Self-similarity silt particle size identifying system
A sediment particle and identification system technology, applied in the interdisciplinary field, can solve problems such as large-scale sampling, high cost, rarely using digital image processing, decision-making identification, etc.
Inactive Publication Date: 2013-03-06
JIANGSU ZHENGYUAN INFORMATION TECH
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Problems solved by technology
[0011] 1. First of all, destructive use of sediment is required. For example, using a shovel to excavate the required sediment will have two disadvantages. One is to damage the environment, and the other is that the excavation process is easy to cause accidents.
[0012] 2. Sampling cannot be carried out on a large scale, and the cost is expensive
[0013] 3. No data fusion method is used for sediment particle identification, and technologies such as digital image processing and decision-making identification are rarely used
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[0035] The overall structure of the system is shown in figure 1 shown. The overall function of the system is divided into three parts: 1. Image acquisition; 2. Image preprocessing; 3. Recognition of the size of sediment particles.
[0036] In the process of image collection, experts in the field generally decide the sample points and range to be collected. Due to the use of digital photography, the cost is very low, so a large number of samples can be collected.
[0037] Image preprocessing: When acquiring sediment grading images, due to the limitation of the pixels of the digital camera itself, the interference of the external complex environment - such as uneven illumination, low air visibility, other human and mechanical factors in the process of shooting, transmission and processing Due to various factors and other reasons, the obtained sediment gradation image is blurred and low in quality, and the computer cannot directly identify and analyze it. This requires certain p...
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A self-similarity silt particle size identifying system is a novel method and a system for identifying silt particle size and proportion and is a method which mainly includes utilizing a digital camera to take images of silt to be identified, processing the images serially, and finally obtaining size and proportion of the silt particles. The self-similarity silt particle size identifying system mainly comprises a silt image data acquisition part, a silt image data processing part and an intelligent silt grading identifying decision-making part, and realizes three problems unsolved by other systems including that firstly, at a silt data acquisition stage, sampling without damage is realized, and data acquisition way is updated, and data acquisition is convenient and easy; secondly, danger can be avoided in data acquisition, and acquisition cost is low; and thirdly, by digital photographing way, identifying process and time is short, the self-similarity silt particle size identifying system can be adopted in large area, and meanwhile, identification rate for integral objects is high.
Description
technical field [0001] The invention relates to the interdisciplinary subject of hydraulics and information science. Background technique [0002] Natural disasters such as landslides, mudslides, and barrier lakes caused by earthquakes or other factors occur frequently, which have a huge impact on people's production and life. So, how to eliminate or minimize the adverse effects of these natural disasters on people? For this reason, many scholars have done a lot of scientific research work. Summarizing previous research results, we can find that various factors such as seismic intensity, rainfall intensity, slope of the mountain itself, moisture content of the mountain, particle size distribution of sediment, and river flow determine the impact of landslides, debris flows, and barrier lakes. The development direction of various disasters. Among various influencing factors, the particle size distribution of sediment determines to a large extent the time, scope and degree of...
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IPC IPC(8): G06K9/00G06K9/62
Inventor 王红军李天瑞赵巍
Owner JIANGSU ZHENGYUAN INFORMATION TECH