A method and system for converging industrial data
A technology of industrial data and data, which is applied in general control system, control/regulation system, digital control, etc., can solve the problems that the server cannot be completed, data twin data synchronization, etc., achieve high engineering practical value, and reduce the time for hot learning , Make full use of bandwidth resources
Active Publication Date: 2022-04-08
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology
[0005] In view of the defects of the prior art, the purpose of the present invention is to provide an industrial data aggregation method and system, which aims to solve the problem that the server cannot complete the data synchronization of the data twins when the existing numerical control system has a large network load
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[0092] The concrete principle of the present invention is as follows:
[0093] During the machining operation of the CNC system, the characteristics of the frequency of data change are as follows: (1) The attribute data is basically fixed; (2) The parameter data and task data change frequency is not high; (3) The specific event attribute of the control data is not fixed; the change period is not fixed; (4) Status data changes most frequently. The present invention proposes the concept of "data hotness" as a reference for the synchronization priority of data points. Data hotness refers to the change activity of a data point among all synchronized data points. In an ideal case, the data heat formula is as follows:
[0094]
[0095] where h i is the data heat; f i Indicates the change frequency of the data point; Δt i Indicates the time interval of data points; i is the data index.
[0096] In the actual production and processing process, considering the large number of ...
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The invention provides an industrial data aggregation method and system, belonging to the technical field of industrial big data. An industrial data aggregation method, including: when the difference between the time interval between the arrival of two adjacent sampling data and the data upload cycle exceeds the congestion threshold, based on the current working conditions, using random numbers to determine the collected data in the sampling probability model point; upload the collected data point; among them, the sampling probability model is established based on the data heat of the data point; the data heat is the ratio between the change frequency of a single data point and the sum of the change frequency of all data points; data The point change frequency is the ratio between the number of data point changes and the number of data point synchronizations. The invention takes into account the requirements of high-frequency synchronization of hot data and low-frequency synchronization of cold data, can well control the consumption of network bandwidth by the digital twin under the condition of a given upper limit of network traffic, and has high engineering practical value.
Description
technical field [0001] The invention belongs to the technical field of industrial big data, and more particularly, relates to an industrial data aggregation method and system. Background technique [0002] With the development of intelligent manufacturing, CNC machine tools are the main production equipment, and its digitization, networking and intelligence have become an important support for industrial transformation and upgrading. [0003] The digital twin of CNC machine tools is the digital expression and modeling technology of CNC machine tools, and it is the focus of long-term research in the field of CNC machining. In the process of data collection of CNC machine tools, there is a lack of efficient and fast data lightweight algorithms, which cannot meet the needs of massive big data aggregation of digital twins. In practical work, there are often two extremes. One extreme is that feature extraction is performed at the edge, and a large amount of useful information is...
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IPC IPC(8): G05B19/19
CPCG05B19/19G05B2219/35349
Inventor 代超仁陈吉红杨建中冯冰艳晏嫚王萧陈震
Owner HUAZHONG UNIV OF SCI & TECH