20240040422. 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 20240040422 titled 'Asset Management and IOT Device for Refrigerated Appliances
Simplified Explanation
The abstract of this patent application describes an asset management system that connects various types of refrigeration appliances to an asset manager through an asset management network. IoT devices are connected to the refrigeration appliances at the device layer and have edge compute capability, backup power management function, and a modem for network communication. These IoT devices integrate with sensors, switches, and/or serial data controllers of the refrigeration appliances and initiate push notification alarms at the edge of the network. The operating data of the appliances is tagged by serial number and stored by the asset manager, which 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 and used to develop new predictive models.
- The asset management system connects refrigeration appliances to an asset manager through a network.
- IoT devices with edge compute capability are connected to the refrigeration appliances.
- IoT devices have backup power management function and a modem for network communication.
- IoT device ports integrate with sensors, switches, and/or serial data controllers of the refrigeration appliances.
- Push notification alarms are initiated by IoT devices at the edge of the network.
- Operating data of the appliances is tagged and stored 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
- Asset management and monitoring of refrigeration appliances in various industries such as food and beverage, pharmaceuticals, and logistics.
- Predictive maintenance of refrigeration appliances to reduce downtime and improve efficiency.
- Optimization of energy consumption and cost in refrigeration systems.
- Remote monitoring and control of refrigeration appliances for improved operational efficiency.
Problems Solved
- Lack of centralized asset management and monitoring for refrigeration appliances.
- Inefficient maintenance practices leading to increased downtime and costs.
- Limited visibility into the performance and health of refrigeration systems.
- Inability to proactively address issues and prevent equipment failures.
Benefits
- Improved asset management and monitoring capabilities for refrigeration appliances.
- Enhanced predictive maintenance to reduce downtime and improve efficiency.
- Increased visibility into the performance and health of refrigeration systems.
- Proactive issue resolution and prevention of equipment failures.
- Optimization of energy consumption and cost in refrigeration systems.
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.
