Operation method and system of a distributed data acquisition system

Abstract

The invention discloses an operation method and system of a distributed data acquisition system, including setting a corresponding number of acquisition units according to task requirements and arranging the acquisition units in the same local area network; The acquisition unit performs distributed acquisition parameter configuration / synchronous acquisition parameter configuration; the acquisition unit executes the distributed acquisition task / synchronous acquisition task according to the configuration information of the distributed acquisition parameter configuration / synchronous acquisition parameter configuration, and obtains the corresponding acquisition data result; Access the background management service of the collection unit, query the data collection results of the collection unit, and call the upper-level business system to analyze and process the data collection results. The invention satisfies the real-time performance, reliability and effective utilization of resources of the distributed data collection system. requirements, improving system stability.

Description

[0001] Related application references: [0002] According to Article 29 of the Patent Law, this application claims the priority of the invention patent application (a method for operating a distributed data acquisition system, application number 202111419852.0) submitted to the State Intellectual Property Office on November 26, 2021, The contents of this application are based herein and are hereby incorporated by reference in their entirety. technical field [0003] The invention belongs to the technical field of data analysis and processing, and in particular relates to an operation method and system of a distributed data acquisition system. Background technique [0004] Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools within an affordable time frame. The 21st century is the era of big data, and high-value sample data is statistics, deep learning and many other application technologies. A stable and effic...

AI Technical Summary

Problems solved by technology

[0007] 1. In the existing data acquisition system, in order to improve resource utilization and meet the acquisition reliability of important tasks in the acquisition tasks, it is often only backed up for the acquisition tasks corresponding to some important data in the acquisition tasks, and the acquisition tasks are complex The performance configuration of the data acquisition equipment is also different due to the different degrees, and the load balancing of each acquisition unit cannot be achieved, which is easy to cause waste of acquisition resources

[0008] 2. The overall stability of the system is poor, and a single point of failure will affect the failure of the corresponding collection task, resulting in the loss of upper-level business system data, damage to the hardware of the data collection unit or system crash. If it is not backed up to a stable network location in time, it will cause system failure. The loss of configuration makes the task of operation and maintenance repair difficult

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