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It's maybe the most dangerous thing that we can do. Online.
We're going from a couple of configurations to data rolling through a dashboard!
Join Dave and Vlad as Francisco Carrión helps us build an energy monitoring solution.
We'll start out by saying that the technology stack is not the most important part of this build. We're using tools that we know - but you could just as easily swap in different hardware or use a platform that you currently own.
𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐮𝐬𝐢𝐧𝐠?
Opto22 Rio EMU (Energy Monitoring Unit)
MQTT as a protocol.
Inductive Automation's Ignition as our dashboarding and visualization.
𝐖𝐡𝐚𝐭 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐚𝐬𝐞𝐬 𝐚𝐫𝐞 𝐰𝐞 𝐭𝐫𝐲𝐢𝐧𝐠 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞?
𝘔𝘪𝘥-𝘴𝘪𝘻𝘦𝘥 𝘖𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯.
Corp X is spending a significant amount each month ($10-30,000) on variable cost power.
Corp X needs to know where and how they are spending this money and see how they can spend less.
The cost of power continues to rise, but Corp X is not able to charge more in relation to these variable costs.
1) How can Corp X understand how/where they are using power and spending this money?
2) How can Corp X make decisions to spend less, or at least have the choice to continue to spend at this rate?
𝘓𝘢𝘳𝘨𝘦 𝘖𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯.
Corp Z doesn't know how much they will spend on energy before the bill comes due. Corp Z must know the fluctuating cost of kWh and their power usage.
The current estimates of the monthly power bill vary greatly, with error margins of +/- 25%. Corp Z wants to accurately predict the bill within 5%.
Corp Z is a Speciality Chemical group that averages $1,000,000/mo in the energy bill.
1) How can Corp Z spend less money that doesn't affect the production/quality?
2) Corp Z contractually required co-generation. How can Crop Z optimize this?
#manufacturing #automation #engineering #digitaltransformation #energy
We're going from a couple of configurations to data rolling through a dashboard!
Join Dave and Vlad as Francisco Carrión helps us build an energy monitoring solution.
We'll start out by saying that the technology stack is not the most important part of this build. We're using tools that we know - but you could just as easily swap in different hardware or use a platform that you currently own.
𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐮𝐬𝐢𝐧𝐠?
Opto22 Rio EMU (Energy Monitoring Unit)
MQTT as a protocol.
Inductive Automation's Ignition as our dashboarding and visualization.
𝐖𝐡𝐚𝐭 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐚𝐬𝐞𝐬 𝐚𝐫𝐞 𝐰𝐞 𝐭𝐫𝐲𝐢𝐧𝐠 𝐭𝐨 𝐬𝐨𝐥𝐯𝐞?
𝘔𝘪𝘥-𝘴𝘪𝘻𝘦𝘥 𝘖𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯.
Corp X is spending a significant amount each month ($10-30,000) on variable cost power.
Corp X needs to know where and how they are spending this money and see how they can spend less.
The cost of power continues to rise, but Corp X is not able to charge more in relation to these variable costs.
1) How can Corp X understand how/where they are using power and spending this money?
2) How can Corp X make decisions to spend less, or at least have the choice to continue to spend at this rate?
𝘓𝘢𝘳𝘨𝘦 𝘖𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯.
Corp Z doesn't know how much they will spend on energy before the bill comes due. Corp Z must know the fluctuating cost of kWh and their power usage.
The current estimates of the monthly power bill vary greatly, with error margins of +/- 25%. Corp Z wants to accurately predict the bill within 5%.
Corp Z is a Speciality Chemical group that averages $1,000,000/mo in the energy bill.
1) How can Corp Z spend less money that doesn't affect the production/quality?
2) Corp Z contractually required co-generation. How can Crop Z optimize this?
#manufacturing #automation #engineering #digitaltransformation #energy
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