A sensor-integrated flow water detection device and its detection process

Abstract

The invention discloses an integrated sensor flow line detection device and a detection process thereof which are used for detecting the performances of temperature and humidity sensors. The device comprises a detection channel, a conveying carrier used for conveying samples to be detected and a conveying rail driving the conveying carrier to move in the detection channel; the conveying carrier is provided with ideal samples and samples to be detected, the two varieties of samples sense the temperature and humidity of the detection channel simultaneously and output sensing results to an external data processor, and the external data processor compares the two sensing results of the samples and judges whether the samples are qualified or not. Thus, the technical problem of the traditional detection process is solved well, the workload is small, the detecting efficiency is high, the detection result error is small, and the flow line operation requirements can be met well.

Description

technical field [0001] The invention relates to the mechanical field, in particular to a sensor-integrated flow detection device and a detection process thereof. Background technique [0002] The temperature and humidity sensor is a component that can convert temperature and humidity into electrical signals that can be easily measured and processed. It is widely used in food and drug industries, animal and plant breeding industries, and industrial control industries. In the production process of temperature and humidity sensors, it is necessary to test the finished temperature and humidity sensors to ensure that each temperature and humidity sensor has good performance. [0003] The traditional detection method includes the following steps: (1) Set a stable and uniform environment with adjustable temperature and humidity; (2) Place the sample to be tested in this environment, and wait for the sample to be tested to feel the temperature of the environment and humidity, recor...

AI Technical Summary

Problems solved by technology

[0004] The traditional detection method has the following disadvantages: the detection efficiency is very low, a large number of workers are required to record data and replace the samples to be tested, and the data needs to be analyzed at the same time, which requires a large workload; it takes a long time for the samples to be placed in the environment to feel the ambient temperature Time-consuming and labor-intensive; the uniformity of heat and moisture (humidity) distribution in the environment is high, and there are large errors in the detection results; in addition, this traditional detection method cannot be applied to assembly line production, and the degree of automation is low

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