Tire pressure dynamic weighing device based on neural network

A neural network and dynamic weighing technology, applied in the application field of neural network analysis, can solve the problems of reducing production efficiency, low efficiency, and increasing operating costs of enterprises

Inactive Publication Date: 2016-03-30
LOGISTICS SERVICE CENT OF YUNNAN POWER GRID +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Over the years, the weighing of loaders in the energy industry has been based on traditional weighing scales. This method is relatively inefficient, and the loader needs to stop for weighbridge weighing, which increases the operating cost of the enterprise and reduces production efficiency.

Method used

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  • Tire pressure dynamic weighing device based on neural network
  • Tire pressure dynamic weighing device based on neural network

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Experimental program
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Embodiment Construction

[0021] Such as figure 1 , a dynamic tire pressure weighing device based on neural network, the vehicle tire pressure and temperature information data are obtained through the sensor module, the data compilation and transmission module receives and stores the data transmitted by the sensor module, and then transmits the data to the data analysis module for neural network The data model analysis, and the final analysis and comparison results are displayed in the system display module.

[0022] Such as figure 2 A neural network-based tire pressure dynamic weighing device is mainly composed of a sensor module, a data compilation and transmission module, a data analysis module, a system data display module and a data interface.

[0023] Among them, the sensor module module includes a pressure sensor and a temperature sensor. This module transmits the data obtained by the sensor to the single-chip microcomputer in the module for data compilation and preparation before transmission...

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Abstract

A tire pressure dynamic weighing device based on a neural network is characterized in that a sensor module connected with a pressure sensor, a temperature sensor and a level sensor collects data transmitted by the sensors, and transmits the data to a signal compilation and transmission module to realize wireless transmission connection of the sensor data; the signal compilation and transmission module compiles a data signal and then transmits the data signal to a data analysis module, and the data analysis module analyzes the data through a neural network analysis mode and transmits the final analysis result to a system display module; and a data interface module connected with the system display module is responsible for sending the analysis result to a peripheral system. The beneficial effect is as follows: tire pressure, temperature information and other data of different vehicles can be collected, stored and transmitted, the data is finally analyzed through a neural network data analysis model, and the analyzed data is output to the system display module to achieve the purpose of monitoring and pre-warning. Meanwhile, data interfaces are provided for the external system.

Description

technical field [0001] The invention belongs to the application field of neural network analysis and includes sensor applications. Background technique [0002] Over the years, the weighing of loaders in the energy industry has been based on traditional weighing scales. This method is relatively inefficient, and loaders need to stop for weighbridge weighing, which increases the operating costs of enterprises and reduces production efficiency. [0003] Therefore, it is particularly important to establish an automatic weighing system. Contents of the invention [0004] In order to quickly and dynamically calculate the weight of the goods loaded on the vehicle, and at the same time prevent the vehicle from being dangerous due to overloading, the device realizes the dynamic weighing of the loader and the early warning of the tire pressure of the loader. [0005] The present invention is achieved through the following technical solutions: [0006] A neural network-based tire ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01G19/08G01L17/00
CPCG01G19/086G01L17/00
Inventor 邹梦元杨中柴晋宏张瑾荆永鑫陈晓佳胡伟
Owner LOGISTICS SERVICE CENT OF YUNNAN POWER GRID
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