1 / 25

Why Predictive Maintenance in Dairy Industry is a necessity? Know here

An average life of a Dairy Equipment can be increased by 30-35% or even more with predictive maintenance. Therefore, predictive maintenance in Dairy Industry is necessary. Know more details in this presentation.<br>Visit here to know about Infinite Uptime: https://bit.ly/2WBFRW7 <br>

Télécharger la présentation

Why Predictive Maintenance in Dairy Industry is a necessity? Know here

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. A Global Solution Provider with Patented Mechanical Predictive Analytics.

  2. WHY CHOOSE US

  3. STATISTIC S ✔ ✔ 10000+ installations globally ✔ Installations in Japan, India, Canada, Mexico, Saudi Arabia, Germany and France ✔ ✔ Over 25 Million FFT spectra analyzed ✔ ✔ Approved by 12 OEMs as a feature in their products ✔ Deployed across large factories and refineries SCALABLE EQUIPMENT DIGITIZATION & MONITORING

  4. OEM CUSTOMERS :INDIA AND GLOBAL All Industry 4.0 SMART Presses by ISGEC are standardized on the Infinite Uptime technology with 2 IDE and 1 PLC as data sources All Industry 4.0 SMART Motors by Siemens are standardized on the Infinite Uptime technology with 2 IDE per motor All Industry 4.0 SMART Motors by Crompton Greaves are standardized on the Infinite Uptime technology with 2 IDE per motor All Industry 4.0 SMART Furnaces by Aichelin globally are standardized on the Infinite Uptime technology with 6 IDE per furnace

  5. CUSTOMERS :INDIA AND GLOBAL

  6. Technology & Features

  7. INDUSTRY GAP: LACK OF MECHANICAL PREDICTIVE ANALYTICS 20% of breakdown 5% of breakdown Hydraulics • Thermal • • • • • • Pressure Temperature Flow Rate Contamination Density • • • Temperature Thermal Mapping Thermal Flux Standard IoT (sensors + wireless transmission) Standard IoT (sensors + wireless transmission) 70% of breakdown 5% of breakdown Mechanical • • Electrical • • • • • • • • • • • • Wear Deterioration Backlash Increase in clearances Vibrations Acoustics Electronics Life Power surge Current Voltage Power factor Energy Efficiency Very high frequency data Difficult to decipher signal from noise Bandwidth limitations Storage limitations Standard IoT does not work :-/ Standard IoT (sensors + wireless transmission)

  8. IDE: DIGITIZE ANY EQUIPMENT IN UNDER 1 MINUTE Installs on any machine within seconds through a magnetic connection. Immediate feedback through visual fault-detecting indicators. Monitor remotely and wirelessly, to mirror notifications and record data. 1 2 3

  9. PRODUCT INSTALLATION ✔ Digitize a machine in under 1 minute ✔ Totally non-invasive and self-contained ✔ ✔ Magnetic mounting ✔ ✔ Multiple communication options, no additional infrastructure needed ✔ Extremely user-friendly and easy-to-use, can be set up remotely Infinite Uptime IDE PLUG-AND-PLAY SCALABLE INSTALLATION

  10. EDGE COMPUTING TECHNOLOGY Cloud infrastructure with backend data analytics and dashboard Local machine monitoring software and visualization Industrial Data Enabler Cloud computing with unsupervised learning CORE IP Edge Computing + Time series pattern recognition (unsupervised learning / AI) Edge computing Edge computing 2 INTERNATIONAL PATENTS

  11. FFT ANALYTICS USING IDE: INSIGHTS Insights: •Capable of measuring tri-axial high-frequency mechanical vibrations, temperature, and acoustics. • Configurable Frequency based diagnostic on the edge through API. • Deployable on Premises and can be integrated with any IoT Platform. “FFT ON DEMAND” OR AT PRE-DEFINED REGULAR INTERVALS

  12. DYNAMIC THRESHOLDING TECHNOLOGY • No manual setting of thresholds or limits for predictive maintenance in future to drive scale • After 10,000 data points, the software and algorithms will automatically estimate the best thresholds based on a median technique and will improve over time • Tagging and feedback from users will further strengthen the alarm conditions and improve the prediction accuracy per asset

  13. MAINTENANCE DASHBOARD FOR A TYPICAL PLANT

  14. IMPORTANCE OF DAIRY INDUSTRY India is the highest milk producer in the world. India is one of the largest dairy industry in the world. It produces 41% of the world’s dairy products. The dairy sector plays an important role in the country's socio-economic development. The dairy market in India reached a value of INR 9,168 Billion in 2018. The industry contributes to 4% of the national GDP. The industry provides employment to about 8.8 % of the population in India. 71% of the employees are women. The dairy sector today provides 80% of farm households with the triple benefits of nutritive food, supplementary income and productive employment for family labor. The dairy industry has a compounded annual growth of 15%.

  15. WHY MAINTENANCE IN DAIRY INDUSTRY IS NECESSARY?

  16. WHY ROUTINE MAINTENANCE DOES NOT COMPLEMENT PREVENTIVE MAINTENANCE? Consistent presence of dirt, dust, metal particles, hardened grease deposits and other foreign materials makes routine maintenance insufficient to run the processes in the plant. Improper Lubricant used for incorrect equipment Lubrication Issues Unavailability of prescribed lubricants and anti-corroding agents compel the use of available maintenance fluids to be used for servicing and caring of equipment. Over-lubrication and under-lubrication Routine Maintenance Issues Improper cleaning methods and humid environment Bad house-keeping practices such as storage of grease in uncovered containers, spilling of grease on the equipment, ignorance to ammonia leaks, poor ventilation reduces the overall performance & efficiency of the equipment. Corrosion & Contamination issues

  17. WHY PREDICTIVE MAINTENANCE IS NECESSARY?

  18. PRODUCTS OF DAIRY INDUSTRY Dairy producers ensure the safety and quality of the products. Dairy products are a major constituent of everyday diet.

  19. IMPORTANT PROCESSES IN DAIRY INDUSTRY

  20. IMPORTANT EQUIPMENT IN DAIRY INDUSTRY Homogenizer Churner Pasteurizer Milking equipment Milk separator The Churner is cleaned immediately after use with an evaporator or dryer to prevent rusting. A scrubbing brush cleans churner using hot water which removes fatty residues. A motor drives the dryer or evaporator. Homogenizer is heavy equipment, operating at high pressures. It's base has a drive end consists of an electric motor connected to the drive shaft by pulley and belts. Ideally, after six months or 1000 hours of service, the motor bearings need to be lubricated. A pasteurizer, is the heart of a dairy and consists of plates, filter, gaskets, frame. It is powered by motor which must be overhauled once in a year. Efficient pasteurization with minimum service-requirement reduces operating-cost of a dairy. It is a vital process in manufacturing curd, cheese, and ice-cream. Milk separator is a centrifugal device, which operates continuously. It reduces the fatty content in the milk. The balancing of the bowl that receives separated milk from feed pump must be monitored. Gears in separator-assembly must be monitored. Broken-down or inefficient milking equipment cost in reduced quantity of milk, time, damaged udders and reduced milk quality. Monitoring the vacuum pumps for belt tension (within 0.5- inch from rest position) is vital.

  21. A smarter future for industries

  22. INFINITE UPTIME, INC. 2150 Shattuck Avenue, Berkeley, CA - 94704 USA contact@infinite-uptime.com Ph: +1-510-978-1150 INFINITE UPTIME INDIA PVT LTD Office 3rd, 5th floor, Vasundhara Space, Nagras Road, Aundh, Pune contact@infinite-uptime.com Ph: +91-8956734745 Let’s Connect

More Related