73results about How to "Improve emergency response efficiency" patented technology

The invention discloses a reservoir dam safety monitoring abnormity early warning method and system, and belongs to the technical field of safety monitoring, and the method specifically comprises the steps: installing a sensor array at a spillway, a dam body, a dam foundation and a dam shoulder part of a reservoir dam, collecting dam physical parameter data in real time, and transmitting the data to a monitoring center in a wireless manner; after receiving the data, the monitoring center preprocesses and analyzes the data, calculates parameters such as deformation, settlement and displacement of the dam, and compares the parameters with preset safety thresholds; if the dam is in an unsafe state, the system automatically sends out an early warning signal, and a worker acts according to an emergency plan; the method further comprises the steps of field inspection, treatment measure implementation and result recording and feedback, safe operation of the dam is ensured, and the early warning and emergency response efficiency is improved.

The invention discloses a road traffic accident monitoring and alarming method and system, and relates to the technical field of data processing. The method comprises the following steps: acquiring vehicle speed values, vehicle distance values and driving tracks of a plurality of vehicles on a road to be monitored; calculating a speed change rate according to the vehicle speed value of each vehicle, calculating a distance change rate according to the vehicle distance value of each vehicle, and calculating a vehicle transverse offset according to each driving track; when the speed change rate, the distance change rate or the vehicle lateral offset exceeds the corresponding standard threshold value, determining that a traffic accident occurs on the road to be monitored; receiving the lane occupancy rate, the traffic flow density and the average passing speed of the road to be monitored; and determining an accident grade corresponding to the traffic accident based on the lane occupancy rate, the traffic flow density and the average passing speed, and generating alarm information of the accident grade corresponding to the traffic accident. By implementing the technical scheme provided by the invention, the effect of improving the road traffic accident monitoring and alarming efficiency is achieved.

The invention relates to the technical field of breach image processing, in particular to a breach rapid situation awareness method and system based on multi-source data. The method comprises the following steps: acquiring dam monitoring station data; performing hydrological sensor network setting on the dam monitoring station data to obtain dam hydrological sensor network data; performing ultrasonic water level change trend analysis on the dam hydrological sensor network data to generate an ultrasonic water level change trend chart; performing breach node sensing on the dam hydrological sensor network data according to the ultrasonic water level change trend chart to generate breach node data and breach prediction node data; and according to the breach node data, macroscopic disaster risk analysis is carried out on the breach area, and a breach area macroscopic disaster risk schematic diagram is generated. According to the invention, through real-time data integration, comprehensive risk assessment, unmanned aerial vehicle monitoring, dynamic prediction model and multi-party cooperative response, the accuracy and response speed of breach rapid situation awareness are improved.

The invention discloses a traffic transportation emergency command and dispatch system based on big data resources, which is constructed based on the big data resources and mainly comprises a data acquisition module, a big data processing and analysis module, an event early warning and prediction module, an emergency command and dispatch module, an information display and interaction module and the like. Various devices (a sensor, a camera, a GPS and the like) are utilized to comprehensively collect data such as traffic flow, road conditions, weather, events and the like. Acquisition has the characteristics of high frequency and high precision, supports a plurality of data transmission modes and protocols, and can integrate and format the acquired data to guarantee data quality and convenience of subsequent processing. According to the system, effective utilization of traffic data is realized through collaborative operation of all the modules, and the traffic transportation emergency management capability is improved from multiple aspects, including improvement of management efficiency, enhancement of emergency response capability, improvement of decision support, enhancement of information transparency, optimization of resource allocation, reduction of economic loss and improvement of public safety.

The invention relates to the field of digital archives, in particular to an alarm information processing method and system based on a block chain technology. A traditional monitoring system mainly carries out real-time monitoring according to data of a sensor and gives an alarm, and data may be tampered, so that emergency response and afterward responsibility investigation and determination work are affected; the invention aims to provide the alarm information processing method and system based on the block chain technology for a scene that alarm data is easy to tamper in the field of safety production, the method is improved on the basis of the existing Internet of Things technology, the block chain technology is added into the alarm processing system, and the alarm information processing efficiency is improved. The non-tampering and traceability of the data are realized based on the block chain technology, the integrity and transparency of the data are comprehensively considered in the risk monitoring process, the data security can be ensured, and the data security can be ensured for storing and tracing complete and real alarm notification and disposal process records. And powerful evidence support is provided for responsibility investigation and responsibility determination of subsequent accidents.

The embodiment of the invention discloses a forest fire spreading trend prediction method and device, equipment and a storage medium. The method comprises the steps of obtaining preprocessed landform data and meteorological data of a target region; extracting feature information related to fire spreading from the feature information, and constructing an initial feature set; evaluating the S transformation mathematical model through a feature importance evaluation method, identifying feature information having important influence on fire spreading, dividing the obtained processed data set into a training set, a verification set and a test set, and training the constructed S transformation mathematical model of fire spreading; and based on landform data and meteorological data of a to-be-detected target region, predicting and obtaining a fire spreading path and speed through the trained S transformation mathematical model. The scheme has important application prospects in the field of power grids, the early warning capability of power grid mountain fire prevention and control can be improved, the damage of fire disasters to power transmission lines is reduced, and the stability and safety of power grid operation are ensured.

The invention relates to the technical field of power generation equipment data monitoring, in particular to a new energy power generation equipment accurate monitoring and operation data analysis method. Comprising the following steps: data acquisition and storage: deploying sensors at key nodes to acquire data; evaluating a running state, extracting key indexes such as equipment efficiency, energy consumption and environmental adaptability, and quantifying a scoring standard; an evaluation function is constructed, an analytic hierarchy process and an entropy weight method are combined to determine a weight, and a normalized weight value and a comprehensive evaluation value are calculated; carrying out anomaly detection and early warning, defining an early warning level based on the comprehensive evaluation value, and carrying out mean shift detection; early warning operation and emergency response are carried out, a feedback mechanism is established, and emergency measures under different early warning levels are formulated. According to the method, the equipment operation state monitoring accuracy, the data evaluation scientificity and the abnormity processing timeliness and effectiveness are improved, and stable operation and efficient power generation of the new energy power generation equipment are guaranteed.

This application relates to a flood control emergency response method, device, and electronic equipment for a valley-type dry ash storage yard. The method includes: responding to a preset emergency condition where the water level of the downstream drainage well's tail-end dammed lake meets the required emergency conditions, initiating emergency drainage measures to excavate a flood discharge channel and construct a flood control work surface; using a combination of hydraulic flushing and slurry pumping to clean the surrounding sediment deposits of the upstream drainage well; and after the drainage functions of both the downstream and upstream drainage wells are restored, reshaping the ash surface morphology of the entire valley-type dry ash storage yard based on the flood control work surface to construct a flood discharge system with the drainage wells as the lowest control points within the yard. This solves the problems in related technologies where heavy rain causes drainage wells to be buried by sediment, leading to drainage system failure, rapid rise in water level within the storage yard, and a lack of systematic emergency response measures, resulting in a sharp shortening or even disappearance of the dry beach in front of the dam, posing a risk of ash water overflow and dam collapse.

The utility model relates to the technical field of heating furnace door opening and closing air cylinder control pipelines, and particularly discloses a furnace door air cylinder emergency control system which comprises an air cylinder and an air source pipeline, an electromagnetic valve is installed on the air source pipeline, and the rear portion of the electromagnetic valve is connected with an air inlet pipeline and an air return pipeline. An air inlet of the air cylinder is further connected with an emergency pipeline, and the other end of the emergency pipeline is connected with an air source pipeline. After the air source straight-through control pipeline is additionally arranged, connection with the air cylinder can be directly disconnected no matter an electromagnetic valve breaks down or an air source triple piece on the front portion breaks down, straight-through air source operation is achieved, intervention of an air source control system is not needed, emergency disposal efficiency is improved, and safe operation of production is guaranteed; when a control pipeline breaks down, a worker does not need to enter a site for emergency danger handling operation, the emergency handling process of the worker is eliminated, intrinsic safety of operation is achieved, and spare part consumption of the electromagnetic valve is reduced.

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 application relates to the field of intelligent cabinet management, in particular to a safety data management system and method based on an emergency rescue intelligent cabinet, which comprises a material grading module, a permission management module, a distribution planning module, a space supervision module and an emergency identification module, the material grading module is used for establishing a material grading system, the permission management module is used for determining the opening permission of a high-grade material storage compartment, the distribution planning module is used for constructing a gridding model and determining the optimal layout of the intelligent cabinet, the space supervision module is used for setting the positions of common cabinets and supervision points, and the emergency identification module is used for determining the core area of an emergency event; the application can reduce the setting cost of the intelligent cabinet, optimize emergency resource management, balance the convenience and safety of the intelligent cabinet, shorten the material deployment time, improve the emergency response speed, realize event detection and dynamic adjustment mechanism based on a material flow mode, and provide rapid and effective material guarantee for emergencies.

The invention discloses a digital management system for group tours for the elderly, and relates to the technical field of tourism management. The main scheme is: a user information management module stores historical health data and calculates historical health indexes, a health monitoring module monitors health data in real time to obtain a real-time health index, an alarm module triggers an alarm to notify relevant personnel based on a comparison result between the index and a threshold set, an itinerary customization module calculates a multivariate dynamic itinerary index in combination with weather, traffic, crowd flow data and a health index to generate an itinerary arrangement, an intelligent management module arranges food and lodging based on the historical health index, selects transportation tools based on the multivariate dynamic itinerary index and path planning, a service evaluation and feedback module collects feedback from tourists to obtain a score and calculates a satisfaction evaluation value, and a service improvement module generates a service improvement report based on a comparison result between a satisfaction evaluation value and a threshold set, thereby continuously improving service quality and providing a safe, comfortable and personalized group tour experience for the elderly.

The application provides a warehouse virtual node generation method and device for emergency events, which comprises the following steps: taking the position of a warehouse center point corresponding to an emergency event instruction as a first warehouse node, and taking the position of an emergency distribution point as a second warehouse node; constructing a material complementary relationship network based on the material surplus and deficiency states among the second warehouse nodes; constructing an emergency event relationship tree based on the first warehouse node, the second warehouse nodes, and the material complementary relationship network corresponding to the second warehouse nodes; constructing a material allocation relationship network based on the material sources pointed to by the material allocation instructions issued by each second warehouse node, and constructing a material allocation graph based on the material allocation relationship network and the hierarchical connection relationship of the nodes in the emergency event relationship tree; determining a first target warehouse node and a second target warehouse node based on the material allocation graph, and performing a material entity allocation operation based on the first target warehouse node and the second target warehouse node. The application improves the emergency response efficiency.

The invention discloses an emergency communication vehicle path planning method and device based on an improved ant lion algorithm. The method comprises the steps of firstly obtaining initial position and target position coordinates of the emergency communication vehicle; setting path connection, and performing interpolation calculation on path nodes; and then, randomly selecting a plurality of nodes from the interpolation nodes as ant lion positions, calculating fitness values according to the positions, selecting the ant lion with the highest fitness as an elite ant lion, and selecting one ant lion as a target ant lion. And then, updating the position of the ant lion according to the fitness values of all ants to obtain a new ant lion position, and synchronously updating the position of the elite ant lion according to the new ant lion position. And finally, judging whether a preset iteration convergence condition is met or not, and if yes, determining the updated position of the elite ant lion as an optimal emergency communication vehicle path. According to the method, rapid and high-precision path planning is realized, and the method has good convergence and rapid convergence speed, so that the overall optimal solution of the path is effectively found.

The present application relates to the field of nuclear power fire fighting, and particularly relates to a nuclear power plant fire fighting equipment life cycle management and monitoring system and a monitoring method, the system comprising an intelligent tag terminal, a personnel positioning system and a cloud platform, the intelligent tag terminal being used for monitoring fire fighting equipment parameters and uploading to the cloud platform; the personnel positioning system being used for obtaining real-time position information of inspection personnel and transmitting to the cloud platform; the cloud platform being used for processing data of the intelligent tag terminal and the personnel positioning system, carrying out state monitoring and abnormal early warning, fault prediction and preventive maintenance, remote intelligent inspection and life cycle management on the fire fighting equipment. The system collects information through the remote inspection module and the intelligent tag terminal, reduces the input of inspection personnel, improves the inspection efficiency, replaces artificial on-site inspection through remote intelligent inspection, and greatly reduces the workload of artificial inspection.

The invention relates to a kind of air and water pumping conversion device and its adaptive drilling method, including coaxial nesting device and adaptive control device, one end of coaxial nesting device is equipped with gas extraction hose, high-pressure water supply hose and high-pressure air supply hose, the other end is connected with coaxial nesting drill rod, coaxial nesting drill rod is connected with drill bit, and coaxial nesting device is connected with adaptive control device;Coaxial nesting device includes outer cylinder, three layers of pipes are arranged in outer cylinder, which are water supply channel, air supply channel and extraction pipeline arranged coaxially from outside to inside, the end of water supply channel is connected with high-pressure water supply hose;The end of air supply channel is connected with high-pressure air supply hose;The end of extraction pipeline is connected with gas extraction hose.The invention realizes multi-system integration by coaxial nesting channel design, dynamically switches power mode and gas extraction strategy by combining BP neural network model and real-time sensor data, and solves the problems of low efficiency, poor safety and insufficient adaptability in prior art.

The application provides a kind of urban water situation awareness management method and system, it is related to urban water management technical field, the method comprises: obtaining multi-source heterogeneous data;Multi-source heterogeneous data is preprocessed, feature extraction and fusion are obtained comprehensive analysis feature set;Comprehensive analysis feature set is input into situation assessment model to determine the situation level of urban water;Comprehensive analysis feature set is input into time series prediction model, and the situation change trend of future period is predicted;Based on comprehensive analysis feature set, situation level and situation change trend, utilize the preset risk assessment index system to carry out comprehensive evaluation, generate risk assessment result;Based on situation level, situation change trend and risk assessment result, call the preset expert knowledge base to carry out matching and reasoning, generate candidate disposal strategy set;The strategy in candidate disposal strategy set is evaluated, and the optimal disposal strategy is output.The application improves the management level of urban water.

This invention discloses a multi-scenario infusion device, relating to the field of medical auxiliary equipment technology. It includes a positioning box, a deflection box, a micro-pump, an electrically controlled locking clamping mechanism, and a system for blocking and adaptive pressure correction. The positioning box and deflection box are hinged and sealed to form a sealed chamber. The micro-pump pressurizes the chamber to achieve gravity-free infusion, adapting to unsteady conditions such as bumps and tilts. The system uses laser sensors and pressure sensors as sensing nodes. A high-frequency photoelectric microbubble recognition module extracts the optical signal features of the pipeline to complete bubble identification and tracing. A chamber pressure fluctuation modeling module constructs a pressure-liquid level-infusion rate correlation model. A data processing unit generates closed-loop commands, which, in conjunction with the electrically controlled locking clamping mechanism and the micro-pump, execute bubble blocking and chamber pressure adaptive correction. This invention effectively solves the problems of limited posture, unstable rate, and lagging bubble control in existing infusion devices, improving infusion safety and scenario adaptability.

The invention relates to the field of environmental protection prediction, and provides an accident emergency response and environmental influence evaluation method based on an environmental protection housekeeper, and the method comprises the steps: obtaining the historical data of industrial equipment based on artificial intelligence, and building a pollutant discharge prediction model and an emergency scheme prediction model; establishing a database based on the pollutant emission prediction model and the emergency plan prediction model, wherein the database comprises industrial equipment information and a time continuous model group corresponding to industrial equipment; real-time environment information of the industrial equipment is monitored in real time based on the Internet of Things, the real-time environment information comprises real-time environment influence factor parameters and real-time pollutant emission, the industrial equipment is monitored in real time based on the real-time environment information and a database, real-time comparison nodes are obtained, and a corresponding prediction emergency scheme is implemented. When the system is used, scientific evaluation and quick response of the industrial environment can be realized, and powerful support is provided for environmental influence evaluation and accident emergency response service of environmental protection households.

The invention discloses a novel energy system safety risk analysis method and device based on carbon-energy coupling, and the method comprises the steps: inputting energy data and a carbon emission factor, and building a carbon-energy coupling dynamic model; generating typical risk scenes such as energy price fluctuation and extreme weather, and reducing to obtain a simplified scene set; then an upper-lower layer coupled risk quantification model is constructed, the upper layer focuses on energy supply cost and carbon emission optimization, and the lower layer focuses on power system operation cost minimization; and finally, solving based on a Monte Carlo method, and outputting a multi-dimensional risk assessment index. According to the method, the problem that multi-field risk interaction is difficult to describe by a traditional method is solved, accurate quantification of the multi-scene risk of the provincial novel energy system is realized, and scientific support is provided for provincial energy safety decision.

The present application relates to the field of intelligent water management, and particularly relates to a water abnormal event early warning system based on data collection and analysis, which forms time synchronization time series data through multi-source data collection, calculates dynamic risk scores, identifies abnormal events and outputs event type confidence, generates propagation prediction results in combination with pipe network topology, executes dynamic control measures, and receives feedback to update the state through the alarm closed loop, realizes real-time early warning and accurate disposal of water abnormal events, realizes early identification and accurate attribution of short-time negative pressure backflow and high-toxicity small-volume pollution groups through multi-source time synchronization and dynamic risk assessment, gives the influence range and time window in combination with topological propagation prediction, improves the disposal directionality, and updates the state relying on the alarm-control-feedback closed loop, self-optimizes the threshold and strategy, and improves the emergency efficiency.

The application discloses a dengue fever prediction and early warning system based on heterogeneous data fusion and a graph neural network, and relates to the technical field of infectious disease prediction and early warning. The data acquisition module is used for acquiring case data, meteorological data, remote sensing vegetation index data, population flow data and social media sentiment data. The dengue fever prediction and early warning system based on heterogeneous data fusion and the graph neural network effectively improves the accuracy and precision of dengue fever epidemic prediction by integrating multi-source heterogeneous data and constructing a dynamic multi-dimensional graph structure for spatio-temporal coupling prediction. The use of a graph attention network and a time convolution network captures complex spatial dependence and temporal dynamics, and the use of a parallel model cross-verification and arbitration mechanism enhances the reliability of the prediction results, improves the sensitivity and stability of risk identification, and reduces false positives.

This invention discloses an intelligent zoned lighting and socket collaborative control system, comprising: a multi-zone personnel detection array for real-time monitoring of the presence status of personnel in each zone and generating personnel status signals; an intelligent zone controller for receiving and processing the personnel status signals from each zone, executing a dynamic zoned control logic algorithm, and outputting lighting control commands and socket power control commands; a lighting control execution module connected in series to the lighting power supply circuit of the corresponding zone, for connecting or disconnecting the power supply to the lighting fixtures in that zone according to the lighting control commands; and a socket control execution module connected in series to the socket power supply circuit of the corresponding zone, for connecting or disconnecting the power supply to the sockets in that zone according to the socket power control commands. This invention can detect the flow or presence status of personnel in different zones in real time and control the on / off of lighting fixtures and socket power according to a preset strategy, achieving on-demand power supply and energy saving.

The invention belongs to the field of 3D printing nozzles, and discloses a 3D printing nozzle for printing a polluted site barrier and a printing method, which can realize synchronous rapid carbonization and printing construction of a printing material, form a composite barrier with a relatively high sealing effect, and remarkably improve the emergency disposal efficiency of an emergent site soil groundwater pollution event. The 3D printing nozzle comprises a shell, a hollow first stirring shaft, a hollow second stirring shaft, a power source and an air source. A feeding hole, a discharging hole and an air injection hole are formed in the shell; second stirring blades are arranged on the outer wall of the second stirring shaft, the first stirring shaft is sleeved with the second stirring shaft, first stirring blades are arranged on the outer wall of the lower portion of the first stirring shaft, and gas dispersion holes are formed in the wall face of the lower portion of the first stirring shaft; the power source drives the first stirring shaft and the second stirring shaft to rotate; the air source is respectively connected with the hollow cavity of the first stirring shaft and the air injection hole.

This invention relates to the field of radar fault technology, and more particularly to a three-dimensional visualization method, system, and electronic device for radar fault information. The method includes: establishing a fault information tree structure for the radar according to the hierarchical inclusion relationship of components in each radar cabinet; marking key points on the three-dimensional structural diagram of the component corresponding to each node in the fault information tree structure, and marking the smallest replaceable unit on the component corresponding to each node in the fault information tree structure, thus obtaining the radar fault information tree; constructing a realistic three-dimensional visualization scene of the radar and the roaming action of each key point based on the radar fault information tree; and combining the realistic three-dimensional visualization scene and the roaming action of each key point with the radar fault information tree to obtain a three-dimensional visualized radar fault model, which can provide error information more quickly and intuitively, guiding operators to quickly and accurately locate faulty components of the equipment, effectively shortening maintenance time.

The application discloses an acoustic imaging gas leakage risk grading alarm method, which comprises the following steps: synchronously collecting acoustic signals, visual signals and environmental auxiliary parameters of a region to be monitored; performing background noise suppression and interference filtering on the collected acoustic signals; performing leakage feature extraction on the interference-suppressed acoustic signals, and judging whether to generate a pre-warning trigger signal or an alarm trigger signal according to the extracted features; after receiving the pre-warning trigger signal or the alarm trigger signal, calling a multi-source data to calculate a risk comprehensive score, and dividing a risk grade according to the risk comprehensive score; and outputting a differentiated alarm signal according to the divided risk grade, and matching a treatment requirement or a linkage control action corresponding to the risk grade. The application also discloses an acoustic imaging gas leakage risk grading alarm system for realizing the above method. The application realizes the grading quantitative evaluation of leakage risks, significantly reduces the false alarm rate of non-dangerous emissions, and realizes the accurate matching of alarms and emergency responses.

The invention relates to the technical field of major activity safety guarantee, and particularly discloses a major activity safety guarantee risk management system and method based on risk portray.The system comprises a data footstone layer, an analysis, study and judgment layer, a decision action layer and a verification optimization layer, and the data footstone layer constructs a dynamic hidden danger library following the four-dimensional principle; multi-source data are gathered through a standardized model, risks are quantified based on a weighted RPN formula, and a data injection and dynamic updating mechanism is matched. And the analysis, research and judgment layer generates a risk portrait report containing a structured list through scene modeling and multi-dimensional aggregation analysis. The decision action layer converts the portraits into tactical actions such as special plans, resource presetting and special drilling. And the verification optimization layer realizes risk monitoring regulation and knowledge precipitation through closed-loop management. According to the invention, the conversion from passive response to data-driven active defense is realized, the risk identification and pre-judgment precision is improved, the resource configuration and emergency efficiency are optimized, the system self-learning evolution is driven, and the risk recurrence rate of the same kind is reduced.

A satellite remote sensing image power tower disaster damage identification method, system and related device, the method comprises collecting multi-source power tower satellite remote sensing image and constructing a data set; input the data set into the pre-constructed rotating target detection model, output the power tower spatial position and identify the orientation angle through the rotating target detection model; according to the spatial position of the power tower and the identified orientation angle, the maximum likelihood estimation model of the angle distribution of the power tower is constructed through angle specialization processing, and the maximum likelihood estimation model parameters are solved by using the expectation maximization algorithm to determine the orientation angle distribution of the power tower in the image to be measured; according to the orientation angle distribution of the power tower in the image to be measured, abnormal detection is carried out, and the objects exceeding the threshold range are screened out, that is, the power tower damaged by disaster. The present application can avoid the problem of sample scarcity, significantly reduce the data preparation threshold, realize full automation from data preprocessing to abnormal screening in the detection process, and effectively improve the disaster damage perception efficiency and accuracy.

The application discloses a kind of digital mine energy efficiency management and control method, equipment and medium based on cloud platform, it is related to energy management technical field, including, perception fusion module, for real-time acquisition and cleaning multi-source heterogeneous operation data, and input mine energy efficiency model, mine energy efficiency model is kept synchronous mapping with physical entity by Kalman filtering algorithm, generates virtual mine real-time state package;Simulation prediction module, for industrial cloud platform, virtual mine real-time state package is used as simulation benchmark, to mine energy efficiency model injects preset equipment fault and load mutation and carries out multidimensional emergency simulation test, generates dynamic emergency plan library;Strategy matching module, for by multidimensional feature comparison algorithm, multi-source heterogeneous operation data is matched with dynamic emergency plan library in real time, when completing matching, output corresponding structured plan.The application generates virtual mine real-time state package by perception fusion module, realizes high-precision data fusion and real-time state mapping.

The application discloses an intelligent walking stick early warning method and system based on multi-parameter physiological monitoring, relates to the technical field of intelligent walking sticks, and comprises the following steps: collecting physiological parameters and motion data of an old user through various sensors, and extracting physiological features and motion features; collecting normal state monitoring data of the old user to construct a normal behavior model for multi-level anomaly detection, classifying the multi-level anomaly detection results to obtain an anomaly category; performing hierarchical early warning according to the anomaly category, generating corresponding early warning information, triggering fuzzy voice interaction, obtaining an abnormal state and real-time demand of the old user according to a fuzzy voice recognition result; obtaining a response strategy through the early warning information and the abnormal state and real-time demand of the old user, recording actual conditions after each early warning information to perform model feedback adjustment. Through the closed-loop architecture of multi-modal perception, intelligent decision and hierarchical response, the safety of daily life of the old user and the health monitoring efficiency are remarkably improved.