3results about How to "Risk prevention" patented technology

This invention discloses an intelligent visual prosthesis system and encoding method. The system includes an external sensing processing unit and an internal implanted stimulation unit. The external sensing processing unit includes at least an environment sensing unit and a first data processing unit, and the internal implanted stimulation unit includes at least a stimulation signal generation unit and an electrode array. The environment sensing unit is used to acquire a target image. The first data processing unit is used to match the current scene to a preset lighting scene mode according to the image features or ambient illuminance of the target image, independently configure anchor points for the corresponding image grayscale value boundaries for the matched lighting scene mode, and generate a grayscale-charge density mapping relationship corresponding to the lighting scene mode. Then, the grayscale value of each pixel of the target image is mapped to the corresponding target charge density, and a stimulation command is generated and output to the stimulation signal generation unit. The stimulation signal generation unit is used to generate an electrical stimulation pulse sequence according to the stimulation command and a preset reference pulse width and output it to the electrode array.

This invention discloses an intelligent CTD sampling control method and system combining tidal current prediction, relating to the field of marine observation technology. The method includes: generating tidal current predictions by fusing historical tidal elements and numerical model outputs, and planning candidate sampling windows; real-time acquisition of multi-source observation data to form standardized observation vectors, calculating the deviation from the predicted values ​​and fusing the vertical shear force intensity factor to perform rolling corrections on the predictions and update the sampling windows; comparing real-time observation data with safety thresholds to generate operational access instructions, issuing control instructions under permissible conditions, and dynamically adjusting sampling parameters and triggering resampling based on profile data quality coefficients; synchronously monitoring abnormal events, triggering emergency recovery, and deferring the task to subsequent candidate windows. By constructing intelligent closed-loop control, introducing vertical shear force early warning, and a parallel processing architecture, adaptive, highly safe, and highly reliable CTD sampling operations under complex sea conditions are achieved.

This invention relates to the field of bid document management technology, and in particular to an automatic bid document review method and system based on natural language processing. The method includes: identifying target sections; determining historical performance and financial information; judging whether false performance exists; analyzing the complete sentences containing target keywords; calculating material scores; determining price deviation; and determining the review result. This invention achieves multi-dimensional and comprehensive review of bid documents by intelligently analyzing multiple sections such as qualifications, risks, materials, and pricing. This effectively improves the comprehensiveness and depth of the review. Utilizing natural language processing technology, it can accurately identify and extract key information from bid documents, overcoming the subjectivity and limitations of traditional manual review. Quantitative assessment based on risk level significantly improves the accuracy and relevance of risk identification. By comprehensively weighing material scores and price deviation, it significantly improves review efficiency.