Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Quality detection system based on cloud server

A cloud server and detection instrument technology, applied in the direction of instruments, measuring devices, scientific instruments, etc., can solve the problems of inability to monitor quality more effectively, waste of detection resources, etc., to improve the efficiency and coverage of quality detection, simplify networking, The effect of rapid quality inspection

Active Publication Date: 2017-01-11
上海赛诚医药科技有限公司
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It has caused a huge waste of testing resources, and at the same time cannot monitor the quality of medicines, food, grains, feed and other products more effectively

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Quality detection system based on cloud server
  • Quality detection system based on cloud server
  • Quality detection system based on cloud server

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0035] In this embodiment, a multi-source spectrometer is used as a detection instrument to detect the sample to be tested and collect corresponding data. The multi-source spectrometer is composed of LED light sources including 275nm, 370nm, 675nm, 750nm, 830nm, 900nm, 1100nm, and 1500nm, and the LED light source is realized by a photodiode. As a sensor, the multi-source spectrometer is connected to the smart terminal with Bluetooth. The smart terminal is a mobile phone with an Android system. The mobile phone communicates with the cloud server through wifi. The cloud server uses Alibaba Cloud. The instrument database used is a database in mySQL format. The type of sample (Ginkgo biloba), the number of testing batches (10 batches), the testing time (2016.4.23), and the cumulative use time are in hours (10 hours). That is, the instrument with the serial number zlg1602030001 was used to detect 10 batches of ginkgo leaf samples on April 23, 2016, and the cumulative detection tim...

no. 2 example

[0043] Same as the first embodiment, the difference is that the detection instrument is composed of 275nm, 285nm, 295nm, 330nm, 375nm, 420nm, 450nm, 600nm, 675nm, 830nm ultraviolet and visible light LED light sources. The data records of the second embodiment in the instrument database are shown in Table 21.

[0044] The second embodiment data information recorded in the instrument database of table 21

[0045] serial number Test sample batch number Test date Instrument cumulative test time (h) zlg1604020012 Danshen 20 2016.5.7 3

[0046] The compound spectrogram of 20 batches of Danshen samples described in the second embodiment of the present invention is as follows image 3 shown. The correction of the instrument signal was realized with the neural network algorithm, and the prediction model of the sample properties was established with the PLS algorithm. The predicted contents of each component in 20 batches of Danshen are shown in Table 2...

no. 3 example

[0051] The same as the first embodiment, the difference is that the detection instrument is an ultraviolet spectrometer, and the smart terminal is a notebook computer. The data records of the third embodiment in the instrument database are shown in Table 31.

[0052] The data information of the third embodiment recorded in the instrument database of table 31

[0053] serial number Test sample batch number Test date Instrument cumulative detection time (h) zlg1604030001 honeysuckle 3 2016.6.7 2

[0054] The ultraviolet spectrum of 3 batches of honeysuckle samples described in the third embodiment of the present invention is as follows Figure 4 shown. The calibration of the instrument signal was simulated by the logistic regression algorithm, and the prediction model was established by the random forest number algorithm. The predicted contents of each component in the three batches of honeysuckle are shown in Table 32. The data in Table 32 is s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a quality detection system based on a cloud server. The system comprises a detection instrument, an intelligent terminal and the cloud server. The detection instrument is used for detecting a to-be-detected sample. The cloud server is used for receiving an instrument serial number obtained by the intelligent terminal and inquiring the state of the detection instrument in an instrument database according to the received instrument serial number so as to judge whether the detection instrument needs to be corrected or not; if the detection instrument needs to be corrected, the cloud server calls a cloud instrument to correct the detection instrument, a correction model is formed and stored in a correction database, then properties of the to-be-detected sample are predicted, and a prediction result is returned to the intelligent terminal; if the detection instrument does not need to be corrected, the cloud server calls a sample property prediction model stored in the model database to predict the properties of the to-be-detected sample, and a prediction result is returned to the intelligent terminal. The detection instrument is connected through the internet, so product quality detection is quick, easy and networked, and quality detection efficiency is improved.

Description

technical field [0001] The invention relates to the technical fields of analytical instruments and the Internet, in particular to a quality inspection system based on a cloud server that realizes quality inspection of complex systems through the Internet. Background technique [0002] Analytical instruments are a type of instruments that analyze the structure, composition and composition of samples. Such instruments often require a series of standard controls and other standard methods as references during use. The structure of the standard control substance is usually determined by multispectral (IR, UV, MIR, NIR), and it needs to be obtained or confirmed by a legal or authoritative department. The reference method is usually weighing or volume. For example, when determining the content of salvianolic acid B in the 2015 edition of the Pharmacopoeia of the People's Republic of China: take the reference substance of salvianolic acid B and accurately weigh it (appropriate amou...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N21/31G01N21/33G01N21/3563G01N21/359G01N21/65
CPCG01N21/31G01N21/33G01N21/3563G01N21/359G01N21/65
Inventor 张立国倪力军
Owner 上海赛诚医药科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com