66 results about "Person location" patented technology

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 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.

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 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.

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 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.

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 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.

To control a lighting device in accordance with a situation by improving detection accuracy of a position of a person.SOLUTION: Lighting system 10 includes lighting device 1 that adjusts an irradiation state including at least one of an irradiation direction or a focal length and irradiates an irradiation region, control device 500 that controls the irradiation state of the lighting device, and sensor 102 that detects the presence or absence of a person in each of a plurality of detection regions. Irradiation state data specifying the irradiation state corresponding to the position detection model is specified, and the irradiation state to the irradiation area is controlled based on the irradiation state data.SELECTED DRAWING: Figure 1

The invention discloses a coal mine area personnel limit monitoring method, device and equipment, a medium and a product. The method comprises the following steps: acquiring image data of a coal mine area access channel at the current moment in real time, and preprocessing to obtain processed image data; performing background detection and updating processing on the processed image data according to a background model and an image segmentation threshold value at the previous moment to obtain a foreground model and a background model; performing personnel fitting modeling on the foreground model to obtain a spatial position set of all personnel in the foreground model; and according to the spatial position set, a time sequence bipartite graph matching method is adopted to generate a personnel movement track of the coal mine area, and the real-time number of people in the coal mine area is determined so as to carry out area personnel limiting monitoring. The method can accurately position the positions of people in the foreground, avoids repeated counting or missed counting, guarantees the accurate real-time counting of people in the region, and provides reliable data support for personnel limit monitoring.

This invention relates to an AI binocular camera and a wireless remote-controlled forklift automatic following method and system, relating to the field of forklift control. The method includes: responding to a first command, activating the AI ​​binocular camera to perform field-of-view detection and collect personnel information; determining a person's image and audio based on the personnel information; performing motion recognition based on the person's image to obtain the person's position and extracting key node parameters of the human body; annotating the person's image based on the key node parameters, and sequentially connecting the divided motion sequences to obtain a trajectory defined as a changing trajectory; determining a motion handling command based on the person's image and the changing trajectory; performing speech recognition based on the person's audio to obtain a voice handling command, and determining handling parameters based on the voice handling command and the motion handling command; determining movement parameters based on the handling parameters, and wirelessly remote-controlled forklift following the personnel using the movement parameters. This application has the effect of improving work efficiency.

The invention relates to the technical field of personnel position detection based on electronic equipment, in particular to a personnel position real-time identification method. A personnel position real-time identification method comprises the steps that firstly, one detection unit of a pressure sensor, an infrared induction unit and a millimeter wave radar is used for detecting the position of a person, and the detected position of the person is marked as a first target position; performing personnel detection on the first target position by using another method, verifying the position of personnel in the first target position, and marking the adjusted target range as a second target position; and finally, verifying the second target position by using the other one, verifying the position of a person in the second target position, and marking the adjusted target range as a third target position. The three detection units are used for detection in sequence, the target area can be verified step by step conveniently, the accuracy degree is higher, and the problem that in the prior art, false detection is caused by the adoption of a single detection unit, and consequently the experience of visitors is affected is solved.

The invention provides an implementation method of an intelligent robot safety positioning and real-time early warning system for old people. The system is composed of a robot, basic equipment and use equipment. The system has the following functions: (1) effectively protecting private data such as health parameters and private information; (2) under the condition that the old people move, real-time positioning and continuous monitoring of physiological parameters can still be realized; (3) when the health parameters of the old people are abnormal, early warning information can be sent to a plurality of monitoring personnel at the same time, so that cooperative rescue is realized; (4) multiple monitoring personnel are supported to acquire health data of the same old person at the same time, and collaborative analysis can be conveniently carried out; and (5) under the condition that the position of the monitoring personnel is moved, the health parameters of the old people can still be continuously monitored. The method has a wide application prospect in the field of intelligent medical treatment.

The present application relates to a kind of unsafe behavior intelligent identification method based on YOLO, belong to image recognition field.The present application is for the input scene picture, using YOLOv7 to carry out target detection to picture, output the position information of personnel contained in scene, whether wear safety helmet, whether wear work clothes;Using high-low lens algorithm judges input scene picture belongs to high lens or low lens;According to the input scene picture, select the dangerous area discrimination decision tree model under the corresponding scene;Decision tree model discriminates according to the input 5 parameters whether the human body corresponding to this data is in dangerous area;The personnel position, whether wear work clothes, whether wear safety helmet and whether in dangerous area in the result of step S1, S4 are integrated, and the unsafe behavior grade of personnel in scene is output according to the requirement of label.The algorithm scheme proposed in the present application can quickly and accurately identify the unsafe behavior grade of personnel in video monitoring scene.

In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.

The embodiment of the application provides a high-climbing behavior identification method, device, system and mobile robot. In the embodiment, when a suspected high-climbing behavior is identified through target personnel position information and object position information of at least one object, whether there is a person who is not suitable for high climbing is determined according to a target personnel image collected by an image collection component, if there is, whether the target personnel has a high-climbing behavior is identified based on N collected images, and the identification of the high-climbing behavior is realized. Further, the optimal collection position is determined according to the occlusion of the specified key part of the target personnel identified through the target personnel image, and then the high-climbing behavior is identified according to the image collected at the optimal collection position, so that the false detection of the high-climbing behavior caused by the large occlusion of the specified key part of the target personnel is reduced. Further, whether the target personnel has a high-climbing behavior is identified through multiple images, so that the accuracy of the identification of the high-climbing behavior is improved.

This utility model discloses an integrated emergency lighting device capable of real-time detection of human body location. The device includes an emergency lighting fixture body, which integrates a millimeter-wave radar sensing module, a thermal imaging sensor, a voice recognition module, a CO gas sensor, a PLC control module, a drive unit, and an audible alarm. The millimeter-wave radar sensing module, thermal imaging sensor, voice recognition module, CO gas sensor, drive unit, and audible alarm are all electrically connected to the PLC control module. The emergency lighting fixture body has two evacuation lights, each electrically connected to the PLC control module via a drive unit, forming independent working circuits that do not interfere with each other. This utility model can promptly monitor and locate the position of trapped personnel, providing firefighters with accurate rescue information, improving rescue precision, avoiding blind searches, shortening rescue time, and reducing casualties and property damage.

This invention discloses a personnel monitoring method and system based on visual images, belonging to the field of computer vision technology. The method includes: generating a structured grating trigger command; initiating a near-infrared coded grating projection action based on the structured grating trigger command, simultaneously acquiring grating deformation images of the target area, calling a set of medium optical parameters to perform feature enhancement processing on the grating deformation images, and outputting clear personnel outline images; setting measurement reference points in the monitoring scene, obtaining the three-dimensional absolute position of the measurement reference points, and establishing a mapping relationship between the image coordinates of the measurement reference points and their three-dimensional absolute positions; extracting human body shape features from the clear personnel outline images, combining the mapping relationship with the human body shape features to determine the personnel position coordinates, and outputting a list of position coordinates. This invention achieves accurate reconstruction of personnel spatial distribution in complex monitoring scenarios by establishing a mapping relationship between two-dimensional image coordinates and three-dimensional absolute positions.

The application relates to the technical field of data processing, in particular to a multi-dimensional trusted authentication system based on data processing. The system obtains environmental characteristic information, position information of each guard, action track information and identity characteristic information by real-time monitoring within a preset range of a place, generates multi-dimensional trusted input information and encrypts transmission, pre-processes and abnormally detects the multi-dimensional trusted input information to eliminate abnormal multi-dimensional trusted input information, constructs an authentication model based on the same to output a response decision, counts authentication duration, judges the authentication process, determines the reason for unqualified authentication process, and generates an instruction for regulating the output power of a light supplementing device in a data collection process, or the update time of a biological characteristic recognition model, or the key update time in a data transmission process, thereby reducing interference on the process of obtaining multi-dimensional trusted input information, improving the trustworthiness of the multi-dimensional trusted authentication process, and improving the security and efficiency of trusted authentication.

The present application relates to the technical field of Internet of Things, in particular to a personnel intelligent scheduling management method based on Internet of Things, comprising: acquiring personnel position, physiology, behavior and other multi-source data, and fusing surrounding personnel and historical relationship to calculate individual risk score; generating aggregated risk topology map through preset kernel function; analyzing risk peak in the map, matching optimal performer through multi-objective optimization algorithm and generating scheduling instruction. The present application converts discrete individual risk into intuitive global risk view, and realizes automation and optimization of scheduling decision based on dynamic analysis of risk situation, thereby improving risk early warning accuracy and emergency response efficiency.

The invention relates to a method for operating active noise suppression in the environment of a motor vehicle (1), comprising: providing noise information (20) that describes a noise caused at least partly by the motor vehicle (1) in the environment of the motor vehicle (1); providing at least one person position information (28) that describes a position (5) of a person (4) in the environment of the motor vehicle (1); determining anti-noise information (31) that describes an anti-noise with respect to at least a part of the noise, wherein the determined anti-noise is direction-dependent and attenuates at least part of the noise less strongly or not at all for a second area (8) of the environment in which the position (5) of the person (4) is located, by applying an anti-noise determination criterion (32) to the received noise information (20) and the received at least one person position information (28);and operating the active noise suppression by generating the anti-noise according to the determined anti-noise information (31) by means of an anti-noise generating device (35) of the motor vehicle (1).;

The application is suitable for the technical field of conference room management, and provides a conference room position intelligent management method and platform. The application receives conference related information, selects a target conference room, determines multiple conference positions and corresponding position importance sequences, determines multiple conference attendees, calculates conference importance values of the multiple conference attendees, determines multiple personnel importance sequences, performs personnel position matching, displays personnel names in multiple conference nameplates, performs personnel entry monitoring, matches corresponding entry nameplates, and performs flashing guidance control. The application can plan position importance sequences of multiple conference positions, personnel importance sequences of multiple conference attendees, perform personnel position matching, display personnel names in corresponding conference nameplates, perform personnel entry monitoring and nameplate flashing guidance, realizes fine management of conference attendee position arrangement, improves the convenience of conference speeches, and effectively avoids the probability of repeated communication, interruption and conference interruption.