861 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 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.

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 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 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 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 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.

The invention relates to the technical field of physiological measurement, in particular to a remote physiological measurement method combining multi-scale periodic attention and MAE (self-supervised learning). The method comprises the following steps: S1, constructing an SRMFormer overall framework based on a space-time fusion module, an original video MAE module and a multi-scale periodic attention module; and S2, carrying out block embedding processing on the output of the space-time fusion module through Patch Embedding, and respectively inputting Token into an original video MAE module and a multi-scale periodic attention module combined with physiological priori for processing. According to the remote physiological measurement method combining the multi-scale periodic attention and the MAE, a self-attention mechanism is aligned with heartbeat intervals on multiple time scales through a multi-scale periodic attention module in combination with physiological priori bias, and the multi-scale periodic attention is obtained through an original video MAE structure. A shielded video Token can be reconstructed through periodic sensing loss under the condition of no preprocessing, so that a manually designed STMap (space-time diagram) process is removed.

The present disclosure provides a system and method for managing an artificial intelligence (AI) agent within a secure cloud-based enclave. The system discloses consolidated training to optimize information retrieval by using a structured tree-like system, reducing redundancy in queries. The system provides heartbeat validation to evolve user preferences over time, ensuring accurate responses. Further, the system provides error minimization training to closely mimic user behavior, enhancing satisfaction. The system utilizes prompts and feedback to align responses with user intent. The system ensures that all involved agents are adequately trained, leading to more reliable outcomes. This integrated approach results in an efficient, adaptive, and reliable AI system, streamlining interactions and optimizing user experience.

The invention discloses a dynamic risk management and control method and system for an operation process and field interaction equipment, and relates to the technical field of industrial internet, machine vision and intrinsic safety control. The invention aims to solve the technical problems that the physical state and the digital approval in the existing job management are disjointed, the existing job management is easily attacked by multimedia data fraud (such as screen copying and historical photo forgery), and the control instruction is lagged in a dynamic environment. The method comprises the following steps: a system and a field controller establish bidirectional heartbeat monitoring based on a hardware watchdog, and equipment is set in a physical locking state by default; responding to the operation request, and acquiring multimedia evidence containing a bottom hardware level tamper-proof space-time fingerprint by utilizing a hardware security unit (SE) of the field interaction equipment; the authenticity and the space-time legality of hardware fingerprints are verified at first, and then moire detection, reflection analysis and semantic comparison are conducted through an AI algorithm; and only when the anti-counterfeiting and the content verification are both passed, generating an encryption driving signal to unlock. During operation, a state competition processing mechanism is introduced, if the environment is suddenly changed, the system preferentially suspends the authority through high-priority hardware interruption, and fault-oriented security (Fail-Safe) is achieved. According to the invention, through deep fusion of software and hardware, active defense and millisecond-level dynamic fusing of operation risks are realized.

A communication self-inspection and emergency shutdown method for an offshore wind turbine generator comprises the following steps: acquiring heartbeat signal data between a fan main control unit and a looped network, analyzing frequency and intensity, and judging whether a signal is normal or not; if the signal intensity is low, the interference detection module is started to identify external interference or equipment faults, and a communication interruption timer is started accordingly. And once the communication interruption exceeds the preset duration, a fault is judged and a confirmation mechanism is triggered, and after the fault is confirmed, the main control unit sends an emergency shutdown instruction. And after shutdown, acquiring running state data of the fan to judge whether the fan is completely stopped, recording shutdown time and state change, generating a fault report covering fault types, interruption, shutdown time and fan state change, and uploading the fault report to a looped network monitoring system. According to the method, accurate self-inspection of the communication state of the offshore wind turbine generator is achieved, faults can be found in time, emergency shutdown measures can be taken, detailed data are provided for operation and maintenance personnel, and safe and stable operation of the wind turbine generator is guaranteed.

The invention discloses a node health state determination method and apparatus, and an electronic device. The method comprises the following steps: acquiring a historical state vector of a point-to-point PCDN node in a historical time window; predicting the historical state vector by using a prediction model to obtain a predicted health factor sequence; comparing the predicted health factors in the predicted health factor sequence with a fluctuation sensing threshold to obtain a comparison result; and determining the health state of the PCDN node according to the comparison result. According to the method and the device, the technical problem that the prediction capability of the future trend of the PCDN state is limited when the state of the PCDN node is monitored by adopting a timing heartbeat mechanism or a static threshold judgment mode in the prior art is solved.

The invention provides a current sharing method for multiple power supply racks, which can be applied to the technical field of server power supply current sharing. The current sharing method comprises the following steps: a master controller detects the number of first current power supply units in a plurality of first power supply units and a first total current output quantity, receives the number of second current power supply units in a plurality of second power supply units from a slave controller and a second total current output quantity, and determines a current mean value, a current-sharing signal including a current average value is synchronously issued to the master controller and the plurality of slave controllers; the main processor detects a heartbeat signal of the main controller, controls the first switch module to disconnect the electric connection between the main controller and the plurality of first power supply units and controls the second switch module to disconnect the electric connection between the main controller and the fourth switch module under the condition that the heartbeat signal is not detected within a preset time period; and the second switch module is electrically connected with the plurality of first power supply units and the fourth switch module so as to realize the function of the main controller.

The invention discloses a privacy computing arrangement method, system and device based on dynamic trust and a medium, and relates to the technical field of data security. The method comprises the following steps: receiving a data processing request, and collecting context data including user trust, environmental risk and data sensitivity; calculating a dynamic trust score based on the context data, and dynamically selecting a target privacy calculation technology according to the score; scheduling tasks based on the selected technology and deploying a guard agent in the computing container; running state data is periodically collected through a guard agent to serve as heartbeat for verification, and if verification fails, key interruption and memory erasing and fusing tasks are triggered; after calculation is completed, packaging a result and an access control strategy into a security capsule; and in response to the capsule opening request, decrypting the rendering result in the memory after verifying that the terminal environment conforms to the strategy. According to the method, full-life-cycle dynamic control from calculation request to result use is realized, and the problem that authorization is out of control is solved.

The invention discloses a storage node fault judgment method and device, and relates to the technical field of distributed storage, and the method comprises the steps: obtaining state monitoring results of a plurality of monitoring nodes in a distributed storage system for a target storage node, the state monitoring results comprising a normal state and an abnormal state; acquiring continuous interruption duration of heartbeat connection between the target storage node and the master control node; and when the number of the abnormal states in all the state monitoring results exceeds a preset number threshold value and the continuous interruption duration exceeds a first preset duration, marking the target storage node as a DOWN state. According to the method, the state monitoring data of a plurality of monitoring nodes are introduced, the redundancy and reliability of judgment are enhanced, meanwhile, the continuous interruption duration of heartbeat connection is combined as the judgment basis, the influence of local network fluctuation on the judgment process is reduced, the misjudgment that the storage nodes are in the DOWN state is reduced, and the judgment efficiency is improved. Therefore, the accuracy of judging whether the storage node is in the DOWN state is improved.

The invention relates to the technical field of network communication, in particular to an equipment connection management method and system, a storage medium and electronic equipment. The method comprises the following steps: acquiring connection information of server-side equipment, and establishing connection with the server-side equipment based on the connection information; generating and sending a first heartbeat set packet comprising a plurality of first heartbeat requests; receiving at least one piece of first response information, taking the communication link corresponding to the first response information as a first candidate link, and acquiring response time of the first candidate link according to receiving time of receiving the first response information; performing priority ranking on the first candidate links based on a preset priority rule and response time, and taking the first candidate link with the first ranking as a first target link; and judging whether the priority of the currently adopted communication link is lower than that of the first target link, and if not, switching to the first target link for connection. According to the invention, the connection efficiency can be improved, and the communication link with the optimal communication quality can be automatically selected for connection.

The invention discloses a management and maintenance method and system for a heterogeneous multi-core processor of a spaceborne computer, and relates to the technical field of space scientificity, and the method comprises the following steps: configuring a global addressing controller through a main core in a power-on initialization stage, and executing address access authority distribution of a heterogeneous multi-core processor core; on the basis of combination of a sub-core storage partition strategy and a heartbeat monitoring reset mechanism, a master core periodically detects the state of a slave core and executes reset operation, and lightweight fault-tolerant management of a heterogeneous multi-core processor is achieved to guarantee continuous operation of a multi-core system under local faults; according to the method, radiation-induced storage errors are corrected based on a master core read-back refreshing strategy, slave core access behaviors are restrained through an address space locking mechanism, a master-slave collaborative reliability maintenance system is formed to ensure on-orbit stable operation of the spaceborne computer, and continuous and stable operation of the heterogeneous multi-core processor of the spaceborne computer in a complex space environment can be ensured.

The invention discloses a data retrieval method and system for a distributed database, and relates to the technical field of data storage and data retrieval, and the method comprises the steps: obtaining the operation state data periodically sent by each node through a heartbeat signal collection interface of the nodes of the distributed database, carrying out the time sequence analysis for the signal interval fluctuation, and obtaining the operation state data; if it is detected that the node signal interval exceeds a preset threshold value, marking the node as an abnormal node, determining an abnormal node list, and recording final task metadata analysis information of the abnormal node; according to the abnormal node list, screening out a node with the lowest current load from a standby node pool; according to the data retrieval method and system for the distributed database, quick self-healing, stable operation and continuous response of a distributed database retrieval service in a complex network environment are achieved, and the reliability of the system and the retrieval experience of a user are fundamentally improved.