20240039997. Asset Management and IOT Device for Refrigerated Appliances simplified abstract (True Manufacturing Co., Inc.)
Asset Management and IOT Device for Refrigerated Appliances
Organization Name
Inventor(s)
Dominik Gothe of O'Fallon MO (US)
Asset Management and IOT Device for Refrigerated Appliances - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240039997 titled 'Asset Management and IOT Device for Refrigerated Appliances
Simplified Explanation
The abstract of the patent application describes an asset management system that connects various types of refrigeration appliances to an asset manager through an asset management network. The system includes IoT devices at the device layer, which are connected to the refrigeration appliances and have edge compute capability, backup power management function, and a modem for network communication. The IoT devices integrate with sensors, switches, and/or serial data controllers of the refrigeration appliances. Push notification alarms are initiated by the IoT devices at the edge of the network. The operating data of the appliances is tagged and stored using serial numbers as primary keys by the asset manager. The asset manager streams data from multiple appliances and uses event-driven processing to promptly respond to edge alarms. The operating data, enriched with proprietary data organized by appliance type, is used to develop new predictive models.
- The asset management system connects refrigeration appliances to an asset manager through an asset management network.
- IoT devices with edge compute capability, backup power management function, and a modem are connected to the refrigeration appliances.
- IoT devices integrate with sensors, switches, and/or serial data controllers of the refrigeration appliances.
- Push notification alarms are initiated by the IoT devices at the edge of the network.
- The asset manager stores operating data using serial numbers as primary keys.
- The asset manager streams data from multiple appliances and uses event-driven processing to respond to edge alarms.
- The operating data is enriched with proprietary data organized by appliance type.
- The enriched data is used to develop new predictive models by appliance type.
Potential Applications
- Efficient asset management and monitoring of refrigeration appliances.
- Predictive maintenance and fault detection for refrigeration appliances.
- Optimization of energy consumption and performance of refrigeration appliances.
- Enhanced data-driven decision making for asset management in the refrigeration industry.
Problems Solved
- Lack of centralized asset management and monitoring system for refrigeration appliances.
- Inefficient maintenance practices and delayed response to alarms.
- Limited visibility into the operating data and performance of refrigeration appliances.
- Difficulty in developing predictive models for different types of refrigeration appliances.
Benefits
- Improved asset management and maintenance efficiency.
- Early detection of faults and proactive maintenance.
- Enhanced performance and energy optimization of refrigeration appliances.
- Data-driven decision making for asset management.
- Development of predictive models for better appliance performance and reliability.
Original Abstract Submitted
an asset management system includes an asset management network that connects various types of refrigeration appliances to an asset manager. at the device layer, iot devices are connected to the refrigeration appliances and have edge compute capability, including a backup power management function, and a modem for network communication. iot device ports directly integrate with sensors, switches, and/or serial data controllers of refrigeration appliances. push notification alarms are initiated on the edge of the network by iot devices. the network tags operating data by appliance serial, and the asset manager stores the data using serial numbers as primary keys. the asset manager streams data from numerous appliances and uses event driven processing to promptly respond to edge alarms. the operating data keyed by serial number is enriched with proprietary data organized by appliance type and is used to develop new predictive models by appliance type.
