当前位置:网站首页>Embedded AI intelligent technology liquid particle counter
Embedded AI intelligent technology liquid particle counter
2022-07-05 07:40:00 【particle counter 】
Artificial intelligence (AI) All oil monitoring end markets covered by technical products ( Such as PLD-0201 The oil takes into account the analyzer 、PMT-2 Liquid particle counter 、PLD-601 Insoluble particle inspection car has been waiting ), Artificial intelligence (AI) The application rate of technology has been growing .PULUODY Ai of the company and world famous companies (AI) Technical product cooperation , It breaks through the monitoring limit of liquid particle counter .
Some have been released based on 32 Bit microcontroller 、MPU and MEMS Oil particle counter sensor AI Solution , It can support customers in all these particle counter applications and many other oil monitoring projects . To reduce bandwidth 、 Power demand and delay , The trend in recent years has shifted from cloud centric AI The solution turns to the so-called edge AI, On the edge AI in , machine learning (ML) The algorithm runs locally on the microcontroller or edge sensor , In response ability 、 low power consumption 、 There are great advantages in data privacy and bandwidth usage .
Artificial intelligence (AI) The future challenge of the technology oil particle counter sensor is with minimal power consumption ( At least 1 An order of magnitude ) Run more and more powerful deep learning algorithms , Make more complicated AI The solution can run on very small devices .
Generally speaking , Developers face the first 1 One challenge is how to learn something AI Basic knowledge of , And learn how to implement for your own use cases ML project . in fact , Use ML Design requires “ Thinking Shifts ” Ability , That is, from the traditional programming technology ( The algorithm is “ transcendental ” Compiling ) Turn to data-driven ML Method . then , Developers need to find the one that best suits their application scenarios ML Model , And learn how to correctly evaluate its performance . For experienced AI For developers , These basics may already be very familiar , Therefore, the challenges they face are more focused on the tools and libraries that can be used in embedded systems , And find AI Algorithm performance and hardware constraints ( Related to power consumption and solution cost ) The best trade-off between .
Artificial intelligence (AI) Technology oil particle counter sensor provides a complete solution portfolio and ecosystem , To satisfy the user about any level 、 Levels of AI Or embedded AI The need for knowledge .
give an example AI Oil particle monitoring equipment
Liquid particle detection equipment -PMT-2 Liquid particle counter .

PMT-2 Liquid particle counter is small in size in the industry 、 Light weight high-precision liquid particle counter , It's completely in line SJ/T 11638、 ISO 21501-2 and GBT 11446.9.
Artificial intelligence (AI) Technology oil particle counter sensor is added with minimal power consumption ( At least 1 An order of magnitude ) Run more and more powerful deep learning algorithms , Make more complicated AI Solutions can operate in very complex environments .
It has a strong corrosion-resistant protective shell , Compact compact small size , Optional color touch screen ( Standard configuration 10.1 " , You can also choose other sizes ), Built in advanced industrial grade PC( At present, the system can choose Windows、Android、HarmonyOS and macOS).
Because of its innovative dynamics & Static light scattering double laser design , bring PMT-2 The liquid particle counter is very stable 、 reliable 、 For internal use , It is not affected by impact and vibration . therefore , It is very suitable for testing under extreme conditions , Such as mobile laboratory 、 Workshop movement detection .
PMT-2 Liquid particle counter can provide accuracy to 0.03 Micron monitoring , Anti electromagnetic interference shielding , Zero count rate can be achieved ,5 Within minutes 1 grain . Distinctive NIST The calibration of standard traceable particles ensures that 0 - 68000 High resolution and counting accuracy in the particle concentration range .
Large color touch screen and integrated design of side injection , Make the daily measurement procedure very efficient .
边栏推荐
- Don't confuse the use difference between series / and / *
- [neo4j] common operations of neo4j cypher and py2neo
- QT excellent articles
- Threads and processes
- Pagoda create multiple sites with one server
- Logistic regression: the most basic neural network
- R language learning notes 1
- [MySQL] database knowledge record
- Ggplot2 drawing learning notes in R
- Anaconda pyhton multi version switching
猜你喜欢

Unforgettable summary of 2021

Daily Practice:Codeforces Round #794 (Div. 2)(A~D)

Shadowless cloud desktop - online computer

Basic series of SHEL script (III) for while loop

Numpy——1.数组的创建

Self summary of college life - freshman

CADD course learning (5) -- Construction of chemosynthesis structure with known target (ChemDraw)

HDU1232 畅通工程(并查集)

MySql——存储引擎

How to modify the file path of Jupiter notebook under miniconda
随机推荐
TCP and UDP
NSIS finds out whether the file exists and sets the installation path
selenium 元素定位
2022年PMP项目管理考试敏捷知识点(7)
Function of static
assert_ Usage of param function
Pagoda create multiple sites with one server
Light up the running light, rough notes for beginners (1)
Set theory of Discrete Mathematics (I)
Threads and processes
Latex notes
Day07 type of mathematical operator automatic conversion relational operator bitwise operator blind date math
Daily Practice:Codeforces Round #794 (Div. 2)(A~D)
Don't confuse the use difference between series / and / *
golang定时器使用踩的坑:定时器每天执行一次
Matrix and TMB package version issues in R
Hdu1231 maximum continuous subsequence (divide and conquer or dynamic gauge or double pointer)
RF ride side door processing of prompt box
Close of office 365 reading
611. 有效三角形的个数