418 results about "Emergency response" patented technology

This utility model belongs to the field of electric disconnect switch technology, and in particular, it is an electric disconnect switch that is easy to maintain. It includes a base, a main shaft running through the inner wall of the base, and a driven gear fixedly connected to the outer wall of one end of the main shaft. A drive gear meshes with the outer wall of the driven gear, and a servo motor is mounted on the outer wall of one side of the drive gear. Equally spaced connecting rods are welded to the outer wall of one side of the main shaft, and a transmission rod is hinged to the outer wall of one side of the connecting rods. This utility model solves the operational difficulties when the electric drive fails by setting a fixed connection structure between the handle and the main shaft, improving the emergency response capability of the equipment. The first and second contacts are fixed to the base by the first and second insulators respectively, making disassembly and assembly convenient. Furthermore, the linkage design between the relay and the servo motor can monitor the motor's operating status in real time, avoiding overload damage, reducing maintenance difficulty and cost, and solving the problems of low maintenance efficiency and high maintenance costs of traditional equipment.

The application discloses a correction method and device of a seismic disaster personnel casualty assessment model and a storage medium, and relates to the technical field of disaster emergency management. By constructing an emergency preparedness index and an emergency response index as a nonlinear attenuation correction factor, the traditional assessment model's defects of relying on expert experience for manual correction and lacking in automation and intelligence are overcome. The coupling correction formula takes the nonlinear attenuation correction factor as the core, and through the multiplication coupling of independent double indexes, the synergistic attenuation effect of emergency preparedness and emergency response is accurately reflected. Through a closed-loop optimization mechanism, highly reliable data support is provided for emergency command. The correction process not only outputs personnel casualty prediction values, but also quantitatively diagnoses regional resilience by generating an emergency preparedness index and an emergency response index, so that emergency plans can be optimized, rescue force deployment can be adjusted or popular science drills can be strengthened, thereby directly serving the active prevention and control and rapid recovery goals of a resilient city.

This invention discloses an integrated illuminated tear gas defense device and its linkage control method, belonging to the technical field of police non-lethal defense equipment and civilian emergency self-defense equipment. The device includes an integrated flat cylindrical shell, a highly directional lighting module, a dual-compartment independent storage module, a dual-position physical interlock control component, a spray execution module, a high-rate battery, a control chip, status indicator lights, and a front-end window-breaking device. The control component includes a left-right toggle switch and a rear push-button switch, which can stably switch between the left position for lighting duty and the right position for defensive combat, achieving functional interlocking. The lighting module is centrally located, with its light output axis coaxial with the tear gas spray holes on both sides, automatically remaining constantly lit in defensive mode to form an aiming reference; the indicator lights are constantly lit in green for lighting mode and constantly lit in red for tear gas mode, automatically activating standby after 1 minute of inactivity. This invention can be operated entirely with a single thumb, with zero risk of accidental touch, requiring no professional training for accurate use, and combining lighting, optical suppression, precise defense, and emergency obstacle breaching functions, adapting to the emergency response needs of multiple scenarios in police combat and civilian self-defense.

This invention provides a method for calculating train emergency waiting load considering dynamic power, belonging to the technical field of emergency power supply load calculation for high-speed trains. For train emergency waiting conditions, this invention establishes a unified calculation framework for coordinated power supply from AC power batteries and DC batteries. Under the premise of prioritizing basic load protection, it comprehensively considers the dynamic power change characteristics of the load, real-time remaining power, equipment fault status, and cumulative operating time, forming a complete calculation process from parameter preset, real-time status acquisition, power demand calculation to iterative output of remaining time. This achieves a relatively accurate assessment of emergency oxygen production, emergency air conditioning, and overall remaining waiting time. This invention enables precise calculation of the remaining available time of the load under emergency waiting conditions, providing reference and suggestions for drivers' emergency response.

The application relates to the technical field of medical information, and discloses a postoperative pain rehabilitation nursing data management system for a rehabilitation medical department, which comprises nine processing modules. A multidimensional data dynamic acquisition module is responsible for collecting postoperative pain related data of patients. A cross-platform data interaction module realizes data intercommunication and synchronization among multiple platforms in the system. A data encryption module performs encryption processing on collected sensitive data. A data analysis module calculates a pain comprehensive score and a rehabilitation progress index. A pain risk real-time early warning module performs real-time monitoring on the pain condition of a patient. An intelligent intervention scheme generation module generates a personalized pain intervention scheme. A pain rehabilitation evaluation module performs systematic evaluation on the pain rehabilitation process of a patient. A nursing feedback module collects feedback information of a patient on pain nursing service. A system emergency disaster recovery module provides a system-level disaster recovery backup and emergency response mechanism.

This invention belongs to the field of intelligent maritime surveillance technology, specifically a smart waterway monitoring and management system based on light beacons. It synchronously acquires multi-source heterogeneous information about vessels through integrated light beacon equipment, performs spatiotemporal registration and target association processing on this information, generates dynamic vessel trajectories, and extracts static attributes, motion behavior characteristics, visual activity characteristics, and environmental interaction characteristics. Utilizing a multi-evidence chain collaborative decision-making mechanism, it accurately identifies four fundamentally different vessel states: normal anchoring, illegal anchoring, active navigation, and uncontrolled dragging of anchor. This achieves a leap from state perception to behavioral cognition, significantly improving the accuracy of vessel anchoring identification and its robustness in complex scenarios. Based on the identification results, it triggers differentiated alarm strategies matching the state, generating handling instructions with reasons for the state determination, thereby greatly optimizing the allocation of surveillance resources and improving emergency response efficiency.

The application relates to the technical field of coal mine safety monitoring, and discloses a multi-modal data fusion digital mine pressure monitoring method, device and electronic equipment. The method first drives distributed optical fibers, microseismic detectors, cameras and other heterogeneous sensors through a data acquisition module to synchronously acquire overburden movement and support response data of a fully mechanized working face. Subsequently, the data processing module completes cleaning and feature extraction, and inputs the data into an intelligent analysis module with an embedded attention mechanism and a long short-term memory network to deeply mine the space-time evolution law of mine pressure and output real-time pressure probability. The system determines the risk level according to the probability interval and executes hierarchical linkage: low risk maintains normal monitoring, medium risk prompts strengthened patrol, and high risk directly triggers an audible and light alarm and automatically interlocks to cut off the equipment power to forcibly evacuate people. The application effectively overcomes the limitations of single-source monitoring, significantly improves the accuracy of roof disaster early warning and the timeliness of emergency response through multi-modal deep fusion and automatic interlocking control.

The application discloses a host system security emergency response method and device, equipment and medium, and relates to the technical field of network security. The method comprises the following steps: receiving attack trace encrypted data packets; the attack trace encrypted data packets are obtained by performing format conversion and encryption compression on target collected data through a local portable collection program of a target host; the target collected data are obtained by performing attack trace extraction in an offline or online manner based on a preset attack trace collection knowledge graph through the portable collection program; after the attack trace encrypted data packets are decrypted, data cleaning and formatting are performed to obtain attack trace data dictionaries; a preset data analysis model is used to identify security abnormal behaviors according to the attack trace data dictionaries, and an attack behavior relationship graph is obtained by reconstructing an attack chain timeline; the preset data analysis model comprises a preset rule engine and a preset large language model reasoning engine; and a security analysis report is generated based on the attack behavior relationship graph, so that security emergency response operations can be performed.

An automated external defibrillator (AED) management system includes an AED information database including location information for a plurality of AEDs, and contact information for notifying an owner or administrator of a respective AED. The system further includes a notification system communicatively coupled to the AED information database, the notification system configured to receive a request to alert responders in a vicinity of a cardiac arrest victim, receive a location of the cardiac arrest victim, identify at least one AED located in the vicinity of the cardiac arrest victim from the location information for the plurality of AEDs, provide an alert to the owner or administrator of the at least one AED located in the vicinity of the cardiac arrest victim based on the contact information, wherein the alert comprises a request for the owner or administrator to bring the AED to the location of the cardiac arrest victim.

The system comprises a data access module, a power grid flood disaster field knowledge graph, a digital twin body environment, and a digital twin body agent (DTA), a monitoring and early warning agent (MWA), a fault diagnosis agent (FDA) and a case handling agent (CHA). The DTA provides simulation deduction services. The MWA generates a flood field and a device-level risk list using a physical model chain. The FDA predicts device failure probability using a GWO-BPNN model. The CHA retrieves cases based on the knowledge graph to generate a scheme, and requests the DTA to perform virtual deduction and iterative optimization. The application interaction layer integrates visual output. The application realizes a full-process closed-loop intelligent decision from disaster perception, risk diagnosis, scheme generation to virtual pre-performance, solves the problems of insufficient early warning accuracy, static risk evaluation and lack of forward-looking verification of the disposal scheme, and improves the emergency response capability and decision scientificity of the power grid in response to flood disasters.

This utility model discloses a color-coded multi-functional tee and extension tube connection device, including a straight-through multi-way valve and a first extension tube. The straight-through multi-way valve has a first port, a second port, and multiple bypass ports. The first port and the second port are located at opposite ends of the straight-through multi-way valve. The multiple bypass ports are spaced apart axially along the straight-through multi-way valve. The first extension tube is fixedly connected to the first port. The straight-through multi-way valve is equipped with multiple switch knobs, each corresponding to one of the multiple bypass ports, used to control the opening and closing of the corresponding bypass port. Each switch knob is marked with a different color. This color-coded multi-functional tee and extension tube connection device enables intuitive differentiation of multiple bypass ports, improves identification, and enhances medical safety and emergency response efficiency.

This invention relates to the field of emergency response simulation technology, specifically disclosing a highly efficient emergency response plan optimization and intelligent reasoning method and system. The method includes: real-time access to data streams from physical sensors, social media, and public databases to construct a panoramic view of the emergency situation; constructing an emergency knowledge graph based on the panoramic view and a pre-defined domain ontology; identifying graph substructures that conform to pre-defined graph features within the emergency knowledge graph, and reading the corresponding emergency action plans to generate at least one comprehensive plan; performing deduction and optimization on the generated comprehensive plan, selecting and applying the optimal action plan, monitoring the application data of the optimal action plan in real time, and recursively updating the deduction process. This invention standardizes the data stream and determines the knowledge graph reflecting the scenario state based on the standardization results, resulting in highly readable data and extremely high efficiency in outputting emergency response plans.

This invention discloses a coupling protection method and an intelligent coupling. The protection method acquires the coupling's operating status signal in real time, and the control unit independently and in parallel executes trend prediction analysis and real-time over-limit monitoring analysis. These two analyses do not wait for each other and trigger protection independently. If either analysis meets the trigger condition, a protection command is executed to cut off or reduce torque transmission. After the overload risk is eliminated, the coupling automatically resets after a delayed confirmation. The intelligent coupling includes a status detection element, a control unit, an execution unit, and a transmission locking mechanism. The transmission locking mechanism can switch to multiple graded protection states such as fully disengaged, slipping, and partially disengaged. It also features adaptive self-learning, fault emergency response, and multi-mode power supply and communication functions. This invention combines overload prediction protection with real-time response, comprehensively covering both gradual and sudden overloads, improving the safety and reliability of the transmission system, and is suitable for various industrial heavy-duty and precision transmission scenarios.

This invention provides a safety assurance method and system for unmanned aerial vehicles (UAVs) used for medical examinations of high-rise buildings in cities. The method includes: continuously monitoring the flight parameters of the UAV, sampling the flight parameter data at a frequency of ≥100Hz, and performing fusion processing using a Kalman filter algorithm; employing a fault diagnosis algorithm, based on a dual judgment mechanism of threshold and trend analysis, to analyze the collected flight parameter data in real time; comparing power redundancy and attitude stability indicators with preset thresholds to determine the fault level, and performing graded emergency handling according to the fault level, triggering corresponding handling and response strategies for non-catastrophic or catastrophic faults; after the UAV lands, confirming the safety of the landing point through visual SLAM or GPS positioning, and initiating onboard communication to report the status. This invention provides a complete solution from fault prevention to collision buffering through redundant design, graded emergency response, and dual-level protection, maximizing the protection effect and facilitating industrial implementation and verification.

The application discloses a kind of based on layered funnel model exception detection and alarm method, device and equipment and storage medium, it is related to data processing technical field, it discloses based on layered funnel model exception detection and alarm method, comprising: to initial log data is carried out data processing, obtains structured log data;According to the structured log data and layered funnel model is carried out layered monitoring, obtains layered monitoring data, wherein the layered monitoring data includes aggregation monitoring layer data, convergence monitoring layer data and node monitoring layer data;According to the layered monitoring data is carried out exception detection, obtains exception detection result;According to the exception detection result generates hierarchical alarm information.Application scheme can improve the accuracy of exception detection and fault emergency response efficiency, while the dynamic adjustment of organization structure of adaptive mechanism can reduce the operation and maintenance management cost of monitoring system.

This invention provides an emergency response processing device and emergency response support method that assist service-recipient organizations in properly implementing their business continuity plans and disaster prevention plans. [Solution] The system includes a receiving means for receiving emergency alerts and a processing means for issuing action requests to predetermined terminal devices associated with the target organization upon receiving an emergency alert. The action requests are instructions that correspond to the target organization's predetermined business continuity plan. The action requests are instructions for evacuation guidance.

This invention discloses a method for early warning and decision-making regarding earth pressure risk in subway shield tunneling construction, relating to the field of shield tunneling technology. The method includes the following steps: S1, acquiring data to construct a control benchmark system and generating a weight vector; S2, collecting datasets and conducting evaluations to obtain comprehensive state indicators, then benchmarking them against the control benchmark system to identify earth pressure anomaly types, determine risk control levels, and match alternative control measures; S3, constructing an optimized decision-making model and calculating the cost-risk balance coefficient; S4, prioritizing each alternative control measure, generating early warning signals and control decision schemes, and simultaneously collecting effect data; S5, dynamically iteratively updating the control benchmark system and the optimized decision-making model based on the effect data. This invention simplifies the emergency response process for earth pressure risk by constructing an early warning and decision-making method for earth pressure risk in subway shield tunneling construction, improving the accuracy and response speed of earth pressure risk control.

This utility model relates to the field of electronic lock technology, specifically an unlocking mechanism and a passive intelligent lock for power plant equipment maintenance and isolation. It includes a lock body, a lock rod movably disposed inside the lock body, and a battery disposed inside the lock body; an engaging assembly including a drive component disposed inside the lock body, a lifting component movably disposed on the outer wall of the drive component, and a locking component movably disposed on the outer wall of the lifting component. This utility model, by setting up the engaging assembly, enables a motor to drive a cam to rotate, causing the lifting rod to descend under the action of a first elastic component, and further contraction of a second elastic component to disengage the protrusion from the groove, thus completing the unlocking action and enabling rapid release in emergency situations. Furthermore, it achieves remote control of the lock via a Bluetooth connection between a mobile app and the key, effectively preventing unauthorized intrusion, enhancing security, and allowing for rapid unlocking in emergency situations, improving emergency response efficiency.

The utility model belongs to gas leakage detection technical field, concretely relates to a device for detecting chemical process gas leakage, including detection shell, the side of detection shell is connected with the shell cover through bolt screw thread, the inner wall fixed connection of detection shell has annular support plate, the top of annular support plate is provided with detection test paper, the inner wall fixed connection of shell cover has two connecting rods, the bottom of two connecting rods is all fixedly connected with the pressure block, the top fixed connection of shell cover has handle, the bottom of detection shell is equipped with the vent, the side of detection shell is provided with the fan device for accelerating the flow rate, the fan device includes motor. The utility model solves the detection device under winter condition, the flow rate of gas is slow, can lead to the existence of gas leakage detection needing longer time to confirm gas leakage, the delayed detection of gas leakage seriously influences the speed and effect of emergency response problem.

This invention relates to the field of subway security monitoring and video transmission technology, specifically a subway security monitoring video rapid retrieval and multi-channel transmission optimization system. The system includes: an analysis module for extracting feature sets of multi-source heterogeneous metadata within the subway station and matching them with abnormal event templates to obtain a matching confidence level; if the matching confidence level exceeds a preset threshold, an abnormal event is determined and an event feature identifier is output; based on the event feature identifier and combined with spatial and scene information in the metadata, the scope of influence and associated paths of the event are determined; based on the scope of influence and associated paths, a target device retrieval list containing device identifiers, spatiotemporal weights, and initial priorities is obtained. This invention achieves intelligent perception through multi-source data fusion, dynamic resource allocation through scheduling and channelization, and ensures stable delivery of streaming media through adaptive encoding and reliable transmission, thereby comprehensively improving the emergency response capability of the subway security monitoring system.

This application provides a rail transit safety risk management and control system, which includes: a historical resource database module for storing and managing historical cases related to rail transit safety risks; a flood control situation map module for overlaying and rendering rail transit network layers and dynamic meteorological layers on a high-precision GIS map; a two-layer command simulation module that restricts different operators to separately perform the reporting and tracking of single-line event information and the centralized review and cross-line dispatching of events on multiple lines; and an emergency management module for transforming structured flood and typhoon prevention emergency plans into interactive digital dashboards and dynamic flowcharts. By constructing an integrated platform that combines intelligent historical case mining, spatiotemporal visualization of risk situations, hierarchical collaborative command simulation, and digital emergency plan drills, this system optimizes global situational awareness, scientific decision support, and efficient emergency response capabilities in the face of systemic risks such as flood and typhoon prevention.

This invention provides a method and apparatus for automatically converting emergency response plan knowledge graphs for urban power grid substations, relating to the field of knowledge graph construction and knowledge representation technology. The invention employs automatic text recognition and element extraction methods. By preprocessing and parsing document content, key semantic elements are extracted from valid statements based on predefined modules and mapping tables. The extracted content is then imported into the Neo4j graph database using a CSV file as an intermediary, ultimately achieving automatic conversion of emergency response plan knowledge graphs for urban power grid substations. This invention effectively regularizes and formalizes complex emergency response plan texts into a knowledge graph structure, simplifying fault operation query methods and improving the efficiency of emergency response plan knowledge representation. Ultimately, this invention enables rapid querying of emergency response plan decision-making steps after a fault in an urban power grid substation, improving the power grid's recovery capability.

This invention relates to the field of smart station technology, and more particularly to a smart station emergency decision-making method based on a multimodal large model and knowledge graph. The method includes: acquiring multi-source heterogeneous data from the smart station; using a semantic segmentation strategy and a text generation model to transform the multi-source heterogeneous data into semantic descriptive text; inputting the semantic descriptive text into a trained large language model to extract local keywords; performing fusion-based graph node matching using the local keywords based on a semantic-topological dual-path index established by a pre-constructed event knowledge graph to obtain matching results; performing hierarchical confidence assessment and status labeling based on the matching results to obtain final abnormal nodes; and generating and outputting an emergency response plan for the abnormal event based on the final abnormal node and the pre-constructed event knowledge graph. This invention improves the intelligence, collaboration, and efficiency of emergency response.

This invention discloses a method, equipment, and medium for safety protection and emergency response of a liquid nitrogen fire extinguishing system. The method includes deploying an environmental monitoring network, collecting temperature distribution data and smoke particle concentration, establishing a graded early warning threshold model, and when the temperature distribution data or smoke particle concentration data triggers a risk level, the central controller outputs an alarm signal of the corresponding level. Based on the alarm signal level, the central controller automatically activates the linked ventilation protection device and simultaneously triggers an emergency isolation procedure, recording environmental monitoring network data, alarm logs, and the operational status of rescue sub-equipment, generating a standardized handling record. This invention's system self-check response time is reduced by 70.6% compared to traditional systems, and the fault identification accuracy is improved by 23.1%. It solves the problems of low self-check efficiency, inaccurate fault identification, incomplete records, and inconvenient querying in traditional systems, providing complete data support for subsequent system maintenance, fault diagnosis, and technical optimization, and improving the system's practicality and maintainability.

This invention relates to the field of low-altitude emergency response technology and discloses a method for joint scheduling optimization of heterogeneous equipment for low-altitude emergency response tasks. The method includes: obtaining a task set and a set of heterogeneous equipment for the low-altitude emergency response task; constructing a dual-objective joint scheduling model for the low-altitude emergency response task based on the task set and the heterogeneous equipment set; performing non-dominated sorting optimization on the dual-objective joint scheduling model to generate a Pareto optimal solution set for the low-altitude emergency response task; executing the scheduling scheme in the Pareto optimal solution set; and monitoring the heterogeneous equipment of the low-altitude emergency response task in real time based on a preset dynamic rescheduling mechanism to obtain triggering events for the heterogeneous equipment; dynamically rescheduling the scheduling scheme based on the triggering events to generate a scheduling update scheme for the low-altitude emergency response task. This invention can improve the overall success rate, resource utilization efficiency, and system robustness of low-altitude emergency response tasks.

This invention discloses a method and system for monitoring and alarming the operation of new energy power station equipment, relating to the field of equipment operation monitoring technology. The method includes: collecting multi-dimensional telemetry and teleindication data from multiple devices within the power station to construct a time-series data stream; training a deep probabilistic reconstruction model based on historical normal operation data, calculating reconstruction errors, and triggering potential fault warnings; extracting multi-dimensional time-series data from the time-series data stream, initiating spatiotemporal causal tracing analysis, and generating a fault propagation chain; and performing directed graph visualization to generate an explanatory warning report containing the root cause device, fault propagation path, and handling suggestions. This invention solves the technical problems in existing technologies, such as threshold-based alarms leading to delayed warnings, difficulty in automatically identifying fault root causes from multi-device associated alarms, and a lack of spatiotemporal causal reasoning and visualization capabilities. It achieves the technical effects of improving early potential fault perception capabilities, fault root cause location accuracy, alarm interpretability, and emergency response efficiency.

This utility model discloses a chemical spill cleaning and neutralization treatment device for chemical production lines, comprising several treatment modules connected sequentially to enclose a working area. Each treatment module includes a detection mechanism and a multi-stage filtration and adsorption mechanism. The multi-stage filtration and adsorption mechanism includes a platform and a selective adsorption layer. The modular design facilitates rapid enclosure of the working area, effectively controlling pollution spread. Based on the multi-stage filtration and adsorption mechanism, especially the selective adsorption layer, it can specifically treat hazardous substances. Combined with a general adsorption layer, rinsing mechanism, and neutralization mechanism, it achieves rapid response and efficient treatment, significantly improving the emergency response efficiency and safety of chemical spill accidents on chemical production lines, reducing environmental and personnel risks. Furthermore, the structure is more rational and compact, occupying less space and is easy to operate.

This application relates to the field of autonomous driving technology and discloses an emergency control method, system, and device for autonomous driving. The method includes: real-time collection of vehicle operating status information, determination of fault type, and assessment of fault level; collection and fusion of environmental data using multiple sensors to obtain comprehensive environmental parameters; generation of an emergency response strategy based on the fault type, level, and comprehensive environmental parameters; control of the vehicle according to the strategy and issuance of a warning to the driver; monitoring of vehicle status and driver response status, and adjusting the emergency response strategy accordingly. This application overcomes the shortcomings of fixed strategies in existing technologies by combining fault level and comprehensive environmental parameters to generate a strategy, enabling emergency measures to be dynamically adjusted according to road conditions and fault severity. Furthermore, by real-time monitoring of driver response and adjustment of the strategy, a human-machine collaborative safety redundancy is formed, effectively avoiding secondary accidents caused by driver failure to take over in time or deterioration of vehicle status, significantly improving the safety of autonomous driving.

This invention relates to the field of emergency hazard mitigation technology in water conservancy projects, and in particular to a method for controlled release and hazard mitigation of landslide-dammed lakes based on erosion benchmark protection. The method includes: calculating the allowable breach height of the landslide-dammed lake based on the dam length, dam volume, and reservoir capacity corresponding to the protection elevation; determining the erosion benchmark protection elevation based on the allowable breach height; calculating the cross-sectional dimensions of the spillway based on the determined maximum breach flood peak flow; and laying a temporary spillway based on the erosion benchmark protection elevation and the cross-sectional dimensions of the spillway. This invention achieves safe and controllable release of water from landslide-dammed lakes, improves the safety and efficiency of emergency hazard mitigation, effectively avoids downstream flood disaster risks, and is applicable to various landslide-dammed lake emergency response scenarios.