CA1074448A - Method of electrically converting an analog signal into a digital representation - Google Patents

Method of electrically converting an analog signal into a digital representation

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Publication number
CA1074448A
CA1074448A CA239,216A CA239216A CA1074448A CA 1074448 A CA1074448 A CA 1074448A CA 239216 A CA239216 A CA 239216A CA 1074448 A CA1074448 A CA 1074448A
Authority
CA
Canada
Prior art keywords
sum
output
digital
random access
access memory
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired
Application number
CA239,216A
Other languages
French (fr)
Inventor
James A. Neuner
Charles W. Einolf (Jr.)
Andras I. Szabo
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CBS Corp
Original Assignee
Westinghouse Electric Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Westinghouse Electric Corp filed Critical Westinghouse Electric Corp
Application granted granted Critical
Publication of CA1074448A publication Critical patent/CA1074448A/en
Expired legal-status Critical Current

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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01TMEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T3/00Measuring neutron radiation
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M1/00Analogue/digital conversion; Digital/analogue conversion
    • H03M1/06Continuously compensating for, or preventing, undesired influence of physical parameters
    • H03M1/08Continuously compensating for, or preventing, undesired influence of physical parameters of noise

Abstract

ABSTRACT OF THE DISCLOSURE
Electrical communication means for transmitting an analog signal generated at a first location to a remote second location which maximizes noise rejection uses analog to digital converters to sample the analog signal with a periodicity equal to an integral number of cycles of the transmission line frequency. At the receiving end, a summing unit receives the digital output and maintains a running digital sum. Upon receipt of a reset input, the sum is transmitted and cleared from the summing unit. The transmitted digital sum is shifted and the least significant bit dropped. A random access memory stores the transmitted sum while a counter cycles through its output states at the sampling frequency. A decoder responsive to a given output state of the counter provides an output which is transmitted to the reset input of the summing unit. A strobe input readies the random access memory to accept the trans-mitted sum and a second counter counts the decoder output and cycles through its output states which are also trans-mitted to the random access memory to identify the location within the random access memory that the transmitted sum is to assume.

Description

~a ~.
This'~l~vention pertains generally to methods ~or converting analog signals into digital form and more particularly to analog to digital con~ersion methods that I .
maximize noise re~ectio~O `
In many applications analog electrical signals ~'`. . '3, ~

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'. ' , 2re monitored as an indicat~on of events occurring at remo~e locations. Frequently, it is necessary to transport the analog signals through adverse ehvironments which contribute noise to the signal being conveyed. Often the no1se con-tributions will obscure the inrormation being comrnunicat~G
- While a number of noise rejection techniques are av2ilable in the rorm Or filters, the slow response times exhibi~ed are often objectionable. Noise problems become even more acute when ~urther processing of the analog signals is -' required to obtain meaningful data. Arithme'~ic comput2tions on the communicated infGrmation will in certain cases ampli.y the elfective noise to signal ratioD In a number o~ 2pp7i- :
cations, such computations are more e~liciently obtaine~
by first providing a digital representation of the analog input. However, in a'high noise environment t'he digital , samp~es will be severely af~ectecl b~3 superimposed noise com-ponents.
Noise rejection problems as well as the pr~blems ' ' ' a-soclate~ with ^onverting analog si~nals to digifa~ ~orm ' ' ' 20 become even more acute in many ~ndustrial systems in which '' .'; ' minicomputers are employed to interface with analog signals remotely generated~ An example Or such a system is the axial J ' power distribution monitoring system employed as part Or a '~' number of pressurized water reactor surveillance systemsO
The purpose of the system is to periodically scan the reactor core usin~ movable incore flux mapping ' ,~
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-2- ' ''' '' ~ ' ~~ '' - ' .' ' -: ~
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detectors~ l'he neutron flux throughout the axial height of the core is recorded, normalized~ and searched for un-usual peaks that exceed acceptable limits~ Unusual peaks in axial flux generally indicate abnormalities in the core such as gaps between ~uel pellets caused by densificationO
The localized power increases that result must be kept within acceptable limits to insure the ef~ectiveness o~ I -emergency core cooling systems in the unlikely event o~
severe accident condit1ons.
For maximum efficiency, it is necessary to compare normalized data, such as neutron flux divided by the average over the core height, to a variable threshold Acceptable peaks are then determined as a ~unction of axial position~
Higher peaks can be tolerated in the bottom of the core than can be tolerated at the top of the core. The alarm threshold is therefore, monotonically decreasing with increasing height ln the core. To perform this function properly, the raw data must be sampled and stored throughout a scan since .
~ the true-average can only be calculated at the end o~ each ecanO A normallzed curve must be gene~rated and compared ~o a variable alarm threshold. An analog impleme~tation of this functlon would be highly expensive and complex compared to a dlgltal approach with a large number of samplesa To accomplish this result it ls desirable to employ a bus orl-ented minicomputer system. However, data conversion and transfer is complicated by the severe electrical environment experienced under the ambient conditions associated with nuclear reactor facilities.
-- The axial power distributlon monitoring system, llke many other systems that employ dlgital minicomputers, .' ~ ' ' "'''.
' . ; ~ . .

.~ . . . . . .

45,719 requires that all inputs and outputs be interfaced by .-~nput/output cl.rcuitry located outside the computerO In addition, the analog signals must be converted to a digital representation by the input/output circultry be~ore being communicated to the computer. While the internals of the minicomputer are ~ree of electromagnetic interference due to appropriate shielding and filtering technique~, the input/
output electronics experience a more severe environment since the remainder o~ the system employs very little shieldin~
10 or filtering. Inexpensive successive approxlmation analog .
to digital converters used generally on input/output card~ . .
are part;cularly sensitive to inter~erence on the incoming .
analog signals~ Even when the analog slgnals are sufficiently .. . .
processed to cleanse them o~ inter~erence~ and/or dual slope :
analog to digital converters are employed 3 the logic and . .
wiring from the converter to the computer rem~ins susceptible r:
to inter~erence either from the power supply lines or radl- .. -ation from other signal lines.
Accordingly, in the axial power distribution ~ :
mon~toring s~stem, as in many systems, the need exists ~or I a simple, inexpensive technique to accept low.speed analog signals, and convert and transfer them within an electricall.y noisy environment to a separate minicomputer~ This must be accomplished with a min~mum susceptibility to electro~

magnetic interference and without expensive shielding and ¦~
~ilterlng o~ the entire systemO ¦ `
SUMMARY OF THE INVENTION . .-~ ~ . . ~
Brie~ly, this invention overcomes the deficiencies :
an appa~a7~u s of the prior art by providing a-met~o~ for electrically con-verting an analog signal into a d~gital representation in , ~7~

a manner that maximizes noise rejection. In accordancewith the present invention an analog to digital converter is situated at a first location and samples the analog signal with a periodicity equal to an integral number o~
cycles of the power line, on which the signal is to be transsmitted. The digital output represents the value of the samples o~ the analog signal. At the receiving end a sum-ming unit, electrically responsive to the di~ital output, maintains a running digital sum of the samples taken and 10 responsive, to a reset input, transmits the digital sum and - -clears the sum from the unit. The sum is digitally transmitted, dropping the least significant bit, to a random access memory which stores all but the least significant bit. A first cou~Ster cycles through its re~pective output states with the same periodicity as the sample. A decoder responsive to the output state of the ~irst counter provides an output which is communicated to the reset input of the summing unit and a strobe input on the random access memory readies the random access memory to accept the transmitted sum. A second counter, responsive to the respective decoder output, cycles through its corresponding output states and transmits them to the random access memory to identify the location in the random acce~s memory that the sum is to assume. The minimize high frequency noise havi~g a low duty cycle the time period over which the disorete coordinates are sampled ~or a cor-responding discrete point is arra~ged to be substantially greater than the period of occurrence of high frequency noise.
~ ..... ..
For a better understanding of the invention, reference may be had to the preferred embodiment, exemplary of the invention, shown in the accompanying drawings~ in which: ;
Figure 1 is a b:Lock diagram o~ an exemplary moni-toring system employing the method of this invention;

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45,719 ~ ~7 ~

Flgure 2 is a block diagram of the input/oukputelectronics employed in practicing the method o~ this invention in the exemplary system of Figure l;
Figure 3 is a schematic circuitry diagram of the analog/digikal converter and conditioning lnterface illus-trated in block ~orm in Flgure 2, Figure 4 is a circuitry schematic of a second portion of the block diagram illustrated in Figure 2;
Figure 5 is a block diagram of individual hardware components which can be employed to practice the method of this invention; and Figures 6, 7, 8, 9 and 10 lllustrate flow diagrams corresponding to the various subr~utines which can be em-.;~ ~.. . .
ployed to control the proc~essor o~ Figure 1 to per~orm thesteps of the method of this inventionO
DESCRIPTION OF THE PREFERRED EMBODIMENT :-In order to better appreciate the preferred mode of practicing this invention,~the individual skeps will be :-. - . .
described as applied to a reactor axial power distribution monitoring system such as the one described previously and illustrated in block form in Flgure 1~ Generally, in this partlcular type of s~stem9 two detectors are employed to scan the reactor core. The detector outputs are communicated respectively to blocks 10 and 12. Alarm limits generally referred to as threshold offsetF are selected prior to the operation o~ the system and are entered into the system through blocks 14 and 160 Real time clocks 18 and 20 supply an in~ication o~ the time of each scan. Processed outputs of the kwo detectors are respectively communicated through 30 blocks 22~ 24, 26 and 28O Modules 10, 14, 18, 22 and 26 :

, .

, . ; j . , ; :

45,719 ~7~

process the information generated by one o~ the two scanning detectorsS identified as sensor A and modules 129 16, 20 3 24 and 28 process the signals presented by the second scanning detector, sensor B. Each of the individual modules are in communication with a common input/output bus 34, : `.
which transports data to and ~rom a central processing unit 30, which can be any one of a number of special purpose computers such as the Data General 1220 minicomputer, manu-factured by the Data General Corporation of Southboro, .;
Massachusetts The processor communicates with the indivi-dual modules through a preselected arrangement Or corres- .
ponding addresses, which are recognized by the respective modules being called upon to transmit or receive data. In ~ ~.
addition, the processor 30 communicates with a printer 32 to supply a visu.al displag of the desired data. The rela- -tionship of` the various blocks illustrated in ~igure 1 to -the steps of the method o~ this invention will be appreciated . ..-from the following expla~ation which sets ~orth in detail ~ .
the pertinent portions of the system .iFigure 2 provides a more detailed illustration of the varlous functions of the individual modules identified .~:
in Figure 1 which are particularly pertinent to the steps of the method of this inventionO The block diagram o~
Figure 2.is separated into two distinct arrangements 36 and 38, which respectively show the input and output functions .
of the systemO The input ~unction is represented in Figure : 1 by modules 10, 12, 14, 16, 18 and 20, while the output function is the responsibility of modules 22, 24, 26 and 28 The input and output functions are not completely isclated in the Figure as shown, in that in order to reduce circuitry :: .
7- . :
''' ~' " . ., , i .

45,71g costs a common decoder 42 is employed to decipher the address l~nes ~or both the input and output functions.
Communication between the two functions is established by the conductors 405 whlle isolation is maintained by the interf'aces 62a~78. The circuitry for the input arrange-ments 44 and 46 ls shown in even greater detail in Figuras ~:
3 and 4 as will be appreciated from the corresponding -description set forth hereinarterO :
In applying the method of this invention to this 10 particular application normal noise re~ection methods are ::
used to accept the analog signals at the sensor inputs to ~ :
the input card 360 Common mode re~ection is first imple~
mented, as represented by block 48~ to remove noise induced ;.~.
by different ground potentials, Next, an active filter 50 ~.. `.
is used to maximize the signal to noise ratioO A standard .
inexpenælve medlum speed analog to digital converter 52 processes a corresponding digital output at intervals triggered by the clock 54. As previously explained, new converslons are initiated on a periodic basis by the free running clock 54 at a much higher rate than would otherwlse normally be required to generate a digital reproduction~

Each conversion is read into the minicomputer 30 when the 'c\.L ~
input buffer status ~WH~#~ 56 identlfies that a new sample :.
is ready to be transferred, The data se.lec-tor 58 is respon-sive to an appropriate address from the computer to transmit - .
the sample to the input/output (1/0) bus. The transistor to transistor logic bus interface 64 functions as a buffer .
between the input/output bus and the data selector, The .
threshold offsets~ which determine alarm limits9 are initially programmed through the data selector directly into the data -8- ~:

. ' , . . :

45,719 ~6~7~

processor 30 by appropriate address commands. After a fixed large number of samples are transferred to the minicom-puter an average is computed to determine a single discrete I
data pointO
Most electromagnetic interference which mayaffect the digital data enroute from the analog to digital converter on the lnput card, to the minicomputer will be of a high frequency, low duty cycle nature. In other words, the ratio of occurrence of high frequency noise is small compared to the period of nonoccurrenceO Therefore, the high frequency, low duty nolse will affect only a smaIl number o~ samples used to compute each data point The effect after averaging in accordance with this invention 1~
.. ..
will be minimal. -In order to minlmize the effects of harmonics of power line frequencies, the averaging period is desirably chosen to be an integer number of cycles of the power line ~requencyO For this particular application the period is ~preferably chosen to be 100 milliseconds so that it is representative of an inte8er number of cycles for either ~50 or 60 Hzo If the sampling period is an integral multiple of the lnter~erence period, infinite noise rejection occur~
~For periods not exact multiples, two extreme cases can be caloulated to show the eff~ectsO The first case occurs when the averaging period begins at the zero crossing of the lnterference ~requency, normally re~erred to as a phase-locked condition. The average value for a sample with period T can be represented by the equation:

_g_ , . 1:' .

45,719 Average (phase-locked) - - ~ V sin ~Jt dt o '~ ~"
= (1 - co9 ~JT) V
.;
where W is the angular frequency and ~ is the magnitude of the interferenceO Accordingly, Attenuation (phase-locked) = 20 log10 (Average/V) :~ :
glO ~T - 20 logl0 (1 - cos~UT)O
Simllarly 3 a second case can be calculated when the aver~
aging period beglns at a peak of the interference (noted as the worst-case)O The average value can be represented by the equation Average (worst-case) = ~ S V cos ~ t dt ;~
o _ V sin ~ To ~u T
Thus, ~ -Attenuation (worst-case) - 20 logI0 ~T - 20 log10 ( sin~VT ) From the above it can be appreciated that at frequencies near the 50/60 Hz power line frequencies and : .-their harmonics the attenuation approaches in~lnity and ;~

will be limited only by the fi~ite number o~ samples taken.
Finally, the number o~ samples to be taken during the 100 ,. . .. .
millisecond averaging period in this particular example is deslrably chosen to be an integer power o~ two, iOeO 29 which equals 512, so that the divislon required to compute . .
the average is reduced to a simple and ~ast shifting pro-cedure within the computerO . -~
-10~
. .

45,719 The output side of Figure 2 illustrates how the processed inf`ormatlon is distributedO The decoder 42 interprets the addresses provided by the data processor 30 and conveys the corresponding information to appropriate R-S flip-flops within latches 70~ which store the data to provide a contlnuous output to the appropriate output devices, .
The binary to binary coded decimal converter 72 displays .~.
the highest Fz output sampled in digital formc The digital to analog converter 74 provides the same output in analog form0 The alarm circuitry 76 identifies when the threshold offsets have been exceeded and alerts the plant ope~ator The line receiver 62 and line driver 78 function to interface the input secki.on 36 with the output section 380 ~.
Thus, it can be generally appreciated that the input data is sampled at a relatively rapid rate and a :-given number of samples averaged to establish a fixed dis- :~
crete data point~ which is then stored in the data processor, .:~
: When a given number of discrete polnts have been stored in .
the data processor 30 a digital representation of the input analog signal is ~ormed. The averaging employed to estab-llsh each discrete point substantially enhances noise re~ection efforts.
The circuit 48 illustrated in Figure 3 will readily be recognized by those akilled in the art as a - ~:
- :. ,.,: .
simple analog comrnon mode noise re~ection arrangement which -receives the detector input at terminal 82 and provides a ~ ~
common ground output 80 to the active filter 50O Similarly, :.
the circuit arrangement 50 filters the incoming si~nal to ; .
remove additional noise and communicates the filtered output ;
30 84 to the analog to dlgital converter 52. The converter . .~

:, ,, ~l5,719 I, ' I .

~L~7~

processes the signal into a corresponding digita~ represen-tation, D0 through D9, and generates a separate output 86 to the bu.ff~er status circuit 56, identif~ylng that the digi-tal outputs have been establishedl The main component o~
the buf~er status circuit is an RS f'lip-flop 88, which is set by the output 86, The set signal is communicated to the computer by bit D15 to trigger the computer to read in the sampled processed dataO The sampling rate is controlled by a free running clock 54 having an oscillator 91 which drives two four-bit counters 92 and 94. The clock output 96 triggers the converter to provide the sampling per~od desiredO
Accordlngly, each time, ~he clock 511 triggers the analog to digltal converter an appropriate digital output I:
is established and the buf~er status circuit 56 is set to : identi~y that the informatio~ is in proper f'orm for trans- , missionO The computer is responsive to the buffer status circuit output D15 to accept and store the data and rsset the bu'~er st.atus:clrcuit through an appropriate address 20 and command communlcated through the decoder 42 to termlnal ..
90. As~will be appre.ciated ~rom the operati.onal explanation~ :
of the computer to~ ~ollow, the comput~r will store 512 digital points corresponding to the analog samples taken before~the averaging process is per~ormed and the resulting l:
averaged discrete point stored in the computer's random ~:
access memoryO Throughout the computational process addi-tlonal data is continually being accepted f'rom the analog to dlgital converter to establish the next averaged discrete polnt after 512 samples have been collectedO

Figure 4 is a circuit schematic of' the functions 12 !
~, .

: :
45,719 previously identified by reference character 46 in Figure .
2. The threshold offsets are programmed in binary by the plant operator by opening and closing the appropriate switches lOOo The threshold offsets are then communicated by the data words S0 through Sl5 when properly addressed by the computerO The data selector unit 58, which is an appropriate arrangement of logic gates, receives inputs .;. . .
from the S lines, representative of the threshold offsets;
the Tn lines~ representative of the real time in houns and . -~
minutes; and the D data outputs. Upon receiving a desig~
nated decoded address 110 from the decoder 42 ~he corres~
ponding outputs are strobed by the lnputs 108 to the input/ . . .-output bus communicating with the data processor 30. The :-:. s transistor to transistor logic interface 64 properly con- .
ditioni~ the outputs for transmission to the buso Up to this point the steps of the method of this :-~
invention have been described as bein8 implemented by hard~
ware in combination~with the programmed processing opera-.tions of a minicomputerO However, it should be appreciated s.:.
that though a min~computer does serve as a pref~erred mode for practicing the invention, hardware without the aid of ;~-software can~be used to accomplish the same staps, às . .

illustrated in Fleure 50 In aacordance with the arrangement illustrated in ;:~
Figure 5 the sensor inputs, represented by bloak 102, are .
~irst filtered by circuits similar to those previously iden~
tified by reference characters 48 and 50 in Figures 2 and : .-30 The filtered outputs are processed by an analo~ to ..
. digital converter 104 similar to that illustrated previously .-by reference character 520 An oscillator or clock 106 such : '.

45,719 ~f~7~

as the one illustrated, in Figures 2 and 3 by reference character 54 triggers the analog to digital converter 104 to provi.de the desired frequency of digital samples to a su,mming unit or totalizer 1160 The oscillator 1.06 also drives a counter 112, which is monitored by a decoder unit 114~ A given arrangement of output bits of` the counter 112 is identi~ied by the decoder output 122c The output 122 serves several functions, It is used to clock an additional counter 118, as well as reset the totalizer 116 and strobe ,~
10 the random acces,s memory 120 to accept the outputs from the ~,~
totalizer 116. ;
Thusg the analog signal is continuously sampled by the analog to digital converter 104 according to the ,',,,~ .
frequency prescr~bed by the clock 106. The digital samples :
are contlnuously fed to the totalizer 116, which maintains "~
a running sum of the incoming data until resetO , --Accordingly, it can be appreciated rrom the processor example set ~orth previously that'the decoder 114 is arranged to recognize when the counter 112 has sequenced 512 ,' ~: 20 states and strobe the random access memory to accept the ,, totali&er output representative of the 512 pointsO As the : , information is being conveyed from the totalizer to the ''''~
.
random access memory the decoder resets and readies the '.
totalizer to accept a new set of 512 samplesO
The counter 118 advances one count for each decoder :.
.
output identifying the location within the random access : ' memory that the output of the totalizer is to assumeO Aver~

: aging occurs by dropping the least significant bits of ~ . ~
totalizer output.

The averaging process is a common binary operat~on 45,719 ~7~

utilizing a binary shift to accomplish dlvision, In this particular operation the most significant bits stored in the random access memory are equal in number to the total - number of bits received from the analog to digital con~erter.
In this manner, the random access memory acquires a table of digital outputs which is essentially a digital representation of the input analog signalO The totalizer function in summing and averaging the given number of digital samples for each data point-accomplishes the noise reJection steps contemplated by this invention.
As an alternative to the hardware arrangement provided in Figure 5 the data processor 30 can be programmed ~o perform the computational and storage functions described~ -Ihe pertinent program rou~ines~employed in carrying out the particular steps appllcable to the axial power distribu-.
tion monitorlng system of this em~odiment are illustrated ~--'` in the flow charts pro~ided in Figures 6 through 10 and the -~

~ program statements set forth ln the appendix, . .
s previously stated ~or this particular applica-tlon, al~d for ~ther similar appllc;atlons conoerned wlth normal power line frequenoy noise and high rrequency, low duty cycle noise~ approximately 512 samples are desired for each discrete representation~used in the digital repro- /
ductlon of the analog signal, To establlsh a representati~e reproduction it is desirable to obtain an average discrete point approximately every tenth of a second, This amounts to approximately 600 dlscrete polnts for each detector scan, The operation of t-he processor can thus be understood .. . ... ..
; from the following explanation of the~programmed events~

Figure 6 provides an overview of a program routlne -15- ~
,:

~15,719 enti.tled "Begin Scan" which outlines the operations per-~ormed withln the processor Consistent with normal pro-gramming practices a rectangle is employed to indlcate a processing operation except for a decision, a diamond ldentifies a deciæion, with the lines leaving the box labeled wlth the decision results, and an oval is used to indicate the beginning or endlng point o~ a programO Arrows connect the flow chart designations to identify the sequence of events performed by the processorO
Thus, "Begin Scan" is the beginning of a program routine starting with the direction 124 wh~.ch prescribes a bookkeeping operation that clears the plot table, sum, -: -sample counters and alarm words 3 readying the computer to accept new data to be supplled ln the course of a new scanO .
The bookkeeping operations are processed within the com-puter ln accordance with octal statements 770 through 1003 set forth in the appendix O The octal arrangement is -.-:~
chosen to be compatible with the specif`ic computer employed in this example~ The sample counter referenced in the : 20 bookkeeplng operation 124.keeps track o~ the 600 dlscrete polnts used in the digital reproductionO ~ :
The next processing operation 12~ sets the con-version counters to 5123 which identify when the.proper number of samples have been taken before the samples are x . ~:
averaged ko obtain each discrete pointO This particular operation is sequenced by program statements 1004 through .
1006.
The next processing operation described in program statements 1007 through 1017, questions whether detector A
is scanning and readyO I.~ the result is yes the program is :

.. . . .

~7444~

directed to a new subroutine identified by the title "DR~AD", set forth in program statements 1361 through 1403. The computer processes the data from detector A
in accordance with the directions of the subroutine, to be described hereinafter, and then returns to the next decision 1327 If detector A is not scanning and is not ready then the computer i~nmediately proceeds to the next decision 132 which determines whether detector B is scanning and readyO If the result of the decision is yes then the computer uses the detector B data in subroutine "DREAD"
and returns to the next processing operation The following processing operatlon 136, entitled "~S~T DEADMA7~", ls a separate subrout~ne set rorth n etate- ~
ments 1564-1570, which will be described herelnafter. ~ -Briefly, subroutine "DEADMAN" directs a specific coded ~;;
sequence of outputs to a fault detection circuit described in detall in Patent Application Serial No. 237t2~9 ..
~ entitled "An Electrical FauIt Indicator" by .
C~ W. Einolf~ Jr. et al, ~ilea October ~, 1975. Upon completion Or the instructions of the'~EADMAN" routine the computer implements another decision 138 to d~etermine whether the detector scans are completedO If the decision is yes ~..... ..
the routine terminates in~an "END OF SCAN" rout~ne 140~
which dlrects a separate series of Gperations not pertinent to this inventionO If the computer ldentifies that a scan is still in progress, the program returns to decision block 128 ~la loop 162 to continuously collect the data being generated by the detectors.
Figure 7 outlines the steps of subroutine "DREAD".

Initially the program gathers the samples obtained from the .

. ...
4'j,719 f detectors as represented by the direction 142 "READ XN DATA"
described in program statement 1007 for detector A and 1020 for detector B. The data is actually supplied to the computer during the course of a separate subroutine en~itled "SCAN" se-t forth in statements 1337 through 1351, described hereinafterO :
The next direotion (144) after the data has been accessed by the computer is to "EXTEND SIGN OF DATA"~ The pertinent steps for carrying out this direction are set . 10 forth in statements 1361 through 1373 in the appendlxO The e~fect of direction 144 is to process the input data into compatible form ~or the particular computer chosen for this operationO ~;
Direction 146 next specifies that the computer get . :
the current running sum in accordance with statements 137~ ~ :
through 14020 The data inputted in this particular sample is then added to the current sum~as directed by block 148, and the conversion counter is decremented as indicated by block 150 and instructed by statement 1403, reducing the 512 :
2~ counter by one count indicating that one less data entry is required before the average is takenO ~
Declsion 152 questions whether.the conversion counter has been decremented to zero and if the result is yes the 512 samples are pa sed to the '1COMPUTE SAMPLE" con- ;
tinuation of the "DREAD" subroutine which averages the running ~um as outlined in Figure 80 I~ the conversion oounter has not reverse counted to the .zero s~ate then the current sum is stored~
Accordingly, every time a sample is taken in either o~ the two loops illustrated in Figure 6 by reference char . ..
.,, - ' :':

ll5,719 acters 128 and 130, and 132 and 134, the "DREAD" subroutine is called upon to read the data, process it to a compa-tible ~orm ~or the computer9 get the current sum to date, add the data to the current su:m and decrement the counter until 51.2 samples ha~e been taken The "COMPUTE SAMPLE" portion of the "DREAD" sub- :
routine called upon in the flow chart of Figure 7 is out-. :.
lined in Figure 8~ The ~irst directlon 154 requires that .
the computer divide the current sum by 512 and increment the sample counter one count in accordance with statements 1404 through 1416 The sample counter is used to identi~y each of the discrete 600 representation3 which will be used - as a digital reproduction vf the irlput analog signal The:.
next direction set ~orth ln statements 1417 through 14239 .
entitled "SAVE SUM, USE SAMPLE COUNTER AS POINTER" in block 15?S points to the corresponding location in the table in the random access memory where the discrete point averaged from the 512 samples is to be sto~edO The accumulated table of 600 stored polnts c.an then be used as the digital reproduc- .
tiorl o~ the analog signal~ The computer then clears the susn and sets the conversion counter to 512 in a~t~.cipation of the next entry in accordance with the directiGns provided by block 158 and statements 1427 through 14320 Next the com-puter is again instructed to save the sum by the flow chart direction 1600 However at th~: point in the sequence o~ ~ .
operation, the sum is zero so the computer returns to the .
loop 162, identi~ied in Figure 6, to await the nex-t scanO ..
It should be appreciated that the "STGRE" direction ..
speci~ied i.n the "DREAD" subroutine o~ Figure 7 is also a direction to save the sum 160 and return to the loop 162.
~19- ' ' ' ~ .
? . .

:. ' ' ,: : . . . :
.: . . . :
. .
.

s 7 1 ~
:

107~44~3 :

However, at this point in the course of operation of the program a sum has been established and is saved until new data is added by the "DREAD" routineO The "STORE" and l'SAVE SUM'I directions 160 are supplied by statements 1433 through 1435~ -Figure 9 outlines the 'ISCAN'' subroutine called upon by blocks 136 and 138 in Figure 60 Initially,.the "SCAN"
routine calls upon the~EADMAN" routine to output prescribed coded addresses and data words to the fault monitoring circuit described in application Serial No. 237,2~9, entitled "An Electrical Fault Indicator", by C~ W Einol~, JrO and J~ Ao Neuner, flled October ~, 1975, The steps of the l'D ~ A D M A N" routine are out-llne d in Figure 10 and specified ln statements 1564 through 1570. Following the output o~ the "DEADMAN" code the com-puter decides whether sensor A has started or is in the middle of a scan and if the result is no~ the computer then questions whether sensor B has started or is in the middle of a scan as indicated by the decision blocks 166 and 168 20 and the corresponding program statements 1337 through 1351 .
If the decision in both cases is no then the result of dec.ision 138 requested in Figure 6 will be yes and the com-puter will proceed to the direction indicated by block 1400 I~ a scan has been indlcated by elther ~ecision block, then the result of the "SCAN COMPLETED" declsion 138 in Figure 6 : will be no and the computer will return via loop 162 to p~o- :
oess the new data being generated by the detector~
Accordingly 600 discrete points are stored in a ~ -~

table for each scan with each point belng determined by 512 ~

30 averaged samples. i :

11 5, 71~ ' Thus, the method of this invention provides an inexpensive mechanism for converting analog signals to digital form in a manner that maximizes the slgnal to noise ratio without compromising the accuracy of the con-version~

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'~ ,"' '~ ' , '',' ' ~ :"' Contlnue with Appendix pages, ~ ;

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.

4~g719 APPENDlX

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APPENDIX
45 3 71g AE'PENI:) I X

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APPENDIX
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Claims

The embodiments of the invention in which an exclusive property or privilege is claimed are defined as follows:
1. Apparatus for electrically communicating information embodied in an analog signal generated at a first location to a remote second location, which maximizes noise rejection including:
an analog to digital converter situated at the first location and operable to sample the analog signal with a periodicity equal to an integral number of cycles of the power line to provide an electrical digital output representative of the samples taken;
means for transmitting the digital output to the second remote location;
a summing unit electrically responsive to the digital output at the second remote location to maintain a running digital sum of the samples taken and responsive to a reset input to transmit the digital sum and clear the sum from the unit;
means for digitally shifting the transmitted sum and dropping the least significant bit;
a random access memory responsive to the transmitted sum to store all but the least significant bits of the sum that were dropped in a corresponding memory location;
a first counter operable to cycle through its respective output states with the same periodicity as that of the samples taken;
a decoder responsive to a given output state of the first counter to provide an output which is communicated to the reset input of the summing unit and a strobe input on the random access memory which readies the random access memory to accept the transmitted sum; and a second counter responsive to the respective decoder outputs to cycle through its corresponding output states which are communicated to the random access memory to identify the location within the random access memory the transmitted sum is to assume.
CA239,216A 1974-11-08 1975-11-04 Method of electrically converting an analog signal into a digital representation Expired CA1074448A (en)

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JPS55120242A (en) * 1979-03-07 1980-09-16 Sharp Corp Waveform synthesizer
US4556867A (en) * 1982-11-01 1985-12-03 John Fluke Mfg. Co., Inc. Dual rate, integrating, analog-to-digital converter
US4602243A (en) * 1983-04-27 1986-07-22 Pacific Scientific Company Analog-to-digital conversion and averaging system for an optical analyzing instrument
FR2620829B1 (en) * 1987-09-18 1989-12-01 Commissariat Energie Atomique SYSTEM FOR SUPPRESSING NOISE AND ITS VARIATIONS FOR THE DETECTION OF A PURE SIGNAL IN A DISCREET SIGNAL MEASURED NOISE
US5214580A (en) * 1990-06-27 1993-05-25 Hewlett-Packard Company Process for identifying discrete data representative of an input sample stream
US6091349A (en) * 1998-09-30 2000-07-18 Cirrus Logic, Inc. Noise management scheme for high-speed mixed-signal integrated circuits
CA2949639C (en) 2014-05-24 2022-05-03 Shoji Aoyama Part feeder apparatus
CN107121581B (en) * 2017-04-25 2019-07-12 电子科技大学 A kind of data processing method of data collection system

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US3484591A (en) * 1966-07-18 1969-12-16 Hewlett Packard Co Extended bandwidth signal-to-noise ratio enhancement methods and means
US3879724A (en) * 1973-11-19 1975-04-22 Vidar Corp Integrating analog to digital converter

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