2results about How to "Maximize operating efficiency" patented technology

This invention proposes an optimization method and system for energy storage systems based on a multi-objective ant colony optimization algorithm, belonging to the field of grid regulation technology for energy storage systems. It aims to efficiently solve the coordinated optimization problem of energy source, grid, load, and storage. The core of this method lies in constructing multiple heterogeneous heuristic information sets with different optimization biases, and dividing the ant colony into different groups. Each group searches for a scheduling scheme in parallel based on a specific heuristic information. This mechanism breaks through the limitations of traditional single search, greatly improves the diversity of global search, and can generate higher-quality and more widely distributed trade-off solution sets, thereby achieving optimal coordination between economic and environmental goals.

This invention discloses a method for predicting and planning operational risks of industrial robots based on probabilistic twins. The method includes: establishing an industrial robot model, defining at least one intrinsic physical parameter affecting the dynamic behavior of the industrial robot as a random variable with a prior probability distribution, thus forming a probabilistic twin model of the industrial robot; acquiring sensor observation data from the physical world during the industrial robot's task execution, and updating the probability distribution of the intrinsic physical parameter using a Bayesian calibration method based on the difference between the observation data and the prediction results of the probabilistic twin model; probabilistically predicting the future risks of the industrial robot executing candidate task paths based on the updated probabilistic twin model, and planning or adjusting the industrial robot's task path based on the risk prediction results; this invention enables path planning to intelligently balance safety, task completion, and active learning, significantly improving the robot's autonomous decision-making ability and operational efficiency.