1064 results about "Heartbeat" patented technology

The invention provides a network information security adaptive threat intelligence analysis and response method and system. The method comprises the following steps: acquiring an encrypted traffic load byte stream, and segmenting the encrypted traffic load byte stream into a time sequence traffic matrix according to a time window; and analyzing the communication metadata, matching the features of the threat intelligence library, and generating a dynamic threat fingerprint based on protocol compliance and behavior abnormality. And performing multi-stage wavelet packet decomposition on the matrix, extracting the energy spectrum density, the information entropy and the time-frequency variable coefficient of the high-frequency component, and performing weighted fusion to generate a frequency-domain composite abnormal index representing heartbeat signal characteristics. And identifying hidden heartbeat periodicity and protocol violation modes through a multi-mode fusion mechanism in combination with the frequency domain index and the threat fingerprint, and outputting a threat score. And if the attack exceeds the threshold value, intercepting the flow, verifying a new attack feature, and then reversely updating the threat intelligence library to form a defense self-evolution closed loop. According to the method, automatic interception and closed-loop updating of the threat intelligence library are realized, and the defense adaptability is remarkably improved.

The invention relates to the technical field of industrial distributed control system architecture, and discloses a dual-redundancy design method for a virtual controller VDPU, which comprises the following steps of: deployment of a four-network-port redundant network architecture: dividing four physical network ports into two groups of independent channels, and simultaneously configuring a network link automatic switching mechanism, the working states of the four network ports are monitored in real time, then double isolation of a physical layer and a protocol layer is achieved, and an independent heartbeat transmission channel is established; main / standby heartbeat monitoring and switching control: the main / standby controller periodically interacts state information packets through a special heartbeat channel, and establishes a three-level fault determination mechanism at the same time to perform seamless main / standby switching; a multi-mode data synchronization mechanism is implemented, namely initialization synchronization, increment synchronization during operation and exception recovery synchronization are started, separation of heartbeat signals and data synchronization can be realized through two groups of independent channels, and the fault-tolerant capability and the switching efficiency of the system are improved, so that the operation stability of the system is guaranteed.

The invention belongs to the technical field of intelligent hardware control methods, and discloses a low-power-consumption intelligent hardware control method which comprises the following steps: acquiring working state parameters and user interaction information of intelligent hardware, and generating an equipment state feature vector; judging whether a dormancy condition is met or not according to the equipment state feature vector; when the sleep condition is satisfied, sending a network communication agent instruction; the coprocessor configures an internal timer and awakens signal output after receiving the instruction; the master control stores a system operation state, configures a wake-up source and then enters a deep sleep state; the coprocessor cuts off the power supply of the inactive module; when a timer of the coprocessor reaches a preset network heartbeat cycle, a wake-up signal is sent to the master controller; and the master control recovers the system state, updates the feature vector and re-decides whether to sleep or not. And through multi-dimensional state perception and a master-slave cooperation architecture, and through refined power management and a dynamic reevaluation mechanism, the equipment power consumption is obviously reduced on the premise of ensuring the user experience.

The invention relates to the technical field of intelligent networked vehicles, in particular to an intelligent networked vehicle remote control and monitoring method. The method comprises the following steps: acquiring real-time running state information and roadside sensing data of a vehicle, and generating a remote takeover request; receiving a control instruction sent by the cloud control platform, and feeding back a control execution result; calculating instruction interaction delay and network transmission delay; the stability of the communication environment is evaluated by combining the two, and the vehicle driving mode is dynamically adjusted. Furthermore, time delay is calculated according to heartbeat signals and control instruction timestamps in the communication link, the stability index of the communication environment is evaluated, and the safe driving speed is adjusted according to the stability. And when the communication environment stability is lower than the threshold value or the instruction interaction delay exceeds the threshold value, an emergency stop mechanism is triggered. According to the method, the safety and the stability of the intelligent network connection vehicle under remote control can be improved.

The invention discloses a water meter equipment fault self-checking maintenance management system, particularly relates to the field of water affair metering management, is used for solving the problem of fault missing report risk hidden danger pain points caused by self-checking failure, and is characterized in that self-diagnosis drift monitoring and heartbeat frame extremely simple coding are triggered through pseudo-flow rate pulses, and the energy consumption increment of an uplink link is reduced to a milliwatt level; the health score drives the rhythm to be rechecked, so that the deep sampling only occurs at a necessary moment; a differential patch is combined with a digital twinborn model to accurately position a failure branch, pushing and loading are only loaded with micro bytes, and downlink consumption and refreshing time are greatly shortened; shape-frequency complementary indexes are fused with unsupervised boundary learning, so that deviation judgment is sensitive and stable; the dual-redundancy monitoring timer verifies that the patch takes effect and then uploads an abstract, and the maintenance center can carry out remote self-repair under the condition of not interrupting metering and communication; and therefore, instant capture and directional repair of silent faults are realized, the autonomous reliability of the water meter is remarkably improved, and the operation and maintenance cost and the field intervention frequency are greatly reduced.

The invention provides a non-contact electrocardio feature point detection method and system based on a millimeter wave radar. Non-contact real-time electrocardio feature point monitoring can be achieved. The method specifically comprises the steps that radar echo signals and reference electrocardiosignals of the heartbeat of the same subject are synchronously collected; extracting a phase signal in the radar echo signal of each period, and extracting an intrinsic mode component in the phase signal as a radar heartbeat signal component; aligning the reference electrocardiosignal with the radar heartbeat signal component, performing feature point marking on the reference electrocardiosignal, and generating a semantic segmentation tag according to feature points to obtain the reference electrocardiosignal marked with the semantic segmentation tag; constructing a deep learning model, and training the deep learning model by using the reference electrocardiosignal and the heartbeat signal component marked with the semantic segmentation tag; and performing electrocardio feature point detection on a radar heartbeat signal to be detected by using the trained deep learning model.

The invention discloses a unified management system and method for a virtual controller, and the system comprises a controller registration module which is used for initializing a controller registration array, checking whether the number of network IO registration reaches an upper limit or not, traversing the controller registration array, searching vacancies, and recording new instance information; the instance mapping module is used for mapping the successfully registered controller indexes into a controller information array and updating the registration number; the multi-thread security module is used for realizing concurrent security access in a registration process through a mutual exclusion lock; and the communication management module is used for creating a read management module, a write management module and an alarm management module, processing different types of data and carrying out heartbeat monitoring and data forwarding through a port. The technical problems that when a plurality of virtual controllers work cooperatively, control tasks of the virtual controllers are difficult to coordinate efficiently, so that the system performance is reduced, and even control conflicts or data loss may occur are solved.

A different network address is assigned to each port of a first device and a second device that are configured to exchange traffic over a multi-path connection of a transport layer protocol. When a timeout is detected by the first device indicating that a packet sent to a first network address assigned to a first port of the second device was not received, the first device can regenerate the packet with a second network address assigned to a second port of the second device, and send the regenerated packet to the second network address of the second device. The first device can send heartbeat packets to the first port in an exponential backoff manner and, upon receiving a heartbeat acknowledgement from the first port, resume sending the packets to the first port.

The present application relates to the technical field of multi-site active-active architectures, and specifically to a method and apparatus for executing a timed task in a multi-site active-active system. According to the present application, different ZKs are used as registration centers in a multi-site environment, the problem of repeatedly executing a timed task in a multi-site active-active system is solved, the method can be used in two remote machine rooms, master-standby switching can be carried out along with a database, delay is reduced, an independent ZK cluster is used, and the network and cluster election split brain problems generated by a cross-city ZK cluster are avoided; moreover, a slave machine and a master machine can adjust, on the basis of the read-write type of the task, the number of shards to be executed, the execution efficiency is ensured, Netty is used as a heartbeat interaction mechanism between timed tasks, the priority scheduling of the timed tasks is achieved by means of a customized sharding algorithm, and automatic master-standby switching can be achieved when a fault occurs to a certain site.

The invention discloses a method for increasing and suppressing the number of alarms through an alarm source, and relates to the technical field of communication network operation and maintenance, and the method specifically comprises the steps: constructing a network real-time topology, building a set membership graph between a router and a downlink device, and when the heartbeat overtime alarm of the downlink device occurs in the network, starting the router according to the set membership graph. And counting the proportion of the lost equipment in a sliding time window taking the parent router as the dimension, when the proportion of the lost equipment exceeds a threshold value, judging that the router is a root cause, sending out an early warning of the router meeting the condition of a root cause determiner, and shielding the overtime alarm of the router. According to the method, the root cause event of'all the downlink devices of the same route are disconnected 'is dynamically identified in the real-time alarm flow, and a high-severity router fault alarm is used for replacing a plurality of device heartbeat overtime alarms, so that the alarm noise is remarkably reduced, and the operation and maintenance efficiency is improved.

The invention discloses a large-scale video access and AI reasoning enhancement system and method, belongs to the technical field of video processing, and aims to solve the technical problem of how to realize large-scale video stream efficient access, resource elastic scheduling and abnormity self-healing in a complex environment. Comprising a resource dynamic scheduling module, a decoding and reasoning control module, a resolution dynamic processing module, a multi-stage shared memory transmission module, an exception self-healing and fault-tolerant module and a task parallel execution module, and resource allocation is optimized and calculated by dynamically binding a CPU core and GPU hardware unit isolation; the resolution is dynamically adjusted based on the scene algorithm precision requirement, and invalid calculation is reduced; a stream pushing and frame rate decoding strategy is controlled by using a Redis mark, and memory occupation is reduced by combining long and short queues; transmission coding and decoding are reduced by adopting a shared memory, and the cross-process interaction efficiency is improved; and task self-healing is realized through dual anomaly detection and process-level heartbeat monitoring.

The invention discloses a cross-platform development board communication fault feedback method and device and a storage medium, and relates to the technical field of communication, after main and sub development boards are initialized, a communication state machine is established, a heartbeat timer is started, heartbeat packets are periodically received and sent, an overtime threshold value is dynamically set in an idle state, and error feedback is triggered if no heartbeat packet is received in an overtime state. The connection state periodically detects communication quality, a reconnection mechanism is triggered if continuous packet loss exceeds a threshold value, an error report is generated and reported when reconnection failure reaches an upper limit, error feedback comprises data packet sending, log recording, alarm triggering and the like, and a reconnection request comprises an identifier, a timestamp and a historical communication index; according to the method, communication interruption caused by misjudgment is reduced, and the communication stability and reliability are improved.

A fault-recoverable firmware detection system and method, a storage medium, and a server. The method comprises: acquiring target fault information stored in a fault register, and sending the target fault information to a BMC (201); upon receiving the target fault information sent by a BIOS, the BMC analyzing the target fault information, and determining a fault type (202); when the fault type of the target fault information is a recoverable fault, the BMC controlling a virtual external device to send a target heartbeat request to a server operating system according to a preset sending period, and receiving response data fed back by the server operating system on the basis of the target heartbeat request (203); and within a preset duration during which the BMC sends the target heartbeat request to the server operating system, if an interruption occurs in the response data fed back by the operating system, determining that the server operating system is crashed, and on the basis of the target fault information, determining a faulty component in a server (204).

An electronic device includes: a transmission unit that transmits a transmission wave; a receiving unit that receives a reflected wave of the transmission wave from the target; and a signal processing unit that detects the distance, direction, and speed of the target on the basis of a converted signal obtained by Fourier-converting a beat signal of the transmission wave and the reception wave. The signal processing unit extracts a signal component corresponding to heart sound vibration accompanying the heartbeat of the subject from the converted signal using a plurality of window functions, and performs frequency analysis on an envelope signal obtained by performing envelope processing on the signal component corresponding to the heart sound vibration. And performing calculation processing of a statistical result on a frequency analysis result, and outputting time sequence data of the heartbeat frequency of the object based on a calculation result.

The invention discloses a communication terminal and a low-power-consumption control method and system thereof, and the system comprises a terminal micro-control unit which is used for controlling the starting and stopping of a heartbeat function of the communication terminal, communicating with a father node, and judging the networking state of the father node; and the cloud control unit is used for acquiring data of the communication terminal and the father node, and dynamically adjusting the heartbeat interval time of the communication terminal according to the historical data of the communication terminal and the communication frequency of the communication terminal and the father node. According to the method, the power consumption of the communication terminal is reduced through multi-step combination, the invalid wake-up times of the communication terminal are remarkably reduced through the aspects of dynamic heartbeat interval adjustment, factory default heartbeat closing, intelligent configuration management, an exception handling mechanism and the like, and the cruising ability of equipment is prolonged.

The present application relates to a method and device for intelligently processing faults in a distributed system. The method includes: starting an application service and generating a heartbeat packet; sending a heartbeat packet to a heartbeat queue at a set time interval; a monitoring service receiving and saving the data in the heartbeat queue; continuously collecting the data in the heartbeat queue from each node and preprocessing it, extracting features related to fault detection, and using an isolation forest model for model training; using an adaptive threshold adjustment method based on an isolation forest algorithm to analyze the data in the heartbeat packet; comparing the heartbeat according to the threshold, and when an abnormal heartbeat is found in a node, determining the fault location according to the feature code; generating a compensation message, and the application service executing the compensation task according to the compensation message. The method detects faults by combining a heartbeat mechanism with an AI algorithm, and recovers unfinished tasks by a compensation mechanism. The method is adaptable to complex distributed environments, has high real-time performance and sensitivity, and significantly improves the stability and reliability of the system.

The invention discloses a multi-device collaborative passenger flow statistical method and system, and the method comprises the following steps: presetting a unique identity label and a physical position index for devices, reading the unique identity label and the physical position index, and initializing the attribute information of the devices; a user datagram protocol broadcasting mechanism is started, and heartbeat information including the unique identity label, the physical position index and the online state is sent according to a preset period; monitoring the user datagram protocol broadcast message in the local area network, constructing and maintaining an online equipment list, and updating the online state of the equipment according to the heartbeat information receiving analysis condition; judging adjacent equipment based on a physical location index, and deciding whether to start a first boundary or a second boundary according to the online state of the adjacent equipment; and the decision result is transmitted to a passenger flow statistical algorithm to generate a shop-crossing detection line. According to the invention, multi-device collaborative passenger flow statistics dynamic boundary configuration is realized, the shop-crossing detection line is accurately generated, and the passenger flow statistics problems of fixed boundary configuration, easy missed counting and poor multi-device collaboration are solved.

The invention relates to the cross technical field of a distributed artificial intelligence system and micro-service governance, in particular to a service monitoring and management system based on a distributed Agent, which adopts a three-level architecture of a user layer, a host Agent layer and a service Agent layer: the user layer is provided with a unified entrance forwarding request; the host Agent layer is integrated with a service registry and other modules to realize global management and control; the service Agent layer comprises a registration module and the like to complete function and state feedback. Through four innovations of a dynamic observability model, an incremental heartbeat protocol, a fine-grained state machine and an intelligent routing engine, dynamic binding of a service function and a state is realized. The scheme has the advantages that the service observability is improved, and the problem positioning efficiency is optimized; the monitoring data transmission quantity is reduced; the service interruption time is shortened, and the availability is improved; and the method is suitable for scenes such as intelligent customer service and the like.

The invention provides a satellite-borne computing cluster design scheme with an automatic operating system repairing function. According to the scheme, the heartbeat information and serial port output data of each computing node are synchronously monitored, the operation state of the operation system is accurately judged, node faults are diagnosed, meanwhile, an automatic operation system reinstallation mechanism is configured in the scheme, once the faults are detected, the control node automatically triggers the operation system reinstallation process of the fault computing node, and the operation system reinstallation efficiency is improved. In addition, in order to ensure the reliability of the repair operation, the scheme adopts a multi-PXE server redundancy mechanism, and a plurality of PXE servers are deployed to ensure that the system can still quickly acquire a boot file and a mirror image file from other servers even if part of the servers fail, so that a computing node can accurately acquire required resources, and the reliability of the repair operation is improved. And a solid foundation is laid for stable operation of a satellite-borne computing cluster.

The invention discloses a multi-modal interaction evaluation system and method based on synchronous data acquisition, and relates to the technical field of biomedical engineering and man-machine interaction, and the method comprises the steps: generating a synchronous pulse sequence through a synchronous signal generator according to the same coding time base, and outputting the synchronous pulse sequence to an optical path and an electrical path at the same time; pulse events are recognized in the video and the electrophysiological data respectively, and observation pairs of counting numbers and timestamps are obtained; time drift is continuously estimated and compensated through robust regression in a sliding window, and a unified time axis is generated; furthermore, a dynamic time window of heart beat anchoring is constructed according to an R peak event of the electrocardiosignal, and consistent segmentation and feature extraction of cross-modal data are achieved.

A system and method of detecting presence of arrythmia in an electrocardiogram (ECG) signal. The method comprises steps of applying a decomposition algorithm to one or more portions of the ECG signal, each portion corresponding to at least one heartbeat. The method also comprises, for each portion, selecting at least one output of the decomposition algorithm; providing the selected at least one output to a first trained convolutional neural network (CNN) arrangement, the first CNN arrangement generating coefficients of a predetermined size; and inputting the coefficients of the predetermined size to a second trained CNN arrangement, the second CNN arrangement trained to output a classification of whether arrythmia is present in the portion of the ECG.

A method for agent failure detection including listening for an agent heartbeat signal from an agent, updating a most recent heartbeat timestamp for the agent upon receiving the agent heartbeat signal from the agent or, upon not receiving the agent heartbeat signal, probing the agent for a response. Upon receiving the response from the agent, the suspect agent designation is removed from the agent and the most recent heartbeat timestamp is updated. Upon not receiving the response, the method further includes designating the agent as a failed agent, sending a message to a service mesh and / or a message pool regarding the agent being designated a failed agent, activating a shadow agent associated with the agent, and resuming operation with the shadow agent replacing the agent.

The invention relates to the field of artificial intelligence, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a front-end gray release method, device, equipment and medium, and the method comprises the steps: obtaining the login information of a user, and starting a heartbeat request; periodically acquiring latest gray information from a rear end based on the heartbeat request, and storing the latest gray information to a local cache; in response to the page access request, according to the latest gray information in the local cache, determining whether the page currently requested to be accessed meets the gray release logic or not; if yes, sending a resource loading request to the rear end, and receiving a loaded resource type returned by the rear end after performing service logic judgment based on the resource loading request; and loading a corresponding gray page or generating a page at the front end according to the loading resource type. The latest gray level information is synchronized to the local cache through a heartbeat mechanism, and the back-end service request is only performed for the page meeting the gray level release logic, so that the service performance of the system is not influenced while the gray level release page is flexibly controlled.

The invention relates to a mine disaster early warning method and system based on machine learning. The method comprises the following steps: detecting node response time based on a periodic heartbeat signal to obtain an invalid node list; the periodic heartbeat signal is actively sent by a control node and is used for indicating all nodes to feed back the node response time; the invalid node list is used for representing invalid nodes in the network topological graph; based on the invalid node list and a real-time network topological graph, calculating an optimal path through a Q-learning algorithm to obtain an optimized communication path table; based on the optimized communication path table, synchronizing early warning information through an improved Raft protocol to obtain a global consistent early warning information set; and planning an optimal escape route based on the global consistent early warning information set and a three-dimensional digital twinborn model of the mine to obtain an early warning instruction set, and sending the early warning instruction set to an escape terminal. By adopting the method, the effects of quickly achieving consistency of the early warning information in the topological network and dynamically adjusting the escape path can be achieved.

The invention discloses a mirror image file transmission method and device, electronic equipment and a storage medium, and relates to the technical field of computers. According to the method, the difference comparison algorithm is preferably utilized to acquire the difference data blocks for uploading or downloading of the mirror image file, so that the data transmission quantity is reduced, the bandwidth occupation is reduced, the network state parameters are monitored in real time during data transmission, and the bandwidth requirement is predicted by adopting a mixed time sequence prediction mode according to the network state parameters, so that the data transmission efficiency is improved. And through the decision tree, the distribution action is optimized, the size of a transmission window and the sending rate of a data packet are dynamically adjusted, the transmission rate is improved, the transmission state of each data block is recorded during data transmission, a heartbeat packet is periodically sent to detect the connection state, reconnection is started after disconnection is detected, and transmission is continued from an interruption point after successful reconnection. And the integrity of the data is verified after the data block transmission is completed, so that the fault tolerance is improved.

The invention provides a vehicle controller remote software upgrading method, system and device, a diagnosis server and a storage medium. The method comprises the following steps: receiving a heartbeat signal of a message router; creating a software updating process; transmitting the controller query sequence to a message router; receiving a query response of the controller; determining whether a software upgrading execution condition is satisfied or not; sending a preparation sequence to a message router; receiving the response of the vehicle controller to the programming precondition checking task and the controller setting task; sending the flashing sequence and the verification sequence to a message router; receiving a verification response of the vehicle controller; generating and sending a software upgrading success notification; when the communication error information is received, a task with a communication error is positioned; executing retransmission on the task with the communication error; and destroying the software updating process when the heartbeat signals are not received in a preset number of continuous periods. According to the invention, the controller software of multiple vehicles can be remotely upgraded at the same time, and the cost of diagnostic equipment is saved.

The invention discloses a heartbeat packet sending method, a storage device and electronic equipment, the storage device comprises a processor and a memory, a first corresponding relation and a target temperature difference are stored in the memory, and the method comprises the following steps: detecting that the processor needs to enter a low power consumption state, and obtaining a first temperature and a first moment corresponding to the first temperature; determining a first heartbeat interval according to the first temperature, the first moment, the first corresponding relation and a target temperature difference; sending a first heartbeat packet to the main system according to the first moment and the first heartbeat interval, and obtaining a second temperature and a second moment corresponding to the second temperature; determining a second heartbeat interval according to the second temperature, the second moment, the first corresponding relation and the target temperature difference; a second heartbeat packet is sent to the main system according to the second moment and the second heartbeat interval, the first heartbeat interval is different from the second heartbeat interval, and the requirements for low power consumption and high reliability can be met at the same time.

The invention discloses a hardware monitoring switching circuit and a hardware monitoring switching method for a dual-processor system. The circuit comprises an output circuit, a three-time falling edge detection circuit and a logical judgment circuit which are respectively connected with each processor, and a discrete magnitude output switching control circuit, the output end of each processor is connected to the input end of the corresponding output circuit and is used for transmitting discrete magnitude to the corresponding output circuit; the detection end of each processor is connected to the input end of the corresponding three-time falling edge detection circuit, and the output end of the three-time falling edge detection circuit, the heartbeat signal port of the processor and the external reset signal port of the processor are respectively connected to the input end of the corresponding logic judgment circuit. The logic judgment circuit is used for comprehensively judging the three paths of signals to form state signals of the processors; the output ends of the two logic judgment circuits are respectively connected to the input end of the discrete magnitude output switching control circuit, and the output end of the discrete magnitude output switching control circuit is respectively connected to the control ends of the two output circuits, so that state signals of the two processors are synchronously and respectively sent to the two output circuits through the discrete magnitude output switching control circuit; therefore, the two output circuits are controlled to output in combination with the state signals of the two processors.

The invention discloses an electric power SCADA message bus service method, system and device based on a distributed architecture and a medium, and belongs to the technical field of electric power system automation and industrial communication, and the method comprises the steps: collecting real-time operation data from an electric power device; a corresponding message theme is generated according to a data type and an area to which the data belongs, and a Broker node dynamically allocates a message routing path through a hash ring, so that a single-point bottleneck is avoided; carrying out distributed storage and synchronous processing on the collected message data; the SCADA application subscribes to message data according to a preset theme, executes monitoring, warning or analysis operation according to a theme type, and realizes parallel processing and load balancing through a partitioning mechanism; and monitoring the state of each Broker node through a periodic heartbeat mechanism. According to the invention, the unification of high throughput, low delay, strong consistency guarantee and elastic expandability is realized, and the data processing capability and the operation stability of the electric power SCADA system in a large-scale access scene are remarkably improved.

The invention discloses a Raft consensus algorithm-based dynamic management method and a related device, and relates to the technical field of communication, when a slave node server does not receive a heartbeat packet of a master node server overtime, the slave node server is automatically converted into a candidate node server and broadcasts an election request; and if the number of the received feedback information for confirming that the candidate node server is changed into the master node server is greater than half of the total number of all the slave node servers, determining that the candidate node server is changed into the master node server. The delay risk that a master-slave centralized architecture depends on manual monitoring and manual switching is thoroughly eliminated, fault discovery and response are solidified on an algorithm level, and automatic disaster recovery without human intervention is achieved.