Page 84 - FoodFocusThailand No.173 August 2020

SMART PRODUCTI
SMART PRODUCTIONON

Digitalization in Food Industry

Since the CIP concept was introduced to food industry in 1957, extensive efforts have been invested in developing
and refining its system’s hardware and design. Some were allotted on the advancement of programing and
PLC to improve the level of automation.

All works are to fulfill the 2 important requirements to achieve optimum CIP’s Innovative Digital Program 1
and repeatable cleaning result Innovative digital program that will rationalize your CIP raw data can
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1) Hygienic Design give below benefits to the industry;
2) Sinner’s Circle or 4 T’s: • Better Visibility: Enables a better real time visibility across critical
• The flow – mechanical action (Turbulence) unit operations, and everything is within your fingertips i.e. How many
• The temperature – right temperature for better chemical reaction runs yesterday? How many is good run? Why is it a bad run?
(Temperature) • Operational Integrity and Predictability: Better digital data
• The concentration – optimum chemical concentration (Titration) quality rather than manual data gathering helps to protect data’s
• The time – optimum time for each set/ process (Time) integrity and predict estimated trends for operations.
• Enabling Proactive Action: Trend Patterns for continuous
Throughout the years, data acquisition program has been part of the monitoring can enable early corrective actions.
development. However, the progress has been slow and at some point, • Scalability with operations: Future proof Digital Platform which
it went idle in the trend chart, so it has not been appreciated by the industry. can scale up as operations are enhanced as well. Future refinement
Most of the time, the industry did not really, was not willing or never and updates to the Digital Platform can be implemented with relative
bothered at all to take further step to invest on the resources for capturing ease, just like apps on our smart phones.
additional CIP data and making it available. This is the result of industry’s • Optimisation Potential: Based on the collected data, it is
belief that the ROI is not enough to justify the investment. In turn, we potentially that there would be several optimisation potentials.
settle on manual recording by worker and limit the availability of data that • Technical Expertise & Support: As with complete offerings, this
will help the plant make good judgment. Digital Platform comes with the full support of the extensive technical
Deliberately concluding, the industry limits necessary CIP data on 4 expertise in Cleaning & Sanitation as well as Utilities.
T’s, which is inefficient to generate important decision and understand • 24 X 7 Monitoring: The system will monitor and benchmarking
their CIP performance. The limited CIP information only satisfies their the pre-set parameter for every CIP; and will email alerting if the run
compliance to the certification’s requirement. The scenario can be best is not compliance with the parameter. This digital platform also offer
illustrated by Picture below. continuous remote monitoring of the critical systems for better
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response and action.
Industry Perception:
• Data available is only what can be easily seen – the 4 T’s.
• Experience said –
Nothing much to do with ข้้อมููลเพิ่่�มูเติ่มู/Additional Information
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the information aside from โปรแกรมดิิจิิทััลสำำ�หรับข้้อมูล CIP ทั่�ไดิ้รับ
audit purposes which is ก�รพััฒน�โดิยทั่มเทัคโนโลย่ปัญญ�
ประดิิษฐ์์จิ�ก Ecolab โดิยโปรแกรม
true at some points. สำ�ม�รถสำั�งว่่� "เม่�อไรคว่รทัำ�คว่�มสำะอ�ดิ
In fact, what you see is เม่�อไรคว่รหยุดิ และผลลัพัธ์์"
just tip of the crop. There Digital solutions program developed
are much more than you by ECOLAB’s AI team that will
can imagine. But the rationalize CIP raw data. This program
question is… How can this then can tell “when to clean, when to
data become useful to you stop and a preventive outcome base
program”
and to your corporate 2 ทั่มคว่บคุมระบบ (System Assurance
drivers? หร่อ SAC) อยู่ทั่�เม่องปูเน่ ประเทัศอินเดิ่ย
System Assurance Centre (SAC) from
Pune, India

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