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H2L Co., Ltd.
[Korea]
Address:
213-26 Anyang 7-dong, Manan-gu Anyang-si Gyeonggi-do 430-817 Korea
Phone:
82-31-4458990
Contact name:
Hohyun Jeon , Director
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H2L Co., Ltd.
 
n-CNR Package System

NBP-AI System

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CNR Control System for Artificial Intelligence logic

Artificial Intelligence Control

Ai(Artificial Intelligence) Control is :

  • To study the object recognition process & Perform relearning at suitable STP.
  • To develop a biological water treatment system based on the principles of study, learning and behavior functions of a neural network logic
  • To automatically controls optimal SRTs and to optimal SRTs and to optimize the removal of organic matters, nitrogen and phosphorus
  • Long-distance eal-time monitoring for the property of the influent water, the conditions of the reaction tank and the intended quality of the treated water
  • Relearning & automatic control by AI logic

Comparision of Control Technology

Items
AI control
technology
Other Control
technology
Control
Standard
Empirical data acquired by learning
-Control to optiional setting values
Manager's personal standard at a guess
-Manual control based on fixed values
Maintenance
All time management at remote No prompt arrangement against a change
-A regular management by a manager is needed
Maintenance
Cost
Control accroding to the required amout
-Cost is onthe decrease
Fixed or temporary operation of the equipments
-Cost is increased
Learning & Up-Grade
Yes
(Upgraded at all times)
No
(Via complicated procedure)

Constitution & Monitoring & Control System

  • Host & remote monitoring System
  • Computer Monitoring & Control System
  • Control System
    (Flow amount, NH4-N, pH, Temp, MLSS, DO, ORP etc.)
  • SRT Control System

Application

  • Unattended automatization of small-size treatment plants
  • Improved function of medium-size treatment plants
  • Improved operation efficiency of large-size treatment plants
    High efficiency and easy maintenance
Improvement of the existing facilities New facilities
  • Existing monitoring & control equipment can be utilized such as PLC
  • Sufficient learning can be obtained from existing operating data
  • AI control system can be constructed with some additional equipments
  • Convenient extension & enlargement
  • Construction cost reduction for host & remote monitoring & control system
  • Standardization of control

Related Keywords: intelligence logic


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