Real-time data acquisition method and acquisition system for three-dimensional detection of aggregates on the production site

Abstract

The invention discloses a real-time data acquisition method and an acquisition system of a production field aggregation three-dimension test. An aggregation conveying device comprises a feed bin, a primary driving belt, a material distributing plate and a general conveying belt, wherein a two-level conveying belt is arranged below the material distributing plate. A data acquisition device is installed and comprises a laser and an area array camera, wherein the laser and the area array camera are packaged inside a dust proof case which is installed below the two-level conveying belt. The laser is right opposite to the two-level conveying belt. A first encoder is installed on a rotating shaft of the two-level conveying belt. A second encoder is installed on a dust proof stabilizing box, and is connected with the area array camera. The laser, the area array camera, the first encoder and the second encoder are respectively connected with a computer. The computer is used for controlling conveying speed of the two-level conveying belt and sampling frequency of the area array camera. The real-time data acquisition method is capable of directly obtaining dimensional data information of the aggregation, and aggregate grading calculating accuracy is greatly improved. Aggregation falling speed is controlled in the process of shooting, and the problem of uneven falling speed of the aggregation is solved.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional detection of mineral mixtures, and in particular relates to a real-time data collection method and a collection system for three-dimensional detection of aggregates at a production site. Background technique [0002] Asphalt pavement is a pavement structure composed of a surface course built with asphalt materials as a binder to bond mineral materials, various bases and cushions. Asphalt pavement works under complex load stress and environmental conditions. In order to ensure its road use Performance, the material selection, production and molding process of asphalt mixture need to implement strict quality control. [0003] The aggregate composition of the asphalt pavement mixture is called the gradation of the asphalt mixture. Asphalt mixture mainly refers to unpaved and compacted asphalt concrete mixture and asphalt macadam mixture. Asphalt concrete mixture is an asphalt mixture that...

AI Technical Summary

Problems solved by technology

[0004] The above method has the defects of complicated operation, low accuracy of data acquisition and test data mainly relying on the operator's test level; most of the test and detection equipment used are bulky, expensive, and the test period is long

For some parameters of mineral aggregate particles in asphalt mixture, such as angularity and needle-like particles, sieving alone cannot be determined, and additional tests are required

In addition, when determining asphalt content by extraction, since organic matter is used, it is easy to cause harm to the human body, and the use of combustion methods will pollute the environment

[0005] Therefore, it is necessary to find a device and method that can quickly and non-destructively detect the gradation of asphalt mixture mineral materials. Image processing technology can basically achieve this goal, but only two-dimensional data of aggregates can be obtained through image processing methods. In the analysis of gradation composition, the accuracy is often not ideal; the inventor designed a digital imaging acquisition system and acquisition method for aggregate gradation detection in response to the above problems (see the Chinese invention patent with the authorized announcement number CN101920043B) , whose structure is as figure 1 As shown, this needs to realize the sampling and collection of the aggregate flow by setting the movable material distribution plate, which solves the problem that the previous aggregate image acquisition device must collect all the images of the aggregate falling flow, and overcomes the quality of the collected images. However, after a period of on-site use, the inventor found that there are still some problems that cannot be ignored:

[0006] Problem 1: Since the existing material distribution plate is inclined, although the diversion of aggregates has been realized, the falling speed of aggregates cannot be optimally controlled, and the falling speed of aggregates in each section of the material distribution plate is not stable. Even, the data collected by the camera is distorted, causing large errors or even errors in the processing results;

[0007] Question 2: When shooting aggregates directly on the material distribution board or conveyor belt, since the surface of the material distribution board or conveyor belt is flat and smooth, if the aggregates laid on it do not completely cover the surface, it is inevitable that the laser light source will hit it. Reflection, the data collected in this way will have a lot of noise points that are not easy to deal with. In severe cases, the data cannot be used. If the data is not found in time during the collection and processing process and the data is used, the error of the processing result will be very large.

Therefore, it is necessary to closely track the collection process, and discard some abnormal data if necessary, but this leads to low test efficiency, time-consuming and laborious, and measurement accuracy cannot be guaranteed

[0008] Question 3: The camera has the best field of view for shooting. The distance control lever and the angle control lever are designed in the existing system to adjust the position and inclination angle of the material distribution plate respectively, so as to realize the effective shunting of the aggregate, but the adjustment of the distance control lever and angle At the same time as the lever is controlled, the relative position of the aggregate on the material distribution plate and the camera changes, so that the camera cannot always work in the best field of view, which will have an unquantifiable impact on the results

[0009] Question 4: The existing systems and methods use line array cameras to collect two-dimensional images, and convert the two-dimensional data of aggregates into volumes by calculation, and then obtain the asphalt mixture gradation. Due to the complexity of image processing, the obtained The gradation and the actual gradation have a relatively large deviation

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