A method and system to detect a plurality of device activities of a device using a device activity monitoring system has been described. The device monitoring activity system includes a vibration sensor in electronic communication with the device to detect vibration of the device. An interrupt counter in communication with the vibration sensor to measure a count of vibration detected by the vibration sensor within a pre-determined period. A storage unit in electronic communication with the interrupt counter to store the count of vibration. A controller in electronic communication with the vibration sensor and the storage unit to determine a mapping between the measured count and one of the plurality of device activities. A transmitter in electronic communication with the controller to autonomously transmit an output signal when the controller determines the mapped one of the plurality of device activities.

A crane risk logic apparatus and system and method for use of the same are disclosed. In one embodiment of the crane risk logic apparatus, the crane risk logic apparatus is integral with a crane, such as a mobile or crawler crane or a tower crane, and located in communication with a load moment indicator. The crane risk logic apparatus receives crane data from the load moment indicator and determines various data analytics, such as, lift angle data, allowable capacity data, operator override data, anti-two-block activation data, operational time data, lift cycle count data, lift classification data, slewing speed data, wind speed data, warning message data, error message data, and winch direction and speed data for each crane lift cycle. The data analytics may be utilized to inform a crane operator evaluation or a crane maintenance schedule for the crane, for example.

A crane risk logic apparatus and system and method for use of the same are disclosed. In one embodiment of the crane risk logic apparatus, the crane risk logic apparatus is integral with a crane, such as a mobile or crawler crane or a tower crane, and located in communication with a load moment indicator. The crane risk logic apparatus receives crane data from the load moment indicator and determines various data analytics, such as, lift angle data, allowable capacity data, operator override data, anti-two-block activation data, operational time data, lift cycle count data, lift classification data, slewing speed data, wind speed data, warning message data, error message data, and winch direction and speed data for each crane lift cycle. The data analytics may be utilized to inform a crane operator evaluation or a crane maintenance schedule for the crane, for example.

A smart hose system includes a hose and a clamp monitor secured to the hose and in proximity to a portion of the hose at which a clamp is to be secured. The clamp monitor is configured to responsively interact with the clamp and includes a signal generator configured to provide a first response to an inquiry signal with the clamp being in a first state and provide a second response with the clamp being in a second state.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

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.

Methods, systems, and devices for analyzing vibration data and for identifying and tracking vibration anomalies in industrial machines are described. In various embodiments, the system described herein collects, transforms, and analyzes sensor data from one or more machines, such as industrial machines. The system may identify one or more sensors that are experiencing vibrational anomalies. In various embodiments, the system: collects and analyzes vibration data for a set of one or more vibration-related sensors of one or more industrial machines; determines an occurrence of one or more anomalies based on the vibration data as compared to a threshold; tracks anomalies in collected vibration data for the one or more industrial machines of the facility; generates a report of vibration data for the one or more vibration-related sensors of the facility; and reports industrial machines in the facility that may deviate from a target performance.