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Hobbing cutter load decoupling method, system and equipment based on BP neural network

A BP neural network and hob technology, applied in the field of hob load decoupling based on BP neural network, can solve the problems of decoupling efficiency, measurement efficiency and poor accuracy, and achieve the effect of improving decoupling efficiency

Pending Publication Date: 2022-07-08
湖南浩拓机电科技有限公司
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Problems solved by technology

[0006] In view of this, the embodiments of the present disclosure provide a hob load decoupling method, system and equipment based on BP neural network, at least partially solving the problems of poor decoupling efficiency, measurement efficiency and accuracy in the prior art

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  • Hobbing cutter load decoupling method, system and equipment based on BP neural network
  • Hobbing cutter load decoupling method, system and equipment based on BP neural network
  • Hobbing cutter load decoupling method, system and equipment based on BP neural network

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Embodiment Construction

[0042] The embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0043] The embodiments of the present disclosure are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the content disclosed in this specification. Obviously, the described embodiments are only some, but not all, embodiments of the present disclosure. The present disclosure can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict. Based on the embodiments in the present disclosure, all oth...

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Abstract

The embodiment of the invention provides a hob load decoupling method, system and device based on a BP neural network, and belongs to the technical field of data processing, sensors are correspondingly installed on multiple marking points of a hob stress transmission path, and the method comprises the steps that strain data of multiple sets of sensors under different experiment working conditions are obtained; a BP neural network is used for establishing a strain load decoupling model with the strain sum and the strain difference as input and the vertical force and the rolling force as output; carrying out a load experiment on the hob to obtain voltage data under a simulatable working condition; establishing a voltage-strain function according to the voltage data and the strain data; and substituting the voltage-strain function into the strain load decoupling model to obtain a voltage load decoupling model taking the voltage data as input and the vertical force and the rolling force as output. Through the scheme disclosed by the invention, the method is suitable for load decoupling under the condition that strong coupling exists between the voltage and the load in a hob load monitoring method, and the decoupling efficiency, the measurement efficiency and the accuracy are improved.

Description

technical field [0001] The embodiments of the present disclosure relate to the technical field of data processing, and in particular, to a method, system, and device for decoupling load of a hob based on a BP neural network. Background technique [0002] At present, disc hob, as a tool for excavating hard rock, is often used in large excavation equipment such as shield machine and TBM. The working performance of the hob directly affects the excavation effect and construction speed of the tunnel boring machine. Real-time monitoring of the hob load helps to adjust the tunneling parameters of the roadheader (such as thrust, torque, rotational speed, penetration) in time, which helps to improve the rock breaking efficiency and speed up the tunneling speed; at the same time, it can be The hob load conditions of different tool positions can grasp the rock mass parameters of the face; in addition, obtaining the hob load information can also optimize the arrangement of the hob on th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/08G06F111/10
CPCG06F30/27G06N3/084G06F2111/10
Inventor 李波兰浩杨云邓荣沈鑫辉
Owner 湖南浩拓机电科技有限公司
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