IP Library Granted Patent US 10,541,051
Granted Patent B1
US 10,541,051 · App. 16/512,110 · Granted Jan 21, 2020

Battery and workstation monitoring system and display

Inventor: Arlow Farrell (Murfreesboro, TN)
Assignee: Enovate Medical, LLC
G16H40/67G01R31/382G01R31/396G16H40/40
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Quick Facts
Patent No.
US 10,541,051
App. No.
16/512,110
Granted
Jan 21, 2020
Kind
B1
Abstract

An Asset Management System and a method for managing a fleet of assets is provided. The system is capable of determining use states and high-use periods of a fleet of mobile workstations. Use states are determined by sensors resident on mobile workstations, the sensors operable to detect the occurrence of a specified event. The Asset Management System is able to interpret data sent by the sensors and determine a type of use and use state for each mobile workstation based on the data or lack of data sent by the sensors. The Asset Management System is operable to determine periods of high-use across the fleet of mobile workstations. The Asset Management System is also operable to determine a return-on-investment level of each mobile workstation in the fleet and generate a heat map based on those levels.

Claims (73)

1. A mobile workstation comprising:

a cart movable between locations in a facility;

a transceiver configured to wirelessly send to and wirelessly receive data from, via a wireless network, at least one remote server;

a battery disposed on the cart; and

a sensor configured to generate data relating to the battery,

wherein the transceiver wirelessly sends the data relating to the battery to the at least one remote server, and

wherein the at least one remote server performs the steps of

receiving data relating to a fleet of batteries, wherein the data relating to the fleet of batteries includes the data relating to the battery of the mobile workstation,

updating a plurality of battery profiles based on the data relating to the fleet of batteries, wherein each battery profile of the plurality of battery profiles corresponds to a battery in the fleet of batteries, and wherein each battery profile includes data relating to a battery charge level and a battery health level of the corresponding battery, wherein updating the plurality of battery profiles includes calculating a ratio of a first full charge capacity of the battery to a second full charge capacity of the battery, wherein the second full charge capacity includes an average full charge of the battery during a predetermined time period,

displaying, via a user interface, a heat map, wherein the heat map includes a plurality of battery representations displayed on the user interface, wherein each battery representation corresponds to a battery profile of the plurality of battery profiles, and wherein each battery representation is based on data included in the corresponding battery profile.

2. The mobile workstation of claim 1 , wherein each battery representation of the plurality of battery representations includes a visual marking, wherein the visual marking reflects a trait of the battery corresponding to the battery representation.

3. The mobile workstation of claim 2 , wherein:

the trait of the battery includes at least one of

the battery charge level of the corresponding battery,

the battery health level of the corresponding battery, or

a return on investment (ROI) of the corresponding battery; and

the visual marking includes a least one of:

a color,

a shading, or

a density of the visual marking.

4. The mobile workstation of claim 3 , wherein the at least one server further performs the step of arranging, on the heat map, the plurality of battery representations into a plurality of sections based on the visual markings of the plurality of battery representations.

5. The mobile workstation of claim 3 , wherein:

the at least one remote server further performs the step of determining a predictive battery health level for each battery in the fleet of batteries; and

the at least one remote server performing the step of displaying the heat map includes displaying a predictive heat map, wherein the plurality of battery representations of the predictive heat map are based on the predictive health level of each battery in the fleet of batteries.

6. The mobile workstation of claim 1 , wherein, in response to a user interaction with a battery representation of the plurality of battery representations, the at least one server further performs the step of displaying at least one of:

the battery charge level of the corresponding battery;

the battery health level of the corresponding battery; or

a ROI of the corresponding battery.

7. The mobile workstation of claim 1 , wherein, in response to a user interaction with a battery representation of the plurality of battery representations, the at least one server further performs the step of displaying at least one of:

a battery identification of the corresponding battery;

a battery location of the corresponding battery;

a length of life of the corresponding battery;

an estimated run time of the corresponding battery;

a cycle count of the corresponding battery; or

model information of the corresponding battery.

8. The mobile workstation of claim 1 , wherein the at least one server performing the step of updating the plurality of battery profiles further comprises at least one of:

calculating the battery charge level of each battery in the fleet of batteries; or

calculating a ROI of each battery in the fleet of batteries.

9. The mobile workstation of claim 8 , wherein calculating the battery charge level of a battery in the fleet of batteries includes calculating a ratio of a battery charge level of the battery to the first full charge capacity of the battery.

10. The mobile workstation of claim 1 , wherein updating the plurality of battery profiles further comprises calculating a ratio of the first full charge capacity of the battery to a third full charge capacity of the battery, wherein the third full charge capacity includes

a manufacturer's full charge capacity.

11. A mobile workstation comprising:

a cart movable between locations in a facility;

a transceiver configured to wirelessly send to and wirelessly receive data from, via a wireless network, at least one remote server;

a battery disposed on the cart; and

a sensor configured to sense an occurrence of a condition involving a use of the mobile workstation and generate data relating to the occurrence,

wherein the transceiver wirelessly sends the data relating to the occurrence to the at least one remote server, and

wherein the at least one remote server performs the steps of

receiving data relating to occurrences of conditions involving a use of a fleet of mobile workstations, wherein the data relating to the occurrences includes the data relating to the occurrence of the mobile workstation, and wherein receiving the data relating to the occurrences includes receiving, from each battery of a fleet of batteries, a first full charge capacity of the battery,

updating a plurality of asset profiles based on the data relating to the occurrences, wherein each asset profile of the plurality of asset profiles corresponds to at least one of a mobile workstation in the fleet of mobile workstations or a battery in the fleet of batteries, and wherein updating the plurality of asset profiles includes

determining, for each battery in the fleet of batteries, a battery health level for the battery, wherein the battery health level is based on a ratio of the first full charge capacity to a second full charge capacity of the battery,

generating, for each battery in the fleet of batteries, a battery decay curve based on the battery health level of the battery, and

storing the battery decay curve in the asset profile corresponding to the battery

generating, based on the plurality of asset profiles, a usage report, wherein the usage report includes a plurality of mobile workstation usage statistics of the fleet of mobile workstations, wherein the usage report includes a predictive calendar for the fleet of batteries, wherein the predictive calendar includes a plurality of estimated dates by which the fleet of batteries reach a threshold battery health level, and wherein the plurality of estimated dates are based on the plurality of battery decay curves of the fleet of batteries, and

displaying, via a user interface, the usage report.

12. The mobile workstation of claim 11 , wherein:

the at least one remote server performing the step of receiving the data relating to the occurrences includes receiving, from the mobile workstation, an updated first full charge capacity of the battery of the mobile workstation; and

the at least one remote server further performs the step of updating the battery decay curve of the asset profile that corresponds to the battery, wherein the updating the battery decay curve is based on the updated first full charge capacity.

13. The mobile workstation of claim 11 , wherein the at least one remote server performing the step of generating the usage report comprises generating a first workstation utilization report, wherein the first workstation utilization report includes:

a plurality of time intervals; and

a number corresponding to the mobile workstations in the fleet of mobile workstations utilized during each time interval of the plurality of time intervals.

14. The mobile workstation of claim 11 , wherein the at least one remote server performing the step of generating the usage report comprises generating a second workstation utilization report, wherein the second workstation utilization report includes:

a plurality of mobile workstation identifiers of the mobile workstations of the fleet of mobile workstations; and

a utilization time for each mobile workstation of the fleet of mobile workstations.

15. The mobile workstation of claim 14 , wherein the second workstation utilization report further includes a location for each mobile workstation of the fleet of mobile workstations.

16. The mobile workstation of claim 11 , wherein:

the at least one remote server further performs the step of selecting a subset of the mobile workstations of the fleet of mobile workstations based on an inefficiency determination for each mobile workstation in the subset of mobile workstations, wherein the inefficiency determination is based on an average session start battery charge and an average session end battery charge of each mobile workstation in the subset of the mobile workstations; and

the at least one remote server performing the step of generating the usage report includes generating a workstation inefficiency report, wherein the workstation inefficiency report includes a plurality of mobile workstation identifiers of the subset of mobile workstations.

17. The mobile workstation of claim 16 , wherein the workstation inefficiency report further includes the average session start battery charge and the average session end battery charge of each mobile workstation in the subset of the mobile workstations.

18. The mobile workstation of claim 11 , wherein the at least one remote server performing the step of generating the usage report comprises generating an asset drift report, wherein the asset drift report includes:

a plurality of mobile workstation identifiers;

an assigned location for each mobile workstation identifier of the plurality of mobile workstation identifiers; and

a reporting location for each mobile workstation identifier of the plurality of mobile workstation identifiers, wherein the assigned location and the reporting location do not match.

Assignments (5)
IP SUPPLEMENT Recorded Feb 6, 2024
From: ENOVATE MEDICAL, LLC
To: PNC BANK, NATIONAL ASSOCIATION
Reel/Frame 066494/0585 →
RELEASE OF SECURITY INTEREST Recorded Oct 31, 2023
From: ALLY BANK
To: ENOVATE MEDICAL, LLC
Reel/Frame 065407/0598 →
SECURITY INTEREST Recorded Apr 20, 2020
From: ENOVATE MEDICAL, LLC
To: ALLY BANK
Reel/Frame 052442/0654 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 31, 2020
From: DALEN, MARK
To: ENOVATE MEDICAL, LLC
Reel/Frame 051686/0953 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 6, 2019
From: FARRELL, ARLOW
To: ENOVATE MEDICAL, LLC
Reel/Frame 049966/0854 →
Continuity (3)
Continuation 15898583 · Feb 17, 2018
Provisional Application 62543549 · Aug 10, 2017
Provisional Application 62628623 · Feb 9, 2018
Cited By (4)
US 12,379,707 US 12,548,808 US 12,676,234 US 12,687,588