Multi-machine collaboration framework based fast recorder and self-calibration and multi-machine collaboration method

Abstract

The invention discloses a multi-machine collaboration framework based fast recorder and a self-calibration and multi-machine collaboration method. The fast recorder comprises four signal conditioning modules, two slave computer microprocessor control unit (MCU) modules, a dual-port random access memory (RAM) module, a host computer microprocessor control unit (MCU) module, a synchronous dynamic random access memory (SDRAM) module, a reference voltage source module, a universal serial bus (USB) interface and a display module. The two host computer MCU modules, the dual-port RAM module and the host computer MCU module constitutes a multi-machine collaboration framework of the recorder, two analog-digital converters are integrated in each slave computer MCU chip, and AD synchronous sampling clock signals are supplied to the four ADCs of two slave computers by an idle counter / timer of a host computer; by means of the multi-machine collaboration framework, the sequential serial operations of sampling, caching, transfer, storage, correction, display, upload or unloading and the like is converted into synchronous efficient parallel operations; sampling data is corrected on line according to a self-calibration polynomial generated off line, and the precision of the recorder is improved; and an input terminal of the recorder adopts analog and digital dual-filtering technology and then is combined with photoelectric isolation USB communication of an output terminal, so that the fast recorder has an excellent anti-jamming performance.

Description

technical field [0001] The invention relates to the technical category of recorders for signal sampling, processing and storage in the field of manufacturing / process industries, and in particular to a fast recorder based on a multi-machine collaborative architecture and self-calibration and multi-machine collaborative methods. Background technique [0002] In the field of manufacturing / process industry, the collection, processing, recording and analysis of on-site data are the prerequisites for the implementation of enterprise comprehensive automation and the production of high-quality products. At present, the leading hardware platform of recorders in process industry equipment still follows the MCU (ARM or 51 microprocessor) single-chip architecture, and its sampling cycle index is positioned at "second level": for example, the sampling cycle of AR3000 and AR6000 series recorders of Zhejiang Zhongkong Company 1S, and the recorders AR3100 and AR4100 with the smallest sampl...

AI Technical Summary

Problems solved by technology

First of all, it is difficult for industrial sites to meet the environmental requirements of high-sampling frequency recorders; secondly, the sampling frequency used in the test is at the lower limit of the frequency range of high-sampling frequency recorders, and the test error theory points out that the detection accuracy near the lower limit of sampling frequency is difficult Guarantee; finally, given the high cost of high sampling rate recorders, hardware architecture is very different from the manufacturing / process industry, there are difficult maintenance, high total cost of ownership (TCO); therefore, there is an urgent need to develop fast Logger

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