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Rockburst prediction system and measurement method based on stm32f103 microprocessor

A prediction system and microprocessor technology, applied in special data processing applications, design optimization/simulation, etc., can solve problems such as errors or errors, achieve comprehensive information processing, good real-time performance, and improve reliability and practicability

Inactive Publication Date: 2020-03-10
EAST CHINA JIAOTONG UNIVERSITY
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  • Claims
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Problems solved by technology

The above-mentioned patents all measure the quality of the rock mass unilaterally, which will lead to errors or erroneous conclusions due to lack of consideration of other relevant factors

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  • Rockburst prediction system and measurement method based on stm32f103 microprocessor
  • Rockburst prediction system and measurement method based on stm32f103 microprocessor
  • Rockburst prediction system and measurement method based on stm32f103 microprocessor

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Embodiment Construction

[0019] The specific embodiments of the present invention will be described in detail below, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

[0020] Unless otherwise expressly stated otherwise, throughout the specification and claims, the term "comprising" or its transformations such as "including" or "including" will be understood to include the stated elements or components, and not Other elements or other components are not excluded.

[0021] A measurement method of rockburst prediction system based on STM32F103 microprocessor, its steps are:

[0022] (1) The ultrasonic sensor in the data acquisition module collects the intensity information of the rock mass. When the ultrasonic wave is emitted from one part of the rock mass and the sound wave is received from the other part, the sound wave can be measured from the transmitting transducer to the receiving transducer. The required time is calculated through...

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Abstract

The invention discloses a rockburst prediction system and a measurement method based on an STM32F103 microprocessor. The data acquisition module is distributed in different parts of the rock mass, and is used to collect relevant parameter information of the rock mass. The collected data is stored in the extended RAM through the IIC bus, and the STM32F103 data processing module extracts the data in the extended RAM, and the The model performs centralized calculation, analysis and processing on the data, and the storage module stores various historical data after processing; the data export module exports the historical data in the storage module in the form of an Excel file; the touch screen display shows rockburst prediction level and change curve, the early warning signal generator sends out an early warning signal. The invention improves the reliability and practicability in rock mass measurement, and has good popularization value.

Description

Technical field: [0001] The invention belongs to the technical field of intelligent rockburst prediction, and particularly relates to a rockburst prediction system and a measurement method based on an STM32F103 microprocessor. Background technique: [0002] With the continuous development of the mining industry, mining operations continue to be carried out underground. Many mines have entered deep mining. Rock burst accidents have occurred from time to time. It directly threatens the safety of construction personnel and equipment and affects the progress of the project. This makes construction personnel work underground. At times, there are greater security risks. In recent decades, a lot of research work has been done on rockburst prediction and prediction at home and abroad. However, due to the extremely complex problems of rockburst prediction, there are no mature theories and methods at home and abroad. At present, people have analyzed the rockburst phenomenon in terms of st...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/367
Inventor 刘永胜
Owner EAST CHINA JIAOTONG UNIVERSITY
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