35results about How to "Shorten the launch cycle" patented technology

This invention relates to the field of new energy data acquisition methods, specifically to a new energy data acquisition device and method for multiple application scenarios. The method includes: receiving acquisition intentions submitted by upper-layer applications; converting the acquisition intentions into data requirement tuples based on a pre-built resource dependency knowledge graph; when multiple acquisition intentions exist simultaneously, performing conflict detection on the data requirement tuples of each acquisition intention; taking the highest frequency and highest precision requirement of the same variable as basic acquisition parameters; obtaining the current available communication bandwidth, edge node computing power, and storage space resource status; downgrading and adjusting the acquisition parameters according to the priority of each acquisition intention; generating an acquisition strategy for each sensor or device; distributing the acquisition strategy to the edge acquisition gateway; and then performing data acquisition. This invention can dynamically adjust the acquisition strategy and rationally allocate resources according to the differentiated needs of multiple application scenarios when acquiring new energy data.

The application discloses a rule semantic fusion-based large model data verification system and method, and relates to the technical field of data processing and artificial intelligence. The system comprises a data receiving and preprocessing module, an intelligent verification engine module, an abnormality detection and risk assessment module, an execution and linkage module, and a feedback iteration optimization module. The system analyzes multi-source heterogeneous data, outputs verification results through rule compliance and semantic rationality double checking, fuses a four-fold detection mechanism in the abnormality detection module and dynamically weights risk scores, outputs a graded report according to risk levels in the execution module, and continuously optimizes the model and rules based on a time decay mechanism in the feedback module to form a closed loop. The application solves the technical problems of insufficient verification accuracy, difficult automatic arbitration of rule conflicts, poor risk assessment scene adaptability, and abnormality missed detection in the prior art, and improves the intelligentization and self-adaptation level of data verification.

This application relates to the field of artificial intelligence technology and discloses a method and apparatus for automatically generating cross-border logistics processes based on natural language parsing. The method includes: performing cross-language semantic parsing and task structuring on natural language instructions to generate a structured task description including logistics operation logic, target area information, and equipment interaction points; driving a large language model to perform logical reasoning and process construction based on the structured task description to generate an executable logistics process including equipment control nodes and compliance document generation nodes; dynamically mapping protocols for equipment control nodes based on an equipment function vector space alignment mechanism to generate equipment driving strategies; dynamically generating compliance content for compliance document generation nodes based on a multimodal rule base and real-time policy information to obtain formatted compliance documents; and finally integrating these into a logistics process execution package for deployment. This application can effectively improve the efficiency, adaptability, and compliance of cross-border logistics process customization.