4results about How to "Avoid local optimum problems" patented technology

This invention relates to a dual-modal flexible temperature-strain sensor and its fabrication method. The sensor achieves efficient detection of temperature and strain signals by combining direct ink writing and screen printing processes. The sensor features a unique design, comprising a rigid substrate and a flexible substrate, housing a thermal resistance temperature sensor and a piezoresistive strain sensor respectively, ensuring effective separation and accurate measurement of temperature and strain signals. The use of flexible materials and a FA-BP neural network algorithm based on an improved firefly algorithm enhances stability and measurement accuracy under varying environments. Furthermore, the sensor can still operate normally at high temperatures, outperforming common flexible thin-film materials on the market. This sensor demonstrates significant application potential in smart wearable devices, health monitoring, and industrial automation, providing a new solution for achieving high-precision and high-stability temperature and strain monitoring.

This invention discloses an optimization method for a natural gas pressure energy system based on a multi-objective frost algorithm, relating to the field of energy utilization technology. The specific steps are as follows: A comprehensive optimization model is established for the natural gas pressure energy system from three aspects: system efficiency, economic benefits, and environmental benefits. Then, algorithm parameters are initialized and the population is uniformly initialized. Next, a neighborhood structure is constructed by calculating Euclidean distance, and the fitness of each individual is calculated using a weighted sum decomposition method. The quality of local solutions is optimized by combining a frost neighborhood perturbation mechanism. In the stage of generating new individuals, simulated binary crossover and polynomial mutation operators are used, and a hard frost puncture mechanism is introduced to avoid local optima. Subsequently, the population and solution set are updated, retaining non-dominated solutions and maintaining the convergence and diversity of the solution set. Finally, the optimal result is selected by comprehensively evaluating the optimized solution set using the analytic hierarchy process (AHP)-fuzzy decision method. This invention can optimize and improve the performance of a natural gas pressure energy system.

This invention relates to the field of intelligent battery swapping recommendation technology, and discloses an intelligent battery swapping recommendation method and system based on historical battery data. The method includes: a vehicle central control system identifying the vehicle from a user-triggered battery swapping request signal to obtain parameter information of the current vehicle; querying historical battery matching data corresponding to the parameter information from a cloud database, and calculating the compatibility score between each battery model and the current vehicle; a battery swapping cabinet control system performing multi-objective collaborative recommendation decision-making with the compatibility score and the inventory batteries to obtain the optimal recommended battery identifier; and the battery swapping cabinet opening the corresponding compartment door according to the optimal recommended battery identifier to execute the battery swapping process and generate a battery swapping operation record. This invention improves the accuracy of battery compatibility assessment, can discover performance correlations between different battery models, and thus improves the automation and intelligence level of the entire battery swapping process.

This invention belongs to the field of virtual reality technology, specifically relating to an XR task planning and instruction issuance method for brewing automation, comprising the following steps: Step 1: Collecting operator demonstration action sequences and voice process descriptions of the brewing production line in an extended reality environment to obtain a hierarchical task graph consisting of process layers and action layers; Step 2: Marking the execution devices corresponding to each action layer node in the hierarchical task graph as game participants, and the global coordination strategy includes the coordinated movement path scheme and rhythm allocation scheme of all execution devices; Step 3: Constructing a flexible Petri net model of the brewing production line based on the global coordination strategy, replacing the original strategy corresponding to the local subnet in the flexible Petri net model with the local replanning scheme, and continuing to issue instructions. This invention achieves formalized automatic mapping from process semantics to equipment actions, improving the programming efficiency, coordination quality, and anomaly response capability of the brewing production line.