7 results about "Continuous interaction" patented technology

Embodiments of the present application provide a continuous interaction method of voice and related products, the method comprising: a terminal obtaining first voice data input by a target object, and sending preset data in a cache to a voice activity detection (VAD) engine of the terminal after determining that the first voice data is a wake-up voice; the VAD engine of the terminal continuously monitoring a conversation between the target object and a vehicle machine, and processing the conversation; and the VAD engine of the terminal sending the preset data in the cache to the VAD engine of the terminal again after detecting that the target object has finished speaking, so as to realize continuous voice interaction. The technical solution provided by the present application has the advantages of realizing continuous interaction and improving user experience.

The application discloses a shuttle frame component interaction method and an electronic device, relates to the technical field of front-end development user interface components, and comprises the following steps: performing a target operation on at least one of a search box subcomponent, a first list subcomponent and a second list subcomponent; if the target operation is a selection operation or a deletion operation, synchronously updating the first list subcomponent displayed in a first view and the second list subcomponent displayed in a second view; if the target operation is a search operation or a page turning operation, obtaining new element configuration information from a preconfigured data interface, rendering the new element configuration information, updating the first list subcomponent displayed in the first view according to the rendered new element configuration information, and keeping the second list subcomponent displayed in the second view unchanged during the search operation and the page turning operation. The method solves the problems of page freezing and interaction delay caused by full rendering in the prior art, and realizes smooth component operation and continuous interaction improvement under massive data.

The embodiment of the application provides a device safety risk identification method and system based on continuous interaction of mine agents, after the mine agent receives and analyzes device abnormal natural language description, calls analysis multi-source time sequence signal flow, outputs an initial fault hypothesis set and an initial fault confidence set, according to the confidence deviation of the initial fault confidence set relative to a preset confidence threshold, constructs a fault hypothesis space convergence strategy of the initial fault hypothesis set to call multi-source compensation signal flow and iteratively update fault root cause, until the updated fault confidence set meets the confidence threshold, and outputs a structured device fault diagnosis report. The problems that the existing mine device fault diagnosis exists cross-monitoring system data island and relies on artificial experience, which leads to deviation of fault diagnosis and delay of diagnosis result feedback response are solved. The mine device fault diagnosis achieves a second-level response, completely eliminates the artificial experience blind area and cross-system data island, and greatly reduces the operation and maintenance cost.

The invention discloses a modeling method of an industrial data processing model based on natural language interaction and declarative language binding. The modeling method comprises the following steps: firstly, acquiring industrial data, then pre-training an interactive model, converting all step parameters and all specific configuration information of modeling required by the industrial data into declarative language commands through continuous interaction between the pre-trained interactive model and a user, and performing modeling on the industrial data according to the declarative language commands. The method comprises the steps that firstly, a declarative language command is sent to a modeling platform, then modeling is conducted on the modeling platform according to the declarative language command, then a modeled data model is trained, the trained data model is deployed according to the declarative language command, and the data model can be used after deployment is completed. The method has high automation and flexibility, the modeling process can be greatly simplified, the modeling efficiency is improved, and the sense of participation and operability of the user in the modeling process are enhanced.

The present invention discloses a GIS product standardization management system and method, which is integrated into a PLM data management platform, and integrates product standardization management behavior of engineering design with material and data creation behavior on the same platform; utilizes a standardization library management module to realize the establishment and storage of various types of forms in the standard library; the engineering design module retrieves the forms of the standard library and realizes the creation of a product BOM structure tree, thereby improving design efficiency and standardization; the standardization review module reviews the modules to be included in the engineering design process, thereby realizing the restriction of the standard library on engineering design; the standardization activity module realizes the continuous iteration of the standard library; the standardization KPI indicator module outputs standardization indicators after dynamic analysis based on the forms in the standard library and the engineering project BOM; can effectively evaluate the standardization management level of GIS products and the effect of standardization activities, and realizes the strong association, strong constraint and continuous interaction between various standardization activities and engineering design behaviors on the same platform.

The present invention relates to the technical field of game design, in particular to a virtual object interaction control method, a device, a computer-readable storage medium, and a computer program product. The method of the present invention comprises: a determination step: determining a first virtual object and a second virtual object that are to interact with each other; a reception step: receiving a first interaction value of the first virtual object for the second virtual object and a second interaction value of the second virtual object for the first virtual object; and a display step: on the basis of the first interaction value, displaying a corresponding first interaction effect on the second virtual object, and, on the basis of the second interaction value, displaying a corresponding second interaction effect on the first virtual object. According to the present invention, the performance of a server can be fully utilized, and a client can support high-frequency object interaction, thus the effect of mutual continuous interaction or turn-taking interaction between the two virtual objects can be reflected more simply and smoothly.

The application discloses a manufacturing system reconfiguration planning method based on deep reinforcement learning, and the implementation process of the method is as follows: analyzing an existing reconfigurable machine tool and a product to be processed to obtain a machine tool configuration set and a product feature set to be processed; a Markov decision process is used to model a manufacturing system reconfiguration planning problem, a Markov model of the reconfiguration planning is formed, a state space and an action space are determined according to the machine tool configuration set and the product feature set to be processed, and a reward function and a transition probability matrix are determined according to a determined optimization target; based on the Markov model of the reconfiguration planning, a neural network of a DQN algorithm is trained by using sample data obtained through continuous interaction between a reconfiguration planning intelligent agent and an environment; and the trained DQN network is used to input workpiece features, and an optimization scheme of the manufacturing system reconfiguration planning is quickly solved. The application can solve the manufacturing system reconfiguration planning problem.