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.

A method for detecting whether an article with an abnormal temperature is placed in a refrigerator. The method includes: controlling a plurality of infrared sensors to collect temperature values after a door body is opened; determining whether an abnormal storage space in which the article with the abnormal temperature is possibly placed exists in a plurality of storage spaces; acquiring a first temperature change value of the abnormal storage space between time points before and after the article with the abnormal temperature is possibly placed in the abnormal storage space and a second temperature change value of the abnormal storage space caused by heat exchange between an external environment and the abnormal storage space between said time points; and determining whether the article with the abnormal temperature is placed in the abnormal storage space according to the first temperature change value and the second temperature change value.

An artificial intelligence device includes a temperature sensor configured to measure a temperature of a product to be frozen, and a processor configured to acquire, via the temperature sensor, temperature distribution information about at least a part of the product, acquire frozen state information including at least one of freezing progress information, surface temperature information, or ambient temperature information about the product, based on the temperature distribution information about the product, and acquire a remaining freezing time until the product is frozen to a target frozen state, based on the frozen state information about the product.

Systems and methods can control refrigeration within a refrigerated freight container. Thermal sensor nodes can be positioned within the freight container. Temperature measurements can be wirelessly relayed from the sensor nodes to a gateway associated with the freight container. The received temperature measurements can be aggregated and logged at the gateway. Thermal models of the freight container and associated cargo loads can be established in response to the logged temperature measurements and loading plan for the foreign container. The refrigeration system can be controlled in response to processing the thermal models. The refrigeration system can be controlled to optimize compliance parameters associated with the cargo loads.

A refrigerating appliance includes a cabinet that defines an interior cavity. A temperature sensing network monitors a temperature stratification of the interior cavity. The temperature stratification includes a plurality of temperature levels that correspond to respective locations of the interior cavity. A controller is configured to receive an input related to an item to be stored. The controller is further configured to compare the input with the temperature stratification. The controller is further configured to identify a primary storage location of the item to be stored based upon a comparison of the input and the plurality of temperature levels of the temperature stratification. A visual indicia is disposed within the interior cavity and coupled to the controller. The visual indicia activates to identify the primary storage location of the item to be stored.

A refrigerator appliance includes a cabinet defining multiple food storage chambers which are operable at distinct temperatures. The refrigerator appliance includes a cabinet comprising a plurality of insulated mullions. The insulated mullions at least partially define a fresh food chamber, a freezer chamber, a convertible chamber, and a plenum. The refrigerator appliance also includes a first damper selectively providing fluid communication between the fresh food chamber and the plenum, a second damper selectively providing fluid communication between the freezer chamber and the plenum, and a fan disposed between the convertible chamber and the plenum. The fan is configured to force air from the plenum into the convertible chamber.

An artificial intelligent food refrigerating device and a method for refrigerating food by using the same are disclosed. An artificial intelligent food refrigerating device according to the present disclosure identifies the size, volume, type, and quantity of food to be put into it and determines a target refrigeration temperature and refrigeration time for the food based on an identification result. The artificial intelligent food refrigerating device and method according to the present disclosure may be associated with an artificial intelligent module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.

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.

A container energy storage system is provided in this disclosure. The system includes a container and a plurality of functional assemblies. The container includes a container frame and a bottom plate. The container frame is formed a plurality of openings and a hollow main body. The bottom plate is disposed at the bottom of the container frame and is fixedly connected to the container frame. The functional assemblies are disposed in the hollow main body and located above the bottom plate.

A temperature control system is used for controlling a temperature of a control target to a target temperature that changes with lapse of time. The system includes: a first adjustment apparatus that includes a first tank that stores a first heat transfer medium, adjusts the temperature of the first heat transfer medium to a first set temperature, and supplies the temperature-adjusted first heat transfer medium; a first circulation circuit through which the first heat transfer medium flows from the first adjustment apparatus to a first flow-through path and returns to the first adjustment apparatus; an adjustment section that adjusts an amount of heat supplied from the first flow-through path to the control target; a memory that stores a relation between the lapse of time and the target temperature; and a controller.