| As the primary infrastructure of intelligent factories,the Internet of Things not only ensures the timely interaction of data between people and equipment and equipment and equipment,but also manages and dispatches information in the process of factory floor processing through real-time data.Adapt to different processing products to automatically adjust its processing plan.As an important part of the workshop processing,the intelligent management and use of the cutting tool is an important basis for the automation and digitization of the intelligent factory.Therefore,how to realize the intelligence of the factory through the effective management of the cutting tool resources,how to realize the intelligent production scheduling of the workshop through the real-time data obtained by the Internet of Things is the key to occupy the core position in the increasingly fierce manufacturing market.This paper realizes the intelligentization of workshop processing by improving the layered Bayesian scheduling algorithm,establishing the IoT network of RFID and Zigbee technology,and realizing the cutting tool coding and cutting tool intelligent online management system.The main achievements of the research are as follows:1)Through the research of the domestic and foreign cutting tool management system,it is found that the cutting tool management still has the problems of management chaos,low tool utilization,single function,and inaccurate cutting tool resource prediction,and proposes to carry out the cutting tool intelligent online management system through the IoT Improved solution.2)Through the classification of the cutting tool and the collection of basic cutting tool resource information,and research on a variety of coding schemes,a flexible,readily expandable,and perfect 28-bit code cutting tool coding scheme is proposed and adopted.Dynamic code is added to record the wear status and life of the tool in real time.3)Through the research of RFID technology and Zigbee,an IoT solution using Zig Bee technology and RFID technology to build a wireless sensor network is proposed.An electronic label is attached to the cutting tool,and an electronic tag reader is installed at a key part of the machine cutting tool to realize the transmission of information between the cutting tool management system and the cutting tool electronic tag during the machining process,ensuring the entire process from cutting tool storage to scrapping.Detection and management.4)Through the research of various algorithms,a scheduling scheme based on improved Bayesian algorithm is proposed.Through the layered Bayesian network,the collaborative optimization of process and cutting tool is completed,and the workshop history operation plan is used as the initial population to construct.Corresponding Bayesian network model.After using the scheduling scheme,the fit between the original workshop processing steps and the work steps can be effectively increased,and the global approximate optimal solution suitable for the corresponding workshop processing can be obtained more quickly.5)The overall design of the cutting tool management system is realized by developing the seven modules of system user management,cutting tool resource management,cutting tool management,cutting tool operation record,system menu,system setting and system monitoring module in the cutting tool intelligent online management system.The cutting tool is intelligently managed from inbound coding to online management.Therefore,it is necessary to establish a perfect cutting tool intelligent online management system that can obtain tool data in real time through the IoT link and intelligently process different machining tasks from the obtained tool data,and can manage the whole life cycle of the tool.The production cost of the enterprise,the productivity of the workshop,the automation of the workshop,and the important measures of the development direction of China’s manufacturing industry in response to the “Made in China 2025”. |