An object of the present invention is to provide an immersion detection system and an immersion detection method capable of eliminating module replacement in the occurrence of immersion and simplifying system management. An immersion detection system according to the present invention includes: an immersion detection sensor having two optical fibers connected in series such that end faces of the two optical fibers abut on each other with a predetermined gap; an optical measurer that causes test light with a plurality of wavelengths to enter an optical transmission line having a plurality of the immersion detection sensors connected in series with optical fibers and measures a return loss of the test light at the immersion detection sensor for each of the wavelengths and for each of the immersion detection sensors; and a determiner that averages, for each of the immersion detection sensors, the return losses for the wavelengths and performs threshold determination on the presence or absence of immersion.

Data characterizing a first set of locations of a plurality of sensors at an industrial site is received. Gas concentration, wind velocity at the industrial site, and an identified leakage area at the industrial site are detected by the plurality of sensors. Locations and leakage rates of one or more leakage sources is determined in the identified leakage area by a predictive dispersion model. The predictive dispersion model is configured to receive the wind velocity at the industrial site and the locations and leakage rates of the one or more potential leakage sources as input and generate the set of estimated gas concentration as output. A comparative metric based on the set of estimated gas concentrations is compared to the detected gas concentrations. The selected location and leakage rates of the potential leakage sources in a current iteration of the iterative determination are provided.

Data characterizing a first set of locations of a plurality of sensors at an industrial site is received. Gas concentration, wind velocity at the industrial site, and an identified leakage area at the industrial site are detected by the plurality of sensors. Locations and leakage rates of one or more leakage sources is determined in the identified leakage area by a predictive dispersion model. The predictive dispersion model is configured to receive the wind velocity at the industrial site and the locations and leakage rates of the one or more potential leakage sources as input and generate the set of estimated gas concentration as output. A comparative metric based on the set of estimated gas concentrations is compared to the detected gas concentrations. The selected location and leakage rates of the potential leakage sources in a current iteration of the iterative determination are provided.

Disclosed herein is a remote monitoring apparatus for an air valve for semiconductor equipment. The remote monitoring apparatus includes: a communication network formed by selecting one or more from the Internet, a Bluetooth network, a Wi-Fi network, and an Internet of Things (IoT) network and then combining them, and configured to connect a device, a server, and a terminal; an inspection device installed on one side of an air valve for semiconductor equipment; a management server connected to the communication network, and configured to collectively manage failure diagnosis and monitoring information; and an operator terminal configured to output the failure diagnosis and monitoring information.

Disclosed herein is a remote monitoring apparatus for an air valve for semiconductor equipment. The remote monitoring apparatus includes: a communication network formed by selecting one or more from the Internet, a Bluetooth network, a Wi-Fi network, and an Internet of Things (IoT) network and then combining them, and configured to connect a device, a server, and a terminal; an inspection device installed on one side of an air valve for semiconductor equipment; a management server connected to the communication network, and configured to collectively manage failure diagnosis and monitoring information; and an operator terminal configured to output the failure diagnosis and monitoring information.

An approach for collecting disparate data within a pipe involves a sensor arrangement configured to be deployed within the pipe. The sensor arrangement includes a plurality of sensors configured to detect disparate data related to the pipe. Each sensor of the plurality of sensors is coupled to a respective collection computer on the sensor arrangement. A synchronization module is configured to synchronize the disparate data. A database is configured to store the synchronized data. A processor is configured to process the synchronized data. A user interface configured to present the synchronized data to a user.

An approach for collecting disparate data within a pipe involves a sensor arrangement configured to be deployed within the pipe. The sensor arrangement includes a plurality of sensors configured to detect disparate data related to the pipe. Each sensor of the plurality of sensors is coupled to a respective collection computer on the sensor arrangement. A synchronization module is configured to synchronize the disparate data. A database is configured to store the synchronized data. A processor is configured to process the synchronized data. A user interface configured to present the synchronized data to a user.

A measurement system is provided with an array of laser diodes with one or more Bragg reflectors. At least a portion of the light generated by the array is configured to penetrate tissue comprising skin. A detection system configured to: measure a phase shift, and a time-of-flight, of at least a portion of the light from the array of laser diodes reflected from the tissue relative to the portion of the light generated by the array; generate one or more images of the tissue; detect oxy- or deoxy-hemoglobin in the tissue; non-invasively measure blood in blood vessels within or below a dermis layer within the skin; measure one or more physiological parameters based at least in part on the non-invasively measured blood; and measure a variation in the blood or physiological parameter over a period of time.

A chemical release detection system includes a camera, an output control member, a mitigation member, and a controller in operative communication with the camera, the output control member, and the mitigation member. The camera is configured to detect a chemical release. The output control member is configured to generate commands. The mitigation member is configured to reduce risk generated by the chemical release based on the commands by the output control member. The controller is configured to notify a user of the chemical release, and provide an origin of the release and a direction of the release. The controller controls the operation of the output control member and the mitigation member.

A gas inspection management system includes: an inspection information database that stores inspection results and information on links to inspection images for objects of inspection; an access condition receiver that receives an input of an access request and an input of condition specification from a manager; a hardware processor that: selects part or all of the objects from the inspection information database, based on the access request, acquires information on the inspection results and the information on the links for the selected objects, and generates a display image including the information on the inspection results and the information on the links for the selected objects; and a display that displays the display image.