The “purification” and modeling of multi-agent monitoring system for industrial textiles
Source abstract
Abstract
To improve the quality of industrial textile products and ensure the accuracy of the real-time collected textile production data, we first proposed a new data fitting method, which uses the integral and differential quotient operator to obtain the basic spline function and B-spline curve by operator deduction, and then used high-order approximation method for differential operator to get the precise spline fitting function. Second, a multi-agent network-monitoring system model was built, and its work principle, main function, collaborative process, and scheduling algorithm were introduced. The application results show that the proposed data fitting method is optimum and the results are accurate. Furthermore, the system structure model based on multi-agent meets the requirements of quality control of industrial textiles.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Computing and Algorithms · Graph Theory and Algorithms · Metaheuristic Optimization Algorithms Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Management, Xi'an Polytechnic University, Xi'an, China
School of Information Engineering, Chang’an University, Xi’an, China
References (31)
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