Intelligent gravel aggregate regulation and control optimization device based on big data

A technology for optimizing devices and big data, applied in chemical instruments and methods, separation methods, use of liquid separation agents, etc., can solve problems such as purification treatment, and achieve the effect of increasing fluidity

CN114042521AActive Publication Date: 2022-02-15绵阳永晖新材料科技有限公司
13 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2022-02-15

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an intelligent gravel aggregate regulation and control optimization device based on big data, and relates to the technical field of gravel aggregate manufacturing. The intelligent gravel aggregate regulation and control optimization device comprises a tank body, wherein a screening mechanism is arranged at the bottom part of the tank body, a rotating shaft is rotatably connected to the inner side face of the screening mechanism, a material scraping body is fixedly connected to the position, close to the screening mechanism, of the surface of the rotating shaft, the screening mechanism comprises a connecting wall, the top part of the connecting wall is fixedly connected with the bottom part of the tank body, an elastic wall is fixedly connected to the middle of the surface of the connecting wall, and the inner side face of the elastic wall is rotationally connected with the surface of the rotating shaft. According to the intelligent gravel aggregate regulation and control optimization device based on the big data, through cooperative use of the screening mechanism, the material scraping body, a dust falling mechanism, a centrifugal body and other mechanisms, the problems of how to automatically re-crush gravel aggregate which does not meet the size condition and how to purify dust in the gravel aggregate in the crushing process are solved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of sand and gravel aggregate manufacturing, in particular to a control and optimization device for intelligent sand and gravel aggregate based on big data. Background technique

[0002] Crusher shaping machine is a kind of material self-impact crusher. It is an internationally advanced high-energy and low-consumption equipment developed by combining the advanced technology of similar foreign products. The material falls vertically into the high-speed rotating impeller from the upper part of the machine. Under the action of centrifugal force, it collides with another part of the material that flows around the impeller in the form of an umbrella to produce high-speed collision and crushing. After the materials collide with each other, they will form a vortex between the impeller and the casing and collide with each other for many times. Crushing, straight discharge from the lower part, and controlled by screen...

Examples

Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] Such as Figure 1-6 As shown, the present invention provides a technical solution: a control and optimization device based on big data intelligent sand and gravel aggregate, including a tank body 2, the middle position of the surface of the tank body 2 is fixedly connected with a dust suppression mechanism 3, and the dust suppression mechanism 3 includes The first filter layer 31 and the second filter layer 32, the middle position of the first filter la...