Exemplary methods for detecting presence of water in a sample include: heating a light source to a predetermined temperature at which the light source emits thermal radiation; placing a sample between the light source and a detector; transmitting the thermal radiation from the light source through the sample and onto the detector; and determining a presence or an absence of water within the sample based on the thermal radiation transmitted onto the detector. Exemplary systems for detecting presence of water in a sample are also disclosed.

A measurement device includes a base, a platform, a temperature sensor, and a weighing component. The platform is movably disposed on the base. The temperature sensor is disposed on the base or the platform. The weighing component is accommodated in the base. The platform has a weight-measuring area and a temperature-measuring area which is located within the weight-measuring area and corresponding to the temperature sensor.

Provided is a vacuum-pumping bottle stopper, comprising a base, a shell which can enclose a cavity with the base, a vacuum-pumping device arranged in the cavity and used for pumping out air in a bottle to form a vacuum, a temperature measurement unit, and a temperature display unit, wherein the temperature measurement unit is used for measuring the temperature in the bottle; and the temperature display unit is electrically connected to the temperature measurement unit and is used for displaying the temperature measured by the temperature measurement unit. The temperature measurement unit and the temperature display unit are integrated on the vacuum-pumping bottle stopper, such that the temperature of the liquid in the bottle can be conveniently measured, thereby improving the use satisfaction for a user.

A system includes a vertical molten sulfur pump assembly that includes a top portion adjacent to a first end of the vertical molten sulfur pump assembly and a bottom portion adjacent to a second end of the vertical molten sulfur pump assembly. A pump motor is disposed in the top portion, an impeller is disposed in the bottom portion within an impeller casing, and a shaft is disposed within a central column and connecting the pump motor with the impeller. A pump inlet is disposed at the second end below the impeller casing. The pump inlet and the impeller casing are configured to be immersed in molten sulfur. The vertical molten sulfur pump assembly is configured to pump the molten sulfur into the inlet and upwards through a discharge passageway by rotation of the impeller. A vibration sensor and a temperature sensor are disposed on an external surface of the bottom portion, on or proximate to the impeller casing and the pump inlet. The temperature sensor is configured to measure a temperature of the molten sulfur proximate to the pump inlet. The vibration sensor includes a substrate comprising a polymer and a resonant layer disposed on a surface of the substrate. The resonant layer includes an electrically conductive nanomaterial and is configured to produce a resonant response in response to receiving a radio frequency signal.

A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.

An automated computer-vision system is used for timing the sand drainage in a sand management arrangement that handles flowback of sand and other solid materials in a slurry of flow from well(s) at wellsite(s). The automated system uses infrared imaging of flowback equipment to determine a level of solids (sand) in the equipment. Image processing of the temperature differences of the content in the equipment gives a demarcation of the sand and liquid separation in the equipment, which is used to determine how much sand is present. If the equipment is found to be full or above a predefined benchmark, the automated system operates a discharge skid to discharge the contents to a waste tank.

A temperature-measuring device including a transmitter and a receiver. The transmitter is configured to measure the temperature of the material being contained in a container being revolved and/or rotated, and is configured to transmit data including a value of the measured temperature. The receiver is configured to receive the transmitted data. The transmitter is disposed in or on an upper lid detachably secured to the container, so that the transmitter can detect an incident light emitted from the material, and the transmitter can be revolved along with the container.

There is provided a thermometer structure including a circuit board, an infrared thermometer, a heat sink and a metal block. The infrared thermometer is arranged on the circuit board and electrically connected thereto. The heat sink is arranged on the circuit board and covers the infrared thermometer. The metal block is in contact with at least one of the circuit board and the heat sink to stabilize a local temperature of the thermometer structure.

A method of feedback controlling a 3D printing process in real time, and a system therefor are disclosed. The method includes collecting big data, generated through 3D printing experiments, related to process variables of 3D printing, measurement signals, and 3D printing quality of the 3D printing object; building an artificial neural network model by performing machine-learning based on the collected big data; evaluating whether or not a 3D printing quality of the 3D printing object is abnormal in real time based on an actual measurement signal of the 3D printing object and the artificial neural network model; and feedback controlling printing quality of the 3D printing object in real time based on the evaluation result of whether or not the 3D printing quality of the 3D printing object is abnormal.

Asphalt mixing plant, comprising a mixing drum and a temperature monitoring system, the temperature monitoring system comprising a temperature sensor configured for contactless measurement of a material temperature of an asphalt mix to obtain at least a first temperature value for at least a first point of time, where the temperature sensor is arranged at an area of an output of the mixing drum or at a discharge chute of the mixing drum; and an operation and monitoring unit and a remote server; whereby the operation and monitoring unit is configured to wirelessly transmit the at least first temperature value to the remote server via a wireless communication interface unit.