An online moisture detection device and method for a bulk material

Abstract

The invention provides an online moisture detection device for a bulk material. The device is characterized in that: the device includes an annular channel in the form of a closed loop, the annular channel is divided into a first section (L1), a second section (L2), a third section (L3), and a fourth section (L4); the annular channel is composed of an annular cover body (A) and an annular bottom plate (B), the annular bottom plate (B) is connected with a driving device (C) through a support bar (B1), multiple through holes (B2) are arranged along the circumference of the annular bottom plate (B) and multiple charging containers (2) are correspondingly placed on these through holes (B2), wherein the first section (L1) is a charging area, the second section (L2) is a microwave drying area, the third section (L3) is a detection area, and the fourth section (L4) is a discharge area. The moisture of different types of the bulk material can be detected in real time, rapidly, online and accurately, the measurement precision can reach the moisture measurement precision of a manual sampling, drying and weighting method, and the existing problem is solved in a large degree.

Description

technical field [0001] The invention relates to the field of material moisture detection, in particular to an on-line moisture detection device for bulk materials and a detection method thereof. Background technique [0002] In the metallurgical industry, it is first necessary to accurately detect the moisture in the incoming material, and then control the amount of water added to the material according to the moisture detection value, so that the moisture content of the material can be kept within a reasonable range in the subsequent process. The real-time detection of material moisture has a great impact on the output quality and energy consumption indicators of the final product. Only by quickly and accurately detecting the moisture content of the material can precise control be achieved, and it can greatly reduce manual labor and improve production efficiency. It can be seen that the rapid detection and analysis of the original incoming material moisture and the realizat...

AI Technical Summary

Problems solved by technology

However, this technology can only be used for offline detection in the laboratory, and it is mainly aimed at the drying of large particle materials, which cannot meet the needs of online rapid detection

[0005] In the metallurgical industry, moisture detection of raw materials is often required. For example, due to the short change cycle of incoming materials during sintering production, fluctuations in physical and chemical properties such as moisture will have a very bad impact on subsequent sintering production. Therefore, rapid detection of incoming materials is required. Analysis to guide production, especially for materials such as raw iron ore powder, coke powder and coal powder, the moisture content of incoming materials needs to be tested every time a batch is changed. At present, the method used to detect the moisture content of materials is mainly manual sampling, which is sent to The laboratory conducts detection and analysis. Moisture detection is mainly based on drying and weighing methods. Infrared and microwave moisture meters can also be used for online detection, but the measurement is not accurate and the precision is not high.

In addition, the time required for manual sampling, detection and analysis is long and the labor cost is high

With the increasing requirements of the metallurgical industry for the level of production automation and the further strengthening of the concept of intelligent manufacturing, manual sampling to detect the moisture content of materials can no longer meet the needs of high-yield, high-efficiency and high-automation production

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