An impact-resistant, photovoltaic (IRPV) window system is provided. The system may include an IRPV window coupled to a structure, a controller, and an insurance computing device. The IRPV window may include an impact resistant (IR) layer, a photovoltaic (PV) material that may generate an electrical output, and an electrode coupled to the PV material that may receive the electrical output. The IRPV window may permit a portion of visible light to pass through the IRPV window. The controller may monitor the electrical output and generate a solar profile of the structure based upon the electrical output. The insurance computing device may receive the solar profile and determine if an insurance policy associated with the structure is eligible for a policy adjustment and/or an insurance reward or discount offer.

An automation operating and management system consolidates and analyzes inputs from multiple machines within an automated enterprise to predict failures and provide instructions for counteractions to prevent failures during machine operation, and to identify opportunities for efficiency improvement, including actions for reduction in peak power consumption demand within a facility including multiple machines. A machine can include a machine controller and at least one base layer controller, where the base layer controller acts as a low level controller to directly control the motion of elements in communication with the base layer control, according to parameters set by the machine controller. The base layer controller collects timing data for the elements under its control, compares the timing data with the parameters and sets an alarm when the timing data is outside of tolerance limits defined by the parameters.

A method and system are provided that synchronize one or more appliances to one or more users' schedules. Sensor data may be obtained from a sensor. The sensor data may indicate a state of a first appliance. A user location may be determined. A first characteristic of the first appliance may be obtained. Based upon the user location and the sensor data, a schedule indicating when the user will desire a state change of the first appliance may be determined. A feature of the first appliance may be dynamically modified to cause the first appliance to operate according to the schedule. A notice may be sent to the user that contains information about the first appliance.

An automation operating and management system consolidates and analyzes inputs from multiple machines within an automated enterprise to predict failures and provide instructions for counteractions to prevent failures during machine operation, and to identify opportunities for efficiency improvement, including actions for reduction in peak power consumption demand within a facility including multiple machines. A machine can include a machine controller and at least one base layer controller, where the base layer controller acts as a low level controller to directly control the motion of elements in communication with the base layer control, according to parameters set by the machine controller. The base layer controller collects timing data for the elements under its control, compares the timing data with the parameters and sets an alarm when the timing data is outside of tolerance limits defined by the parameters.

A power supply control system includes a power supply circuit that supplies power, an electronic component that is operable by the power supplied from the power supply circuit, starts shutdown processing in response to an input of a stop instruction signal, and operates when an operation instruction signal is input, and a signal control circuit that receives a power input state signal or a power cutoff state signal as a power state signal indicating a state of the power supply circuit, outputs the stop instruction signal when the power cutoff state signal is input, outputs the operation instruction signal when the power input state signal is input, and outputs the stop instruction signal at least during the shutdown processing when the power input state signal is input in a case in which the shutdown processing of the electronic component is not finished.

Feedback is received from a plurality of devices. External data is also received. Statistical patterns of the plurality of devices are determined based on the feedback. A policy is determined based on the statistical patterns, the feedback, and the external data. The policy may include a set of rules dictating the operation of each of the plurality of devices and reducing energy consumption at the plurality of devices. Control data based on the policy is transmitted to the plurality of devices. The control data may be operative to transform the operation of the plurality of devices according to the set of rules.

A method for real-time temperature management is described. In one embodiment, the method includes configuring a setting to trigger a thermal sensor to capture a thermal image of an area inside a premises and capturing, via the thermal sensor, a first thermal image of the area of the premises. In some embodiments, upon detecting the trigger, the method includes capturing, via the thermal sensor, a second thermal image of the area of the premises and identifying a thermal exchange in the area of the premises by comparing the first thermal image with the second thermal image.

An impact-resistant, photovoltaic (IRPV) window system is provided. The system may include an IRPV window coupled to a structure, a controller, and an insurance computing device. The IRPV window may include an impact resistant (IR) layer, a photovoltaic (PV) layer that may generate an electrical output, and an electrode coupled to the PV layer that may receive the electrical output. The IRPV window may permit a portion of visible light to pass through the IRPV window. The controller may monitor the electrical output and generate a solar profile of the structure based upon the electrical output. The insurance computing device may receive the solar profile and determine if an insurance policy associated with the structure is eligible for a policy adjustment and/or an insurance reward or discount offer.

A building energy system includes equipment and an asset allocator configured to determine an optimal allocation of energy loads across the equipment over a prediction horizon. The asset allocator generates several potential scenarios and generates an individual cost function for each potential scenario. Each potential scenario includes a predicted load required by the building and predicted prices for input resources. Each individual cost function includes a cost of purchasing the input resources from utility suppliers. The asset allocator generates a resource balance constraint and solves an optimization problem to determine the optimal allocation of the energy loads across the equipment. Solving the optimization problem includes optimizing an overall cost function that includes a weighted sum of individual cost functions for each potential scenario subject to the resource balance constraint for each potential scenario. The asset allocator controls the equipment to achieve the optimal allocation of energy loads.

A system for controlling automation includes a machine which collects data generated by performance of an operation by the machine. A user device displays a machine control interface (MCI) corresponding to the machine. The MCI displays the collected data to a touch interface of the user device, and defines at least one touch activated user interface element (UIE) for manipulating the data. The user device can be enabled as an automation human machine interface (HMI) device for controlling an operation performed by the machine, such that a touch action applied to a UIE of the MCI controls the operation. A prerequisite condition to enabling the user device as an automation HMI device can include activation of an enabling switch selectively connected to the user device. The MCI can be stored in a memory of the enabling switch and retrieved from the enabling switch by the user device.