Data sampling method and sampling system

Abstract

The invention discloses a data sampling method. The data sampling method includes the following steps that: S1, data are sampled through a sensor, so that sampling data can be obtained; S2, the sampling data are sent to a first processing unit, so that the first processing unit can carry out calculation to obtain a first result, at the same time, the sampling data is sent to a second processing unit, so that the second processing unit can carry out calculation to obtain a second result, the first processing unit and the second processing unit carry out the same calculation processing on the sampling data; and S3, whether the first result and the second result are identical is verified, if the first result and the second result are identical, the first result is correctly outputted to a communication bus. The invention also discloses a corresponding sampling system. The sampling system comprises a sensor, an A / D conversion unit and a calibration output module which are connected with one another sequentially. The data sampling method and the sampling system of the invention can verify results, automatically identify wrong data and ensure the safety and correctness of output data. The data sampling method and the sampling system of the invention have the advantages of multi-redundancy performance, high stability, flexibility in expansion, convenience and high integration.

Description

technical field [0001] The invention relates to the field of data sampling and processing, in particular to a data sampling method and a sampling system. Background technique [0002] At present, the signal acquisition system usually adopts three steps: sensor acquisition, signal isolation sampling, and sending to the CPU for processing. This method is simple and intuitive. Such as figure 1 As shown, each device (device A, device B, ..., device X) in the signal acquisition system has its own signal sensor installed separately, and the signal is collected and processed separately; when a new device in the system needs to use the signal , the signal sensor needs to be reinstalled. Therefore, there are the following problems: 1. There is no redundancy in signal collection, and the correctness of the collected signals cannot be guaranteed. This method cannot be used in application occasions with safety requirements for signal collection. 2. When multiple devices in the system...

AI Technical Summary

Problems solved by technology

Therefore, there are the following problems: 1. There is no redundancy in signal acquisition, and the correctness of the collected signal cannot be guaranteed. This method cannot be used in applications with safety requirements for signal acquisition.

2. When multiple devices in the system need to be collected, each device must be equipped with a separate signal sensor and signal acquisition circuit, which is costly and takes up a lot of space. When the installation space is limited, the signal cannot be extended to other devices. , poor scalability

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