7 results about "Drift field" patented technology

This invention discloses a method, system, device, and medium for suppressing wide-frequency synchronous oscillations in a distribution network system, belonging to the field of oscillation suppression technology. The method includes: realizing energy transfer between the power grid and charging piles through a three-phase AC / DC isolation conversion module; determining the operating state type based on the energy transfer direction and using corresponding modulation strategies to control the bidirectional switching unit; injecting a wide-frequency excitation signal into the distribution network system; acquiring the response current signal of the distribution network system; obtaining impedance values ​​at different frequencies through frequency domain transformation; decomposing the impedance values ​​to obtain impedance characteristic parameters; designing virtual impedance compensation parameters based on the impedance characteristic parameters; generating control signals based on the virtual impedance compensation parameters and impedance characteristic parameters; generating converter drive signals using a multi-objective controller; and adjusting the output of the three-phase AC / DC isolation conversion module based on the control signals and converter drive signals. This invention is based on adaptive algorithm-based impedance regulation and multi-objective control, adapting to frequency drift scenarios.

The invention relates to the technical field of security communication protocols of the Internet of Things, in particular to an automatic protocol identification method used in an environment of the Internet of Things, which comprises the following steps of: acquiring a difference value between a message index and frequency, aggregating a field section to generate a group number, matching a structure offset to calculate a fluctuation quantity, and identifying a period hopping field to output an identification result. According to the method, the distribution characteristics and the structure change trend of byte sections can be effectively described by performing difference analysis on repetition frequency and density change of each byte position in a communication message and establishing a field aggregation relationship, and the structure stability and drift fields in the message are extracted and the offset amplitude of the fields is quantized, so that the communication efficiency is improved. A message structure consistency judgment mechanism is established, a comprehensive evaluation mode of periodic change and structure stability is formed in combination with analysis of a periodic field byte change range and frequency hopping frequency, and field position mapping and periodic characteristics of a newly received message are subjected to matching judgment, so that a message structure consistency judgment result is obtained. Accurate classification and efficient identification of the dynamic change communication data are realized.

The application belongs to the technical field of Internet, and particularly relates to an industrial Internet cross-domain metadata trusted fusion method and system, comprising the following steps: collecting structured metadata, time series metadata and relationship metadata of each industrial domain node, and constructing an intra-domain metadata graph based on field attributes and call relationships; performing semantic coding and time series coding on the intra-domain metadata graph, obtaining corresponding semantic representations and time series representations, and calculating inter-field consistency; identifying stable field clusters, drift field clusters and abnormal nodes according to the inter-field consistency in each industrial domain node; and performing segmented aggregation on the stable field clusters and the drift field clusters by each industrial domain node to generate anchor field summaries and drift trajectory summaries. The application combines metadata graph coding, field clustering and federal dynamic weighting, and realizes industrial cross-domain metadata private trusted fusion through abnormal compensation correction.

The application provides a kind of large resolution difference non-homologous synthetic aperture radar sea ice drift detection method, comprising: obtaining training sample, constructing super-resolution reconstruction network, and using super-resolution reconstruction network uniform resolution;Based on the high-resolution image pair obtained by super-resolution reconstruction network, feature extraction and coarse matching are carried out;Based on the features after feature extraction and coarse matching, remove the error matching points;Calculate the sea ice drift vector field, obtain complete non-homologous SAR image sea water drift information.The application can realize the full-automatic detection of sea ice drift, and use the advantages of non-homologous SAR high spatial resolution and high time resolution, obtain high-resolution, quasi-real-time sea ice drift field, meet the demand of realizing high-resolution sea ice drift automatic detection from massive SAR data.

The application relates to the technical field of business process dynamic arrangement, and discloses a business process dynamic arrangement method and system based on a microkernel, which comprises the following steps: collecting a runtime data mode and context behavior characteristics of a component, generating a double-layer associated execution record; comparing the runtime data mode with a static interface contract, generating an implicit mode drift detection result; grouping and establishing an independent behavior baseline according to a calling context, generating a context-based behavior anomaly detection result; tracing a drift field propagation path along a component link, generating a cross-layer causal association detection result; quantifying the correlation between a drift characteristic dimension and a behavior anomaly dimension, generating a refined cross-layer causal attribution result; hot-inserting a data preprocessing plug-in node based on a key drift factor, generating a runtime cross-layer repair scheme; monitoring a repair effect, updating an interface contract runtime label, and outputting a cross-layer association detection report.

The application discloses a cross-platform page structure drift field extraction method and device, and belongs to the technical field of computers. The method comprises the following steps: obtaining historical field caliber characteristics; analyzing a current page to generate current structure position characteristics, current semantic context characteristics and current value form characteristics corresponding to each field object; screening a current candidate field set according to a field business type; comparing the current candidate field with the historical field caliber characteristics in terms of structure, semantics and value form to generate a business caliber consistency result; and determining a current candidate field that meets a preset consistency condition as a post-drift target field and generating an extraction result. The application can determine a target field from multiple fields that have similar value forms but different business calibers after the page structure drifts.

The application provides a non-homologous synthetic aperture radar sea ice drift detection method with intensity difference. The method comprises the following steps: obtaining a non-homologous SAR image, and pre-processing the non-homologous SAR image to obtain more uniformly distributed control points; extracting regional features by using a deep learning network, and matching the extracted features; removing error points based on a method for removing error matching; and calculating a sea ice drift vector field. The application can realize full-automatic detection of sea ice drift, and by using the advantages of high spatial resolution and high temporal resolution of non-homologous SAR, a high-resolution and quasi-real-time sea ice drift field is obtained, thereby meeting the demand of realizing high-resolution automatic detection of sea ice drift from massive SAR data.