Home Appliances Predictive Maintenance

• Innovative after sales predictive maintenance service for home appliances, thus helping consumers extend the life of appliances and its monitoring, in line with circular economy strategies
• Additionally, the replacement of non-efficient home appliances for updated appliances and much more efficient ones

Input(s):

• Algorithms capable of analysing consumption patterns
• Cloud platform for data acquisition, storage and analysis
• Know-how on data analysis

Main feature(s):

• Energy consumption, vibration, and temperature readings
• Consumption Ratings simulation: transforming raw data into a friendly/well known format
• Usage readings, focused on ensuring a responsible usage of the appliances
• Commercial benefits via appliances upgrade/update suggestion: better / more efficient appliances
• Preventive maintenance alerts: -- Commercial benefits via Services -- Sustainability benefits via extended lifetime of the appliance & malfunction reduction
• Malfunction detection -- Click to repair if the appliance is not working
• More data could be translated to a better knowledge of the appliance and it´s top defective components -- To a better predictive management of spare parts production -- To a faster and more efficient repair process

Output(s):

• Predictive maintenance algorithms able to detect and/or predict faults in home appliances
• A system that can detect and predict home appliance faults by analysing their power consumption patterns, vibration and temperature
• A tested API/ testbed
• User Interfaces for end-users (expected final costumers) and maintenance/after-sales professionals
• Standalone Device (the smart connector) to collect energy consumption, vibration, and temperature data

• GDPR
• Data complexity and size
• Data readiness

Final consumers and maintenance/after sales professionals.

To be defined by ISEP and CleanWatts to other projects and initiatives, as the technological and developer partners.