144 results about "Emergency response systems" patented technology

The invention relates to the technical field of smart park integrated management, and discloses a smart park comprehensive management and control system and method based on multi-modal data analysis, and the method comprises the steps: obtaining a park multi-dimensional real-time data flow, and extracting a current situation feature vector and a personnel distribution thermodynamic diagram; analyzing the historical emergency event data sequence by using a space-time convolutional neural network, and outputting an event type identification vector; and generating a dynamic evacuation path planning and resource scheduling scheme based on a graph optimization algorithm, constructing a minimum cost flow optimization problem taking the weighted sum of time cost and waiting time as a target function, and solving to obtain an optimal people flow allocation scheme. The problem that emergency response cannot adapt to dynamic environment changes is solved. Experiential knowledge cannot be effectively inherited and utilized. And the emergency response system is slow in response and improper in resource allocation.

The invention discloses an AI multi-agent layered hierarchical emergency response system supporting an elastic power grid, and relates to the technical field of substation power response, the AI multi-agent layered hierarchical emergency response system comprises a global situation awareness module, a regional autonomous control module and an equipment toughness execution module, the global situation awareness module integrates multi-source disaster monitoring information, establishes a disaster chain deduction model, and sends the disaster chain deduction model to the regional autonomous control module; quantifying regional disaster intensity and generating a risk map; the regional autonomous control module extracts a high-risk region to divide a balanced island, realizes second-level splitting and black start through an intelligent agent, and constructs an autonomous stability coefficient to evaluate the stability of the island; and the equipment toughness execution module identifies a potential fault area, drives an intelligent agent to dynamically reconstruct a power grid topology, links distributed energy to perform differential energy supplementation according to a load gap, and calculates a recovery speed coefficient to judge the core load recovery quality. The system improves disaster pre-judgment precision and emergency response efficiency, ensures reliable power supply of medical and industrial core loads, and enhances disaster resistance elasticity of a power grid.

The invention relates to the technical field of path planning, in particular to a multi-agent dynamic nuclear emergency evacuation path planning method and system based on deep reinforcement learning. In particular to a multi-agent optimization path generation and dynamic adjustment method based on a deep reinforcement learning technology, and aims to improve the real-time performance, the safety and the execution efficiency of a public evacuation path in an emergency nuclear event. According to the scheme, the optimal evacuation path is automatically explored through deep reinforcement learning, a path model does not need to be manually preset, complex factors such as pollution dynamic diffusion and traffic jam under the nuclear accident scene can be dealt with, and the efficiency and safety of emergency evacuation path planning are greatly improved. The system is suitable for public emergency response systems in high-risk environments such as nuclear accidents, earthquakes, fire disasters and urban explosions.

The invention relates to a multi-source alarm fusion emergency system linkage disposal method. The method comprises the following steps: acquiring a multi-dimensional heterogeneous sensing data stream in a monitoring area and generating a basic evidence set object; calculating a global conflict quantitative index and performing adaptive confidence correction on the high-conflict evidence; performing weighted fusion on the corrected evidence by using the dynamically updated sensor reliability weight vector to generate a target safety state probability; determining an alarm response level according to the probability and driving equipment to respond cooperatively; and finally, iteratively updating the sensor weight based on the execution feedback data. The method has the advantages that accurate fusion judgment of multi-source heterogeneous evidences in a complex interference environment is achieved, and it is ensured that the system has the self-adaptive adjustment capacity for sensor performance changes.

The invention relates to the technical field of intelligent old-age care and health monitoring. The invention provides a tumble detection and emergency response system for the elderly at home based on multi-modal sensing fusion, and the system comprises a sensing module which is used for collecting the multi-modal data of the elderly and at least comprises a depth camera array, an inertial measurement unit, a millimeter wave radar, an audio sensor array, and a pressure sensing pad; the decision-making module is used for receiving, synchronizing and processing the multi-modal data, comprises a dynamic confidence fusion engine and is used for calculating a dynamic confidence score for the data streams acquired by the sensing module in real time and carrying out information fusion through a collaborative game algorithm based on the dynamic confidence score of each data stream to obtain a multi-modal data fusion result; generating a fall detection decision with a situation tag; and the response module is used for executing grading emergency response operation and comprises a local alarm unit, a remote communication unit and an interface unit linked with a community service and emergency center.

A system for real-time prediction of heart disease and to support clinical decisions; the system includes: a patient data acquisition module configured to receive multimodal inputs, including physiological signals selected from electrocardiographic waveforms, blood pressure readings, heart rate readings, and oxygen saturation readings, as well as demographic and lifestyle information, including age, gender, cholesterol levels, smoking habits, and family medical history; a preprocessing engine configured to perform data cleansing, imputation of missing values, categorical coding, and feature scaling, so that the input data is normalized and converted into a format suitable for machine learning; a processing core comprising a multi-core CPU / GPU system-on-chip operationally coupled with a secure storage unit, wherein the processing core is configured to execute a variety of pre-trained machine learning models, including Naive Bayes, Random Forest, Logistic Regression and Decision Tree classifiers; a model evaluation unit configured to calculate validation metrics such as precision, recall, F1 score and area under the curve for each of the models and dynamically select the model with optimal performance to generate real-time predictions for the risk of heart disease; a display interface configured to present predictive results in the form of risk probability values, confidence indices, and actionable recommendations that are mapped to clinical treatment guidelines; and a communication interface configured to transmit emergency alerts based on high-risk predictions to remote caregivers, hospitals, and emergency response systems via wireless communication protocols such as WLAN, Bluetooth, and 4G / 5G cellular connections.

The invention relates to an emergency processing system and method for atmospheric pollution source influence based on DeepSeek, and belongs to the technical field of environmental monitoring, and the method comprises the steps: collecting atmospheric pollutant concentration data, meteorological data and basic information data of surrounding buildings; preprocessing the data; carrying out deep analysis on the preprocessed data based on a DeepSeek model, and judging whether to trigger early warning or not and the early warning degree in combination with a pollutant exceeding standard knowledge base; when abnormal data is found, the constructed knowledge base is retrieved; combining the data retrieved by the knowledge base; the current atmospheric pollution and building influence conditions are retrieved and compared with existing plan cases; and a detailed alarm condition is output, and a targeted emergency plan is generated at the same time. According to the method, based on the DeepSeek data analysis and learning ability, the influence of multiple factors is fully considered, the position of the influenced building is accurately identified, the influence degree is evaluated, and a more reliable basis is provided for environment decision making.

A cloud-based intelligence to emergency evacuation systems using Wi-Fi access points over data communication systems. A layout of emergency exits for a building being monitored and AP locations within the building layout is configured. A density map is generated from a number of stations within radio range of each AP including stations that are connected and stations that are not connected. An emergency that requires evacuation of people from the building from an emergency system associated with the building is detected. In response, an optimal evacuation route from each AP based on the density map and the building layout is generated. Evacuation instructions for each AP can be displayed on the stations within range of each AP.

The invention relates to the technical field of engineering safety monitoring, in particular to an engineering safety monitoring system and method.The method comprises the steps that an intelligent monitoring terminal collects original data in a graded mode through a multi-mode sensing array, and core parameters are reserved preferentially after the original data are preprocessed through an edge computing unit; the dynamic data transmission module implements differential transmission according to data importance, high-priority parameters are transmitted through an encryption channel, and conventional parameters are transmitted through a universal Internet of Things channel; the self-adaptive data processing unit is internally provided with a dynamic threshold model fusing engineering mechanics characteristics and an anomaly recognition algorithm, and is used for processing transmission data to recognize anomaly; the grading early warning and linkage disposal module receives the abnormal result through a data interaction protocol, generates a corresponding disposal instruction and is in butt joint with an existing emergency system to achieve reuse. Therefore, the problems of low data processing efficiency, insufficient anomaly recognition accuracy, poor system suitability and the like in existing engineering monitoring are solved, and the reliability and response speed of engineering safety monitoring are improved.

The invention belongs to the technical field of emergency management, and discloses a three-proofing emergency command method and system based on meteorological big data. Comprising the following steps: collecting disaster meteorological associated data, and identifying meteorological evolution modes corresponding to various disasters; collecting current meteorological data and environment state data in real time, and generating a three-proofing risk progressive curve; acquiring weather forecast data, calculating weather similarities between the weather forecast data and the weather evolution modes, predicting disaster risk factors of various disasters in combination with a three-proofing risk progressive curve, and determining intervention disasters; according to disaster risk factors of the intervention disaster, feasible time periods and expected effects of different artificial influence weather operations are analyzed; the optimal operation type and the optimal time window are intelligently identified, three-proofing emergency resources are intelligently scheduled, and a preventive resource deployment scheme is generated; according to the invention, a full-chain intelligent three-proofing emergency command system is constructed, and the technical bottlenecks of a traditional emergency system in the aspects of early warning timeliness, intervention capability, resource allocation and the like are broken through.

The invention relates to a mine area collaborative early warning and emergency response system based on'scene-quick response chain-disposal ', and belongs to the technical field of mine safety intellectualization. The system adopts a'distributed deployment and centralized management and control 'mode, and covers five-layer architecture of perception, transmission, data, decision and application. Through the technologies of multi-dimensional perception, high-reliability communication, intelligent decision making and the like, the problems of response lag, unsmooth information, low decision making efficiency and the like in traditional emergency response are solved. Around the targets of cross-subject information intercommunication and the like, multi-subject efficient linkage is realized through full-process logic. The system also has the functions of redisk optimization and rule iteration, can continuously improve the emergency response capability, and provides powerful technical support for the emergency response of a mine area.

The invention relates to the technical field of heat dissipation of electronic equipment, in particular to a chip heat dissipation optimization system based on a multi-layer stacking structure. A heat conduction module; a heat dissipation module; a heat recovery module; the temperature monitoring and control module monitors the temperature of each layer of chip and the temperature difference of an inlet and an outlet of cooling liquid in real time, judges the working state of the whole system and controls the whole system; by arranging the heat conduction and heat dissipation modules, adopting heat conduction pores in gradient distribution and a mixed phase change material, and combining a nano-porous graphene substrate, cooperation of hot spot rapid heat conduction and non-hot spot buffer energy storage is achieved, the defect that a traditional phase change material is single is overcome, the dual-mode cooling pore channel design is achieved, seamless switching between a conventional system and an emergency system is achieved, and the energy storage efficiency is improved. The heat dissipation capacity is greatly improved, 0.1 mm resolution ratio temperature field reconstruction is achieved through the temperature monitoring and control module, hot spots are predicted 300 ms ahead of time, and temperature control is more accurate.

There is disclosed a method of controlling a helicopter (1) comprising: at least one thermal engine (11); at least one rotor (3), which is operatively connectable to thermal engine (11) to be drive, in use, at a set rotational speed (ωSET); an emergency system (40) comprising: at least one electric motor (41), which is operatively connectable to rotor (3) and an electrical power source (42), which is electrically connected to electric motor (41); the method comprises the steps of i) operatively connecting thermal engine (11) to rotor (3) and keeping electric motor (41) disconnected by rotor (3) or idle, in a normal operating condition of thermal engine (11); ii) detecting if thermal engine (11) is in at least partial failure condition; iii) accelerating electric motor (41) up to when said current rotational speed (ω) equals set value (ωSET), in case of at least partial failure of said thermal engine (11); step iii) comprises the steps of iv) sensing a plurality of parameters (ω, ωERR, ϕ, ϕERR, IIT, ττ / S, τMGB, Powerτ / S, PowerMGB) of thermal engine (11) and rotor (3); and v) identifying an at least partial failure of thermal engine (11), on the basis of parameters (ω, ωERR, ϕ, ϕERR, IIT, τ, P.

The utility model relates to photovoltaic power supply sewage treatment integrated equipment which comprises a water inlet grating, a sludge sedimentation tank, an adjusting tank, a sewage pipeline, a lifting pump, an anoxic tank, an aerobic tank, an air aeration disc, an MBR tank, a sludge reflux pump, an MBR membrane group, an aeration device, an equipment room, an MBR pump, an MBR water production pipeline, an ozone device, an ozone disinfection tower, an ozone pipeline, a standard drainage pipeline and a sludge reflux pipeline, the system comprises an air pipeline, a fan, a photovoltaic storage battery, a system control cabinet, a battery control cabinet cable, a photovoltaic panel assembly and a photovoltaic energy storage cable. The device disclosed by the utility model can realize up-to-standard discharge of treated sewage, and can efficiently remove bacteria and viruses by utilizing ozone; power of the whole system is provided by the photovoltaic panel assembly and the solar storage battery, and the system can be suitable for emergency systems, field sites and other areas without power supply conditions.

An emergency response system handles emergency calls and may identify a location associated with the emergency for routing emergency responders to the emergency. Rather than routing responders to a single location, the emergency system monitors the location of a device associated with the emergency over time, receiving changed location information for the emergency as the situation changes. The updated location is used to modify the route provided to emergency responders by updating the route to change the destination of the mapped route to the changed location of the monitored device. As such, emergency responders may automatically account for dynamic emergency situations when device locations change over time.

The invention relates to the technical field of emergency response, in particular to an intelligent old-age care service and emergency response system and method. The method comprises the following steps: collecting multi-source real-time data of a target person, extracting behavior characteristics, dividing a current behavior type, marking abnormal data, identifying the current behavior characteristics and generating a report; setting multi-level trigger conditions according to the behavior feature recognition report, generating corresponding-level emergency judgment requests, judging emergency situations through multi-dimensional fusion logic and outputting emergency judgment results; a risk-service matching mechanism is constructed according to an emergency judgment result, multiple subjects are linked, early warning and observation conditions are dynamically tracked, and services are adjusted; the system comprises a current behavior feature recognition module, an emergency judgment request module and a service providing and emergency response module. The current data is subjected to behavior feature recognition, the emergency situation judgment request is triggered according to the recognition result, and then emergency response and corresponding service providing are performed, so that the emergency response efficiency of smart pension is improved.

An emergency response system provides a map-based interface for a telecommunicator to view information about an incident and coordinate a response to the incident. The emergency response system gathers supplemental data regarding locations and other information that may be relevant in assisting with the incident. The interface may automatically select relevant supplemental information based on the incident and provide this incident-specific information for display on the interface. The user may then select a response on the interface such as a unit to dispatch that the system automatically implements, providing unified information and control for incidents, supplemental information, and incident response.

An emergency response system handles emergency calls and may identify a location associated with the emergency for routing emergency responders to the emergency. Rather than routing responders to a single location, the emergency system monitors the location of a device associated with the emergency over time, receiving changed location information for the emergency as the situation changes. The updated location is used to modify the route provided to emergency responders by updating the route to change the destination of the mapped route to the changed location of the monitored device. As such, emergency responders may automatically account for dynamic emergency situations when device locations change over time.

The invention relates to the technical field of oil delivery, in particular to an oil delivery pipeline valve and a pipeline leakage emergency system.The oil delivery pipeline valve comprises a valve body, a valve seat, a gate plate, a valve deck, a sealing assembly, a valve rod and a worm and gear speed reducing motor, the worm and gear speed reducing motor is electrically connected with the pipeline sealing emergency system, and a gap is formed between the gate plate and the end face of the valve seat; a pushing device for pushing the two gate plates to move horizontally is arranged at the lower end of the valve rod; the gate plate is connected to the bottom of the valve rod through the pushing device, the gaps exist between the working face of the gate plate and the oil inlet and the oil outlet, and the gate plate is horizontally pushed through the pushing device in the downward movement process of the valve rod so that the gate plate can be attached to the oil inlet and the oil outlet; in this way, friction between the working face of the flashboard and the end faces of the oil inlet and the oil outlet is reduced, and the problem that the sealing face of the gate valve is prone to abrasion in the opening and closing process of the gate valve is solved.

The invention relates to an intelligent charging device and method for a central emergency power supply system based on model prediction. The device comprises a charging module and a main control module. The main control module collects the real-time state of the battery, and predicts the state trend in a future time window by using an equivalent circuit model; and based on the objective function of efficiency maximization and temperature rise minimization and the security constraint, solving the optimal charging parameter sequence in a rolling manner, and outputting the first cycle parameter to the charging module to adjust the charging output. The method has the advantages that the strategy can be adaptively adjusted according to the dynamic characteristics of the battery, multi-target rolling optimization is achieved, temperature rise is effectively restrained while the charging efficiency is guaranteed, and the reliability of an emergency system is guaranteed.

In order to solve the problem of poor fault diagnosis and processing effects in the prior art, the invention provides an intelligent conference room maintenance method and system based on data analysis, and the method comprises the steps: achieving the seamless connection with a data visualization system, and monitoring the operation conditions of various devices; informing a formulated contact person through a short message, and informing a detailed alarm type, alarm content and alarm time in the short message; alarm signals are transmitted to the central control host, and the central control host is linked with related equipment to realize alarm linkage emergency. The system comprises a multi-screen interaction platform, the multi-screen interaction platform is electrically connected with a cloud server, and the cloud server is electrically connected with a data switch. According to the system, the states of part of equipment are monitored in real time through a digital technical means, an intelligent analysis algorithm is combined, all-around technical support and service guarantee are provided for system operation and maintenance, and the system operation and maintenance efficiency and the system reliability can be remarkably improved.

The invention relates to the technical field of emergency response systems, and provides an emergency event intelligent generation and management method and system based on probability triggering. The method comprises the steps of obtaining target system operation state data and an emergency event template, calculating a triggering probability value through multi-dimensional probability distribution to obtain a candidate emergency event, performing association mapping on the candidate emergency event and a resource topological structure to generate a resource conflict relation graph, and generating an execution sequence and a resource allocation scheme according to the resource conflict relation graph. And the probability distribution weight is updated or the priority rule is adjusted by utilizing the execution result feedback. The emergency event processing efficiency and the resource utilization rate can be improved, and the system response flexibility is enhanced.

The application relates to the technical field of laboratory intelligent management, and discloses a hazardous chemical laboratory supervision emergency system, which takes a central processing unit as a core, integrates seven modules of multidimensional perception, account registration, a laboratory digital twin model library, cross verification of taking and using, behavior recognition intervention, emergency response strategies and a mobile terminal interaction assistant, constructs a complete closed-loop management system from hazardous chemical taking compliance verification, personnel operation safety monitoring to intelligent emergency response, and comprehensively improves the safety management level of a hazardous chemical laboratory. The system can realize real-time linkage of data of each module, break information islands, avoid taking violations from the source, block operation risks in real time, efficiently dispose of emergency conditions, rely on the mobile terminal interaction assistant to improve emergency efficiency, comprehensively strengthen the whole life cycle supervision capability of hazardous chemicals, significantly reduce the incidence of laboratory safety accidents, improve the efficiency of event emergency disposal, and improve the intelligentization and refinement level of overall safety management.

The utility model relates to the technical field of flood early warning and emergency rescue, and discloses a flood early warning and emergency rescue system which comprises a bottom plate, a box body is fixedly installed at the top of the bottom plate, a box door is hinged to the front side of the inner wall of the box body, and a fixing pile extending to the bottom of the bottom plate is movably installed at the top of the bottom plate. The flood disaster early warning and emergency rescue system comprises a box body, the top of the box body is fixedly provided with a frame body, the top of the frame body is fixedly provided with a column body, the top of the column body is fixedly provided with a solar panel, and the flood disaster early warning and emergency rescue system is provided with a supporting mechanism, an intercepting mechanism and a fixing mechanism, and a supporting shaft rotates to drive a rotating disc and a stand column to drive a winding drum to rotate; the fixing strip is pulled through the pull ring so that the blocking net can be pulled out of the box body, the winding drum releases the blocking net, the blocking net is unfolded through the rectangular groove in the right side of the box body, the fixing strip and the inserting rod are inserted into a riverbed or the ground to be fixed, and the purpose of arranging the emergency rescue system convenient to use is achieved.

This invention relates to intelligent transportation technology and aims to provide a data-driven robust site selection method for heterogeneous risk management in drone-assisted accident handling. The method includes: cleaning and preprocessing historical traffic incident data, extracting accident tags and performing quantitative classification based on the U-I-A multidimensional evaluation framework to obtain a structured dataset; decomposing uncertain demand into basic normal demand and multi-source heterogeneous fluctuations, and establishing a structured uncertainty set based on the quantitatively classified structured dataset; modeling the robust site selection planning model as a minimax robust optimization problem, and then equivalently reconstructing it into a solvable single-stage mixed integer linear programming model; using a solver to solve the problem, obtaining the globally optimal hangar site selection scheme and the number of supporting drones, and outputting the results. This site selection method enhances the reliability and robustness of the drone emergency response system; it enables scientific planning of drone site deployment, achieving rapid and stable emergency response.

This invention discloses an underground flooding emergency system, comprising an underground pipe gallery extending downwards from the ground surface, a water pump, and several flooding sensors installed within the underground pipe gallery. The underground pipe gallery includes a primary operating room and a secondary operating room located at a higher elevation. All flooding sensors are connected to the water pump, the water supply pump, and valves of the underground pipe gallery. The system includes multiple flooding sensors I distributed in the primary operating room and multiple flooding sensors II distributed in the secondary operating room. The water pump adjusts its pumping power based on the flood volume and height feedback from all the flooding sensors. The water supply pump and valves adjust their start / stop status based on the flood volume and height feedback from all the flooding sensors. This underground flooding emergency system has an emergency protection function, can monitor the primary and secondary operating rooms around the clock, and has a wide monitoring coverage area, enabling timely and effective emergency protection measures to be taken in the event of leakage or flooding, reducing danger and losses.

The invention discloses an outdoor operation method, system and equipment based on a satellite remote sensing technology, and a medium, and relates to the technical field of outdoor operation. The method comprises the following steps: acquiring multi-source remote sensing data of a target outdoor area through a satellite remote sensing module; generating a disaster situation map through the ground control center according to the multi-source remote sensing data; generating an operation task list through the ground control center according to the disaster situation map; distributing the operation task list to a plurality of robot dogs through the ground control center; and carrying out collaborative operation through the robot dogs according to the operation task list. Therefore, by fusing satellite remote sensing, intelligent analysis and multi-robot-dog cooperative control, integrated emergency response of rapid sensing, scientific analysis, automatic distribution and unmanned operation in a disaster scene is realized, and the intelligence, high efficiency and safety level of outdoor disaster disposal are remarkably improved; the key technical problems of information lag, decision-making dependence on experience, high personnel risk, low response efficiency and the like in traditional rescue are effectively solved.

The invention discloses an integrated core authentication node system which is characterized by comprising a security authentication module used for identity authentication; the geographic information unit is used for generating a current position coordinate and storing a resident root node coordinate; and the processing unit is used for dynamically adjusting the weight intensity of identity authentication according to the spatial distance between the root node coordinate and the current position coordinate. According to the invention, a multi-node redundancy architecture is adopted, so that the communication and authentication continuity when a single point fails is ensured. The invention further integrates a set of multi-mode wearable equipment set, comprising: a power generation shoe capable of converting walking mechanical energy into electric energy; the photovoltaic clothes can collect light energy; and the intelligent cap is provided with LED lighting and SOS signal lamps. The devices supply power to a core authentication node and upload health and environmental data through a data communication network.

An emergency response system (200) and a method (100) for real-time event management in computer simulated environment. The method (100) includes determining a virtual model of a location of an event and determining a plurality of real-time parameters and a plurality of predicted parameters associated with a plurality of entities at a physical location of the event, using the virtual model of the location of the event. The method also includes displaying the real-time parameters and the predicted parameters to users collaborating in the computer simulated environment, in real-time; receiving input from the users to modify the real-time parameters and the predicted parameters in the computer simulated environment, for the event management; and sending instruction to the entities at the location of the event, to modify the real-time parameters and the predicted parameters for the event management.

The utility model relates to the technical field of coke oven machinery, in particular to a double-power-source device and an emergency system of a coke car. Oil outlets of the gas-liquid booster pump and the hydraulic pump are connected with a node, and the node is connected with an external hydraulic system; a high-pressure ball valve is further arranged between the gas-liquid booster pump and the node; the gas-liquid booster pump is communicated with the gas storage tank, and a first stop valve is arranged between the gas storage tank and the gas-liquid booster pump; when the hydraulic pump stops working, the first stop valve is opened, and the gas storage tank provides power for the gas-liquid booster pump. According to the device, after the hydraulic pump cannot provide power for the hydraulic system due to a circuit fault, residual gas in the gas storage tank is pressurized under the action of the gas-liquid booster pump, so that the power of the hydraulic system is recovered, production halt accidents caused by equipment damage can be reduced, a mechanism is prevented from being burnt out by high temperature due to a power failure fault, and the service life of the hydraulic system is prolonged. Fault influence time is reduced, operation is simple and convenient, and human resources can be effectively optimized.