1. An improved gas generating system of the type including a plurality of product gas generating modules each of which comprises a plurality of molecular sieve beds generating a product gas in a repetitive cycle with each cycle having a period of peak product gas flow, the improvement comprising:
a manifold for combining the product gas from the plurality of modules; and
a processor means for generating a control signal communicated to the gas generating modules; the control signal causing peak product gas flow periods of the repetitive cycle of the modules to be adjusted in response to the control signal; and the processor causing the peak period for the modules to be timed across the repetitive cycles in a controlled distribution.
2. The invention of claim 1 wherein the peak period for each module is shifted from the peak period of the remaining module cycles by WN time units where W represents the period of time between successive peaks for each of the number N modules.
3. The invention of claim 1 wherein the processor adjusts the peak period for each module to be substantially synchronized.
4. The invention of claim 1 wherein one module acts as a master module for establishing control of the peak period for coordinated phasing of the peak period for the remaining modules to be synchronized.
5. A method for generating a desired product gas with a gas generating system of the type including a plurality of product gas generating modules each of which comprises a plurality of molecular sieve beds generating a product gas in a repetitive cycle with each cycle having a period of peak product gas flow, the steps including:
combining the product gas from the plurality of modules with a manifold; and
generating a control signal with a processor with the control signal communicated to the gas generating modules; the control signal causing peak product gas flow periods of the repetitive cycle of the modules to be adjusted in response to the control signal; and the processor causing the peak period for the modules to be timed across the repetitive cycles in a controlled distribution.
6. The method of claim 5 wherein the peak period for each module is shifted from the peak period of the remaining module cycles by WN time units where W represents the period of time between successive peaks for each of the number N modules.
7. The method of claim 5 wherein the processor adjusts the peak period for each module to be substantially synchronized.
8. The method of claim 5 wherein one module acts as a master module for establishing control of the peak period for coordinated phasing of the peak period for the remaining modules to be synchronized.
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 glass identification method for recycling a target material that includes glass, comprising:
irradiating the target material with X-rays to obtain a fluorescent X-ray spectrum for the target material; and
identifying the type of glass included in the target material by analyzing and comparing the fluorescent X-ray spectrum group for a specific substance group with the fluorescent X-ray spectrum of the target material,
wherein identifying the type of glass involves performing compositional analysis of the fluorescent X-ray spectrum of the target material and compositional analysis of the fluorescent X-ray spectrum group of the specific substance group, comparing the analysis results, and determining the degree of agreement.
2. A glass identification method for recycling a target material that includes glass, comprising:
irradiating the target material with X-rays to obtain a fluorescent X-ray spectrum for the target material; and
identifying the type of glass included in the target material by analyzing and comparing the fluorescent X-ray spectrum group for a specific substance group with the fluorescent X-ray spectrum of the target material,
wherein identifying the type of glass involves finding the difference between the fluorescent X-ray spectrum of the target material and the various spectra of the fluorescent X-ray spectrum group of the specific substance group, and determining the degree of agreement.
3. The glass identification method according to claim 1, wherein the target material andor the specific substance group is a glass substrate used for a display.
4. The glass identification method according to claim 1, wherein the target material and the specific substance group include at least one element selected from potassium, calcium, iron, strontium, zirconium, barium, and hafnium.
5. A glass identification apparatus, comprising:
an X-ray tube for irradiating a target material that includes glass with X-rays;
a detector for measuring the intensity of fluorescent X-rays emitted from the target material;
a memory unit for storing data of the fluorescent X-ray spectrum group of the specific substance group; and
a computing unit for identifying the type of glass included in the target material by finding the fluorescent X-ray spectrum of the target material from the measurement results of the detector, and analyzing and comparing the fluorescent X-ray spectrum of the target material with the data for the fluorescent X-ray spectrum group of the specific substance group.
6. The glass identification method according to claim 2, wherein the target material andor the specific substance group is a glass substrate used for a display.
7. The glass identification method according to claim 2, wherein the target material and the specific substance group include at least one element selected from potassium, calcium, iron, strontium, zirconium, barium, and hafnium.