5results about How to "Implement synchronous updates" patented technology

The application discloses to the technical field of information system, specifically a power question and answer multi-object linkage updating method based on an intelligent algorithm, first, the original knowledge change in the power knowledge base is converted into a standard event that can participate in the dynamic updating of intelligent question and answer; then, the identified updating event is mapped into a multi-object linkage updating task in the intelligent question and answer link of the power knowledge base; subsequently, the affected knowledge content in the power knowledge base is re-divided into knowledge slices suitable for intelligent question and answer retrieval and evidence positioning; after that, the understanding ability of the intelligent question and answer system to user queries is kept consistent with the latest knowledge state in the power knowledge base; based on this, the application effectively solves the core problems in the power knowledge base intelligent question and answer scene, such as the disconnection between knowledge updating and question and answer ability updating, extensive local revision processing, query understanding lag, retrieval sorting mismatch and unstable answer output.

The present application belongs to the technical field of supply chain decision optimization, and particularly relates to a supply chain evolution game decision optimization method and system fusing multi-source data. The present application firstly calculates strategy distribution entropy based on the strategy selection proportion of each subject, then calculates external disturbance factors based on external environment indexes in the global trusted state data, secondly calculates comprehensive game state entropy based on the calculation results of strategy distribution entropy and the calculation results of external disturbance factors, and finally sets a game imbalance early warning threshold to pre-judge potential risks based on the calculation results of comprehensive game state entropy, and automatically generates a regulation and control strategy to intervene in the game process when the early warning is triggered, thereby guaranteeing the stable operation of the supply chain. This progressive calculation method makes the entropy value not only reflect the change of the internal game state, but also perceive the disturbance of the external environment, thereby realizing accurate risk measurement combining internal and external factors, and being more scientific and authentic than single-dimensional entropy value calculation.

Embodiments of the present disclosure disclose a document synchronization method, device, equipment and medium. The method comprises: listening to the update state of a document according to the document version identifier of the document node in the tree structure of the document; when the content object update of a room is listened to, determining the client that subscribes to the content object in the room; wherein the content object comprises the document; according to the update content of the content object in the room, providing the update content to the client for updating the content object by the client. The technical scheme unifies the listening to the update state of the document through the document version identifier of the document node, compared with respectively listening to the plurality of content blocks in the document through the content block version identifier, effectively reducing the listening pressure of the server, thereby realizing the synchronous update of the online document on the basis of reducing the listening pressure of the server.

The application discloses a kind of slope and river channel confluence coupling parallel computing method and related device, method includes: the cumulative confluence area of each cell is calculated based on the flow direction relationship between each cell to identify slope cell and river channel cell;Based on the flow direction relationship between each cell, simulate the slope confluence movement of study area, and calculate the hydrological flow data of each slope cell and river channel cell in parallel;Simulate the river channel confluence movement of study area, according to the hydrological flow data, calculate the inflow data of each river channel cell at the current time step in parallel;According to inflow data, update the water storage of each river channel cell at the next time step in parallel based on linear storage confluence method;Based on water storage, update the outflow data of each river channel cell at the next time step in parallel.The application realizes the coupling simulation of slope and river channel confluence;Through linear storage, the water quantity of each cell is updated, and the river channel confluence does not need sequential iteration, so as to realize the synchronous update of whole watershed cell.

The invention discloses a lithium battery SOC prediction method fusing online parameter identification and QPSO-AUKF and application, an adaptive unscented Kalman filter (AUKF) algorithm is adopted to construct a prediction model, a QPSO algorithm is added, and particle positions are described through a probability density function. Optimal parameters of a process noise covariance matrix and an observation noise covariance matrix are searched more efficiently in a solution space, so that the adaptability and estimation precision of the filter under different working conditions are improved; when SOC estimation is carried out, FFRLS is adopted to recognize battery parameters in lithium battery modeling in real time, model parameters are recursively updated to obtain optimal parameter vectors changing along with time, the optimal parameter vectors are input into a QPSO-AUKF algorithm, and a closed-loop correction structure is formed in the cycle recursion process of a prediction model. According to the method, the system characteristic change can be accurately captured, and the synchronous updating of the battery parameters and the state is realized, so that the precision and the stability of SOC estimation are remarkably improved.