6 results about "Proprietary format" patented technology

A technique may include generating a snapshot from a proprietary format, generating a snapshot of a block-based backend storage system, where the snapshot of the block-based back in storage system references the snapshot from the proprietary format. APIs associated with the proprietary format may then be used to read out application data as blocks and to write those blocks to an independent logical unit.

This invention provides a virtual human intelligent interaction system and method based on a large-scale model workflow. The interaction system includes: a virtual human interaction module, used to convert collected user interaction information into query requests; and to generate response content based on standard format requests received from an interface interface module, and present it to the user; an interface interface module, used to convert query requests received from the virtual human interaction module into proprietary format requests specific to the workflow tool module; and to convert processing results returned by the workflow tool module into standard format requests required by the virtual human interaction module; and a workflow tool module, used to process the proprietary format requests received from the interface interface module to obtain processing results. This invention solves the problems in existing technologies such as the disconnect between workflow tools and virtual human technology, the limited interaction methods, and the weak data processing and management capabilities caused by the over-reliance of virtual humans on language models.

This invention relates to the field of archival data management technology, specifically disclosing a data processing optimization method for archival management systems. First, proprietary format files are collected and converted to a standard format in a runnable native environment to form paired training data. Next, a semantic understanding network composed of feature extraction units and structure generation units is constructed and trained, enabling it to learn to identify semantic units from binary streams and reconstruct structured data. Then, this network is encapsulated as a parsing program independent of the native software environment, capable of directly reading proprietary format files and outputting standard files containing complete geometry, topology, and attributes. The confidence level is calculated by comparing the output with the verification file, and low-confidence samples are fed back to the training set for incremental network training, continuously optimizing parsing capabilities. This invention liberates data from technically locked archives and forms a self-evolving closed-loop optimization system, ensuring the long-term reusability of industrial digital assets.

This invention discloses a method, terminal, medium, and product for processing and analyzing industrial process data, relating to the field of data analysis and processing technology. The method includes: exporting multi-source industrial process data into a common text format file; performing standardization adaptation, cleaning, completion, and time-series alignment and merging on the text data to obtain standardized data in a unified and compatible format; using professional analysis tools to conduct in-depth offline analysis of the standardized data, including periodic statistical analysis, customized signal processing, and mathematical operations oriented towards the process scenario; generating customized analysis reports according to preset templates based on different user groups and completing automated publishing; and exporting the standardized data into the native proprietary format of the analysis tools, archiving and storing it together with the analysis reports. This invention achieves unified processing and in-depth analysis of multi-source heterogeneous industrial data, improves the automation level and reusability of data analysis results, and constructs a complete closed loop from data to knowledge.

A technique may include generating a snapshot from a proprietary format, generating a snapshot of a block-based backend storage system, where the snapshot of the block-based back in storage system references the snapshot from the proprietary format. APIs associated with the proprietary format may then be used to read out application data as blocks and to write those blocks to an independent logical unit.

The invention relates to the technical field of simulation waveform comparison, and provides a simulation waveform file-oriented automatic comparison method, which comprises the following steps of: S1, analyzing and obtaining test result data, and analyzing a log to obtain a potential error signal; s2, performing concurrent preprocessing on the signal data in the proprietary format, and exporting the signal data in a PWL plain text data format; s3, concurrent circulation processing is carried out on each group of result signals and golden signals, scalar pre-judgment is carried out firstly, and if the pre-judgment is not clear, vector core judgment is carried out; s4, in vector core judgment, lossless resampling is firstly carried out on a result signal and a golden signal, then time delay between the two signals is calculated and removed, and then at least one vector error calculation method is adopted to be combined with a threshold value to judge whether the two signals are the same or not; and S5, summarizing comparison results of all signal pairs, and generating a structured report. The problems that waveform comparison in a semiconductor simulation and regression test seriously depends on manual work, misjudgment is caused by small delay, precision and efficiency conflict exists, and an automatic tool is lacked are solved.