Abstract: An air quality monitoring system integrated with the building management system observes and records air quality data and building system data. Based on the observed air quality data and building system data, one or more training data sets can be generated. Such training data sets are used to train one or more machine-learning models configured to determine one or more threshold values for the air quality. These thresholds are then used to modify or adjust one or more building systems based on monitored air quality data.

Abstract: One example provides a method of monitoring a product moving through a manufacturing flow being performed across a plurality of product lifecycle phases. The method comprises obtaining, by computer network from a first device in a first product lifecycle phase, first object data related to a first process performed by a first device on the product, and obtaining, by the computer network from a second device in a second product lifecycle phase, second object data related to a second process performed by a second device on the product. The method further comprises determining product lifecycle data for the product based on the first object data and the second object data. The method further comprises storing the product lifecycle data for analyzing the manufacturing flow across the plurality of product lifecycle phases performed on the product.

Abstract: A smart water meter, including: a water flow measuring assembly; one or more water parameter sensors; a data transmission assembly; and wherein the smart water meter validates, and, in turn, provides peace of mind to a consumer that there are no water leaks and/or that the water utilized is safe and within predetermined parameters (e.g., free from lead, mercury, heavy metals, hydrocarbons, pesticides, herbicides, fungicides and/or PFAS).

Abstract: An air conditioning system includes an outdoor unit, an indoor unit, a wire controller, a terminal device, a first converter, and a second converter. The first converter is configured to obtain Celsius temperature data currently transmitted in the air conditioning system, convert the currently transmitted Celsius temperature data to first Fahrenheit temperature data by using a Fahrenheit-Celsius standard conversion formula, round the first Fahrenheit temperature data to obtain target Fahrenheit temperature data, and send the target Fahrenheit temperature data to at least one of the wire controller or the terminal device. The second converter is applied to the wire controller or the terminal device and is configured to convert received Fahrenheit temperature data to target Celsius temperature data. A method for controlling the air conditioning system is also described.

Abstract: An abnormal irregularity cause identifying device includes a process data acquisition unit that reads, from a storage device storing process data, the pieces of process data, an abnormality determination unit that calculates an abnormality degree representing an extent of an irregularity of process data of the pieces of process data read by the process data acquisition unit, and a cause diagnosis unit that obtains accuracy of a cause of the irregularity based on a proportion of process data having the abnormality degree calculated by the abnormality determination unit satisfying a predetermined criterion to the plurality of types of pieces of process data, by using causal relation information defining a combination between the cause and the irregularity, which appears as an influence resulting from the cause, of each of the plurality of types of pieces of process data.

Abstract: A system includes a controller having a memory configured to store instructions and one or more processors. The controller is configured to receive a constraint time from a first database and a plurality of production times from a second database. The controller identifies one or more outlier production times of the plurality of production times that fall below a lower constraint time limit or exceed an upper constraint time limit. The controller removes the one or more outlier production times from the plurality of production times, determines a mean production time based on the plurality of production times, and generates a notification in response to the mean production time exceeding an upper threshold time or falling below a lower threshold time.

Abstract: A fan controller for a ceiling fan is provided. The fan controller includes one or more switching devices configured to selectively couple the ceiling fan to a power source. The fan controller includes a first capacitor having a first capacitance and a second capacitor having a second capacitance that is larger than the first capacitance. The fan controller includes a power meter circuit and one or more control devices. The one or more control devices are configured to obtain, via the power meter circuit, data indicative of electrical power a fan motor of the ceiling fan draws from the power source. The one or more control devices are configured determine a size of the fan motor based on the data. The one or more control devices are configured to select the first capacitor or the second capacitor as a selected capacitor based on the determined size of the fan motor.

Abstract: A method for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling, and an apparatus for quantifying and assessing a scheduling risk considering source load fluctuation and rescheduling are provided. The method includes establishing a scene set considering a new energy disturbance; establishing and solving a rescheduling optimization model considering the new energy disturbance in each scene based on a preset scheduling plan according to the scene set, so as to obtain a solving result of the rescheduling optimization model; and calculating a risk quantifying and assessing result corresponding to the preset scheduling plan according to the solving result of the rescheduling optimization model.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving a data stream from one or more power plants at the same location by a computing device; based on the received data stream, determining a grid impedance of the one or more power plants with respect to a grid by the computing device; based on the received data stream, determining power plant control parameters and communication delay for each of the one or more power plants; and modeling the integrated system consisting of the one or more power plants and the grid based on the determined grid impedance and the power plant control parameters by the computing device.

Abstract: A power arrangement comprises an energy management arrangement, a demand interface circuit, a power distribution arrangement, a vehicle power terminal and a building power terminal. The demand interface circuit acquires at least one demand data of a group comprising: an energy need that is required of an electric vehicle, a discharge energy that is available by the electric vehicle for discharging, a charging time period that is available for charging the electric vehicle and a discharging time period that is available for discharging the electric vehicle. The energy management arrangement controls the power distribution arrangement such that vehicle electrical power is provided at the vehicle power terminal as a function of the demand data and building electrical power is provided at the building power terminal.

Abstract: Embodiments generally relate to reducing peak load consumption of energy. In some embodiments, a method includes receiving a plurality of requests for energy consumption by a corresponding plurality of climate control appliances in a predetermined environment. The method further includes determining an energy consumption level for each request of the plurality of requests for a time period. The method further includes determining a schedule for granting the plurality of requests during the time period, where a difference between a highest aggregate energy consumption level and a lowest aggregate energy consumption level during the time period is minimized.

Abstract: A method of trading electrical energy is provided. The method comprises a smart agent receiving state data affecting electricity usage within an electrical power grid over a specified time period and forecasting, with a supply/demand model, supply and demand for electricity within the power grid according to the state data. The smart agent uses a reinforced learning neural network to calculate a price for electricity according the state data and forecasted supply and demand. The smart agent submits an order to a matching engine to buy or sell electricity on the power grid at the calculated price according to specified market rules. The smart engine receives an acknowledgment from the matching engine if the order is matched to another agent on the power grid or a rejection from the matching engine if the order is not matched to another agent.

Abstract: Provided are a method and energy harvesting system for extracting maximum power from an input source. When the energy harvesting system includes a converter, a sensing part, an artificial intelligence (AI) calculator, and a resistor part, the method includes: sensing an input voltage and an input current from the input source using the sensing part, converting the input voltage and the input current corresponding to analog values into digital values through an analog-to-digital converter (ADC) block, and transmitting the digital values to the AI calculator; calculating input power on the basis of the digital values using the AI calculator and acquiring an optimal sampling ratio for extracting maximum power on the basis of the input power; controlling a resistor divider ratio on the basis of the optimal sampling ratio to equalize a sampling ratio to the optimal sampling ratio; and performing a regulation operation through the converter.

Abstract: A detection device for safety apparatuses for the control of industrial machines or plants comprises a reading head adapted to be associated with the receiving device of the safety apparatus to receive a presence signal provided with the identification code following the positioning of one of the movable actuators at a predetermined minimum distance from said reading head, a processing circuit integrated in said head and adapted to generate a plurality of output signals corresponding to respective command or signalling functions for one or more parts of the machine or plant, wherein the processing circuit is adapted to associate to each of said identification signals a personalized combination of said output signals for the execution of respective combinations of said functions differentiated for one or more of said movable actuators.

Abstract: In an electronic apparatus, reference information stored on a memory includes standard appliance ownership information describing owned home appliances of at least one standard household and standard monthly power consumption information of the standard household. A processor obtains first monthly power consumption information of a first household which owns a first home appliance of a same type as a standard home appliance described in the standard appliance ownership information. Based on a difference between the standard and first monthly power consumption information being within a threshold range, the processor compares appliance monthly power consumption information of the standard home appliance and of the first home appliance, and, based on the result being within a threshold range, predicts first appliance ownership information on owned home appliances of the first household based on the standard appliance ownership information.

Abstract: A software-defined power management and distribution system for spacecraft and other remote systems, which maximizes adjustability of the electrical power systems thereof using software, and without having to change the associated hardware is described. Embodiments of the present apparatus are remotely adjustable, thereby enabling more rapid configuration of spacecrafts during construction as well as reconfiguration thereof while in orbit.

Abstract: This invention enables Electric Vehicle (EV) charging requirements to be supplied by electric power available off-peak without increasing demand charges. It does this by continually measuring primary loads and enabling EV charging to utilize only that power that will not increase total demand. Grouping software available from Electric Vehicle Service Equipment (EVSE) suppliers allows the available power to be shared among multiple vehicles.

Abstract: An energy efficiency data collection system architecture may be configured to enable efficient and accurate collection of energy efficiency data associated with users and/or sites associated with users and generation of profiles associated with the users based on the energy efficiency data. An energy efficiency data collection service may receive location information, image data, and user-input data from an application operating on a mobile device associated with a user. The energy efficiency data collection service may generate profiles based on the information received from the application and may provide incentives to the users in response to participating in an energy efficiency data collection survey.

Abstract: A heating, ventilation, air conditioning, and/or refrigeration (HVAC&R) system includes one or more sensors configured to acquire feedback indicative of an operational parameter of a component of the HVAC&R system. The HVAC&R system includes a control unit of the component that is configured to receive the feedback from the one or more sensors. The control unit is configured to analyze the feedback in accordance with a first control scheme to generate a first control output and to operate the component based on the first control output. The HVAC&R system includes a remote server configured to provide a cloud computing environment, where the remote server is communicatively coupled to the control unit via a network. The remote server is configured to receive and analyze the feedback in accordance with a second control scheme to generate a second control output and to operate the component based on the second control output.

Abstract: A predictive control method of a grid-connected converter based on a structurally adaptive extended state observer (ESO) is provided. The method includes: obtaining data of a grid current and a grid voltage and converting the data to data in a dq coordinate system; calculating a selected voltage vector based on a voltage in the dq coordinate system; adaptively inputting the current in the dq coordinate system to a parallel ESO, a cascade ESO, or a hybrid cascade-parallel ESO, so as to obtain a current predicted current value and estimated total disturbance; carrying out a two-step grid current prediction based on the current predicted current value, the estimated total disturbance and the selected voltage vector; and taking minimizing a cost function as a control target, so as to obtain an optimal voltage vector based on a two-step grid current prediction result, and carrying out switching control of the grid-connected converter.