SmartLog Case Studies Increasing Asset Health & Uptime: Chiller Connect

	Increasing Asset Health & Uptime: Chiller Connect SmartLog

Increasing Asset Health & Uptime: Chiller Connect

SmartLog

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics Functional Applications - Enterprise Asset Management Systems (EAM) Networks & Connectivity - LoRa Sensors - Temperature Sensors
Applicable Industries	Equipment & Machinery
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	Companies are facing greater challenges than ever before when it comes to making sure their cooling equipment operates at maximum efficiency. One of the challenges is the need to understand how equipment is performing to optimize their use, their health and to anticipate issues and failures. Having an HVAC service engineer who continuously monitors the chiller is unrealistic. Read More
About Customer	Combining embedded based chiller data and an AI engineer results in a move from maintenance to prevention and predictability. Optimizing asset health, minimizing asset failures and understanding optimal maintenance programs are critical to reducing operat Read More
Customer Name	Undisclosed Read More
Solution	Smart sensors in combination with embedded based chiller data infrastructure delivers real-time, historical and predictive insights into chiller health and maintenance needs. Read More Log in to view content
Data Collected	Asset Status Tracking, Asset Utilization, Cooling Meters, HVAC ( heating, ventilation, air conditioning), Uptime Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Functional Applications - Enterprise Asset Management Systems (EAM)

Networks & Connectivity - LoRa

Sensors - Temperature Sensors

Applicable Industries

Equipment & Machinery

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

Companies are facing greater challenges than ever before when it comes to making sure their cooling equipment operates at maximum efficiency. One of the challenges is the need to understand how equipment is performing to optimize their use, their health and to anticipate issues and failures. Having an HVAC service engineer who continuously monitors the chiller is unrealistic.

About Customer

Combining embedded based chiller data and an AI engineer results in a move from maintenance to prevention and predictability. Optimizing asset health, minimizing asset failures and understanding optimal maintenance programs are critical to reducing operat

Customer Name

Undisclosed

Solution

Smart sensors in combination with embedded based chiller data infrastructure delivers real-time, historical and predictive insights into chiller health and maintenance needs.

Data Collected

Asset Status Tracking, Asset Utilization, Cooling Meters, HVAC ( heating, ventilation, air conditioning), Uptime

Impact #1	[Efficiency Improvement - Asset Utilization] Optimizing asset health.Minimizing asset failures.
Impact #3	[Cost Reduction - Operation] Reduce operation cost, improve customer service and create service-level agreements

Impact #1

[Efficiency Improvement - Asset Utilization]
Optimizing asset health.Minimizing asset failures.

Impact #3

[Cost Reduction - Operation]
Reduce operation cost, improve customer service and create service-level agreements

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Overview

Increasing Asset Health & Uptime: Chiller Connect

Operational Impact