Provided are systems and methods for intelligent distributed industrial facility safety systems. In some embodiments an industrial facility safety system includes remote sensing devices (RSDs) disposed throughout an industrial facility, and a facility safety control system (FSCS) adapted to collect safety data from the RSDs, determine current conditions of the industrial facility based on the safety data collected, determine that an alert condition exists based on the current conditions determined, identify an alert associated with the alert condition, generate the alert for presentation to personnel in the industrial facility, monitor a response to the presentation of the alert, and dynamically adjust an alert level for the alert condition based on the response.

Environmental characteristics of habitable environments (e.g., hotel or motel rooms, spas, resorts, cruise boat cabins, offices, hospitals and/or homes, apartments or residences) are controlled to eliminate, reduce or ameliorate adverse or harmful aspects and introduce, increase or enhance beneficial aspects in order to improve a wellness or sense of wellbeing provided via the environments. Control of intensity and wavelength distribution of passive and active Illumination addresses various issues, symptoms or syndromes, for instance to maintain a circadian rhythm or cycle, adjust for jet lag or season affective disorder, etc. Air quality and attributes are controlled. Scent(s) may be dispersed. Noise is reduced and sounds (e.g., masking, music, natural) may be provided. Environmental and biometric feedback is provided. Experimentation and machine learning are used to improve health outcomes and wellness standards.

Environmental characteristics of habitable environments (e.g., hotel or motel rooms, spas, resorts, cruise boat cabins, offices, hospitals and/or homes, apartments or residences) are controlled to eliminate, reduce or ameliorate adverse or harmful aspects and introduce, increase or enhance beneficial aspects in order to improve a wellness or sense of wellbeing provided via the environments. Control of intensity and wavelength distribution of passive and active Illumination addresses various issues, symptoms or syndromes, for instance to maintain a circadian rhythm or cycle, adjust for jet lag or season affective disorder, etc. Air quality and attributes are controlled. Scent(s) may be dispersed. Noise is reduced and sounds (e.g., masking, music, natural) may be provided. Environmental and biometric feedback is provided. Experimentation and machine learning are used to improve health outcomes and wellness standards.

A power-source monitoring apparatus according to an embodiment includes an abnormality detecting unit, a measurement unit, and a recording unit. The abnormality detecting unit detects an abnormality in a power source. The power source supplies electric power to an autonomous driving apparatus of a vehicle. The measurement unit measures an elapsed time interval from a time point at which the abnormality detecting unit detects an abnormality in the power source. The recording unit records therein the elapsed time interval measured by the measurement unit.

A power-source monitoring apparatus according to an embodiment includes an abnormality detecting unit, a measurement unit, and a recording unit. The abnormality detecting unit detects an abnormality in a power source. The power source supplies electric power to an autonomous driving apparatus of a vehicle. The measurement unit measures an elapsed time interval from a time point at which the abnormality detecting unit detects an abnormality in the power source. The recording unit records therein the elapsed time interval measured by the measurement unit.

A method for creating at least one portable environment recipe associated with at least one user and associated with an underlying architecture, whereby the underlying architecture includes an underlying actuator architecture or an underlying sensor architecture is provided. The method may include collecting a plurality of behavior data associated with the underlying architecture and the at least one user, wherein the at least one user is located at a first location. The method may further include analyzing the collected plurality of behavior data. The method may also include identifying at least one behavior pattern based on the analyzed plurality of behavior data. The method may include creating the at least one portable environment recipe based on the identified at least one behavior pattern. The method may also include uploading the created environment recipe to a repository.

A method for creating at least one portable environment recipe associated with at least one user and associated with an underlying architecture, whereby the underlying architecture includes an underlying actuator architecture or an underlying sensor architecture is provided. The method may include collecting a plurality of behavior data associated with the underlying architecture and the at least one user, wherein the at least one user is located at a first location. The method may further include analyzing the collected plurality of behavior data. The method may also include identifying at least one behavior pattern based on the analyzed plurality of behavior data. The method may include creating the at least one portable environment recipe based on the identified at least one behavior pattern. The method may also include uploading the created environment recipe to a repository.

A method for creating at least one portable environment recipe associated with at least one user and associated with an underlying architecture, whereby the underlying architecture includes an underlying actuator architecture or an underlying sensor architecture is provided. The method may include collecting a plurality of behavior data associated with the underlying architecture and the at least one user, wherein the at least one user is located at a first location. The method may further include analyzing the collected plurality of behavior data. The method may also include identifying at least one behavior pattern based on the analyzed plurality of behavior data. The method may include creating the at least one portable environment recipe based on the identified at least one behavior pattern. The method may also include uploading the created environment recipe to a repository.

A method for creating at least one portable environment recipe associated with at least one user and associated with an underlying architecture, whereby the underlying architecture includes an underlying actuator architecture or an underlying sensor architecture is provided. The method may include collecting a plurality of behavior data associated with the underlying architecture and the at least one user, wherein the at least one user is located at a first location. The method may further include analyzing the collected plurality of behavior data. The method may also include identifying at least one behavior pattern based on the analyzed plurality of behavior data. The method may include creating the at least one portable environment recipe based on the identified at least one behavior pattern. The method may also include uploading the created environment recipe to a repository.

An information handling system may include a main processor, a battery, multiple temperature sensors for obtaining temperature values associated with the battery, a processor, and memory media accessible to the processor. The memory media may store instructions executable by the processor for receiving a respective temperature value from each of the temperature sensors and calculating a battery temperature distribution value dependent on the received temperature values, including determining a difference between two temperature values. The instructions may be further executable for determining a respective value for each of one or more battery control parameters dependent on the battery temperature distribution value, and setting each of the battery control parameters to the determined value. Determining the control parameters values may be further dependent on the rate of change of the difference between the two temperature values, or on whether the received temperatures or the temperature difference lie outside a predetermined range.