11 results about "Rapid response system" patented technology

The invention relates to the technical field of hydrogen production, in particular to a quick response system of a double-probe hydrogen leakage explosion detector and a grading early warning method. Comprising a first hydrogen concentration detection probe and a second hydrogen concentration detection probe which are respectively arranged at two different positions of a monitored area to form a space complementation detection network; the signal processing unit is electrically connected with the two probes and is used for receiving and processing the concentration signals output by the probes; the quick response control module is used for calculating the hydrogen concentration change rate in real time based on an output result of the signal processing unit; the grading early warning module is used for generating different grades of early warning signals according to the hydrogen concentration change rate and the absolute concentration value; the communication interface module is used for transmitting the early warning signal to a remote monitoring terminal; the multi-physical-field parameter change of the electrolyte can be sensed in real time, the control instruction is dynamically corrected, and the anti-interference capability is high.

The invention relates to the technical field of electrical equipment manufacturing, and discloses a high-low voltage electrical cabinet continuous processing abnormity rapid response system. The system comprises a processing data acquisition module for acquiring sensor signals, process parameters and other elements and establishing a time sequence processing data unit; the edge calculation preprocessing module retrieves preprocessing rule terms according to the time sequence data unit and calculates a preprocessing complexity factor to judge data quality; the abnormal feature extraction module is used for calculating a cross-time-period feature association closeness index based on the multi-time-series data unit and constructing a multi-time-period feature association map; and the response strategy generation module is used for judging and generating a comprehensive abnormal response prompt in combination with the map and the data preprocessing state. In addition, the system can also be provided with an abnormal data storage module and an edge node cooperation module, abnormal data storage and cross-node cooperation analysis are realized, processing abnormity can be quickly responded, and the processing efficiency and accuracy are improved.

The present invention provides an ultrafast hydrogen response sensing structure based on an RC differential thin film circuit, belonging to the field of gas sensor technology. The structure comprises a thin film resistor hydrogen sensing unit, a voltage divider / heating thin film resistor, an RC differential thin film circuit, and four lead electrodes. The RC differential thin film circuit includes an RC differential thin film capacitor and an RC differential thin film resistor. The RC differential thin film capacitor comprises a first electrode, a dielectric layer, and a second electrode. The first lead electrode is connected to the first electrode via the voltage divider / heating thin film resistor; the second lead electrode is connected to the first electrode via the thin film resistor hydrogen sensing unit; the third lead electrode is a voltage output terminal connected to the second electrode; and the fourth lead electrode is connected to the second electrode via the RC differential thin film resistor. The present invention achieves rapid hydrogen response and concentration detection based on the peak occurrence time and peak value of the first-order derivative output curve, greatly improves the integration of the gas rapid response system, significantly reduces the system size and power consumption, and is suitable for scenarios with different hydrogen detection requirements.

Methods and systems for improving rapid response to crisis events in a supervised care environment. A system obtains location information regarding a crisis event from a first mobile device and notifies associated team members' respective mobile devices, providing the location information. The locations of the team members' mobile devices and their respective arrival at the location of the crisis event may be tracked and recorded. Patient data and vital signs may be pushed to each mobile device, and checklists may be displayed appropriate to each members' respective role.

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.

The invention discloses an emergency energy quick response system and device, and the system is characterized in that the system comprises a power grid state sensing unit, a composite energy storage unit, a load grading manager, a dynamic power coordinator, an intelligent switching execution mechanism, a quick deployment carrier, an intelligent load manager, and a power grid state sensing unit; monitoring the voltage, frequency and distortion rate of the power grid in real time; the composite energy storage unit is formed by combining a power type energy storage element and an energy type energy storage element; the load grading manager is used for configuring different response strategies according to the importance difference of the equipment; the dynamic power coordinator is used for adjusting the output ratio of each element in the composite energy storage unit in real time; the rapid deployment carrier supports two forms of a mobile rapid response vehicle and a fixed energy station; the intelligent switching execution mechanism adopts a dual-channel structure in which a solid-state switch and a mechanical switch work cooperatively; and the intelligent load manager executes a hierarchical power supply strategy according to a preset priority. Stable power output can be provided and started in a short time.

This invention relates to the field of electrical equipment manufacturing technology and discloses a rapid response system for continuous processing anomalies in high and low voltage electrical cabinets. The system includes: a processing data acquisition module, which collects sensor signals, process parameters, and other elements to establish time-series processing data units; an edge computing preprocessing module, which retrieves preprocessing rule clauses based on the time-series data units and calculates a preprocessing complexity factor to determine data quality; an anomaly feature extraction module, which calculates a cross-time period feature correlation density index based on multiple time-series data units and constructs a multi-time period feature correlation map; and a response strategy generation module, which combines the map and data preprocessing status determination to generate a comprehensive anomaly response prompt. Furthermore, the system can also include an anomaly data storage module and an edge node collaboration module to realize anomaly data storage and cross-node collaborative analysis, enabling rapid response to processing anomalies and improving processing efficiency and accuracy.

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.