6 results about "International standard" patented technology

The invention is applicable to the technical field of computer aided design, and provides an automatic tolerance labeling method based on a multi-modal large model, which comprises the following operation steps: receiving an STP file of an assembly as input, analyzing the structure of the assembly, calculating geometric information of parts and feature surfaces, distributing a unique identifier and establishing an assembly tree; and through shell part identification and a centroid-based iterative RANSAC profile extraction algorithm, generating a multi-view overall image and a profile image. According to the automatic tolerance labeling method based on the multi-modal large model, the manual labeling time is greatly shortened by automatically extracting geometric information and generating part description and tolerance labeling, and through guidance of a rule base and an international standard, it is guaranteed that tolerance labeling is standard and unified, the risk of human errors is reduced, and the accuracy of the manual labeling is improved. The multi-modal large model is combined with geometric data and natural language description, comprehensive understanding of part functions and assembly relations is achieved, the reasonability of tolerance marking is improved, and the method is suitable for multiple parts.

A system is provided for implementing an international standard-based resource transmission request rerouting tool. The system may perform operations that comprise: receiving a first set of resource transmission requests that are associated with the resource transmission network; redirecting, away from a legacy processing platform of the resource transmission network, the first set of resource transmission requests to a resource transmission request routing engine; performing, by the resource transmission request routing engine, a preliminary analysis by evaluating each resource transmission request against at least one from among a first set of rules and a first set of filters; based on the preliminary analysis, forwarding, by the resource transmission request routing engine, the resource transmission request to an corresponding processing platform; and processing, by the corresponding processing platform, the resource transmission request.

A blockchain-based system and method for verifying Certificates of Authentication (COAs) in supply chain management is disclosed, adhering to ASTM D8558-24 guidelines and relevant ISO standards including ISO / IEC 27001, ISO 28000, and ISO 9001. The system utilizes a custom Layer 1 (L1) blockchain built on the Avalanche platform, implementing a dual-token model to create, manage, and verify COAs as Non-Fungible Tokens (NFTs). It features AI-powered authentication, enhanced security measures, and a data marketplace for monetizing authenticated supply chain data. The system offers improved scalability, customization for various industries, and facilitates both B2B and B2C transactions. With cross-chain communication capabilities and integration with existing supply chain systems, the invention addresses environmental and social considerations while providing comprehensive interoperability. This solution aims to revolutionize supply chain authentication, offering enhanced transparency, efficiency, and trust in global trade, all while maintaining compliance with international standards for security, quality, and supply chain management.

The invention relates to the technical field of medical information, in particular to an international-oriented traditional Chinese medicine operation standardized coding and multi-language mutual recognition method, which comprises the following steps of: constructing a multi-language parallel corpus; extracting traditional Chinese medicine nursing operation terms, generating hierarchical standardized codes, and associating multi-language translation names to form a term library; establishing a mapping relationship between the code and an international general medical term library; generating a standardized data packet through a multi-center mutual recognition service based on the mapping relationship; and carrying out block chain evidence storage on the key operation. According to the method, the problem that cross-border mutual recognition of traditional Chinese medicine nursing operation is difficult due to non-standard terms, lack of multi-language support and disjunction from international standards is solved, accurate understanding, efficient mutual recognition and credible tracing of traditional Chinese medicine nursing service in a cross-border scene are achieved, and internationalized popularization of traditional Chinese medicine service is powerfully supported.

The invention discloses an intelligent document coding system and method based on rule driving, and belongs to the technical field of intelligent document processing. According to the system, a three-level DCC coding rule tree (A1 technical field-> A2 main class-> A3 subclass) fusing international standards, national standards and enterprise self-defined requirements is constructed; a two-stage analysis mechanism is adopted, wherein file name information is extracted in a structured mode, and RAG enhanced content analysis is started when the confidence coefficient is lower than 0.8; generating an initial code through the Qwen-72B large model in combination with the structured Prompt, executing format verification, and outputting a compliant code; constructing a hierarchical classification tree based on a coding result and performing multi-dimensional statistics; meanwhile, the matching degree of a file name and a code is calculated, a case lower than 0.6 is marked as a nonstandard case, and a naming template is dynamically generated by utilizing a high-matching case, so that closed-loop iterative optimization of naming specifications is realized. According to the method, coding standardization, automation and traceability are improved.

This invention discloses a cross-system interconnection and compliance detection system for general governance rules of artificial intelligence, belonging to the field of artificial intelligence security governance technology. The system includes a hardware-isolated security main control module, a cross-system standard interconnection protocol stack, a non-intrusive behavior acquisition module, a multi-domain governance rule matching engine, a compliance closed-loop verification module, and a result anti-tampering evidence storage module. This invention adopts a hardware isolation architecture to build an isolated operating environment, realizes the interconnection of heterogeneous AI systems without modification based on an international standard protocol stack, collects operating data through non-intrusive technology, completes dynamic verification by combining hierarchical compliance baselines, controls violations through hardware isolation layer instructions, and completes full-link data evidence storage and traceability based on encryption technology. This invention solves the technical problems of existing technologies, such as strong invasiveness, poor compatibility, easy tampering of compliance control, and lack of international standard adaptation, and can be applied to the compliance governance of various types of artificial intelligence systems.