570 results about "Synchronization system" patented technology

The invention discloses a multi-source heterogeneous data synchronization system, and relates to the field of computer information management application. The system fuses key technologies such as flow dynamic regulation and control, self-adaptive load balancing and intelligent semantic mapping. Through a real-time network state monitoring and self-adaptive flow regulation and control algorithm, the data transmission rate is dynamically adjusted according to the server resource utilization rate, the data priority and the network bandwidth, data backlog and system overload are avoided, and the robustness and the real-time performance of a synchronization task are remarkably improved. The intelligent field mapping engine is based on semantic analysis, word vector representation and a machine learning model, automatically recognizes field semantic consistency of heterogeneous data sources, generates an optimal mapping rule and dynamically optimizes a mapping result, the manual configuration cost is reduced, and the mapping accuracy rate reaches 98% or above. The system has high expandability and self-learning ability, is suitable for a large-scale multi-source heterogeneous data integration scene, and provides an efficient, intelligent and self-adaptive full-stack solution for a data synchronization task.

The invention relates to the technical field of unit detection, in particular to a unit magnetic variable on-line monitoring method and system, and the method comprises the steps: carrying out the multi-source data collection through a sensor, carrying out the correction of the multi-source data through a multi-dimensional calibration mechanism, synchronizing a timestamp through a dual-synchronization system, and carrying out the frequency-band-divided conditioning and standardization processing; environmental noise in the standardized multi-source data is eliminated through an intelligent algorithm, feature vectors are extracted, and purified feature vectors are obtained; screening effective abnormal features through an isolation forest algorithm; and inputting the effective abnormal features into an LSTM prediction model to obtain a corrected prediction value, substituting the corrected prediction value into a logistic regression formula to obtain a fault prediction probability of fault occurrence, calculating a health degree score, and performing graded early warning according to the health degree score. According to the scheme, through multi-dimensional calibration, working condition adaptive feature extraction and graded early warning, the unit monitoring data precision, the fault feature recognition accuracy and the operation and maintenance decision efficiency are improved.

An apparatus and system are described for reducing user equipment (UE) power consumption after a 5th generation NodeB (gNB) indicates transition to a power saving mode. Different configurations and rules for the UE to identify and use monitoring or transmission occasions within the PSM active time, as well as modification of UE timers during the PSM, are provided. Discontinuous transmission (DTX) and reception (DRX) configurations are signaled to the UE and contain periodicity, start slot / offset, and on duration, as well as activation of the configurations by downlink control information (DCI). UE reporting and paging based on the configurations are provided when light synchronization system block (SSB) transmission or discovery reference signal transmission is used by the gNB.

The invention relates to the technical field of audio playing optimization, and discloses a low-delay multi-room audio playing optimization method and system, a storage medium and equipment, and the method comprises the steps: building a global time synchronization system based on a precision clock protocol in a playing equipment cluster, and enabling all playing equipment to operate based on a unified time reference; monitoring network state parameters in real time, dynamically calculating and adjusting the audio buffer depth of each playing device based on the monitored network quality, and obtaining audio data in advance according to the playing progress and the network state; generating a global playing timestamp according to the global time synchronization system, and controlling all playing devices to perform synchronous starting and progress control of audio playing based on the global playing timestamp; a transmission strategy of audio data is dynamically optimized based on real-time network state parameters, packet loss recovery and bandwidth adaptation are achieved, sub-millisecond multi-room audio synchronous playing is achieved, and meanwhile performance parameters can be automatically optimized according to different network environments and hardware configurations.

A low-delay multi-protocol intelligent lighting synchronization system based on a unified abstraction layer comprises the steps that an instruction from a multi-protocol bridging module is received, and network round-trip time data of terminal equipment is acquired through an active detection mechanism; based on the network round-trip time data, adopting a Kalman filtering algorithm to construct a delay prediction model so as to predict the future network delay of the terminal equipment; inputting the instruction into a third-stage buffer area for processing, and dynamically adjusting the trigger frequency of the active detection mechanism according to the load state of the third-stage annular buffer area; calculating queue delay of the buffer area according to the received load state of the buffer area, and obtaining final sending time of the instruction in combination with future network delay of the terminal equipment; and at the final sending time, sending the instruction from the sending buffer area to the corresponding terminal equipment. According to the system, low-delay and high-stability synchronization of cross-protocol equipment in the field of intelligent illumination is realized.

The invention discloses a white list state synchronous processing method and system combined with database transaction control, and relates to the technical field of database transaction control and data synchronous processing. The method comprises the following steps: recording a white list state change event based on a pre-writing mechanism of a database transaction log; change events in a transaction log are classified and aggregated according to a white list and then are asynchronously written into a specified buffer area, when a transaction is submitted, the sequence of data in the buffer area is controlled through a lightweight lock mechanism to be refreshed to a physical disk, and the priority of a disk IO queue is dynamically adjusted according to the transaction isolation level to reduce concurrent conflicts; according to the white list state synchronization processing method and system combined with database transaction control, the transaction concurrent processing performance and the database response efficiency are remarkably improved, and the expansion capability and stability of the white list synchronization system in a complex business environment are also improved.

The invention provides an arbitrary waveform generator multi-chip DAC synchronization system, a delay adjustment module comprises an FPGA chip, an integrated clock management chip and a plurality of DAC chips, and the FPGA chip provides digital signals needing to be converted into analog waveforms for the DAC chips and sends parameter configuration signals to the integrated clock management chip and the DAC chips; the integrated clock management chip generates a reference clock, generates a sampling clock based on the reference clock, distributes the sampling clock to the DAC chip and the FPGA chip, and distributes a synchronization signal to the DAC chip; the multiple DAC chips are all configured to be slave chips to form multiple paths of arbitrary waveform generator output channels, digital signals are synchronously converted into analog signals, the analog signals are processed by a conditioning circuit and then output, the circuit structure of the system is remarkably simplified, synchronization of the multiple DAC chips can be achieved only through one integrated clock management chip, and the system is simple in structure, convenient to use and high in practicability. In addition, delay adjustment between DAC chips can be flexibly achieved, calibration or alignment of circuits and devices is not needed, and good application effects are achieved.

The invention discloses a multi-lens picture automatic splicing fusion processing method in video communication, which belongs to the technical field of multimedia communication, and comprises an acquisition module for synchronously acquiring video images of different visual angles through a plurality of cameras, and an analysis module for identifying overlapping areas and key feature points in each path of video, carrying out image matching, and sending the images to the video communication module. The fusion module is used for splicing and fusing the multiple paths of videos according to the image matching result to generate a panoramic picture, and the output module is used for outputting the spliced and fused panoramic picture to terminal equipment in real time. According to the invention, through a frame-level synchronization system with a unified time reference and standardized video parameter configuration, time sequence deviation and chromatic aberration distortion of multiple paths of videos are eliminated, the feature matching reliability in a complex scene is remarkably improved, the positioning precision of an overlapping region is ensured, splicing traces can be efficiently eliminated, and meanwhile, processing delay is reduced; and intelligent adaptation of the panoramic content on different terminal devices can be realized, and the degree of freedom of user control is improved.

The invention discloses a multi-mode perception collaboration and real-time synchronization system, which breaks through the limitation of vision / hearing in the prior art, covers vision, hearing, smell and movement, and realizes more accurate cooperation through a perception layer, a control layer and an execution layer. According to the invention, an immersive experience space full of shock and reality can be created, synchronous output of visual, auditory, tactile and olfactory signals is realized by means of high-precision equipment, and a series of cross-sensory signal superposition schemes are designed on the basis of response characteristics of human physiology and psychology to various sensory stimuli. Therefore, the overall perception of the experiencer to the space atmosphere is enhanced. Meanwhile, through weight distribution and conflict resolution, the system can flexibly adjust the sensing mode according to the environment and the user state. The multi-device cooperation error can be controlled at millisecond level and millimeter level, and the natural fusion of virtuality and reality is realized.

The invention discloses a power grid material vehicle path planning method, and provides a space-time hierarchical modeling and cloud edge collaborative optimization architecture aiming at the problems of dynamic embargo, channel capacity fluctuation, multi-resource conflict, response lag and the like faced by power grid material dispatching in the prior art. By constructing a space-time coupled channel capacity-path planning hierarchical model, multi-commodity network flow pre-calculation and real-time vehicle path dynamic decoupling are carried out, and material distribution is optimized in combination with a space-time double-coding genetic algorithm; a multi-agent deep game decision-making mechanism is designed, channel priorities of different types of materials are dynamically balanced through reinforcement learning, and distributed conflict resolution is achieved; a block chain-based cross-domain scheduling instruction synchronization system is developed, low-delay path re-planning is realized by adopting a differential updating mechanism, and second-level updating of a scheduling scheme under an emergent road condition is supported; the on-chain evidence storage technology is introduced to guarantee instruction integrity and operation tracing, and the scheduling deadlock risk is reduced in combination with a key channel competition early warning model.

The invention relates to the technical field of natural language processing, in particular to a multi-language version automatic generation and synchronization system for international trade documents. Comprising a document processing unit, an intelligent translation unit, a version synchronization unit and a collaborative review unit. A term library is updated in real time, the multiplexing value of a translation memory library is optimized, an advanced deep learning mechanism and strict quality control are applied, high-quality translation results closely following industry dynamics are output, meanwhile, a version synchronization unit saves resources by means of monitoring source document changes in real time and incremental translation, and updating records are safely stored by means of the block chain technology; automatic generation and real-time synchronization of the multi-language document are achieved, the document quality, safety and compliance are guaranteed, and the accuracy, efficiency and collaboration of international trade document processing are improved.

A coordinated optimization method for VSC-HVDC Frequency Synchronization Control and primary frequency regulation of hydropower includes: obtaining optimal PI parameters of the VSC-HVDC Frequency Synchronization controller from a first layer output of a dual-layer optimization model for coordinated parameters of VSC-HVDC Frequency Synchronization and primary frequency regulation; and obtaining a target PID control parameters from a second layer output of the dual-layer optimization model. The coordinated optimization method further includes adjusting the optimal PI parameters of the synchronization controller based on the target selection range and updating the PID control parameters of the primary frequency regulation system of hydropower based on the target PID control parameters. This approach aims to address the challenge of balancing the frequency response speed between the VSC-HVDC synchronization system and the primary frequency regulation system of hydropower.

The invention discloses an architecture system and method for large-scale task allocation, and belongs to the field of spaceflight measurement and control, and the system comprises a large-scale hardware device which is used for deploying processing units with different performances and various heterogeneous physical communication link resources; the hardware resource dynamic modeling and visualization framework is used for realizing a dynamic modeling system based on multi-source heterogeneous hardware topology perception; the resource topology awareness database captures and synchronizes system deployment changes by maintaining the dynamic topological relation of hardware resources, presents the life cycle state of the hardware resources, and supports system-level resource situation visualization and decision making; a versioning management engine of component arrangement is applied, a multi-version executable unit is packaged based on an atomization component, and an application instance is completed through a combined modeling component; and deploying a scheduling decision system for deploying a scheduling decision. The method can adapt to task deployment requirements of a current large-scale spaceflight measurement and control system.

The invention discloses an urban trunk network-oriented reconfigurable quantum communication route synchronization system, which relates to the technical field of quantum communication and comprises a quantum channel state sensing module, a clock offset prediction and registration module, a reconfigurable route planning engine, an entangled state registration and regulation module, a synchronization instruction scheduling module and an optimization module. According to the system, de-coherence time, entanglement fidelity and synchronous offset risk of a quantum link are sensed in real time, a quantum link feasibility scoring graph is generated in combination with a graph neural network, and an optimal entanglement forwarding path is output according to the quantum link feasibility scoring graph; meanwhile, the width and rhythm of a transmission window are dynamically adjusted based on task priorities and network loads, and cross-node high-precision synchronization and resource coordination are achieved; a routing and synchronization strategy can be continuously optimized by introducing a communication performance evaluation model and a feedback learning mechanism; according to the invention, the stability of the quantum communication system in a complex urban network environment is significantly improved.

The invention relates to the technical field of data synchronization, in particular to a digestive system department clinical information acquisition and synchronization system, which comprises a multi-source heterogeneous acquisition module for generating a standardized diagnosis and treatment sequence, a characteristic spectrum construction module for mapping a text and an image into vector nodes and constructing a dynamic diagnosis and treatment characteristic spectrum, the state fingerprint verification module calculates a map fingerprint Hamming distance to position a difference feature node, and the incremental collaborative synchronization module constructs an incremental data packet and sends the incremental data packet to the central server. According to the method, the multi-dimensional characteristic spectrum based on the diagnosis and treatment time sequence is constructed, discrete images and texts are converted into topological association units, heterogeneous data semantic level alignment and integrity verification are achieved, version conflicts and information faults are eliminated, meanwhile, a dynamic hash fingerprint difference comparison strategy is adopted, accurate recognition is achieved, and only substantial change nodes are transmitted; and the network load is reduced, and high real-time consistency and zero-loss circulation of whole-flow information are ensured.

The invention discloses an asynchronous electroencephalogram collection system and method based on an event triggering mechanism. An input end directly receives a multi-channel electroencephalogram signal, an event triggering sensing module, an input end connected with an output end of an event feature conditioning module, a high-precision time sequence marking module and an output end controlled by the event triggering sensing module. The enabling end of the asynchronous electroencephalogram signal collecting module is connected with the output end of the event triggering sensing module, and the input end of the asynchronous electroencephalogram signal collecting module receives multichannel electroencephalogram signals. According to the asynchronous electroencephalogram collection system and method based on the event triggering mechanism, design is conducted based on the natural asynchronous activity rule of the brain, non-forced synchronous collection is achieved, and the excitation and conduction sequence of the brain interval is reflected more truly; through the hardware-level event triggering unit, event response can be accurately captured in real time, and the system is far better than a traditional synchronization system.

The invention provides a heat supply system thermal load prediction method based on time sequence compensation and hybrid learning, and the method comprises the steps: constructing a thermal load prediction input variable screening mechanism based on two-dimensional analysis, and achieving the scientific screening of input variables through the dual verification of a Pearson's correlation coefficient matrix and a significance test; a thermal load-temperature time sequence synchronization system based on dynamic time shift compensation is innovatively designed, and the problem of time sequence dislocation caused by instability of manual experience adjustment in a central heating system is solved; an ES-LSTM collaborative prediction architecture is provided, and a three-level prediction model of'trend decomposition-random learning-dynamic weighting 'is established. According to the method, statistics significance test and thermodynamic mechanism analysis are combined in a breakthrough manner, a dynamic compensation system with a time sequence self-correction capability is innovatively researched and developed, a hybrid model collaborative prediction mechanism is constructed, and a complete technical chain from data preprocessing to prediction model architecture is formed.

Systems and methods of loopback control in multi-active database synchronization are provided. A first database instance and a second database instance are configured with two-way synchronization. A synchronization tool detects a first log change in a first operation log associated with the first database instance. The first log change includes a first operation entry associated with a first data operation on a first data record in the first database instance. The first data record includes a first synchronization tag field comprising a first source tag representing a first data source associated with the first data operation on the first data record. If the source tag contains the identification of the second database instance, the synchronization tool skips the first operation entry, without synchronizing the first data operation to the second database instance to avoid data loopback.

The invention relates to the technical field of data management, and discloses a power grid material supply chain-based data intelligent management synchronization system, which comprises a weight distribution module, a material demand prediction module, a material allocation scheme preliminary generation module, a data feedback module and a target material synchronization scheme generation module, wherein an attention coefficient matrix of a power grid material supply chain is constructed based on an attenuation weight and a dynamic weight, and weighted fusion is performed on supply data to obtain a material demand prediction result; generating a preliminary material allocation suggestion scheme of the power grid material supply chain; collecting feedback information of the power grid material supply chain after the preliminary material allocation suggestion scheme is executed, and transmitting the feedback information to the preliminary material allocation suggestion scheme; dynamically adjusting the preliminary material allocation suggestion scheme by taking resource constraints and operation priorities of nodes in a power grid material supply chain as constraint conditions to obtain a target material synchronization scheme; the efficiency based on material supply management can be improved.

The invention relates to the technical field of switching device monitoring, and discloses an intelligent monitoring method and system for a vacuum circuit breaker. The method comprises the following steps: synchronously acquiring an operation mechanism vibration signal and an arc extinguish chamber arc current signal during opening and closing; the inherent frequency band energy ratio of the opening spring is extracted through wavelet packet decomposition to serve as a mechanical degradation factor; extracting an arc fluctuation factor based on the time domain integral of the current first-order derivative; the two factors are input into a multi-physics field correlation model, a coupling vector of the contact abrasion depth and the resistance moment of the transmission mechanism is output, and according to the method, a timestamp alignment mechanism that the current rising edge of the opening coil triggers the double-channel acquisition card is used, and synchronization of a vibration signal and a current signal is achieved. The system comprises corresponding function modules and an early warning mechanism. The problem of mechanical / electrical signal time domain splitting is solved, and the state monitoring precision of the vacuum circuit breaker is remarkably improved.

The invention relates to the technical field of pipeline inspection data transmission, and discloses a task linkage control inspection track local storage synchronization system, which comprises a channel transmission blocking self-adaptive regulation and control module, a task linkage control module and a task linkage control module, the task logic segmentation and delimitation module injects a service segmentation delimiter into an original data stream to establish a logic mapping boundary; according to the method, a dynamic mapping mechanism of a channel physical state and a service logic boundary is established, so that the problem of integrity verification of data synchronization in a low-bandwidth product environment is effectively solved; and while the communication signaling overhead is reduced, the space-time consistency and the traceability of the patrol track data are ensured.

Systems, methods, and devices perform synchronization operations for video streams. Methods include receiving a video frame at a frame capture unit, the video frame being included in a stream of video data, buffering the video frame using a buffer coupled between the frame capture unit and a frame display unit, and determining an offset value based, at least in part, on a refresh rate associated with the frame capture uni. Methods further include reading, using the frame display unit, the video frame from the buffer after a designated period of time defined by the offset value.

The invention relates to the technical field of photoetching machine data transmission, and discloses an ultra-high-speed distributed data transmission synchronization system of a direct-writing photoetching machine. The system comprises a dynamic exposure pulse analysis module which constructs a distributed transmission delay calculation model based on historical operation data, collects data such as a laser trigger pulse sequence in real time and outputs a theoretical transmission synchronization value; the multi-channel time sequence offset detection module generates a node-level multi-channel time sequence offset matrix through multi-dimensional comparison of the theoretical value and the actual transmission time sequence; the spatial topology mapping module is combined with the physical position and the link impedance parameter to generate a time sequence abnormal propagation path probability distribution cloud picture so as to locate a high-delay area; and the dynamic bandwidth allocation module configures a transmission strategy according to the data, starts redundant channel parallel transmission for a high-delay area, and implements dynamic clock offset compensation for adjacent nodes, so that the synchronization stability and transmission efficiency of data transmission are effectively improved.

An audio synchronization system including a transceiver and a processor is disclosed. The transceiver may be configured to obtain inputs from a plurality of vehicles. Each vehicle may include a plurality of exterior audio systems disposed at a vehicle exterior surface. The processor may obtain inputs from the transceiver, and determine a position of each exterior audio system relative to the audio synchronization system based on the inputs. Based on the position, the processor may determine a calibration setting of one or more exterior audio systems for each vehicle based on the position, and output information associated with the calibration setting to each vehicle to cause each vehicle to synchronize one or more exterior audio systems based on the calibration setting.

The invention discloses a business data index full life cycle treatment method and system based on a knowledge graph. The method comprises the following steps: constructing a dynamic knowledge graph which takes a business index, a derivative index, a data source, a business domain and an authentication process as entities and takes a blood relationship, a dependency relationship and an approval state as edges; the approval state is mapped into a map edge attribute in real time, and map updating is automatically triggered after approval is passed; analyzing the spoken language query through a natural language processing engine and returning a visual result with an interpretation path; a streaming processing engine is adopted to complete increment synchronization of downstream derivative indexes within five seconds after the index calibers are changed; the system is composed of a graph construction module, a process synchronization module, an NLP query module, a real-time synchronization module and a privacy protection module, and can be operated on general electronic equipment or a storage medium. The method has the advantages of real-time closed loop, zero-threshold interaction and verifiable privacy protection, and is suitable for data governance scenes in the fields of finance, e-commerce and the like.

This application provides an inverter carrier synchronization system, belonging to the field of inverter control technology. The system includes multiple inverter devices connected via cascaded communication. Each inverter device includes a CPLD unit, a drive unit connected to the CPLD unit, a fault output unit, and a fault identification unit. The CPLD unit generates or forwards a carrier synchronization signal. The first contact of the relay in the fault output unit outputs a fault status signal to the next-level inverter device. The first-level inverter device acts as the master, and the fault status signal output by any normal inverter device is low. When any inverter device loses power or malfunctions, its relay disconnects, causing the output fault status signal to be high. Upon detecting the high-level fault status signal, the next-level inverter device automatically switches to become the master of the downstream inverter device. This system effectively suppresses high-frequency circulating currents in the system, improving system operating efficiency and stability.

The invention discloses an ANTLR-based SysMLv2.0 text model synchronization method, which comprises the following steps of: S1, constructing a syntactic analysis framework of a SysMLv2.0 language on the basis of the ANTLR, and generating a Leyer and a Parser for analysis; s2, analyzing the original SysMLv2.0 text, and generating an abstract syntax tree AST containing structure, behavior and constraint elements; s3, constructing a semantic model structure based on AST mapping; s4, respectively constructing an original semantic model and a target semantic model, and unifying an identifier, a namespace and a reference path format; s5, comparing semantic model structure differences to generate a difference list; s6, performing insertion, deletion or replacement operation on the original model text according to the difference type, and performing incremental synchronization; s7, deserializing the synchronized semantic model to generate a standard SysMLv2.0 modeling text; and S8, outputting the text file for loading and visual operation of the modeling tool. According to the method, a unified analysis and synchronization system is constructed, and accurate comparison and incremental updating of the SysMLv2.0 text model are realized.

The invention discloses a clock synchronization system. The clock synchronization system comprises a trigger group and a frequency divider group, the trigger group comprises N triggers, and the frequency divider group comprises N frequency dividers; the trigger group receives N paths of clock signals and one path of SYNC pulse signal, the N paths of clock signals are respectively transmitted to the N frequency dividers, and the N paths of pulse signals output by the trigger group are respectively transmitted to the N frequency dividers, N is a positive integer greater than 1, through the technical scheme of the invention, the risk of generating a metastable state can be reduced, and the power consumption can be reduced at the same time.

The invention discloses a server clock synchronization system and method based on a BMC. The system comprises a real-time clock chip, a channel switching chip, a baseboard management controller and a server host. The real-time clock chip receives and stores BMC system time written by the baseboard management controller, maintains travel time based on the time and generates an interrupt signal through the interrupt output pin. And the channel switching chip switches an access channel to the real-time clock chip between the server host and the substrate management controller according to the level signal of the control pin. And the baseboard management controller obtains the access right by outputting the level signal, writes the BMC system time and sets the alarm clock time. And the server host responds to the interrupt signal, reads the hardware time data from the real-time clock chip and updates the system time. According to the invention, after the BMC modifies the time, the time synchronization can be completed without restarting the server host, the service interruption is effectively avoided, and the availability of a server system and the real-time performance of time management are improved.

The present application relates to the technical field of autonomous driving. Disclosed are a clock synchronization system and method. In the system, a global synchronization module achieves clock synchronization of a global computing device on the basis of a clock signal of a navigation device, and sends to a local synchronization module a square wave signal including a timestamp. The local synchronization module completes, on the basis of the timestamp included in the square wave signal, the resetting for a system clock of the local synchronization module. The local synchronization module includes a plurality of local computing devices, wherein when capturing a rising-edge pulse signal, a first local computing device sends a trigger signal to a trigger-type sensor according to a set pulse width and starts timing, such that the trigger-type sensor transmits collected data to the first local computing device, and when a timing duration reaches a set threshold, the first local computing device stops sending the trigger signal; and a second local computing device uses a system clock thereof as a clock source of a non-trigger-type sensor connected thereto. The present application achieves high-precision clock synchronization without requiring gateway support.