4 results about "Artificial systems" patented technology

The invention discloses a multi-agent-based enterprise operation automatic control system and method, and relates to the technical field of enterprise operation management and artificial intelligence. The system comprises a data modeling and storage layer, a data acquisition and perception layer, a multi-agent operation brain layer and an execution and feedback layer. The data modeling and storage layer constructs a unified operation data model containing three core entities of Item, Actor and Event; the data acquisition and sensing layer acquires heterogeneous data and converts the heterogeneous data into standard Event; the multi-agent operation brain layer generates a global optimal decision set through parallel decision making of a plurality of service agents and overall planning and optimal selection of coordination agents; and the execution and feedback layer converts the decision into a standardized instruction adaptive to manpower, a system and a robot to realize execution and adaptive optimization. According to the invention, multi-industry adaptation, automatic decision making and full-link closed loop are realized, the future robot operation form is supported, and the enterprise operation cost is reduced.

This application provides a method for controlling the adhesive amount of corrugated cardboard based on industrial artificial system optimization, comprising: acquiring adhesive amount data and coating thickness data of coating equipment; processing the adhesive amount data and coating thickness data using a machine learning algorithm to obtain adhesive amount control parameters and thickness optimization parameters; acquiring real-time monitoring signals from the optimized equipment configuration; transmitting the real-time monitoring signals for environmental factors during the substrate coating process to obtain environmental data; analyzing the environmental data using a machine learning algorithm to determine the relationship between humidity adjustment requirements and temperature control requirements; if the humidity adjustment requirement is higher than the temperature control requirement, prioritizing the determination of a humidity adjustment command; acquiring the current humidity value according to the humidity adjustment command; optimizing the adjustment path using an evolutionary algorithm to obtain a supplementary temperature control command; acquiring micro-control updates from the final adjustment scheme and transmitting them to an intelligent optimization network to obtain an overall operation optimization result.

A construction method of a derrick parallel control digital twinning system comprises the steps that S1, a digital twinning geometric model of a derrick is constructed based on derrick work site and derrick structure data, a knowledge graph of the derrick is constructed based on data related to the derrick, and the knowledge graph and the digital twinning geometric model of the derrick are fused to deduce a construction planning process scheme; s2, on the basis of the digital twinborn geometric model of the derrick, simulation of derrick operation is carried out according to different working conditions, an intelligent derrick parallel controller is constructed, intelligent prediction is carried out on the basis of a simulation result by using an extreme random tree algorithm in combination with a Donglong optimization algorithm, and a multi-target optimization solution model is constructed; and S3, integrating the multi-target optimization solution model into a derrick parallel controller, and realizing parallel control of the derrick by taking a construction planning process as a target. The deduction result of the design serves as a control target of a physical system, parallel control of the physical system and an artificial system is achieved, and then digital management and control of power grid tower building construction are achieved.

Artificial material systems that seek to mimic the basic processes of life must perform multiple complex functions including responsiveness, motion, and metabolism. Networks of programmable materials offer a pathway toward achieving these functions by altering local chemical, physical, and structural properties to enable control. We demonstrate the ability to perform multiple complex functions in a single soft elastomeric material system by reconfiguring, in situ, passive bistable fluidic diodes that are inspired by mammalian venous valves. We show how pneumo-mechanical programmability allows these silicone elastomer diode assemblies to accomplish, without rearranging the fluidic circuit, multiple functions including pumping (motion), energy storage / discharge (metabolism), logic operations (response), and signal filtering / rectification. The ability to achieve multiple functions through in situ programming may lead to the development of efficient artificial systems capable of complex functions in compact, remote applications.