4 results about "Collaborative intelligence" patented technology

The application discloses a kind of based on collaborative intelligence's offshore rocket self-lifting platform dynamic scheduling method, comprising the following steps: multiple platforms are constructed as intelligent unit that can be autonomously responded to task, and the adaptive matching between task and platform is realized by dynamic grouping through collaborative mechanism.In the method, multiple indicators are introduced as scheduling targets, and the weight parameters are dynamically adjusted according to real-time task, resource and environmental information to improve scheduling flexibility.Through learning optimization mechanism to generate scheduling strategy, control platform task allocation, path planning and execution timing.In the execution process, scheduling strategy and platform grouping structure can be updated in time according to environmental disturbance and task state change, to ensure smooth execution of task and stable cooperation of platform.The application is suitable for multi-task, high-frequency launch scene.

This invention provides an edge computing method and system for routers, gateways, and cameras in the field of Internet of Things (IoT) and edge computing technology. The method includes steps S1: the edge computing device collects multimodal data and preprocesses it to obtain preprocessed data; step S2: the input computing task is acquired, multidimensional indicators are collected in real time, a heuristic algorithm is used to solve the constructed multi-objective decision function, and an optimal task allocation strategy is dynamically generated based on the multidimensional indicators; step S3: the preprocessed data is synchronized based on the task type to execute the computing task locally or in the cloud; simultaneously, a two-level collaborative caching mechanism between the edge and cloud is established to cache frequently accessed preprocessed data locally on the edge computing device and synchronize all preprocessed data to the cloud when idle. The advantages of this invention are: it greatly improves the overall system performance, resource utilization efficiency, and collaborative intelligence level.

This invention discloses a regional energy management system and method based on collaborative intelligence and dynamic adaptation. The system operates in a two-level optimization architecture consisting of a regional command layer and a single-building model layer. Privacy-preserving collaborative intelligence sharing is achieved through a federated learning mechanism. The regional command layer receives and aggregates model updates to refine a global energy optimization model, and adaptively adjusts the regional optimization strategy using this model. The output of the single-building model layer continuously performs closed-loop calibration and updates to the digital twin network. Based on real-time detected trigger events or predicted conditions, the regional command layer dynamically adjusts the control granularity of the single-building model layer or temporarily authorizes intermediate cluster-level models. This aims to address the challenges of data privacy, computational complexity, and insufficient system resilience in the management of large-scale distributed energy systems.

A system for collaborative execution of a task includes a plurality of edge units in communication with a principal processor. Each edge unit includes a collaborative intelligence module configured to establish a communication link amongst at least two of the edge units. The communication intelligence module is further configured to communicate task attributes of the task with at least one other edge unit, and to exchange sensor data from the set of sensors and a plan with the at least one other edge unit to create a joint workspace followed by execution of the task in collaboration with the at least one other edge unit.