Battery and workstation monitoring system and display
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.
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; and
a sensor configured to generate data relating to the mobile workstation based on a signal detected by the sensor,
wherein the transceiver wirelessly sends the data relating to the mobile workstation to the remote server, and
wherein the remote server performs the steps of:
determining a use state of the mobile workstation based on the data relating to the mobile workstation;
updating the use state of the workstation to in-use based on the signal;
determining, based on the data relating to the mobile workstation over a period of time, that the mobile workstation requires maintenance by determining that an amount of time the use state of the workstation is in-use is less than a threshold amount; and
providing, to a user interface, a maintenance recommendation for the mobile workstation.
2 . The mobile workstation of claim 1 , wherein the sensor includes an accelerometer, and wherein the signal corresponds to acceleration of the mobile workstation.
3 . The mobile workstation of claim 1 , wherein the sensor includes an NFC reader, and wherein the signal corresponds to an operational proximity between the sensor and an authorized NFC tag.
4 . The mobile workstation of claim 1 , wherein the sensor includes a current back draw sensor, and the signal is a current back draw signal.
5 . The mobile workstation of claim 4 ,
wherein the remote server further performs the step of determining, based on the data relating to the mobile workstation, an average current back draw over a predefined time period, and
wherein determining that the battery requires maintenance includes determining that the current back draw is less than a predefined percentage of the average current back draw.
6 . The mobile workstation of claim 1 ,
wherein the remote server further performs the steps of:
receiving data relating to a fleet of mobile workstations, wherein the data relating to the fleet of mobile workstations includes the data relating to the mobile workstation;
determining, over a predefined time period, use states of the fleet of mobile workstations based on the data relating to the fleet of mobile workstations; and
determining an average amount of time over the predefined time period, that the use state of each mobile workstation of the fleet of mobile workstations is in-use, and
wherein the threshold amount is a predefined percentage of the average amount of time.
7 . The mobile workstation of claim 1 , wherein the sensor includes at least one of a temperature sensor, an inertial measurement unit, an accelerometer, a gyroscope, a laser scanning sensor, an air pressure sensor, a humidity sensor, a magnetometer, a voltmeter, an ammeter, a thermometer, a proximity sensor, an NFC reader, an RFID reader, an ambient light sensor, an air quality sensor, a radioactivity sensor, a radiation sensor, a lighting sensor, a magnetic field sensor, a worksurface height sensor, a height adjustment cycle sensor, a vibration sensor, a power on/off state sensor, a voltage sensor, a current sensor, a battery cycle sensor, a contact sensor, a barometric pressure sensor, a fault status sensor, a wireless networking operational sensor, an odometer, a decibel meter, an oxygen sensor, a motion sensor, a pressure sensor, and an ultrasonic sensor.
8 . A non-transitory computer readable medium having stored therein instructions that, when executed by a computing device, cause the computing device to perform functions comprising:
receiving, from a sensor residing on a mobile workstation, data relating to the mobile workstation based on a signal detected by the sensor;
determining a use state of the mobile workstation based on the data relating to the mobile workstation;
updating the use state of the workstation to in-use based on the signal;
determining, based on the data relating to the mobile workstation over a period of time, that the mobile workstation requires maintenance by determining that an amount of time that use state of the workstation is in-use is less than a threshold amount; and
providing, to a user interface, a maintenance recommendation for the mobile workstation.
9 . The non-transitory computer readable medium of claim 8 , wherein the sensor includes an accelerometer, and wherein the signal corresponds to acceleration of the mobile workstation.
10 . The non-transitory computer readable medium of claim 8 , wherein the sensor includes an NFC reader, and wherein the signal corresponds to an operational proximity between the sensor and an authorized NFC tag.
11 . The non-transitory computer readable medium of claim 8 , wherein the sensor includes a current back draw sensor, and the signal is a current back draw signal.
12 . The non-transitory computer readable medium of claim 11 , the functions further comprising determining, based on the data relating to the mobile workstation, an average current back draw over a predefined time period, and
wherein determining that the mobile workstation requires maintenance includes determining that the current back draw is less than a predefined percentage of the average current back draw.
13 . The non-transitory computer readable medium of claim of claim 8 , the functions further comprising:
receiving data relating to a fleet of mobile workstations, wherein the data relating to the fleet of mobile workstations includes the data relating to the mobile workstation;
determining, over a defined timeline, use states of the fleet of mobile workstations based on the data relating to the fleet of mobile workstations; and
determining an average amount of time over the predefined time period, that the use state of each mobile workstation of the fleet of mobile workstations is in-use,
wherein the threshold amount is a predefined percentage of the average amount of time.
14 . A method of managing a mobile workstation, comprising:
sensing, by a sensor residing on a mobile workstation, data relating to the mobile workstation based on a signal detected by the sensor;
transmitting, by a transceiver residing on the mobile workstation and operably coupled to the sensor, to a remote server the data relating to the mobile workstation;
determining, by the remote server, a use state of the mobile workstation based on the data relating to the mobile workstation;
updating, by the remote server, the use state of the workstation to in-use based on the signal,
determining, by the remote server, based on the data relating to the mobile workstation over a period of time, that the battery requires maintenance by determining that an amount of time that the use state of the workstation is in-use is less than a threshold amount; and
providing, by the remote server, to a user interface, a maintenance recommendation for the mobile workstation.
15 . The method of claim 14 , wherein the sensor includes an accelerometer, and wherein the signal corresponds to acceleration of the mobile workstation.
16 . The method of claim 14 , wherein the sensor includes a current back draw sensor, and the signal is a current back draw signal.
17 . The method of claim 16 , further comprising determining, by the remote server, based on the data relating to the mobile workstation, an average current back draw over a predefined time period,
wherein determining that the mobile workstation requires maintenance includes determining that the current back draw is less than a predefined percentage of the average current back draw.