407results about "Signalling system details" patented technology

The invention relates to the technical field of fire-fighting early warning, and discloses a fire-fighting early warning system based on image data relevance. The system comprises a multi-source image acquisition module used for acquiring fire-fighting scene multi-source heterogeneous image data; the correlation feature analysis module is used for performing cross-data-source correlation analysis on the data to generate feature vectors; the spatio-temporal dynamic modeling module is used for constructing a multi-dimensional feature fusion space to generate an associated spatio-temporal feature tensor; the resource optimization scheduling library is used for constructing a double-layer collaborative library; and the intelligent early warning control module generates a real-time fire early warning instruction and an emergency response decision through a hierarchical reinforcement learning framework. The system also has the functions of building structure deformation detection, smoke diffusion prediction and the like. Through cooperation of multiple modules, accurate fire-fighting early warning and efficient emergency response are realized, the fire prevention and control capability is improved, and life and property safety is effectively guaranteed.

The invention discloses a fire-fighting early warning system and method based on artificial intelligence, and relates to the technical field of intelligent fire-fighting early warning, and the system comprises an environment sensing module which comprises a multispectral sensor, a temperature sensor, a smoke sensor and a high-definition camera, and is used for collecting fire characteristic spectral data and transmitting the data to a data analysis module; the data analysis module comprises an edge calculation unit and a data fusion unit, and is used for performing feature extraction and anomaly detection on the fire feature spectrum data through a deep learning model to generate a fire risk assessment result; the early warning decision module comprises a risk assessment unit, an early warning grading unit and a communication unit, and is used for determining an early warning grade according to a fire risk assessment result and triggering equipment of the execution feedback module; and the execution feedback module comprises a spraying system, an emergency lighting system and an alarm and is used for executing fire emergency measures according to the instruction of the early warning decision module. According to the invention, comprehensive improvement of fire prevention and control efficiency is realized through cooperative work of multiple modules.

One or more reduced, same form, light emitting apparatus(es) spaced apart and configured to be mounted at various heights and / or spacing employ the same power consuming light source input that is covered by a symmetrical or asymmetrical redirecting linear lens optics apparatus that is configured for use in a range of mounting heights to uniformly illuminate at least one legal path of egress below. An exemplary light apparatus is a horizontally rotatable device configured to project an illuminated directional building evacuation symbol / text / image onto an illuminated egress path below.

A method and system of providing guidance and information to an end-user during an emergency situation. A network of beacon devices is arranged throughout different rooms of a physical structure, such as a house. When an emergency situation such as a fire is detected, for example via data collected from one or more smart sensors installed in the house, a navigation server can activate the beacon device network. Each beacon device will begin to provide navigation cues such as audio content and / or light display that guide the end-user to the nearest designated exit.

The invention belongs to the technical field of electric overhead working trucks, and provides a narrow-body self-walking working platform with a hybrid power system, which comprises a walking platform, a working device and a control system. The walking platform adopts a narrow-body four-wheel-drive chassis and is provided with a hybrid power system of a fuel engine and an electric pump, and the control system integrates an environment sensing unit, a stability calculation unit, a track prediction unit, an early warning unit and a control decision unit. The environment sensing unit constructs a high-precision three-dimensional environment map; the stability calculation unit calculates the overall gravity center position and the dynamic stability boundary of the platform in real time; the track prediction unit establishes a dynamic hydraulic system response model; and the early warning unit adopts an artificial potential field method to calculate a safety avoidance path. And the control decision unit automatically adjusts the control instruction according to the risk type and degree. According to the invention, the organic combination of environment perception, dynamic stable control, prediction trajectory planning and electrified body safety protection is realized, and the operation safety and efficiency of the aerial work platform are obviously improved.

Utilizing illuminated pathways to guide a user with cognitive impairment includes storing a predefined sequence of daily activities for the user; detecting a current location of the user in an indoor environment in real-time using at least one environmental sensor; activating selected light-emitting elements to create a first illuminated pathway between the current location and a first target location based on the predefined sequence of daily activities corresponding to the user; presenting at least one of task-specific audio and visual instructional content on a display device at the first target location for a current activity in the sequence; monitoring completion of the current activity through the at least one environmental sensor; deactivating the first illuminated pathway upon detecting arrival at the first target location; and advancing to a next activity in the sequence upon verifying completion of the current activity by illuminating a second pathway to a second target location.

A premises monitoring system is provided. The premises monitoring system includes a control device. The control device receives sensor data from at least one premises device located at the premises determines. The control device, based on the sensor data, a location of an occupant at the premises, an existence of an emergency condition at the premises, and a location of the emergency condition at the premises. The control device determines, based on the location of the emergency condition and the location of the occupant, an egress path, the egress path comprising a plurality of waypoints in a sequence from the location of the occupant to an egress point. The control device, in response to the occupant reaching one of the plurality of waypoints, causes generation of a guidance indication at a subsequent waypoint of the plurality of waypoints in the sequence.

The invention provides a smart city crowd dispersion system and method based on an Internet of Things large model, and a medium, the system comprises an emergency supervision management platform, and the emergency supervision management platform is configured to obtain area monitoring data through a monitoring device deployed in a monitoring area based on an emergency supervision perception control platform; determining a regional congestion risk based on the regional monitoring data; responding to the condition that the regional congestion risk meets the dispersion condition: determining emergency dispersion parameters based on the regional congestion risk, the emergency dispersion parameters including a traffic control parameter and a traffic guide parameter; based on the emergency dredging parameters, an emergency control signal is transmitted to an emergency dredging device deployed in a monitoring area through an emergency supervision sensing network platform, so that the opening interval of a channel gate machine is controlled based on the passing control parameters, and the display content of an electronic indication board is controlled based on the passing guide parameters; the display content comprises at least one of a display color, a dredging direction and a dredging route.

After earthquakes, buildings experience damages at different levels depending on various parameters. The extent of damage is determined based on observations such as cracks in structural elements, material crushing, and reinforcement damages. Decisions made are crucial for ensuring human safety and preventing economic losses. The invention pertains to a system which comprises a mobile application containing an automatic decision support system capable of assisting experts conducting field observations after earthquakes and performing damage classification at the element level.

The invention discloses a welding seam change detection device and method for a steel structure in a building, and relates to the technical field of building steel structure welding seam detection.The welding seam change detection device comprises a protective shell, a sensing module, a data processing module and an alarm module are arranged in the protective shell, and a mounting unit is further arranged at the bottom of the protective shell; the method further comprises the steps of S1 pretreatment of a weld joint detection area, S2 device positioning and installation, S3 system initialization and parameter configuration, S4 weld joint deformation signal collection, S5 signal processing and transmission, S6 anomaly analysis and alarm triggering and S7 continuous monitoring. According to the invention, the array-type magnetoelastic sensing unit is combined with the AD conversion chip unit and the signal amplification unit, so that high-resolution acquisition of microvolt-level signals is realized, and tiny deformation in transverse, longitudinal and shearing directions can be captured; meanwhile, through signal amplification in the step S3, the step S4 and the step S5, the early recognition capability of the tiny defects of the welding seam is remarkably improved, the sensitivity reaches 5 mu epsilon, and 0.1 mm-level microcracks can be accurately recognized.

A low-profile addressable egress lighting luminaire configured to illuminate a plurality of contiguous paths of egress that merge below the luminaire by using a plurality of horizontally positioned laterally rotational light sources, each emitting a directional elongated linear light beam onto a section of an egress path on the surface below.

A crowd control and security surveillance system comprising: an unmanned aerial vehicle (UAV) equipped with a variety of sensors and configured to collect real-time aerial data when deployed in an environment; a real-time data analysis module in conjunction with the UAV, comprising a machine learning-based processor for processing the data collected by the integrated sensor to detect anomalies, wherein the real-time data analysis module uses machine learning protocols to detect anomalies; an autonomous decision-making module in communication with the real-time data analysis module, configured to determine crowd behavior and analyze potential hazards, the autonomous decision-making module comprising a processor that determines the best course of action with respect to detected anomalies and crowd behavior based on commands received from the real-time data analysis module; a microcontroller operatively coupled to the UAV and its sensors, a real-time data analysis module, and an autonomous decision-making module, the microcontroller configured to operate a display unit and an audio unit configured to inform the crowd about the dynamic path planning and generate emergency alerts; a communication module connected to the microcontroller and configured to enable the UAV to communicate with ground control stations, other UAVs, and directly with the crowd via the display unit and the audio unit to send messages or use sound or light signals; and an integrated security system operatively connected to the autonomous decision module, the microcontroller, and the communications module and configured to coordinate response actions upon detection of a threat, wherein predefined security protocols stored in a memory are activated by the integrated security system when the autonomous decision module detects a threat.

A wearable device for emergency event evacuation and rescue is described herein. The wearable device can include a memory, and a processor configured to execute instructions stored in the memory to receive, while the wearable device is being worn by an occupant of a facility, a notification of an emergency event occurring in the facility, and transmit, responsive to receiving the notification of the emergency event occurring in the facility, a current location of the occupant in the facility and current health data of the occupant of the facility.

The invention discloses an Internet of Things networking scheduling method for railway tunnel disaster prevention illumination and evacuation indication, and relates to the technical field of railway tunnel disaster prevention. Comprising the following steps: S1, tunnel end monitoring equipment actively initiates environmental channel detection through a power line carrier communication network, scans impedance characteristics, noise levels and attenuation characteristics of different line sections in a tunnel, establishes a dynamic channel fingerprint database, and records an optimal communication frequency point and a channel quality threshold; and S2, performing real-time linkage between the local center monitoring main station and a fire alarm system, and after receiving a fire alarm signal, immediately generating a dynamic evacuation path through a disaster evolution prediction model according to a fire alarm position, a smoke diffusion state and a real-time channel state. The power line carrier communication module is utilized to actively perform channel detection and electrical parameter acquisition, a state channel fingerprint database is established, and fault diagnosis and state grading are performed based on the state channel fingerprint database, so that the overall reliability and maintainability of the scheme are improved, and the availability of equipment in a disaster is ensured.

The present invention relates to a wearable safety device 99 comprising: a device body 1 adapted to be secured to a user; a local alert system comprising at least one light source 65 and an audible alarm 35; an electronic control unit 51 comprising an alarm trigger and being configured to control the local alert system, wherein the electronic control unit is configured to continuously or repeatedly activate the light source to provide a visual alert, and wherein the electronic control unit is configured, upon actuation of the alarm trigger, to activate the audible alarm. The present invention also relates to a system comprising: a wearable safety device as aforementioned; and a software application for a user device, preferably a smartphone, wherein the software application is configured to broadcast an alert signal: based on a comparison between a planned route input by a user to the software application and data relating to the location of the user device; and / or upon actuation of the alarm trigger.

The invention discloses an intelligent medical management system based on artificial intelligence, and relates to the field of data processing, and the system comprises a sensing module which is used for sensing the position information of medical personnel in a hospital and an emergency transportation sickbed in real time; the labeling module is used for labeling available operating rooms on the in-hospital path three-dimensional topology in real time; by sensing the positions of medical workers and emergency transport sickbeds in real time, marking available operating rooms on a three-dimensional topology, intelligently deciding medical worker configuration and sickbed moving paths, visualizing the paths and directions through a public area display, and playing early warning audio to prompt evacuation, the first-aid efficiency is effectively improved, precious time is won for patients, and the medical workers and the emergency transport sickbeds are protected. And the first-aid channel is ensured to be smooth, so that the in-hospital multi-source resource scheduling arrangement of the medical first-aid scene is more scientific, reasonable and orderly.

The invention discloses a smart home illumination intensity monitoring and automatic adjusting method based on a sensor, and relates to the technical field of smart home illumination intensity monitoring and automatic adjusting, and the method comprises the following steps: installing an illumination sensor to monitor the indoor illumination intensity in real time, and collecting environment change data; the illumination sensor and the smoke sensor are integrated, an intelligent priority mechanism is combined, the user safety is guaranteed preferentially in an emergency, the emergency lighting system is started automatically, and the brightness is adjusted to ensure safe evacuation. An environment data fusion technology is adopted, various sensor data such as illumination, smoke, temperature and humidity are comprehensively analyzed, the living comfort is optimized, and the emergency response precision is improved. Meanwhile, based on the deep learning technology, the system can perform adaptive learning, optimize the emergency recognition and response capability, and improve the safety and reliability of the smart home.

A system includes a processor that collects and analyzes meteorological data and sensor data in real time, predicts future disaster risks based on past disaster data, detects abnormal patterns and identifies precursors of disasters, automatically issues warnings based on identified precursors, calculates optimal evacuation routes and provides them to users in real time, and supports information exchange between affected areas and relief teams.

Computer-based systems and methods provide location, information and call tracking, and the reporting, evaluation and transmission of required information in event of emergencies or violations to students, which systems and methods are monitored and controlled by a centralized authority. Such systems and methods also provide for tracking and / or monitoring an identified person of interest, such as a shooter, victim or person able to provide assistance, from a central facility and determining and guiding various categories of persons inside and outside of a designated geographic area around the person of interest based on information and data provided to the central facility by responsive mobile devices carried by the persons.

A server includes a memory on which a map is stored, wherein the map represents locations of a plurality of mobile units; and a processor, configured to generate an emergency response plan based on sensor data and the map, wherein the emergency response plan comprises actions to be taken by a plurality of robots within a vicinity of the mobile units; and instruct a transceiver to send a signal representing the emergency response plan.

The invention relates to the field of fire safety engineering, and discloses a fire-fighting deployment method and device under a PLC Internet of Things framework and an Internet of Things platform, and the method comprises the steps: firstly obtaining fire-fighting equipment in a target area, analyzing a cooperative linkage mode, and formulating an early warning response rule; analyzing a data transmission channel according to a rule, querying a performance threshold value, detecting channel performance data, calculating a resource conflict value according to the performance threshold value, and constructing a fire-fighting resource deployment process; secondly, partitioning a deployment process task, and determining an execution sequence and an execution time window; and finally, monitoring a window activity state, constructing a deployment response path, identifying a path core node, and making a fire-fighting optimization deployment scheme. And the response efficiency of fire early warning is improved.

A method (100) for estimating CO concentration in the interior of a vehicle (10) is provided. The method (100) comprises providing (110) sensor data representing a current CO concentration at at least one measurement location in and / or on the interior of the vehicle, evaluating (120) the sensor data to determine the current CO concentration at the at least one measurement location, determining (130) a correlation between the current CO concentration at the at least one measurement location and a current CO concentration at at least one target location in the interior of the vehicle, and estimating (140) the current CO concentration at the at least one target location at least partially based on the current CO concentration at the at least one measurement location and on the correlation between the current CO concentration at the at least one measurement location and the current CO concentration at the at least one target location.Furthermore, a computing unit (4), a system (1) and a vehicle (10) are provided.

In one instance, a system for locating users in an active emergency situation includes a plurality of user devices located within a coverage area; a computer capable of receiving data from and transmitting data to each of the plurality of user devices; a plurality of trackers located within the coverage area; a plurality of locator beacons located within the coverage area, wherein each of the locator beacons is associated with a location within the coverage area. At least one of the locator beacons wirelessly broadcasts a location signal indicating the location of the locator beacons. The location signal is received by at least one tracker. The tracker transmits the received location data to a mobile device, which in turn transmits the location data to the computer. The computer processes the location data to determine the location of the user, tracker, or mobile device within the coverage area.

A method is disclosed, including determining a configuration of boundary(s) associated with one or more danger zones in the vicinity of industrial equipment, causing projection of visual markers on surfaces, the visual markers being configured based on the configuration of the respective boundary(s), processing images captured of the visual markers to detect a boundary event related to the visual markers, the boundary event including the presence of an intruder that is a person or an object proximate to, crossing over, moving to, or moving from the visual markers, determining whether the boundary event is allowed, processing the captured images and / or captured audio to determine or infer a location of the intruder before, during, or after the boundary event, selecting, contingent on a determination that the boundary event is not allowed, automated action(s) based on the location of the intruder, and causing performance of the automated action{s}.

A system for responding to an emergency incident in a facility is described. The system includes a display device with a virtual map of the facility and a plurality of devices configured to be respectively worn by a plurality of users in the facility. Each device of the plurality of devices is configured to be activated upon detection of the emergency incident in the facility. When activated, each device of the plurality of devices is configured to provide a non-audible alert to other devices of the plurality of devices, provide an emergency indication along with its location data for display on the virtual map, and place a one-way audio call through a cellular network to at least one recipient.

The invention discloses a storage door lock linkage control method and system based on environmental perception, and relates to the technical field of industrial storage and dangerous goods storage management. According to the method, position and concentration correlation is carried out according to harmful gas concentration collected by environment sensing equipment in real time, harmful gas concentration measured values at multiple measured points are obtained, then the three-dimensional distribution condition of the harmful gas concentration in a target storage warehouse is obtained through inversion according to the measured values, and finally, the three-dimensional distribution condition of the harmful gas concentration in the target storage warehouse is calculated according to any measured point in the target storage warehouse. If it is found that the current harmful gas concentration at the corresponding measuring point reaches a preset concentration threshold value in real time according to the distribution condition, a locking instruction is sent to the door lock equipment, so that even if the poisonous gas leakage position is far away from the deployment position of the environment sensing equipment, the poisonous gas leakage condition can be found in time, and the safety of the environment sensing equipment is improved. And therefore, the treatment opportunity for the poisonous gas leakage condition cannot be delayed, a storage door lock is locked in time, dangers are avoided, and the safety of operation in a bin is improved.

The invention discloses an intelligent voice gas collector monitoring system and method based on star flash interconnection. The system comprises a storage module used for storing data generated by the system; the data acquisition and analysis module is used for acquiring sample data of a monitoring point through a gas collector for analysis; the safety early warning module is used for triggering an initial alarm or an emergency alarm according to an analysis result of the data acquisition and analysis module; the escape guidance module is used for simulating the layout of monitoring points and outputting a safe escape route based on deep learning model analysis; the gas equipment maintenance module is used for evaluating the health condition of the gas equipment according to the real-time monitoring data; the balance adjustment module is used for adjusting the number of monitoring points of the deep learning model to meet load balance; based on a communication mechanism of star flash interconnection, through programmed data acquisition and deep learning model training, the accuracy of gas monitoring is improved, secondary check of an image neural network model is introduced, and the accuracy of user escape decision analysis during gas leakage is improved.

The invention relates to the technical field of route optimization, in particular to a fire optimal escape route planning method and system based on a multi-modal fusion algorithm, and the method comprises the following steps: obtaining temperature, smoke and oxygen sensor readings and building information data, calculating the multi-source fusion criticality of each position and each moment of a building, obtaining a position time sequence fusion hazard value, and calculating the position time sequence fusion hazard value; and based on the position time sequence fusion hazard value, integrating numerical values of different time points, and establishing a time-varying hazard probability distribution diagram. According to the invention, through real-time acquisition and fusion of temperature, smoke and oxygen sensor readings and building information data, hazard degree dynamic evaluation of each position in a building is realized, a position time sequence fusion hazard value is constructed, and space hazard identification accuracy is effectively improved; thermal damage analysis and long-term fragility factor calculation of beams and columns in the building structure are further combined, and the bearing performance change of the building structure under the thermal action is comprehensively evaluated, so that the risk evaluation is more comprehensive.

The invention relates to the technical field of intelligent medical treatment, and discloses a control method of an intelligent medicine box and the intelligent medicine box, and the method comprises the following steps: the intelligent medicine box reads configuration data in a configurator, and carries out medication plan configuration on the intelligent medicine box based on the configuration data; when the medicine taking reminding time corresponding to the medicine taking plan arrives, displaying and prompting the medicine taking information through a display screen of the intelligent medicine box, performing sound prompting on the medicine taking information through sound output equipment of the intelligent medicine box, and performing light prompting through a medicine storage bin matched with the medicine taking information in the intelligent medicine box; medicine taking information corresponding to the intelligent medicine box is obtained, and a medicine taking record is determined based on the medicine taking information; and generating a medicine taking report according to the medicine taking plan and the medicine taking record.

A method of determining a probability of a fire occurring in one or more rooms of a building, comprising: determining a geometry of a room in response to a floor plan; determining whether one or more items are located within the room and a combustibility of each of the one or more items; determining whether one or more hazards are located within the room; and determining a probability of a fire occurring in the room in response to at least one or more items being located within the room, the combustibility of each of the one or more items, and the one or more hazards being located within the room.