A hydrogen generator electrically coupled to a cloud monitoring system comprises a hydrogen generating device, a monitoring device, a network device, and a controlling device. The monitoring device monitors the machine condition of the hydrogen generating device and generates a condition signal. The network device selectively transmits a machine information including the condition signal to the cloud monitoring system. The controlling device receives an operating parameter from the cloud monitoring system via the network device and controls the hydrogen generating device according to the operating parameter. The hydrogen generator monitoring system of the present invention collects the relevant data of the user using the hydrogen generator and tracks the health status of the user to perform big data analysis.

A hydrogen generator electrically coupled to a cloud monitoring system comprises a hydrogen generating device, a monitoring device, a network device, and a controlling device. The monitoring device monitors the machine condition of the hydrogen generating device and generates a condition signal. The network device selectively transmits a machine information including the condition signal to the cloud monitoring system. The controlling device receives an operating parameter from the cloud monitoring system via the network device and controls the hydrogen generating device according to the operating parameter. The hydrogen generator monitoring system of the present invention collects the relevant data of the user using the hydrogen generator and tracks the health status of the user to perform big data analysis.

A resistance welder controller controls a welding current flowing through an inverter transformer, detects the welding current flowing through the inverter transformer, measures an energizing time and a point time interval of the detected welding current, calculates a usage rate of the inverter transformer using the energizing time and the point time interval, stores an equivalent current curve indicating a relationship between a current value of the welding current and the usage rate of the inverter transformer when the inverter transformer is operated at a rated capacity, and determines whether a relationship between the current value and the calculated usage rate of the inverter transformer exceeds the rated capacity of the inverter transformer based on the equivalent current curve, continues an operation when the relationship does not exceed the rated capacity of the inverter transformer, and stops the operation when the relationship exceeds the rated capacity of the inverter transformer.

A resistance welder controller controls a welding current flowing through an inverter transformer, detects the welding current flowing through the inverter transformer, measures an energizing time and a point time interval of the detected welding current, calculates a usage rate of the inverter transformer using the energizing time and the point time interval, stores an equivalent current curve indicating a relationship between a current value of the welding current and the usage rate of the inverter transformer when the inverter transformer is operated at a rated capacity, and determines whether a relationship between the current value and the calculated usage rate of the inverter transformer exceeds the rated capacity of the inverter transformer based on the equivalent current curve, continues an operation when the relationship does not exceed the rated capacity of the inverter transformer, and stops the operation when the relationship exceeds the rated capacity of the inverter transformer.

The disclosure relates to an autonomous device for tracking the usage time of a generator set, capable of providing an operating time of the generator set. The module includes at least one first sensor (101) capable of measuring a first parameter representing a state of operation of said generator set (9), a data processor furnishing the characteristic information for an operating time, as a function of the first parameter, storage of the characteristic information for an operating time, and a transmitter capable of transmitting the characteristic information for an operating time to a terminal or an external server.

A method for monitoring a machine operating at a worksite, is provided. The machine includes an implement for performing one or more implement operations and is configured to be propelled by a set of ground engaging members between a first location and second location. A first input indicative of start of a travelling operation of the machine after completion of a first implement operation at the first location, is received. One or more transmission parameters associated with the machine are determined, when the machine moves from first location to second location. A second input indicative of end of the travelling operation at start of a second implement operation at the second location is received. A number of revolutions completed by ground engaging members between the first location and the second location is determined based on the transmission parameters. The number of revolutions is displayed on input/output device associated with machine.

A method for monitoring a machine operating at a worksite, is provided. The machine includes an implement for performing one or more implement operations and is configured to be propelled by a set of ground engaging members between a first location and second location. A first input indicative of start of a travelling operation of the machine after completion of a first implement operation at the first location, is received. One or more transmission parameters associated with the machine are determined, when the machine moves from first location to second location. A second input indicative of end of the travelling operation at start of a second implement operation at the second location is received. A number of revolutions completed by ground engaging members between the first location and the second location is determined based on the transmission parameters. The number of revolutions is displayed on input/output device associated with machine.

A method is described for estimating, by measurements taken by an inductive sensor, the time for which an endothermic motor of a tool has operated at predetermined rotating speeds, and an apparatus implementing the method also described. The method in particular includes cyclically measuring, at a pre-set sampling period, an overall time interval by starting at the beginning of the measuring of the overall time interval when a first variation peak of the electromagnetic field is sensed and terminating the measuring of the overall time interval when a last variation peak of the electromagnetic field is sensed. The first and the last peaks are the start and tail ends of a sequence of peaks having a predetermined number of successive peaks, the number of peaks being positive, whole, at least equal to six and a least common multiple of two and three.

A method is described for estimating, by measurements taken by an inductive sensor, the time for which an endothermic motor of a tool has operated at predetermined rotating speeds, and an apparatus implementing the method also described. The method in particular includes cyclically measuring, at a pre-set sampling period, an overall time interval by starting at the beginning of the measuring of the overall time interval when a first variation peak of the electromagnetic field is sensed and terminating the measuring of the overall time interval when a last variation peak of the electromagnetic field is sensed. The first and the last peaks are the start and tail ends of a sequence of peaks having a predetermined number of successive peaks, the number of peaks being positive, whole, at least equal to six and a least common multiple of two and three.

A sensor data stream is provided consisting of feature vectors acquired by sensors of rotating equipment, similar feature vectors are aggregated in microclusters. For newly arriving feature vectors, a correlation distance measure between the new feature vector and each microcluster is calculated. If there is no microcluster in range, then a new microcluster is created. Otherwise, the feature vector is assigned to the best fitting microcluster, and the necessary statistical information is incorporated into the aggregation contained in the microcluster. In other words, similar feature vectors are aggregated in the same microclusters. The microclusters thus provide a generic summary structure that captures the necessary statistical information of the incorporated feature vectors. At the same time, the loss of accuracy is quite small. Clustering the sensor data stream with microclusters has the benefit that the computational complexity can be reduced significantly.