2009年9月
Contents
1. 46 10 2 0 NSN3 XK 1 5 NSN2 2 1 0 A EE O D 0 0 10 8 10 7 10 6 10 5 10 4 10 8 10 8 10 MeV 4 12. 2008 1
3. In order to realize stable supply of energy toward low carbon society Smart Energy aiming more efficient quality and reliable energy usage is eagerly expected Fuji Electric has challenged these energy issues for many years and has made positive contributions through technology and product development With regards to supply and demand control of distributed energy Fuji Electric has involved in the research and development project of regional supply and demand control that incorporates photovoltaic wind power and biomass generation For distributed power supply systems electric power stabilizers have been developed and used in practic
4. TPMS Tire Pressure Vol 82 No 5 2009 Monitoring System
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8. DCS PLC C 3R oO le lt 5 gt UNIX The Open Group 6 gt Linux Linus Torvalds lt 7 gt VB Microsoft Corp
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11. 2 1 ISA100 1 1a ISA The International Society of Automation TI1SA BS 100 114 2009 4 ANSI NE 0 et 0 m MM WCI Mbits s 1 Mbits s 1 ee Wireless Compliance Institute Sci J I ISA 100 WCI J tt
12. PLS 8 Windows 65 We lt gt Windows Microsoft Corp rl MHD Fh Mri nierret Eramimamr a ri tf rin ei kd We lorm THA
13. BFS lt Newton Raphson 10 1970 PLC Power Line Com 3 DG
14. 5 Nunomiya T et al Proceedings of 11 International Con gress of the International Radiat Prot Dosim Protection Association Madrid Spain 2004 5 p 23 28 6 Nunomiya T et al Proceeding of the 10 Neutron Dosumetry Symposium Progress in dosimetry of neutronSs 48 Vol 82 No 5 2009 Environmental Automated Measuring Systems for Flue Gas Yusuke Nakamura Hideo Kanai Noritomo Hirayama
15. 2 ETC I a fF ea a LS 3 1 4 1 5
16. 2 3 8 2020 15 2014 200 10 3
17. 1
18. 3 9 I O 3 5 a 107FA EPE A MA MA 2 1 1 a Tf BS
19. MSPC Multivariate Statistical Process Contro MPC Model Predictive Control MSPC MPC MSPC MPC MPC
20. 1 V 2 28 1 IT
21. OO ISA 58 Vol 82 No 5 2009 Intelligent Field Devices for Development of Automation Systems Mitsunori Fukuzumi 1 Hideyuki Odaka Masafumi Nakagawa
22. 1 1
23. 1 OECD IEA World Energy Outlook 2008 2 2005 vol 78 no6 p 423 430 3 21 6 67 4 2009 3 Wi 12 4 Fukuyama Y Hsaio Dong Chiang Fast Distribution Power Flow Using Multi Processors Journal of Electrical Power amp Energy Systems 1996 vol 18 no 5 p 331 337 5 Naka S et al Practical Equipment Models for Fast Dis tribution Power Flow Considering Interconnection of Dis tributed Generators Panel on Challenges on Distribution systems IEEE PES Summer Meeting 2001 6 Naka S et al A Hybrid Particle Swarm Optimization f
24. WB 4 3 3 1 1 gt
25. PF Platform PF BPR Business Process Re engineering NT PF PF PF 1 BPR
26. PLC CSIL3 MICREX NX Safety SIL3 FCX AW STL2 CS I PE SIL
27. 6 5 10 3 2010 1 500 kl GreenUSE
28. 2 PLS PLS Partial Least Squares 1983 Herman Wold Svante Wold PLS PLS
29. MICREX SX PC 1 C C SPH3000 C
30. 9090 IE OS 10 KRIFF A 3 Ethernet 11 CPU 5 MEMS BEANS Bio Electro mechanical Autonomous Nano Systems 11
31. Vol 82 No 5 2009 Modeling and Control lechnology for Improving Product on Efficiency and Quality Tohru Katsuno Kouji Matsumoto Tetsuro Matsui PLC
32. gt 3R 6 GR GUI PIM PC 3 GUI EiIRISTINNK AN MINI WU
33. 8 XML 7 XX XXX o XXX o 8
34. 42 le 2009 4 432 52 66 TAEA 2008 9 2007 2030 30 100 2008 7 5 a b c d
35. 4 1 5
36. 2 8 NTT a
37. EC 61508 A es ER
38. 1 JIS 2009 vol 52 no 2 p 64 67 2 7 488 2009 vol 37 no 5 p 4 7 3 Peter W et al Near and mid infrared laser optical sensors for gas analysis Optcs and Laser in Engineering 37 2002 p 101 114 4 ZSS 2008 vol 81 no 2 p 179 182
39. FDT DTM ee 3 2
40. C 4 4 BPR PF BPR 4 5 3R 3R MDA PIM PSM PF 9 GR
41. 1 1 Vol 82 No 5 2009 1 ee o o IP o
42. Ce US 1
43. 4
44. UHF RFID
45. 1 o o o o 17 Vol 82 No 5 2009
46. 2 3 3 1 PE C PE MICREX NX PE 3 2 Windows PLC SCADA Supervisory Control And Data Acqui sition System PLC SCADA
47. 3 CO NO SOx 4 ICT Information and Communication Technology
48. 6 15 7 2 8 310x200 mm 8 25 2 4Bq cm2
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50. 8 PS 000 BA Em EC J mA ws Ng FeMIEL MEMS 18 2 3 1
51. 2 3 RI
52. Ethernet FDT DTM FDT 3 1 FDT DTM FCX FDT DTM 3 56 Vol 82 No 5 2009 4 0 i He pr oo o oWeb o Web L 1 Web
53. lt 5 1980
54. PEDavg HFT Hardware Fault Tolerance HFT HEFET 1 HFT 1 M
55. 4 4b TT YY MEMS MEMS CMOS ss 5 IEC FDT DTM Field Device Tool Device Type Manager EDT DTM
56. le 2 1 8 a I b c d e
57. 1 DCS Distributed Control System 1
58. TEC H 10 1 1 PC oo 1 2 GE DST 43 Vol 82 No 5 2009 CE el ee 2 C d Cow2 oo 3 slow1 Ge ecgDdg SS 4 ReaCEDGCEDAE 1Mev 1Mev 10 EB E dE EE 5 Ryow EPE dE thermal 10 CE RCE h 10 E ICRP 74 Ci 1 C 3 2 02 k c d fast slow thermaD
59. MPC MPC CA CB CC 1 MPC
60. 9 PH o et EE o i rs oo Ee 29 Vol 82 No 5 2009 3 2 1 2 SIL Safety Integrity Level 69 1 69 2
61. 3 LD 3 3 1 SFF Safety Failure Fraction DC Diagnostics Coverage 2 a FCX AHMT
62. 2 1 50 1 oO 669 ppm OSOp 1 030 mg m3 360 ppm OHCI 50 ppm OO 7 5496 O 10 9 m s Oo 130C Go 12 3 mh 3 1 1
63. ee Ba le 2 1 DC4 20mA DCS Distributed Control System
64. 7 HCI Flue gas regulations have been enacted into law in order to prevent ar pollution in countries such as japan Europe and China With a conventional type continuous fue gas measuring System consisting of a Sampling type gas analyzer that samples fue gas and performs pre processing the realization of long term stable measurements has encountered such problems as requiring the removal of blockage or contamination in the samplng pipe periodic calibration of the analyzer increased power consumption of heating tube and so on Fuji Electric s simultaneous seven Component measuring gas analyzer uses cross stack laser method for HCl measurement and is capable of overcoming the above problems Fuji Electric is also advancing research and development so that the cross stack laser method can be used for measuring other componentS lil
65. 4 S Si pn y IEC IEC 61526 100keV 4 5MeV 50 150 50
66. IT 2 2 1 IEC TC8 TC59 TC65 TC95 HART Communication Foundation WirelessHART 1ISA International Society of Automation SP100 ISO 12100 IEC61508
67. Vol 82 No 5 2009 Green Socio Automation to Realize a Comfortable Society Kouichi Kawajiri Hiroyuki Hirayama Yutaka Fueki
68. CO 1990 2050 50 1 2009 http www metl go JD polhcy econormy grutsu_kakushin kenkyu_kaihatu str2009 html 2009 08 26 2 Japan 2015
69. 4 100 C Vol 82 No 5 2009 30m 50m 50 HCD NO SO CO O 4 000 VA
70. 2 2 100 2
71. 3 2 a 4 2
72. 1 TEC 61158 2007 11 Industrial communication networks FieldbusspecificationS 2 IEC 61804 2006 9 Function blocks FB for process control 3 FDT Group org FDT Technical Description 4 2009 vol 82 no 5 p 22 27 MA 3 Vol 82 No 5 2009
73. b 7 2 lt 3 oO 8 I RFR Vol 82 No 5 2009
74. MEMS MEMS 3 MEMS 3 1 6 MEMS rn OO RMI ND MM I Ti Al yy 4 Ml Til 66 MEMS 7 SiO SiaN
75. 4 MEMS 7 NE bs 52 4 5 PH 6 1 Si 65 Vol 82 No 5 2009 MEMS 2 4 MEMS 4 2 200 x 200 Cum 400 x 100
76. 2 6 940 3 51 x 10 h 475x10 h 600 1 47 x10 h 1 98 x10 h 147x10 h 755x10 h HFT 1oo1 9 1 PFDavg SIL 3 SIL 3 a
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79. 10 100 1 000 10 000 1 4 4 4 a b c d
80. SCADA 3 PF lt 1 gt Windows Microsoft Corp SR es i eT EA EA B E BYNES A DTM J EN C3 IA
81. 41 Vol 82 No 5 2009 Radiation Monitoring Instruments and Systems that Contribute to Safety and Security Takeshi lshikura Toshiaki Fujimoto Katsuhito ito
82. 7 10kg CHe n p G CE amp CEdE PIGDAL 8 h E RCE DL G LD dL EC i EE 6000 RR 9 PCLD Ag L EdE eee 10 7 h E CE P L 7 G R E L G 4kg
83. 3R 1 2 50 3 50
84. PMO 27 Vol 82 No 5 2009 Safety Control Solution that Protects Onsite Safety Akihiko Kohanawa Masami Hasegawa Shigeharu Kanamori SIL 3
85. XML Extensible Markup Language 1 3 66 1
86. 63 Vol 82 No 5 2009 1f MEMS MEMS Sensor Technologies for Intelligential Systems Shinichi Souma Hironobu Yao Masahiko Takei 20 MEMS Micro Electro Mechanical Systems MEMS BEANS For over 20 years Fuji Electric has advanced the commercialization of sensors and other products that utilize MEMS Micro Electro
87. 7 Ethernet IP FDT DTM field Device Tool Device Type Manager 6 4 2008 2010
88. 1970
89. TEC 62061 IEC 61508 1 7 SRECS Safety Related Electrical Control System lool SIL 1 7
90. 4 2 IEC 61508 Xa VW ESD PFD SIL 1 3
91. 8 PID MPC MPC PID 11 4 38 4 MSPC MPC MSPC MPC MPC PLC MSPC MPC 1
92. 4 17 0 4 01 MIXCREX NX Safety 05 D Diagnostics b
93. TE Fuji Electric provides the solution for management problems on planning and control of automation systems with On site Visualzation of field information Intelhgent field devices with Key function such as On site Visualization are consisted of technologies of every kind These technologies are network measurement and control electronic and embedded software safety and down sizing and power Saving Fuji Electric realizes Automation Systems with intelhigent field devices in the fields of smart energy safety Industries and green SOC10 11 TO TCO
94. O JEAC9701 DG Vol 82 No 5 2009 4 IFeTOP FeTOP o oO _ o 9 o o 4 ee munication
95. CEMS Continuous Emission Monitoring System CEMS CEMS 10 7 2
96. 3 3 1 IEC 61508 16 IT
97. 1 JIS C 0508 2003 11 2 ARC Process Safety System Worldwide Outlook Market Analysis and Forecast Through 2012 2008 3 2009 vol 82 no 5 p 28 34 4 2009 03 A La
98. 1 2006 vol 79 no 3 p 243 247 2 2006 vol 79 no 3 p 270 273 3 Stephen M et al Principles of Model Driven Archi tecture MDA Distlled Addison Wesley Professional ISBN 0 201 78891 8 2004 4 J2EE MVC Web Java 2002
99. a b c d ICRP e fF g a c 3
100. NO NO SO 4 000 8 000 nm 2 NO NO SO HCI NHs CO COs CHA HCI NHs CO COs O2 CH4 HsO NO NO SOs NH HCI 2 4 1 5 0 5 g Nm 30 g Nm m 1 4 1 53 1 O
101. lt 1 gt RoHS EU 5 IT
102. _ PVD CVD TEoS CP RIE 1 1 6 130 kPa 6 MEMS
103. i ed b o IT o 1 o 0 i a 2 9KR HMI Human Machine Interface Reduce
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107. I5 5 1 7 100m 2 4 1 62 8 PC LAN RS485 300 m AE LAN 1 30
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109. 1 100 3 1
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111. MPC CPU 4 6 MPC 5 3 MPC MPC MPC PO MBC PTC MPC MICREX SX D300Win PB PLC MPC MPC
112. 2 2 2 1 1 Vol 82 No 5 2009 1 SSS DOS O
113. MEMS CMOS MEMS MEMS 6 MEMS MEMS 67 Vol 82 No 5 2009 MEMS MEMS
114. N C N C TEC 60204 1 JIS B 9960 1 3 4 1 2 Sw
115. Requests for qualhty and safety in automation Systems have recently intensified more than ever Using advanced modeling and control technologies these are actively worked to overcome the challenges in Fuji Electric A multivariate statistical process control and quality Simulation package which is able to diagnose anomales in a manufacturing process and estimate product quality and a proprietary disturbance observer are being developed and installed in general purpose PLCs used for model based predictive control These modeling technologies and products will contribute to the realization of more advanced manufacturing and process automation 1 2 PID PID H co
116. 3 MPC MPC PID PLC MPC MPC 3 1 MPC PID
117. ID VPN Virtual Private Network OS e Mail Web Web 5 CC 3 3
118. 5 1 1 0 085 eV 15MeV 5096 100 keV 4 5 MeV 5
119. t WP WX 3 9 Ot OW Pe We 4 x t 1 W P O r 4 PLS PLS Vol 82 No 5 2009 3 PLS CC PLUS
120. 4 5 3 2 16 6 CIHR 5
121. ert i r 3 SS 3 o API gt API oO iFIX o Citect o Intouch o WebACCES 8 SX OPC OPC OPC 2 AX Bi BN FT Ta 24 PF PF a OS Operating Stem UN us Win dows b C VB net Java c 64 64 d 100 000 4 GR
122. Oo 21 Vol 82 No 5 2009 08220 2 Control System Platforms for Improved Productivity and Quality Shinichiro Mori Fumihiko Hirose Toshiyuki Sasaya PE PE Reduce Reuse Recycle 3R PF PF In order to improve the productivity and quality of control systems Fuji Electric is constructing control System platforms PFs consisti
123. 2 lt gE RT 0 3 00 RE 76 18 Red37 70 oO OE Ol 100
124. 2 1 2009 a IT IT b Tapan 2015 1 c 2006
125. Vol 82 No 5 2009 2 25 100 429 5 MHz FCC Federal Communications Commis sion PART15 915 MHz 3 3 6 7 8
126. ETC 2 1 3 2020 a b c d e 1
127. JIS JIS C 0508 2000 JIS C 0511 2008 GB 2008 8 000 500 1500 1 800 3 a b c a b
128. 4 4 7 3 3 37 Vol 82 No 5 2009 PLS 30 3 3 PLS
129. IA SA SA am 23 Vol 82 No 5 2009 SCADA PF API Application Program Interface PF 1 Web Web Web 2
130. ss ISO IEC 13 Vol 82 No 5 2009 2 3 IT o o 800 2012 So
131. y 2 MEMS SR gt He oa SN MSSSS RS SN SN 3 A ha Fi Ja ww JE 40 6 3 21 9 10 6 1 3 5 7 9 11 10 82 5 858 e Front runners 07797 9 735 700
132. AWWWM a 4 10 30 20 10 90 3 3 BFS Backward Forward Sweep
133. RAS Reliability 54 Avilability Serviceability CPU ee I More
134. b EMC c CPU a 3 33 Vol 82 No 5 2009 6
135. MEMS 2 MEMS MEMS MEMS E22 H H 0 64 MEMS
136. 2 6 DV DD mom oooDn 0108030405060708080 100 step 50 60 70 80 80 100 step 1 4 0 10 80 30 40 50 60 Z70 80 80 100 SteD 7 MICREX SX MPC 1 3 MV MPC Eee 3 2 PLC
137. 1 2 ee 1 a USPC 1 2 IVISIdm NII 1 b MSPC MSPC MSPC PCA Principle Component Analysis PCA O 7 O AN O x zl
138. 2009 02 4 3 2006 03 5 MEMS 2008 voL81 no 5 p 358 361 6 2008 vol 81 no 5 p 375 378
139. 191 0065 9 4 042 585 6965 FAX 042 585 6539 191 8502 1 042 587 5555 101 8460 1 03 3233 0641 6 20018 2009 Fuji Electric Holdings Co Ltd Printed in Tapan 70 e Front runners C e Front runners e Front runners environment enrichment evolution C 3 o e
140. MEMS PI CS MEMS MEMS 2 MEMS MEMS 20 2 MEMS 2000 2000 2005 2009 2010 2015 2025 MEMS BE MEMS MEMS
141. 1 29 1 52 6 2 Vol 82 No 5 2009 7 4 000 8 000 nm NO NO SO 7 300nm SO 7 SO EN 6
142. 2000 VA 4 4 2 6 2 40 I5 700 2 000nm
143. 4 TD 5 jc 51 Vol 82 No 5 2009 2 AP 4A A
144. 4 2 ly 3 4 1 2 1 7 7 C 2 5
145. PBL Project Based Learning 1 Vol 82 No 5 2009 Current Status and Prospects of Automation Technology IMotofumi Matsumura Kenichi Kurotani 6 3R
146. Safety Industry Automation for Realizing Safe and Secure Manufacturing Junichiro Saito Ken Kakizakai Masuyuki Kobayashi gt Fuji Electric aims to supply proprietary safety solutions not only that provides the traditionally requested safety technology such as higher relabihty and higher quality but also that meet international safety stand
147. Vol 82 No 5 2009 4 ais Y HY 1 NE IG BT Ci i Iai BD i les FF 1 1 1 Ct i j ah Hi W
148. 1 34 2009 vol 82 no 5 p 13 16 2 2001 01 3 2009 vol 82 no 2 p 133 139 4 1069 5 vol 50 no 1 0
149. 5 EV Electric Vehicle RoHS REACH EV 3 2 1 22 REACH EU 4
150. JIS 2 2010 ISO 9000 TISO 14000 ISO 50001 RoHS 9 MEMS Micro Electro Mechanical Systems 4 1990
151. 15 Vol 82 No 5 2009 6 o o o Wi o o o o TE 2 o o SIS Safety Instrumented System SIS STF Safety Instrumented Function SIS STL SIL SIL 1 4 4
152. DB 25 Vol 82 No 5 2009 4 2 3R PF 7 MVC Model View Controller 3 a 5 c 8
153. ial Vol 82 No 5 2009 b c d 0 64 4 096 2 Web
154. 2oo3 loo2 6 e PFDavg SIL PEFDavg SIL OD 5 MICREX NX Safety E 5 WW 1 2
155. 5 BEMS 4 6 1 1 3 SI FarfrM Web lm Sm _ i web mp EE I F MPCO4P FeMIEL 5 FeMIEL o PT CT O oO o RS 485 0 o CO oO 9 L Ethernet gt o 48mm 0 Oo 1 5 o DO RE A BA 19 Vol 82 No 5 2009
156. 31 96 0 14Bq cm2 17 0 19 Ba cms LL 1 2 9 JIS 3 3 6 Ws 150 cm 300 cm a b BG 0 1uSv h c 10x10 cm 8 CD 4 2
157. 3 6 JRSM 1 2009 2 Energy Electricity and Nuclear Power Estimates for the Period up to 2030 IAEA 2008 3 2008 vol 50 no4 4 IAEA http www iaea org Publications index html 2009 06 29
158. 5 1 Cs 4 44 TBq 400 mSv h 4 4 a b c 8 d 47 Vol 82 No 5 2009 mSv h 4 44 TBq 0 400 370 GBq 3 7 GBdq 0 2 2 5
159. 3 SCADA iFTX CitectSCADA InTouch SCADA 4 I O 3 3 lt 2 gt iETX GE lt 3 gt CitectSCADA AEG Schneider Automation International lt 4 gt InTouch Invensys Systems Inc 3 PF SCADA
160. 1 1000 100 10 1 WE 61 Vol 82 No 5 2009 6 a 2 3 1 23 2 ch 18 54 2 ch O 901 3ch O O2 7 am i am De an An a 100 m 2 100 1 18 3 50 1
161. 3 1 1 200 2
162. O DG O DG O ODG ODG ODG DG ODG O DG DG DG DistriDuted generator ODG O O DG O O DG
163. CBluetooth ICT 3 2
164. MEMS 1 2009 07 27 vol 48 no 7 p 537 541 2 B 2007 volJ90 B no 8 p 711 719 3 The ISA100 Standards Overview amp Status http www 1sa org Content Microsites1134 SP100 _ Wireless_Systems_for_ Automation Home1034 ISA100_ Overview_Oct_2008 pdf 2009 07 02 4 IEEE802 15 4 2006 Part 15 4 Wireless MAC and PHY Specifications for Low Rate Wireless Personal Area Net works WPANs 2006 5 Zigbee Alliance HP http www zigbee org 2009 07 02 6 IEEE802 15 4g https mentor ieee org 02 15 dcn 09 15 09 0285 00 004gmac and phy proposal for 602 15 4g for smart utility networks 2009 07 02 7 2000 vol 73 no 6 p 326 329 8
165. 2007 50 d a b 3 IT c 2015 2 Vol 82 No 5 2009 Tapan 2015 2015 Digital Inclusion Digital Innovation
166. Ea Web LAN f e d c 3 4 o o 1
167. a I FCX HART Foundation Fieldbus Profibus o 5 TEC FDT DTM FDT DTM HMI Human Machine Interface FDT DTM FCX DTM FDT
168. 2 1 5 Si Si F3U CCe MEMS 1um 3 MEMS EET ED RS gt lt gt G 1 MEMS
169. EcoEASIEST 2000 vol 73 no 6 p 337 341 9 2007 2007 B 21 22 IN IN2008 155 p 139 144 1 C 2008 vol 128 no 12 p 1761 1766
170. PST Partial Strolke Test PST 1 PEDavg 1 213x10 1 PST 876x10 PST OCOD 6 1 32
171. 2 2 SPC Statistical Process Control SPC USPC Univariate SPC USPC 1 35 Vol 82 No 5 2009 1 USPC MSPC
172. 100 UM De Re lt 28 WS R S 2 A D A 0 O07 sa ER ee 3 0015 2 07220 0 IE IES
173. 8 RY a 0 2ms 5 CPU AND c a
174. 2 eSC 58 4 9
175. MEMS 10
176. Fuji Electric ls working to develop methods for utilizing and monitoring radioactivity In the monitoring field Fuji Electric is developing and providing personal dose monitoring systems survey meters and the like for use at newly constructed nuclear power plants and at an increasing number of worksites that use radiation As personal dose monitoring systems Fuji Electric provides a dose monitoring System capable of wireless real time monitoring of doses detected with a semiconductor based personal dosimeter and a body surface monitor for use when entering or exiting a radiation controlled area Additionally using a survey meter to measure the environmental radiation surrounding a radiation handling facility and then sharing that data with local governments and disclosing it to the public Fuji Electric also provides systems and survey meters for realizing safety and security for the local population lil CO
177. PID MPC MPC PLC 8 MPC 5 O C 0 fens 0 50 100 150 200 0 D5O 100 150 200 8 8 a PID b MPC 40 3 3 MPC FPD Flat Panel Display PID MPC
178. PC ee gt se El DCS PLC O 1 k Il 10 3 10 a io IN s Vol 82 No 5 2009 2 o o 5 2 CO o o o o o o o o o
179. 4 47oo NN M M out of N 1oo3 PFH Probability of dangerouSs Failure Der Hour PFH 1 PL Performance Level PL ISO 13849 1 PL a e 5 e SIL 3 1 HFT 2
180. 8
181. e CRP IAEA ICRP 2007 ICRP IAEA Vol 82 No 5 2009
182. TISA 100 11a 2 2 IEEE 80g 15 4gSUN IEEE 802 15 PAN Personal Area Network IEEE 802154 ZigBee 1EEE 802 15 g 60 3 SUN Smart Utility Net works 1EEE 802 15 g Ve 3 3 ES 3 1
183. 9 o o o DB 509 a Vol 82 No 5 2009 PIM 9 3R
184. 2 lt 26 Web 4 3 GR RR EX PF
185. 2008 10 ISA Expo 2 59 Vol 82 No 5 2009 1 1985 1995 2000 2005 2010 2015 LAN m PAN m 10m 1m LAN PAN FAMDAS PAN Wireless HART Al lel T oD ISA100 11a IEC FA UHF C 1Gen2 EPCIS EPCglobal ISO IEC 18000 Ds EcoPASION TPMS 2 ISA100 Expo 2G008 8
186. Power MEMS FDT DTM Vs EMI 2
187. UNIX lt 10 gt MDA Object Management Group OMG 5 SR SR PF 5 GUI 5 PIM PF 6 3R GUI 3R PC
188. 8 gt net Microsoft Corp lt 9 gt Tava Sun Microsystems Inc 4 3 PIM Platform Independent Model PSM Vol 82 No 5 2009 4 a MDA Model Driven Rhett PF a PF PIM Platform Independent ModeD b PIM TEC XML C PE PSM Platform Specific ModeD c PIM PSM RE EP WIDE 4 1 3R
189. FeMIEL FeMIEL a 1 b CO c 5 1 d Ethernet RS 485 2 4 0 D gt 1 1 2 3 4
190. OO OOOO IP 2
191. PLC MICREX SX STL SIL SIL 4 c 5 MICREX NX Safety TUV SUD SIL 3 CPU LO q 2
192. TPMS 9 300 MHz 4 TPMS 6
193. O O 4 0 mA O Oo oO N 0 RAS Je O oO OHW Oo O O PID PID gt O MEMS MEMS MEMS OMEMS RE OMEMS MEMS
194. 3 4 FiTSA OS Linux 1 2D RF ID 20 SQL OPC MES Manufacturing Execution System FOMA
195. 57 Vol 82 No 5 2009 5 C 6 FB Function Block 2 MICREX SX Ethernet FL net 1 O DeviceNET OPCN 1 FDT DTM
196. IT http www kanter go JD p sin g1 1t2 kette1 090706honbun pdf 2009 08 26 http www meti go JD polhcy economy gijutsu_kakushin kenkyu_kaihatu 19fy pj 19fypj html 2009 08 26 CIGRE 4 7 Vol 82 No 5 2009 Autormation for Realizing Smart Energy Katsuyuki Ooike Kazuhiro Oohashi Yoshikazu Fukuyama
197. 2 4 HAZOP Hazard and Operabilhity Study 4 3 IEC 61508 TEC 61511
198. 1997 vol 70 no 10 p 522 527 9 2009 dl Tange Y et al A Multi variable Disturbance Observer for Model Predictive Control Proc 17 Mediterranean Conference on Control amp Automation Thessaloniki Greece 2009 p 656 861 2 R K Wood M W Berry Terminal Composition Con trol of a Binary Distillation Column Chemical Engineering Sclence 1973 vol 28 p 1707 1717
199. Ri o MEMS o o o o o o o oO O o o O O ISO 5000 1 o ee o o o CO NO SO o ISO 14001 o ICT
200. 8keV X 1 5MeV y 13 4 3 Si 14 ga 8 13 le e 14 JIS Z 4511
201. f Vol 82 No 5 2009 2 2 3 2 2 A UL a
202. IC HEF 32 10m b UHF 100m c 4 1 1IC ICT 2009 06 2 2008 09 3
203. 11 Vol 82 No 5 2009 Main Gate 3 3 SIL Safety Integrity Level 4 EMS ISO 50001 2010
204. 42 49 54 59 MEMS SIL PFDavg PFH PL 64 69 2 5 DA A NN 0 A 0 eK 2 IS KG 0 2 20 la 2 3 9 2 5 6 5I re 21 le
205. 5 MPC 1 38 d G PG w L PG oz lt HIP G oO ene 5 GO Ck 7 0 2 1 7 0 7 0 lt PLCO 6 6 0 oa limCP U CD lims CP Cs Us lim Pa 0 e
206. 8 400 C ms MEMS AC
207. 9 Vol 82 No 5 2009 3 3 1 1 NEDO FS
208. o _ 1 1 6 39 Vol 82 No 5 2009 1 PLC MPC MPC PLC MICREX SX PLC MPC CPU NE MPCO CPU MPC 2 MPC MPC PC
209. Efforts to establish safety standards and address safety in Japan have become more active as a result of the international standardization trends toward functional safety and machinery safety Fuji Electric is developing a safety control solution that combines global standards with basic technologies acquired from our experience with system controls to realize high reliability and a high availability rate With risk reducing measures based on risk assessment Fuji Electric can provide a safety related system having a safety integrity level of 3 SIL 3 For steel coil transportation systems a wide range of choices are available for the circuits and components according the required safety level For power systems highly reliable numerical protection relays help to maintain a stable supply of electric power lil JIS na
210. HFT N M 3 1 2 MooN HFT 1 MooN HFT 1 1po1 1 1oo 2 1 69 FO e Front runners AR MOSFET
211. lt gt SIL 69 1 Vol 82 No 5 2009 4 Es SIL o o oc o SIS o o o o oO i o 4
212. 1 PCA O O O 7 t 2 FT 2 0 6 SE ES ER EE EEE 868 8 EE i i 2 m 1 oo 7 Se 36 2 3
213. 5 A B ID lo a gt B 4 1 5
214. 7 _ MEMS 1 8 SEM SiOs _ 116 74 1 0 um Vol 82 No 5 2009 MEMS 9 3 2 MEMS MEMS 9 MEMS 9 4
215. C 2 4 oc 4 Poc7 7 7 1 C PO 2 4 3 6 6 ppm im Dpm 0 5 ppmHC1 05
216. Wireless Network TIechnology for Automation Systems Takaaki Hatauchi Yoshikuni Kobayashi Junichi Machida ISA100 11a IEEE802 15 Fuji Electric provides automation Systems that utilize various wireless network technologies for such applications as monitorin g measurement and automatic meter reading A prototype product that uses the ISA 100 11a wireless standard is also being fabricated for process control applcations An access method using a mesh network with
217. 10 2 kg 1 4 11 213 4 2 X Vol 82 No 5 2009 11 12 G 1 000 100 100 oe 8 8 S 10 1 5 ES 1 HO0 1 O 0 1 0 01 O 001 0 01 0 1 1 10 MeV 1 Nal TD 8keV 8keV 1 5MeV 8keV 1 5MeV G 12 G
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219. RI MEMS 2 REID TPMS ee 3
220. SO 0 50 ppm S02 0 50 ppm S02 0 500 ppm NO 0 50 ppm NO 0 50 ppm NO 0 500 ppm CO 0 50 ppm CO 0 50 ppm Os 0 25 CO 0 20 CO 0 2096 Os 0 25 0 0 2596 0 1 000 0 100 0 100 mg Nm mg Nms mg Nms HCI 0 1 000 HCI 0 50 HCI 0 50 mg Nm3 mg Nm mg Nm o o o NO 3 1 NOJ SO O HCD
221. SG ear ol 1 20 a Ey 9 TPMS 5 2 FFT 8 1 2 5 3
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223. es ES SIL MES Part11 IT Ee 3 2 4
224. 3 IEC 615 6 50 100 keV 4 5 MeV NN QU amp K R A 1 0 2 0 3 0 4 0 MeV 4 44 3 100 keV 45 MeV IEC 49 41 4 1 3000 2 3 2
225. 3 7 GBq 0 02 0 25 370 MBq O0 001 0 025 37 GBq 0 55 14 3 0MBq O 02 0 12 370 GBq 69 37 GBq 6 9 90 Sr 74 MBq 100 nf 1 200 MBq nth 0 35 BG and light nuclei Uppsala Sweden 2006 6 p 12 16 7 2008 8 Ito et al DEVELOPMENT OF LARGE AREA PLASTIC I6 SCINTILATION DETECTOR FOR RADIOACTIVE CONTAMINATTON MONITOKR IRPA12 2008 6 9 JIS Z 4388 2006 0 IEC 61098 2003 2008 164588 2 43
226. FEMEDA Failure Modes Effects and Diagnostic Analysis 4 pu PFDavg average Probability of Failure on Demand 69 1 PFDavg TUV SUD SIL 2 SIL 3 Ae 5 EN 954 1 Cat 3 30 ISO 13849 1 PLd IEC 61508 c
227. MEMS Vol 82 No 5 2009 SIL PFDavg PFH PL SIL Safety Integrity Level SIL IBC 0I508 SIL 1 SIL 4 4 SIL SIL PFDavg PHF SIL 2 100 1 000 1 PFDavg average Probability of Failure on Demand PFD PFD
228. TID ID 5 TIO UL 4 2 RFID
229. i 3 2 Web 4 RAS SOAP Simple Object Access Protocol XML Extensible Markup Language
230. 10 100 100 30 115 30 PLS 4 PLS
231. 2 2 3 a MEMS Micro Electro Mechanical Systems b c
232. 4 5 3R 6 SI YJ Do 5
233. Aiming to realize a green society which can be defined as a society that leads a comfortable lifestyle in harmony with the environment Fuji Electric uses sensors wireless networks wide area distributed systems and the like as core technology to provide environmental and energy savings solutions as well as safety and security solutions For the environment and energy savings Fuji Electric s Solutions enable the amounts of energy usage and waste to be visualized and provide energy Saving solutions such as merchandise of GreenUSE For safety and security Fuji Electric s solutions provide food safety proposals such as cultivation history management for agricultural products production history management for food products location management for emergency medical treatment and so on aiming to realize a green Soclety 1
234. SiC GaN aXc c CO 2
235. 3 2 4 PDA Personal Digital Assistants PDA 4
236. AI 1998 vol 71 no 3 p 149 152 2 2004 vol 48 no 5 p 165 170 3 Jacques Richalet WHY PREDICTIVE CONTROL 2004 vol 43 no 9 p 654 664 4 J M Maciejowski 5 SPC MSPC 53 2009 6 21 2009 3 no 4 179 D 302 303 7 P Lundstrom et al Liminations of Dynamic Matrix Control Computers chem Engng 1995 vol 19 p 409 421 8 S J Qin T A Badgwell A Survey of Industrial Model Vol 82 No 5 2009 Predictive Control Technology Control Engineering Prac tice 2003 vol 11 no 7 p 733 764 9
237. Fuji Electric has expanded its automation business in various fields such as for power and industrial applcations and has compiled a record of many successes Based on our technical strategy for the japanese market and on global market and technology trends Fuji Electric is advancing technical development focused on energy the environment and safety with the goal of realhzing a sustainable society that is a safe and secure With smarter functions irmproved safety and greenng seen as the critical factors for success Fuji Electric has subdivided its automation business activities into energy Industry and socio automation sectors and is advancing efforts to realhize safety engineering platform development that includes embedded systems and 3R reduce reuse recycle engineering d e a
238. o o o o MO o o o o o o MEMS 20 MEMS
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240. 40 6 3 21 9 10 6 1 3 5 7 9 11 10 82 5 858 I M Sept 2009 J vol 82 No 5 HUJ ELECINC JOU4NAL SeDt 2009 VOL6G2_ NOS
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243. 31 Vol 82 No 5 2009 OR a SIL le STL gl SIL Bw MIL Military Standard MTBF MTBF 5
244. MPC MPC 100 MPC C MPC MPC PLC MPC 7 MFC PLC MPC PC 2 MPC GUI
245. Vol 82 No 5 2009 a b 2 4 3
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247. s eg i s i P 0 MPC 6 Wood Berry MPC 5 MPC Dp Vn a el w q b Vol 82 No 5 2009 C 1 4
248. 1 2007 http www mrmmc orJp research market market2007 2009 06 30 2 2009 http www meti go jD pohcy economy g1ljutsu_kakushin kenkyu_ kaihatu str2009 html 2009 06 30 3 2 MEMS 2008 vol 81 no 5 4 A micromachined gas sensor based on a catalytic thick film SnO thin film bilayer and thin film heater Part 1 CH sensing Sensors and Actuators B 2005 Vol 109 p 185 189 5 BEANS http www mmc orjp research beans 2009 06 30 68 MEMS
249. BusinesS Process He engineering Vol 82 No 5 2009 le PF 2 PF PF PF PF PF PE MICREX NX PF HMI Human Machine Interface PLC Programable Logic Controller PF PF Reduce Reuse Recycle 3R PF
250. Mechanical Systems technology to realize superior Systems Products utilizing MEMS technology include pressure sensors How sensors and the Iike and plasma etching and anodic bonding technology are used to perform three dimensional processing Recent development examples include a thin film gas sensor that realizes ultra low power consumption and a vibration sensor that is being considered for diagnostic applhcations to equipment and buildings Additionally Fuji Electric is participating in the planning of the Japanese national project known as BEANS Bio Electromechanical Autonomous Nano Systems and is collaborating with some universities to research sensors such as surface modified antibodies and energy harvesting technology MEMS Micro Electro Mechanical Systems MEMS MEMS 1 MEMS MEMS RE MEMS
251. PLC Programmable Logic Controller MSPC MPC NS 2 MSPC 2 1 MSPC a b
252. 2040 WG1 3 3 I5 Vol 82 No 5 2009
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257. which Fuji Electric has a history of successful applications 1S Droposed for the IEEE 802 15 international standard for short range wireless communication Tools for facilitatng the installation and adjustment of mesh networks are prepared as part of a shared platform Low energy consurmption mesh networks and multple tags reading technology are examples of Fuji Electric s distinctive technology and are being used in such practical applications as the wireless remote reading of a wattmeter and reading tags for a motor Vibration diagnoS1S 1 LAN 1
258. 3 Vol 82 No 5 2009 3
259. EMS MEMS M 1 1 MEMS Vol 82 No 5 2009 MEMS MEMS RI Radio Isotope 3 MEMS 1 MEMS 4
260. al applications For power system operation we have realized system stabilization with power flow control and for energy plants we have realized optimal operation and visualization Consequently in energy field we have contributed to realization of higher quality energy 1 2 2030 45 C2006 UNECCC 3E Energy Environment Economy
261. ards The safety solutions encompass the three fields of energy automation Industry automation and socio automation and customer manufacturing facilities and systems are constructed and maintained by them so as to operate safely throughout their Ifecycle The safety solutions consist of consulting safety control solutions safety components after sales service and the like and support the realization of a safety industry for safe and secure manufacturing lil lg ISO IEC ISO TEC EU
262. g Execution System py A 1 b c 22 d
263. ng of an execution System and a support system For the execution System three types of PFs for large systems medium and small systems and wide area monitoring systems are provided to match the size of the system For the support system a 3R engineering PF that promotes comprehensive reduction reuse and recychng is provided By providing these control System PFs Fuji Electric is responding to customer requests for Improved productivity and quality in all energy industrial and social application fields 11 SCM Supply Chain Management MES CManufacturin
264. or Distribution State Estimation IEEE Tans On Power Systems 2003 vol 18 no 1 p 60 68 7 2004 vol 77 no 2 p 166 170 8 2006 10 vol 45 no 10 IEEE
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