1. A system that facilitates monitoring a condition of a living body, comprising:
an engineered organism that produces a biomaterial containing encoded information;
an interface component that facilitates receipt of or delivery of the biomaterial; and
an operation component that analyzes the biomaterial using a data standard, the data standard associating each of a set of stimuli with a corresponding each of a set of biomaterial subunit sequences.
2. The system of claim 1, the data standard comprises binary code.
3. The system of claim 1, the stimuli comprise at least one of vitamin levelsproduction, mineral levels, amino acid levelsproductionreduction, fatty acid levelsproduction, hormone levelsproduction, insulin levelsproduction, hemoglobin levelsproduction, glucose levels, alcohol levels, infections, parasitic infections, genetic disorders, cancer, cancer producing substances, presence of toxins, abnormal physical states, allergen levels, drug metabolite levels, immune response compounds levelsproduction, or melanin levelsproduction.
4. The system of claim 1, the living body comprising a human being.
5. The system of claim 1, the biomaterial is one of a nucleotide sequence or an amino acid sequence.
6. The system of claim 1, the engineered organism comprising a genetically engineered bacterium.
7. The system of claim 1, the engineered organism comprising a genetically engineered parasite.
8. A method of logging events in a living body, comprising:
introducing an engineered organism into a living body, the engineered organism encodes events in a biomaterial;
collecting the biomaterial generated by the engineered organism, the biomaterial comprising encoded data indicative of an event in the living body; and
using a data standard to correlate the encoded data with the event.
9. The method of claim 8 further comprising sequencing the biomaterial generated by the engineered organism before using the data standard.
10. The method of claim 8, the data encoded in the biomaterial according to binary code.
11. The method of claim 8, the data encoded in the biomaterial according to ASCII code.
12. The method of claim 8, collecting the biomaterial comprising collecting one of blood, urine, saliva, feces, mucus, or hair from the living body.
13. The method of claim 8, the engineered organism encodes events in a polymeric biomaterial comprising two different subunits.
14. An event logging system that obtains data concerning a living body, comprising:
an engineered organism that produces a biomaterial containing encoded information in response to a stimulus; and
a data standard for correlating each of a set of stimuli with a unique biomaterial sequence code.
15. The event logging system of claim 14, the biomaterial is one of a nucleotide sequence or an amino acid sequence.
16. The event logging system of claim 14, the data standard comprises binary code.
17. The event logging system of claim 14, the biomaterial is a polymer comprising two different subunits.
18. The event logging system of claim 14, the encoded information comprising an event log.
19. The event logging system of claim 14, the engineered organism comprising a genetically engineered bacterium.
20. The event logging system of claim 14, the stimuli comprise at least one of vitamin levelsproduction, mineral levels, amino acid levelsproductionreduction, fatty acid levelsproduction, hormone levelsproduction, insulin levelsproduction, hemoglobin levelsproduction, glucose levels, alcohol levels, infections, parasitic infections, genetic disorders, cancer, cancer producing substances, presence of toxins, abnormal physical states, allergen levels, drug metabolite levels, immune response compounds levelsproduction, or melanin levelsproduction.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A turbomachine comprising:
an impeller;
a speed sensor arranged to detect a speed associated with an impeller speed;
a temperature sensor arranged to detect a temperature associated with an impeller exit temperature;
a controls system having impeller parameters including impeller speed and exit temperature, a calculation methodology mathematically manipulating the impeller parameters to determine a remaining life of the impeller, and a programmed response triggered by the controls system in response to the remaining life reaching a threshold; and
wherein the impeller parameters include stress characteristics of the impeller having fatigue strength modification factors including at least one of impeller surface finish, load on an impeller area, and size of an impeller feature.
2. The centrifugal turbomachine according to claim 1, wherein said speed sensor detects a speed of a shaft supporting the impeller.
3. The centrifugal turbomachine according to claim 1, wherein the temperature sensor is arranged near an impeller exit.
4. The centrifugal turbomachine according to claim 1, wherein the calculation methodology is based upon Palmgren-Miner cycle-ratio summation.
5. The centrifugal turbomachine according to claim 1, wherein the calculation methodology is based upon Manson’s approach.
6. The centrifugal turbomachine according to claim 1, wherein the impeller parameters include material properties of the impeller.
7. The centrifugal turbomachine according to claim 1, wherein the stress characteristics include at least one of maximum impeller stress as a function of speed, fatigue strength as a function of temperature, stress ratio, and cycles to failure relative to maximum stress.
8. The centrifugal turbomachine according to claim 1, wherein the programmed response is a warning indication.
9. A method of calculating impeller remaining life comprising the steps of:
a) monitoring a speed of an impeller;
b) monitoring a temperature associated with the impeller;
c) iteratively calculating a remaining life of the impeller based upon a change in the speed and the temperature;
d) producing a warning indication when the remaining life reaches a threshold; and
e) avoiding an undesired change in speed when the remaining life reaches the threshold.
10. The method according to claim 9, wherein step c) includes iteratively calculating remaining life at a rate corresponding a stress cycle produced by the change in speed.
11. The method according to claim 10, wherein step c) includes calculating a change in life attributable to the change in speed.
12. The method according to claim 9, wherein step c) is based upon calculating the remaining life as a function of a stress ratio.
13. The method according to claim 9, wherein step c) uses a maximum design stress of the impeller.
14. A turbomachine comprising:
an impeller;
a speed sensor arranged to detect a speed associated with an impeller speed;
a temperature sensor arranged to detect a temperature associated with an impeller exit temperature; and
a controls system having impeller parameters including impeller speed and exit temperature, a calculation methodology mathematically manipulating the impeller parameters to determine a remaining life of the impeller based upon changes in the impeller speed, and a programmed response triggered by the controls system in response to the remaining life reaching a threshold, the programmed response including avoidance of undesired changes in the impeller speed.
15. The turbomachine according to claim 14, wherein the avoidance of undesired changes in the impeller speed includes operating the impeller at a fixed speed.
16. The turbomachine according to claim 15, wherein the fixed speed includes a full speed condition.