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AI-OPTIMIZED UF MEMBRANES FOR A TOP U.S. SEMICONDUCTOR MANUFACTURER

For a leading U.S. semiconductor manufacturer, our sister
company, Gradiant deployed a high-recovery LSR system
achieving 90% water recycling. To further enhance performance,
Turing integrated SmartOps AI, delivering the UF membrane
optimization module (PerformLSR). The platform analyzes large
datasets, recommends optimal setpoints, and provides early
anomaly detection to prevent off-spec conditions.

With secure on-premises deployment and weekly algorithm
updates, SmartOps AI ensures continuous, real-time optimization
and reliable plant performance while supporting the client’s
broader sustainability goals.

The Challenge

The client needed to meet strict effluent quality standards while
increasing membrane recovery and extending membrane lifespan.
Manual monitoring and adjustments couldn’t keep up with the high
variability of influent conditions, membrane health, and
production-driven changes making consistent optimization
difficult. Improving performance, reducing OPEX, and protecting
membrane life required an AI solution capable of processing
hundreds of parameters in real time. At the same time,
cybersecurity demands called for a fully on-premise deployment.

The Solution

Perform module was deployed on-premise, ensuring data security
while providing real-time analysis and recommendations for optimal
operation. Perform module continuously monitors multiple
parameters, and utilizes reinforcement learning to suggest optimal
setpoints to enhance system efficiency. In addition, the Perform
module includes an anomaly detection feature to identify deviations
in performance trends, alerting operators to potential issues before
they escalate.


Ensuring continuous improvement, Turing’s data science team visits
the site weekly to refine the Perform module. This hands-on
approach guarantees that the system remains highly effective and
customized to the client’s specific needs.

The Benefits

  • 100% Effluent Compliance: Perform ensures water quality
    standards are consistently met, avoiding regulatory
    penalties.
  • Increased Recovery Rates: Optimized setpoints allow for
    higher recovery percentages, reducing wastewater and
    improving sustainability.
  • Extended Membrane Lifespan: By preventing
    unnecessary strain and identifying potential issues early,
    Perform extends membrane durability.
  • Enhanced Operator Decision-Making: AI-driven insights
    support operators in managing complex systems with
    greater accuracy and efficiency.
  • On-Premises Deployment for Cybersecurity: Sensitive
    data remains secure within the client’s infrastructure,
    meeting strict security requirements.
  • Continuous Optimization: Weekly algorithm updates by
    the data science team ensure ongoing improvements
    and maximum operational efficiency.
mobile and laptop graphic 1
SmartOps AI Dashboard

Fast Facts

Location:

Singapore

End-User:

Leading Semiconductor Manufacturer

Industry:

Microelectronics

Feedwater Source:

Local Scrubber Wastewater

Technology Used:

SmartOps AI

System Configuration:

On-premises AI deployment with real-time monitoring and anomaly detection

System Capacity:

9,600 m3/day

Technology:

PerformLSR

Online Date:

11 February 2025

Delivery Model:

On-Premises Deployment with Weekly On-Site Algorithm Updates



UF% Recovery: Increased from 94% to greater than 96%

Over $160,000 projected yearly savings from energy, chemical and water

59% increase in water treated per UF production cycle

This document is for general information only. No warranty or guarantee whatsoever is given or implied and Turing is not bound by or liable for or by the information contained herein. Customer has the sole responsibility to determine whether the information in this document are appropriate for Customer’s use, including without limitation actual site, geographical, and plant conditions, specifications, requirements, disposal, applicable laws and regulations. This document is the intellectual property of Turing, including but not limited to any patent or trademark contained in this document. Distribution of this document is not and does not imply any transfer of Turing’s intellectual property.

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