A plumbing system may include a first conduit that supplies a fluid to a destination device. The plumbing system may also include a second conduit concentric to the first conduit. The second conduit includes an indicator material that changes one or more properties of the fluid supplied to the destination device when the fluid contacts the indicator material via an opening present in the first conduit.

A plumbing system may include a first conduit that supplies a fluid to a destination device. The plumbing system may also include a second conduit concentric to the first conduit. The second conduit includes an indicator material that changes one or more properties of the fluid supplied to the destination device when the fluid contacts the indicator material via an opening present in the first conduit.

A gas monitoring image recording device, a gas monitoring image recording method, and a gas monitoring image recording program according to the present invention involve: acquiring gas monitoring image data including a plurality of time-series images for use in monitoring a gas leak; extracting a leakage candidate area as a candidate for a gas leak based on the gas monitoring image data acquired; extracting predetermined features related to the gas leak in response to extracting the leakage candidate area; and causing a storage unit to store the features extracted in association with the gas monitoring image data from which the leakage candidate area has been extracted.

A gas monitoring image recording device, a gas monitoring image recording method, and a gas monitoring image recording program according to the present invention involve: acquiring gas monitoring image data including a plurality of time-series images for use in monitoring a gas leak; extracting a leakage candidate area as a candidate for a gas leak based on the gas monitoring image data acquired; extracting predetermined features related to the gas leak in response to extracting the leakage candidate area; and causing a storage unit to store the features extracted in association with the gas monitoring image data from which the leakage candidate area has been extracted.

Embodiments of the present disclosure relate to a motor and an industrial robot. The motor comprises a main body, an inner end cover, an outer end cover, a first oil seal, a second oil seal and an oil leakage sensor. The main body comprises a rotor extending along an axial direction. The inner end cover is coupled to the main body and comprises a first hole for the rotor to pass through. The outer end cover is arranged outside the inner end cover along the axial direction and abuts against the inner end cover. The outer end cover comprises a second hole for the rotor to pass through, wherein a first oil seal is arranged adjacent to the second hole and a second oil seal is arranged inside the first oil seal and is adjacent to the second hole. A gap is provided between the first oil seal and the second oil seal along the axial direction. The oil leakage sensor is provided in a through hole penetrating the outer end cover along the axial direction and is configured to detect the amount of oil or grease flowing to the oil leakage sensor via the first oil seal. The motor according to the present disclosure is characterized in dual sealing and an automatic oil leakage detection, thereby improving the motor sealing reliability and the digitalization of the motor oil leakage detection.

Embodiments of the present disclosure relate to a motor and an industrial robot. The motor comprises a main body, an inner end cover, an outer end cover, a first oil seal, a second oil seal and an oil leakage sensor. The main body comprises a rotor extending along an axial direction. The inner end cover is coupled to the main body and comprises a first hole for the rotor to pass through. The outer end cover is arranged outside the inner end cover along the axial direction and abuts against the inner end cover. The outer end cover comprises a second hole for the rotor to pass through, wherein a first oil seal is arranged adjacent to the second hole and a second oil seal is arranged inside the first oil seal and is adjacent to the second hole. A gap is provided between the first oil seal and the second oil seal along the axial direction. The oil leakage sensor is provided in a through hole penetrating the outer end cover along the axial direction and is configured to detect the amount of oil or grease flowing to the oil leakage sensor via the first oil seal. The motor according to the present disclosure is characterized in dual sealing and an automatic oil leakage detection, thereby improving the motor sealing reliability and the digitalization of the motor oil leakage detection.

A lidar system for detection of a gas comprises an optical transceiver for transmitting and receiving optical radiation. A method of operating the system comprises performing spatially scanned sensing measurements of the gas across a system field of view, and analyzing the sensing measurements to determine the presence and location of excess of the gas in the system field of view. Based on the determined location, an adjusted system field of view is determined and spatially scanned sensing measurements of the gas are performed across the adjusted system field of view to obtain sensing measurements at higher spatial resolution.

Devices, systems and methods for leak detection are provided herein. Also provided are devices, systems and methods for monitoring and/or measuring fluid usage. In some aspects, a system comprising a sensor, a processing system, and a platform are provided. In some aspects, the sensor may be coupled to a spinning device. The sensor can be configured to detect fluid data, which can comprise, for example, displacement data of liquid and/or movement data associated with the liquid in a container and/or flow data associated with a flow of fluid in a conduit. The processing system can be coupled with the sensor and configured to communicate the fluid data. The platform can comprise an application communicatively coupled to one or more databases storing evaluation data (e.g., known pattern data) and configured to receive the fluid data and determine if there is a leak.

In some embodiments, data from multiple vehicle-based natural gas leak detection survey runs are used by computer-implemented machine learning systems to generate a list of natural gas leaks ranked by hazard level. A risk model embodies training data having known hazard levels, and is used to classify newly-discovered leaks. Hazard levels may be expressed by continuous variables, and/or probabilities that a given leak fits within a predefined category of hazard (e.g. Grades 1-3). Each leak is represented by a cluster of leak indications (peaks) originating from a common leak sources. Hazard-predictive features may include maximum, minimum, mean, and/or median CH4/amplitude of aggregated leak indications; estimated leak flow rate, determined from an average of leak indications in a cluster; likelihood of leak being natural gas based on other indicator data (e.g. ethane concentration); probability the leak was detected on a given pass; and estimated distance to leak source.

In some embodiments, data from multiple vehicle-based natural gas leak detection survey runs are used by computer-implemented machine learning systems to generate a list of natural gas leaks ranked by hazard level. A risk model embodies training data having known hazard levels, and is used to classify newly-discovered leaks. Hazard levels may be expressed by continuous variables, and/or probabilities that a given leak fits within a predefined category of hazard (e.g. Grades 1-3). Each leak is represented by a cluster of leak indications (peaks) originating from a common leak sources. Hazard-predictive features may include maximum, minimum, mean, and/or median CH4/amplitude of aggregated leak indications; estimated leak flow rate, determined from an average of leak indications in a cluster; likelihood of leak being natural gas based on other indicator data (e.g. ethane concentration); probability the leak was detected on a given pass; and estimated distance to leak source.