A method and device for automatic perception of machine data model evolution

Abstract

The invention discloses a machine data model evolution automatic perception method and device; the method comprises the following steps: carrying out conflict detection between each machine data message in a machine data sequence generated in the first operation period of a machine instance and the machine model directed by the machine instance, thus obtaining a conflict multiset between the machine data and the machine data model; generating a conflict primitive set; generating a real machine data model presently corresponding to the machine; if the real machine data model presently corresponding to the machine exists in the present machine data model database, carrying out model transition for the machine instance, deleting conflict records corresponding to the machine instance from conflict instance statistics, and finishing the detection; if not, updating the conflict primitive set corresponding to the machine instance, and entering the next step; if the number of the conflict instances matched with the real machine data model presently corresponding to present machine is bigger than or equal to a conflict instance number threshold, carrying out model derivation for the machine instance, and finishing the detection.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and in particular relates to an automatic sensing method and device for machine data model evolution. Background technique [0002] The machine data model plays an irreplaceable role in machine data processing, and is the basis for machine data transmission, analysis, storage and analysis. After the machine data acquires the sensor data, its microprocessor organizes the data in the form of a data model and transmits it. After the server receives the data, it stores it in the form of the machine data model. Finally, data is extracted in the form of a machine data model and analyzed accordingly. [0003] With the continuous development of random technology, the microcontroller control software of the current machine itself can be upgraded or downgraded, and the machine itself can also be modified. These behaviors may lead to changes in the machine data model, which leads to the ev...

AI Technical Summary

Problems solved by technology

[0004] The manual processing of the evolution of the machine data model has the following disadvantages: 1) Manual detection and analysis of the evolution of the machine data model requires a very large workload, which will greatly increase the operating costs of the enterprise; 2) manual processing has serious lag, May lead to a large amount of data that does not match the model, which is difficult to reuse and process

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