1612 results about "STI Outpatient" patented technology

An Internet-of-Things-based intelligent safety monitoring method and system for power plant operation. The method comprises: deploying sensors and collecting monitoring data in real time; transmitting the collected data to a central server, performing data processing, integrating the monitoring data, calculating a comprehensive environmental index, and preliminarily assessing an environmental monitoring condition; and comprehensively determining a device fault condition, remotely monitoring device status, starting a device emergency response mechanism, and performing intelligent safety monitoring of power plant operation. Power plant devices and environment parameters are monitored in real time, so that device anomalies and potential safety hazards are promptly captured to achieve rapid response. The stability of the power plant is improved, and a video monitoring system is integrated in combination with image recognition technology to monitor anomalous events in the power plant area. The level of safety management is enhanced, and decisions can be quickly made in emergency situations, improving flexibility and efficiency and enhancing management effectiveness and the accuracy and stability of the monitoring system.

The invention discloses a Beidou short message communication transmission method applied to the electric power field, relates to the technical field of electric power communication, and aims to solve the technical problems that the current communication transmission technology cannot meet the communication transmission requirements of electric power equipment under extreme conditions and cannot ensure that key information is preferentially transmitted in an interfered environment under emergency conditions. Comprising the following steps: communication guarantee and short message communication in a non-signal area: installing a high-performance Beidou short message communication module for power equipment in the non-signal area such as a mountainous area and a depopulated area, monitoring the running state of the equipment in real time through the high-performance Beidou short message communication module, and periodically sending parameter information to a monitoring center; according to the method, communication guarantee is provided for the power equipment in the non-signal area by taking the power equipment as a relay node, short message transmission is optimized after a natural disaster occurs and in a special scene, smooth communication is guaranteed, and priority transmission of key information in an interfered environment is guaranteed in an emergency.

The invention discloses an industrial environment information wireless monitoring system based on the Internet of Things and a control method thereof, and relates to the technical field of industrial management, and the system comprises an intelligent edge calculation module, a data visualization module, a self-healing network management module, a precise energy consumption management module, an environment anomaly detection module and a wireless network optimization module. According to the industrial environment information wireless monitoring system based on the Internet of Things and the control method thereof, real-time analysis and decision are realized at a data source by using an intelligent edge computing module, data transmission delay is reduced, response can be quickly made in an emergency, potential faults are predicted through a time sequence abnormity self-learning network model, and the monitoring accuracy of the industrial environment information wireless monitoring system based on the Internet of Things is improved. And network self-healing is actively carried out before a problem occurs, so that the network downtime is effectively reduced. In addition, due to the introduction of a low-power-consumption ad hoc network protocol, the energy consumption optimization management of the sensor nodes is realized, and the service life of equipment is prolonged.

The invention discloses an ecological environment commanding and dispatching system and method based on audio and video fusion, and relates to the technical field of ecological environment dispatching. The commanding and dispatching platform is in communication connection with a data acquisition module, a data preprocessing module, an event detection and identification module, a severity evaluation module, a commanding and dispatching module and a resource management module, and all the modules are in electric signal connection; the data acquisition module is used for collecting real-time audio and video data from various sensors and monitoring equipment which are deployed in advance. According to the invention, through real-time monitoring and automatic detection technologies, abnormal events are identified at the first time, and an early warning mechanism is started immediately, so that compared with traditional manual inspection, the time for finding the abnormal events can be shortened, in addition, the automation characteristic of the system reduces delay caused by human factors, and the system is more convenient to use. Therefore, resources and personnel can be quickly mobilized in emergency, and the influence of events can be effectively controlled and relieved.

The invention relates to the technical field of remote control, in particular to an intelligent device remote cooperative control method and system based on the Internet of Things, and the method comprises the following steps: monitoring and adjusting the CPU utilization rate and memory usage of an intelligent device based on an Internet of Things platform, optimizing the data collection and network resource distribution, and improving the intelligent device remote cooperative control efficiency. By analyzing equipment performance and a network load balance index, equipment connection priority ranking and task load management are realized, and task execution and connection frequency is dynamically adjusted, so that real-time task requirements are met, and system efficiency is improved. According to the method, the performance index of the equipment is monitored in real time, the data transmission interval is dynamically adjusted, the data processing speed is remarkably increased, resource waste is reduced, efficient use of network resources is ensured through real-time load analysis and optimization of network nodes, the problem of data delay caused by network congestion is avoided, and in the aspect of equipment connection management, the data transmission efficiency is improved. An intelligent priority decision mechanism allows the key device to quickly access the network in an emergency.

The invention discloses a UWB-based multifunctional integrated vehicle-mounted safety control method and system, and the method comprises the following steps: collecting the dynamic environment data around and in a vehicle in real time based on a plurality of sensors, carrying out the path adjustment and driving mode optimization through generating a multi-level three-dimensional environment model, and carrying out the control of the driving mode. The system performs risk assessment and dynamic adjustment by using external data such as obstacles, road conditions, weather and the like collected by a sensor and combining a behavior mode of a driver and a health state of a passenger, and in a collision prediction and protection mechanism, the system gradually activates a protection system by analyzing factors such as vehicle speed and acceleration, so that the safety is guaranteed, and the safety is ensured. The system optimizes the energy distribution of a key system through an energy scheduling model, improves the energy efficiency, and preferentially guarantees the operation of a safety system in an emergency. According to the invention, a self-adaptive learning algorithm and a multi-scene optimized driving assistance function are integrated, and self-adaptive adjustment and safety control of the vehicle in different driving environments are realized.

The invention discloses an intelligent emergency control system of an arrangement ship steering oar, and belongs to the technical field of arrangement ship steering oar control. An intelligent emergency control system of an arrangement ship steering oar comprises a main control module, a steering oar driving module and a steering oar control module. The problem that in the prior art, when a main steering system breaks down, a ship is prone to being out of control, colliding or other safety accidents are caused is solved, the steering oar driving module is used for conducting driving operation on the arrangement ship steering oar in an emergency mode, the state of the arrangement ship steering oar is monitored in real time, and the safety of the arrangement ship steering oar is improved. When potential problems and fault trends exist in the arrangement ship steering oar, a control instruction of the arrangement ship steering oar is adjusted so as to ensure safe operation of the arrangement ship steering oar, quick response can be made and an emergency mode can be started in emergency, dangerous situations such as out-of-control of the ship can be effectively avoided, remote monitoring and management can be achieved, and the safety of the arrangement ship steering oar is improved. Safety and management efficiency of the ship are improved, and safe driving of the ship is effectively guaranteed.

The invention discloses a fusion reward-based reinforcement learning sparse graph reasoning method and system, which ensure accurate and timely response in emergency response decision by introducing a rule set and a fusion reward mechanism. Meanwhile, a fusion embedding module is constructed, semantic association information and graph structure information in the dam emergency response knowledge graph are expressed in a combined mode, more complete and accurate knowledge expression is provided for reasoning of an intelligent agent, and a complex emergency response scene can be dealt with. Besides, through a rule-based reward shaping mechanism, a terminal reward is combined to realize a fused reward function, the reinforcement learning model is further guided to generate a high-quality explainable reasoning path, and it is ensured that the generated decision path can be rapidly understood and executed in an emergency. According to the method, the accuracy and practicability of the sparse knowledge graph reasoning task in the dam emergency response system are remarkably improved, and application in the fields of knowledge graph completion, disaster emergency decision making, intelligent early warning and the like can be effectively supported.

The invention relates to the technical field of data processing, in particular to a hoisting state intelligent sensing and early warning system, method and equipment, and the system comprises an environment interference early warning module, a hoisting equipment abnormity early warning module, a hoisting operation abnormity early warning module and a hoisting system database, according to the intelligent sensing and early warning system, method and equipment for the hoisting state, the influence of environment interference, hoisting equipment abnormity and hoisting state abnormity on hoisting operation is comprehensively analyzed, and a comprehensive hoisting operation abnormity evaluation system is formed; the evaluation system not only can monitor the environmental interference degree of a hoisting operation site in real time, but also can perform analysis and early warning on hoisting equipment abnormity and hoisting state abnormity, and through comprehensive evaluation and early warning on hoisting operation, the emergency response capability of hoisting operation can be improved, and the safety of hoisting operation is improved. And therefore, the hoisting operation can still be kept stable and safe under the emergency condition.

The invention relates to the technical field of mine management, and discloses a mine intelligent safety monitoring and early warning system, which comprises an intelligent acquisition module used for monitoring data of each position of a mine in real time and automatically adjusting monitoring frequency and sensitivity, and the data of each position comprises environment, equipment and geological conditions; the safety communication module is used for processing the data, transmitting the data to the corresponding module and keeping communication with the site in emergency; the data analysis module is used for storing, processing and analyzing the data acquired by the intelligent acquisition module, and extracting features and information; and the early warning module is used for optimizing a prediction model according to the features and information extracted by the data analysis module. According to the invention, the sensitivity and the accuracy of data acquisition are improved through the intelligent acquisition module, and the reliability and the information transmission efficiency of the system are improved through the safety communication module, so that the safety risk of a mine can be comprehensively known, the possibility of safety accidents is effectively reduced, and the safety and the efficiency of mine operation are improved.

The invention relates to a subway station pedestrian emergency evacuation system and method based on identification guidance, in particular to a dynamic identification guidance system optimized in combination with Legon simulation software. According to the system, a dynamic identification device is deployed in a subway station, Legon simulation software is combined to simulate and analyze people flow in the station in real time, and an optimal evacuation path is provided. In an emergency, the system dynamically adjusts the guiding direction of the evacuation identification by using simulation data and environment monitoring information. Legion simulation software can accurately simulate driving behaviors of passengers in different environments and under different congestion conditions, so that the accuracy of an evacuation scheme is improved. Through a simulation test, the system can significantly reduce the evacuation time, improve the evacuation speed, optimize the distribution of personnel in the station, reduce the residence time in a high-density area, and ensure the safe evacuation of passengers in an emergency.

The utility model relates to the technical field of mobile charging piles, and discloses an environment-friendly cabinet type mobile charging pile which comprises a main body mechanism, a track mechanism and a driving mechanism, racks are arranged on the two sides of a track main body, an emergency stop button is located at the front end of a box body, and the driving mechanism is located at the rear end of the box body. The charging pile is used for rapidly cutting off a power supply in an emergency and ensuring use safety, the interactive terminal provides an operation interface for a user and has the functions of charging starting, charging state monitoring, setting adjustment and the like, and the shock pad absorbs vibration and impact and protects the structure of the charging pile from being damaged. According to the environment-friendly cabinet type movable charging pile, the charging cabinet body is designed to be movable, single charging equipment is allowed to serve a plurality of parking spaces, the utilization rate of a charging station is remarkably improved, and the situation that the parking spaces are occupied by non-electric vehicles or the electric vehicles are vacant due to full charging is reduced through the design; therefore, the same charging resource can serve more users, especially in urban areas with insufficient parking spaces.

The invention relates to the technical field of emergency communication, in particular to an ocean emergency plan planning method and system based on a block chain, and the method comprises the following steps: receiving air pressure, temperature and wind speed data based on a target ocean monitoring region, collecting the water velocity and direction data, extracting the geographic position and course data of a ship, and carrying out the data processing; and performing timestamp alignment and data fusion processing on the data to obtain a marine environment condition data set. According to the invention, the block chain technology is applied to ocean emergency plan planning, the transparency and traceability of data are improved, the probability and potential influence of disasters are predicted through time sequence analysis, early warning signals are sent to associated nodes through a network, and the health condition and communication load of each node in the network are monitored in real time. And the data flow and the bandwidth are dynamically adjusted, so that the response speed and the efficiency of the network are improved, rescue resources can be quickly and effectively deployed in an emergency, and the accident influence is reduced to the greatest extent.

The invention relates to the technical field of mine underground positioning, and discloses a UWB-based coal mine underground accurate positioning system, which comprises a UWB base station, a UWB label, a central processing unit and a data transmission network, and is characterized in that the UWB base station is installed on a monorail hoist and is used as a signal receiver, the UWB label is fixed on a wall or a ceiling of a roadway and is used as a signal transmitter, and the central processing unit is used as a signal receiver. The central processing unit is responsible for receiving data from the UWB tag, executing a PDOA algorithm and calculating the position of the monorail hoist, and the data transmission network is used for data exchange between the base station and the tag and between the tag and the central processing unit. The monorail hoist can be quickly positioned, and rescue action is facilitated.

The invention relates to the technical field of fire safety, in particular to a multi-dimensional fire safety management system which comprises an environment monitoring module, a data analysis module, a real-time video monitoring module, an intelligent decision module and a self-adaptive evacuation navigation module. The data analysis module processes and analyzes the collected environmental data, the real-time video monitoring module monitors the internal situation of the building by adopting a high-resolution camera, the intelligent decision-making module generates a fire coping strategy, and the self-adaptive evacuation navigation module dynamically generates and updates a safe evacuation route in the building. The self-adaptive evacuation navigation module is introduced, so that a safe evacuation route in the building can be dynamically generated and updated in real time. The system can adjust the evacuation route according to the current environmental condition by analyzing the fire behavior development and the personnel distribution condition in the building in real time, thereby effectively preventing the personnel from entering a high-risk area by mistake, and ensuring that the personnel can be quickly and orderly guided to a safe area in an emergency.

The utility model discloses a microgravity experimental instrument which comprises a vertical framework, and a plurality of friction plates are installed on the front outer wall and the rear outer wall of the vertical framework in the vertical direction. The rising and falling platform body is installed at one end in the vertical framework in a sliding mode, and an experiment cabin is installed at the top end of the rising and falling platform body; and the belt wheel lifting units are installed on the two sides of the interior of the vertical framework and used for driving the lifting platform body to do accelerated lifting motion. According to the utility model, the active brake mechanism and the friction plate are matched to work to control the accelerated rising of the rising and falling platform body and the deceleration of the free falling body, experiment parameters are ensured to be within a required range, meanwhile, the active brake mechanism can increase the safety of an experiment, and especially in an emergency, the active brake mechanism and the friction plate can be used for an emergency stop experiment. And unnecessary damage or danger is avoided.

A lock system having locks that can communicate directly with each other or through each other in the case of an emergency. Each lock in the lock system is capable of detecting an emergency by employing a sensor. When the lock detects an emergency, it initiates its own emergency response (e.g., locking doors, sending alarms) and in addition, that lock communicates with other locks so that those other locks can initiate its own emergency response.

A retrofitted bus featuring a progressive floor elevation system that gradually increases the height of modular flooring sections from front to rear, creating additional underfloor storage space and improving passenger visibility. The bus incorporates elevated passenger seating assemblies with rigid support structures and adjustable footrests for enhanced comfort and accessibility. The retrofitted stowage space may include insulation, climate control, and video monitoring systems. An engine safety cover, constructed from fire-resistant, thermally insulating, and structurally reinforced materials, integrates an extinguishing system for fire suppression. A swing-down egress mechanism at the rear of the bus serves as a structural component during normal operation and converts to an evacuation slide or stairs during emergencies.

The invention provides a video inspection task priority scheduling system fusing real-time data. The video inspection task priority scheduling system comprises the steps that cameras and sensors are arranged in different monitoring areas; the video frame and the sensing data are stored in association with the number of the located area; generating exception summary information according to the input video frame based on a multi-modal exception detection model; polling inspection is carried out on the video frames of the monitoring area according to the video task inspection priority; when the sensing data is abnormal, obtaining abnormal summary information of the video frame of the current monitoring area, triggering and calling the video frame of the associated monitoring target in the associated monitoring area according to the generation frequency of the abnormal summary information, and extracting the associated abnormal summary information by using a monitoring target feature extraction module; and according to the generation frequency of the abnormal summary information and the associated abnormal summary information, respectively adjusting the video inspection task priority of the corresponding monitoring area. According to the method, the monitoring efficiency can be improved, the false alarm rate can be reduced, and more reliable decision support can be provided in an emergency.

The invention discloses a coal mine fireproof simulation training method based on a virtual reality technology, relates to the technical field of coal mine fireproof simulation training, is used for solving the problem that a virtual scene and student operation are asynchronous due to sensor data delay or misalignment in the training process, and comprises the following steps: collecting action data of a student in real time; comprise posture change, hand movement and position coordinate information. Seamless synchronization of the sensor and the virtual scene is ensured through the time synchronization algorithm and the dynamic compensation model, and the safety and effectiveness of training are improved. In combination with a sliding window, a prediction algorithm and a redundancy detection mechanism, the system has high fault-tolerant capability, and training continuity and stability are guaranteed. The dynamic path planning under the fire spreading trend is realized by adopting the A * algorithm, and the guidance is quickly adjusted and corrected when the trainee deviates from the path, so that the real-time response capability and the immersion of training are improved, and the trainee is helped to quickly make a decision and act in an emergency.

A retrofitted bus featuring a progressive floor elevation system that gradually increases the height of modular flooring sections from front to rear, creating additional underfloor storage space and improving passenger visibility. The bus incorporates elevated passenger seating assemblies with rigid support structures and adjustable footrests for enhanced comfort and accessibility. The retrofitted stowage space may include insulation, climate control, and video monitoring systems. An engine safety cover, constructed from fire-resistant, thermally insulating, and structurally reinforced materials, integrates an extinguishing system for fire suppression. A swing-down egress mechanism at the rear of the bus serves as a structural component during normal operation and converts to an evacuation slide or stairs during emergencies.

The invention relates to the technical field of vehicle transmission power generation, in particular to a vehicle-mounted engine power takeoff driven parking power generation device which comprises a power takeoff and a power generator, a transmission shaft component is arranged between the power takeoff and the power generator, and the power takeoff drives the power generator to work and generate power through the transmission shaft component; the transmission shaft component comprises a first split shaft and a second split shaft which are coaxially arranged, an axial lock sleeve is fixedly arranged on the first split shaft, and the axial lock sleeve axially limits the second split shaft; according to the parking power generation device driven by the power takeoff of the vehicle-mounted engine, a vehicle can have higher safety redundancy, and when the power takeoff breaks down and cannot be connected with power or disconnected from the power, the working condition can be automatically recognized, and power takeoff is disconnected or power takeoff is connected in an emergency.

The invention provides an intelligent cockpit single Beidou test device and test method. The test device comprises a microwave darkroom, a rotary table and an arc guide rail. The arc guide rail is vertically arranged in the anechoic chamber, the rotary table is arranged on the bottom wall of the anechoic chamber in parallel, and the circle center of the arc guide rail coincides with the circle center of the rotary table; the 0-degree elevation angle of the arc guide rail is flush with the upper surface of the rotary table; the 90-degree elevation angle is located right above the test vehicle; a sliding antenna is connected to the arc guide rail in a sliding manner, and the sliding antenna is fixed in a short time every 5-15 degrees in the sliding process; and a wave-absorbing material is laid on the inner wall of the microwave darkroom. According to the invention, the adaptability of the intelligent cabin to Beidou signals in different geographical environments can be comprehensively tested; the single Beidou performance of the intelligent cockpit is accurately verified, reliable operation of the single Beidou navigation function in the intelligent cockpit is ensured, accurate route guidance and early warning information are provided, accurate position information can be provided in time in an emergency, rescue work is assisted, and driving safety is ensured.

The invention relates to the technical field of data transmission, in particular to an intelligent emergency calling method and system. The method comprises the following steps: when an emergency event occurs, detecting potential bottleneck and congestion in a network, analyzing a current available transmission path based on real-time network data, evaluating the quality and priority of the path, and collecting real-time emergency data at the same time; distributing the emergency data to corresponding network slices through a predefined slicing strategy; and after the network slices are distributed, detecting the demand of emergency data traffic, evaluating the real-time slice capacity, judging whether the resources in the slices meet the demand of the emergency data traffic, and if the resources in the slices do not meet the demand of the data traffic, performing adjustment according to the real-time condition of the slices. According to the intelligent emergency response method and system, it can be ensured that the key task data can preferentially obtain necessary resources under the emergency condition, interference of low-priority data is avoided, and it is ensured that the key task data can be reliably transmitted.

The invention relates to the technical field of building fire fighting, in particular to a smoke exhaust fireproof valve capable of being remotely controlled. The safety valve comprises a valve body module, a sensor and execution module, a controller module, a remote control module, a safety module and a power module. Compared with the prior art that a control instruction is directly sent according to sensor data, so that response is not timely or misoperation is possibly caused, the scheme adopts a controller module to carry out scene judgment according to the sensor data, and the highest priority of a manual control instruction is set; according to the method and the system, a control scene can be identified more accurately based on smoke concentration and a logic judgment rule of a temperature threshold, a manual control instruction is ensured to be executed preferentially in an emergency, opening and closing of blades of the valve body module are controlled flexibly according to smoke and temperature conditions, the response speed and accuracy of the system are effectively improved, and the system reliability is improved. And the possibility of misoperation is reduced, so that the overall performance and safety of the smoke exhaust fireproof valve system are improved.

The invention discloses a comprehensive pipe gallery fire positioning method based on modal recognition and a Bayesian algorithm, and the method comprises the steps: firstly, determining a comprehensive pipe gallery disaster condition for a space scene, and building a comprehensive pipe gallery fire numerical calculation model based on a computational fluid mechanics method; secondly, a physical field modal reduced-order model is constructed based on time slice data, and nonlinear modal recognition of physical information such as temperature, carbon dioxide and carbon monoxide in the utility tunnel during a fire disaster is achieved; thirdly, performing nonlinear modal feature recognition on features of physical information such as temperature, carbon dioxide and carbon monoxide by using a neural network driven by physical information; and finally, based on a Bayesian reasoning algorithm method, carrying out fire position rapid positioning. According to the method, the machine learning theory is fused, and the accuracy, interpretability and timeliness of the model are improved. The method has an important practical application value for rapid prediction and disaster source positioning of the comprehensive pipe gallery fire, and especially can rapidly respond in an emergency, thereby providing support for disaster management.

The invention relates to a subway emergency evacuation identification system utility test and evaluation method, in particular to a simulation experiment evaluation method based on BIM (Building Information Model), Unity (game engine) and VR (Virtual Reality) technologies. According to the method, firstly, a subway emergency evacuation identification system experiment test platform integrating BIM, Unity and VR technologies is constructed; the platform can simulate the performance of the subway emergency evacuation identification system in a fire emergency event, and assesses different emergency evacuation identification systems. Further, according to the method, volunteers are recruited for experimental testing, and evacuation behavior parameters and visual gazing parameters of passengers are collected and analyzed. Finally, an all-dimensional and multi-dimensional index system is constructed, and the effectiveness of the emergency evacuation identification system is comprehensively evaluated by adopting a coupling coordination degree model, so that the safety, reliability and high efficiency of the emergency evacuation identification system in an emergency are ensured.

The invention provides a safe and reliable data center machine room cooling channel, and belongs to the technical field of data center heat dissipation and cooling devices. Comprising a bottom plate component, a vertical frame component, data center cabinets, a fire-fighting linkage skylight system, an access door system, an access control system and a monitoring sensing system, the data center cabinets are arranged between the bottom plate component and the vertical frame component in pairs, and the fire-fighting linkage skylight system is located at the top ends of the data center cabinets and the vertical frame component and can be in linkage with the monitoring sensing system. The channel door systems are located on the two sides of the cold channel respectively and can be in linkage with the access control system and the monitoring sensing system, and the purposes of safe opening and closing and emergency opening and closing are achieved. Meanwhile, an intelligent lighting system is further installed on the outer bottom face of the bottom short frame in the fire-fighting linkage skylight system, conventional lighting management can be achieved, highlight continuous lighting can be conducted in emergency, and reliable guarantee is provided for efficient operation, safety management and energy-saving control of a data center.

The invention discloses an intelligent parking lot vehicle monitoring system, and belongs to the technical field of parking lot vehicle management. Comprising a vehicle end, and the vehicle end is connected with an intelligent monitoring platform. The vehicle end comprises a vehicle running state information acquisition module, an AI intelligent early warning module and an active braking module; the intelligent monitoring platform comprises a real-time monitoring module, a data processing module and a remote control module. Through the Internet of Things, big data and AI technologies, all-weather monitoring, data analysis and abnormal early warning of the vehicle are realized; through the active brake module and the passive infrared detector, the safety performance of the equipment in emergency is enhanced, and automatic deceleration or emergency stop can be realized to avoid accidents; the active braking module assists operators, the influence of the environment and dense personnel on operation is reduced, and the operation safety and stability are improved. And meanwhile, intelligent scheduling is supported, vehicle operation is optimized, and the empty driving rate is reduced. A mobile terminal management function enables a manager to master the dynamic state of a field at any time and efficiently deal with emergencies.