KPI-based fan manufacturing process-oriented comprehensive quality checking system

Abstract

The invention belongs to the field of a big data technology and enterprise performance management, and particularly relates to a KPI-based fan manufacturing process-oriented comprehensive quality checking system. In order to solve the problems of defects in quality monitoring management and low system query and response speeds under a big data condition, the invention provides the KPI-based fan manufacturing process-oriented comprehensive quality checking system. The system comprises a functional module, a KPI, a KPI analysis module, a database, a client and a server. The system adopts a B / S mode-based three-layer system structure; the KPI is fused in a flow transfer process by depending on fan manufacturing process flow; a complete set of related quality checking indicator system is established according to actual working conditions of all departments in a fan manufacturing quality monitoring process; a flow calculation architecture is designed according to characteristics of the manufacturing process through the system; and query optimization is performed by using a database caching technology, so that the system query speed and the system response speed are increased.

Description

technical field [0001] The invention belongs to the field of big data technology and enterprise performance management, and in particular relates to a KPI-based comprehensive quality assessment system for fan manufacturing process. Background technique [0002] In recent years, under the influence of the domestic environment, Chinese enterprises are facing more and more competitive pressure. If they want to survive and develop in the competition, they must master the concepts and skills of modern enterprise management, and improve their own core through management. Competitiveness. Performance management is an important means to measure an enterprise's operating indicators. Therefore, establishing a sound and reasonable performance management system has an important impact on the success or failure of an enterprise. KPI, also known as key performance indicators, is a goal-based quantitative indicator for measuring process performance. KPI analysis can be used to clarify t...

AI Technical Summary

Problems solved by technology

However, this traditional static information processing mode has many restrictions on the storage performance of the database and the running time of data capture. When faced with massive data, the processing capacity of this mode appears to be stretched. The main performance is as follows Several aspects: ① A large amount of data is stored in the database, and some data are only valuable at the moment, resulting in huge database overhead; ② The database management system itself does not support information in the order of storage, and the real-time response capability is poor. When multi-table queries are performed between tuples in complex relationships, the requirements for time-consuming and database stability are higher; ③The database itself does not support approximate queries or computational queries

For wind turbine manufacturing enterprises, due to the extremely large data information flow generated in the manufacturing process, especially in performance management, the system is required to respond in real time according to the change of data flow. However, the existing static data processing mode will generate large In view of the above problems, the present invention proposes the use of stream computing. The processing mode of stream computing on data streams is different from traditional data processing methods. The main differences are as follows: (1) The data streams flowing into the system are real-time, real-time Analyze and give results in real time; (2) Data streams are generated and inflowed infinitely and continuously; (3) The processing of data streams is one-time, which is different from static storage and reprocessing, but dynamic on-the-go Handle anytime

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