Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.

An air purification system is provided which includes measurement of a concentration of a target pollutant within the air. A gas sensor is used for sensing a concentration of the pollutant (although it will detect other pollutants as well due to cross-sensitivity). A filter is provided which selectively removes the target pollutant while having a significantly smaller effect in reducing other pollutants to which the sensor is cross-sensitive. A gas sensor response is obtained before filtering, a gas sensor response after filtering, and the sensitivity characteristics of the gas sensor to the pollutant are processed, thereby to determine a gas concentration of the pollutant in the air before filtering. In this way, the concentration measurement is better than a direct measurement with the gas sensor as a result of a low selectivity of the gas sensor.

A particulate detection apparatus for controlling a particulate sensor which detects the amount of particulates discharged from a filter for collecting particulates contained in exhaust gas. The particulate sensor includes a detection section configured to electrify particulates contained in exhaust gas so as to produce electrified particulates. The particulate detection apparatus includes a period judgment section, an output obtainment section and an anomaly judgment section. The period judgment section judges whether or not the present point in time is within a previously set anomaly determination period just after completing a filter regeneration process. The output obtainment section obtains a sensor output representing the result of detection by the particulate sensor in the case where the present point in time is judged to be within the anomaly determination period. The anomaly judgment section judges whether or not the particulate sensor is anomalous based on the sensitivity characteristic of the sensor output.

A method includes projecting light to obtain a reference measurement using a first photoresistor; collecting dust on a platform during a collection time interval; and projecting light across the platform to obtain a dust measurement using the first photoresistor or a second photoresistor.

Examples of the present disclosure relate to systems and methods determining the minimum concentration of sealing particles to position within a drilling fluid to prevent losing drilling fluid into a hydraulic fracture.

A method of integrity testing porous materials that is non-destructive to the material being tested. The inlet gas stream includes at least two gases, wherein one of the gases has a different permeability in liquid than the other, such as oxygen and nitrogen in water. The relative permeability of the gases is measured in the retentate stream, thereby avoiding accessing the permeate stream and potentially introducing contaminants to the material being tested. The integrity test is capable of detecting the presence of oversized pores or defects that can compromise the retention capability of the porous material.

A conditioning system for a filter module is disclosed. The conditioning system may generally include an inlet, a heat exchanger, a magnetically levitated pump, a channel provided to bypass the heat exchanger, a controller, an outlet, and a base. The system may have components lined with corrosion-resistant materials. A method of conditioning a filter module is also disclosed. The method may generally include measuring TOC in a source of ultrapure water, heating the ultrapure water, rinsing a filter module with the heated water, flushing the filter module with ambient temperature water, and repeating the rinsing with heated water and flushing with ambient temperature water. A method of facilitating conditioning of the filter module is also disclosed. The method may generally include providing a portable filter module conditioning system and providing instructions for installation or use.

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.

The sensor includes a filter member including cells that trap PM in exhaust gas, electrode members arranged to face each other with the cell interposed and forming a capacitor, an electric heater that executes, when an amount of PM has accumulated in the cells, filter regeneration for combusting and removing the PM, a temperature sensor that acquires the temperature of the filter member, a storage unit that stores therein a reference temperature, which is the temperature of the filter member where the filter regeneration has been executed in a state in which PM is not flowing into the filter member, and estimation units that estimate a PM amount included in the exhaust gas based on (a) an electrostatic capacitance change amount between the electrode members during a regeneration interval and (b) a difference between the temperature acquired by the temperature sensor and the reference temperature during a filter regeneration interval.

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.