13results about How to "Fix data loss" patented technology

The invention relates to the technical field of computer application, and discloses a file read-write event monitoring method under an eBPF, which comprises the following steps: initializing an eBPF program, generating a kernel mode byte code and a user mode byte code, loading the kernel mode byte code into a kernel, and carrying out instrumentation in a file operation function to monitor file operation; initializing a preset buffer area for communication between a kernel mode and a user mode, and storing a file identifier of a to-be-monitored file in an eBPF mapping table; and when a file operation function is called, reading kernel structure body information, obtaining an identifier of an operated file, matching the identifier with the identifier in the mapping table, if the matching fails, discarding an event, and if the matching succeeds, judging that the file is in a monitoring range. Therefore, the monitoring of the file read-write event under the eBPF is realized.

The embodiment of the invention provides an agricultural product traceability data acquisition method and system based on the Internet of Things. The method comprises the following steps: acquiring farmland environment data in real time based on a distributed sensor network; the data transmission stability between the sensors is enhanced by using a wireless communication technology; recording data transmitted by the sensor based on a chain type data storage structure so as to ensure data integrity; when a high-humidity environment is detected, a redundant data verification mechanism is started, and data loss is reduced; the traceability data is integrated and analyzed based on the cloud data analysis platform, and the data acquisition accuracy is improved. Through the scheme of the embodiment of the invention, the problem of data loss caused by unstable sensor data transmission in a high-humidity farmland environment can be solved.

The invention discloses a data fusion method and system for a fire detection sensor, relates to the technical field of data fusion, remarkably improves the reliability and accuracy of the system, and solves the problems of false alarm, missing report, environmental interference, sensor fault and the like. By introducing a detailed anomaly detection module and a multi-level threshold evaluation mechanism, the system can accurately distinguish normal fluctuation and real fire signals, and reduces false alarm and missing alarm; in addition, the environment monitoring module calculates an environment interference coefficient in real time and compares the environment interference coefficient with a threshold value, so that the influence of environment factors on the detection accuracy is effectively dealt with, and the detection reliability is improved. The safety fault-tolerant module monitors the state of the sensor and the data transmission process in real time to ensure that a data compensation mechanism is started when the sensor fails or data is lost, so that the fault-tolerant capability of the system is enhanced; the comprehensive measure ensures the stability and accuracy of the system under various interference and fault conditions.

The invention relates to an Ethernet and optical fiber bus data rate adaptation method and device and electronic equipment, and the method comprises the steps: converting the data of an Ethernet protocol into the data of an optical fiber bus protocol according to a communication protocol conversion algorithm; storing the converted data in a data cache region, and determining a sending condition according to a flow control mechanism; and in response to the condition that the rate of the optical fiber bus end meets the sending condition, taking out the data from the cache region, and sending the data to the optical fiber bus equipment. According to the Ethernet and optical fiber bus data rate adaptation method and apparatus, and the electronic device, by implementing a data caching and flow control mechanism, the efficiency and reliability of data transmission can be improved, so that the performance of the whole network system is improved, and meanwhile, the data transmission efficiency is improved. The problem of data loss or congestion caused by mismatching of transmission rates between the Ethernet and the optical fiber bus can be effectively solved.

The present application discloses a method and system for enhancing the availability of a distributed file system. The method comprises: an input step: writing any data into a fastDFS distributed file system through a client; a cache layer creation step: creating a cache layer between a tracking server and a storage server of the fastDFS distributed file system; a processing step: processing the data through the cache layer; an output step: after the data is processed by the cache layer and uploaded to each storage server of the fastDFS distributed file system, a successful upload mark is returned to the client. The present invention solves the problem of data loss when writing data in the fastDFS distributed file system.

The application relates to a multi-source heterogeneous space-time data fusion modeling method and system, which comprises the following steps: creating a root directory as a physical address of a space data model on a computer system; creating subdirectories corresponding to various storage object types under the structure of the root directory as physical addresses of the storage object types; the storage object types comprise vector data, two-dimensional raster data and three-dimensional model data; adding related data of the various storage object types in a core metadata system table; newly creating database files corresponding to the storage object types under the various subdirectories and initializing the database files, and generating exclusive metadata tables corresponding to the storage object types in the database files; obtaining two-dimensional and three-dimensional joint data of a real scene three-dimensional scene as to-be-stored data; based on the type of the to-be-stored data, calling corresponding data conversion tools to convert the to-be-stored data, storing the to-be-stored data in corresponding database files through corresponding storage modes, and associating the to-be-stored data with the exclusive metadata tables in the database files.

The invention belongs to the technical field of deterministic networks, and discloses a reliability-enhanced route selection method in a deterministic network, which comprises the following steps of: acquiring network topology information and deterministic flow attributes, modeling network topology into a directed graph, and defining key parameters of deterministic flow. Thirdly, considering the transient error probability of the link, and constructing a minimum and shortest path set capable of meeting the flow reliability requirement; and based on the minimum path set, finding all data packet redundancy transmission combinations meeting the flow reliability, and determining an optimal combination scheme of path redundancy, transmission quantity redundancy and injection time slot in combination with a circular queue forwarding mechanism of a deterministic network. Then, calculating an optimal scheduling score of each stream, and preferentially scheduling the stream with the highest score; in addition, the invention also provides a corresponding objective function and a constraint condition, and ensures that the requirements of deterministic time delay and time slot capacity are met in the flow scheduling process. According to the invention, the reliability of traffic transmission in the network and the network scheduling performance can be effectively improved.

The present invention discloses a method and system for automatic database backup based on dynamic monitoring, the method comprising: obtaining a user account and a user IP address to verify the security of data backup; obtaining data to be backed up and selecting a backup method according to the data type; initializing dynamic monitoring parameters when the backup method is offline backup; designing a rating partition backup algorithm to complete offline backup of data; calculating the data growth amount and the data growth rate, and updating the dynamic backup cycle according to the data growth amount and the data growth rate. The present invention updates the dynamic backup cycle by the data growth amount and the data growth rate, thereby improving the utilization efficiency of backup resources; verifies the security of data backup by the user account and the user IP address; and designs a rating partition backup algorithm for offline backup to further improve backup efficiency.

This invention provides a CPU power-down delay monitoring circuit, including a power supply unit, an energy storage capacitor, a sampling unit, and a control unit. The power supply unit supplies power to the control unit, the sampling unit, and the control unit, and charges the energy storage capacitor. The energy storage capacitor stores electrical energy and provides backup power to the control unit and the sampling unit when the power supply unit fails. The sampling unit collects voltage data from the energy storage capacitor and transmits it to the control unit. The control unit evaluates the state of the energy storage capacitor based on the data collected by the sampling unit, and uses the electrical energy provided by the energy storage capacitor to complete data saving and control the AGV system to perform a safe shutdown operation when power fails. By monitoring the voltage data of the energy storage capacitor in real time through the sampling unit, the system can intelligently prioritize data saving and perform safe shutdown operations of the AGV based on the actual condition of the capacitor when the power supply suddenly fails, solving the problems of data loss and equipment safety hazards caused by capacitor aging or failure in traditional power-down protection systems.

A STEP-NC online interpretation method for a processing robot, opening a STEP-NC file and performing text processing, checking basic syntax, and storing the file in an internal data format in units of lines; establishing a tree data structure according to the relationship between the internal entities of the file, and obtaining a complete mapping of STEP-NC data on the internal data; traversing the established data structure in a numbered order, and establishing a coordinate transformation matrix between a robot coordinate system, a clamping coordinate system, and a workpiece coordinate system; searching an executable structure entity list, and generating a tool motion trajectory in a feature coordinate system according to the order of the executable structure entities in the list and transforming it into a tool trajectory in a robot coordinate system; and finally outputting the processing robot motion trajectory according to the type of processing robot controller. The present invention reduces the workload of information conversion and programming during the working process of the processing robot, and effectively solves the problems of low work efficiency, inconvenient operation, and poor adaptability of STEP-NC file interpretation of the processing robot.

The invention provides an efficient video streaming server implementation method based on edge computing and related equipment, and relates to the technical field of data processing. The method comprises the following steps: acquiring heartbeat packets of edge servers according to a set interval to monitor connection, after determining an associated server, extracting video stream key feature information of the associated server, determining each feature weight coefficient based on a preset weight correspondence table, and further obtaining a video data stream importance score, meanwhile, edge server operation state information is obtained and input into the adaptation degree model to obtain adaptation degree numerical values, the adaptation degree numerical values are sorted, finally, according to the importance score and adaptation degree numerical value sorting, the video data stream with the highest importance score is distributed to the edge server with the highest adaptation degree numerical value to be processed. In this way, important video streams can be processed by the most adaptive server, the overall video stream processing efficiency and quality are improved, resource utilization is optimized, and the system stability and reliability are enhanced.

The invention discloses an observation and diagnosis system for a database, and relates to the technical field of databases, the observation and diagnosis system comprises a flow monitoring module, a flow dispersion module, a debugging module and an emergency module, the flow dispersion module is connected with the flow monitoring module through signal transmission, and the debugging module is connected with the flow monitoring module through baseband transmission. The emergency module is connected with the flow monitoring module through wireless transmission, and a monitoring tool, a log analysis tool and a network data packet analysis tool are arranged in the flow monitoring module. By designing the flow monitoring module, the function of monitoring the data volume is achieved, the problems that hardware resource bottlenecks are not found in time, internal resources of a database are unreasonably used and hidden hardware faults are not easy to find are solved, the change of the data volume can be found in time, performance reduction caused by too large data volume is avoided, and the service life of the database is prolonged. The security index of the database is improved, and the resource utilization rate is improved.

This invention provides a method and system for statistical analysis of photovoltaic power plant operation data. The method includes: dividing the photovoltaic modules into several clusters based on their installation area and series-parallel topology to identify the common data characteristics of each cluster; simultaneously performing hierarchical filtering on the raw data uploaded from each cluster to generate corresponding ordered data subsets; constructing a corresponding data statistics window and simultaneously constructing a corresponding terminal data association matrix; outputting preliminary statistical results based on the data statistics window; simultaneously performing reverse deduction based on the terminal data association matrix according to the operating physical mechanism of the photovoltaic power plant to generate a corresponding deduced data sequence; calculating the degree of fit between the preliminary statistical results and the deduced data sequence; and simultaneously integrating the preliminary statistical results into a corresponding target statistical report when the degree of fit meets preset requirements. This invention can accurately statistically analyze various types of data, thereby improving statistical efficiency.