6 results about "Multiple criteria" patented technology

This application provides a defect identification method, system, device, medium, and product based on hierarchical decision-making. The hierarchical decision-making defect identification method includes: acquiring multiple criteria from different detection conditions; determining and executing the first criterion to be executed based on a preset decision priority; determining and executing the next criterion to be executed based on the execution results and state transition rules of the executed criteria; repeating the determination and execution steps of the next criterion to be executed until a preset termination condition is met; and determining the defect identification result based on the execution results of the executed criteria after the preset termination condition is met. This solution, by constructing a hierarchical decision-making mechanism based on preset decision priorities and state transition rules, reconstructs defect identification from a traditional parallel final-state judgment without execution order to an ordered decision-making process with cognitive order and decision-making logic, enabling multi-source criteria to be activated and adjudicated hierarchically according to their technical characteristics and detection sensitivity.

This patent application relates to using framework parameters with a large language model to create beams based on a prompt. The beams can be evaluated using multiple criteria of a reward model that can be weighted for importance. The beams can be evaluated according to each of the one or more criteria and compared to determine which beams most closely align with the criteria. The beam that best aligns can be selected to generate a response.

The invention discloses a multi-microgrid coordination control method and device, and the method comprises the steps: constructing a potential game model of multiple microgrids, obtaining a global potential function and a microgrid utility function, and determining a power constraint condition; based on the micro-grid utility function, determining a self-excitation target weight and a collaborative target weight through a meta-strategy network; constructing an improved deep Q network based on the potential game model and the power constraint condition of the multi-microgrid; determining a game strategy value of each micro-grid through iterative updating of the Q value; the game strategy value of each micro-grid and Nash equilibrium judgment containing multiple criteria are fused, and a joint output strategy is given; and based on the joint output strategy, determining a cooperative control decision of the multiple microgrids. According to the method, the optimal output distribution of the multiple microgrids can be quickly and reliably solved, efficient coordination control is carried out, the dynamic balance between the overall benefits of the multiple microgrids and the benefits of the microgrids is realized, the real-time control requirement is met, and the control strategy is matched with the dynamic operation characteristics of the multiple microgrids.

This invention discloses an active adjustment and protection system and method based on the composite judgment of gas blowout risk, which is carried out in the following steps: After connecting the blowout prevention sealing pipe at the orifice to the temporary sealing device at the borehole opening of the target coal seam, the drilling rig is started, and the protection system and monitoring system are activated simultaneously to start the construction operation of the extraction borehole; after the monitoring system collects multi-source data signals, it performs robust preprocessing and standardization; three types of logic gate criteria are constructed to judge the preprocessed data respectively, calculate the composite risk index and mark the risk level; according to the marked risk level, corresponding active adjustment and protection measures are adopted; low extraction negative pressure and high diversion buffer ratio are maintained and continuously monitored, and after the reset condition is met, the drill rod is released from the locked state, the opening of the throttle valve is increased slightly and continuously and the diversion buffer ratio is reduced to resume the construction operation of the extraction borehole. This invention collects and processes multi-source data during drilling, constructs multiple criteria, and calculates a risk composite index. Before a blowout occurs, it provides graded early warnings and performs time-sequential linkage control of rapid closure, locking, pressure reduction, diversion buffering, locking, and controlled reset, thereby achieving orderly control of energy release and reducing the probability of blowouts.

A method, a system, and a non-transitory storage medium are described in which an binding information service is provided. The binding information service may include applying one or multiple criteria to binding information stored by a binding service function. The binding information service may identify candidate binding information instances that may need deletion based on the one or multiple criteria. The binding information service may interrogate a policy control network device as to the current registrability of the binding information. The binding information service may delete or maintain the binding information based on a result of the interrogation. The binding information service may also include directing the binding service function to delete binding information based on one or multiple criteria. The one or multiple criteria may relate to the age of the binding information or a last time the registrability of the binding information was confirmed.

The invention discloses a machine tool fault risk sorting method fusing fuzzy-optimal worst-multi-criterion optimization compromise, and the method comprises the following specific steps: 1, carrying out the analysis according to the structural characteristics of a machine tool through focusing on a numerical control gear milling machine main shaft system, and reducing the interference of non-key factors; step 2, fault data acquisition: historical fault records of a target machine tool are collected; and step 3, formulating an evaluation standard based on intuitionistic reminding fuzziness. And 4, weighting and defuzzifying expert evaluation according to an intuitionistic trapezoidal fuzzy formula, integrating the frequency O and the maintenance cost M of the fault to form a comprehensive evaluation matrix, and performing defuzzification operation. And 5, determining an index weight based on a BWM method. And step 6, realizing fault mode sorting based on a VIKOR method. According to the method, evaluation indexes are considered more perfectly, and the analysis adaptability to the machine tool field is better; subjective deviation is reduced, and accuracy is improved; risk calculation is more scientific, and simplification and mechanization of a traditional method are avoided.