225 results about "Heartbeat detection" patented technology

The invention relates to the technical field of server upgrading, and discloses a server firmware remote upgrading method and system, and the method comprises the steps: a management node obtains a device identifier list and target firmware version information of a to-be-upgraded server, and uses a distributed task scheduling algorithm to divide tasks; transmitting an upgrading instruction and a data packet through an encryption channel, and generating an incremental packet by using a differential upgrading technology; data transmission is guaranteed through heartbeat detection and breakpoint continuous transmission; after pre-verification of the server-side security sandbox, upgrading and isolating tasks in an idle period; verifying by adopting a gray release strategy, and automatically rolling back if the verification fails; and storing an upgrade state and a log by means of a block chain network. The system comprises corresponding function modules. According to the method, the upgrading efficiency, safety and reliability are improved, the influence on services is reduced, data cannot be tampered and can be traced, the problems existing in a traditional upgrading mode are effectively solved, and the method is suitable for various server firmware remote upgrading scenes.

The invention relates to the technical field of data processing, in particular to an intelligent analysis system for electric energy quality and read data, which comprises a data fusion module, a modeling module, an analysis module, a detection module, an optimization module and a control module. The data fusion module aligns data of an electric meter terminal, power grid monitoring equipment and an environment sensor through a sliding time window, and the analysis module calculates a power grid node loss transfer coefficient based on a graph neural network and fuses transformer no-load loss and line contact resistance parameters to generate a dynamic line loss evaluation matrix. And the detection module identifies the power consumption characteristic deviation degree through a random forest classifier, and generates a priority management strategy in combination with a multi-dimensional abnormal scoring model. The control module adaptively selects a communication protocol to execute a regulation and control instruction according to a network state, a heartbeat detection mechanism feeds back operation data of a governance device in real time, model parameters are driven to be iteratively updated, and dynamic cooperation of power supply quality optimization and line loss governance is achieved.

The invention discloses a self-adaptive packet data transmission system and method based on Beidou short messages, the system is composed of eight core modules such as a serial port communication module, a protocol conversion module and a configuration module, multi-link communication is established through an RS232 serial port and a Beidou director, and Baud rate self-adaptive adjustment and multi-serial port parallel processing are supported. The protocol conversion module adopts a finite-state machine to analyze a BDS-3 protocol, data fragmentation and recombination are achieved in combination with a sliding window algorithm, and the compression rate reaches 3: 1. The method comprises the following seven stages of flows: evaluating channel quality by detecting a message, and dynamically switching a BDS-3 anti-interference mode; implementing flow control by adopting a token bucket algorithm, and dividing three levels of QoS guarantee emergency instructions; and terminal health management is realized through a heartbeat detection and diagnosis instruction set. According to the method, instruction execution is delayed by 1.2 seconds in emergency communication, the bit error rate is controlled to be 0.0005%, the transmission efficiency is improved by 40% compared with a traditional scheme, and the method can be widely applied to the fields of Internet of Things, intelligent transportation and the like.

The invention relates to a high-fidelity cloud rendering cluster scheduling method and system, and the method comprises the steps: receiving a rendering task, generating a multi-level priority queue according to the task complexity, timeliness and resource demand classification, and automatically optimizing a scheduling strategy; monitoring the resource state of the heterogeneous computing node in real time; allocating tasks by using preemptive and round-robin scheduling strategies, and adjusting and coping with resource fluctuation in combination with a dynamic code rate; the tasks are decomposed by adopting a spatial blocking and time framing strategy, and an execution sequence is controlled according to a topological sorting algorithm; abnormal nodes are identified through heartbeat detection, and affected subtasks are migrated through incremental task updating. According to the method, efficient resource allocation, scheduling algorithm and idle key frame scheme can be realized, the GPU directly outputs the video stream, the rendering speed is remarkably improved, resource waste and operation cost are reduced through a dynamic resource allocation mechanism, a fault-tolerant mechanism is provided, the task is ensured to be normally completed under the condition of node fault, and the task efficiency is improved. And distributed rendering and synthesis of large-scale high-resolution images are supported.

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 provides a container redundancy scheduling method and system based on a dynamic load, and relates to the technical field of container redundancy scheduling. According to the method and the system, the load change of the industrial edge cloud system is sensed in real time through a comprehensive design scheme of server redundancy, minimum deployable computing unit soft redundancy and application of an anti-affinity cross multi-copy mechanism and a multi-stage heartbeat detection mechanism in a container, and a scheduling strategy of a voting mechanism is combined; and dynamically adjusting the redundant deployment state of the container. For containerized application in an industrial edge cloud environment, dynamic load sensing, real-time fault detection and intelligent resource scheduling are realized, and the requirements of an industrial scene for low time delay and high reliability are met.

The invention provides a method for accessing user equipment to a vehicle-mounted system in a cross-system virtual manner and navigating, which comprises the following steps of: in a cross-system virtual access process, converting an operation request and a data transmission instruction of the user equipment into a format which can be identified by the vehicle-mounted system through a virtualization middleware technology, and performing encryption and integrity verification on transmission content; the compatibility and security of communication are ensured; a heartbeat detection mechanism between a vehicle-mounted system and user equipment is established, network connection quality is evaluated in real time by periodically sending probe packets and monitoring response time, and if overtime or too high packet loss rate is found, a standby link is automatically switched to ensure seamless connection and service continuity; historical load data of a vehicle-mounted system are analyzed through a machine learning algorithm, a load prediction model is constructed, and computing resources and network bandwidths are dynamically scheduled and reserved in advance according to spatial and temporal distribution characteristics of navigation requests, so that resource bottlenecks and service congestion are avoided.

The invention relates to a base station communication method and system based on a Websocket protocol, an electronic device and a storage medium, and is applied to the field of wireless communication.The base station communication method based on the Websocket protocol comprises the steps that in response to a base station service process data request sent by a client side based on a browser, in a single communication thread corresponding to each client side, a single communication thread corresponding to each client side is obtained; sending a request for establishing a second heartbeat detection connection to the independent service process end; and the client is used for establishing a first heartbeat detection long connection with the server based on a Websocket protocol. And receiving base station service process data sent by the independent service process end under the condition that a second heartbeat detection long connection is established with the independent service process end based on a Websocket protocol. And forwarding the received base station service process data to the client based on the browser. According to the invention, the real-time performance and stability of base station communication are improved.

The invention discloses a large-scale data consistency method and device based on a multi-level tree structure cluster, and the method comprises the steps: constructing the multi-level tree structure cluster, distributing an i-level cluster for a follower in an i-1-level cluster as a corresponding subtree, and enabling a leader in the i-level cluster to be the follower in the i-1-level cluster; the i-level leader triggers own data collection according to the heartbeat detection message, and feeds back the collected data to the i-1-level leader; the (i-1)-level leader carries out consistency comparison on the collected data, if the collected data are not consistent, consistent data construction is carried out, a synchronization log of the constructed data is sent to the i-level leader, and the i-level leader carries out log synchronization after verification; and the i-level leader sends a log copy message to the i-level follower in the sub-tree where the i-level leader is located, and the i-level follower executes log synchronization after verification. The method has relatively low election performance loss, and realizes the capability of adapting to a large-scale distributed system.

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 distributed network node heartbeat message transmission optimization method and device. The method comprises the following steps: acquiring network link data among distributed network nodes; extracting a plurality of influence factors influencing the link communication of the distributed network nodes from the network link data, inputting the plurality of influence factors into the trained gated recurrent neural network model, and predicting the link communication state of the distributed network nodes and the adjustment strategy of the heartbeat message sending frequency through the gated recurrent neural network model; and according to a prediction result of the gated recurrent neural network model, the sending frequency of node heartbeat messages is adjusted, and a message transmission link of the distributed network nodes is optimized by using an ant colony algorithm. According to the method, the heartbeat detection frequency can be dynamically optimized under the environment of weak communication and limited bandwidth, the heartbeat detection efficiency is remarkably improved, and the network load is reduced.

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 node detection method and device, electronic equipment and a storage medium, and relates to the technical field of distributed systems.The method comprises the steps that a current node confirms the node type of the current node; the node type comprises a master node type and a slave node type; in response to the fact that the node type is the master node type, performing multi-level health check on slave nodes attached to the current node; the examination types and the examination frequencies of all levels of health examinations are different; judging whether the slave nodes pass multi-level health examination or not; in response to the judgment that the slave node does not pass the multi-level health check, taking the slave node as a to-be-checked node, and scheduling other slave nodes to perform health state check on the to-be-checked node; and in response to other slave nodes feeding back that the to-be-verified node does not pass the health state verification, marking the to-be-verified node as an abnormal node and removing the abnormal node from the current cluster. The technical problem that a traditional heartbeat detection mechanism is insufficient in precision is solved, and the technical effect of improving node state judgment reliability and anti-interference capability is achieved.

The invention relates to the technical field of industrial automation, in particular to a PLC system control method and device based on dynamic address allocation and a storage medium, and the method comprises the steps that S1, a CPU module obtains a physical ID of an IO module; s2, generating a unique logic address for each physical ID, and establishing a mapping database; s3, the CPU module carries out handshake by taking the physical ID of the IO module as a communication identifier, and allocates the corresponding logic address to the corresponding IO module as a dynamic address; and S4, in the running process, the CPU module monitors the online state of the IO module through a heartbeat detection mechanism, releases the dynamic logic address of the offline IO module and updates the mapping database, and if a new IO module is online, the CPU module allocates the unoccupied logic address according to the physical ID number of the new IO module. According to the method, the unique logic address is generated for the physical ID, the security of the IO module is improved, the dynamic address is reallocated after the new IO module is online, the address allocation flexibility is improved, the physical ID and the dynamic address of the offline IO module are released, and limited address resources are saved.

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 provides a disconnection reconnection method for a remote management system of intelligent embedded equipment, and relates to the technical field of embedded systems and network communication, and the method comprises the steps: carrying out the heartbeat detection of a client and an equipment end according to a preset period, and checking the connection state of a TCP, so as to judge whether a disconnection condition exists or not; dividing the disconnection condition into a WiFi signal problem, an IP address change and equipment restart or network configuration change; selecting different reconnection modes according to different disconnection conditions, wherein the reconnection modes comprise a rapid reconnection strategy, an exponential backoff algorithm and connection by using a new IP address; wherein the fast reconnection strategy is used for solving the WiFi signal problem, the exponential back-off algorithm is used for solving the problem of equipment restart or network configuration change, and the connection by using the new IP address is used for solving the IP address change.

The invention discloses a real-time data processing method and system, and relates to the technical field of computers, and the method comprises the steps: S1, monitoring a network state between nodes based on a heartbeat detection mechanism, S2, collecting and storing real-time data generated by each node, S3, carrying out data synchronization verification when the network state is detected to be abnormal, and S4, carrying out data synchronization verification when the network state is abnormal. S4, updating the verified data to each node of the distributed system; according to the real-time data processing method and system, the network state of the nodes in the distributed system can be identified in real time, the abnormal nodes can be quickly positioned, the problem of data deviation caused by network delay or node disconnection is avoided, the problem of data inconsistency caused by receiving time deviation of different nodes is remarkably reduced, the accuracy of a data processing result is guaranteed, and the data processing efficiency is improved. The problem of data consistency caused by network instability among nodes in a distributed system in the prior art is solved.

Presented herein are techniques for detecting the heartbeat of the recipient of an implantable medical device. The implantable medical device includes sensors for capturing audio signals and vibrations signals from the body of the recipient. A heartbeat detection module filters at least the vibration signals to generate a heartbeat signal representing the heartbeat of the recipient.

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.

Aspects of the disclosure are directed to voltage sensing for safety-critical applications. In accordance with one aspect, the disclosure includes a multi-phase ring oscillator (RO) configured to operate in a first voltage domain; a frequency counter coupled to the multi-phase RO, the frequency counter configured to accumulate a plurality of phase cycles from the multi-phase RO over a time duration to generate a digital count word; an alarm processor coupled to the frequency counter, the alarm processor configured to receive an alarm state signal from the frequency counter; and a heartbeat detector coupled to the multi-phase RO, the heartbeat detector configured to operate in a second voltage domain and configured to detect a periodic recurrence of a heartbeat pulse to determine an integrity of the sensor function as a whole and alarm state signal in particular.

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 method for detecting the quality of a wireless network based on airplay screen projection. The method comprises the following steps: starting a receiving thread, wherein the receiving thread is used for receiving a tcp data stream returned from a network card; starting a heartbeat detection thread; the heartbeat detection thread is used for providing accurate timing for the system and performing network jitter algorithm operation on a timestamp of a received heartbeat packet; and judging the calculated jitter value, if the jitter value is greater than a set threshold value, reporting that the network is abnormal, and if the jitter value is smaller than the set threshold value, reporting that the network is recovered. According to the invention, through the cooperation of the receiving thread and the heartbeat detection thread, the system can monitor the state of the network in real time and timely discover network fluctuation and abnormal conditions, and when the network jitter value exceeds the set threshold value, the system can rapidly report the network abnormity. And when the network jitter value is recovered to a normal range, the system can report a network recovery state to help a user to know the network condition.

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 belongs to the technical field of life information monitoring, and particularly relates to an FMCW radar-based non-contact breathing and heartbeat combined detection method, which comprises the following steps of: identifying the chest of a target to be detected by utilizing a target detection algorithm to obtain a target area; controlling a steering engine to enable the FMCW radar to move to a corresponding target area, transmitting a linear frequency modulation signal, receiving a reflection signal, and performing frequency mixing to obtain an intermediate frequency signal; performing distance fast Fourier transform on the sampling data of the intermediate frequency signal to obtain a distance feature, and determining a distance unit corresponding to the target according to an extreme value of the distance feature; a phase value of a distance unit where a target is located is extracted to perform phase unwrapping and phase difference operation, then a phase difference signal is subjected to signal decomposition by using a variational mode decomposition (VMD) algorithm, and a respiration and heartbeat signal is processed by using an independent component analysis (ICA) algorithm to obtain a respiration signal and a heartbeat signal; and S4, estimating the respiratory frequency and the heart rate through the frequency spectrums of the respiratory signal and the heartbeat signal. According to the invention, the signal processing efficiency and accuracy are improved.

The invention discloses an adaptive detection system and method for a spaceborne computer, relates to the technical field of space flight and aviation, and adopts a nonlinear state space model to establish a state transition equation and an output equation so as to realize accurate modeling and real-time detection of the spaceborne computer. The adaptive detection middleware integrates heartbeat detection, power supply power-on detection, multi-protocol communication, RS422, CAN, TCP and the like, supports remote interaction and intelligent task scheduling, and improves the automation degree of detection; compared with a traditional method, data interaction is optimized through a multi-protocol self-adaptive processing mechanism, the detection efficiency is improved, the system maintenance cost is reduced, the data interaction real-time performance is improved, the problems that detection equipment is complex, data interaction is not flexible, detection precision is low and the like are solved, the integration level, the intelligence and the remote control capability of the detection system are improved, and the detection efficiency is improved. The method is suitable for the fields of spacecraft ground testing, spaceborne computer research and development, testing and maintenance and the like, and has important engineering practical value.

The invention discloses a distributed deployment high-performance read-write separation method based on ClickHouse, and the method comprises the steps: employing a MergeTree table engine and a Distrided distributed table engine, and achieving the efficient storage and distributed query of data through the balanced forwarding of log data to each shared fragment; in addition, through regular heartbeat detection, the fault node is removed from the cluster, and the fault node is added into the cluster again after being recovered, so that the high availability of the system and the reliability of data are ensured. According to the method, the high efficiency of data writing in the ClickHouse cluster and the load balance of query can be realized, the method is suitable for a scene in which a large number of concurrent query and writing operations need to be processed, the distributed characteristics of ClickHouse can be fully utilized, and the overall performance and reliability of a system are improved.

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 provides a remote replication link detection method and system, and relates to the technical field of computers, and the method comprises the steps: obtaining first information; path planning processing is carried out based on the first information, the current communication request number of each standby storage node is calculated in sequence, heartbeat detection paths are distributed by analyzing the communication load state, and a heartbeat detection path table between the main storage node and the standby storage nodes is obtained; according to the heartbeat detection path table, recording and triggering a heartbeat request based on the path table, receiving feedback, updating a communication state field in the path table, and generating an updated heartbeat detection path table; constructing a link state view according to the updated heartbeat detection path table; and according to the link state view, analyzing a path communication state and judging a link health state based on a preset rule, and generating a link health state assessment result. According to the invention, frequent communication requests are reduced, the query efficiency is improved, and the response time of the system under a high-load condition is reduced.

The present disclosure relates to methods, apparatuses, and systems for obtaining node state information. In one example method, a computing node and a management node use a low latency of remote direct memory access (RDMA), and node state information is obtained by executing a structured query language (SQL) statement to avoid a network latency and CPU overheads caused by a TCP / IP-based heartbeat detection solution.

The present invention discloses a method and device for optimizing the transmission of heartbeat messages of distributed network nodes, including: obtaining network link data between distributed network nodes; extracting multiple influencing factors affecting the link communication of distributed network nodes from the network link data, inputting the multiple influencing factors into a trained gated recurrent neural network model, predicting the link communication state of the distributed network node and the adjustment strategy of the heartbeat message sending frequency through the gated recurrent neural network model; adjusting the sending frequency of the node heartbeat message according to the prediction result of the gated recurrent neural network model, and optimizing the message transmission link of the distributed network node by using the ant colony algorithm. The present invention can ensure the dynamic optimization of the heartbeat detection frequency in an environment with weak communication and limited bandwidth, significantly improve the heartbeat detection efficiency and reduce the network load.