5 results about "Rapid response system" patented technology

This invention provides a rapid response system for intelligent frequency regulation and safe operation of molten salt thermal storage in thermal power units, comprising a multi-source state sensing module, a data preprocessing module, an intelligent decision-making center, a collaborative control center, and a physical system. The multi-source state sensing module collects unit parameters, grid commands, and molten salt state signals in real time; the data preprocessing module filters, fuses, and extracts features from the sensed signals; the intelligent decision-making center constructs a real-time digital twin to achieve multi-scale state prediction, enabling adaptive optimization of control strategies and multi-objective collaboration; the collaborative control center performs millisecond-level collaborative control of each execution unit based on intelligent decision commands; the physical system includes a boiler bypass coupling interface, the molten salt thermal storage system, and the power grid, forming a rapid frequency regulation channel. Each module, through a closed-loop control circuit, achieves a second-level response from signal sensing and intelligent decision-making to rapid execution, significantly improving the frequency regulation flexibility and grid support capabilities of thermal power units.

The invention discloses an adverse reaction recognition and quick response system and method in an infusion process, and solves the problems that an individual feature similarity model and an individual-drug interaction prediction model in an existing method are static prediction models based on historical data, and dynamic changes cannot be captured in real time; the infusion monitoring method comprises the following steps: acquiring infusion monitoring information in real time; the adverse reaction recognition model recognizes and analyzes the abnormal monitoring data based on risk clustering analysis, calls an adverse reaction strategy in a response database, and triggers an adverse reaction pushing instruction; according to the system, effective infusion monitoring information can be obtained in real time in the infusion process, deep processing such as filtering and noise reduction and wave band periodical detection can be conducted on multi-source infusion monitoring information, dynamic changes in the infusion process are captured in real time through the adverse reaction recognition model, adverse reactions are found in time, and the accuracy of infusion monitoring is improved. And real-time monitoring and rapid response to adverse reactions are realized.

The invention discloses an accurate algae prevention and control system based on air-water collaborative intelligent decision and application thereof. According to the method, 1) an algae prevention and control zero-delay response system is established: a minute-level quick response system is constructed by fusing a deep forest inversion model, a GNSS-RTK high-precision positioning module, an algal inhibition bacterium activation and addition integrated device and a dynamic decision model based on a fuzzy rule, and the problem of prevention and control response hysteresis is solved; 2) a data-driven accurate adding system: through dosage dynamic optimization and activator structure innovation, microbial inoculum adding depth self-adaption and concentration field homogenization are realized, and insufficient pesticide effect, waste and algal inhibition efficiency attenuation caused by space-time mismatch are eliminated; and 3) a full-intelligent operation system: depending on a multi-mode obstacle avoidance and remote sensing-execution-evaluation double-closed-loop architecture, achieving unattended operation of a detection-decision-policy implementation full link, and breaking through the scale deployment bottleneck and environmental adaptation limitation of traditional man-machine coupling.

This application relates to the field of image communication technology, specifically to a rapid response system for live-streaming teaching interruptions in online classrooms. The system includes: a data acquisition module for acquiring video frames and packet loss rate during the live stream; an interruption monitoring module for determining if interruptions occur; an image evaluation module for acquiring distorted images, classifying them into minor interference images and severe interference images based on color distribution characteristics and packet loss rate; further classifying minor interference images into replaceable images and images to be repaired based on their similarity to other images; and an image repair module for repairing the images to be repaired and replacing the replaceable and severe interference images, thus restoring the live stream to normal operation. This application improves repair efficiency by repairing some distorted images and replacing others, thereby achieving a rapid response to live-streaming teaching interruptions.

The invention discloses a network attack behavior quick response system and a use method, and relates to the technical field of network security, and the system comprises an attack identification module, a decision making module, a disposal module, a self-healing repair module, a collaborative interface module and a strategy iteration module. The attack identification module adopts an industrial protocol white list, a process behavior baseline and an attack gene pool to form a three-dimensional identification logic, and accurately distinguishes legal instructions and attack behaviors. And the decision module adopts an edge and cloud collaborative architecture to complete different levels of attack hierarchical decisions. And the processing module takes over production and isolates an attack source through standby equipment in combination with redundancy switching and a precise isolation strategy. The self-healing repair module prepositions digital twinborn verification and matches a repair template to execute thermal repair. And the strategy iteration module automatically synchronizes the data and updates an identification standard and a disposal strategy. The method can avoid misjudgment of production halt, reduce the influence of disposal on production, reduce attack recurrence, realize protection and production collaboration, and adapt to key infrastructure industrial scenes.