The present disclosure provides an intelligent lighting control system for automated lighting adjustments. The system includes a lighting control module configured to cause a transmission of a quantity of electrical energy to a lighting circuit and a detector circuit positioned in the lighting control module and configured to detect a change in a strength of detected signal, such as wireless signal. The system includes a controller coupled to the detector circuit and the lighting control module. The controller includes a processor configured to determine a time of day and to cause the lighting control module to change the quantity of electrical energy transmitted to the lighting circuit in response to the time of day exceeding a predetermined time threshold and the change in the strength of the wireless signal falling below a predetermined value. The controller can cause the lighting control module to reduce the quantity of electrical energy.

In an initialization method of human-factor lamps capable of intelligently adjusting ambient light, the human-factor lamps are installed in a factory, and Beacon host systems are set up in the factory, and the light emitting devices have the Bluetooth function. A specialist can perform an initialization of the human-factor lamps by a mobile phone with a Bluetooth transmission function, and the mobile phone is loaded with pre-set factory lighting chart information, and the factory lighting chart information includes the pre-set identity codes corresponding to the light emitting devices, and the factory lighting chart information can be corrected through the mobile phone and matched with the factory. The specialist can use the indoor positioning function of the Beacon host systems to move to the corresponding positions of the light emitting devices sequentially and write the identity codes of the light emitting devices automatically and sequentially to complete the initialization.

In an initialization method of human-factor lamps capable of intelligently adjusting ambient light, the human-factor lamps are installed in a factory, and Beacon host systems are set up in the factory, and the light emitting devices have the Bluetooth function. A specialist can perform an initialization of the human-factor lamps by a mobile phone with a Bluetooth transmission function, and the mobile phone is loaded with pre-set factory lighting chart information, and the factory lighting chart information includes the pre-set identity codes corresponding to the light emitting devices, and the factory lighting chart information can be corrected through the mobile phone and matched with the factory. The specialist can use the indoor positioning function of the Beacon host systems to move to the corresponding positions of the light emitting devices sequentially and write the identity codes of the light emitting devices automatically and sequentially to complete the initialization.

An LED specification system is provided having at least one LED light output device. The LED light output device has an LED light source, a first exchangeable face panel selectable from a plurality of potential exchangeable face panels, and a housing for locating the exchangeable face panel relative to the LED light source and for orienting the LED light source such that light from the LED light source passes through the first exchangeable face panel. The LED specification system further includes a user interface for selecting at least one preferred output characteristic for light from the LED light output device. The preferred output characteristic is defined by a metric value. The LED specification system further includes a transformation module for defining an LED specification value based at least partially on the defined metric value and a characteristic of the LED light source.

A load control system may be configured using a graphical user interface (GUI) software. The GUI software may be implemented to collect control devices and add the control devices to the load control system for configuration. Programming data may be automatically determined for the added control devices based on the type of control device, the location of the control device, and/or the load type controlled by the control device. The programming data may include control settings for a scene, a schedule, or an automated control feature. The programming data may be displayed for being viewed and/or adjusted by a user. The programming data may be transmitted to the control devices and/or a system controller for being implemented in performing load control.

Technology for use by a human user in a viewing environment that includes a plurality of Internet of Things (IoT) light sources. Responsive to a voice command from a human user, machine logic determines which Internet of Things (IoT) light sources (for example, fixed brightness lamps, adjustable brightness lamps, windows with adjustable covers or shades) are causing glare problem by simulating a voice command throughout the entirety of a viewing environment. Once the problem light source(s) are determined, then the lighting is automatically adjusted to fix the glare problem.

Technology for use by a human user in a viewing environment that includes a plurality of Internet of Things (IoT) light sources. Responsive to a voice command from a human user, machine logic determines which Internet of Things (IoT) light sources (for example, fixed brightness lamps, adjustable brightness lamps, windows with adjustable covers or shades) are causing glare problem by simulating a voice command throughout the entirety of a viewing environment. Once the problem light source(s) are determined, then the lighting is automatically adjusted to fix the glare problem.

A load control system may be configured using a graphical user interface (GUI) software. The GUI software may be implemented to collect control devices and add the control devices to the load control system for configuration. Programming data may be automatically determined for the added control devices based on the type of control device, the location of the control device, and/or the load type controlled by the control device. The programming data may include control settings for a scene, a schedule, or an automated control feature. The programming data may be displayed for being viewed and/or adjusted by a user. The programming data may be transmitted to the control devices and/or a system controller for being implemented in performing load control.

Technology for use by a human user in a viewing environment that includes a plurality of Internet of Things (IoT) light sources. Responsive to a voice command from a human user, machine logic determines which Internet of Things (IoT) light sources (for example, fixed brightness lamps, adjustable brightness lamps, windows with adjustable covers or shades) are causing glare problem by simulating a voice command throughout the entirety of a viewing environment. Once the problem light source(s) are determined, then the lighting is automatically adjusted to fix the glare problem.

Technology for use by a human user in a viewing environment that includes a plurality of Internet of Things (IoT) light sources. Responsive to a voice command from a human user, machine logic determines which Internet of Things (IoT) light sources (for example, fixed brightness lamps, adjustable brightness lamps, windows with adjustable covers or shades) are causing glare problem by simulating a voice command throughout the entirety of a viewing environment. Once the problem light source(s) are determined, then the lighting is automatically adjusted to fix the glare problem.