6results about How to "Break down technical barriers" patented technology

The application provides a kind of operation and maintenance scene visualization report generation method and system based on natural language question and answer, belongs to intelligent operation and maintenance technical field, method includes: receiving the natural language query input by user;Through the pre-training of large language model and the preset operation and maintenance terminology dictionary, the natural language query is parsed and entity is extracted, and the entity-field association table containing demand type is generated;According to demand type and semantic feature, the query type is judged to be data query or visual query;Based on the judgment result, generate structured query language sentence or visual instruction;Query is executed to the interface business database to obtain raw data;Raw data is processed and analyzed to obtain analysis result data;Call data feature adaptation algorithm to match chart type, generate and output visual report.The application realizes the full-link automation from natural language input to visual report output, reduces the operation and maintenance data interaction threshold, improves the operation and maintenance data processing efficiency and accuracy.

The application discloses a hearing prosthesis remote system integrating machine adjustment and rehabilitation training, comprising a remote platform, a hearing prosthesis and a wireless device, the remote platform comprising a remote debugging module and a rehabilitation module, a multi-round closed loop iterative training link being formed between the components, in each round of the closed loop iterative training link, the wireless device collects rehabilitation feedback signals formed by a user based on a current rehabilitation training scheme; the remote debugging module receives the signals, generates machine adjustment signals based on the rehabilitation feedback signals and historical machine adjustment feedback results, and sends the machine adjustment signals to the wireless device and the rehabilitation module; the wireless device adjusts the hearing prosthesis based on the machine adjustment signals to obtain machine adjustment feedback results of the user; and the rehabilitation module generates a new rehabilitation training scheme for the next round based on the machine adjustment signals and the rehabilitation feedback signals; the system breaks the technical barrier between machine adjustment and rehabilitation, deeply integrates remote machine adjustment and hearing rehabilitation training, provides complete data support for machine adjustment, and realizes accurate machine adjustment.

This invention discloses a multi-algorithm offline prediction system and deployment method for automotive safety based on Windows-WSL, involving the interdisciplinary field of automotive safety and computer science. The system utilizes WSL to build a Linux computing environment on the Windows side, transforming multi-source CAE / CAD data and operating parameters into standardized feature matrices through an automated pipeline. It employs an environment isolation mechanism to independently manage multiple prediction algorithms, achieving dynamic scheduling of computing power and automatic cache reclamation. Deployment scripts establish the data link between the Windows engineering software and the Linux inference engine. This invention achieves unified processing of heterogeneous data and stable management of the algorithm environment, significantly improving the generalization accuracy of offline prediction, the reliability of system operation, and the deployment efficiency in engineering sites.

The application discloses a fire-fighting effect evaluation method under digital modeling, and relates to the technical field of fire-fighting evaluation and public safety management. In a fire-fighting layout digital model, a parallel simulation calculation task is established for each preset fire scene, a dynamic fire development thermodynamic equation and a smoke diffusion calculation model are introduced, a flame heat spreading and diffusion process, a three-dimensional diffusion process of toxic smoke, an automatic starting response process of fire-fighting facilities after reaching a threshold value and an escape and evacuation process of people in a building are independently simulated under multi-level fire conditions, and dynamic simulation characteristic data under each fire scene is batch output. The application constructs a set of physical level general and interactive digital modeling and simulation framework. By introducing a bottom fluid partial differential equation and a thermodynamic model, the application can seamlessly adapt to modern buildings of any heterogeneous structure and complex floor without the need of developing a special model for each evaluation task.

The invention relates to the technical field of heterojunction preparation, in particular to a preparation method of a sandwich type two-dimensional flaky heterojunction. The preparation method comprises the following steps: dissolving CsBr in a precursor solvent to obtain a precursor solution A; biBr3 and AgBr are dissolved in HBr, and a precursor solution B is obtained; the ratio of the mole of the BiBr3 to the volume of the HBr is (0.29 mmol): (0.09 to 0.18 mmol): 2.3 mL; mixing the precursor solution A, the precursor solution B and isopropanol to obtain a precursor solution C; and heating the precursor solution C to 90-95 DEG C, and naturally cooling to obtain the sandwich type two-dimensional sheet heterojunction. By changing the molar ratio of Ag / Bi and adding isopropanol, the speed of synthesizing the heterojunction by a traditional two-step method is increased, the morphology of the heterojunction is accurately regulated and controlled, and the sandwich type heterojunction with a large specific surface area is formed.

The present invention discloses a fluorescent protein probe for non-invasive detection of mesenchymal stem cells and its application, belonging to the field of protein and genetic engineering. The affinity peptide M12 of mesenchymal stem cells is obtained by using a phage display peptide library (12 peptides), which is combined with cyclized mCherry and transferred into an expression vector, and then expressed by an Escherichia coli expression system to obtain the target fluorescent protein probe. Through experimental detection, the fluorescent protein probe can be used to detect mesenchymal stem cells, realizing the detection of mesenchymal stem cell levels in real time, breaking the defects and barriers of traditional detection methods.