IoE Management Device for Automated Customer Service
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing number of Internet of Everything (IoE) devices in various environments generates a need for efficient management of large amounts of disorganized data to automate customer service, particularly in identifying and addressing abnormal behavior of monitored devices.
Innovation Solution
An IoE management device that collects sensor data from multiple sensors, including those not integrated into the monitored device, analyzes this data to determine abnormal behavior, and transmits reports to customer service entities for timely intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data is collected and analyzed to identify abnormal behavior of IoE devices, then customer service reliability is improved, but device complexity increases due to the need for data collection and analysis systems
Solution Approach 1:
The patent introduces an IoE management device as an intermediary between sensors and customer service entities. This mediator collects sensor data, analyzes it for abnormal behavior, and communicates with customer service entities, thereby improving reliability without requiring direct complex integration between all system components.
Solution Approach 2:
The system enables automated self-monitoring and self-reporting of device anomalies. The IoE management device automatically collects data, performs analysis, and generates reports without human intervention, improving customer service reliability while reducing the operational complexity of manual monitoring.
2Productivity
If automated data collection and analysis is implemented, then productivity of customer service is improved, but device complexity increases due to automation infrastructure requirements
Solution Approach 1:
The IoE management device performs automated data collection, analysis, and report generation without human intervention. This self-service automation improves customer service productivity by rapidly processing device data and identifying issues, while the modular architecture manages the complexity of the automation infrastructure.
Solution Approach 2:
The system implements automated feedback loops where sensor data is continuously collected, analyzed for anomalies, and reported to customer service entities. This feedback mechanism improves productivity by enabling rapid detection and response to device issues, while the structured feedback process manages system complexity.
3Measurement precision
If multiple sensors including external sensors are used to monitor devices, then measurement precision of device behavior is improved, but device complexity increases due to multiple sensor integration
Solution Approach 1:
The IoE management device serves as an intermediary that consolidates data from multiple sensors including external ones. This mediator approach improves measurement precision by aggregating diverse sensor inputs, while managing the complexity of sensor integration centrally rather than at each device level.
Solution Approach 2:
The IoE management device performs multiple functions including data collection from various sensors, data analysis, anomaly detection, and communication with customer service entities. This multi-functionality improves measurement precision through comprehensive monitoring while managing integration complexity through a universal platform.
Data Source
AI summary
Systems and methods are disclosed for automating customer service for a monitored device (MD). A method for an Internet of Everything management device to automate customer service for a monitored device comprises collecting sensor data from a plurality of sensors, wherein the plurality of sensors comprises a first sensor that is not included in the MD, determining whether the MD is exhibiting abnormal behavior based on an analysis of the collected sensor data, and transmitting a report to a customer service entity associated with the MD in response to a determination that the MD is exhibiting abnormal behavior.