A system for cabling infrastructure that includes at least one port, at least one shutter, at least one sensor and a gateway is provided. The port is configured to be selectively coupled to a connector. Each shutter is configured to have an open state that allows access to an associated port and a closed state that covers the port. Each sensor is configured to sense the open state and the closed state of an associated shutter and generate shutter state signals that include information relating to a current sensed state of the associated shutter and an identification of a port that is associated with the associated shutter. The gateway is in wireless communication with each sensor to receive the shutter state signals. The gateway is configured to communicate the shutter state signals that indicate a change in a state of an associated shutter to a remote location.

A system for cabling infrastructure that includes at least one port, at least one shutter, at least one sensor and a gateway is provided. The port is configured to be selectively coupled to a connector. Each shutter is configured to have an open state that allows access to an associated port and a closed state that covers the port. Each sensor is configured to sense the open state and the closed state of an associated shutter and generate shutter state signals that include information relating to a current sensed state of the associated shutter and an identification of a port that is associated with the associated shutter. The gateway is in wireless communication with each sensor to receive the shutter state signals. The gateway is configured to communicate the shutter state signals that indicate a change in a state of an associated shutter to a remote location.

The present disclosure provides a method and an Internet of Things system for gas usage safety warning based on a smart gas, the method is performed by a smart gas safety management platform of an Internet of Things system for gas usage safety warning based on a smart gas, comprising: based on gas usage data, determining a gas monitoring object from at least one gas device; determining initial objects based on the gas monitoring object and a gas usage threshold; determining a target object based on historical gas data of the initial objects; and sending gas usage safety warning information to a gas user corresponding to the target object.

The present disclosure provides a method and an Internet of Things system for gas usage safety warning based on a smart gas, the method is performed by a smart gas safety management platform of an Internet of Things system for gas usage safety warning based on a smart gas, comprising: based on gas usage data, determining a gas monitoring object from at least one gas device; determining initial objects based on the gas monitoring object and a gas usage threshold; determining a target object based on historical gas data of the initial objects; and sending gas usage safety warning information to a gas user corresponding to the target object.

The invention relates to a modular communication device having a master element with a control unit and bidirectional electrical control input-outputs, a series of modular elements having an upstream connection interface with a series of upstream input-output terminals disposed in locations forming a predetermined pattern, a downstream connection interface having a series of downstream input-output terminals disposed in locations forming the same predetermined pattern, a plurality of bidirectional electrical links connecting an upstream input-output terminal to a downstream input-output terminal in such a manner as to form a circular permutation between the ranks of the upstream and downstream input-output terminals electrically connected in pairs, and in which one of the electrical links is a local control link having an electronic communications module, the modular elements being connected to one another.

The invention relates to a modular communication device having a master element with a control unit and bidirectional electrical control input-outputs, a series of modular elements having an upstream connection interface with a series of upstream input-output terminals disposed in locations forming a predetermined pattern, a downstream connection interface having a series of downstream input-output terminals disposed in locations forming the same predetermined pattern, a plurality of bidirectional electrical links connecting an upstream input-output terminal to a downstream input-output terminal in such a manner as to form a circular permutation between the ranks of the upstream and downstream input-output terminals electrically connected in pairs, and in which one of the electrical links is a local control link having an electronic communications module, the modular elements being connected to one another.

A predictive maintenance system is disclosed. The system includes a network of analog and digital sensors, each sensor configured for measuring telemetry data associated with temperature levels, voltage levels, current levels, and other analog or digital parameters. The system includes microprocessors for receiving the (digitized) analog and digital telemetry data, tabulating and timestamping the raw telemetry datasets. The microprocessors compress the raw data and reduce its dimensionality by generating principal component sets from the raw data based on scalar parameters corresponding to machine learning algorithms stored to memory, the principal component sets capturing a majority of variances within the raw data. The principal component sets are organized into data packets including identifiers for the relevant algorithms. The data packets are transmitted via real time networks for either onboard storage or ground-based analysis.

A predictive maintenance system is disclosed. The system includes a network of analog and digital sensors, each sensor configured for measuring telemetry data associated with temperature levels, voltage levels, current levels, and other analog or digital parameters. The system includes microprocessors for receiving the (digitized) analog and digital telemetry data, tabulating and timestamping the raw telemetry datasets. The microprocessors compress the raw data and reduce its dimensionality by generating principal component sets from the raw data based on scalar parameters corresponding to machine learning algorithms stored to memory, the principal component sets capturing a majority of variances within the raw data. The principal component sets are organized into data packets including identifiers for the relevant algorithms. The data packets are transmitted via real time networks for either onboard storage or ground-based analysis.

Equipment in a production facility is managed with use of information from the equipment and information from a sensor for measurement of a state of the equipment, while achieving a high degree of freedom in increasing and decreasing the number of such sensors.

The present invention is provided with a gateway (10) and a server (20). The gateway is connected to a controller included in each piece of equipment and connected, without being intermediated by the controller, to an externally attached sensor accompanying the each piece of equipment. The server is connected to the gateway. The gateway carries out the processes of: receiving, from each controller, information indicative of an internal state of the piece of equipment; receiving, from each sensor, information indicative of an external state of the piece of equipment; and transmitting these pieces of information to the server. The server carries out a process of combining and outputting the information indicative of the internal state and the information indicative of the external state received from the gateway.

Equipment in a production facility is managed with use of information from the equipment and information from a sensor for measurement of a state of the equipment, while achieving a high degree of freedom in increasing and decreasing the number of such sensors.

The present invention is provided with a gateway (10) and a server (20). The gateway is connected to a controller included in each piece of equipment and connected, without being intermediated by the controller, to an externally attached sensor accompanying the each piece of equipment. The server is connected to the gateway. The gateway carries out the processes of: receiving, from each controller, information indicative of an internal state of the piece of equipment; receiving, from each sensor, information indicative of an external state of the piece of equipment; and transmitting these pieces of information to the server. The server carries out a process of combining and outputting the information indicative of the internal state and the information indicative of the external state received from the gateway.