134 results about "Heartbeat detection" patented technology

The invention relates to the technical field of protocol services, in particular to an event-driven artificial intelligence context protocol service registration and discovery method. The method comprises the following steps: firstly, receiving a service instance registration request, constructing a service registry, and recording a service address and capability description; obtaining the health state of the instance through heartbeat detection; monitoring the state change and converting the state change into a standard event; the SSE technology is adopted to establish long connection and push the filtered events in real time; client connection is maintained, and automatic reconnection and session recovery during abnormity are realized; service capability is analyzed based on semantic comprehension, and accurate matching of requirements is realized; millisecond-level state perception is realized, polling overhead is avoided, service continuity is ensured through intelligent matching and session recovery, and the method is suitable for high-real-time intelligent agent application scenarios.

The invention discloses a high-concurrency real-time message pushing system and method based on an SSE protocol, and relates to the technical field of communication. Comprising the steps of 1, establishing a high-concurrency real-time message pushing system, 2, performing access, heartbeat detection, connection state management and load balancing of a client through an access module, performing dynamic strategy allocation based on tenant ID hash through a load balancer of the access module, routing client requests to different SSE servers, and sending the client requests to the SSE servers. 3, caching and routing management of messages are carried out through a message management module, distributed message middleware kafka is used as a cache queue through the message management module, real-time messages sent by a service system are received, and the messages are stored in a classified mode according to top and Tenant; the connection metadata comprises a connection ID, a client subscription topic and a timestamp, and step 5, monitoring the connection number of each node in real time through a monitoring module, triggering connection migration and message reissuing when the node fails, removing the information of the failed node, and notifying a load balancer to route the original connection to other nodes. And meanwhile, the message management module is notified to re-push the message which is not successfully pushed by the fault node to the new node, so that the message is prevented from being lost.

The invention discloses a breath and heartbeat detection method and system based on an FMCW (Frequency Modulated Continuous Wave) radar. The method comprises the following steps: acquiring a continuous wave signal sent by an FMCW millimeter wave radar to detect a target object so as to obtain a reflected echo signal; the echo signals are preprocessed; separating a respiration signal from a heartbeat signal of the preprocessed echo signal based on an EPH multi-stage cooperative signal processing algorithm; and carrying out anomaly correction on the separated instantaneous frequency anomaly data based on a local weighted regression algorithm. Therefore, the vital sign detection accuracy of the radar can be improved under the interference conditions of background noise, signal harmonic waves and the like.

The invention discloses a heartbeat detection method and device based on video and millimeter wave radar fusion, equipment, a medium and a product, and relates to the field of heartbeat detection. The method comprises the following steps: acquiring multi-modal sensor data; performing video modal heartbeat feature extraction according to the face video data stream based on a space attention mechanism to obtain a video heartbeat feature embedded vector; then heartbeat feature extraction is carried out, weighted fusion processing is carried out based on an attention mechanism guided by a video, and a radar heartbeat feature embedded vector is obtained; dimension normalization processing is carried out on the video heartbeat feature embedded vector and the radar heartbeat feature embedded vector, an environment feature vector is obtained through global average pooling, scene division is carried out based on a scene classifier, and a scene classification result is obtained; and after determining a multi-modal fusion weight according to the environment feature vector and a scene classification result, carrying out heartbeat signal reconstruction to obtain a heartbeat signal sequence. The objective of the invention is to improve robustness and detection precision.

The invention discloses an automatic remote control method and system for a port machine, and relates to the technical field of automation, and the method comprises the steps: front-end processing equipment is connected with a lifting appliance positioning sensor and a motor driver, generates an equipment topological graph, is connected with a plurality of port machine PLC networks through a Profibus-DP coupler, and outputs a network state report; meanwhile, a dual-redundancy operation platform interface is configured and a state identification signal is output; based on the state identification signal, constructing an all-optical link and generating an optical fiber path topology, performing layered transmission on a lifting appliance control instruction and a path instruction, establishing a heartbeat detection mechanism and triggering a state confirmation signal; receiving a state confirmation signal and the wavelength allocation table, and acquiring laser radar point cloud data through a dedicated channel to execute lifting appliance obstacle avoidance correction; and based on the operation control authority and the new optimal path sequence, constructing a digital twin, and generating a scheduling report through an LSTM model. According to the method, the special channel and the shared channel are constructed, so that instruction blocking is eliminated.

The invention discloses a memory synchronization method and system in a virtualization fault-tolerant environment, and relates to the technical field of data processing. The method comprises the following steps: capturing a memory write-in operation of a main node of a virtual machine, and generating a memory write-in log; dividing the memory write-in log into a plurality of memory data blocks through multi-thread processing; synchronizing the memory data block into the memory of the virtual machine standby node, and maintaining heartbeat detection between the virtual machine master node and the virtual machine standby node; and when detecting that the heartbeat of the main node of the virtual machine is abnormal, triggering the standby node of the virtual machine to carry out rollback takeover by utilizing the synchronous memory data. The technical problems that in the prior art, in the virtualized fault-tolerant environment, the memory data synchronization efficiency of main and standby virtual machines is low, the data consistency guarantee is insufficient, and the main node fault takeover delay is large are solved, and the technical effects that the memory synchronization real-time performance and accuracy are improved, rapid seamless takeover of the standby node is guaranteed, and service continuity is ensured are achieved.

The invention discloses a data network interaction system for rail transit data transmission, which relates to the technical field of data transmission and comprises a data acquisition module, an intelligent exchange scheduling module, a real-time processing module and a high-reliability transmission guarantee module. And high-speed and reliable transmission is ensured through a 10-gigabit point-to-point direct connection channel, and meanwhile, continuity is ensured by adopting a redundant link, so that efficient, stable and real-time processing of rail transit data is realized. According to the invention, a high-speed dedicated channel is constructed through direct connection of the 10-gigabit Ethernet, and hierarchical transmission of multi-source data is realized in combination with an intelligent scheduling strategy; meanwhile, hardware-level heartbeat detection and redundant links are deployed, and millisecond-level fault switching is guaranteed; and a dynamic threshold adjustment mechanism is introduced, the reliability and robustness of the system are adaptively optimized, and the high-real-time and high-reliability transmission requirements of rail transit are met.

The invention discloses an equipment centralized authentication and authorization emergency processing method, equipment, a medium and a product, and relates to the technical field of telecommunication. The method comprises the following steps: establishing a heartbeat detection mechanism between a main server and the equipment; monitoring the communication state between the main server and the equipment in real time by adopting the heartbeat detection mechanism; and when the communication state between the main server and the equipment is abnormal, starting an emergency mode, and starting a local authentication and authorization mechanism in the emergency mode until the communication state between the main server and the equipment returns to normal. The heartbeat detection technology and the local emergency authentication mechanism are introduced, so that the problem that the service continuity cannot be ensured when the system is abnormal in the prior art is solved.

The invention discloses a BCG heartbeat detection system, a training method and a detection method, and belongs to the technical field of medical signal processing. According to the method, a heart electro-mechanical coupling mechanism is utilized, physiological semantics implied in a BCG signal segment are mined through a cross-modal semantic anchoring module and a fine-grained waveform reconstruction module, and the physiological semantics are converted into heartbeat indication signals of QRS waves; wherein the cross-modal semantic anchoring module is used for extracting implicit ventricle depolarization global semantics by capturing a long-range dependency relationship in a BCG signal fragment so as to roughly lock a semantic anchor point of heartbeat generation in an uncertain waveform; and the fine-grained waveform reconstruction module fuses the global semantic features into the local waveform features through a cross attention mechanism to realize dynamic fusion and alignment of the morphological features and the semantic features. Based on the method, the dependence of a traditional method on BCG waveform form consistency is overcome, and accurate and robust heartbeat detection can be achieved under complex and changeable pathological conditions.

The invention discloses an Android system security protection method, system and device and a storage medium, and the method comprises the steps: adding a core protection service in a source code of an Android system, enabling the core protection service to serve as an independent process to run in a system layer, and respectively implanting a Socket client and a Socket server in a Zygote service and a SecurityGuard Service of the Android system to establish a bidirectional encryption communication channel, so as to achieve the security protection of the Android system. Timing heartbeat detection and tampering response are set in a two-way encryption communication channel, after the tampering response is triggered, Zygote service and Security Guard Service service are restarted, real-time monitoring of system core process communication is achieved, attacks such as memory tampering and code injection are effectively recognized, and based on Socket communication, remarkable influences on system performance are avoided.

The invention relates to the technical field of medical equipment, and discloses an electrocardiogram monitoring and coronary heart disease diagnosis system. The system comprises an electrocardio lead configuration module, an electrocardio signal acquisition module, a coronary heart disease feature calculation module, an abnormal heart beat detection module, a central processing unit and the like. The electrocardiogram lead configuration module sets a lead layout scheme and generates a signal acquisition rule; the electrocardiosignal acquisition module acquires original electrocardiosignals according to the signals; the coronary heart disease feature calculation module calculates coronary heart disease feature parameters; the abnormal heart beat detection module obtains an abnormal fluctuation index; and the central processing unit integrates the analysis data to generate diagnosis parameters. In addition, the system is also provided with a focus positioning module, a storage module and an early warning module which are respectively used for focus positioning, data storage and illness state early warning. The system can accurately collect and analyze electrocardiogram data, improve the accuracy of coronary heart disease diagnosis, realize focus positioning and early warning, and provide powerful support for clinical treatment.

The utility model provides a BNCT treatment room safety interlocking system, and relates to the technical field of BNCT treatment. The safety interlocking system can effectively overcome the false alarm defect of a safety interlocking system in the prior art, and specifically comprises treatment room equipment and a safety interlocking module, the treatment room equipment comprises a dose control module used for obtaining neutron beam flux and monitoring the neutron beam state, and a treatment control box used for controlling operation of the treatment terminal. The safety interlocking module is in communication connection with the dose control module through a first heartbeat detection line and a first alarm line which are independently arranged, and is in communication connection with the treatment control box through a second heartbeat detection line and a second alarm line which are independently arranged.

The invention belongs to the technical field of information communication, and particularly relates to a network security monitor and a distributed network security intelligent analysis method, and the method comprises the following steps: S1, deploying a main-standby double-engine structure in each engine cluster of a distributed system; s2, adopting a federated learning framework, sharing model parameters by each local node on the premise of protecting data privacy, and realizing incremental training; an incentive mechanism is introduced into the federated learning framework; s3, when an attack behavior is detected, automatically triggering an isolation strategy and generating an alarm; according to the network security monitor and the distributed network security intelligent analysis method, the main engine and the standby engine are deployed in each engine cluster, the state of the main engine is monitored in real time through a heartbeat detection mechanism, and if the response of the main engine is not received within the preset time, the standby engine automatically takes over and synchronizes the memory state snapshot of the main engine; and therefore, the business coherence and the data consistency are ensured.

The invention discloses a multi-protocol fusion bus interaction system and method, and relates to the technical field of intelligence information processing, the system comprises a protocol node, a bus device agent, a protocol converter, a Wi-Fi fusion layer and a device discovery center; the protocol node operates a guard process to maintain an equipment state and mark a message source node ID; the bus equipment agent is responsible for message filtering and cross-bus forwarding; the protocol converter encapsulates the data into Ethernet frames and transmits the Ethernet frames through Wi-Fi; protocol conversion is realized by the Wi-Fi fusion layer; the equipment discovery center dynamically manages the equipment and the bus list through heartbeat detection; the method comprises a message sending and receiving process and an equipment dynamic access process. According to the invention, a wired mode is replaced by Wi-Fi wireless transmission, so that the wiring cost is reduced; compatibility and transmission efficiency are improved through a protocol converter and intelligent message filtering; the system supports discovery and expansion of dynamic equipment, is suitable for complex industrial sites such as a data center, and has the advantages of high efficiency, expandability and easy maintenance.

The present invention discloses a newborn body temperature and heartbeat detection sensing system, which relates to the technical field of newborn body temperature and heartbeat detection. The system comprises the following steps: utilizing a data detection module to collect body temperature, heartbeat and electrocardiogram data of each minute in a newborn detection cycle in real time; utilizing a data processing module to sequentially calculate a basic warning value ZJ, an electrocardiogram feature evaluation value XD and a comprehensive risk value ZF based on the result of averaging processing; utilizing a data analysis module to draw and analyze line graphs of the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF under different abnormal conditions; utilizing a display and alarm module to display and warn of the abnormalities represented by the line graph; the present invention provides a preliminary warning of basic health, conducts an in-depth analysis of heart health, and comprehensively derives overall health risks from multiple factors, so that the system can comprehensively, dynamically and accurately assess the health status of newborns, realizes dynamic analysis of continuous detection and line graph drawing, and improves the accuracy of abnormality detection sensing.

The invention provides a recommendation method for an optimal maintenance scheme of the Internet of Things. The recommendation method comprises the following steps: step 1, acquiring system input; step 2, performing WSN simulation and cost evaluation based on the system input; and step 3, performing optimal maintenance scheme search under budget constraint by adopting an intelligent search algorithm. According to the method, the automatic recommendation of the maintenance module and the parameter combination configuration thereof can be realized by establishing an optimization model between the overall maintenance cost and the system reliability under the budget constraint aiming at factors such as network scales, node distribution, fault types and occurrence probabilities, energy consumption models and the like in different application scenes. According to the method, typical maintenance function modules such as remote restart, heartbeat detection and firmware updating serve as candidate components capable of being started as required, key parameters such as an energy early warning threshold value and heartbeat frequency are combined, the actual effect of a maintenance strategy is evaluated based on system modeling and simulation analysis, and therefore the optimal maintenance scheme is screened out.

The embodiment of the invention provides a task scheduling method, a task scheduling system, electronic equipment and a program product. Relates to the technical field of computers. The method comprises the following steps: acquiring node state information of each control node in a control node cluster by adopting a preset heartbeat detection mechanism; updating a candidate control node set for task allocation according to the node state information of the control nodes; receiving a to-be-processed task, and obtaining operation state information of each control node in the candidate control node set; determining a target control node through a preset scheduling strategy according to the to-be-processed task and the operation state information of the control node; and sending the to-be-processed task to the target control node, so that the target control node schedules the service nodes in the preset service node cluster to execute the to-be-processed task. According to the method, the technical effects of improving the node availability and improving the scheduling success rate are achieved through state perception of multiple control nodes, dynamic maintenance of the candidate set and a strategy based on the task and the running state.

The invention relates to a system for realizing transaction gateway distribution based on an asynchronous event model, and the system comprises an SDK access module which carries out the timeout judgment of a transaction request, and receives an asynchronous callback message response; the gateway access module is used for receiving the transaction request and decompressing the data; the service conversion module is used for loading service conversion rules from the service conversion management module and carrying out logic conversion and judgment on the request data; the data storage module is used for storing the business conversion rule and the effective time range thereof; and the service conversion management module provides addition, deletion, modification and check functions of service conversion rules. The system for realizing transaction gateway distribution based on the asynchronous event model has high availability, accesses the server through the SDK access module, realizes background service detection through the heartbeat detection module, realizes automatic switching when a fault is found, and ensures high availability of the service; according to the invention, the method is high in business rule taking-into-effect real-time performance, and has the obvious characteristics of high business rule taking-into-effect real-time performance, high expansibility, high availability and the like.

The invention discloses a collaborative scheduling method based on a cloud password service resource pool and a database agent, and relates to the technical field of cloud computing, and the method comprises the steps: obtaining a password service request from the database agent, and synchronously generating a request state snapshot comprising a password algorithm type, a computing progress mark and an intermediate computing result; monitoring the running state of each node in the cloud password service resource pool through a heartbeat detection mechanism, and obtaining a fault node identifier and a to-be-migrated request list when detecting that the password service node is abnormal; reading a corresponding request state snapshot according to the fault node identifier, and transmitting the request state snapshot to a standby password service node; and analyzing the intermediate calculation result in the request state snapshot by using the standby password service node, recovering the execution process of the password algorithm from the breakpoint position corresponding to the calculation progress mark, completing the remaining password calculation, and returning the final calculation result to the database agent. According to the invention, the breakpoint resume capability in the fault recovery process can be realized.

The invention discloses a wireless network quality evaluation method and device based on active and passive cooperative measurement. The method comprises the following steps: determining preset parameters; initializing shared data resources; determining an agent IP address based on the agent hardware address; the network interface monitoring module circularly monitors a network interface capture data packet of the wireless network, takes round-trip delay data as to-be-evaluated data, and updates shared data resources when a statistical period arrives; the wireless interface monitoring module circularly monitors a wireless interface capture data packet of a wireless network, takes signal strength data as to-be-evaluated data, and updates shared data resources; and the heartbeat detection and calculation evaluation module updates the shared data resource when each evaluation period arrives, determines the data to be evaluated in the statistical period according to the statistical period, and determines the quality of the wireless network in the evaluation period based on the data to be evaluated. According to the invention, the sensing capability of the wireless communication network environment where the network access agent is located is enhanced.

The invention discloses a network switching method based on a dual-redundancy control network, which comprises the following steps of: determining one of a first communication management module of a first network and a second communication management module of a second network as a master communication management module based on master-slave configuration data through overlapping moment detection, dynamic arbitration or static arbitration and master heartbeat detection; the other communication management module is a standby communication management module; the method comprises the following steps: respectively realizing clock synchronization of a first network and a second network by constructing a clock compensation model based on a clock synchronization protocol, wherein the clock compensation model calculates and obtains a first compensation parameter and a second compensation parameter corresponding to the first network and the second network through a sliding window; obtaining a periodic signal through the first communication management module or the second communication management module; starting a signal transmission period and a non-signal transmission period to transmit control data or state data; and updating the main communication management module and the standby communication management module based on the state data.

The invention discloses an industrial data disaster recovery backup method and system based on edge computing, and relates to the technical field of industrial internet and data security. A decentralized collaborative backup grid is constructed, so that scattered industrial edge nodes can be autonomously discovered and connected to form a dynamic backup neighbor relation network; a grid topology is automatically constructed among nodes through mutual perception and authentication of a service discovery protocol, on this basis, data to be backed up generated by any node can be encoded into fragmented data blocks and verification blocks through an erasure code technology, and the fragmented data blocks and the verification blocks are intelligently scheduled to a plurality of backup neighbor nodes for distributed storage. By means of continuous heartbeat detection and multi-dimensional health index analysis, the states of all nodes in a grid are monitored in real time, once it is detected that the nodes are abnormal, a data reconstruction process based on erasure codes is automatically triggered without a central instruction, original data are recovered through surviving coding blocks, and a self-organizing and self-healing disaster recovery system is formed.

To accurately detect heartbeat information from a signal measured by a millimeter wave radar device.SOLUTION: A heartbeat detection device generates a heartbeat signal on the basis of a signal including a heartbeat component of a measurement subject detected by a millimeter wave radar device, generates a plurality of pieces of apex data in the heartbeat signal, and extracts a set of a plurality of pieces of valid apex data satisfying periodicity as a heartbeat from the plurality of pieces of apex data. When a part of the plurality of sets of valid vertex data is missing or erroneous, the heartbeat detection device generates, as a heartbeat data sequence, a plurality of pieces of valid vertex data obtained by correcting the missing or erroneous valid vertex data.SELECTED DRAWING: Figure 2

The application discloses a kind of port machine automation remote control method and system, it is related to automation technical field, including front end processing equipment connection spreader positioning sensor and motor driver, generates equipment topology diagram, interconnects multiple port machine PLC networks by Profibus-DP coupler and exports network status report, while configuring double redundancy operation platform interface and exports state identification signal;Based on state identification signal, construct all-optical link and generate optical fiber path topology, hierarchical transmission of spreader control instruction and path instruction is established, heartbeat detection mechanism is established and state confirmation signal is triggered;Receive state confirmation signal and wavelength allocation table, obtain laser radar point cloud data by special channel to execute spreader obstacle avoidance correction;Based on operation control authority and new optimal path sequence, construct digital twin, generate scheduling report by LSTM model.The application eliminates instruction blockage by constructing special channel and shared channel.

The invention discloses a running state monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of computers. Creating a bidirectional forwarding detection session between the first device and the second device in a bidirectional forwarding detection module according to the identified heartbeat registration information, so as to execute a heartbeat message transceiving task based on the bidirectional forwarding detection module, and synchronizing an execution result parameter of the heartbeat message transceiving task to the first software unit, the bidirectional forwarding detection module is a hardware module specially used for monitoring link and path states between devices on the devices, and the problem of state misjudgment caused by the fact that heartbeat data packets are not sent in time due to scheduling of a central processing unit can be effectively solved by unloading heartbeat detection tasks of a software unit to the bidirectional forwarding detection module for execution. The precision of the heartbeat detection result is improved, and the pressure of executing the heartbeat detection task of the software unit by the central processing unit is reduced.

The application discloses a watchdog reset method and device, equipment and storage medium, and relates to the technical field of signal control and processing. The watchdog reset method comprises the following steps: initializing a watchdog monitoring process of a software unit when starting a watchdog function at a basic input / output system layer; periodically receiving a heartbeat detection flag bit of the watchdog monitoring process; determining a running state of the software unit according to a receiving result of the heartbeat detection flag bit; and determining a watchdog reset strategy according to the running state. The application does not need an independent hardware chip, and thus the cost of the watchdog reset is reduced.

This disclosure provides a model training method and an atrial fibrillation heartbeat detection method. The method includes: inputting a target electrocardiogram (ECG) segment into a feature extraction network to output ECG features; inputting the ECG features and a first positional encoding into an encoder to output ECG encoded features; repeating the following operations until the number of iterations matches the number of decoder layers to obtain an atrial fibrillation heartbeat detection model: inputting the ECG encoded features, the first positional encoding, the decoder embedding, and the second positional encoding into the y-th decoding layer to obtain the output of the y-th decoding layer, using this output as the input to the bounding box prediction head to output the offset, and using the offset to update the predicted bounding box; inputting the classification prediction head to output the heartbeat classification prediction result; performing loss calculations on the category label and bounding box label of the target ECG segment with the heartbeat classification prediction result and predicted bounding box to obtain classification loss values ​​and bounding box loss values, thereby adjusting the model parameters of the model to be trained to obtain the adjusted model.

The invention discloses an unmanned aerial vehicle cluster collaborative trajectory planning method, and belongs to the technical field of unmanned aerial vehicles, and the method comprises the steps: enabling four unmanned aerial vehicles to form a formation to form a three-dimensional ideal tetrahedron, and carrying out the real-time obstacle avoidance and trajectory optimization through the combination of a dynamic safety ball and a convex polyhedron, and automatic takeover when the pilot aircraft or the wing aircraft is lost is realized through heartbeat detection and a replacement priority table, so that the technical problems of dynamic obstacle avoidance, collision detection, trajectory optimization and automatic replacement of failure of the pilot aircraft when the unmanned aerial vehicle cluster cooperatively flies in a three-dimensional space are solved. According to the scheme, the maximum allowable deformation range of the whole formation is achieved, dynamic obstacle avoidance is achieved, automatic taking-over of unmanned aerial vehicles and updating of formation safety convex polyhedrons are achieved through a virtual safety ball and a replacement priority table according to the condition that wing planes or pilot planes are out of communication, and task continuity is guaranteed.

The present application proposes a cluster processing method and storage medium, wherein the cluster includes multiple nodes, and the types of these multiple nodes include leader nodes, follower nodes, candidate nodes and client nodes defined based on a consistency protocol. The follower node can receive heartbeat messages sent by the leader node, and after determining that the client node with a heartbeat timeout is a node to be isolated based on the heartbeat detection information of each client node, a heartbeat response message containing isolation prompt information for the node to be isolated can be sent to the leader node to prompt the leader node to quickly and accurately determine whether the node to be isolated is in an offline state, and to isolate the offline node grid in a timely manner, thereby avoiding the adverse impact of such client nodes in an offline state on the original cluster and improving business response and fault recovery efficiency.

The invention discloses a two-way communication method for a digital twin system and PLC (Programmable Logic Controller) equipment in a Linux environment, which comprises the following steps of: establishing a secure communication channel based on TCP (Transmission Control Protocol) and TLS (Transport Layer Server) encryption and two-way authentication, defining an application layer message structure, and finishing initial secure link connection; developing, integrating and packaging a UE5 plug-in with a communication function, and providing visual blueprint nodes to configure PLC equipment parameters and process message serialization; based on a secure communication channel and a UE5 plug-in, real-time bidirectional data interaction is executed between the digital twin system and PLC equipment, and connection is maintained through heartbeat detection and automatic reconnection; and constructing the UE5 project containing the plug-in into a Linux executable file through a cross compiling tool chain, and deploying and configuring the Linux executable file. According to the invention, a safe, real-time and easy-to-use complete solution for bidirectional communication between the digital twin system and the PLC equipment in the Linux environment with good expansibility is formed while the requirements of localization and autonomous controllability are met.