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A method and system for on-board detection of compaction degree based on big data

A detection method and detection system technology, which are applied to roads, buildings, analysis of solids using sonic/ultrasonic/infrasonic waves, etc., can solve problems such as lack of universal application value, insufficient compaction monitoring methods, and lack of universality. Achieve the effect of increasing the sample data base, facilitating monitoring, and enriching data samples

Active Publication Date: 2019-06-07
XCMG CONSTR MACHINERY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Since the 1970s, several on-vehicle detection devices have come out successively, such as in the world patent W082 / 01905 and the Swedish patent SE424455. The index of the degree of compaction is the dimensionless harmonic ratio, that is, the compaction value CMV. The algorithm later proved to have no universal application value
So far, all the main engine manufacturers have designed their own on-board compaction monitoring devices and algorithms, but there are deficiencies in the methods of compaction monitoring and they are not universal

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  • A method and system for on-board detection of compaction degree based on big data
  • A method and system for on-board detection of compaction degree based on big data

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[0033] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0034] like figure 1 As shown, an on-board compaction detection system based on big data includes vibration sensors, dedicated controllers, data terminals, displays, cloud servers and cloud computing hosts. The present invention comprises the following steps:

[0035] S01: The vibration sensor collects the acceleration signal of the vibrating wheel in the soil, and performs AD conversion to convert the charge signal into a digital signal. It is necessary to understand the sensitivity, range, frequency response, resonant frequency, operating temperature, protection level, isolation mode, and AD conversion of the vibration sensor. Precision, output form, EMC index, installation form, system power...

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Abstract

The invention discloses a big data-based compaction degree vehicle-accompanying detection method. The big data-based compaction degree vehicle-accompanying detection method comprises the following steps: S01, acquiring an accelerated speed signal of a vibrating wheel in soil and performing AD conversion to convert a charge signal into a digital signal; S02, performing Fourier transformation on the digital signal to form a frequency domain signal; S03, uploading the current data of a compaction object together with position information to a cloud platform to store; S04, performing matched calculation on real-time uploaded data and a data sample library, and outputting the compaction degree of sample data to serve as pavement compaction degree of real-time acquired data, wherein the sample data with highest matched relevancy serves as the current reference data; S05, transmitting the compaction degree obtained by calculation to a bicycle system; and S06, displaying compaction degree information by the bicycle system. The invention also provides a vehicle-accompanying detection system comprising a vibrating sensor, a special controller, a data terminal, a display, a cloud server and a cloud calculation host. According to the big data-based compaction degree vehicle-accompanying detection method and the big data-based compaction degree vehicle-accompanying detection system, which are provided by the invention, vehicle-accompanying detection on the compaction degree can be realized, the compaction information can be stored in real time, and the accuracy of the output result can be improved.

Description

technical field [0001] The invention relates to a method and system for on-board detection of compaction degree based on big data. Background technique [0002] Today's social urbanization is in a stage of great strides, and people's requirements for road laying have reached an unprecedented height, both in terms of quality and quantity. The compaction of embankments, subgrades, and base materials is critical to the performance of highway pavements and accounts for a significant portion of the nation's highway construction budget. The diversity of soil materials, equipment and operator variability, and varying moisture content make the required earth compaction difficult to achieve. Current quality control and volume assurance testing devices are typically used to evaluate less than 1% of the actual compacted area. [0003] Traditional methods of checking compactness, such as ring knife method, sand filling method, water soaking method, etc. The soil is sampled and inspec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): E01C19/28G01N29/04
CPCE01C19/288G01N29/04
Inventor 薛力戈武博文周保刚卜宪森
Owner XCMG CONSTR MACHINERY
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