A system generates alerts based on sensor data obtained from equipment, for example, refrigeration equipment. Examples of equipment instances include refrigeration equipment, heating equipment, air conditioning equipment, and so on. The system accesses a model, for example, a machine learning model trained to predict an alert threshold for generation of alerts. The system modifies the alert threshold value for an equipment instance based on the output of the machine learning model. The system uses the modified alert threshold value for generating alerts. The system may track the number of times the alert threshold was adjusted. If the number of times the alert threshold value is modified exceeds a predetermined fault threshold value, the system determines that the equipment is faulty.

A method of monitoring a health of a transportation refrigeration unit including: receiving at least one of an alarm of one or more components of the transportation refrigeration unit, test data on the one or more components of the transportation refrigeration unit, historical trip data of the transportation refrigeration unit, or service data of the transportation refrigeration unit; receiving reefer parameters of the transportation refrigeration unit; determining a health score of the transportation refrigeration unit based on at least the reefer parameters; and determining a maintenance action for transportation refrigeration unit based on the health score and at least one of the alarm, the test data, the historical trip data, or the service data.

A system for playback of messages. Context appropriate messages for an environment may be played back. Messages may be user behavior interactive and subject to user behavior initiated message playback conditions. User generated environment events may be automatically analyzed and user behavior interactive messages may be automatically coordinated. An automated themed message playback apparatus may have a self-contained housing within which a stored themed message, an in situ user generated environment event sensor, and an automated themed message playback device are housed. User generated environment events may be automatically sensed in situ.

A home appliance includes a refrigerator. The home appliance includes a cabinet configured to define a storage space with a front surface opened, a door configured to open and close the storage space, and a speaker disposed on a top surface of the cabinet and configured to communicate with an external device, where the speaker includes a sound output portion configured to output sound. The sound output portion is inclined with respect to the top surface of the cabinet.

A method for determining a time frame for when a freezer having a compressor should be defrosted include the steps of measuring compressor cycling over time, determining a change in compressor cycling over time, and determining from the change in in compressor cycling over time determined a time frame for when the freezer should be defrosted.

A remote system for monitoring and controlling one or more devices for use in the cryogenic processing of a sample is provided. A remote server capable of transmitting freezing profile data to one or more freezers, transmitting transportation profile data to one or more transportation devices, and transmitting thawing profile data to one or more thawing devices. The remote server is also capable of receiving detected data from the one or more freezers relating to the freezing of a sample in accordance with the freezing profile data, receiving detected data from the one or more transportation devices relating to the transportation of a sample in accordance with the transportation profile data, and receiving detected data from the one or more thawing machines relating to the thawing of a sample in accordance with the thawing profile data.

The present invention relates to a refrigerator and, more specifically, a refrigerator which enables a user to easily open a door thereof. The present invention relates to a refrigerator and method for controlling the same, which can prevent a door thereof from opening by itself due to a malfunction. According to an embodiment of the present invention, a refrigerator may comprise: a cabinet having a storage chamber; a door for closing or opening the storage chamber; a sensor provided to sense whether a user is within or out of a sensing distance, to enable discrimination between sensing-on and sensing-off; a door opening device provided to automatically open the door; and a control unit for determining an operation condition of the door opening device on the basis of a time interval from the sensing-on to the sensing-off and a duration for which the sensing-on continues in the sensor, so as to control the operation of the door opening device.

A smart refrigerator assembly includes a refrigerator to facilitate storage of perishable items. Each of a pair of carousels is rotatably integrated into the refrigerator to support perishable food items. Each of a pair of doors is hingedly coupled to the refrigerator for opening and closing the refrigerator. Each of the doors is constructed of an electrochromic material to facilitate the doors to be alternatively opaque or translucent. In this way the doors facilitate contents of the refrigerator to be visible without opening the doors.

A cabinet with anti-condensation mechanism is used to control opening and closing a cabinet door of the cabinet. The cabinet includes a control module, a temperature control module, and a locking module. The control module senses a cabinet-inside temperature inside the cabinet, and senses cabinet-outside temperature and a cabinet-outside humidity outside the cabinet to generate a dew-point threshold value. The temperature control module is used to adjust the cabinet-inside temperature. The locking module is used to lock the cabinet door or unlock the cabinet door. The control module controls the locking module according to the cabinet-inside temperature and the dew-point threshold value, and controls the temperature control module to adjust the cabinet-inside temperature to be greater than or equal to the dew-point threshold value when the control module receives a trigger signal.

An intelligent inspection device is disclosed. The intelligent inspection device comprising a sound collection collecting a first operation sound generated in a refrigerator and storing the collected first operating sound a reference sound set-up comparing the first operation sound stored in the sound collection with a preset normal sound of the refrigerator, learning a result of the comparison to set a reference sound, and setting a reference sound range based on the set reference sound and a processor collecting, through the sound collection, a second operation sound generated in the refrigerator after the reference sound range has been set, comparing the second operation sound with the reference sound range, and inspecting whether the refrigerator fails based on the result of the comparison. According to the intelligent inspection device or the artificial intelligent refrigerator of the present disclosure, one or more of a user terminal, and a server of the present disclosure may be associated with an artificial intelligence module, a drone ((Unmanned Aerial Vehicle, UAV), a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, a device associated with 5G services, etc.