3 results about "Smart office" patented technology

The application relates to the technical field of digital twinning and environment control, and discloses a smart office space management method based on a digital twinning technology, which comprises the following steps: constructing a lumped parameter network model to calculate theoretical state data, calculating a state residual error vector of measured data and the theoretical data, decoupling the residual error into a transient load disturbance component and a structural parameter drift component through a double-frequency band filter, inversely projecting the transient component into an equivalent disturbance parameter injection model for advance deduction by using a model inverse dynamics principle, and identifying and correcting a model structure parameter matrix by using a gradual state component; through frequency domain decoupling and reverse analysis of the state residual error, the software-defined perception of unmeasurable implicit loads and the internal adaptive correction of model aging drift are realized, response lag of a large thermal inertia system is avoided, and the self-evolution ability of the system in the whole life cycle is improved without additional hardware investment.

The invention belongs to the technical field of intelligent office resource management and data processing, and relates to an intelligent office space configuration and reconstruction system based on dynamic demand identification, which uses a data synchronous acquisition module to align logs and sensor data streams; the event capturing and locking module captures a strong semantic work event and defines an effective analysis time period; the data slice generation module intercepts environment parameters and injects working intention attributes to generate data slices; the efficiency analysis and extraction module generates multi-dimensional efficiency evaluation indexes for different intentions; the efficiency feature kernel construction module constructs a space efficiency feature kernel; the efficiency differentiation diagnosis module calculates a weighted feature distance and generates a mismatch signal when the weighted feature distance exceeds a threshold value; and the spatial reconstruction strategy generation module retrieves the candidate module and performs virtual layout deduction to generate a reconstruction strategy. The problem that the matching degree between the physical environment and the specific task requirement is low due to the fact that the specific work intention is difficult to perceive in an existing scheme is solved.

The application provides a computing power performance bottleneck intelligent optimization method and system for smart office application, and the method comprises the following steps: collecting user behavior and system resource state data through a sliding window, and constructing a structured task context sequence; a resource-aware attention mechanism is used to identify the current office task type and scheduling priority; based on the task type and priority, nodes are screened from a resource prototype library and a weighted resource path graph is constructed according to a task conditional prior, and a graph-level representation is obtained through graph neural network coding; a structure attention mechanism is used to generate a path-oriented scheduling plan, and a complexity regularization term is introduced to suppress high-cost actions; the task priority is used to dynamically control the instruction execution rhythm, and the state is resampled and the weight is calculated to quantify the improvement effect of the scheduling on the bottleneck path. The application is task-centered, realizes closed-loop optimization from identification to execution, and significantly improves the response fluency of office tasks.