Abstract: Systems and methods for distributed weld monitoring using jobs and job sessions are described. In some examples, a distributed monitoring system comprises a central monitoring station in communication with a user device and a local monitoring station. A user may use the user device to enter weld monitoring data that is subsequently received by the central monitoring station and stored in a central data repository. The central data repository may associate the weld monitoring data with welding data received from a welding device, as well as with a job session that is, in turn, associated with a job.

Abstract: Systems and methods for distributed weld monitoring using jobs and job sessions are described. In some examples, a distributed monitoring system comprises a central monitoring station in communication with a user device and a local monitoring station. A user may use the user device to enter weld monitoring data that is subsequently received by the central monitoring station and stored in a central data repository. The central data repository may associate the weld monitoring data with welding data received from a welding device, as well as with a job session that is, in turn, associated with a job.

Abstract: Systems and methods for weld monitoring systems with unknown downtime disabling are described. In some examples, a local monitoring station may perform activity tracking as part of a larger weld monitoring system. A welding device may send welding data to the local monitoring system, which may be used to determine a current activity. A user may also manually input an activity to use as the current activity. If the local monitoring station is unable to determine a current activity from the welding data or user input, then the local monitoring station determines that an unknown downtime has occurred. If the local monitoring station cannot determine a reason for the unknown downtime, the welding device may be disabled until the user provides a reason for the unknown downtime.

Abstract: Systems and methods for weld monitoring systems with unknown downtime disabling are described. In some examples, a local monitoring station may perform activity tracking as part of a larger weld monitoring system. A welding device may send welding data to the local monitoring system, which may be used to determine a current activity. A user may also manually input an activity to use as the current activity. If the local monitoring station is unable to determine a current activity from the welding data or user input, then the local monitoring station determines that an unknown downtime has occurred. If the local monitoring station cannot determine a reason for the unknown downtime, the welding device may be disabled until the user provides a reason for the unknown downtime.

Abstract: Systems and methods for distributed weld monitoring using jobs and job sessions are described. In some examples, a distributed monitoring system comprises a central monitoring station in communication with a user device and a local monitoring station. A user may use the user device to enter weld monitoring data that is subsequently received by the central monitoring station and stored in a central data repository. The central data repository may associate the weld monitoring data with welding data received from a welding device, as well as with a job session that is, in turn, associated with a job.

Abstract: Systems and methods for distributed weld monitoring using jobs and job sessions are described. In some examples, a distributed monitoring system comprises a central monitoring station in communication with a user device and a local monitoring station. A user may use the user device to enter weld monitoring data that is subsequently received by the central monitoring station and stored in a central data repository. The central data repository may associate the weld monitoring data with welding data received from a welding device, as well as with a job session that is, in turn, associated with a job.

Abstract: Systems and methods for distributed weld monitoring using jobs and job sessions are described. In some examples, a distributed monitoring system comprises a central monitoring station in communication with a user device and a local monitoring station. A user may use the user device to enter weld monitoring data that is subsequently received by the central monitoring station and stored in a central data repository. The central data repository may associate the weld monitoring data with welding data received from a welding device, as well as with a job session that is, in turn, associated with a job.

Abstract: Systems and methods for weld monitoring systems with unknown downtime disabling are described. In some examples, a local monitoring station may perform activity tracking as part of a larger weld monitoring system. A welding device may send welding data to the local monitoring system, which may be used to determine a current activity. A user may also manually input an activity to use as the current activity. If the local monitoring station is unable to determine a current activity from the welding data or user input, then the local monitoring station determines that an unknown downtime has occurred. If the local monitoring station cannot determine a reason for the unknown downtime, the welding device may be disabled until the user provides a reason for the unknown downtime.

Abstract: Systems and methods for distributed weld monitoring using jobs and job sessions are described. In some examples, a distributed monitoring system comprises a central monitoring station in communication with a user device and a local monitoring station. A user may use the user device to enter weld monitoring data that is subsequently received by the central monitoring station and stored in a central data repository. The central data repository may associate the weld monitoring data with welding data received from a welding device, as well as with a job session that is, in turn, associated with a job.