Production equipment data acquisition apparatus and method for smart factory

Abstract

The invention relates to a production equipment data acquisition apparatus for a smart factory. The production equipment data acquisition apparatus includes a camera, an AD sampling circuit, a microprocessor and a radio frequency transmission circuit, wherein the camera is used for acquiring the displayed images of an equipment meter or a display; the AD sampling circuit is used for converting analog signals into digital signals; the microprocessor is used for processing and analyzing the images of the meter or the display; the radio frequency transmission circuit is used for uploading the analyzed data to a server background system; and after the CMOS camera acquires the images of a meter panel or a display screen, the images are processed and analyzed, and the analyzed data is uploaded to the server background system through the radio frequency transmission circuit. The data acquisition apparatus can accurately acquire the data information displayed by old-fashioned equipment with a meter panel or novel equipment with a display screen and transmit the data information to the background system, and does not need to decode and analyze different interfaces and protocols of different pieces of equipment and also does not need to mount a sensor in production equipment while the sensor may influence normal operation of the production equipment. Therefore, the production equipment data acquisition apparatus for a smart factory has the advantages of being wide in adaptability, being simple and convenient for installation, and being lower in deployment difficulty and cost, compared with the original technology.

Description

technical field [0001] The invention relates to the technical field of data collection, in particular to a data collection device and method for production equipment in an intelligent factory. Background technique [0002] In the blueprint of Industry 4.0, the cyber-physical network (CPS) that connects everything is the basis for realizing smart factories and smart production, and CPS will continuously obtain all production equipment, sensing equipment, and networked terminals, including the data generated by the producers themselves. These data will permeate the entire life cycle of enterprise operations, value chains and even products, and are the cornerstone of Industry 4.0 and the manufacturing revolution. [0003] However, the CPS network model is only an ideal reference architecture, and the CPS network model does not provide the technical implementation methods and paths to solve the connectivity problems between heterogeneous systems and devices. For example, the pr...

AI Technical Summary

Problems solved by technology

This method is suitable for both old and new production equipment, but it has the following defects: First, because the sensor is installed, the acquired parameters may be inconsistent with the parameters displayed by the equipment itself

This method is only suitable for new-type production equipment, and another defect is that collecting data in this way will face a variety of physical interfaces and communication protocols. For each protocol, its data format must be analyzed. Some may not be analyzed, and some may even be encrypted so that they cannot be collected

[0007] The above two commonly used data acquisition systems often use wired networks to transmit the data collected on the device side to the server background system. For large factories with many devices and densely placed, deploying these systems often requires high construction difficulty and network construction costs.

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