Worksite inefficiency identification
Systems and methods to identify inefficiencies in a worksite and generate recommended actions to improve the inefficiencies are provided herein. The inefficiencies may be identified by analyzing equipment data from mobile equipment and fixed equipment associated with the worksite. The equipment data may be used to generate one or more routes through the worksite. The equipment data and one or more routes may be used to generate a cycle time for the worksite. The equipment data, one or more routes, and cycle time may be used to identify an inefficiency in the worksite, and the identified inefficiency may be used to generate a recommended action to improve and thus remedy the inefficiency.
1. A method comprising:
receiving, by a worksite inefficiency identification server, first equipment data from each of a plurality of mobile equipment associated with a worksite;
receiving, by the worksite inefficiency identification server, second equipment data from at least one of a plurality of fixed equipment associated with the worksite;
generating, by the worksite inefficiency identification server and based on at least the first equipment data and the second equipment data, a representation of a current route for each of the plurality of mobile equipment;
generating, by the worksite inefficiency identification server—based on the representation of the current route, the first equipment data, and the second equipment data—a cycle time for each of the plurality of mobile equipment;
identifying, by the worksite inefficiency identification server-based on the representation of the current route, the cycle time, the first equipment data, and the second equipment data—at least one inefficient aspect of a route, wherein the at least one inefficient aspect relates to one or more of:
the cycle time,
a wait time of at least one of the mobile equipment of the plurality of mobile equipment,
operation of at least one of the mobile equipment of the plurality of mobile equipment,
a wait time of at least one of the fixed equipment included in the plurality of fixed equipment, and
operation of at the least one fixed equipment of the plurality of fixed equipment;
generating, by the worksite inefficiency identification server and based on the at least one inefficient aspect, one of more recommended actions to remedy the inefficient aspect;
identifying, by the worksite inefficiency identification server and based on the one or more recommended actions, an operating parameter of one or more of: at least one of the mobile equipment of the plurality of mobile equipment and the at least one fixed equipment of the plurality of fixed equipment; and
causing, by the worksite inefficiency identification server and based on the one or more recommended actions, the identified operating parameter to change, including:
determining, by the worksite inefficiency identification server, at least one equipment of the plurality of mobile equipment or the plurality of fixed equipment which is associated with the identified operating parameter; and
transmitting, by the worksite inefficiency identification server, a message to the at least one equipment to cause the at least one equipment to change the identified operating parameter of the at least one equipment.
2. The method of claim 1 , wherein identifying the at least one inefficient aspect of the route further comprises:
applying, by the worksite inefficiency identification server, the representation of the current route, the first equipment data, the second equipment data, and the cycle time to a machine learning model trained to identify at least one inefficient aspect of the route based on the current route, the first equipment data, the second equipment data, and the cycle time; and
obtaining, by the worksite inefficiency identification server from the machine learning model, the identified at least one inefficient aspect of the route.
3. The method of claim 1 , wherein generating the one or more recommended actions further comprises:
applying, by the worksite inefficiency identification server, the identified at least one inefficient aspect to a machine learning model trained to generate one or more recommended actions based on at least one identified inefficient aspect; and
obtaining, by the worksite inefficiency identification server from the machine learning model, the recommended one or more actions.
4. The method of claim 1 , wherein generating the representation of the current route further comprises:
obtaining, by the worksite inefficiency identification server, first location data from the first equipment data;
obtaining, by the worksite inefficiency identification server, second location data from the second equipment data; and
generating, by the worksite inefficiency identification server, the representation of a current route based on the first location data and the second location data.
5. The method of claim 4 , wherein generating the representation of the current route further comprises:
identifying, by the worksite inefficiency identification server, one or more waypoints along the current route based on the representation of the current route, the first equipment data, and the second equipment data.
6. The method of claim 1 , wherein identifying the at least one inefficient aspect of the route further comprises:
identifying, by the worksite inefficiency identification server, at least one inefficient aspect of the route and the plurality of mobile equipment.
7. The method of claim 1 , wherein identifying the at least one inefficient aspect of the route further comprises:
identifying, by the worksite inefficiency identification server, at least one inefficient aspect of the route and the plurality of fixed equipment.
8. The method of claim 1 , further comprising:
displaying, via a user interface, the identified at least one inefficient aspect and the one or more recommended actions to remedy the inefficient aspect.