20240048620. 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 20240048620 titled 'Asset Management and IOT Device for Refrigerated Appliances
Simplified Explanation
The abstract 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 network communication capabilities. 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 asset manager stores operating data tagged by appliance serial numbers and uses event-driven processing to respond to edge alarms promptly. 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 are connected to the refrigeration appliances.
- The IoT devices have backup power management function and network communication capabilities.
- 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 asset manager stores operating data tagged by appliance serial numbers.
- Event-driven processing is used to promptly 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.
Potential Applications
- Asset management and monitoring of refrigeration appliances in various industries such as food and beverage, pharmaceuticals, and logistics.
- Predictive maintenance of refrigeration appliances to minimize downtime and optimize performance.
- Energy management and optimization of refrigeration systems.
- Remote monitoring and control of refrigeration appliances for improved efficiency and cost savings.
Problems Solved
- Lack of centralized asset management and monitoring for refrigeration appliances.
- Inefficient maintenance practices leading to increased downtime and costs.
- Limited visibility and control over the performance and energy consumption of refrigeration systems.
- Manual data collection and analysis, resulting in delayed response to alarms and inefficiencies in decision-making.
Benefits
- Improved asset management and monitoring efficiency.
- Enhanced predictive maintenance capabilities.
- Optimized energy consumption and cost savings.
- Real-time alarms and alerts for prompt response to issues.
- Data-driven decision-making and development of new predictive models.
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.
