Provided is a concentration control system that has only a small time delay, obtains accurate estimated values, and also enables partial pressure control having improved responsiveness and accuracy. The system includes a flow rate control device provided on a supply flow path that supplies gas to a chamber, and controls a flow rate of a gas in the supply flow path to match a set flow rate, a partial pressure measurement device for a gas inside the chamber, an observer having a model which estimates a state of the gas inside the chamber, where a flow rate of the gas flowing into the chamber and measured partial pressures are input into the model, and an estimated partial pressure of the gas within the chamber is output, and a controller that, based on a set partial pressure and on the estimated partial pressure, sets the set flow rate.

Sensors, methods, and computer program products for air bubble detection are provided. An example method includes determining a first moving average for a first period of time based upon first temperature data and determining a second moving average for the first period of time based upon second temperature data. The method includes determining a first air presence parameter based upon a comparison between the first temperature data and the first moving average and a comparison between the second temperature data and the second moving average. The method includes determining a second air presence parameter based upon a comparison between the first temperature data, the second temperature data, and calibrated air thresholds. The method includes determining a third air presence parameter based upon a comparison between a first temperature data entry and each second temperature data entry. An air bubble within a fluid flow system is detected based upon the parameters.

A wellhead system includes a wellhead, a fluid line extending from the wellhead, a branch line fluidly connected to the fluid line at an inlet and at an outlet, an ejector device arranged on the branch line, a tank fluidly connected by a tank fluid line to the ejector device, and a pressure control valve arranged on the branch line upstream of the ejector device. The ejector device is configured to produce a mixture that includes the fluid from the wellhead flowing in the branch fluid line with a chemical flowing the tank fluid line. The ejector device is also configured to discharge the mixture downstream of the ejector device. The pressure control valve is configured to control the flow of a fluid entering the ejector device.

An automatic brine salinity control system receives salt brine, by way of an on-off valve, at its inner end. The control system also receives fresh water, by way of a control valve, from a source of fresh water. The salt brine and the fresh water are mixed to reduce the salinity of the mixture. The salt brine-fresh water mixture is fed to the inner end of a mass flow sensor which measures the mass flow rates, density, volume flow rate, temperature and concentration thereof and transfers the data to a Programmable Logic Controller and computer. The mixture, after being discharged from the mass flow sensor, is fed to a three-way valve which is selectively connected to a storage tank, a waste tank or the brine production system. The PLC and computer controls the operation of the three-way valve, the control valve and the on-off valve.

In one embodiment, a pipeline interchange is described where a first product flows through a first pipeline and a second product flows through a second pipeline. A pipeline interchange is connected downstream to both the first pipeline and the second pipeline, wherein the pipeline interchange blends the first product flowing through the first pipeline with the second product flowing through the second pipeline. A third pipeline is connected downstream to the pipeline interchange, wherein the third pipeline flows a blended product created from the blending of the first product and the second product in the pipeline interchange. An automated analyzer can be situated downstream of the pipeline interchange capable of physical and/or chemically analyzing the blended product and generating blended data. A data analyzer is also positioned to interpret the blended data and communicate adjustments to the flow of both the first product and the second product to achieve desired physical and/or chemical characteristics in the blended product.

In one embodiment, a process is taught where the process begins by flowing a first product through a first pipeline and flowing a second product through a second pipeline. The process then produces a blended product by mixing both the first product and the second product within a pipeline interchange which is connected downstream to both the first pipeline and the second pipeline. The blended product then flows from the pipeline interchange to a third pipeline that is connected downstream of pipeline interchange. The blended product is analyzed in the third pipeline with an automated analyzer that is capable of physical and/or chemically analyzing the blended product in the third pipeline and generating blended data. The blended data is then interpreted in a data analyzer by comparing the physical and/or chemical characteristics of the blended data to an optimal blended data and determining the adjustments in the flow of the first product and the flow of the second product to achieve optimal blended data from the blended product. The adjustments are then communicated to adjust the flow of the first product in the first pipeline and the flow of the second product in the second pipeline.

In one embodiment, a process is taught where the process begins by flowing a first product through a first pipeline and flowing a second product through a second pipeline. In this embodiment, the first product in the first pipeline is analyzed with a first product automated analyzer that is capable of physical and/or chemically analyzing the first product in the first pipeline and generating a first product data. Additionally, in this embodiment, the second product in the second pipeline is analyzed with a second product automated analyzer that is capable of physical and/or chemically analyzing the second product in the second pipeline and generating a second product data. The process then produces a blended product by mixing both the first product and the second product within a pipeline interchange which is connected downstream to both the first pipeline and the second pipeline. The blended product then flows from the pipeline interchange to a third pipeline that is connected downstream of pipeline interchange. The first product data and the second product data is then interpreted in a data analyzer by comparing the physical and/or chemical characteristics of the physical and/or chemical characteristics of the first data to an optimal first data and the physical and/or chemical characteristics of the second data to an optimal second data. The data analyzer then determines the adjustments in the flow of the first product and the flow of the second product to achieve optimal blended data from the blended product. The adjustments are then communicated to adjust the flow of the first product in the first pipeline and the flow of the second product in the second pipeline.

A characteristic of edible oil used for frying operations may be determined using a sensor such as a spectrometer or capacitive sensor. Other attributes indicative of a prior, present, or future frying operations can be specified, and an analytical model indicative of a composite aging parameter can be applied using one or more attributes along with data obtained from the sensor indicative of oil degradation. Application of the analytical model may be used to trigger various actions relating to oil management, such as ranging from automatically generating a notification to an operator or automatically initiating oil management operations such as top-off, oil removal, or oil replacement in a frying apparatus.

The present invention concerns a method of mixing aqueous solutions, an apparatus for carrying out said method and the use of dosing devices with integrated dosing monitoring and stroke length control in an installation for mixing container aqueous solutions.

In one embodiment, a process is taught where the process begins by flowing a first product through a first pipeline and flowing a second product through a second pipeline. The process then produces a blended product by mixing both the first product and the second product within a pipeline interchange which is connected downstream to both the first pipeline and the second pipeline. The blended product then flows from the pipeline interchange to a third pipeline that is connected downstream of pipeline interchange. The blended product is analyzed in the third pipeline with an automated analyzer that is capable of physical and/or chemically analyzing the blended product in the third pipeline and generating blended data. The blended data is then interpreted in a data analyzer by comparing the physical and/or chemical characteristics of the blended data to an optimal blended data and determining the adjustments in the flow of the first product and the flow of the second product to achieve optimal blended data from the blended product. The adjustments are then communicated to adjust the flow of the first product in the first pipeline and the flow of the second product in the second pipeline.