3results about How to "Resource maximization" patented technology

The invention relates to the technical field of battery health state evaluation, in particular to a battery energy storage state monitoring and evaluating system and method. The method comprises the following steps: carrying out structural vibration response acquisition on a battery to obtain a measuring point frequency response characteristic set and a vibration mode distribution diagram; performing mechanical impedance spectrum calculation on the vibration mode distribution diagram according to the measuring point frequency response characteristic set to obtain a battery vibration response spectrum; identifying a resonance characteristic table from the battery vibration response spectrum; performing modal consistency index calculation on the battery vibration response spectrum according to the resonance characteristic table to obtain a modal consistency index; constructing a structure health degree vector according to the modal consistency index; and dielectric detection parameter optimization is carried out according to the structural health degree vector, and a regionalized detection scheme is obtained. According to the method, two physical field means of structural vibration response analysis and regional dielectric property detection are combined, so that refined space mapping and accurate echelon utilization rating of the internal state of the battery are realized.

This specification discloses an adaptive state data update method, device, and medium, relating to the field of data update technology. The method includes: acquiring state data update actions and determining the category of state data corresponding to the state data update actions; splitting the state data update actions into multiple action sets based on the category of state data corresponding to the state data update actions; determining a time interval adjustment strategy corresponding to the current state according to preset rules, wherein the time interval adjustment strategy includes a state data update time interval; updating the state data corresponding to each action set sequentially according to the state data update time interval in the time interval adjustment strategy; and evenly distributing the resource consumption of the data update actions over the time dimension to minimize instantaneous resource contention while maximizing the utilization of system resources and ensuring the timeliness of the state data.

The application discloses a high-availability and anti-split-brain industrial data acquisition system, comprising: a basic server cluster, which comprises a business server cluster and a history server cluster, the business server cluster comprises a plurality of business instances, the business instances are used for undertaking business logic processing tasks, the business instances are separately deployed from a database master node, and at least one special master node is included in the plurality of business instances; and an acquisition server cluster, which is used for acquiring real-time data from field devices or IoT terminals; wherein the business server cluster is based on an election mechanism of a Redis cluster, and when network partitioning occurs, an external coordinator is used for judging and forcibly closing the write permission of a non-master node. Compared with the prior art, the business service and the database master node are separately deployed, and a three-node anti-split-brain mechanism is introduced, so that the stability and data consistency of the system in a complex network environment are remarkably improved.