67 results about "Synchronization algorithm" patented technology

The invention discloses a cooperative autonomous synchronous networking method for a multi-networking type energy storage converter without communication interconnection. The method comprises the following steps: S1, state perception and estimation based on local measurement: acquiring local electrical parameters in real time by using a sensor, and performing state estimation through an improved Kalman filtering algorithm and a local dynamic model; s2, a cooperation mechanism of the virtual synchronous machine and droop control: combining the virtual synchronous machine with the droop control mechanism, and realizing automatic power adjustment and cooperation work by setting a virtual inertia, a damping coefficient and a droop coefficient; s3, self-adaptive synchronization algorithm: based on the local state estimation and the output of the virtual synchronous machine, adjusting the phase and frequency of the output voltage, and dynamically adjusting synchronization parameters according to the state of the power grid; and S4, detecting a fault by monitoring local electrical parameters and a self state in real time, and automatically adjusting a control strategy and realizing system fault tolerance when the fault occurs.

The invention discloses a machine tool running state collection and evaluation method and system, and relates to the field of intelligent machine tools, and the method comprises the steps: collecting machine tool multi-dimensional data through a multi-channel collection device; performing time alignment on different sampling frequency signals by adopting a dynamic synchronization algorithm of clock drift compensation; executing noise suppression, feature extraction and compressed encoding at the edge computing node to generate local state abstract data; sending the abstract data to a central server through a distributed message queue, and realizing multi-application concurrent access based on load dynamic scheduling; and the central server performs fusion analysis on the abstract data by using a multi-modal fusion deep network model, and outputs a health degree index and an overall operation score of the key parts of the machine tool, thereby realizing intelligent evaluation and health prediction of the operation state of the machine tool. The method realizes global perception and intelligent evaluation of the machine tool operation state, and can be widely applied to operation monitoring and health management of high-end numerical control machine tools, complex machining centers and unmanned production lines.

The invention relates to the technical field of Internet of Things gateways, and discloses an Internet of Things gateway device and system based on edge computing, and the device comprises a hardware heterogeneous computing module and a multi-interface protocol adaptation module. The edge calculation local processing module is used for performing preprocessing, feature extraction and local decision on the acquired terminal data; the network redundancy and self-healing module is used for realizing accurate network disconnection detection, seamless switching of a main network and a standby network and equipment fault self-recovery through a multi-dimensional network health degree evaluation algorithm; the local autonomous storage module is used for realizing hierarchical storage of high-frequency data and network disconnection emergency data and seamless synchronization after network recovery through network disconnection data hierarchical caching and an incremental synchronization algorithm; and the cloud collaborative management module is used for realizing remote configuration, OTA upgrading and state monitoring. The method is high in integration, low in delay and fast in response, adapts to real-time scenes, saves bandwidth cost, improves cloud efficiency, is high in reliability, and realizes network disconnection and continuous operation.

The invention belongs to the technical field of product production cycle management, and particularly relates to an electronic image-text file remote multi-bin collaborative storage method based on a PLM. Comprising the steps that a 1 + N hybrid storage architecture is constructed, one center bin is deployed in an enterprise headquarter data center and stores full document metadata and latest version files, and N area bins are deployed according to geographic areas and store cache copies and incremental update data of local high-frequency access documents; the remote multi-warehouse document increment synchronization is realized through an intelligent synchronization engine, and the intelligent synchronization engine adopts a content awareness increment synchronization algorithm and a dynamic synchronization strategy based on network quality; version management is realized through a version cooperative control module, and the version cooperative control module is used for establishing a global version number mapping mechanism and a conflict resolution decision tree; cross-warehouse process automation is realized through a cross-warehouse workflow engine, and the cross-warehouse workflow engine integrates a BPM process engine and a message queue; the method can adapt to a remote network environment, and the large file synchronization efficiency is improved.

The invention relates to a low earth orbit satellite-oriented frequency offset estimation and compensation method, and belongs to the technical field of satellite communication. Aiming at the problems of failure of a traditional synchronization algorithm, complex calculation of a dual-state model, difficulty in parameter setting and the like caused by ultra-large frequency offset due to high-speed movement of a low-orbit satellite, the method comprises the following steps of: firstly, detecting integer frequency offset through cross-correlation of a received signal and a local PSS sequence and compensating the integer frequency offset; secondly, estimating decimal frequency offset by adopting a segmented correlation method; and finally, inputting the total frequency offset observation value into a single-state Kalman filter, and carrying out iterative correction by taking the known Doppler frequency offset change rate as a control quantity. The method has the technical effects that the synchronization stability in a low signal-to-noise ratio environment is remarkably improved, the system complexity is greatly reduced, the multi-parameter coupling problem is eliminated, the dynamic scene adaptability is enhanced, and a high-precision synchronization solution is provided for space-ground integrated communication.

The invention provides a reverse time offset compensation method, device and equipment and a medium, and the method comprises the steps: determining a superframe header position through employing a superframe synchronization algorithm when a digital video broadcasting DVB terminal searches a satellite; performing frame format analysis processing based on the superframe header position to obtain a corresponding frame type format; when the superframe header position is in an available state, obtaining a theoretical frame header position corresponding to the frame type format according to the frame type format; and according to the theoretical frame header position and the superframe header position, determining a time offset error value and sending the time offset error value to a signaling processing unit, so that the signaling processing unit performs time offset compensation correction according to the time offset error value and determines a target time offset value. According to the scheme, the access stability and the data transmission reliability of the DVB communication system are improved.

The application provides a network distribution DTU data synchronization method supporting multiple synchronization algorithms, comprising: setting multiple synchronization algorithm calculation modules, a synchronization algorithm self-switching module and a sampling synchronization calculation module for a DTU device; the multiple synchronization algorithm calculation modules configure multiple synchronization algorithms and calculate synchronization parameters based on each synchronization algorithm, including synchronization quality Q; the synchronization algorithm self-switching module selects a synchronization algorithm with optimal synchronization quality according to the network type used for communication between each DTU device, the synchronization quality Q and the accuracy of each synchronization algorithm, and obtains the synchronization parameters corresponding to the synchronization algorithm with optimal synchronization quality; the sampling synchronization calculation module uses the synchronization parameters provided by the synchronization algorithm self-switching module and the opposite side sampling data sent by the opposite side DTU device to perform calculation, and converts the opposite side sampling data into synchronization data synchronized with the local side sampling data. The application can realize sampling synchronization of the DTU device under multiple synchronization algorithms in the scene of multiple opposite side devices interconnected.

The invention discloses a method and a device for testing embedded software of airborne equipment. The method comprises the following steps: calculating a current clock skew drift rate according to time information in a synchronization message sent by target equipment; calculating a predicted clock skew with the target device according to the current clock skew drift rate; dynamically adjusting the clock frequency according to the preset clock skew, and synchronizing with the target equipment; and executing the test case to test the to-be-tested software on the target equipment. According to the high-precision time synchronization method based on the drift adaptive synchronization algorithm, the problems of real-time verification and time synchronization in embedded software testing are solved, the requirement for high time precision of civil aircraft airborne equipment is met, and the precision and robustness of test cases are improved.

The application discloses a kind of security systems of identity fragment cross dynamic verification, it is related to network security verification technical field.System includes verification request module, fragment extraction module, dynamic combination module, session security module, verification feedback module, salted hash preprocessing module, equipment environment detection module and dynamic rule synchronization algorithm module.By extracting mobile phone number and identity card fragment and carrying out irreversible de-identification processing, cross combination is generated according to dynamic rule Verification password, combined with unique session identifier and end-side encryption realizes one-time security verification.The application does not store complete identity information, can dynamically switch verification rule, has the advantages such as anti-fraud, anti-cracking, data compliance, full-scene application, etc., and is suitable for financial transfer, e-commerce, government affairs, online car-hailing, points mall and other high-security demand scenes.

The application provides a 10GBase-T physical layer synchronization and equalization method and device, which realizes fast capture of a PN training sequence in PN synchronization by using iteration interaction of a multi-state equalizer and a PN synchronization algorithm; meanwhile, the multi-state equalization method in the equalizer has a high multiplexing degree and an inheritance characteristic of equalization training results on hardware, which can greatly reduce hardware overhead of a synchronization and equalization module in 10GBase-T and significantly improve convergence speed of equalization training; further, with training convergence of filter coefficients in the equalizer, the quality of equalization output signals is continuously improved, and input of the equalization output results to the PN synchronization module will further improve stability of PN synchronization tracking and reduce step-out probability.

The invention relates to the technical field of data analysis, in particular to a fault signal phase synchronization method and device based on a data fusion algorithm. The method comprises the following steps: preprocessing a collected bearing operation data signal; the preprocessed data signals are fused, and reliable phase offset estimation of each operation period and position is calculated; the fused data signals are processed through waveform matching and a phase correction algorithm, phase deviation caused by driving speed and load changes is eliminated, and data signals after phase synchronization are obtained; and based on the data signals after phase synchronization, bearing fault features are extracted, and a phase consistency coefficient is calculated. According to the technical scheme, the identifiability of fault signal characteristics is improved through multi-sensor data fusion and an advanced phase synchronization algorithm, and an important technical means is provided for fault diagnosis of rotating machinery.

The application discloses a kind of time and frequency synchronization method and system of one bit quantization cell-free massive MIMO system based on positioning speed measurement, method as follows: step 1, the symbol timing offset STO and carrier frequency offset CFO are estimated using Schmidl-Cox synchronization algorithm;Step 2, according to the estimated value of STO and CFO, the distance between user UE and access point AP and the movement speed of user UE are estimated;Step 3, the distance and movement speed of step 2 are used to estimate STO and CFO again.The technical scheme of the present application has good realizability, and can obtain lower system synchronization error through test.

The invention relates to the technical field of photovoltaic tracking support control, and particularly discloses a safety protection method based on a dual-chip photovoltaic tracking support control system, which comprises the following mechanisms: a multi-motor PID synchronization algorithm optimization mechanism including an amplitude threshold PID historical data clearing strategy; starting a self-checking mechanism, including multi-component detection and fault grading processing; the dynamic detection mechanism adopts a multi-thread parallel detection technology; according to the delayed power failure mechanism, continuous power supply after power failure is achieved through a capacitor energy storage array and a DC-DC converter; a data comparison monitoring mechanism is operated, and motor current and Hall data are compared in real time for fault diagnosis; according to the motor position calibration mechanism, Hall data and PID historical data are reset at a physical limit position; according to the dual-threshold mechanism, a main chip and an auxiliary chip are respectively provided with a Hall difference threshold, and grading fault response is achieved. The comprehensive scheme of efficient synchronous control and multi-level safety protection is integrated, and stable, reliable and safe operation of the photovoltaic tracking support is ensured.

The invention relates to the technical field of distributed storage, and discloses a data processing method and device of a distributed storage system, equipment and a medium, the method comprises the following steps: obtaining a data write request initiated to the distributed storage system, and analyzing the data write request to obtain first target data; determining a first copy block device corresponding to the data write request, wherein the first copy block device is bound with a plurality of target storage nodes; and synchronously storing the first target data to a plurality of target storage nodes based on a replication strategy of the first replication block device. By implementing the method provided by the invention, the consistency of the copy data among the plurality of storage nodes can be ensured, the first target data is synchronously stored to the first storage node and the one or more second storage nodes based on the binding relationship, a complex synchronization algorithm is not needed, and the overall performance of the distributed storage system can be improved.

The invention relates to the technical field of intelligent classroom analysis and multi-modal data processing, in particular to a classroom intelligent analysis data acquisition method and system for cross-modal synchronization algorithm optimization. The method comprises the following steps: deducing a teaching event probability from multi-modal data through a specific model, and calculating a comprehensive acquisition value index in combination with cross-modal consistency and event time sequence logicality; the system performs real-time evaluation according to the value index, compares the value index with a preset threshold value, and generates a hierarchical acquisition instruction to adaptively control a data storage strategy; the method has the core advantages that through intelligent evaluation, only high-value teaching fragments are selectively stored, collection of invalid data can be effectively avoided, the cost of data storage and subsequent analysis is remarkably reduced, and the utilization efficiency of storage resources is greatly improved.

The invention relates to a software radio burst waveform-based synchronization method, a software radio burst waveform-based synchronization system, software radio burst waveform-based synchronization equipment and a medium in the technical field of electronic communication. A configured one-way sliding window synchronization algorithm is adopted at a receiving end to carry out preamble capture on a burst signal in a burst communication scene based on software radio, and a system can automatically select a proper sliding window size according to the designed one-way sliding window synchronization algorithm, so that a preamble sequence of a burst communication frame is correctly captured and a baseband symbol rate is adapted; according to the invention, the receiving end can correctly decode the information data, the correlation between the receiving sequence and the leader sequence is ensured, the hardware calculation overhead is reduced, the system is simple to implement, the hardware requirement is low, and the practicability is high.

The invention provides a multi-mode NFC role switching AI tide play base device and an interaction method, and aims to solve the problems that role switching is not dynamic, multi-mode alignment is difficult, the safety is low, the calculation requirement is high and the like in an existing NFC tide play technology. The base device comprises an NFC identification module, a multi-mode sensor layer, an edge computing unit, a cloud interface and a security module; the interaction method comprises the steps that a user places an IP hand board with an NFC label on a base, reads a label ID and then downloads and loads a role data packet, the multi-mode sensor collects input and fuses the input, the edge calculation unit conducts local reasoning to generate a response, the safety module adopts non-falling encryption to protect the IP copyright, and a lamplight synchronization algorithm shows the lamplight effect. According to the invention, flexible switching of IP roles, real-time multi-mode fusion response, data encryption protection and low-delay interaction are realized, and the competitiveness of the AI tidal play base in the IP derivative market is improved.

The present application relates to camera control technical field, specifically to a kind of multi-view camera motion capture method based on fuzzy control and dynamic synchronization;The method steps of the present application are as follows: calculate the farthest recognition distance, place multi-view camera in the farthest recognition distance;The moving image captured by multi-view camera, upload the image to fuzzy control system, calculate the adjustment value according to the deviation of target object tracking by fuzzy control system, adjust the position and speed of tracking moving target, so that it tracks target object;Calculate tracking error, transmit error to fuzzy control system, adjust camera to make it track target object according to the tracking error E 𝑡 And error rate EC of change of moving target, make camera track target object;The advantages of the present application are that high-quality time signal source is used by signal quality evaluation algorithm, the reliability of time synchronization is guaranteed, and dynamic synchronization algorithm of time stamp is used, to ensure that the time of each camera is aligned, and the capture accuracy is improved.

The invention discloses a clock synchronization detection method, and relates to the technical field of clock synchronization, and the method comprises the steps: determining a reference clock in a clock system, and determining a conversion relation expression between the clock time of the reference clock and the clock time of other clocks; substituting the clock time of other clocks except the reference clock into the conversion relation expression to obtain clock time, and taking the clock time as first synchronous detection time corresponding to the reference clock; time obtained based on a preset synchronization algorithm is used as second synchronization detection time corresponding to the reference clock; comparing the first synchronous detection time with the second synchronous detection time to obtain a comparison detection result; and if the comparison detection result is abnormal, carrying out abnormal processing on the clock system. According to the invention, the synchronization algorithm of the clock system is detected based on the first synchronization detection time, and related processing is carried out when abnormality is detected.

The invention discloses a wireless network time synchronization method and system, and a storage medium, and the method comprises the steps: collecting network node time data, forming an original sampling sequence, and generating a whole network clock observation matrix; based on the connection strength between each pair of network nodes, constructing a Laplacian matrix; on the basis of an objective function of a graph regularization robust low-rank decomposition model, carrying out joint optimization solution on the whole-network clock observation matrix, and alternately updating a low-rank matrix and a sparse matrix; after convergence conditions are met, drift and offset correction values are calculated, and correction parameters are generated; and performing wireless network time synchronization according to the correction parameter. The problem that an existing synchronization algorithm is unstable in precision under the conditions of strong interference, packet loss and dynamic topology is solved, and unification of high precision and high robustness of clocks of the whole network is achieved.

The application provides a design method and system of a logical clock synchronization algorithm for a distributed system, comprising initializing a local logical clock service, configuring logical clock parameters and other node information of the distributed system; starting a local timing daemon thread, checking whether to time out at intervals, broadcasting local logical time information to all other nodes if time out, and resetting a remaining waiting time value; when a node communicates with other nodes in the system, calculating a probability and unicasting local logical clock information to a communication node at the other end according to the probability; if a communication receiving end node receives logical clock information from the other end, checking a local logical clock, updating the clock as needed, and halving the remaining waiting time value of the daemon thread. The application solves the problem of clock asynchronization in a distributed system and solves the problem of global event ordering in the distributed system. The application realizes global event total ordering in a performance-limited distributed system by improving a classical Lamport timestamp.

The invention belongs to but is not limited to the technical field of industrial automatic detection, and discloses a rotation detection system and method based on multi-station cooperative control, and the system comprises four groups of vertical rotating shafts, a double-mechanical-arm carrying mechanism, four groups of special detection units, and a control unit. The control unit is internally provided with a PID + fuzzy self-adaptive composite synchronization algorithm, a dynamic priority time sequence switching strategy, image fusion logic for abnormity elimination and abnormity processing logic. Initialized configuration and original point regression, station task allocation, multi-mechanism synchronous transfer and image acquisition, multi-angle image fusion processing, cyclic detection and exception processing realize full-process automation. The method can improve the detection efficiency, reduces the defect missed judgment rate, is adaptive to multi-specification products, supports parameterized configuration, is adaptive to multi-specification precision components, is rapid in fault tracing, and is suitable for batch detection scenes of lens cones and the like.

Disclosed in the present invention are a signal demodulation method and apparatus, and a device and a storage medium. The method comprises: acquiring at least two frames of message signals of a target balise; on the basis of a synchronization algorithm, superposing a current signal and a preset number of preceding frames of signals adjacent to the current signal, so as to obtain a target signal, wherein the current signal is any frame of message signal other than the preset number of preceding frames of message signals among the at least two frames of message signals of the target balise; and demodulating the target signal. By means of the technical solution of the present invention, the characteristic that the same balise message signal is repeatedly sent can be utilized, and by means of bit synchronization technology, the currently received signal is accumulated with the signals received at the same position as the preceding frames of signals, such that the signal-to-noise ratio is increased, and the success rate of the signal being correctly demodulated is improved, that is, the performance of a BTM receiving a balise message is improved.

The present disclosure relates to a preamble structure-based OFDM time-frequency synchronization method and device. The method comprises: obtaining a received signal, wherein the received signal comprises a preamble structure, the preamble structure is composed of a prefix sequence and a training sequence, the prefix sequence and the training sequence are both based on a ZC sequence, the training sequence is flanked by a prefix sequence, and the training sequence does not comprise a prefix sequence. In the method provided by the present disclosure, since the prefix sequence and the training sequence are different sequences, and the cross-correlation of the ZC sequence is weak, the received signal will not produce a correlation peak in the prefix sequence part during the sliding correlation process, and only when the training sequence is completely aligned can a strong correlation peak be produced, thereby avoiding the platform effect of timing synchronization. Meanwhile, the timing correlation peak at the timing position obtained by the method provided by the present disclosure is relatively sharp, the timing accuracy is high, and the time-frequency synchronization algorithm is simple and easy to implement.

This invention discloses an amplitude and phase consistency calibration system for a high-power combining system, comprising multiple transmit link modules, a power combiner, a main controller, and a host computer. It also discloses a calibration method for amplitude and phase consistency in a high-power combining system. This method sets the voltage standing wave ratio (VSWR) and reflected power of each input port as mandatory safety constraints and embeds them into the optimization algorithm. A calibration strategy is adopted that increases progressively from low power to high power, prioritizing the adjustment of the phase of the channel with the highest reflected power, and finally performing amplitude fine-tuning. This invention is applicable to the high-power radio frequency field, overcoming the major drawbacks of traditional unconstrained phase synchronization algorithms that easily lead to excessive reflected power and damage to core components in multi-channel power combining. While ensuring absolute system safety, it achieves efficient and reliable amplitude and phase calibration in high-channel, high-power combining systems, significantly improving the system's engineering feasibility and reliability.

The application discloses a time-frequency synchronization method of a non-cooperative OFDM communication system, a blind synchronization algorithm of cyclic prefix autocorrelation is used to perform initial frame synchronization on a received signal to realize frame header positioning, a sliding correlation window is used to position a time domain position of a synchronization sequence of the received signal, clustering decision is performed on the synchronization sequence in continuous multiple frames of signals, and an initial synchronization sequence is extracted through autocorrelation peak value statistics of multiple frame decision results. According to autocorrelation characteristics and cycle characteristics of the synchronization sequence, the application provides a fast symbol synchronization and optimal sampling point synchronization method, and frequency offset estimation is realized based on a Moose algorithm. After the received signal is subjected to time-frequency synchronization, the synchronized sequence is fed back to the clustering decision step to perform iterative updating on a local synchronization sequence, and the overall system performance is further improved.

A receiving method of a wireless signal performed by a wireless signal reception device includes: receiving the pilot signal and the velocity of the UAV by the antenna; performing a ground downlink signal reception and synchronization algorithm, including steps as follows: according to the position of the UAV, the position of the antenna and the transmission direction of the pilot signal, calculating an AoA; according to the frequency of the pilot signal, the velocity of the UAV and the AoA, calculating a doppler frequency shift; according to the doppler frequency shift, adjusting the frequency of the pilot signal; according to the preset time point corresponding to the pilot signal, adjusting the present time point of the pilot signal in a data symbol; according to the adjusted present time point, adjusting the sampling time point of the pilot signal. By the foregoing method, the doppler frequency shift is modified.

The invention provides an automatic synchronization algorithm and system for a bypass switch of a power conversion device. The automatic synchronization algorithm comprises the following steps: S1, acquiring position states of a main loop switch and the bypass switch in real time; s2, selecting a corresponding synchronous operation process according to the position states of the main loop switch and the bypass switch; s3, according to the selected synchronous operation process, controlling a bypass switch to execute a switching action; and S4, after the switching action is executed, judging whether the bypass switch is synchronized with the main loop switch, if so, completing the operation, and if not, triggering an alarm. The operation process of the bypass switch is simplified, misoperation possibly occurring in the manual operation process is effectively avoided, and safety risks caused by misoperation are eliminated.

A synchronization system for synchronization of at least one physical element and at least one digital element of an analog / digital instrument of a vehicle is described, which envisages: a first driving sub-system, for driving the digital element and including a first digital processing unit operatively coupled to the digital element; a second driving sub-system, for driving the physical element and including a second digital processing unit operatively coupled to the physical element. The first and second digital processing units of the first and second driving sub-systems implement a synchronization algorithm to determine a synchronism between an operation of the first driving sub-system and a corresponding operation of the second driving sub-system, said synchronization algorithm including operations that are independent of the use of a common reference clock and are based on a set of predefined signals exchanged between the first and second digital processing units.

The invention provides an industrial equipment intelligent management method and system based on cloud edge collaboration. The method comprises the following steps: constructing a three-level collaborative architecture of a center end, an edge end and an equipment end, and establishing a two-way communication channel through a proxy tunnel mode; and the center end generates edge end instance configuration based on the equipment template metadata, and the edge end returns equipment state change data in real time by adopting an increment synchronization algorithm, only synchronizes the variable quantity and adopts priority queue management. The system comprises a center end module, an edge end module, an equipment end module, a communication module, a rule engine module and a side AI analysis module. According to the method, the problems of data synchronization delay, bandwidth waste and decision response lag are effectively solved, million-level equipment state millisecond-level consistency synchronization and intelligent closed-loop control are realized, and the industrial equipment management efficiency and the intelligent level are improved.