Blind sample detection method for lab samples based on QR code detection technology

A detection method and two-dimensional code technology, applied in the direction of collaborative devices, instruments, computer components, etc., can solve problems such as buried construction quality and hidden dangers, and achieve the effect of avoiding human intervention and true and accurate data

Inactive Publication Date: 2018-04-17
LIAONING ZHONGRUAN INFORMATION TECH CO LTD
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

These behaviors are not uncommon in the field of engineering construction in recent years, burying a huge hidden danger for the construction quality

Method used

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  • Blind sample detection method for lab samples based on QR code detection technology

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Embodiment Construction

[0024] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0025] figure 1 Shown is the method flowchart of the present invention;

[0026] 1. Testing of test samples other than cement concrete samples

[0027] The APP system accesses specific services to create blind sample information; blind sample information includes sample manufacturer information (unit name, project name, etc.); sample basic information (sample name, engineering location, sample size, maintenance method, molding date, design Strength, etc.); information related to test operation (test name, sample size, strength level, etc.).

[0028] The sample creator enters the sample information according to the actual sample. Except for the cement concrete sample, the sample to be inspected can be sealed with a bag-type QR code seal, and the sample creation is completed after uploading the input information to the cloud platform;

[0029...

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Abstract

The invention relates to a blind sample detection method for lab samples based on the QR code detection technology, and the method comprises the steps: creating blind sample information of a sample, and carrying out the matching of the blind sample information with the QR code information of the sample; enabling a sample creator to seal and store the matched sample through a QR code facing slip, and uploading the blind sample information to a cloud side; enabling a sample receiver to carry out the code scanning and sample collection after the receiving of the sample, and distributing the sample to a tester for testing; automatically collecting and reading a testing result of the sample after testing, carrying out the matching with the sample information, and providing a test report. According to the invention, the advanced network technology is employed for replacing the manual recognition mode, thereby effectively avoiding the counterfeiting of a tested sample block or manual intervention, and provides a feasible and effective solution for a detection organization for the management of samples.

Description

technical field [0001] The invention relates to the field of laboratory sample detection, in particular to a blind sample detection method for laboratory samples based on two-dimensional code technology. Background technique [0002] It is not uncommon to see similar products in the market for test blind sample detection systems, but their functions and features are relatively similar, and their defects are becoming more and more obvious. For example, most of the current blind sample detection systems scan the code immediately after the sample arrives at the laboratory, and then test on the machine after the identity is confirmed. Then, during the blank time from scanning the code to the machine, human intervention factors cannot be eliminated. There are fatal loopholes in the entire controlled process of the sample. [0003] In order to save costs, some unscrupulous construction units take advantage of the above loopholes to make fake test blocks, or directly purchase test...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K17/00
CPCG06K17/0022
Inventor 王相国刘晨光冯雪
Owner LIAONING ZHONGRUAN INFORMATION TECH CO LTD
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