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Intelligent environment-friendly transfer method based on data learning

A data and environmental protection technology, applied in the field of intelligent environmental protection transfer, monitoring the actual operation status of the transfer hopper, can solve the problems of production stagnation, shutdown maintenance, and different stages and degrees of bulk material accumulation.

Pending Publication Date: 2022-06-10
TIDFORE HEAVY IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, in stockyards, power plants, and corridor transportation projects, conventional transfer stations are equipped with transfer hoppers, which often cause blockage of the hopper due to the adhesion and backlog of bulk materials, which in turn leads to insufficient bulk material transportation capacity, triggers downtime for maintenance, and causes production stagnation
Equipped with a vibration motor can effectively eliminate the problem of material accumulation and blockage, but the stage and degree of bulk material blockage and accumulation are different, the excitation intensity and effective action time are different, the service life of the long-term working vibration motor cannot be guaranteed and cause additional failure loss

Method used

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  • Intelligent environment-friendly transfer method based on data learning
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  • Intelligent environment-friendly transfer method based on data learning

Examples

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Embodiment Construction

[0022] The technical solutions of the present invention will be described in further detail below with reference to specific embodiments. It should be understood that the following examples are only for illustrating and explaining the present invention, and should not be construed as limiting the protection scope of the present invention. All technologies implemented based on the above content of the present invention are covered within the intended protection scope of the present invention.

[0023] Unless otherwise stated, the starting materials and reagents used in the following examples are commercially available or can be prepared by known methods.

[0024] like figure 1 The shown intelligent environmental protection transport method based on data learning, the steps are as follows:

[0025] Step a) Detect the material flow passing data with the aid of the flow rate sensor and the pressure sensor, and transmit the material flow shape, passing flow rate, and backlog weig...

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Abstract

The invention discloses an intelligent environment-friendly transfer method based on data learning, and the method comprises the steps: detecting material flow passing data, comparing the obtained data with a set model through a background central controller, and obtaining the conveying amount and the material accumulation degree; the abnormal data is calculated, and a PLC program instruction of an action intensity-action time nonlinear relation curve is made; according to an obtained PLC program instruction, vibration accumulated material removing operation is executed, material flow passing data are updated in real time, and a background central centralized controller further optimizes and executes a solution; and when the material flow returns to normal through data, the central centralized controller sends a vibration motor shutdown signal and keeps standby. Compared with the prior art, the method has the advantages that the calculation result data is transmitted in advance to be matched with the optimal working instruction program of the vibration motor, the vibration motor is controlled to perform regulation and control according to the accumulated weight information data, the working intensity and starting and stopping are regulated and controlled in real time, and intelligent analysis and scheme decision making of accumulated material solving are achieved.

Description

technical field [0001] The invention belongs to the technical field of transfer equipment, and in particular relates to an intelligent and environment-friendly transfer method based on data learning, which is mainly used for monitoring the actual operation state of a transfer hopper. Background technique [0002] At present, in material yards, power plants, and corridor transportation projects, conventional transfer stations equipped with transfer hoppers often block materials due to the adhesion and backlog of bulk materials, which in turn leads to insufficient bulk material transportation capacity, causing shutdown maintenance and production stagnation. . Equipped with a vibration motor can effectively eliminate the problem of material accumulation and blockage, but the stage and degree of blockage and accumulation of bulk materials are different, and the excitation intensity and effective action time are different. SUMMARY OF THE INVENTION [0003] The invention aims t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/23G06F16/2458H02P1/16H02P3/06
CPCG06F16/2379G06F16/2465H02P1/16H02P3/06
Inventor 戚一男涂璐穆磊
Owner TIDFORE HEAVY IND
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