A car wash additive measuring system and method use a bubbler which provides a flow of pressurized gas through each bulk container. A pressure of each individual flow of pressurized gas is measured by a pressure transducer to output a signal indicative of the level of additive stored in the container. Flow rates of the respective flow of pressurized gas may be adjusted to accommodate particular additives.

One or more techniques and/or systems are disclosed for providing level sensing of a fluid in a dispenser canister. The sensor includes a housing having a fluid cavity configured to receive a fluid therein, with the housing having an open end and an opening in a wall opposite the open end. The sensor has a diaphragm coupled to and closing the open end of the housing and a sensing device having a sensing end. The sensing device is coupled to the housing with the sensing end extending into the opening of the wall of the housing, thereby not making direct contact with the fluid.

In accordance with at least one aspect of this disclosure, a method for measuring a liquid level in a liquid container includes, emitting one or more guided waves from a guided wave sensor array through a liquid volume within a liquid container, the guided wave sensor array coupled to the liquid container, detecting the one or more guided waves with at least one of the guided wave sensor array or a second guided wave sensor array, and determining a liquid level of the liquid container using the one or more detected guided waves.

Combining several capillary tubes in one depth gauge, which measure the depth in different ranges, will allow obtaining a measuring scale close to linear and eliminate the main disadvantage of a capillary depth gauge.

Combining several capillary tubes in one depth gauge, which measure the depth in different ranges, will allow obtaining a measuring scale close to linear and eliminate the main disadvantage of a capillary depth gauge.

The present disclosure relates to a sensor module and a laundry treating apparatus including the same. The laundry treating apparatus includes a cabinet forming an outer shape of the apparatus, a tub disposed inside the cabinet in a vibrating manner, a drum rotatably disposed inside the tub, a motor disposed on the tub to rotate the drum, a water supplier for supplying washing water to the tub, a water discharger for discharging the washing water in the tub, a sensor module detecting a water level of the washing water stored in the tub, and at the same time, detecting a vibration of the tub, and a sensor module mount disposed on a rear portion of a top of the tub, wherein the sensor module is detachably installed into the sensor module mount.

The present disclosure relates to a sensor module and a laundry treating apparatus including the same. The laundry treating apparatus includes a cabinet forming an outer shape of the apparatus, a tub disposed inside the cabinet in a vibrating manner, a drum rotatably disposed inside the tub, a motor disposed on the tub to rotate the drum, a water supplier for supplying washing water to the tub, a water discharger for discharging the washing water in the tub, a sensor module detecting a water level of the washing water stored in the tub, and at the same time, detecting a vibration of the tub, and a sensor module mount disposed on a rear portion of a top of the tub, wherein the sensor module is detachably installed into the sensor module mount.

The present disclosure discloses a risk prevention method based on energy of natural gas in a full cycle, including: obtaining loss data of natural gas based on metering equipment, wherein the loss data of the natural gas includes metering data of the natural gas consumed in a measured area during a plurality of time periods; obtaining output data of natural gas, wherein the output data of the natural gas includes metering data of the natural gas transmitted by a gas supplier in the measured area during the plurality of time periods; based on the processing of loss data of natural gas and output data of natural gas, determining whether natural gas transmission is abnormal.

The present disclosure discloses a risk prevention method based on energy of natural gas in a full cycle, including: obtaining loss data of natural gas based on metering equipment, wherein the loss data of the natural gas includes metering data of the natural gas consumed in a measured area during a plurality of time periods; obtaining output data of natural gas, wherein the output data of the natural gas includes metering data of the natural gas transmitted by a gas supplier in the measured area during the plurality of time periods; based on the processing of loss data of natural gas and output data of natural gas, determining whether natural gas transmission is abnormal.

The present invention provides a liquid level gage with C-plane sapphire. In an exemplary embodiment, the liquid level gage includes a hood assembly, a liquid column assembly, and an illuminator assembly. In an exemplary embodiment, the liquid column assembly includes a plurality of gage body assemblies. In an exemplary embodiment, each gage body assembly includes a body, a front port assembly, and a rear port assembly. In an exemplary embodiment, each front port assembly and each rear port assembly includes a glass module and a nut module. In an exemplary embodiment, each glass module includes a glass disk. In an exemplary embodiment, each glass disk is formed from C-plane sapphire.