Cloud platform data management system and management method based on industrial big data

Abstract

The embodiment of the invention discloses a cloud platform data management system and a cloud platform data management method based on industrial big data in industrial management. The system comprises a data classification module, a data analysis module, a prediction data output module, a purchase management module, an equipment loss prediction module, a loss evaluation module and a remote alarmmodule, wherein the data classification module is used for collecting product marketing data and carrying out periodic classification on the marketing data. According to the invention, product marketing data are collected, graphs are drawn periodically in a classified mode, prediction data are inquired according to the graph data, and confirmation management of suppliers is conducted on purchasedraw materials, so that it can be ensured that the raw materials are sufficient during prediction data processing; and through inquiry of equipment residual losses, machining strategies can be conveniently adjusted in time, or equipment can be conveniently replaced and maintained for machining production, safety indexes during machining are guaranteed, and the machining quality of products is guaranteed.

Description

Technical field[0001]Embodiments of the present invention relate to industrial management, in particular to a cloud platform data management system and management method based on industrial major data.Background technique[0002]Industrial data is a combination of Internet, big data, and industrial industries, while inversion to industrial upgrading. For manufacturing, understanding the background of industry data, summarizing the classification and characteristics of industry data, promoting the perspective of the value creation of its own value, reinforcing industrial value processes, will have practical significance.[0003]Existing industrial equipment is often quantitatively processed according to the order quantity, but when there is a sales season or sales off season, the processing products may have no supply or product remaining phenomenon, and it is impossible to achieve the industry. The prediction and management of data, resulting in blindness in industrial production.[0004]...

AI Technical Summary

Problems solved by technology

[0003] In the process of product processing, existing industrial equipment often performs quantitative processing according to the order quantity. However, when there is a peak sales season or an off-season, the processed products may be in short supply or have surplus products, which cannot be well realized. Large-scale industrial production The forecasting and management of data lead to blindness in industrial production

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