An apparatus for calculating an angular speed of a rotary component includes a processor circuitry configured to: receive an in-phase signal and a quadrature signal from a sensor arrangement, each signal relating to a position of the rotary component; arithmetically sum the in-phase signal and the quadrature signal generated by the sensor arrangement to produce a combined time-domain signal; and calculate an angular speed of the rotary component based on the combined time-domain signal. Methods of calculating an angular speed of a rotary component are also provided.

A system and method for remote monitoring and control of landfill and recycling operations provide an intelligent centralized platform for remote, real-time industrial data gathering and process control for management of landfill and recycling operations such as leachate, gas, water and other liquids. The system and method can directly upload machine data (such as liquid volumes, flows, level, equipment runtime, sorter data, status, etc.) into a centralized platform. This data can be used for analytics and automation of processes and equipment control.

An automated system to monitor, record, and stop landfill harmonic vibrations before they become detectable to the local community is provided. Key components of the system are measured and monitored for vibration intensity and duration. When any of these measurements exceeds critical set point values, the landfill gas blower speed is reduced or the system is shutdown.

A control assistance device includes a correspondence relationship acquirer that acquires a correspondence relationship between a plurality of model identification information pieces for identification of a plurality of respective determination models that respectively determine normality degrees of operations of the constituent element based on processing information pieces representing operations or states relating to a process executed on a substrate by the substrate processing apparatus, and a plurality of parameter values, an information acquirer that acquires a model identification information piece corresponding to a determination model, among the plurality of determination models, that is configured to obtain a proper determination result based on processing information pieces during an operation of the constituent element, and a determiner that determines the parameter value for control of the constituent element based on the correspondence relationship acquired by the correspondence relationship acquirer and the model identification information piece acquired by the information acquirer.

A system for flare combustion control includes a sound speed measurement device for measuring sound speed in a flare vent gas, and a flare combustion controller including a memory and a processor. The processor is configured to receive the measured sound speed and determine, based on the measured sound speed, a molecular weight of the flare vent gas. The processor is further configured to determine, based on the determined molecular weight, a net heating value of the flare vent gas, and adjust the net heating value of the flare vent gas by regulating an amount of a supplemental fuel gas in the flare vent gas.

A system and method for remote monitoring and control of landfill and recycling operations provide an intelligent centralized platform for remote, real-time industrial data gathering and process control for management of landfill and recycling operations such as leachate, gas, water and other liquids. The system and method can directly upload machine data (such as liquid volumes, flows, level, equipment runtime, sorter data, status, etc) into a centralized platform. This data can be used for analytics and automation of processes and equipment control.

An industrial gas production plant operable to produce a feedstock gas at a variable production rate for supply to the downstream process; and a gas storage resource operable to store produced feedstock gas, the method comprising: determining the pressure of feedstock gas in a supply feed line to the downstream process; selectively controlling, using a control system, a flow of feedstock gas from the supply feed line to the gas storage resource or from the gas storage resource to the supply feed line in response to the determined pressure in order to regulate the pressure of the feedstock gas in the supply feed line to the downstream process at a predetermined set point pressure; and selectively controlling, using a control system, a flow rate of feedstock gas in the supply feed line to the downstream process in dependence upon at least one operational parameter of the gas storage resource.

Embodiments of the present disclosure provide a method for smart gas data storage, an Internet of Things system, and a storage medium. The method includes: obtaining at least one type of raw gas data, calculating collection time characteristics of the raw gas data based on a collection time stamp when the raw gas data is collected; evaluating a time reliability of the raw gas data based on the collection time characteristics; determining at least one set of gas sampling data of the raw gas data based on gas importance of the raw gas data; evaluating a data reliability of the raw gas data based on the at least one set of gas sampling data; and generating at least one storage instruction based on the time reliability and the data reliability to store the raw gas data in a corresponding data storage area.

A computer system is provided that may be programmed for home monitoring. The system may: (a) receive sensor data from at least one smart sensor; (b) compare the sensor data to one or more parameters generated using an artificial intelligence model to determine an abnormal level of gas is present in the home, wherein the artificial intelligence model is trained based upon historical sensor data relating to a plurality of homes; and/or (c) in response to determining that an abnormal level of gas is present in the home, control at least one gas shutoff valve to close to prevent further gas leaks at the home.

A system includes an automatic computer-controlled management system and a compressed air system. The system includes a first standby compression generator pneumatically coupled to the compressed air system and coupled to the automatic computer-controlled management system. The system includes a second standby compression generator of a set of standby compression generators pneumatically coupled to the compressed air system and coupled to the automatic computer-controlled management system. The first standby compression generator is configured to transmit first standby compression generator data to the automatic computer-controlled management system and the second standby compression generator is configured to transmit second standby compression generator data to the automatic computer-controlled management system.