Submerged, self-sustained waterborne data center facility

Abstract

A self-sustained, submerged waterborne data center facility that utilizes a closed-looped heat management system that is both energy-efficient and cost-effective is disclosed. Embodiments employ a closed-looped, energy efficient, cost effective thermal management system that leverages natural resources to control thermal conditions and reduce the overall requirement for cooling power.

I/We claim: 
     
         1 . A spectral deficiency-driven control system in a plant growth automation, said system comprising:
 a facilities resource management system;   a processor;   a memory element coupled to the processor;   encoded instructions;   wherein the system is further configured to:
 over a network, receive at least one of a facility systems data; 
 based on the received facility systems data, control an action via the facilities resource management system; 
 wherein the received facility systems data is gathered via at least one facility sensor configured to detect facility- incoming and, or facility-generated light spectra and a sensor manager for determining a deficiency in light spectra; and 
 wherein the actions controlled by the facilities resource management system is augmenting at least one of a spectral output of at least one light-emitting diode (LED) channel from at least one LED light source; light brightness; and, or a light height adjustment, based on said deficiency. 
   
     
     
         2 . The system of  claim 1 , wherein the facilities resource management system comprises at least one of at least one facility sensor configured for detecting facility-incoming and, or facility-generated light spectra; at least one sensor manager for aggregating light spectra data from the at least one of the facility sensors; a processor for detecting a threshold-grade light spectra deviation from a reference light spectra profile; and a controller for augmenting at least one of a spectral output of at least one light-emitting diode (LED) channel from at least one LED light source; light brightness; real light height adjustment; and, or a virtual light height adjustment based on a presence and amount of the threshold-grade light spectra deviation from the reference light spectra profile. 
     
     
         3 . The system of  claim 1 , wherein the at least one facility sensor is at least one of a spectrometer, spectral radiometer, and, or a photo sensor configured for detecting a facility-incoming and, or a facility-generated light spectra; operably communicative with at least one of a sensor manager and, or a processor for detecting a threshold-grade light spectra deviation from a reference light spectra profile; and capable of augmenting at least one of a controller-mediated function based on said deviation. 
     
     
         4 . The system of  claim 3 , wherein the at least one facility sensor is disposed on at least one of an exterior or interior of a plant growth facility; top of a foliage canopy; top of a foliage soil bed; on any one of a side of a foliage container unit; on any one of a side of a rack of foliage container units; on any surface of a spectrally-tuned light fixture; and, or on any fixture delivering any one of a controller-mediated output. 
     
     
         5 . The system of  claim 2 , wherein the facilities resource management system, based on the presence and amount of the threshold-grade light spectra deviation from the reference light spectra profile, vary a spectral output of at least one of a plurality of light emitting diode (LED) spectral channels from at least a single LED light source or from an array of LED light sources. 
     
     
         6 . The system of  claim 2 , wherein the facilities resource management system, based on the presence and amount of the threshold-grade light spectra deviation from the reference light spectra profile, activate a pulley control to tensionally control the line to adjust the height of at least one LED light sources from a top of at least one foliage canopy. 
     
     
         7 . The system of  claim 2 , wherein the facilities resource management system, based on the presence and amount of the threshold-grade light spectra deviation from the reference light spectra profile, vary a light intensity from at least one LED light source to a top, side, and, or bottom of at least one foliage. 
     
     
         8 . The system of  claim 2 , wherein the facilities resource management system, based on the presence and amount of the threshold-grade light spectra deviation from the reference light spectra profile, vary a light beam path, thereby varying a virtual light height adjustment between at least one LED light source and a top of at least one foliage by modulating a degree of movement or activity from at least one of a pointed source or linear array source of LED light. 
     
     
         9 . The system of  claim 3 , wherein any one of the controller-mediated function is operable with at least one third party interface via an Application Program Interface (API) gateway. 
     
     
         10 . The system of  claim 3 , wherein any one of the controller-mediated function action triggers a second set of actions controlled by a “if this, then that” script manager. 
     
     
         11 . The system of  claim 1 , wherein the deficiency in light spectra is determined by comparing actual light spectra at a plant canopy-level against a reference light spectra profile by the sensor manager. 
     
     
         12 . The system of  claim 2 , wherein the reference light spectra profile comprises light spectra data from sensors disposed on a top and exterior of a facility, wherein incoming light is unimpeded by structural or atmospheric impediments. 
     
     
         13 . The system of  claim 12 , wherein the reference light spectra profile comprises an aggregate of light spectra data of gathered incoming light unimpeded by structural or atmospheric impediments, over a period of time. 
     
     
         14 . The system of  claim 1 , wherein the determined deficiency in light spectra is by comparing an actual spectra profile against a probabilistic-modeled reference light spectra profile to determine a threshold-grade discrepancy. 
     
     
         15 . A spectral deficiency-driven control system in a plant growth automation, said system comprising:
 at least one sensor configured to detect any number of segments of a light spectrum of facility-incoming and, or generated light;   at least one sensor manager capable of detecting a deficiency within any number of segments of light spectrum of the detected facility-incoming and, or generated light by comparing an actual light spectra profile with a reference light spectra profile and determining a threshold-grade deviation;   at least one controller for actuating and, or managing at least one of a plant growth automation system output based on said threshold-grade deviation; and   wherein the controller is operably coupled to the sensor manager for causing any one of, or combination of, control, synchronization, coordination, and, or calibration of plant growth automaton systems, thereby enabling adaptive actuation or management of plant growth automation system outputs based on the determined threshold-grade deviation.   
     
     
         16 . The system of  claim 15 , wherein the plant growth automation system output actuated and, or managed by the controller is at least one of a spectral output of at least one light-emitting diode (LED) channel from at least one LED light source; light brightness; and, or a light height adjustment, based on the sensor manager- determined threshold-grade deviation. 
     
     
         17 . A spectral deficiency-driven control system in a plant growth automation, said system comprising:
 over a network, receive at least one of a facility systems data by the at least one sensor;   based on the received facility systems data, determine a threshold-grade deviation between the received facility systems data and an updated reference facility systems data profile by a sensor manager; and   based on the threshold-grade deviation, enable adaptive actuation or management of any one of, or combination of, plant growth automation system outputs by a controller.   
     
     
         18 . The system of  claim 17 , wherein the facility systems data is at least one of any number of wavelength segments of a light spectrum of incoming light detected by at least one light spectra sensor and, or a detected deficiency within any number of wavelength segments of light spectrum by comparing an actual light spectra profile with a reference light spectra profile and determining a threshold-grade deviation for causing an operational state change or output. 
     
     
         19 . The system of  claim 17 , wherein the plant growth automation system output actuated and, or managed by the controller is at least one of a spectral output of at least one light-emitting diode (LED) channel from at least one LED light source; light brightness; and, or a light height adjustment, based on a sensor manager- determined threshold-grade deviation. 
     
     
         20 . The system of  claim 17 , wherein the sensor manager is operably coupled to a controller for causing any one of, or combination of, control, synchronization, coordination, and, or calibration of plant growth automaton systems, thereby enabling adaptive actuation or management of plant growth automation system outputs based on the determined threshold-grade deviation. 
     
     
         21 . A spectral deficiency-driven control device in a plant growth automation, said device comprising:
 at least one integrated sensor portion;   at least one integrated sensor manager;   a processor;   a memory element coupled to the processor;   encoded instructions;   wherein the device is further configured to:
 receive at least one of a facility systems data by the at least one integrated sensor portion; 
 based on the received facility systems data, the sensor manager determines a threshold-grade deviation between the received facility systems data and an updated reference facility systems data profile; and 
 based on the threshold-grade deviation, cause any one of, or combination of, control, synchronization, coordination, and, or calibration of any number of plant growth automaton system outputs, thereby enabling adaptive actuation or management of plant growth automation system outputs. 
   
     
     
         22 . The device of  claim 21 , wherein the received facility systems data is at least one of any number of wavelength segments of a light spectrum of incoming light detected by at least one light spectra sensor and, or a detected deficiency within any number of wavelength segments of light spectrum by comparing an actual light spectra profile with a reference light spectra profile and determining a threshold-grade deviation for causing an operational state change. 
     
     
         23 . The device of  claim 21 , wherein the plant growth automation system outputs are at least one of varying spectral output of at least one light emitting diode (LED) channel from at least one LED light source, varying a light brightness, varying a real height from at least one LED light source and a top of a foliage, and, or varying a light beam path from at least one LED light source and a top of a foliage for causing a virtual foliage height adjustment. 
     
     
         24 . The device of  claim 21 , wherein the facility systems data comprises actual light spectra at a plant canopy-level and the deviation in light spectra is determined by comparing the actual light spectra against a reference light spectra profile by the sensor manager. 
     
     
         25 . The system of  claim 21 , wherein the reference facility systems data profile comprises light spectra data from at least one sensor disposed on a top and exterior of a facility, wherein the incoming light sensed is unimpeded by structural or atmospheric impediments. 
     
     
         26 . The system of  claim 21 , wherein the reference facility systems data profile comprises an aggregate of light spectra data of sensed incoming light unimpeded by structural or atmospheric impediments, over a period of time. 
     
     
         27 . The device of  claim 24 , wherein the actual light spectra at the plant canopy-level is detected by integrated sensors configured for measuring light spectra reflected from the top of the canopy. 
     
     
         28 . The system of  claim 21 , wherein the deviation in light spectra is by comparing an actual facility systems data against a probabilistic-modeled reference facility systems data profile to determine a threshold-grade discrepancy. 
     
     
         29 . A spectral deficiency-driven method, said method comprising the steps of:
 receiving at least one of a facility systems data over a network; and   controlling an action via any one of, or combination of a facilities resource management system based on the facilities systems data, wherein the actions controlled are at least one of varying spectral output of at least one light-emitting diode (LED) channel from at least one LED light source, light brightness, real light height, and, or a light-beam path for causing a virtual foliage height adjustment.   
     
     
         30 . The method of  claim 28 , wherein the facility systems data are at least one of of any number of wavelength segments of a light spectrum of incoming light detected by at least one light spectra sensor and, or a detected deficiency within any number of the wavelength segments of light spectrum by comparing a real-time light spectra profile with a reference light spectra profile and determining a threshold-grade deviation for causing an operational state change of a plant growth automation.