A method for anomaly detection in process control environments is provided. The method includes receiving a first information from first field devices located within a process control environment, and transmitting a first vector based on the first information, to a first detector implemented within an edge node that provides gateway access to the environment. The first detector implements a first classifier model. When the first detector detects an anomaly event based on the first vector, a second vector is transmitted to a second detector implemented within a cloud based server. The second vector, different from the first vector, is generated based on second information from second field devices located within the process control environment. The second detector implements a second classifier model different from the first classifier model. An anomaly event alert is generated when one of the first detector and the second detector detects an anomaly event.

A method for anomaly detection in process control environments is provided. The method includes receiving a first information from first field devices located within a process control environment, and transmitting a first vector based on the first information, to a first detector implemented within an edge node that provides gateway access to the environment. The first detector implements a first classifier model. When the first detector detects an anomaly event based on the first vector, a second vector is transmitted to a second detector implemented within a cloud based server. The second vector, different from the first vector, is generated based on second information from second field devices located within the process control environment. The second detector implements a second classifier model different from the first classifier model. An anomaly event alert is generated when one of the first detector and the second detector detects an anomaly event.

Various systems and methods for configurable modular devices are disclosed. For example, a system may be configured for swappable wiring configurations, LED light engine encodings, wireless network health determination and wireless health heatmap generation, wireless power transfer and replaceable batteries, AI modules for switch configurations, and/or the like individually and/or in combination. The system may include a modular control unit with a backplate. The backplate may include a first assembly configured to be fastened to a junction box and a removably couplable cup portion configured to be removably couplable to the first assembly and configured to electrically couple to wires of the junction box. The removably couplable cup portion may include a recess that includes a set of backplate electrical contacts.

Various embodiments disclosed herein relate to a building automation controller and related method and storage medium including a processor configured, through at least execution of a distributed computer program, to: receive sensor data generated by a sensor, wherein the sensor data is indicative of a state of a defined space, identify an action to be performed by a device to affect the state in accordance with an operating characteristic for the defined space, determine that the device is attached to a second controller of a plurality of additional controllers, and transmit to the second controller, an indication that the action is to be performed by the device, wherein: the distributed computer program is configured to be distributed among the processor and the plurality of additional controllers and, the processor is further configured to apportion work to be performed by the computer program between at least the additional controllers.

Various embodiments disclosed herein relate to a building automation controller and related method and storage medium including a processor configured, through at least execution of a distributed computer program, to: receive sensor data generated by a sensor, wherein the sensor data is indicative of a state of a defined space, identify an action to be performed by a device to affect the state in accordance with an operating characteristic for the defined space, determine that the device is attached to a second controller of a plurality of additional controllers, and transmit to the second controller, an indication that the action is to be performed by the device, wherein: the distributed computer program is configured to be distributed among the processor and the plurality of additional controllers and, the processor is further configured to apportion work to be performed by the computer program between at least the additional controllers.

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. Hypoallergenic items (e.g., bedding, linens) may be used. Water quality is controlled. Noise is reduced and sounds (e.g., masking, music, natural) may be provided. Passive and active pathogen controls are employed. Controls are provided for the occupant and/or facility personnel, as is instruction, and surveys, including assessing wellness.

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. Hypoallergenic items (e.g., bedding, linens) may be used. Water quality is controlled. Noise is reduced and sounds (e.g., masking, music, natural) may be provided. Passive and active pathogen controls are employed. Controls are provided for the occupant and/or facility personnel, as is instruction, and surveys, including assessing wellness.

The present disclosure relates to a manufacturing system, method and control circuitry for quality assured manufacturing of at least two biopharmaceutical products. The manufacturing system comprises a warehouse facility, a hydration facility, and at least two biopharmaceutical manufacturing facilities, wherein the warehouse facility and hydration facility are comprised in the macro structure. Each biopharmaceutical manufacturing facility is comprised in a respective micro node, and a control facility in the macro structure is configured to control interoperability of the macro structure and the micro nodes by means of a network spine interconnecting the macro structure with each micro node.

The present disclosure relates to a manufacturing system, method and control circuitry for quality assured manufacturing of at least two biopharmaceutical products. The manufacturing system comprises a warehouse facility, a hydration facility, and at least two biopharmaceutical manufacturing facilities, wherein the warehouse facility and hydration facility are comprised in the macro structure. Each biopharmaceutical manufacturing facility is comprised in a respective micro node, and a control facility in the macro structure is configured to control interoperability of the macro structure and the micro nodes by means of a network spine interconnecting the macro structure with each micro node.

In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.