System and interfaces for managing workplace events
A system and associated interfaces are provided that permit the monitoring of workers within the workplace environment. In one aspect, a monitor having various sensing capabilities may be assigned to a monitored subject that records various parameters that are personal to the worker. For instance, it is appreciated that there may be sensor that can be attached to the monitored subject that is adapted to monitor certain parameters associated with the worker's environment. For instance, a sensor assigned to the monitored subject may be capable of determining the location of the subject, along with motion, impacts, altitude, and other environmental parameters that could affect the health or other condition of the worker.
1. A wearable sensor device, comprising:
an accelerometer configured to generate accelerometer data; and
a processor configured to:
initiate a programming mode of the wearable sensor device in response to determining, based on the accelerometer data, that the wearable sensor device, being programmed with a plurality of wearable sensor devices, is placed in a particular orientation for simultaneous programming of the plurality of wearable sensor devices; and
subsequent to the wearable sensor device exiting the programming mode, detect, based on the accelerometer data, at least one workplace event occurring to a monitored subject wearing the wearable sensor device, wherein the at least one workplace event is selected from a group comprising a fall event, a jump event, and a slip and fall event.
2. The wearable sensor device of claim 1 , wherein the processor is further configured to:
subsequent to initiating the programming mode of the wearable sensor device, obtain a signal from a programming device separate from the plurality of wearable sensor devices.
3. The wearable sensor device of claim 2 , wherein the signal from the programming device includes one or more predetermined parameters associated with a specific worksite.
4. The wearable sensor device of claim 1 , wherein the accelerometer data comprises a first portion corresponding to a first time period and a second portion corresponding to a second time period subsequent to the first time period.
5. The wearable sensor device of claim 4 , wherein the processor is further configured to:
determine, based on at least the first portion, whether the monitored subject experienced an acceleration in an upward direction; and
determine, based on at least the second portion, whether the monitored subject experienced an acceleration in a downward direction greater than a threshold amount and/or a rotation in a forward direction or a backward direction.
6. The wearable sensor device of claim 5 , wherein the processor is further configured to:
determine that the monitored subject experienced a fall event based on, during the second time period, (i) the acceleration being in the downward direction greater than the threshold amount and (ii) the rotation being in the forward direction.
7. The wearable sensor device of claim 5 , wherein the processor is further configured to:
determine that the monitored subject experienced a jump event based on, during the first time period, the acceleration being in the upward direction.
8. The wearable sensor device of claim 5 , wherein the processor is further configured to:
determine that the monitored subject experienced a slip and fall event based on, during the second time period, (i) the acceleration being in the downward direction greater than the threshold amount and (ii) the rotation being in the backward direction.
9. A method for execution on a processor included in a wearable sensor device, comprising:
initiating a programming mode of the wearable sensor device in response to determining, based on accelerometer data received from an accelerometer included in the wearable sensor device, that the wearable sensor device, being programmed with a plurality of wearable sensor devices, is placed in a particular orientation for simultaneous programming of the plurality of wearable sensor devices; and
subsequent to the wearable sensor device exiting the programming mode, detecting, based on the accelerometer data, at least one workplace event occurring to a monitored subject wearing the wearable sensor device, wherein the at least one workplace event is selected from a group comprising a fall event, a jump event, and a slip and fall event.
10. The method of claim 9 , further comprising:
subsequent to initiating the programming mode of the wearable sensor device, obtaining a signal from a programming device separate from the plurality of wearable sensor devices.
11. The method of claim 10 , wherein the signal from the programming device includes one or more predetermined parameters associated with a specific worksite.
12. The method of claim 9 , wherein the accelerometer data comprises a first portion corresponding to a first time period and a second portion corresponding to a second time period subsequent to the first time period.
13. The method of claim 12 , further comprising:
determining, based on at least the first portion, whether the monitored subject experienced an acceleration in an upward direction; and
determining, based on at least the second portion, whether the monitored subject experienced an acceleration in a downward direction greater than a threshold amount and/or a rotation in a forward direction or a backward direction.
14. The method of claim 13 , further comprising:
determining that the monitored subject experienced a fall event based on, during the second time period, (i) the acceleration being in the downward direction greater than the threshold amount and (ii) the rotation being in the forward direction.
15. The method of claim 13 , further comprising:
determining that the monitored subject experienced a jump event based on, during the first time period, the acceleration being in the upward direction.
16. The method of claim 13 , further comprising:
determining that the monitored subject experienced a slip and fall event based on, during the second time period, (i) the acceleration being in the downward direction greater than the threshold amount and (ii) the rotation being in the backward direction.
17. A communication system, comprising:
a plurality of communication nodes configured in a wireless mesh network at a worksite, the plurality of communication nodes including a plurality of router nodes; and
a plurality of wearable sensor devices in communication with one or more of the plurality of router nodes,
wherein at least one wearable sensor device is programmed in response to determining that the at least one wearable sensor device, being programmed with the plurality of wearable sensor devices, is placed in a particular orientation for simultaneous programming of the plurality of wearable sensor devices, and
wherein, subsequent to being programmed, the at least one wearable sensor device communicates event data for at least one workplace event over the wireless mesh network to a management system by communicating with one or more of the plurality of router nodes which relay the event data to the management system, the at least one wearable sensor device being worn by a monitored subject who experienced the at least one workplace event selected from a group comprising a fall event, a jump event, and a slip and fall event.
18. The communication system of claim 17 , wherein at least one router node provides its location data to the management system for determining a location of the at least one workplace event.
19. The communication system of claim 17 , wherein the plurality of router nodes are positioned at fixed locations within the worksite, and wherein location data for one or more of the plurality of router nodes are used by the management system to determine the location of the at least one workplace event.
20. The communication system of claim 17 , further comprising a check-in system that assigns the at least one wearable sensor device to the monitored subject, the check-in system including a reader that is adapted to scan an identifier associated with the at least one wearable sensor device, and to create a record of an association between the at least one wearable sensor device and the monitored subject.