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А Е Е А Ы Е , Е А

а т–а е ь 2015 15 № 2 ISSN 2226-1494 http://ntv.ifmo.ru/ SCIENTIFIC AND TECHNICAL JOURNAL OF INFORMATION TECHNOLOGIES, MECHANICS AND OPTICS March–April 2015 Vol. 15 No 2 ISSN 2226-1494 http://ntv.ifmo.ru/en

331:519.7:62.50:681.306

Ь

-

Ь

Ь

Ь

-

Ь

. . a, . . a

a , - , 197101,

А : 79214215187@ya.ru

01.12.14, 25.02.15 doi:10.17586/2226-1494-2015-15-2-329-337

: . ., А. .

-- //

-, . 2015. 15. № 2. . 329–337.

. - .

.

- . ,

- : ,

. ,

, ,

-, . :

- ,

-- ; - ,

, ,

- .

--

-- .

: - , , , ,

, , - ,

.

. ( 074-U01)

( 14. Z50.31.0031).

INTERVAL ADDITIVE PIECEWISE POLYNOMIAL TIME OPERATION MODEL

OF HUMAN-OPERATOR IN A QUASI-FUNCTIONAL ENVIRONMENT

M.V. Serzhantovaa, A.V. Ushakova

a

ITMO University, Saint Petersburg, 197101, Russian Federation Corresponding author: 79214215187@ya.ru

Article info

Received 01.12.14, accepted 25.02.15 doi:10.17586/2226-1494-2015-15-2-329-337 Article in Russian

Reference for citation: Serzhantova M.V., Ushakov A.V. Interval additive piecewise polynomial time operation model of human-operator in a quasi-functional environment. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2015, vol.15, no. 2, pp. 329–337. (in Russian)

(2)

human-operator activity in the quasi-static environment has given the possibility to analyze and predict functional measures for performance management of human-operator functional activity in manufacturing static environment.

Keywords: human-operator, functional activity, warming-up, tiredness, recreational interval, productivity, piecewise polynomial approximation, additive models with interval parameters.

Acknowledgements. This work was supported by the Government of the Russian Federation, Grant 074-U01 and the Russian Federation Ministry of Education and Science (Project 14. Z50.31.0031)

(Ч )1 ,

. [1–11]

- .

, Ч

-. К ,

-Ч .

Ч

. ,

– , [12],

Ч -

, ,

,

, - ,

-, , , ,

-.

Ч , ,

,

[4, 6, 7]. , , ,

( ) ,

, , . .

-, Ч

. , Ч

[6, 7] .

, ,

[13].

А , ,

-,

-, .

-, , ,

,

Ч .

: Ч

-,

.

-

-

Ч

Ч , [7]

- . 1.

( . 1)

-Ч : (0) – ; (t11) –

-, ; (t12) –

-Ч ; (t13) –

-1

(3)

,

-; (t14) – ( К ),

-; (0–t11) – , ; (t11–t12) –

k; (t13–t14) –

-, ,

« К »

1 

k 0,7k ,

-0, 3

  . ( . 1) [7]

-: (0–t11) – 12 (0,2 ); (t11–t12) – 21 (0,35 ); (t12–t13) – 147 (2,45 ). Э

Ч .

. 1. я я Ч

, . 1,

Ч

-. , [7],

 

h t

-, . 2.

. 2. я я

К ( . 2) , «

(tp) –

1 

k», . 1.

p

t

 , 0,25 0,5 0,75 1,0

1 

k 0,75 k 0,9355 k 0,9844 k 0,9961 k 1

1. я

1 

k

Ч (tp)

. 1 ,

, ,

,

-,

1 

k h(t)

0

t11 t12 t13 t14

tp

hB(t) 0,9 0,8 0,7 0,6 0,5 0,4 0,3 0,2 0,1

(4)

. , Ч

, . 3.

. 3. я я я Ч

( . 3)

. , Ч

-.

0t11

, ,

:

 

  

0,11 0 1 1 11 .

h t   ttt (1)

t11t12

,

k ,

 

11

 

12

 

11

11,12

12 11

1 1

k

h t t t t t t t

t t

     

 . (2)

t12t14

Ч

:

 

 

12,14 1 12 1 14

h t  k tttt . (3)

, (t13),

12 13 14

ttt t133 , h13,14

 

t Ч ,

:

 

13

 

13

 

14

13 14 14 ,

13 t t 1t t t t

t t

k t

h     

   

 , (4)

 –

3 , 0

 .

(1)–(4) -

h0,14

 

t :

 

 

 

 

 

 

 

 

 

 

0,14 0,11 11,12 12,14 13,14

11 12 11 12 14

12 11

13 13 14

14 13 1

1 1 1 1

1

h t h t h t h t h t

t t t t t t t t t t

t t k

t t t t t t

t t

     

 

 

 

 

. (5)

, Ч

(1)–(4) ,

-, k

1 

,

 – Ч

-, . 1.

-:

h(t)

k

0

(5)

t14t21

: h14,21

 

t  0 1

tt14

 

1 tt21

; (6)

t21t22

:

 

      

21,22 21 21 22

22 21 1

1 1

k

h t t t t t t t

t t

  

     

 ; (7)

t22t24

: h22,24

 

t     k

1

 

1 tt22

 

1 tt24

. (8)

, (t23),

-22 23 24

ttt t23t143 , h23,24

 

t

-Ч ,

 

 

23, 24 23 23 24

24 23 1

1 k

h t t t t t t t

t t

    

      

 , (9)

(1)–(9) 1

ttc

tc [12].

(6)–(9)

h14,24

 

t :

 

 

 

 

 

 

 

 

 

 

14,24 14,21 21,22 22,24 23,24

21 21 22 22 24

22 21

23 23 24

24 23 1

1 1 1 1

1

1

h t h t h t h t h t

t t t t t t t t t t

t t k

t t t t t t

t t                           . (10)

(5), (10) -

h0,24

 

t

 

 

 

0,24 0,14 14,24 h th th t

 

 

 

 

 

11 12 11 12 14

12 11

13 13 14

14 13 1

1 1 1 1

1

t t t t t t t t t t

t t k

t t t t t t

t t                 

 

 

 

 

 

21 21 22 22 24

22 21

23 23 24

24 23 1

1 1 1 1

1

1

t t t t t t t t t t

t t

k

t t t t t t

t t                     . (11)

( ) Ч , (11)

-. ,

Ч y t

 

.

Ч y t

 

 

0,24

h t (11). ,

-tt,

(11)

:

1. t11 t t11 t t12

 

    

 

11

 

11

 

 

11 11 12 11

2

0,14 0,14 11,12 12 11

12 11 0,5

0,5

t t t t

t t

t t t t t

k

y t h t dt h t dt t k t t

t t                  

; (12)

2. t12 t t12 t t13

      

 

 

 

 

12 12 13 12 12 12

0,14 0,14 12 11 12,13 12 11

13 11 12

0,5 0,5

0,5 ;

t t t t

t t t t t

t t

y t h t dt k t t h t dt k t t k t

k t t t

                      

(6)

3. t13 t t13 t t14       

 

 

 

13 13 11 13 13 14 13 13 12 11

0,14 0,14 13 13,14 13 11 12 14 13

2

13 14 13 11 12

14 13

0, 5 2

0, 5 1 0, 5 0, 5 0, 5

t t t

t t t t

t t t t t t у у t t t

y t h t d t k t h t d t k t t t k t t

k

t t t k t t t t

t t                                       

(14)

4. t21 t t21 t t22

      

 

 

 

 

21 21 21 21

0,24 14 13 12 11 14,24 14 13 11 12

21,22 14 13 11 12 22 21

0,85 0,15 0,5 1 0,5 0,5 0,5

1 0,5 0,5 0,5 0,5 1 ;

t t

t t

t t t

t

y t k t t t t h t dt k t t t t

h t dt k t t t t t t

                              

(15)

5. t22 tt22  tt23

 

 

 

 

 

 

 

  

22 22 22 22 23 22

0,24 0,24 14 13 11 12 22 21

22,23 14 13 11 12 22 21

14 13 11 12

1 0,5 0,5 0,5 0,5 1

1 0,5 0,5 0,5 0,5 1

1 1 0,5 0,5 0,5 1

t t

t t t t t

t

t t t

y t h t dt k t t t t t t

h t d k t t t t t t

k t k t t t t t

                                              

230,5t21t22

;

(16)

6. t23 t t23 t t24

      

 

 

  

 

 

13 11 23 23 24 23

0,24 0,24 14 13 11 12 23 21 22

23,24 14 13 11 12 24 23 21 22

1 0,5 0,5 0,5 1 0,5

1 0,5 0,5 0,5 1 1 0,5 0,5 0,5 .

t t

t t t t t

t

t t t

y t h t dt k t t t t t t t

h t dt k t t t t k t t t t

                                      

(17)

(12)–(17) k

Ч

11 12 13 14 21 22 23 24

8

arg , , , , , , , 4, , , , 8 1

t

k y k t t t t t t t t t

      . (18)

-

--

-Ч , ,

.

[14] ( Ч)

 

 –

 

 , ,

( ) ,

 

    , . (19)

Ч

 

 [15]

 

         

 

, , (20)

0

 ,

 

 – Ч

( « ») ( « ») . (19),

(20)

0 0, 5 ; 0; 0

               . (21)

(20) (21) Ч, δI

 

Ч

 

 ,

 

I

(7)

, (22) Ч

 

 

      δI

 

 , δI

 

   

1

δI

 

. (23)

,

.

: , , ,

. 2.

 

I

δ  # % 0 5 10 15 20 25 30 50

 

1 I

δ    % 0 5 10 15 20 25 30 50

   

I

δ        % 0 5 19,8 29,33 38,46 47,05 55,04 80

   

1

I

δ      % 0 10,25 21 32,25 44,4 56,25 69 125

     

1

I

δ           % 0 15,78 33,3 52,76 61,32 98,49 125,1 262,5 2.

,

-,

(

-).

Ч , ,

(14) (17), ,

– .

-Ч (14) (17) (23).

(14) (17)

 

 

 

 

 

 

 

I 14

0,14 I I 13 I 13

4

11 I 11 12 I 12

1 0, 5 1 δ

1 δ 0, 5 1 δ 1 δ .

0, 5 1 δ 1 δ

t

t

y t k k t t

t t t t

 

 

 

       

 

    

 

 

  

 

(24)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

I 14 I 13 I 13

0,24 I

8

11 I 11 12 I 12

I 24

I I I 13 I 23

11 I 21 12 I 22

1 0,5 1 δ 0,5 1 δ 1 δ

1 δ

0,5 1 δ 1 δ

1 0,5 1 δ

1 δ 1 1 δ 0,5 1 δ 4 1 δ

0,5 4 1 δ 4 1 δ

t

t t t

y t k k

t t t t

t

k k t t

t t t t

     

 

   

    

 

  

 

           

     



  

 

   

 

.

     

(25)

(24) (25),

4 8 .

, Ч .

t21 4 t11; t22 4 t12; t23 4 t13, -,

.

-

-

Ч

(8)

0, 3

 

0, 0156

1 0, 9844

 

  

( )  t 45 0, 75 , (18)

 

1 0,1451

k  .

 

I

δ  0,1 10% .

1. Ч :

 

1

11 12 13 14

22 23 23 24

0,1451 ; 0, 2 ; 0, 55 ; 3, 0 ; 4, 0 ;

4, 2 ; 4, 55 ; 7, 0 ; 8, 0 .

k t t t t

t t t t

    

   

 

y t 1 . 4,

. 3.

. 4. y t

 

Ч :

я (1); я я (2);

я я (3)

2. Ч ,

, ,

:

 

 

 

 

 

 

 

 

1

I 11 I 11

12 I 12 13 I 13

21 11 I 11 22 12 I 12

23 13 I 13

1 δ 0,1 0,1306 ; 1 δ 0,1 0, 22 ;

1 δ 0,1 0, 605 ; 1 δ 0,1 2, 7 ;

4 1 δ 0,1 4, 22 ; 4 1 δ 0,1 4, 605 ;

4 1 δ 0,1 6, 7 .

k k t t

t t t t

t t t t t t

t t t

           

           

               

       

 

y t 2 . 4,

. 3.

3. Ч ,

, ,

:

 

 

 

 

 

 

 

 

1 1 I

11 I 11 12 I 12

13 I 13 21 11 I 11

22 12 I 12 23 13 I 13

1 δ 0,1 0,1596 ;

1 δ 0,1 0,18 ; 1 δ 0,1 0, 495 ;

1 δ 0,1 3, 3 ; 4 1 δ 0,1 4,18 ;

4 1 δ 0,1 4, 495 ; 4 1 δ 0,1 7, 3 .

k k

t t t t

t t t t t

t t t t t t

 

 

     

 

           

             

               

 

y t 3 . 4,

. 3.

y(t)

1,2

1

0,8

0,6

0,4

0,2

0 1 2 3 4 5 6 7 8 9 10 t

3

1

(9)

Ч Ч k t11 t12 t13 t21 t22 t23 y t

 

t8

1 0,1451 0,2 0,55 3,0 4,2 4,55 7,0 1

2 0,1306 0,22 0,605 2,7 4,22 4,605 6,7 0,8

3 0,1596 0,18 0,495 3,3 4,18 4,495 7,3 1,26

3. y t

 

Ч

-- ,

-, -

-,

.

References

1. Jury E.I., Pavlidis T. A Literature survey of biocontrol systems. IEEE Transactions on Automatic Control, 1963, AC-8, pp. 210–217.

2. Baron S., Kleinman D.L., Miller D.C., Levision W.H., Elkind J.I. Application of optimal control theory to prediction of human performance in a complex task. Proc. 5th Annual NASA-University Conference on Man-ual Control. Cambridge, 1969, pp. 367–387.

3. McRuer D.T., Krendel E.S. Mathematical models of human pilot behavior. AGARD, Tech. Rep. AGARD-AG-188, 1974, 84 p.

4. Sheridan T.B., Ferrell W.R. Man-machine systems: information, control, and decision models of human per-formance. The American Journal of Psychology, 1975, vol. 88, no. 4, pp. 703–707. doi: 10.2307/1421912 5. Tsibulevskii I.E. Chelovek Kak Zveno Sledyashchei Sistemy [Man as a Unit of Servo System]. Moscow,

Nauka Publ., 1981, 288 p.

6. Zaitsev V.S. Sistemnyi Analiz Operatorskoi Deyatel'nosti [System Analysis of Operator Activity]. Moscow, Radio i Svyaz' Publ., 1990, 119 p.

7. Shipilov A.I, Shipilova O.A. Vysokaya rabotosposobnost' personala – zabota kadrovika [High availability of staff - care personnel officer]. Kadry Predpriyatiya, 2003, no. 3, pp. 7–15.

8. Efremov A.V., Ogloblin A.V., Koshelenko A.V. Zakonomernosti kharakteristik deistvii cheloveka-operatora v zadachakh nepreryvnogo upravleniya [Regularities of the characteristics of operator actions in problems of continuous control]. Vestnik Komp'yuternykh i Informatsionnykh Tekhnologii, 2006, no. 7, pp. 2–10.

9. Sebryakov G.G. Kharakteristiki deyatel'nosti cheloveka-operatora v dinamicheskikh sistemakh slezheniya i navedeniya letatel'nykh apparatov [Characteristics of operator activity in dynamical systems of tracking and aiming of aircraft]. Vestnik Komp'yuternykh i Informatsionnykh Tekhnologii, 2007, no. 11, pp. 2–8.

10. Pupkov K.A., Ustyuzhanin A.D. Optimizatsiya vzaimosvyazi cheloveka i tekhniki pri upravlenii kosmicheskimi ob"ektami [Optimizing the relationship between man and technics in managing space ob-jects]. Materialy 17 Sankt-Peterburgskoi Mezhdunarodnoi Konferentsii po Integrirovannym Navigatsionnym Sistemam [Proc. 17th St. Petersburg Int. Conf. on Integrated Navigation Systems]. St. Petersburg, 2010, pp. 238–240.

11. Sebryakov G.G. Modelirovanie deyatel'nosti cheloveka-operatora v poluavtomaticheskikh sistemakh upravleniya dinamicheskimi ob"ektami [Simulation of the man-operator activities in semi-automatic control systems by dynamic objects]. Mekhatronika, Avtomatizatsiya, Upravlenie, 2010, no. 4, pp. 17–29.

12. Besekerskii V.A., Popov E.P. Teoriya Sistem Avtomaticheskogo Regulirovaniya [The Theory of Automatic Control Systems]. St. Petersburg, Professiya Publ., 2003, 752 p.

13. Franks L. Signal Theory. Prentice-Hall, NJ, 1969, 318 p.

14. Kalmykov S.A., Shokin Yu.I., Yuldashev Z.Kh. Metody Interval'nogo Analiza [Methods of Interval Analysis]. Novosibirsk, Nauka Publ., 1986, 222 p.

15. Dudarenko N.A., Polyakova M.V., Ushakov A.V. Formirovanie interval'nykh vektorno-matrichnykh model'nykh predstavlenii antropokomponentov-operatorov v sostave slozhnykh dinamicheskikh sistem [Formation of the interval vector-matrix modeling representations of anthropocomponents-operators as a part of complex dynamic systems]. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2010, no. 6 (70), pp. 32–36.

С а ваМа яВя ав в а – , , ,

-, 197101-, , 12noch@mail.ru

У а вА а В а в – , , ,

, - , 197101, ,

79214215187@ya.ru

Maya V. Serzhantova – PhD, Associate professor, ITMO University, Saint Petersburg, 197101, Russian Federation, 12noch@mail.ru

Referências

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