Product separation box and detection and separation method thereof

Abstract

The invention discloses a product separation box and a detection and separation method thereof. The detection and separation method adopts a product detection device, a separation box is arranged on the product detection device, and the separation box comprises box bodies, a moving device, a separator, discharging ports and a control system, wherein the moving device drives the discharging ports to move to form a moving track, and first feeding ports are formed below the moving track; and a NG sorting mode selection method is adopted for identifying the box bodies and products to achieve separation, and the NG sorting mode selection method comprises product tolerance standard calculation, a priority material separation mode and a non-priority material separation mode. According to the detection and separation method, through cooperation of the moving device, the detection device, a discharging device and the control system, the detected products are classified in real time according to specific product defects and are automatically discharged into the corresponding box bodies, subsequent processing or secondary detection of NG materials is facilitated, the automation degree is high, manual classification by workers is not needed, and the labor cost of an enterprise is reduced.

Description

technical field [0001] The invention relates to the technical field of non-standard automation equipment, in particular to a product distribution box and a detection and separation method thereof. Background technique [0002] At present, in the precision parts industry, it is necessary to inspect the size, volume, shape, and processing defects of the product. At this stage, the processing inspection process usually uses a single imager to inspect the workpiece, and the product is classified into NG according to the inspection results. OK material and OK material, OK material can be directly used for subsequent processing or contracting, but it is impossible to classify NG material products according to specific product defects. Inspection requires manual or mechanical secondary classification of the inspection data recorded in the system. When inspecting a large number of products, due to the small size of the product and the large amount of data processing by the control s...

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Problems solved by technology

[0002] At present, in the precision parts industry, it is necessary to inspect the size, volume, shape, and processing defects of the product. At this stage, the processing inspection process usually uses a single imager to inspect the workpiece, and the product is classified into NG according to the inspection results. OK material and OK material, OK material can be directly used for subsequent processing or contracting, but it is impossible to classify NG material products according to specific product defects. Inspection requires manual or mechanical secondary classification of the inspection data recorded in the system. When inspecting a large number of products, due to the small size of the product and the large amount of data processing by the control system, it is easy to have automatic data overwriting, data loss or The problem of data confusion, which affects the secondary classification, is inefficient. If large-scale product data needs to be stored, a large amount of data storage is required, and the cost is high. In addition, the labor intensity of the staff is high, and the detection efficiency is low. cost of production

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