A method for checking, evaluation, and/or error diagnosis of a sensor system. The sensor system includes at least one sensor unit and an internal data processing unit. The sensor unit outputs sensor data as a function of a physical stimulus and the internal data processing unit is configured to process the sensor data output by the sensor unit to form output data. The sensor data output by the sensor unit is read out from the sensor system and recorded by an external processor unit in a recording step. The recorded sensor data are fed by the external processor unit into the internal data processing unit in an injection step. The fed-in sensor data are processed by the internal data processing unit in a processing step. A sensor system, and a system made up of a sensor system and a processor unit are also described.

A local management-based Power Over Ethernet (PoE) switch and a management system. The PoE switch includes a casing, a Liquid Crystal Display (LCD) screen, a monitoring Micro Control Unit (MCU) module, a power system module, a display module, a PoE system module, a switch system module, a key group arranged on the casing, and a key module. The key module transmits information to the MCU module through the display module, and the MCU module connected with the display module, the PoE system module, the switch system module and the key module respectively through a bus performs corresponding operation according to the information. By adoption of the technical solution, working states of the PoE and switch system modules are visually displayed on the screen, and then are correspondingly processed according to the information and displayed on the screen.

The technical decision relates to control of technological processes and can be used for monitoring and optimizing the production of glass products.

Technical results of the claimed invention consist in ensuring the continuous and uninterrupted collection of objective data from all technological sections of the production line and optimization of the whole production process on the basis of their analysis.

Technical results are achieved in that

Technical results are achieved due to the method for placing control units and communication units on a production line, which makes it possible to collect data about parameters and to transmit for their control unit with the possibility to receive the command data back.

An information handling system may include a processor, a management controller communicatively coupled to the processor and configured for out-of-band management of the information handling system, and a smart network interface card communicatively coupled to the processor and the management controller and configured to receive telemetry information from telemetry sources of the information handling system and perform advanced processing of the telemetry information.

A fault tolerant interface includes a sensor and a safety control that are electrically connected to each other by a single wire. The sensor is configured to provide various signals to the safety control dependent on environmental parameters. Based on the ignal received by the safety control, the fault tolerant interface may act accordingly and place the overall system in a mitigative state in the event of a fault state or an alarm state. Data and fault or alarm states are detected by determining a first time interval between a first edge and a second edge of a signal, wherein an edge is one of a transition of the signal from a first voltage to a second voltage or a transition of the signal from the second voltage to the first voltage on a single wire. Data values versus fault or alarm states are assigned based on whether a current time interval corresponds to the first time interval or the second time interval, or another time interval associated with alarm or fault states.

A highly versatile control system which is able to control devices in a linked manner is provided. The control system is configured to condition air of a single space 9, and includes: an air conditioner 2 and a floor heating apparatus 3 which cannot directly communicate with each other; a router 4 which is able to communicate with the air conditioner 2 and the floor heating apparatus 3 via communication lines 11 and 12; and a terminal device 5 which is connectable to the Internet 10 and is able to communicate with the router 4 via a communication line 13. The air conditioner 2 and the floor heating apparatus 3 are controlled in a linked manner by a control signal sent from the terminal device 5 via the router 4.

Proposed are an input/output device and a control method for the same, the device including a first input/output terminal that receives a forward signal from a limit switch or outputs power to a sensor; a second input/output terminal that receives a backward signal from the limit switch or receives a sensing signal from the sensor; and an integrated circuit unit that determines a communication target for exchanging a signal through the first input/output terminal and the second input/output terminal, and selectively receives or outputs the forward signal, the backward signal, the power of the sensor and the sensing signal based on the determination result.

The present invention discloses a monitoring system of a cable laying state, comprising: a rotary connector, a composite steel cable and a monitoring system. Both ends of the rotary connector are respectively connected with a laid cable and the composite steel cable, wherein the rotary connector is provided with a tension sensor, a video sensor and an inertial navigation measurement module; and tensile force, video, and inertial navigation information are transmitted to the monitoring system through the composite steel cable. The monitoring system of the cable laying state disclosed by the present invention combines a video technology, a measurement technology and an inertial navigation technology and can monitor an environment in a pipeline, a cable core stress state and a three-dimensional coordinate of an actual path during a cable laying process in real time.

Various aspects described herein relate to a machine learning based signal recovery. In one example, a computer-implemented method of noise contaminated signal recovery includes receiving, at a server, a first signal including a first portion and a second portion, the first portion indicative of data collected by a plurality of sensors, the second portion representing noise; performing a first denoising process on the first signal to filter out the noise to yield a first denoised signal; applying a machine learning model to determine a residual signal indicative of a difference between the first signal and the first denoised signal; and determining a second signal by adding the residual signal to the first denoised signal, the second signal comprising (i) signals of the first portion with higher magnitudes than the noise in the second portion, and (ii) signals of the first portion having lower magnitudes than the noise in the second portion.

Examples disclosed herein relate generally to providing frames at a network port. Some examples relate to an apparatus. The apparatus may include a network port to directly couple the apparatus to a switch. The apparatus may also include a transmission logic to provide a frame at the network port at a time slot of a switch-associated cycle time. The transmission logic may provide the frame at the time slot at least partially responsive to an offset value and a port number. Related devices, systems and methods are also disclosed.