A method for controlling a temperature in an air conditioning device according to an embodiment of the present invention includes: calculating an exponentially-weighted running mean temperature for outdoor temperatures measured for a predetermined period, setting a variable constant and a fixed constant according to the exponentially-weighted running mean temperature and an operation condition, setting a comfort temperature by multiplying the exponentially-weighted running mean temperature by the variable constant and adding the fixed constant, and controlling an indoor temperature by using the set comfort temperature. Here, the fixed constant and the variable constant are constants obtained through a regression analysis of a distribution relationship between an exponentially-weighted running mean temperature and a comfort temperature, and the distribution of comfort temperatures is linearly increased from the fixed constant with a gradient of the comfort temperature according to the exponentially-weighted running mean temperature.

A tool management system includes a plurality of individual tool retention units that are in electronic communication with a central webserver. Each tool retention unit is designed to independently monitor a designated toolset and transmit tool use data to the webserver. The data compiled by the webserver can be routinely evaluated to ensure proper accountability of all tools within a particular workspace. Due to the autonomous nature of each unit, subsets of tools within a larger monitored collection can be added, removed or replaced without disruption of monitoring amongst the remainder of tools. In one embodiment, a tool retention unit is constructed as a chest comprising a plurality of individual, swappable drawers housed within a common frame. In use, each drawer is provided with a controller that is configured to monitor its designated toolset and transmit any tool-related data to a main controller in communication with the webserver.

A tool management system includes a plurality of individual tool retention units that are in electronic communication with a central webserver. Each tool retention unit is designed to independently monitor a designated toolset and transmit tool use data to the webserver. The data compiled by the webserver can be routinely evaluated to ensure proper accountability of all tools within a particular workspace. Due to the autonomous nature of each unit, subsets of tools within a larger monitored collection can be added, removed or replaced without disruption of monitoring amongst the remainder of tools. In one embodiment, a tool retention unit is constructed as a chest comprising a plurality of individual, swappable drawers housed within a common frame. In use, each drawer is provided with a controller that is configured to monitor its designated toolset and transmit any tool-related data to a main controller in communication with the webserver.

An intelligent laundry method and device, the method including: determining a current user of a washing machine; determining washing features of the current user; determining washing parameters for a laundry according to the washing features; and controlling the washing machine to wash the laundry according to the washing parameters.

An intelligent laundry method and device, the method including: determining a current user of a washing machine; determining washing features of the current user; determining washing parameters for a laundry according to the washing features; and controlling the washing machine to wash the laundry according to the washing parameters.

A monitoring system applied to a shaping machine having a high speed electricity meter. The monitoring system includes a current obtaining device and an analyzing device. The current obtaining device is coupled to the high speed electricity meter to obtain a plurality of current signals from the operated shaping machine and in respond to the shaping machine executes a machining program, the current obtaining device extracts current variation data from the current signals. The machining program corresponds to a piece of the current variation data. The piece of the current variation datum comprises a maximum current and an occurring time that the maximum current being recorded. The analyzing device is configured to calculate a gap, based on the maximum currents and the occurring times corresponding to at least two successive machining programs. In respond to the gap time exceeding a predetermined threshold, the analyzing device generates a warning signal.

A monitoring system applied to a shaping machine having a high speed electricity meter. The monitoring system includes a current obtaining device and an analyzing device. The current obtaining device is coupled to the high speed electricity meter to obtain a plurality of current signals from the operated shaping machine and in respond to the shaping machine executes a machining program, the current obtaining device extracts current variation data from the current signals. The machining program corresponds to a piece of the current variation data. The piece of the current variation datum comprises a maximum current and an occurring time that the maximum current being recorded. The analyzing device is configured to calculate a gap, based on the maximum currents and the occurring times corresponding to at least two successive machining programs. In respond to the gap time exceeding a predetermined threshold, the analyzing device generates a warning signal.

Provided is an abnormality detection system that includes a first controller configured to control a substrate processing apparatus and a second controller configured to control a device provided in the substrate processing apparatus according to an instruction from the first controller, thereby detecting an abnormality in the device. The second controller includes a storage unit configured to collect status signals for the device for a predetermined time and at a predetermined sampling interval in a predetermined cycle and accumulate the collected status signals for the device, and the first controller includes an abnormality determination unit configured to acquire the accumulated status signals for the device from the second controller at a time interval equal to or longer than the predetermined time, and determine presence or absence of an abnormality in the device.

Provided is an abnormality detection system that includes a first controller configured to control a substrate processing apparatus and a second controller configured to control a device provided in the substrate processing apparatus according to an instruction from the first controller, thereby detecting an abnormality in the device. The second controller includes a storage unit configured to collect status signals for the device for a predetermined time and at a predetermined sampling interval in a predetermined cycle and accumulate the collected status signals for the device, and the first controller includes an abnormality determination unit configured to acquire the accumulated status signals for the device from the second controller at a time interval equal to or longer than the predetermined time, and determine presence or absence of an abnormality in the device.

A computer implemented method for determining target data for artificial intelligence is disclosed. In one aspect, the method may include identifying an indication of a target state of a first industrial process or asset, and/or of a second industrial process or asset operatively associated with the first industrial process or asset, and determining target data, based on the identified indication of the target state. The identification of the indication of the target state may be based on first monitoring data indicative of data output from first monitoring data source(s) associated with the first industrial process or asset or with the second industrial process or asset. The target data may be determined from second monitoring data indicative of data output from second monitoring data source(s) associated with the first industrial process or asset.