content is increased.

The invention discloses a new method for constructing an oil reservoir simulation agent model based on transfer learning, and relates to the technical field of petroleum engineering, and the method comprises the steps: building a fine-scale oil reservoir model; constructing a high-fidelity data set; carrying out scale upgrading and coarsening on the oil reservoir model; constructing a low-fidelity data set; constructing a deep learning model; training a pre-training model by using the low-fidelity data; finely tuning the pre-training model by using the high-fidelity data; and predicting output parameters. According to the method, it can be guaranteed that under the condition that a small amount of high-fidelity training data is used, oil reservoir multi-term flow under the variable well control condition can be accurately predicted, dependence on the high-fidelity training data in the agent model building process is effectively reduced, and the agent model building time is shortened on the premise that prediction precision is not affected. According to the method, the embedded module is introduced to process the time-varying well control parameters, the problem that matrix element parameters corresponding to well positions are difficult to effectively diffuse to the whole output result through finite times of convolution is solved, and the global influence of the well control parameters on the output result of the proxy model is improved.

The embodiment of the invention is suitable for the technical field of block chains and data processing, and provides a block chain data processing method and device and computer device.The method comprises the steps that when data stored in a block chain is read according to an account address, state index storage information corresponding to the data is obtained, the state index storage information is constructed in the form of KV key value pairs and used for storing physical K values corresponding to all nodes in the state tree; determining the path depth of a leaf node where the account address is located, wherein the path depth represents the number of target nodes contained on a storage path of the data; respectively determining a current path field of each target node; determining a physical K value corresponding to each target node in the state tree based on the current path field; and reading the physical V value corresponding to the physical K value corresponding to each target node in parallel to obtain a complete storage path, and reading data through the storage path. By adopting the method, the read-write efficiency of the block chain data can be improved.

The invention is suitable for the technical field of data processing, and provides an education evaluation report generation method and system, and the system comprises a data management module which is used for obtaining the data of evaluation indexes in each evaluation item in an evaluation report, and obtaining the index data; the index management module is used for adjusting the evaluation index and the weight thereof, and performing statistical processing on the index data according to the evaluation index and the weight thereof to obtain statistical data; the template management module is used for filling the index data into a Prompt template and inputting the filled Prompt template into a large language model, and the large language model analyzes facts reflected by the index data based on cue words in the Prompt template to obtain analysis content; and the report generation module is used for integrating the analysis content and the statistical data into an evaluation report template to obtain a target evaluation report. The large language model is used for deep data analysis, the evaluation report is generated, the report generation time is remarkably shortened, and manual errors and subjective deviations are reduced.

The invention relates to a cross-platform compiling method and device of a Linux module, computer equipment and a medium. The method comprises the following steps: receiving a compiling file package sent by a development platform, and decompressing the compiling file package to a target compiling directory; adjusting the compiled file package according to an adaptation result of the compiled file package and the target platform; receiving a Linux module code sent by the development platform; and compiling the Linux module code through the adjusted compiling file package. By adopting the method, the compiled file package can be conveniently managed; through transmission of a single compiling file package, a stable compiling environment can be established on an application platform, the situation that a technician needs to regenerate a compiling file package every time the compiling environment is switched is avoided, the number of compiling files needing to be managed by the technician is reduced, and the compiling efficiency is improved. The compiling environment building time needed in the Linux module code compiling process is shortened, and then the development efficiency of the Linux module is improved.

The invention belongs to the technical field of time sequence anomaly detection, and particularly relates to a streaming time sequence sub-sequence anomaly detection method fusing global and local features, which comprises the following steps: clustering all sub-sequences in an initial batch, constructing an inverted index, and performing approximate neighbor search on each sub-sequence; the used calculation formula is used for measuring deviation between the subsequences and neighbors of the subsequences and between the subsequences and cluster centers of clusters containing the neighbors of the subsequences and dispersity of neighbor distribution, and global and local feature fusion is achieved; taking each current cluster as a historical cluster, calculating the maximum distance between each sub-sequence in each historical cluster and the cluster center of the cluster, and taking the maximum distance as a density parameter of the historical cluster; and clustering all the subsequences in the latest batch, calculating the Euclidean distance between the cluster center of each new cluster and the cluster center of each historical cluster, carrying out cluster combination based on the comparison of the Euclidean distance and the density parameter of each historical cluster, and repeatedly executing neighbor search and abnormal score calculation. According to the invention, accurate detection of large-scale streaming data can be realized.

The utility model discloses a methanol rectification system capable of improving methanol yield, which is characterized by comprising a crude methanol preheater, a pre-rectification tower, a pre-prognosis methanol pump, a pressurizing tower inlet preheater, a pressurizing tower, an atmospheric tower, an atmospheric tower condenser, an atmospheric tower reflux tank, an atmospheric tower product cooler and a methanol storage tank, and the cold medium outlet of the pressurizing tower inlet preheater is also communicated with the feeding hole of the atmospheric tower through a pipeline. The method has the advantages that in the start-up process, tower bottoms in the pre-rectifying tower are heated by the tower inlet preheater of the pressurizing tower and are supplied to the pressurizing tower and the atmospheric tower respectively, so that the time required for establishing the liquid level of the atmospheric tower can be shortened, the start-up time of the system is shortened, the output time of refined methanol is prolonged, and finally the yield of methanol is increased; the heat carried by the steam discharged from the top of the pressurizing tower can be recycled, and the methanol carried by the steam can be recovered, so that the yield of the methanol is increased.

The invention relates to the technical field of information retrieval, in particular to a large-scale semantic retrieval optimization method based on deep learning, which comprises the following steps: acquiring to-be-retrieved text data, and converting the to-be-retrieved text data into semantic vector representation through a deep learning model; carrying out topological structure analysis on the semantic vector representation to obtain topological characteristic information of a semantic space; on the basis of the topological characteristic information, a topological perception hierarchical navigable small-world graph index with a multi-layer structure is constructed, and each layer comprises a node set and a connection relation thereof; dynamically optimizing and adjusting the topology-aware hierarchical navigable small-world graph index according to an actual query mode and system performance feedback; and receiving a query request, converting the query request into a query vector, executing multi-layer navigation search in the topology-aware hierarchical navigable small-world graph index, and returning a retrieval result related to the semantics of the query vector.

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.

Embodiments of the present application provide a check matrix generation method, device and electronic equipment. The check matrix generation method comprises: generating a plurality of reference check matrices based on target configuration parameters and error correction performance requirements; generating a plurality of mapping tables corresponding to different parameter combinations based on the target configuration parameters, constraint conditions of an LDPC encoder and constraint conditions of an LDPC decoder; adjusting the plurality of reference check matrices based on the plurality of mapping tables to obtain adjusted check matrices; and checking the adjusted check matrices, and taking an adjusted check matrix that passes the check as the target check matrix, which can shorten the check matrix generation time and reduce the computing power consumption.

The invention discloses a decision-making system and method based on a Dores database, and the system comprises a data access layer which is used for accessing multi-source heterogeneous financial data in real time, a Dores storage calculation layer, and achieves the data storage, column-type bucket separation and materialized view pre-calculation based on the Dores database; the visual application layer is used for providing bidirectional interactive financial data visualization and decision support; wherein the data access layer acquires data in real time through a streaming computing engine and transmits the data to the Dores storage computing layer, and the visual application layer performs real-time data interaction with the Dores storage computing layer through a two-way communication protocol. According to the method, the synchronous delay of financial data is shortened from 6 hours to 1 second, second-level real-time integration is realized, the aggregation query response time of billion-level data is reduced to be within 1 second based on a Dores column type storage and materialized view technology, the user interaction response delay is lower than 500 milliseconds through WebSocket two-way communication, and real-time adjustment of parameters and dynamic refreshing of a billboard are supported.

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.

The invention discloses a GPU-based graph vector index construction method and device and a storage medium, and relates to the technical field of graph index construction. The method comprises the following steps: fragmenting an original data set based on a clustering algorithm to obtain a first preset number of fragmented data subsets; sending the ith fragmented data subset to the GPU, wherein i is a positive integer; constructing a local graph vector index of the ith fragmented data subset in the GPU; sending the (i + 1) th fragmented data subset to the GPU until all local graph vector indexes are obtained; and constructing a hierarchical global graph vector index according to all the local graph vector indexes. According to the method, the production line of the producer-consumer model is constructed, so that the data transmission time of the PCIe bus is completely covered by the calculation time of the GPU, the I / O bottleneck is eliminated, and the construction speed of the graph index is improved.

The utility model discloses an assembly type telescopic tower crane man access platform device, including nested keel, cross bracing keel and antiskid steel sheet, the nested keel includes first square tube and second square tube, and the second square tube is inserted to the first square tube, is used for telescopic adjustment nested keel's overall length and is fixed through high -strength bolt connection, and a plurality of cross bracing keels are connected between two nested keels, and the cross bracing keel is flush with the top surface of the nested keel, and the antiskid steel sheet is laid on the nested keel and the cross bracing keel. The utility model solves the problem that traditional tower crane man access builds low efficiency, poor adaptability, insufficient safety, has the advantages of convenient assembly, telescopic adjustable, high reusability, safe and reliable, can be adapted to different models tower crane and construction working condition, effectively promotes construction safety and operation efficiency.

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 utility model discloses a thermal military tent, belonging to the field of tents. It includes a segmented, hinged base plate, with tents movably connected to both sides of the top of the base plate. The tents are also segmented and hinged together. A first connecting block is movably connected to the top of the base plate, and a second connecting block is movably connected to the inner wall of the tent. A first spring is fixedly connected to the outer wall of the first connecting block. Through the arrangement of the base plate, tents, first connecting block, second connecting block, and first spring, when the tent needs to be deployed, the second connecting block on the tent and the second connecting block on the base plate utilize the first spring to release elastic potential energy, causing the tent body to automatically unfold. During folding, the first connecting block and the second connecting block retract and store force using the first spring, allowing the tent body to fold and be stored. The entire operation can be completed by a single person, effectively improving the efficiency of rapid deployment and evacuation of troops in the field.

The invention discloses a turbine cold air hole structured grid rapid generation method, which comprises the following steps: acquiring mainstream computational grid data of a target turbine blade, and determining corresponding geometric feature parameters according to the cold air hole type of a target cold air hole; inputting the geometric characteristic parameters into a parameterized geometric model corresponding to the target cold air hole type to generate parameterized cold air hole geometry; based on the mainstream computational grid data, geometrically positioning the parameterized cold air holes to the surface of a target turbine blade; performing adjacent geometric interference check and processing on the parameterized cold air hole geometry; and calling a corresponding preset grid topology division strategy according to the type of the target cold air hole passing the adjacent geometric interference check, and generating a structured hexahedral grid attached to the boundary of the mainstream computational grid. According to the method, a high-quality structured grid is quickly and automatically generated according to a cooling geometric structure.

The invention provides a communication system, method and device based on FIDL interface document conversion, and relates to the technical field of communication. Each subsystem in the plurality of subsystems is respectively deployed with an interface document conversion module, the interface document conversion module is configured to convert a predefined FIDL interface document into an interface code under a target language type, the FIDL interface document is separated from a function code, and the target language type is a language type matched with the subsystem; a communication adaptation module is deployed in each subsystem, and the communication adaptation modules are configured to convert communication data into Json character string data when any two subsystems communicate, and transmit the Json character string data according to a WebSocket communication protocol based on interface codes. The method can reduce the workload of code modification and improve the communication efficiency.

The invention provides a power grid dispatching method, a control device and a storage medium, and belongs to the technical field of power grids. The method comprises the following steps: inputting acquired operation data into a multi-objective optimization model to output an optimization scheduling variable; performing constraint condition verification on the optimal scheduling variable, when the optimal scheduling variable meets a preset constraint condition, generating a scheduling scheme of the target power grid, and issuing a scheduling scheme instruction; in the process that the target power grid executes the scheduling scheme instruction, monitoring an operation index of the target power grid; and calculating the deviation between the monitored operation index and the optimization target, and when the deviation exceeds a preset threshold value, adjusting the scheduling scheme of the target power grid. Through a technical path of offline training and online reasoning of the neural network, the generation time of the scheduling scheme is greatly shortened, and real-time response to dynamic change of the power grid is realized.

The application discloses a numerical simulation method for spray combustion of an aero-engine combustion chamber, and belongs to the technical field of simulation of spray combustion of an aero-engine combustion chamber. The numerical simulation method is based on an adaptive matching iterative solution control mechanism of liquid droplet and flow field motion scale to perform outer circulation; starting from mixed fraction definition and component transport, a coupling relationship between fuel evaporation and combustion is established by deducing mixed fraction source terms and component transport equation source terms under different definitions, so that the numerical simulation method has high-fidelity coupling simulation capability of flow-spray-combustion; the RCCE method is introduced to establish a flame surface database, a large number of components in a chemical reaction mechanism are mapped to a limited number of constraint variables for dimension reduction solution, and a constraint equilibrium state is obtained according to the maximum entropy principle, and finally, the concentration of each component is reconstructed by using a constraint potential energy; while ensuring the accuracy of key chemical thermodynamic coupling, the generation efficiency of a complex fuel chemical reaction database is improved.

The invention discloses an output method based on 32-bit single-chip microcomputer firmware upgrade memory anti-overflow protection, and relates to the field of single-chip microcomputer memory anti-overflow protection, and the method specifically comprises the following operation steps: S1, environment variable configuration and management; s2, performing core execution of the Python automatic script; s3, performing anti-overflow protection on the memory; and S4, cleaning redundant files and environment variables. According to the output method based on the 32-bit single-chip microcomputer firmware upgrade memory anti-overflow protection, the file path is defined as the environment variable and stored in the independent configuration file in a centralized mode, complete separation of the path and script logic is achieved, the non-transplantable problem caused by a hard coding path is avoided, meanwhile, the adaptation cost in different environments is reduced, and the adaptation efficiency is improved. Operators do not need to modify script codes and only need to adjust configuration files to complete deployment.

The application discloses a method for enhancing position monitoring of a closed space PNT network and a high-precision map, and relates to the field of wireless positioning. The method comprises the following steps: establishing a semantic unit grid of a target closed space; establishing a mapping relationship database of semantic information of any one entity object element and position information of the semantic unit where the entity object element is located; acquiring a grid code of a semantic unit where a target entity object is located; and obtaining position semantic information of the target entity object based on the grid code of the semantic unit and the mapping relationship database. According to the technical scheme, the grid code of the semantic unit where the user is located is calculated only once, the semantic information is obtained by reading the mapping relationship database index based on the grid code of the semantic unit, and the calculation amount and response waiting time of the user position monitoring information are greatly reduced. Furthermore, the rationality of the user position monitoring information is improved, and the calculation amount of the generated user position density monitoring information is reduced.

The invention provides a non-static-pressure hydrodynamic model cross-platform transplantation method and system, and relates to the technical field of program transplantation, and the method comprises the steps: obtaining a dependence library needed by a non-static-pressure hydrodynamic model, and installing and configuring the dependence library to a target platform processor; modifying a compiling link file of the non-static hydrodynamic model to enable the compiling link file to pass through a compiling environment of a target platform processor; adding a target platform compiling option and a corresponding compiling rule in the compiling link file; modifying a link position of the dependency library, and executing a compiling command after related configuration is completed; after the compiling is successful, according to a hotspot analysis tool, determining a hotspot function during the operation of the non-static hydrodynamic model, and rewriting the hotspot function into a many-kernel function; and compiling an incremental compiling script, and linking the many-core program to the non-static-pressure hydrodynamic model. According to the method, cross-platform transplantation of the non-static-pressure hydrodynamic model is achieved, the program running speed is increased through many-core optimization, and rapid simulation and prediction of tide, storm surge and tsunami are facilitated.

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.

The invention relates to the technical field of virtual power plants, in particular to a virtual power plant energy scheduling method and system based on distributed optimization, and the method comprises the steps: constructing a distributed energy node state sensing network, collecting the operation state data and load prediction data of each distributed energy unit in real time, and transmitting the data to a distributed optimization scheduling center; based on an improved distributed model predictive control algorithm, establishing a multi-target energy scheduling optimization model, and decomposing a global optimization problem into local sub-problems of each node; parallel iterative solution of each sub-problem is realized through a distributed collaborative solution mechanism, and a scheduling scheme is dynamically corrected; and based on the real-time operation deviation and the external environment change, adaptively adjusting a scheduling strategy and issuing the scheduling strategy to each energy unit for execution. According to the invention, distributed energy resources are integrated through a distributed optimization architecture, efficient collaborative scheduling of virtual power plant energy is realized, the energy utilization rate is improved, the operation cost is reduced, and the system operation stability and flexibility are enhanced.

The present application relates to the technical field of water turbine production equipment, and particularly relates to a stator shell machining method capable of quickly installing an iron core, comprising the following steps: one, a prefabrication machining step; two, a pre-positioning step; three, a tool installation and precision adjustment step; four, a measurement and adjustment step; and five, a deformation-resistant welding step, the present application is provided with a pre-positioning structure of a clamping groove-clamping block, and the initial placement of the dove tail rib can achieve high coarse positioning accuracy, the tedious repeated alignment and auxiliary tool building time in the traditional method are saved, the three-dimensional adjustable tool makes the radial and circumferential precision adjustment one-step, different tools do not need to be repeatedly loosened and tightened, preliminary estimation shows that the installation time of a single dove tail rib can be shortened by more than 50%, and the overall stator shell machining cycle is shortened by 30%.

This utility model provides a construction mold for cast-in-place strips of composite slabs, specifically relating to the field of construction technology. It addresses the technical problems of existing molds being unsuitable for gaps of other sizes, having low reusability, and requiring the cutting of tie rods after formwork removal, which increases construction time and cost. The device includes a horizontal bar above the gap between two composite slabs and a hanging mold assembly below. Both ends of the horizontal bar are slidably fitted with sliding sleeves, and a vertical bar is fixed to the outer end of each sliding sleeve. The bottom of the vertical bar is connected to a support assembly for easy demolding. A tie rod is provided between the hanging mold assembly and the sliding sleeves, with both ends bolted to the sliding sleeves and the hanging mold assembly, respectively. An isolation sleeve is movably fitted around the tie rod. This device allows adjustment of the support assembly spacing via the sliding sleeves to adapt to gaps of different sizes. The isolation sleeves isolate the tie rod from the cast-in-place concrete, and the isolation sleeves also isolate the inverted truncated cone from the concrete.

The invention discloses an automatic grinding and chamfering method for a steel structure part, which comprises the following steps of: analyzing the physical characteristics of the part and the connection relationship between other parts associated with the part in a steel structure 3D model so as to generate grinding and chamfering information of the part, and generating a grinding and chamfering processing program; the intelligent grinding and chamfering work station completes matching of the incoming part and the grinding and chamfering machining program and executes grinding and chamfering operation. According to the automatic grinding and chamfering method for the steel structure part, the stability of grinding and chamfering operation of the part can be guaranteed, the quality requirements of welding and coating are met, the investment of technicians and operators can be greatly reduced, meanwhile, the skill level of the technicians and the operators is greatly reduced, and the production efficiency is improved. Dependence on skills and quantity of personnel is avoided; and the labor intensity and the occupational health risk of personnel can be greatly reduced, the comprehensive machining cost of steel structure parts is reduced, and the application prospect is good.