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Muck truck earthwork volume calculation method based on convolutional neural network

A convolutional neural network and volume computing technology, applied in neural learning methods, biological neural network models, computing, etc., can solve problems such as practicability problems, reduce floor space, improve field efficiency, and facilitate deployment. Effect

Pending Publication Date: 2021-01-15
CHINA THREE GORGES UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is not suitable for large-scale and complex earthwork systems, and additional employees are still required to perform clock-in operations, which poses a problem in practicability

Method used

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  • Muck truck earthwork volume calculation method based on convolutional neural network
  • Muck truck earthwork volume calculation method based on convolutional neural network
  • Muck truck earthwork volume calculation method based on convolutional neural network

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Embodiment Construction

[0033] In the embodiment, a muck truck transportation management information system is established to carry out informatization management on data such as dreg truck model, license plate number, and muck truck self-weight. The embodiment establishes a first neural network model for each type of muck truck, and performs pre-training separately.

[0034] Such as figure 1 As shown, the calculation method of earthwork volume of muck truck based on convolutional neural network includes the following steps:

[0035] Step 1: Set up weighing equipment on the ground of the entrance and exit passage of the construction site, and weigh the rear wheels of the muck truck loaded with earth and stones after driving into the designated area;

[0036] Step 2: Select the corresponding first neural network model for the model of the muck truck, input the weighing value of the rear wheel into the first neural network model, and use the nonlinear mapping relationship of the convolutional neural n...

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Abstract

The invention discloses a muck truck earthwork volume calculation method based on a convolutional neural network. The muck truck earthwork volume calculation method comprises the steps that rear wheels of a muck truck loaded with earthwork are weighed; a corresponding first neural network model is selected for the model of the muck truck, the rear wheel weighing value is input into the first neural network model, and the whole truck mass of muck loaded by the muck truck is obtained; the mass of the muck carried by the muck truck is calculated according to the whole truck mass of the muck loaded by the muck truck and the empty truck mass of the muck truck; an image of the muck carried by the muck truck is acquired, and the image is input into the second neural network model to obtain the density of the muck carried by the muck truck; and according to the muck mass and the muck density, the volume of muck carried by the muck truck, namely the earthwork carried by the muck truck is calculated. According to the invention, the first neural network model and the second neural network model are respectively used for calculating the weight of the whole muck truck and identifying the muck density, automatic calculation of the muck loading volume of the muck truck is achieved, manpower is replaced, time and labor are saved, and the calculation precision is high.

Description

technical field [0001] The invention belongs to the field of intelligent identification of muck, and in particular relates to a method for calculating the volume of earth and rocks of a muck truck based on a convolutional neural network. Background technique [0002] The transfer of earth and stone is common in civil engineering projects. When the muck truck carries the earth and stone away from the construction site, it is necessary to count the amount of earth and stone. At present, most construction sites still adopt the traditional manual counting method for statistics, but the traditional counting mode is easily limited by the knowledge and equipment of management personnel. Factors such as the quality of operators have caused various fare evasion violations, lack of standardized construction, and counting errors. The invention patent with the publication number CN109002421A discloses a method for counting the amount of earthwork transported by muck trucks, which includ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06N20/20
CPCG06N20/20G06N3/084G06N3/044G06N3/045G06F18/214
Inventor 沈辰简飞弘
Owner CHINA THREE GORGES UNIV
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