Sampling method and device for avoiding bracing of carriage

Abstract

The invention discloses a sampling method and device for avoiding bracing of a carriage. The method comprises the following steps: before sampling a preset sampling point, detecting whether metal exists at the position of a sampling point in a preset depth through a metal detector; when detecting that the metal exists, not sampling; and when detecting that the metal does not exist, sampling. The sampling method and device for avoiding bracing of the carriage has the advantages that human intervention is not required, the degree of automation is high, the sampling efficiency and safety of sampling can be improved effectively, the sampling method is simple to implement, and is stable and reliable, artificial cheating is stopped, and representativeness of samples is improved.

Description

technical field [0001] The invention relates to the field of coal sample detection, in particular to a sampling method and a sampling device for avoiding carriage tension. Background technique [0002] When sampling and testing coal, the coal is usually transported to the sampling and testing location by vehicles such as cars or trains, and then the coal is extracted from several sampling points in the carriage (that is, the carriage that transports the coal) for sampling and analysis. In order to ensure the stability of its structure, the compartment is usually provided with tie bars between the two side panels of the compartment. Therefore, when sampling the coal in the compartment, it is necessary to avoid the tendons in the compartment to prevent the tendons from causing damage to the sampling mechanism. At the same time, the location and height of the tie bars are different. After the car is filled with coal, the tie bars may be located above or below the coal surface....

AI Technical Summary

Problems solved by technology

At the same time, the location and height of the tie bars are different. After the car is filled with coal, the tie bars may be located above the coal surface or below the coal surface. Therefore, it is difficult to directly detect the tie bars

The sampling methods to avoid stretching in the prior art are mainly: 1. Manual sampling. This method must be operated by a special person for sampling. When encountering stretching, sampling is not performed. The sampling is relatively random and there is a risk of human cheating; 2. Manual animation Frame sampling: This method combines the top view of the carriage, and sets multiple sampling frames in the top view by manually dragging the frame, avoiding the location of the tendons by manually dragging the frame, and randomly generating sampling points in the frame. This scheme belongs to the semi-automatic sampling method. People are required to designate the sampling area, and there is a risk of cheating; 3. Automatic sampling: enter the model information and stretch data in advance, and automatically avoid the stretch position when generating sampling points, but there is no feedback on the deviation between the actual sampling point and the target sampling point Compensation, when encountering Lajin, you can only manually press the emergency stop button or manually click the next point to sample, and you cannot achieve real automatic sampling without human beings, and there is a risk of cheating

None of the existing technologies can solve the problem of lacing position identification and avoidance. Accidents such as broken lacing and cracking of the sampling head occur frequently. The problem of automatic identification of lacing has become the biggest bottleneck in the sampling industry to achieve full automation.

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