System and method for condition based monitoring and maintenance of an automation track
Systems and methods for use in an in vitro diagnostics setting incorporating existing or additional sensors in an automation system to assess the health and maintenance status of the automation system are disclosed. Such systems include any of a variety of sensors, such as Hall Effect sensors, temperature probes/thermocouples, ohm meters, volt meters, etc., which are in communication with a local or preferably remote monitoring station that can alert a user or maintenance personnel of needed service.
1. A maintenance monitoring system for an in-vitro diagnostics (IVD) system, comprising:
an automation system comprising:
a track along which a plurality of carriers traverse, each carrier having one or more magnets in a base of each carrier, and
a plurality of coil boards mounted to the track, each board comprising one or more magnetic coils arranged along the longitudinal direction of the track and configured to selectively engage the one or more magnets in the base of each carrier, and at least one sensor;
at least one controller coupled to each of the plurality of coil boards, the controller configured to selectively activate the magnetic coils of each coil board and to collect sensor data from each sensor of each coil board; and
at least one processor configured to store the sensor data in memory,
analyze the sensor data to identify any coil boards that are performing outside normal parameters from the sensor data, and
alert an operator automatically if any such identified coil boards.
2. The maintenance monitoring system of claim 1 , wherein the at least one processor alerts the operator by displaying data comprising is any of motor status, coil board temperature, and magnetic field strength.
3. The maintenance monitoring system of claim 1 , wherein the at least one processor is separated from the controller by an Ethernet network.
4. The maintenance monitoring system of claim 1 , wherein the at least one sensor is a Hall Effect sensor.
5. The maintenance monitoring system of claim 1 , wherein the at least one processor is separated from the controller by the Internet.
6. The maintenance monitoring system of claim 1 , wherein the at least one processor is further configured to request maintenance across a network if any coil boards are determined to be performing outside normal parameters.
7. The maintenance monitoring system of claim 1 , wherein the at least one processor is part of a console with a user interface used by an operator of the IVD system.
8. The maintenance monitoring system of claim 1 , further comprising a second independent automation system comprising a second track and a second plurality of coil boards that transmit sensor data to the at least one processor over a network.
9. The maintenance monitoring system of claim 1 , further comprising a second independent automation system comprising a second track and a second plurality of coil boards that transmit sensor data to the central processor over a network.
10. A maintenance monitoring system for an in-vitro diagnostics (IVD) system, comprising:
an automation system comprising:
a track along which a plurality of carriers traverse, each carrier having one or more magnets in a base of each carrier, and
a plurality of coil boards mounted to the track, each board comprising a plurality of magnetic coils configured to selectively engage the one or more magnets in the base of each carrier, and at least one sensor;
a plurality of controllers, each coupled to a subset of the plurality of coil boards, the controllers each configured to control the magnetic coils of each coil board in the subset and to collect sensor data from each sensor of each coil board and to transmit the sensor data;
a central processor configured to receive, store, and analyze the sensor data to identify any coil boards that are performing outside normal parameters from the sensor data; and
a user interface configured to alert an operator automatically if any coil boards have been identified.
11. The maintenance monitoring system of claim 10 , wherein the central processor alerts the operator by displaying data comprising is any of motor status, coil board temperature, and magnetic field strength.
12. The maintenance monitoring system of claim 10 , wherein the central processor is adapted for monitoring two or more IVD systems.
13. The maintenance monitoring system of claim 10 , wherein the at least one sensor is a Hall Effect sensor.
14. The maintenance monitoring system of claim 10 , wherein the at least one central processor is separated from the plurality of controllers by the Internet.
15. The maintenance monitoring system of claim 10 , wherein the central processor is further configured to request maintenance across a network if any coil boards are determined to be performing outside normal parameters.
16. The maintenance monitoring system of claim 10 , wherein the central processor is part of a console with a user interface used by an operator of the IVD system.
17. A method for monitoring the health of a vessel mover system in an IVD system comprising:
sequentially driving coils in a plurality of coil boards mounted to an automation track such that the coils propel patient sample carriers;
collecting data from a plurality of sensors on each coil board;
transmitting the data to a monitoring station processor configured to receive, store, and analyze data from the sensors;
analyzing the collected data to identify any coil boards that are performing outside normal parameters; and
alerting an operator automatically if any coil boards have been identified.
18. The method of claim 17 , wherein the step of alerting the operator comprises displaying data comprising is any of motor status, coil board temperature, and magnetic field strength.
19. The method of claim 17 , wherein the step of alerting the operator comprises requesting maintenance by sending a message to a maintenance facility over the Internet.
20. The maintenance monitoring system of claim 17 , wherein the plurality of sensors comprise at least one Hall effect sensor.