31results about How to "Improve Observability" patented technology

The invention discloses an industrial robot motion pose error calibration method based on constraint solution. The industrial robot motion pose error calibration method comprises the steps that S1, joint angles, tail end coordinates and temperature data of multiple measurement points are collected; s2, correcting the kinematic model by using the thermal elongation and constructing a parameter identification model; s3, constructing a mixed integer nonlinear constraint pool according to mechanical limitation; s4, introducing a semi-definite programming slack variable to convert the non-convex constraint into a linear matrix inequality; s5, combining a primal-dual interior point method and an alternating direction multiplier method to iteratively solve the optimal kinematics parameter correction; s6, introducing a square root information filtering improvement mechanism to correct a state vector square root factor, and calculating an updated nominal kinematics parameter; and S7, based on the condition number of the error Jacobian matrix, judging observability and repeatedly calibrating. According to the method, the problem of precision reduction caused by thermal errors is solved, and the identification precision, the numerical stability and the self-adaptive calibration capability of the kinematics parameters of the robot are improved.

The invention discloses a PCIe link state monitoring system and a monitoring method thereof. The PCIe link state monitoring system comprises a PCIe monitoring subsystem, a PCIe controller subsystem and a PHY (Physical Layer) module, wherein the PCIe controller subsystem and the PHY module are connected through a PIPE interface, and the PCIe monitoring subsystem is used for monitoring state information of a PCIe link; four levels of leaky bucket modules are integrated on the same layer of the PCIe monitoring subsystem, and the four levels of leaky bucket modules are used for dropping correctable error information in the state information of the PCIe link into leaky buckets, carrying out overflow counting to obtain leaky bucket overflow times, carrying out error pattern recognition according to the leaky bucket overflow times and preset different execution thresholds, and outputting the error pattern recognition result. Link recovery is carried out by adopting a progressive link recovery strategy; therefore, extra special equipment does not need to be introduced into the PCIe link, the observability of the PCIe link can be improved, and correctable errors caused by the signal integrity problem on the link can be analyzed and diagnosed in real time, so that a corresponding link recovery strategy is adopted.

The invention discloses an effective security domain-based post-power-grid-fault operation adequacy repairing method and system, belongs to the technical field of power grid fault repairing, and aims to solve the problems of conservative static limit, lack of visual representation of multi-section security situation and insufficient real-time cooperative correction capability in a traditional N-1 checking method. According to the method, the dynamic section limit is constructed by introducing the adjustable power flow transfer coefficient, and the visual depiction and the global strategy feasibility identification of the multi-section coupling safety boundary are realized based on the effective safety domain concept; and establishing a convex optimization collaborative repair model which takes the operation adequacy as a guide and takes the minimum total energy consumption of stored energy as a target. The improvement of quota formulation from static state to dynamic state, safety analysis from isolation to coupling and correction decision from experience to optimization is realized, and the observability of the operation state and the accuracy of the scheduling decision after the power grid breaks down are remarkably enhanced.

The application belongs to the technical field of artificial intelligence, and is suitable for the insurance field, and discloses a dynamic insurance process management method, which comprises the following steps: acquiring an actual insurance process, and establishing an insurance process model; constructing a parameterized process template through a visual arrangement platform, defining process execution logic, and generating or adjusting the execution logic and sequence of each business node in the insurance process model; in the running process of the insurance process model, log data generated by the insurance process model is collected, and the log data is processed and cleaned based on stream computing; a log analysis engine is constructed, the processed log data is input into the log analysis engine for analysis, and process optimization suggestions are generated; the analysis results and optimization suggestions generated by the log analysis engine are fed back to the visual arrangement platform, and the process arrangement strategy is adjusted. The application solves the technical problems of difficult fault positioning and lack of intelligent disaster recovery and elastic recovery mechanism caused by high system coupling degree in the existing insurance business system.

The application relates to the technical field of active sonar detection, in particular to a transmission waveform selection method for target wake field disturbance detection, which comprises the following steps: applying uniform engineering constraints to selected engineering realizable waveforms to construct a candidate transmission waveform set of a detection system; equivalent the influence of target wake field disturbance on sound propagation to a time delay perturbation process of multi-path propagation, and establishing a target wake field disturbance sensitivity model accordingly; using the target wake field disturbance sensitivity model, calculating the sensitivity indexes of each candidate transmission waveform in the candidate transmission waveform set and sorting, taking the candidate transmission waveform with the largest sensitivity index as the optimal transmission waveform most suitable for target wake field detection; instructing the transmission end of the detection system to transmit a sound wave signal based on the optimal transmission waveform. The method can improve the observability of weak propagation time-varying characteristics caused by wake disturbance, and make the selection of the transmission waveform have stronger explainability and scene adaptation ability.

The application discloses a bamboo bending device which is mainly composed of a speed-regulating motor, a belt transmission, a bending arm, a gas-liquid mixing cylinder, a force-adding pressure head, a bending die, a fixed die, a bending roller, a temperature control device and a heating device. The bending arm is fixed on a main shaft through a key groove, and the overall shape of the bending arm is similar to an L type. The bending die is fixed on the bending arm through a shaft, and the fixed die is fixed on a box body through a stand column. The gas-liquid mixing cylinder is fixed on a single-ear or double-ear cylinder base through a screw, and a stand plate is fixed on the cylinder base through a screw, so that the gas-liquid mixing cylinder can rotate by a certain angle on the bending arm. The force-adding pressure head is fixed on a cylinder head through a screw, and a linear slide rail is fixed on the force-adding pressure head through a screw, so that the movement track of the force-adding pressure head is positioned. The bending roller is fixed on the force-adding pressure head through a fixed shaft, so that the bending die, the fixed die and the bending roller can be just put into a bamboo and fixed in the initial position.

The invention discloses a double-loop water chemical multi-parameter coordinated regulation and control test device for nuclear power material corrosion simulation. The double-loop water chemical multi-parameter coordinated regulation and control test device comprises a low-pressure water chemical pretreatment loop, a high-temperature and high-pressure corrosion simulation loop and a control module, the low-pressure water chemical pretreatment loop is connected with the high-temperature and high-pressure corrosion simulation loop through a pipeline and a valve, so that the test medium regulated and controlled by the low-pressure water chemical pretreatment loop is conveyed to the high-temperature and high-pressure corrosion simulation loop and flows back to the low-pressure water chemical pretreatment loop; the control module is electrically connected with the first monitoring component, the second monitoring component, the dissolved hydrogen / oxygen control unit, the dosing unit and the autoclave heating unit, receives and analyzes the hydrochemical parameter deviation of the low-pressure hydrochemical pretreatment loop and the high-temperature and high-pressure corrosion simulation loop by adopting a PID (Proportion Integration Differentiation) regulation algorithm, and dynamically regulates the working state of the execution unit; therefore, multi-parameter coordinated regulation and control are realized.

This invention discloses a data task orchestration method that supports end-to-end tracing and service-oriented architecture. It accesses multi-source heterogeneous data through pluggable data source adapter components and transforms the data into a unified internal data model. The process model includes start event nodes, batch processing task nodes, stream processing task nodes, gateway nodes, and end event nodes. It breaks the limitations of traditional static FGA models, supporting mixed orchestration of batch and stream processing within the same process model, as well as complex process control based on parallel and inclusive gateways. The traceId mechanism enables end-to-end task tracing, facilitating fault location and operational monitoring.

The application relates to a method for testing the electrical signal integrity of a memory high-speed read-write process, and relates to the technical field of memory electrical signal integrity testing, which comprises the following steps: when a read-after-write sequence or a write-after-read sequence is executed on a to-be-tested memory, DQ signals, DQS signals, clock signals and read-write command signals are synchronously collected; the time point when the last valid data bit of a previous read-write operation ends is determined according to the read-write command signals; the DQS sampling edge of a next read-write operation is determined according to the DQS signals; a bus release observation interval is set between the two; the voltage deviation of one or more DQ lines relative to a preset static voltage level range is measured; a time interval between a next read-write command sending time point and an ending time point is taken as a starting interval; the starting interval is changed and the measurement is repeated; in the case that the voltage deviation exceeds a preset threshold when the DQS sampling edge arrives, the corresponding DQ line, read-write switching sequence type and starting interval are recorded, and a test result is formed, so that the release residual influence can be located.

The application relates to a method and system for dynamically optimizing CPU scheduling based on thread affinity, and belongs to the technical field of computer operating system performance optimization. The system constructs an affinity thread graph of a target thread in real time through eBPF, analyzes the CPU resident distribution of the affinity thread, integrates the affinity information into CPU selection, task queuing and dispatching logic, realizes the same core / NUMA node scheduling of the target thread and the affinity thread, reduces the cross-core overhead, and improves the execution efficiency of the target thread.

The invention provides a SmartNIC network card multi-dimensional data acquisition method for heterogeneous computing, and relates to the technical field of network management, the method comprises the following steps: taking a SmartNIC network card as a data hub, and carrying out active query of a running state to obtain M heterogeneous component state data streams; carrying out cross-calculation component alignment segmentation, and constructing K associated behavior portraits; performing performance mode mining, and constructing a cross-component behavior graph; after interference mode recognition is carried out, interference root cause quantitative analysis is carried out according to the K component calling chains, and an interference root component and an interference propagation quantitative link are obtained; and carrying out dynamic balancing on closed-loop resources of the SmartNIC network card. According to the method and the device, the technical problems that the resource scheduling and task scheduling efficiency is low and the overall performance of the system is influenced due to the fact that the prior art generally focuses on monitoring of a single computing resource and neglects the synergistic effect among a plurality of computing components in a heterogeneous computing environment are solved.

This invention relates to the field of computer security technology, specifically to a verifiable change access control method and system based on SET and dual atomic locks. The method includes generating a unique hash identifier for the request intent: intent_hash; constructing and issuing a certificate, which at least includes a secure execution type (SET), an expiration date, a replay protection field, a root of evidence, and a signature; binding the certificate to the intent_hash; performing expiration date checks through fast gating; and performing atomic occupancy operations based on the replay protection key. This verifiable change access control method and system based on SET and dual atomic locks achieves an end-to-end security closed loop, eliminating the possibility of execution bypass; providing industrial-grade consistency and replay protection guarantees through dual atomic operations and dual-channel consistency gating; constructing a self-verifying and tamper-proof chain of evidence, greatly improving auditability; forming a tiered defense-in-depth system, enhancing the overall system's robustness and resistance to censorship; and improving the system's determinism and observability.

The invention relates to the technical field of metallurgical process control, and discloses a molten pool smelting intelligent dynamic control system based on multi-parameter coupling, which comprises a global perception sensor network, a data fusion and state evaluation module and a precise execution control system. According to the system, heat-fluidization multivariable variables of a molten pool are obtained at high frequency through a global perception sensor network, a data fusion and state evaluation module completes prediction-updating through Kalman filtering, abnormal value elimination is carried out through a Mahalanobis distance threshold, working condition drifting is restrained in combination with self-adaptive R / Q, and the state of the molten pool is evaluated. State evaluation is carried out, the middle temperature, the copper matte grade, the liquid level, the change rate and the circulation strength are generated, an LSTM model is adopted for short-time prediction, control suggestions are generated, an amplitude / slope limiting function and a safety interlocking mechanism are matched, a closed-loop execution process is formed, the accurate execution control system converts the control suggestions into actual control actions, and the actual control actions are controlled. And the state of the molten pool is accurately adapted, operation feedback and state monitoring data are transmitted back, and the intelligent control operation efficiency is high.

This application discloses a cross-level tracing monitoring method and system. The server-side method includes: generating and integrating a globally unique tracing identifier into an external business request to obtain the target business request; transmitting the globally unique tracing identifier in the target business request through each level of the microservice architecture as the target business request flows through a preset multi-level microservice architecture; collecting monitoring data generated when the target business request flows through each level of the microservice architecture; associating the monitoring data with the globally unique tracing identifier to obtain the monitoring data of each level of the microservice architecture; and performing cross-level correlation analysis on the monitoring data of each level of the microservice architecture to identify abnormal patterns and locate the root causes of the abnormal patterns. By using this application, monitoring data isolated at each level can be correlated and integrated through the globally unique tracing identifier, thereby achieving cross-level tracing and root cause location of abnormal events in the system, significantly improving system availability and operational efficiency.

The invention discloses a winding device, and relates to the technical field of automatic winding, and the winding device comprises four winding assemblies which are respectively located at four vertexes of a rectangle; the winding assembly comprises a mounting base, a lower die and an upper die, the lower die and the upper die can synchronously rotate around a vertical axis; the two transferring assemblies are located on the two sides of the four winding assemblies in the second direction respectively, and each transferring assembly corresponds to two winding assemblies distributed in the first direction at intervals; the transferring assembly comprises a first sliding rail, a second sliding rail, a third sliding rail and a material taking part. For the two winding assemblies which are distributed in the first direction at intervals, when one winding assembly conducts the winding process, the other winding assembly is matched with the transferring assembly to conduct the transferring process; the mounting base and the transferring assembly are located on the two sides of the upper die in the second direction, and the four winding assemblies are all arranged outwards. According to the winding device, multi-station efficient operation is guaranteed, meanwhile, the structure of the winding assembly can be simplified, and the observability and maintainability of equipment are improved.

The present application relates to the technical field of computer software security, and specifically discloses a multi-agent collaborative arrangement method and system based on software supply chain security detection, wherein a task disintegration and stage arrangement engine is constructed to organize multiple special security detection agents such as SCA agents, code audit agents and license detection agents into a directed acyclic graph type detection pipeline; a task state machine is used to manage the life cycle state of each detection node, and asynchronous queues are used to realize decoupled communication between agents; the scanning results of upstream agents are used as the task input and strategy parameters of downstream agents to realize result-driven dynamic arrangement; and a failure node compensation mechanism is used to automatically retry or degrade and replace abnormal detection nodes to ensure the integrity of the overall detection task and improve the reliability and integrity of software supply chain security detection.

The invention discloses a data management optimization method and system for a database performance diagnosis report system. The method comprises the following steps: managing a unique SQL statement memory, separating fixed-length metadata from variable-length text storage, caching a full query tuple by utilizing a memory management component supporting disk overflow, and destroying and reconstructing a memory context to realize complete recovery of the memory; the IN clauses are normalized, an array operation expression structure is recognized, and the constant list is wholly replaced with placeholders; and storage optimization of the snapshot data table: configuring the diagnosis snapshot table to be in a log-free mode, establishing range partitions according to snapshot identifiers, and replacing line-by-line deletion with partition cascade operation during cleaning. According to the method, memory occupation is reduced and an instantaneous peak value is eliminated through a storage decoupling and dynamic overflow mechanism, I / O overhead and maintenance cost are reduced by enhancing the storage scale of the normalized compression SQL and through log-free partitioning and metadata level cleaning, and the operation efficiency and stability of a diagnosis system are remarkably improved.

The application discloses a method and system for transparent access and traffic management of heterogeneous databases in a Xinchuang environment. The method intercepts database access requests initiated by applications through an intelligent proxy gateway, identifies the underlying communication protocol type, extracts business feature information and encapsulates it as a unified request context. According to the unified request context and the preset routing strategy and traffic management strategy, the processing action decision for the request is determined, including allowing forwarding, flow limiting or fusing. According to the processing action decision, the corresponding processing is performed. The traffic management strategy further introduces the calculation of request semantic density, database transient pressure index and dynamic fuse offset factor, realizing adaptive flow limiting and smooth fuse based on semantic complexity and backend pressure. The application realizes unified access, dynamic routing and fine traffic management of domestic heterogeneous databases without modifying the application, improving the stability and scalability of the database system in the Xinchuang environment.

This invention discloses an API-driven intelligent scheduling and dynamic adaptation method for service containers, applicable to Kubernetes clusters and / or Docker Swarm clusters. The method receives service container operation requests through an API gateway, authenticates and authorizes them via a security control module, and generates target instructions after a parameter validator verifies image information, resource quotas, and runtime parameters. The container management module then creates, starts, stops, deletes, and monitors the status of containers. The resource scheduling module selects target nodes and controls scaling based on business priorities and node resource usage. The log management module centrally collects, stores, and analyzes requests, runtime status, and scheduling results, providing a basis for blue-green deployment, rolling upgrades, and anomaly rollback of service versions. This method achieves full lifecycle management and cross-environment dynamic adaptation of containers based on a unified API, reducing the operational threshold and improving resource utilization and service stability.

This invention relates to the field of machine vision technology, and more particularly to a structural deformation monitoring camera and its control method. The structural deformation monitoring camera includes: a housing forming a cavity, the housing having a monitoring window, the cavity communicating with the outside through the monitoring window; a switchable beam combining element, an imaging lens, an image sensor, an coded reference target, and a relay lens group located within the cavity; a detection monitoring beam enters the cavity through the monitoring window, and an initial reference beam formed by the coded reference target is converted into a reference beam by the relay lens group; when the structural deformation monitoring camera is in monitoring mode, the switchable beam combining element guides the monitoring beam into the main imaging optical path; when the structural deformation monitoring camera is in calibration mode, the switchable beam combining element guides the reference beam into the main imaging optical path. This invention at least helps to improve the stability and accuracy of long-term unattended visual deformation monitoring.

The application provides a kind of data mapping method and system for SAP PI application integration platform, it is related to industrial internet technical field, method includes building multidimensional data mapping template library, extraction and classified storage field mapping, type conversion and data check rule;Based on the metadata information of the to-be-mapped data source, the optimal target mapping template is intelligently selected;Sample check is carried out on the to-be-mapped data, field completion interface Q or update type conversion logic is automatically called, data conversion is completed;The throughput, time consumption and success rate in the conversion process are monitored in real time, and the alarm and retry mechanism are triggered when the conversion is abnormal;The system includes data mapping template library construction unit, target mapping template matching unit, data check and conversion unit, conversion process monitoring and feedback unit;The application realizes the automation, intelligentization and high reliability of data mapping process, improves the efficiency and accuracy of SAP PI platform in multi-source heterogeneous data integration.

The invention relates to the technical field of data analysis, and discloses a data analysis method and device based on a CPU platform, equipment and a medium, and the method comprises the steps: identifying a CPU type and an operating system type of a running environment where monitoring application software is located; calling a monitoring program corresponding to the identified CPU type and the operating system type in a monitoring program unit; activating a hardware monitoring interface corresponding to the CPU type according to the monitoring program, and loading a target monitoring drive program corresponding to the hardware monitoring interface; monitoring the performance data of the CPU in real time through the target monitoring drive program, performing alarm analysis on the monitored performance data, and generating an alarm signal of the CPU platform; and transmitting the alarm signal and the performance data to the monitoring application software, and displaying the alarm signal and the performance data on a visual interface of the monitoring application software. According to the invention, the accuracy of CPU data analysis can be improved.

The invention provides a wine cross-flow filtration flow rate control method and system, a fixed terminal turbidity target value is determined according to product standards and downstream process requirements, an initial circulation flow rate reference value and an initial operation pressure are determined according to initial characteristic parameters and preset membrane module process parameters, and then cross-flow filtration is started. The real-time turbidity, the transmembrane pressure difference and the permeate flux of the filtrate are monitored synchronously, the membrane pollution development index is determined based on the rising rate of the transmembrane pressure difference and the falling rate of the permeate flux, and then the circulation flow rate is adjusted according to the comparison result of the membrane pollution development index and the preset membrane pollution threshold value. And when the real-time turbidity is continuously lower than the terminal turbidity target value and the transmembrane pressure difference and the permeate flux are in a reasonable working condition range, judging that the wine filtration is completed. By adopting the scheme of the invention, intelligent flow velocity control can be performed on wine cross-flow filtration based on the predicted pollution trend at the initial stage of filtration.

The invention discloses a PLC variable pitch control method and system fusing digital twin data, which introduces an active disturbance injection mechanism on the basis of the existing control architecture of a PLC, and enhances the observability of the dynamic characteristics of the system by superposing a weak excitation signal in a reference PID (Proportion Integration Differentiation) instruction. The filtered generator rotating speed and pitch angle feedback data are used for online identifying an ARX model reflecting the real-time pneumatic and mechanical characteristics of a unit, and the ARX model is mapped into a continuous state space model. On this basis, a multi-objective optimization framework based on a linear quadratic regulator is constructed, the power generation efficiency and the mechanical load are balanced through a quantized weight coefficient, and an optimal PID parameter is analyzed and calculated and is smoothly updated. According to the mechanism, online sensing and self-adaptive compensation of slow varying characteristics such as fan component aging and blade icing are achieved in a low-computing-power PLC, and the technical problem that a traditional static control strategy cannot give consideration to performance optimization and load balance in the whole life cycle is solved.

The application discloses a kind of forging and pressing processing equipment and robot feeding and discharging collaborative control method, the position of slider of forging and pressing processing equipment, die opening and closing, pressure, beat phase and safety interlock state are collected, and the attitude, clamping, load, path and workpiece state of robot are collected, and forging and pressing processing equipment, robot, workpiece and safety area are mapped into unified collaborative state;According to the beat phase of equipment, generate feeding and discharging permission token;Robot only enters equipment operating space to complete feeding or taking material when token is valid and safety area meets occupancy condition;Equipment only executes forging and pressing action after robot exits, safety area releases and workpiece is in place confirmation;Also according to beat deviation, workpiece temperature and abnormal event, subsequent permission time window, robot path and equipment waiting strategy are dynamically revised.Through the above mode, the waiting, collision and misoperation risk between forging and pressing equipment and robot can be reduced, and the stability of forging and pressing production beat and the reliability of automatic feeding and discharging are improved.

This invention discloses an online deviation calibration method and system for electricity meters, relating to the field of electricity detection technology, including the following steps: S1: Constructing a hierarchical topology measurement relationship for the distribution area and collecting metering data from the main meter and user electricity meters in the distribution area, while simultaneously collecting hierarchical node data from the meter box metering module and the branch box metering module, triggering control for the collection of frozen electricity, and completing meter synchronization before collecting frozen electricity, recording the clock deviation during the synchronization process and forming a unified time reference; S2: Performing time series information compression and anomaly detection based on the multi-dimensional dynamic and static data distribution changes of the distribution area and electricity meters. Based on the energy conservation of hierarchical topology measurement and time-frozen electricity, this invention introduces a decodeable calibration watermark beacon excitation and, through related decoding inversion path loss constraints, combines non-convex sparse multi-objective solution with uncertainty threshold constraints to achieve quantitative calibration output of online deviation of electricity meters.

The present application relates to the technical field of industrial internet of things communication, and provides a construction method and system of large-scale deterministic wireless communication network, which realizes node AP-STA dual-mode configuration and concurrent scheduling through virtual interface technology, constructs multi-level tree-shaped topology and allocates structured static logical address with embedded routing prefix, updates dynamic reputation score based on communication characteristics to perform access control, bypasses dynamic routing when reputation meets the standard, performs bitwise AND operation on target address by using bit mask to realize straight-through forwarding, and performs topology self-healing by combining hardware delay backoff and multi-dimensional scoring of reputation, signal and load when parent node fails. The present application effectively solves the complex routing overhead and improves the forwarding determinacy and active defense capability under large-scale networking.

The application provides a structural attenuation feedback pipe wall corrosion crack image denoising enhancement method, relates to the field of image enhancement, aims to reduce the influence of uneven illumination, reflection, low illumination and noise interference on the pipe wall image by acquiring the pipe inner wall image and mapping to the axial-toroidal development coordinate system, combining low-frequency light field estimation, light correction, imaging reliability analysis and noise intensity estimation, according to the dark spot response, linear structure response, boundary irregular response and direction consistency, competing normalization generates three types of state gating diagrams of normal pipe wall, low reliability area and corrosion crack structure; the data fidelity weight, gradient smoothing weight and direction curvature constraint weight are generated from the state gating diagram, and the linear structure response attenuation amount is used for closed-loop feedback correction to construct a variational denoising model, reduce the structural loss of corrosion cracks, pitting pit boundaries and fine grooves in the denoising process, and improve the denoising enhancement effect and defect observability of the pipe inner wall image.

This invention belongs to the field of image processing and discloses a method and related apparatus for repairing low-light defect images. The method includes acquiring a low-light defect image to be repaired and constructing a defect region masking image of the low-light defect image; performing illumination enhancement on the low-light defect image according to a pre-trained low-light image enhancement model to obtain an illumination-enhanced defect image; and performing defect content repair on the illumination-enhanced defect image according to a pre-trained defect content repair model and the defect region masking image to obtain a repaired image. The low-light image enhancement model is constructed based on Retinex theory; the defect content repair model is constructed based on a method applying receptive fields of different sizes. Images acquired in low-light environments first undergo illumination enhancement processing, and then the structure and texture of image defects are repaired by applying methods with different receptive field sizes to obtain a complete imaging effect. By applying a two-stage repair strategy of illumination enhancement and defect content repair, better low-light defect image repair results are obtained.

The invention provides a multi-task progress monitoring method and device, electronic equipment and a storage medium, and is applied to a server side, and the method comprises the following steps: obtaining information of a plurality of to-be-executed tasks; executing the same target operation on the plurality of to-be-executed tasks; calculating the operation progress of each operation step in real time; storing or updating the operation progress into a remote dictionary service Redis cache; and when a progress access request periodically sent by a user side is received, feeding back the operation progress of each operation step in each to-be-executed task currently stored in the remote dictionary service Redis cache to the user side so as to display the operation progress of each operation step of each to-be-executed task at the user side. According to the method, the real-time progress of each operation step in each task can be displayed for the user.