A control system for monitoring an antimicrobial application system may include a controller having a monitoring program including an operations unit and an interface unit. The operations unit may include a sensor module operatively coupled to a plurality of sensors positioned to detect operation data associated with the application system in real-time. An adjustment module may adjust the operation of the application system. An analysis module may analyze real-time operation data and initiate a specified response when the analysis indicates that a trigger event has occurred. The response may include issuing a notification to a notification device or initiating the adjustment module to perform a control operation to modify the operation of the antimicrobial application system. A remote monitoring center may control multiple and remote application systems. Mobile devices and a control panel may be operable to interface with operations of the antimicrobial application system via the control system.

A control system for monitoring an antimicrobial application system may include a controller having a monitoring program including an operations unit and an interface unit. The operations unit may include a sensor module operatively coupled to a plurality of sensors positioned to detect operation data associated with the application system in real-time. An adjustment module may adjust the operation of the application system. An analysis module may analyze real-time operation data and initiate a specified response when the analysis indicates that a trigger event has occurred. The response may include issuing a notification to a notification device or initiating the adjustment module to perform a control operation to modify the operation of the antimicrobial application system. A remote monitoring center may control multiple and remote application systems. Mobile devices and a control panel may be operable to interface with operations of the antimicrobial application system via the control system.

In an object detection device to be installed to a vehicle and detect an object outside the vehicle, a position calculator sets multiple candidate points representing a candidate position of the object, based on positions of feature points extracted from a first image captured at a first time. The multiple candidate points are set to be denser within a detection range set based on a distance to the object detected by the ultrasonic sensor than outside the detection range. The position calculator estimates positions of the multiple candidate points at a second time which is after the first time, based on the positions of the multiple candidate points and movement information of the vehicle, and calculates the position of the object by comparing the estimated positions of the multiple candidate points at the second time and the positions of the feature points extracted from a second image captured at the second time.

The subject disclosure provides for a method of optical sensor calibration implemented with neural networks through machine learning to make real-time optical fluid answer product prediction adapt to optical signal variation of synthetic and actual sensor inputs integrated from multiple sources. Downhole real-time fluid analysis can be performed by monitoring the quality of the prediction with each type of input and determining which type of input generalizes better. The processor can bypass the less robust routine and deploy the more robust routine for remainder of the data prediction. Operational sensor data can be incorporated from a particular optical tool over multiple field jobs into an updated calibration when target fluid sample compositions and properties become available. Reconstructed fluid models adapted to prior field job data, in the same geological or geographical area, can maximize the likelihood of quality prediction on future jobs and optimize regional formation sampling and testing applications.

The subject disclosure provides for a method of optical sensor calibration implemented with neural networks through machine learning to make real-time optical fluid answer product prediction adapt to optical signal variation of synthetic and actual sensor inputs integrated from multiple sources. Downhole real-time fluid analysis can be performed by monitoring the quality of the prediction with each type of input and determining which type of input generalizes better. The processor can bypass the less robust routine and deploy the more robust routine for remainder of the data prediction. Operational sensor data can be incorporated from a particular optical tool over multiple field jobs into an updated calibration when target fluid sample compositions and properties become available. Reconstructed fluid models adapted to prior field job data, in the same geological or geographical area, can maximize the likelihood of quality prediction on future jobs and optimize regional formation sampling and testing applications.

A safety laser scanner for detecting objects in a monitored zone having a light transmitter for transmitting a light beam into the monitored zone; having a light receiver for generating a received signal from the light beam remitted by the objects; having a rotatable deflection unit for a periodic deflection of the light beam to scan the monitored zone in the course of the movement; having an internal reference target that reflects the transmitted light beam within the safety laser scanner to the light receiver to generate a reference signal; and having a control and evaluation unit that is configured to detect objects with reference to the received signal and to check the operability of the safety laser scanner with reference to the reference signal, The control and evaluation unit is here configured to change the sensitivity of the detection in dependence on the reference signal.

Disclosed embodiments provide systems and methods for preventing unintentional laser emission via an integrated foot controller having an electronic shroud that is implemented using electronics and software. The risk of unintentional laser emission is reduced by permitting laser emission via the pedal of the foot controller only at defined stages of surgical procedures, and by requiring that the user initiate control of laser emission by actuating existing switches on the foot controller in a specified sequence, such as a passcode unique to a particular user. Additionally, disclosed embodiments include one more proximity sensors useful to detect data indicative of the presence of the user's foot on the foot controller. Such data may be useful in determining whether the system should remain in a ready state for laser emission or whether the system should be taken out of ready state to reduce the risk of unintentional laser emission when the user's foot is not present.

The present invention relates to a method for determining the door position in a door system which has a rail for guiding a movable door element and a sensor element (10) for detecting a free movement path of the door element (50), the method comprising the steps of: detecting the state of the at least one sensor element (10), which can either be free of the door element (50) or covered by the door element (50), such that, in the event of a change in the state of the sensor element (10), the arrangement position of the sensor element (10) corresponds to the door element (50), and a door control lines the door position with the aid of this information.

An inductive component and UV germicidal light. The inductive component includes: a housing and several IR sensors; the housing is provided on the lamp and is provided with one installation cavity and several mounting holes connecting the installation cavity, the several mounting holes are provided around the periphery of the shell; several IR sensors are contained in the installation cavity, each of the IR sensors is provided corresponding to one the mounting hole, the several IR sensors connect to the lamp electrically, and the IR sensors are used for sensing human bodies. The inductive component is used for sensing human bodies to work together with the lamp to turn on or turn off the lamp and improve the convenience of the lamp.

An inductive component and UV germicidal light. The inductive component includes: a housing and several IR sensors; the housing is provided on the lamp and is provided with one installation cavity and several mounting holes connecting the installation cavity, the several mounting holes are provided around the periphery of the shell; several IR sensors are contained in the installation cavity, each of the IR sensors is provided corresponding to one the mounting hole, the several IR sensors connect to the lamp electrically, and the IR sensors are used for sensing human bodies. The inductive component is used for sensing human bodies to work together with the lamp to turn on or turn off the lamp and improve the convenience of the lamp.