61 results about "Real-time database" patented technology

The invention relates to the technical field of computer graphic processing, and discloses a method for automatically drawing a DCS (Distributed Control System) picture into a real-time database picture, which comprises the following steps of: firstly, identifying a DCS source file format, directly analyzing a public text format or intercepting a bottom layer rendering instruction for a private binary format, and extracting standardized discrete data; constructing an intermediate vector model, and performing coordinate normalization and curve smoothing processing on the static primitives by using an affine transformation matrix; meanwhile, syntactic analysis is conducted on the control script to construct an abstract syntax tree, and dynamic logic is converted; then recombining a composite object based on spatial semantics, and repairing pipeline topology connection by utilizing automatic adsorption and an orthogonal routing algorithm; and finally, calling a target system interface to complete object instantiation and persistent storage. According to the invention, the automatic high-fidelity migration of the DCS picture to the real-time database is realized, the labor cost is reduced, and the consistency and accuracy of the monitoring picture are ensured.

The application provides a power common information model-based sharding parallel maintenance method and device and electronic equipment. The method comprises the following steps: dividing a power common information model into multiple shards according to a maintenance range division and a hierarchical relationship of the power common information model, each shard containing a complete hierarchical structure of the power common information model; generating an offline maintenance copy corresponding to each shard from a real-time database storing the power common information model according to the divided shards, the offline maintenance copy containing data of a model object in the power common information model; performing an add, delete, modify and query operation on the offline maintenance copy corresponding to each shard, and publishing the maintained shard offline maintenance copy to the real-time database.

The application provides a smart environmental protection large model desulfurization scene identification interaction method, system, medium and product, which comprises the following steps: firstly, the desulfurization role scene is matched through multi-modal instructions, and a graphical sand table and a global conversation state are initialized; after a diagnosis report generation instruction is received, multi-dimensional operation parameters of equipment associated with a role ID and a space-time context are obtained from a real-time database; a diagnosis result is obtained through analysis of a diagnosis large model and is mapped to a corresponding equipment graph element of the sand table; fault keywords are extracted to match a three-level differentiated solution scheme of quick solution, medium-term optimization and long-term upgrade; in response to a target scheme selection instruction, a quantitative evaluation result is generated through an efficiency estimation model combined with real-time working condition data, and finally, the result is visually presented to an interaction terminal. The whole process realizes a closed-loop intelligent interaction from intention recognition to decision support, and improves operation and maintenance efficiency and precision.

The invention discloses a security test method and device for an industrial real-time database and a storage medium, and relates to the technical field of industrial internet. The method comprises the following steps: based on a three-security partition architecture, realizing security test on the industrial real-time database by verifying the transmission security of each interval. The logic isolation test between the first security zone and the second security zone emphatically checks access control strategies, industrial protocol transmission integrity and abnormal traffic filtering. The physical isolation test between the first security area or the second security area and the third security area comprises the steps of verifying one-way transmission and data integrity of the forward isolation device and verifying formats and security policies by the reverse isolation device. The cross-three-zone linkage transmission test covers end-to-end data transmission security verification, a simulation attack penetration test from a third security zone to a first security zone, and an emergency mechanism test under an isolation device fault. According to the method, the safety of the industrial real-time database can be improved through a three-partition testing method.

The application discloses a kind of based on deep reinforcement learning's atmospheric and vacuum distillation unit intelligent optimization method and system, it is related to oil refining chemical industry, including, from the distributed control unit of atmospheric and vacuum distillation unit and real-time database collection historical operation data, and pre-processing, obtain the historical data set after pre-processing;Using the historical data set after pre-processing, process mechanism characteristic network is constructed by graph neural network, the correlation between equipment components is mined and abstract feature representing process principle is extracted, and digital twin environment is constructed;In digital twin environment, meta-reinforcement learning algorithm is used to train deep reinforcement learning agent, so that deep reinforcement learning agent obtains meta-strategy suitable for different crude oil properties.The application realizes safe, smooth, efficient intelligent optimization control through safety mirror image drill and trust degree driven closed-loop operation mechanism, solves the optimization response lag problem caused by manual adjustment model due to the change of traditional optimization technology crude oil property.

Embodiments of the present disclosure provide a data updating method, medium, device and computing device. The method comprises: obtaining authorization information from a message queue, the authorization information comprising change information of authorization data; obtaining first target authorization data from a real-time database; extracting authorization data calculation logic from the authorization information; updating the first target authorization data by using the authorization data calculation logic, and storing the updated first target authorization data to the real-time database. According to the above scheme, the authorization information is obtained in real time through the message queue, and the authorization data in the database is updated, so that the data is updated in real time.

The application discloses a kind of ship painting workshop field environment monitoring systems, including field detection unit, control center and data acquisition network, field detection unit is installed in the integrated monitoring point of ship painting workshop field, for measuring the environmental parameter of integrated monitoring point;Control center is connected with field detection unit by data acquisition network, receives the data collected by field detection unit;The control center at least includes real-time database and and software management system, and software management system includes eight functional modules of system management module, real-time display module, prediction analysis module, alarm management module, interface module, report management, basic data management and green evaluation system etc..The application precisely monitors and traces the environmental quality of painting workshop, realizes targeted management;It can also carry out multi-dimensional analysis on monitoring data, provide decision support for environmental pollution prevention and control, and enhance the rapid response and disposal capacity of environmental emergencies.

The application discloses a kind of real-time database monitoring methods based on ordered queue, including according to system design throughput and machine configuration, set initial parameter respectively set working thread and distribution thread number and memory capacity alarm threshold, according to the number of working thread adjustment shunt storage queue number ensure that thread queue number match, management node starts, start receiving heartbeat request, and according to preset hash algorithm is shunted storage, new received heartbeat request is stored in ordered double linked list queue head, then according to host IP information to hash table inquires whether heartbeat record exists, if the new received heartbeat record does not exist, for new online client, client information is stored to hash table then triggers new online event and persists to client database table write-in process ends.The application solves the problem that a large amount of data heartbeat information detection detection complexity rises exponentially with data volume rising by hash and double linked list structure.

Techniques for data management are described. A file may be saved that includes a representation of an exported database, where the representation may be based on a live database being exported from a computing system via an export operation that spans a time period. A determination that one or more transactions were committed to the live database during the time period may be made. Based on the determination, a log indicating the one or more transactions may be obtained from the computing system. Based on the log, a determination of whether the exported database captured the one or more transactions may be made. Based on the determination, the file may be updated to represent an updated database that reflects an updated version of the live database, the updated version of the live database reflection application of the one or more transactions to the exported database.

The invention discloses a real-time data comparison polymer film quality inspection system, which relates to the technical field of film quality inspection, and comprises a first detection module, a second detection module, a third detection module and a surface defect final inspection module, the four detection modules are sequentially arranged along a conveying path of a polymer film production line and are respectively connected with the central processing unit through shielded twisted pairs, and the central processing unit receives film related data acquired by the four detection modules and processes and analyzes the data through a built-in comparison algorithm. The central processing unit is in signal connection with the real-time database server, the alarm execution module and the visualization module. According to the invention, by installing the four detection modules with complementary functions, the function of multi-dimensional comprehensive detection is realized, synchronous online detection of four key quality indexes of film thickness, components, light transmission and surface defects is realized, the coverage is comprehensive, and a data basis is provided for subsequent data comparison and process adjustment.

The invention belongs to the technical field of electric signal data processing, and discloses a data automatic synchronization method and system for an active-active architecture real-time database, and the method comprises the steps: after a real-time database service is started, one end of a main database is responsible for processing a time sequence data write-in request of a client, and after the main database receives data, the main database is responsible for processing a time sequence data write-in request of the client; writing the data into a synchronous data queue, and writing the data into storage; when data exists in the synchronous data queue, writing the data into a synchronous cache file, and preparing to send the data to a slave library for synchronization; comparing the metadata information of the master library with the metadata information of the slave library, querying whether the metadata versions are consistent or not, and when the metadata are not synchronized, pausing data synchronization and performing metadata synchronization; under the metadata synchronization condition, the data synchronization process continues; and after receiving the synchronous data, the slave library writes the synchronous data. According to the method, the data synchronization rate of the two ends of the real-time database of the active-active architecture is improved, and the complete consistency and high availability of the data are ensured.

The application discloses a kind of whole process state analysis methods of grounding resistor, comprising the following steps: S1.grounding resistor state acquisition device collects the real-time running condition data of grounding resistor, and the real-time running condition data is transmitted to embedded processor;S2.embedded processor stores and processes the real-time running condition data of grounding resistor, and the real-time running condition data of grounding resistor is uploaded to station end server;S3.cloud server carries out offline analysis and test to the state of grounding resistor, obtains the state transition data of grounding resistor, and updates offline database;S4.according to the real-time running condition data of grounding resistor and state transition data, the state of grounding resistor is analyzed in real time by station end server, and real-time database is updated.Temperature evaluation is used for early warning of abnormal state, resistance value evaluation is used to determine whether the current state of resistor is stable, energy loss is used to determine the service life of resistor, to improve the safe and stable operation of distribution network.

The invention relates to the field of nuclear power plant competition simulators, in particular to a DCS (distributed control system) of a full-range competition simulator, which comprises a process system layer, a logic control layer and a human-computer interface monitoring layer, and is characterized in that the process system layer constructs a process model through a library file, and the process model is used for simulating field equipment; the logic control layer constructs a real-time database with control logic, transmits data of the real-time database to the process model, simulates the control logic of the process model, periodically executes control operation, and controls and monitors the process model; the human-computer interface monitoring layer simulates non-safety-level DCS functions of a master control room and a remote shutdown room of the DCS system of the nuclear power station and safety-level visual display equipment of the master control room. According to the system, a software architecture based on CORBA is adopted, display of relevant knowledge needed by actual nuclear power network architecture and software and hardware maintenance is achieved, and the training and examination effect on nuclear power plant operation personnel and nuclear power plant debugging and operation and maintenance personnel can be achieved.

The invention discloses a real-time data fault hour processing method based on an interpolation algorithm. The method comprises the following steps: step 1, pre-configuring an attribute set for each data acquisition point in a real-time database; 2, collecting real-time data of the data collection points in the step 1, and judging whether the current data is a fault time value or not based on a preset rule; step 3, selecting an interpolation algorithm for the fault time value based on a multi-level decision mechanism when the fault time value is judged to be the fault time value; step 4, according to the selected interpolation algorithm, calculating a correction value by using the effective historical data; step 5, carrying out rationality verification on the correction value calculated in the step 4, and updating and outputting the quality code after the verification is passed; 6, the original fault time value and the correction value are stored in an associated mode, according to the method, the data are classified carefully, an appropriate interpolation algorithm is selected according to different data types and data conditions before the fault, the fault time value can be processed more accurately, and the precision of the interpolation result is improved.

The invention discloses a self-adaptive index recommendation method based on deep reinforcement learning, which comprises the following steps of: S1, compressing workload data to generate a representative query subset; s2, performing feature extraction on the compressed query subset, generating a feature vector, training the feature vector through a deep neural network, and generating feature representation capable of reflecting data features; s3, according to the feature representation, constructing a deep reinforcement learning model containing an online network and a target network, and generating an optimal index subset; and S4, deploying the trained model to a real database, and dynamically adjusting index configuration according to a real-time database state and a query load. According to the method, the optimal index scheme can be intelligently recommended, and the database query efficiency and response speed are effectively improved.

This invention discloses a fast query method and system for real-time database filtering expressions, belonging to the field of industrial real-time data query technology. The method parses the original filtering expression into atomic predicates and generates unique sub-condition identifiers, creates corresponding Boolean derived test points and establishes mapping relationships. During the data writing stage, the atomic predicates of each piece of real-time data are determined in real time, and the Boolean results are written to the derived test points. This fundamentally solves the problems in existing technologies where different queries share the same sub-conditions but require repeated calculations each time, and the cost increases linearly with the data volume due to the query side calculating massive amounts of original data line by line. Furthermore, the atomic predicates in the original expression are replaced with corresponding Boolean derived test points to generate a rewritten expression, and set logic operations are directly performed on the pre-stored Boolean results in each derived test point to obtain the final query result, thereby transforming the complex comparison calculations on the query side into efficient set operations.

The invention discloses a steel pipe production process material tracing system and method. The system comprises a longitudinal submerged arc welded pipe production line logistics tracking mechanism. A steel plate jet printing system and a steel pipe jet printing system of an automatic jet printing system of the tracking mechanism are used for jet printing of steel plate numbers and steel pipe numbers correspondingly. The automatic identification system automatically acquires plate number / pipe number images of the steel plates / steel pipes by using industrial cameras arranged beside each process, performs positioning and identification on plate number / pipe number information in an acquired video stream through an image processing algorithm, and uploads the identified plate number / pipe number to an MES and SCADA database; the communication network uses an optical fiber ring network to provide nearby access for the mark spraying equipment, the industrial camera and the edge computing unit, a camera triggering sensor is arranged, and steel plate / steel pipe in-place triggering recognition is achieved. The system has the beneficial effects that the automatic identification of plate numbers / pipe numbers is realized through the automatic identification system, and the plate numbers / pipe numbers are transmitted to the SCADA real-time database and the MES relational database, so that the digital control of the steel pipe production process is realized.

The invention discloses a logging-while-drilling real-time data marking method and related equipment, which can immediately monitor and analyze key parameters in a drilling process by acquiring and processing a data packet in real time, ensure immediate mastering of a drilling state, contribute to quickly responding to abnormal conditions in the drilling process and improve the drilling quality. The data packet verification and decoding process ensures that only verified accurate data is used for subsequent analysis and decision making, the drilling working condition can be judged more accurately based on key parameters such as decoded vertical pressure data, hook height and drill bit depth, and the drilling efficiency is improved by real-time analysis and data marking of the drilling working condition. A drilling engineer can quickly adjust drilling parameters and strategies, and meanwhile, a real-time database and a data storage table are established, so that all data in the drilling process are completely recorded, and subsequent data tracing, analysis and research are facilitated.

The invention discloses a linkage management system of a rail transit intelligent operation control system and a linkage execution method. The linkage management system comprises a linkage list module which is used for defining a linkage scene and constructing corresponding linkage list tables for a relational database and a real-time database respectively, and the linkage list tables comprise linkage name fields, linkage execution mode fields and linkage triggering mode fields; the linkage action module is used for configuring linkage actions and respectively constructing corresponding linkage action tables for the relational database and the real-time database, and the linkage action tables comprise linkage names and action coding fields; the linkage subsystem action module is used for creating a linkage subsystem action table associated with the action coding field; when linkage is triggered, the rail transit intelligent operation control system generates corresponding subsystem commands for the linkage scene based on the linkage subsystem action table, and all subsystems execute linkage actions based on the corresponding subsystem commands. According to the invention, the cooperation efficiency among the subsystems is enhanced, and the labor cost is saved.

The invention provides an intelligent speed regulation method and system for a fully mechanized coal mining face of a coal mine and electronic equipment, and the method comprises the following steps: carrying out the real-time collection of multi-source data, collecting the operation data of a coal mining machine, a scraper conveyor and a belt conveyor, and constructing a real-time database; in the analysis decision-making stage, according to a preset decision-making strategy, an equipment operation threshold value, historical data and current working condition comprehensive analysis, whether the operation state of each piece of equipment is normal or not is evaluated, and whether adjustment is needed or not is judged; correspondingly adjusting the operation data of the coal mining machine, the scraper conveyor and the belt conveyor; in the feedback adjustment stage, the new operation data of each device is collected in real time to judge whether an expected target is reached or not and whether an adjustment strategy is needed or not. The method has the advantages that feedforward-feedback cooperative control is realized on the basis of multi-source data fusion perception, the three-machine speed is dynamically adjusted in a linkage manner, and finally, each device always runs in a reasonable state.

The invention provides a boron neutron capture therapy target control system based on an EPICS architecture. The boron neutron capture therapy target control system comprises an equipment control level, an input and output controller IOC and an operator interface OPI which are connected in sequence. The equipment control level is used for monitoring and controlling physical equipment of the target system through a programmable logic controller (PLC); the input and output controller IOC is used for running a distributed real-time database and an equipment driving program so as to perform data exchange and communication between the equipment control level and the operator interface OPI; and the operator interface OPI is used for providing a graphical interface so as to display real-time data, state and alarm information of the system, and receiving an operation instruction. The purposes of high integration level and good real-time performance are achieved.

The invention discloses a distributed real-time database high availability method, system and device of a new energy centralized control station system and a storage medium. Based on a distributed architecture, a real-time data writing strategy, a real-time data reading strategy of the distributed architecture, a high-availability strategy after host exit of the distributed architecture and a high-availability strategy after host recovery of the distributed architecture are constructed, and respective storage nodes and hot standby nodes are created for a plurality of hosts to form a complete real-time library. According to the method, the acquisition, storage and reading of the large-capacity real-time database of the new energy centralized control station system are realized by utilizing load balancing, consistent hash, node heartbeat monitoring and failover, the high availability of real-time data is realized, and the reliability of the whole monitoring system is improved.

The application relates to a real-time database storage space control management method, which comprises the following steps: establishing an ordered table, increasing a record operation, deleting a record operation and the like. The real-time database storage space control management method can effectively realize control of the real-time database storage space, can quickly delete early data when the number of records reaches the maximum number, and can keep the real-time database storage space at a stable value.

This invention provides a virtual simulation system for the melt spinning screw extrusion process. The system includes: an animation module: setting parameters for a 3D model to create 3D dynamic virtual objects of the equipment components in the melt spinning screw extrusion process, resulting in a 3D model of the melt spinning screw extrusion process; a back-end data module: establishing mathematical models of the partially filled area, fully filled area, and coupling interface of the melt spinning screw extrusion process, obtaining process indicators from the mathematical model, storing them in a real-time database, and transmitting them to a data table in the front-end interactive module; and a front-end interactive module: inputting input parameters; displaying the process indicators of the mathematical model through the data table; inputting 3D model setting parameters; and presenting a 3D animation of the melt spinning screw extrusion 3D model. The solution proposed in this invention comprehensively showcases the operation of the melt spinning screw extrusion process from a 3D dynamic perspective, allowing operators and trainees to experience the realistic environment of melt spinning screw extrusion firsthand.

This invention relates to the field of intelligent manufacturing technology and discloses an artificial intelligence-based intelligent manufacturing production line collaborative control system, including a multi-source data sensing module, a digital twin virtual-real mapping module, a multi-agent collaborative decision-making module, and a human-machine interaction module. The multi-source data sensing module collects and preprocesses multi-source heterogeneous data across the entire production line, constructing a real-time database. The digital twin virtual-real mapping module builds a 1:1 high-precision digital twin model of the production line based on real-time data, enabling bidirectional real-time data interaction between the virtual and real worlds. It also determines the disturbance level of the production line by calculating multi-dimensional disturbance coefficients and introducing a time decay function to accumulate the effective disturbance influence coefficient. The multi-agent collaborative decision-making module matches and executes hierarchical collaborative control strategies according to the disturbance level, generating a comprehensive collaborative control scheme. This achieves accurate quantification and hierarchical collaborative response to production disturbances, significantly improving the adaptive capability and operational stability of the intelligent manufacturing production line.

The application discloses a kind of multi-scene application real-time database data synchronization method, it is related to data synchronization technical field, the method of the present application includes the following steps: data change acquisition, data change comparison, data synchronization selection, data synchronization;According to the change information and historical change information of each target database corresponding to each to-be-synchronized data set in the current time point, the source database corresponding to each to-be-synchronized data set is analyzed, and the synchronization mode of each to-be-synchronized data set in each to-be-synchronized database is analyzed, and then the synchronization of data set is carried out, the priority of data synchronization is realized Multi-dimensional setting, effectively guarantee the consistency and reliability of data during synchronization, guarantee the security and integrity of data during synchronization process, also effectively guarantee the smoothness and fluency of database operation, greatly improve the user's use experience.

The invention belongs to the technical field of electric signal data processing, and discloses a time sequence data processing method and system based on a measuring point timestamp, and the method comprises the steps: obtaining time sequence data, and preparing for storage, including data values, data quality and timestamps; determining the timestamp storage type of the to-be-stored data according to the timestamp precision set by the measuring point; and compressing the warehousing data according to a time sequence, and sequentially writing into archiving files for archiving. Analyzing the calculation equation to obtain a measurement point set participating in calculation; if the time stamp precision of the measurement points of the set is calculated to be one, directly comparing time values; if the precision of the timestamps of the set measuring points is calculated to be various, uniformly converting the data structure of the timestamps into variable timestamps, and comparing time values through the variable timestamps; and performing calculation through an equation according to a calculation triggering condition, and writing a result measuring point. According to the method, efficient data storage of multi-precision timestamps of a real-time database and mixed calculation of different timestamp precision measuring points are realized.

The invention discloses a real-time data fault hour processing method based on an intelligent prediction algorithm. The method comprises the steps of real-time database modeling and acquisition point attribute configuration; real-time data acquisition and preprocessing; performing conventional processing on normal data; processing the fault time value through an intelligent prediction algorithm to obtain a correction value; updating the query mechanism after replacing the correction value; and dynamically optimizing the prediction model. According to the real-time data fault hour processing method based on the intelligent prediction algorithm, the prediction precision of fault hour correction is remarkably improved through a double-layer prediction architecture in which a first-order autoregression moving average model and a second-order long and short-term memory network are combined with an attention mechanism. The first-order model provides basic correction reference for the fault time value and effectively captures the linear change rule of the data, the second-order model further mines the long-term dependency relationship of the data on the basis and focuses on the key time step characteristics, the correction value is closer to the real data through the synergistic effect of the first-order model and the second-order model, and the influence of the fault time value on the data quality is greatly reduced.

The invention provides an anti-burning control system for a permanent magnet synchronous motor, belongs to the technical field of computer data processing, and is used for monitoring various data of the permanent magnet synchronous motor, acquiring real-time operation data of the permanent magnet synchronous motor and establishing a real-time database based on the real-time data. Generating a dynamic security threshold based on the historical operation data in the real-time database; and comparing the comprehensive abnormal index with a dynamic safety threshold value, and performing control operation on the permanent magnet synchronous motor based on a comparison result. According to the method, a corresponding permanent magnet motor self-adaptive safety threshold value can be generated according to real-time operation data and historical behavior modes of the motor through data processing of a construction set, so that the limitation of a traditional fixed threshold value in the face of complex and changeable working conditions is overcome, the fault recognition accuracy is remarkably improved, and the fault recognition efficiency is improved. False report and missing report caused by improper threshold values are effectively avoided, and meanwhile, independent current, rotating speed and temperature data are fused into a comprehensive index.