A safety system for a load carrying machine including: a controller, a location sensing arrangement in electronic communication with the processor, the location sensing arrangement configured to determine a location parameter of a load, a monitoring arrangement, the controller configured to receive the location parameter and determine a projected area of the load and control the monitoring arrangement to focus on the projected area to monitor the projected area.

A system and method for indicating to an operator a forward direction of travel of a machine having a ground-engaging traveling device, a superstructure rotatably mounted to the traveling device and an operator station defining an operator point of view are provided. The system includes a system controller, a rotation-sensing system connected to the system controller for determining a rotational relationship of the superstructure with respect to the traveling device, and a singaler mounted to the operator station and connected to the system controller for indicating to the operator the forward direction of travel of the machine in accordance with the operator point of view. The method includes receiving a rotational relationship of the superstructure with respect to the traveling device, and indicating to the operator the forward travel direction of the machine in accordance with the operator point of view.

An apparatus for managing a construction site comprises a memory storing sensor data received from a plurality of capture devices associated with the construction site. The memory stores one or more rules or thresholds. A processor is configured to process the sensor data by evaluating at least one of the rules, or by comparing a prediction computed from the sensor data with at least one of the thresholds. The processor is configured, in response to evaluation of a rule, or in response to comparison of a prediction with a threshold, to trigger an alert.

Provided is a periphery monitoring device for a work machine that displays an overhead image of the work machine and surroundings of the work machine, the device including: a detector that detects a distance to a surrounding object with respect to the work machine; and a display that displays the object in the overhead image with the distance between the work machine and the object reflected, in which a display range of the display for the object is a range obtained by extracting a portion of a detection range of the detector.

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 load verification system includes a first sensor configured to determine an identifier associated with a target object, a second sensor configured to determine a load borne by a machine handling the target object, and a controller configured to determine a load threshold based on the identifier, compare the load with the load threshold to determine whether the load threshold is exceeded, and, on condition that the load threshold is exceeded, selectively restrict movement of the machine.

A hoist lifting system having planning and monitoring of components. The system monitors one or more components and may have a processing structure and memory storing instructions to configure the processing structure to: receive hoist machine data; determine a rotation speed of a bearing, a travel speed of a rope, a load on the bearing, a friction in the at least one bearing based on the hoist machine data; and store the rotation speed, the travel speed, the load, and the friction in a maintenance database in memory. The hoist lifting system may have the processing structure determine a wear of one or more components.

A work machine 10 includes: a load detection unit 22a that detects a load on an operation mechanism 100; information output devices 43, 44, and 41a that output at least one of an image, a sound, and a vibration to an operator; and a control unit 47a that controls, according to the magnitude of a load detected by the load detection unit 22a, one or more of the level of at least one of the color intensity, the brightness, and the transparency of an image output by the information output device 44, at least one of the intensity and the level of frequency of a sound output by the information output device 43, and at least one of the intensity and the level of frequency of a vibration output by the information output device 41a.

A heavy equipment hazard warning apparatus for a piece of heavy equipment at a site and a system and method for use of the same are disclosed. In one embodiment of the heavy equipment hazard warning apparatus, the location of the heavy equipment is monitored by the heavy equipment warning apparatus and analyzed with reference to a hazard safety site plan of the site that identifies a hazard such as existing utilities, for example. An alert notification is initialized in response to the heavy equipment encroaching on a hazard geofence around the hazard. A shutdown notification is initialized in response to the heavy equipment being proximate to the hazard.

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.