Double-front-split-platform type industrial internet of things and control method thereof

Abstract

The invention discloses a double-front-split-platform type industrial internet of things and a control method, and belongs to the field of intelligent manufacturing. The industrial internet of things comprises a user platform, a service platform, a management platform, a sensing network platform and an object platform which are interacted in sequence; the service platform is arranged in a centralized mode, and the management platform and the sensing network platform are arranged in a front-divided platform mode. The control method is applied to the industrial Internet of Things. In order to coordinate product manufacturing parameters of all production line equipment, a sensing network platform and a management platform are arranged in a front sub-platform manner, data are uniformly sorted, received and transmitted through a main platform, and different sub-platforms are used as data processing or transmission channels of different production line equipment, so that a large amount of data are stored and processed in a classified manner; the overall data processing amount and calculation pressure of the platform are reduced, data are processed on the sensing network platform, and safe and rapid product manufacturing control and data receiving and transmitting are achieved.

Description

technical field [0001] The invention relates to intelligent manufacturing technology, in particular to a dual-front sub-platform industrial internet of things and a control method. Background technique [0002] In the field of product intelligent manufacturing, the intelligent product production line involves multiple intelligent manufacturing equipment, and multiple intelligent manufacturing equipment is set up in sequence according to the upstream and downstream relationship, and the parts, components or products to be manufactured are assembled in sequence to form products. In the existing technology, because the upstream and downstream intelligent manufacturing equipment needs to comprehensively consider the unit product manufacturing volume of each intelligent manufacturing equipment, for example, when the mass production time per unit time of the upstream equipment is five, the production volume per unit time of the downstream equipment is the lowest. It is better to h...

AI Technical Summary

Problems solved by technology

In the existing technology, because the upstream and downstream intelligent manufacturing equipment needs to comprehensively consider the unit product manufacturing volume of each intelligent manufacturing equipment, for example, when the mass production time per unit time of the upstream equipment is five, the production volume per unit time of the downstream equipment is the lowest. It is better to have at least five sets, so as to avoid the accumulation of workpieces manufactured by the upstream equipment to the downstream equipment that cannot be digested in time. If the production volume of the downstream equipment per unit time is less than five sets, it will cause the upstream equipment to suspend operations (generally it will not be shut down, because it will be shut down and restarted , some equipment consumes a lot of energy, takes a long time, and needs to be preheated, pre-regulated, etc., and the cost and working hours are long), and the downstream equipment can only work again after the production of the accumulated workpieces is completed, resulting in a large amount of idle time for the upstream equipment. When the upstream equipment stops working, the upstream and upstream equipment must also make corresponding adjustments, resulting in adjustments in the production volume of the entire production line, which affects the progress and orderly coordination of the entire process.

[0003] In practical applications, when the specified production volume of the product cannot be completed within the specified time, it is generally necessary to increase the manufacturing volume of workpieces in each link, which requires consideration of how to adjust the overall without exceeding the maximum production capacity of the equipment in each link. Due to the complex manufacturing process of accessories, parts, components and other structures required by the product, which involves the overall coordination of different workshops, different processes and different equipment, the amount of data involved is huge and there are many types of data. The existing Internet of Things Such a complex and cumbersome application environment and data processing cannot be satisfied. As a result, in the existing technology, the assembly line can only be divided into several small partitions according to the workshop, process or different component processing positions for control respectively, and the overall coordination cannot be achieved. It is impossible to regulate and manage the output of all production equipment of the product as a whole

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