3results about How to "Realize seamless access" patented technology

This invention relates to the field of lithium battery asset management and value assessment technology, particularly a lithium battery asset lifecycle health management and value assessment system. The system comprises a physical asset access layer, a digital twin construction and assessment layer, an economic value mapping and calculation layer, and a strategy generation and closed-loop optimization layer forming a two-way data closed loop, all connected sequentially. The system accesses multi-source heterogeneous time-series data throughout the lithium battery lifecycle, constructs a digital twin coupling an electrochemical degradation mechanism model and a data-driven model, calculates the real-time dynamic economic value vector of the lithium battery, generates operational optimization strategies with the goal of maximizing the asset value throughout the lifecycle, and iteratively optimizes the model through feedback on execution results. This invention achieves deep integration of lithium battery health management and asset value management, and can be widely adapted to the refined management needs of lithium batteries throughout their entire lifecycle in various scenarios.

The application relates to a debugging method for self-modeling access of a network protection device to a master station, which comprises the following steps: S1, constructing a standardized protection signal rule library and a protection parameter rule library in advance on the master station side; S2, reading self-description model information reported by the network protection device and performing integrity check on the self-description model information; S3, intelligently analyzing and adaptively accessing by the master station based on the self-description model information and the protection signal rule library and the protection parameter rule library, including: performing model automatic point matching and consistency check, protection signal intelligent access, protection parameter intelligent access, signal and parameter logic consistency check and automatic setting value management; and S4, based on the protection signal rule library, the protection parameter rule library and the access result, performing panoramic monitoring and evaluation on the adaptive access situation of the global network protection device. The application can improve the access efficiency, guarantee the data consistency, enhance the system flexibility and expandability.

The invention discloses an intelligent self-adaptive scheduling method for multi-protocol industrial fan group control. The method comprises the following steps: S1, time-space self-consistency real-time sensing and semantic-level data generation of a multi-protocol heterogeneous fan group; s2, performing multi-protocol analysis based on dynamic semantic mapping; s3, realizing accurate integration of data of a plurality of sensors by using Kalman filtering and a data fusion technology; s4, an operation strategy is adjusted in real time according to the equipment operation state, the environment change and the fan load, and dynamic optimization of fan group control is achieved; and S5, performing fault prediction and setting an early warning mechanism. By introducing technologies such as multi-protocol data analysis and mapping, an adaptive scheduling algorithm, intelligent energy efficiency optimization control, machine learning fault prediction and the like, a fan group control management platform with high compatibility, intelligence, energy conservation and reliability is constructed, the system adapts to a complex and dynamic operation environment of an industrial field, and the system is suitable for large-scale popularization and application. And the overall operation efficiency and energy efficiency of the fan group control system are effectively improved.