104 results about "Person location" patented technology

The invention relates to a bridge crane operation dangerous area personnel intrusion detection method and system, and the method comprises the steps: obtaining the real-time position and speed data of a hoisted object through a sensor, analyzing the motion trail of the hoisted object through a deep learning algorithm, and obtaining the prediction result of the motion trail of the hoisted object; calculating a dangerous area boundary by adopting a dynamic model according to a hoisting object motion trail prediction result in combination with load mass and rope length data, and determining a dynamic dangerous area range; acquiring image data of an operation area through an image acquisition device, and identifying personnel positions in the image to obtain personnel position data; and when it is judged that the personnel enter the dynamic dangerous area range according to the personnel position data, an early warning signal is generated, a three-dimensional visualization technology is adopted to superpose the early warning signal to the field real-time image, visual early warning information is obtained, and the visual early warning information is displayed through a display device. According to the invention, dynamic and accurate prevention and control of the dangerous area are realized through multi-dimensional technology fusion.

The invention relates to the technical field of intelligent lighting control, in particular to an LED lamp energy-saving control method and system, and the method comprises the steps: obtaining environment data and user data; constructing a scene knowledge graph, and pre-storing illumination parameters of different scenes; performing standardization processing on the environment data and the user data, and obtaining a state vector in combination with the scene knowledge graph; inputting the state vector into a three-dimensional comfort level model to calculate a comprehensive comfort level score; if the comprehensive comfort level score is lower than a target threshold value, an illumination adjustment strategy is output through a dual-network illumination adjustment agent, the LED lamp is adjusted according to the illumination adjustment strategy, and the illumination adjustment strategy comprises light intensity adjustment, color temperature adjustment and light beam angle adjustment; and if the comprehensive comfort level score is higher than a target threshold value, lightweight light intensity gradient optimization is carried out, and the light intensity of the LED lamp is dynamically adjusted according to the position of the person. Therefore, the problems of insufficient environmental adaptability, lack of comfort consideration and the like in the prior art are solved.

The invention relates to the technical field of mine monitoring, and provides an intelligent mine safety monitoring system and method, and the system comprises a path network modeling device, a multi-source risk monitoring device, a personnel positioning and tracking device, a dynamic path updating device, and an intelligent evacuation guiding device. When any path risk level exceeds a preset safety threshold value, triggering an emergency evacuation instruction: calculating and generating a personalized optimal evacuation path for each person based on the currently updated three-dimensional topology model and the person position information; outputting evacuation information; the evacuation information comprises an emergency evacuation alarm of a whole mine broadcast level; and a real-time dynamic pointing instruction facing each node, the pointing instruction being generated according to the personalized optimal evacuation path and being presented through a physical indication device deployed at the node or a terminal device carried by a person. According to the technical scheme disclosed by the invention, workers in the mine can be timely guided to be evacuated.

The invention provides a man-machine interaction safety dynamic early warning method based on digital twinning and behavior prediction, and the method comprises the steps: S1, collecting the real-time data of a working site through a sensing layer, and enabling the data to comprise the personnel position, equipment state and environment information; s2, constructing a digital twin model based on the acquired data, wherein the model maps the dynamic state of a working site in real time; s3, generating a personnel behavior track and an equipment action range through a prediction algorithm, and calculating a dynamic risk field to evaluate space-time conflicts; s4, according to the risk value of the dynamic risk field, triggering a multi-stage early warning mechanism to reduce the risk of the operation field; and S5, displaying the real-time state and risk information in the digital twinborn model through a visual interface. According to the invention, through deep fusion of digital twinning and dynamic risk prediction, real-time monitoring and accurate prevention and control of the safety risk of the operation site are realized, and the safety management efficiency and the operation safety are greatly improved.

The invention discloses an electric power personnel illegal behavior identification method and system based on multi-frame multi-level joint discrimination, which is applied to the technical field of electric power operation safety supervision, and comprises the following steps: detecting the positions of all personnel in each frame of image in a video stream, adopting a ByteTrack algorithm as a core tracker, introducing a score grading matching strategy, and carrying out classification matching on the positions of all personnel in each frame of image in the video stream; taking the weighted sum of the spatial consistency and appearance feature similarity of the new detection frame as a final association degree quantity, distributing a unique identity code for a successfully associated personnel target, and recording track information in continuous frames; performing illegal behavior classification and illegal article detection on each frame of personnel area image; and calculating a joint confidence score of a frame where the personnel region image with the behavior category and the article category having a logic correspondence relationship is located, counting the number of frames exceeding a preset joint confidence threshold in each power personnel trajectory, and calculating an illegal behavior existence rate to judge an illegal behavior. According to the invention, the illegal behavior identification precision of the power personnel is effectively improved.

The invention provides a method, a system and equipment for positioning global personnel of a building based on digital twinning. The method comprises the following steps: acquiring video data shot by each camera in a multi-camera system; obtaining a mapping relation among the world coordinates, the pixel coordinates and the camera parameters; key point detection is carried out on personnel in the video to obtain personnel pixel coordinates; establishing a conversion relation between each camera coordinate system and a global world coordinate system based on multi-camera attitude transfer, and unifying personnel positions in the multiple cameras to the global world coordinate system; performing matching optimization on the same person observed by different cameras in the global world coordinate system based on distance constraint and epipolar constraint; finally, multi-source information fusion and personnel position and quantity perception under a global perspective are realized. According to the invention, the information shot by a plurality of monitoring cameras can be fused, the digital twinning technology is combined to realize the intelligent perception of the position and number information of people in the building scene, and the precision and real-time performance of crowd monitoring are improved.

A system includes non-transitory computer-readable storage media configured to store instructions and processors communicatively coupled to the non-transitory computer-readable storage media. The processors may execute instructions, which may cause the system to perform operations. The operations may include obtaining first data associated with a person location, where the first data may be a subset of a collection of person location data. The operations may also include obtaining second data associated with one or more displays in a venue, where the second data may be a subset of a collection of display data. The operations may further include determining a first weight corresponding to the first data relative to the collection of person location data and a second weight corresponding to the second data relative to the collection of display data. The operations may also include obtaining an estimate of the viewership data using the first data and the second data.

The invention provides a trapped person position state analysis method and system, and relates to the field of data processing. According to the method, building structure distribution, conductive fluid flow channels and metal component distribution in a disaster target area are constructed to form a background entropy flow ground state, and noise intensity probability distribution, a channel joint fluctuation relation and a time stability index are counted to generate a background entropy flow field. In the search and rescue stage, a background entropy flow field is converted into a controlled mode through active disturbance, multi-physical channel noise responses before and after disturbance are collected through a multi-field passive sensor network, and a multi-dimensional local entropy response vector is constructed. And combining the consistency, directivity and duration of the multi-noise channel to identify an initial suspected region and extract an entropy anomaly core region, finally inferring metabolic activity and posture limitation conditions according to a local entropy response cooperative relationship in different disturbance modes, and outputting a position state result of the trapped person. By implementing the technical scheme provided by the invention, the position state of the trapped person can be accurately identified.

A management system (100) for managing the state of an object and the environment in an indoor monitoring space (1) comprises: an environment measurement means for measuring a gas environment within the space; a person measurement means for measuring a person present in the space; a position measurement means for measuring the position of an object moving within the space; an apparatus state measurement means for measuring the operation state of an apparatus within the space; a spatial state calculation unit for calculating the spatial state within the space from the measured gas environment data and the measured person data; a position information management unit for managing the position information pertaining to the object in accordance with the measured position data of the object; an apparatus state management unit for managing the operation state of the apparatus in accordance with the operation data of the apparatus; and a display control unit that superimposes the spatial state, the position information pertaining to the object, and the operation state of the apparatus on an image indicating the shape of the monitoring space (1), and displays the superimposed image on a display means.

We provide the system. [Solution] A means for acquiring video data and analyzing the location of workers within the office, A means for designing the optimal traffic flow based on the above analysis results, A means of outputting the designed movement flow information, A system that includes this.

The invention discloses an operator position monitoring method, device and equipment and a medium, and the method comprises the steps: binding pre-obtained target operator information with corresponding business data, and generating a safety constraint of a target operator according to the business data; acquiring multi-source positioning data of the target operator in real time through a positioning terminal worn by the target operator, and inputting the multi-source positioning data into a preset neural network, so that the neural network performs data fusion on the multi-source positioning data to generate a correction position of the target operator; and through a preset reinforcement learning algorithm, according to the correction position and the security constraint, generating an optimal security path, and according to the optimal security path, carrying out monitoring and risk assessment on the current correction position of the target operator. According to the invention, the real-time performance and accuracy of the position monitoring of the operating personnel can be improved.

This invention discloses a method, apparatus, device, medium, and program product for pushing delivery information. It includes: acquiring delivery video content information, delivery person location information, and identity authentication information; generating a delivery video ringback tone based on the delivery video content information, delivery person location information, and identity authentication information when a delivery call is initiated; and pushing the delivery video ringback tone to the receiving end of the delivery call. When a delivery person initiates a delivery call to a user, a delivery video ringback tone containing various delivery-related information is generated and pushed to the user, allowing the user to securely and fully obtain delivery information without having to answer the delivery person's call, improving the delivery rate of delivery information, and simultaneously enhancing the accuracy and transmissibility of the delivery information obtained by the user.

The invention discloses a safety detection system and method for a sealing ring flat vulcanizing machine, and solves the problems that a traditional static protection system is single in detection and poor in adaptability, the system comprises a detection module, a processing module, an early warning execution module and a self-learning module, acquiring the position and posture of a person and the motion trail of an equipment part in real time; the processing module generates a double-track dynamic comparison model and calculates a real-time risk, and dynamically adjusts a safe distance threshold value in combination with the self-learning module; according to the method, closed-loop control is formed through track comparison, distance verification, data collection and threshold value optimization, the system supports operator identity recognition and personalized safety strategies, intelligent safety protection in a complex human-computer interaction scene is achieved, and the safety of the human-computer interaction scene is improved. The detection precision and the response flexibility are obviously improved, and the production safety and the equipment operation efficiency are balanced.

The invention relates to the technical field of the Internet of Things, in particular to an intelligent personnel scheduling management method based on the Internet of Things, which comprises the following steps of: acquiring multi-source data such as positions, physiology and behaviors of personnel, and calculating individual risk scores by fusing surrounding personnel and historical relationships; generating an aggregation risk topological graph from the risk scores through a preset kernel function; and analyzing a risk peak value in the graph, matching an optimal executor through a multi-objective optimization algorithm, and generating a scheduling instruction. According to the method, discrete individual risks are converted into a visual global risk view, automation and optimization of scheduling decisions are realized based on dynamic analysis of the risk situation, and the risk early warning accuracy and the emergency response efficiency are improved.

A robot assembly for safe operation in a manufacturing setting with humans including a sensor for detecting movement of the robot assembly and a human location. A positional apparatus including at least one tag located on the robot apparatus and at least one detector for detecting the tag. Posture nodes associated with a human saved in memory. A method that includes, generating a task movement plan based on images captured by the sensors, tags detected by the detector, and posture nodes of a nearby human captured by the sensor.

The invention relates to the technical field of monitoring, in particular to an intelligent monitoring method and system for residential area security. According to the technical scheme, the method comprises the following steps that identity information of a visitor is obtained and verified, a visitor information file is established after verification is passed, and an activity permission area is distributed; monitoring data are collected and preprocessed, and monitoring information data and visitor position information are obtained. Dangerous action recognition is performed on the monitoring information data, and danger recognition factors are obtained in combination with the position information of the visitor. And judging whether the danger identification factor is greater than a preset standard factor, if so, sending an alarm signal, and if not, not sending the alarm signal. The dangerous action recognition precision is high, the recognition accuracy is higher, the response speed is higher, and potential safety hazards can be found in time. Excessive manual intervention is not needed, the labor cost is effectively reduced, careless omission of manual guarding is avoided, and the intelligent level of security work of the residential area is improved.

The invention provides a method for predicting positions of lost persons under mountain torrent and debris flow disasters, and belongs to the field of disaster rescue. The method comprises the following steps: acquiring multi-source data fusing a thermal infrared image, a radar image and a terrain; feature extraction is carried out on the acquired multi-source data, so that the positions of the lost persons under the mountain torrent and debris flow disasters can be identified in a multi-source mode from person tracks, human body heat radiation and human body skeleton detection; constructing a comprehensive analysis function based on the extracted features; and based on the comprehensive analysis function, obtaining predicted values of different positions at the time t, and completing prediction of the position of the lost person. The invention aims to solve the problems of low accuracy and low efficiency of the existing lost person position prediction method.

The application relates to the technical field of personnel position determination, in particular to a key personnel position determination method, device and equipment, wherein the accuracy of historical personnel position determination, a historical average time attenuation factor and an average spatial correlation degree are used to dynamically and adaptively determine the weight corresponding to the perception data type. Based on the determined weight corresponding to the perception data type, the time attenuation factor can improve the time sensitivity of the personnel position determination, and the address confidence degree is fused to finally accurately determine the comprehensive score of the address, and the key personnel position is determined based on the comprehensive score of the address, so that the working efficiency can be improved, the personnel cost can be reduced, and the response speed can be improved.

The invention provides a visual monitoring method for a computing device, and the method comprises the steps: determining the parameters of a processing device through responding to the access information of an access person and combining whether the position of the person is in an access region or not through employing a following strategy and a fixed point strategy, and achieving the dynamic purification of the movement and fixed operation scenes of the person; according to the method, for the cabinet opening scene, the recording moment is determined by analyzing the assistance analysis chart, the wind power and the swing angle are matched in combination with the position relation between the lateral contour of the personnel and the contour of the cabinet and the attribute information of the associated disconnection component, and precise purification treatment of the equipment in the computer cabinet is controlled. Dust diffusion is treated in a targeted mode, and the operation environment is clean.

A surveillance system having a person detector includes an imaging sensor for recording digital image files or point clouds and includes an evaluation unit that is configured to evaluate the image files or the point clouds and to output position information of a person detected in a surveillance region, wherein a diagnostics unit has a first input channel for receiving the position information, a first output for checked position information of the detected person, and has a second output for an error signal, where the diagnostics unit is provide with a checking unit for checking the output of the position information of the detected person for plausibility with a plurality of plausibility criteria and is further configured to detect an error and output the error signal at the second output, if at least one plausibility criterion is violated.

The invention relates to a method for managing emergencies in the healthcare and industrial sectors, wherein said method is implemented by means of a hardware architecture comprising asset tags which can be associated with persons and objects, beacons configured to determine the position of said asset tags and at least one gateway for collecting the data transmitted by the beacons and sending said data to a monitoring platform, and wherein said method comprises at least the following steps: - Preparation of classifications of persons and objects on the basis of pre-established emergency intervention priority classes; - initialization of each asset tag according to the person or object with which it is associated and the priority class associated with that person or object; and - in the case of the activation of a state of emergency; - real-time tracking of persons and objects using the above-mentioned monitoring platform; and - Mapping the location of persons with an indication for each person of the priority level of the rescue operation based on the priority class indicated by the tag with which that person is associated.

The application is suitable for the technical field of personal safety guarantee, and provides a sound guiding evacuation method and system based on building corridors, which comprises the following steps: firstly, in response to a pre-warning signal, real-time personnel position information of target personnel and safety exit position information of a target safety exit are quickly acquired; then, according to the real-time personnel position information and the safety exit position information, a plurality of target loudspeakers are effectively determined; finally, based on the plurality of target loudspeakers, sound guiding instructions are accurately generated and executed. The application can realize effective escape of target personnel by using sound guidance, establish a continuous sound path with real-time direction for trapped personnel, avoid the functional blind area of the traditional visual guiding mode in the visibility zero or crowd congestion scene, significantly improve the success rate and reliability of personnel evacuation in extreme environment, and greatly improve the safety.

The invention relates to the technical field of elevators, in particular to a quick positioning and information interaction system for elevator emergency rescue, which comprises a personnel detection module, a fault detection and judgment module, a quick positioning module, an information interaction module and a paperless operation module, the personnel detection module and the rapid positioning module work cooperatively, so that rescue personnel can rapidly determine the position of a trapped person and plan an optimal rescue route, the rescue response time is greatly shortened, the pain and danger of the trapped person are reduced, the information interaction module realizes multi-party real-time communication, accurate rescue instruction transmission and reasonable resource allocation are guaranteed, and the rescue efficiency is improved. And the fault detection and judgment module effectively supervises the maintenance process, false maintenance is avoided, it is ensured that the elevator reaches the safe operation standard after being maintained, secondary faults are prevented, and the follow-up safety of elevator passengers is guaranteed.

Computing device(s) are configured for managing the reunification of students with parents during an emergency or a drill for a simulated emergency. The reunification of students with guardians may be managed through the operations of various user interfaces (UIs) presented on the device(s). Different UIs may be configured to support different personnel performing different roles in the reunification process. The UIs may include one or more of a student supervisor UI, a location supervisor UI, a runner UI, a guardian greeter UI, a reunification officer UI, or an incident commander UI. The various UIs enable different personnel to track the location and status of individuals, such as students and guardians, during various stages of a reunification process, enable personnel to dynamically update a centralized database with current information regarding the location and status of individuals, and view real time information regarding the location and status of individuals.

This invention discloses an augmented reality system for remote emergency medical guidance in ambulances based on edge computing, relating to the field of medical emergency information technology. It includes: a digital twin construction module: acquiring a field digital twin space constructed by edge computing nodes deployed within the ambulance, the field digital twin space containing a three-dimensional structural model of the ambulance's interior, personnel location information, and equipment distribution information; and an instruction receiving module: acquiring a first collaborative instruction sent by a remote guidance terminal, the first collaborative instruction containing a sequence of hand gestures performed by a remote expert in a three-dimensional scene. This invention constructs a three-dimensional digital twin space within the ambulance using edge computing nodes, mapping the hand gestures of the remote expert into the digital twin space in real time, enabling the remote expert to convey operational intentions to on-site medical personnel through intuitive gestures.

The application provides a method for predicting the position of missing personnel under debris flow disaster, and belongs to the field of disaster rescue. The method comprises the following steps: obtaining multi-source data fused with thermal infrared image, radar image and terrain; performing feature extraction on the obtained multi-source data to detect the position of missing personnel under debris flow disaster from the multi-source identification of personnel trajectory, human body heat radiation and human body skeleton; constructing a comprehensive analysis function based on the extracted features; obtaining the prediction value of different positions at time t based on the comprehensive analysis function, and completing the prediction of the position of missing personnel. The application aims to solve the problems of low accuracy and low efficiency of the existing method for predicting the position of missing personnel.

The invention discloses a fixed-person monitoring method and system based on a visual image, and relates to the technical field of computer vision, and the method comprises the steps: generating a structured raster trigger instruction; starting a near-infrared coding grating projection action according to the structured grating trigger instruction, synchronously acquiring a grating deformation image of a target area, calling a medium optical parameter set to perform feature enhancement processing on the grating deformation image, and outputting a personnel contour image with a clear boundary; setting a measurement reference point in a monitoring scene, obtaining a three-dimensional space absolute position of the measurement reference point, and establishing a mapping relation between an image coordinate of the measurement reference point and the three-dimensional space absolute position; and extracting human body appearance features from the contour image of the personnel with clear boundaries, determining personnel position coordinates by combining the mapping relation and the human body appearance features, and outputting a position coordinate list. According to the method, the mapping relation between the two-dimensional image coordinates and the three-dimensional space absolute position is established, so that accurate restoration of personnel space distribution in a complex monitoring scene is realized.

The invention discloses an SDN-based data center facility management method, equipment and a medium, belongs to the technical field of data center facility management, and is used for solving the problems that data center facilities mainly depend on a manual personnel access management mode, personnel positions cannot be accurately managed, part of access control needs to be opened through manual cooperation, and the data center facilities cannot be accurately managed. The efficiency is low; and the safety cannot be ensured. The method comprises the steps of performing verification processing on statistical management information to obtain management completion information; carrying out binding processing on the AP equipment and the equipment cabinet position, and determining equipment binding equipment information of the equipment cabinet; performing information checking and access information configuration processing on the user report access information to obtain access configuration completion information; carrying out passing access information generation processing related to the mobile equipment of the foreign personnel on the access configuration completion information to obtain temporary passing access information; and performing timeout deletion and re-acquisition processing on the temporary access information to complete personnel access management of the data center facility.

The invention discloses an indoor personnel tracking method based on an electrostatic sensing technology, and the method comprises the steps: obtaining electrostatic signals when a person reaches different positions of a room through an electrostatic sensor array, a signal conditioning circuit and a microprocessor unit; training a recurrent neural network according to the electrostatic signal time sequence and the personnel position, and deploying a trained recurrent neural network model to a microprocessor; according to electrostatic signals generated by indoor personnel activities, an electrostatic signal time sequence is acquired in real time; and inputting an electrostatic signal time sequence acquired in real time into the microprocessor, and predicting the position of the indoor personnel through the trained recurrent neural network model to obtain a position prediction result. According to the invention, people do not need to carry any equipment, and real-time tracking of the position of the people can be realized through the electrostatic sensor array.