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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 Carri贸n 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.
饾悥饾悺饾悮饾惌 饾悮饾惈饾悶 饾惏饾悶 饾惍饾惉饾悽饾惂饾悹?
Opto22 Rio EMU (Energy Monitoring Unit)
MQTT as a protocol.
Inductive Automation's Ignition as our dashboarding and visualization.
饾悥饾悺饾悮饾惌 饾悂饾惍饾惉饾悽饾惂饾悶饾惉饾惉 饾悅饾悮饾惉饾悶饾惉 饾悮饾惈饾悶 饾惏饾悶 饾惌饾惈饾惒饾悽饾惂饾悹 饾惌饾惃 饾惉饾惃饾惀饾惎饾悶?
饾様饾槳饾槬-饾槾饾槳饾樆饾槮饾槬 饾槚饾槼饾槰饾槩饾槸饾槳饾樆饾槩饾樀饾槳饾槹饾槸.
Corp X is spending a significant amount each month ($10-30,000) on variable cost power.聽
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?
饾槗饾槩饾槼饾槰饾槮 饾槚饾槼饾槰饾槩饾槸饾槳饾樆饾槩饾樀饾槳饾槹饾槸.
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.聽
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?聽
#manufacturing #automation #engineering #digitaltransformation #energy
By Vlad Romanov & Dave Griffith5
1818 ratings
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 Carri贸n 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.
饾悥饾悺饾悮饾惌 饾悮饾惈饾悶 饾惏饾悶 饾惍饾惉饾悽饾惂饾悹?
Opto22 Rio EMU (Energy Monitoring Unit)
MQTT as a protocol.
Inductive Automation's Ignition as our dashboarding and visualization.
饾悥饾悺饾悮饾惌 饾悂饾惍饾惉饾悽饾惂饾悶饾惉饾惉 饾悅饾悮饾惉饾悶饾惉 饾悮饾惈饾悶 饾惏饾悶 饾惌饾惈饾惒饾悽饾惂饾悹 饾惌饾惃 饾惉饾惃饾惀饾惎饾悶?
饾様饾槳饾槬-饾槾饾槳饾樆饾槮饾槬 饾槚饾槼饾槰饾槩饾槸饾槳饾樆饾槩饾樀饾槳饾槹饾槸.
Corp X is spending a significant amount each month ($10-30,000) on variable cost power.聽
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?
饾槗饾槩饾槼饾槰饾槮 饾槚饾槼饾槰饾槩饾槸饾槳饾樆饾槩饾樀饾槳饾槹饾槸.
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.聽
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?聽
#manufacturing #automation #engineering #digitaltransformation #energy

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