Embodiments of this disclosure relate to electronic information, and disclose a smart refrigerator based on big data analysis of a server, including a refrigerator body, a collector, and a communication circuit. The collector is disposed in the refrigerator body and is used to collect human body health parameter information. The communication circuit is disposed in the refrigerator body and is connected to the collector, and is used to: upload human body health parameter information to a server, obtain a diet solution that is returned by the server after the server performs big data analysis on the human body health parameter information, and push the diet solution. This disclosure further discloses a health management method based on a smart refrigerator and a health management system. The smart refrigerator based on big data analysis of a server, the health management method based on a smart refrigerator, and the health management system that are provided in the embodiments of this disclosure can help a user properly plan healthy diets.

Disclosed herein is a method of controlling an intelligent refrigerator, the method including: obtaining registration information of food comprising an expiration date; storing the registration information; and comparing an expiration date of foods stored in the refrigerator with a current date based on the registration information and visually indicating an alarm on the food, if the remaining days to the expiration date are smaller than a predetermined threshold value.

A system for evaluating insulation properties of a thermally insulated transport unit contains at least one thermally insulated transport unit for transporting and/or storing goods. The thermally insulated transport unit contains at least one temperature sensor configured to provide actual temperature data of the temperature within the thermally insulated transport unit. The system also includes at least one evaluation component for evaluating the insulation properties, at least based on a comparison of actual temperature data and calculated temperature data based on a thermal model of the thermally insulated transport unit.

A refrigerator and/or freezer unit and system for storing, monitoring, and maintaining a supply of temperature sensitive pharmaceutical products in compliance with regulatory requirements. The unit contains compartments for each product type in multiple controlled temperature zones with sensors to track product status and content. In a system, each unit communicates with an application service provider to provide remote inventory management capability.

A method for verifying an alarm condition in an environmental sensing system includes monitoring data received from environmental sensors; detecting anomalous data received from one of the plurality of environmental sensors; determining the context in which the anomalous data was acquired is consistent with typical usage activities; and providing an alarm condition alert when the determined context is not consistent with typical activities. A system for intelligently monitoring environmental conditions includes environmental sensors configured to monitor first and second environmental conditions and to communicate with an intelligent analysis module. The intelligent analysis module is configured with logic to determine whether anomalous data has been collected by the environmental sensors, to determine the context in which the anomalous data was collected, to determine whether the anomalous data can be attributed to a routine activity, and to provide an alarm condition if the anomalous data cannot be attributed to a routine activity.

One or more example embodiments provide a vending machine (105) that detects refrigerant leaks. The vending machine includes a main cabinet (605), a sensor circuit (615), and control equipment (830). The sensor circuit is configured to detect a refrigerant leaked in the main cabinet. The control equipment is configured to operate a component (620) of the refrigerated vending machine based on the detected refrigerant.

A system includes a door sensor that provides a status of whether a door of a refrigeration system is open or closed, a temperature sensor that measures a temperature of a food compartment of the refrigeration system, a power sensor that measures an amount of power consumed by the refrigeration system, and a compressor sensor that provides acoustic data about a compressor of the refrigeration system. The system further includes a remote computing system configured to send an alert indicating that the refrigeration system needs servicing when the temperature of the food compartment of the refrigeration system is determined to be above a predetermined temperature while: the door of the refrigeration system is closed, the amount of power consumed by the refrigeration system is within a predetermined power range, and acoustic signals of the compressor of the refrigeration system are within a predetermined acoustic range.

Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously enable smart refrigeration systems including retail.

The invention relates to a method for real-time performance check of transport refrigeration units comprising the steps of: comparing via controller temperature sensors by pairs and determining from these comparisons by pairs if one or more temperature sensors are defective or in some extent deviates from expected temperature readings; at the same time measuring/monitoring the mass flow of cooling agent through a compressor and through an evaporator expansion valve V.sub.exp which the controller by comparison determines if mass flow through the compressor do not deviate more than 25% from the mass flow through that evaporator expansion valve V.sub.exp; if said deviation of mass flow through the compressor is more than 25% different from said mass flow through the expansion device V.sub.exp, an error signal is provided

An artificial intelligence refrigerator includes a communication unit, a camera configured to capture an image of a tray including a plurality of grooves for storing food, and a processor configured to control the communication unit and the camera. The processor extracts a marker hidden by the food of a plurality of markers respectively attached to the plurality of grooves from the captured image of the tray, acquires a position identifier of a groove corresponding to the hidden marker and a reception time indicating that the food is received in the groove, transmits the acquired position identifier and the reception time to a server through the communication unit, receives determined color information from the server based on the reception time, and controls a light emitting element provided in the groove to output a color to be displayed on the groove included in the received color information.