A distributed research and judgment system, method, computer storage medium, and electronic equipment

Abstract

A distributed research and judgment system, method, computer storage medium, and electronic equipment, including: a business management platform, a data storage device, a message middleware, and an execution node, the data storage device includes a first storage device and a second storage device, and the first The storage device pre-stores the relevant information of the monitored subject, and the second storage device stores the task assignment message queue and the task feedback message queue; the business management platform receives the relevant information of the research and judgment object and generates the research and judgment task package of the research and judgment object; passes the research and judgment task package through The message middleware sends to the task dispatch message queue; the execution node obtains the research and judgment task of the research and judgment object from the task dispatch message queue, obtains data from the first storage device according to the task requirements to execute the research and judgment task, and sends the research and judgment result to the task feedback message queue; The business management platform obtains the research and judgment results from the task feedback message queue. This application can be customized according to actual needs, greatly reducing the difficulty of development.

Description

technical field [0001] The present application relates to technology, in particular, to a distributed research and judgment system, method, computer storage medium, and electronic equipment. Background technique [0002] With the continuous integration of technologies such as the Internet of Things, social networks, and cloud computing into our lives and the rapid development of existing computing power, storage space, and network broadband, the data accumulated by humans is constantly being used in many fields such as the Internet, communications, finance, commerce, and medical care. increase. All walks of life generate a huge amount of data every day. Through data mining and analysis of the data, valuable information hidden in it can be extracted from the massive data, so that this information can be applied to real business to improve production efficiency. optimization management, etc. In order to complete an overall business and realize data from information to knowle...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing data analysis and judgment systems are based on relational databases and open-source Spark, HBase, or Hive technical architectures. Although the open-source architecture is powerful, its structure is complex, and there are often high technical barriers to custom development of functions.

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