iVOD / 165196

Field Value
IVOD_ID 165196
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165196
日期 2025-11-10
會議資料.會議代碼 委員會-11-4-19-10
會議資料.會議代碼:str 第11屆第4會期經濟委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 10
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第4會期經濟委員會第10次全體委員會議
影片種類 Clip
開始時間 2025-11-10T09:53:01+08:00
結束時間 2025-11-10T10:05:20+08:00
影片長度 00:12:19
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6fc2fc2b2fd269db7c5abfcba510f129838b731be938aed5e8348dfcc66348a644d40c79ee0f93675ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 09:53:01 - 10:05:20
會議時間 2025-11-10T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第10次全體委員會議(事由:審查: 一、行政院函請審議「企業併購法增訂第五章之一章名及第四十四條之二、第五十二條之一、第五十四條條文修正草案」案。 二、本院委員王美惠等20人擬具「企業併購法部分條文修正草案」案。 三、本院委員沈發惠等17人擬具「企業併購法部分條文修正草案」案。 四、本院委員賴惠員等20人擬具「企業併購法部分條文修正草案」案。 五、本院委員賴瑞隆等18人擬具「企業併購法部分條文修正草案」案。(第五案如於本次會議開始前未經各黨團簽署不復議同意書,則不予審查) (詢答及處理) 【11月10日及13日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.31346875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 21.69846875
transcript.pyannote[1].end 28.00971875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 29.00534375
transcript.pyannote[2].end 29.83221875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 35.63721875
transcript.pyannote[3].end 35.65409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 35.65409375
transcript.pyannote[4].end 36.43034375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 37.47659375
transcript.pyannote[5].end 37.84784375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 38.35409375
transcript.pyannote[6].end 39.19784375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 39.97409375
transcript.pyannote[7].end 44.27721875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 44.42909375
transcript.pyannote[8].end 51.56721875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 45.47534375
transcript.pyannote[9].end 45.98159375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 52.05659375
transcript.pyannote[10].end 53.15346875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 53.22096875
transcript.pyannote[11].end 57.94596875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 59.31284375
transcript.pyannote[12].end 60.51096875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 60.71346875
transcript.pyannote[13].end 62.55284375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 62.97471875
transcript.pyannote[14].end 66.07971875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 66.33284375
transcript.pyannote[15].end 67.71659375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 68.39159375
transcript.pyannote[16].end 69.69096875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 70.87221875
transcript.pyannote[17].end 72.22221875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 73.26846875
transcript.pyannote[18].end 73.92659375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 73.97721875
transcript.pyannote[19].end 77.28471875
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 77.84159375
transcript.pyannote[20].end 79.10721875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 79.20846875
transcript.pyannote[21].end 82.48221875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 82.97159375
transcript.pyannote[22].end 85.04721875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 85.89096875
transcript.pyannote[23].end 89.50221875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 90.04221875
transcript.pyannote[24].end 91.18971875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 91.76346875
transcript.pyannote[25].end 95.64471875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 97.06221875
transcript.pyannote[26].end 110.56221875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 108.73971875
transcript.pyannote[27].end 109.51596875
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 109.61721875
transcript.pyannote[28].end 109.66784375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 109.70159375
transcript.pyannote[29].end 110.54534375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 110.56221875
transcript.pyannote[30].end 112.28346875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 112.21596875
transcript.pyannote[31].end 112.55346875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 112.55346875
transcript.pyannote[32].end 126.18846875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 117.54846875
transcript.pyannote[33].end 118.34159375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 120.88971875
transcript.pyannote[34].end 121.64909375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 126.10409375
transcript.pyannote[35].end 135.41909375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 132.60096875
transcript.pyannote[36].end 138.18659375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 136.00971875
transcript.pyannote[37].end 137.51159375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 138.91221875
transcript.pyannote[38].end 141.22409375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 142.23659375
transcript.pyannote[39].end 143.63721875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 145.37534375
transcript.pyannote[40].end 150.69096875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 151.72034375
transcript.pyannote[41].end 157.06971875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 152.19284375
transcript.pyannote[42].end 152.68221875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 157.99784375
transcript.pyannote[43].end 159.90471875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 160.36034375
transcript.pyannote[44].end 163.97159375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 160.84971875
transcript.pyannote[45].end 161.37284375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 163.97159375
transcript.pyannote[46].end 165.11909375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 165.11909375
transcript.pyannote[47].end 165.22034375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 165.20346875
transcript.pyannote[48].end 165.23721875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 165.23721875
transcript.pyannote[49].end 165.28784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 165.28784375
transcript.pyannote[50].end 165.35534375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 165.35534375
transcript.pyannote[51].end 165.38909375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 165.38909375
transcript.pyannote[52].end 165.62534375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 165.62534375
transcript.pyannote[53].end 171.05909375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 165.64221875
transcript.pyannote[54].end 169.11846875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 171.37971875
transcript.pyannote[55].end 175.07534375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 175.37909375
transcript.pyannote[56].end 181.11659375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 182.02784375
transcript.pyannote[57].end 185.13284375
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 185.70659375
transcript.pyannote[58].end 187.25909375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 187.54596875
transcript.pyannote[59].end 189.14909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 189.70596875
transcript.pyannote[60].end 190.04346875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 190.63409375
transcript.pyannote[61].end 192.23721875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 193.53659375
transcript.pyannote[62].end 194.80221875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 196.18596875
transcript.pyannote[63].end 197.70471875
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 198.02534375
transcript.pyannote[64].end 199.27409375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 199.57784375
transcript.pyannote[65].end 201.85596875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 202.02471875
transcript.pyannote[66].end 207.50909375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 205.48409375
transcript.pyannote[67].end 205.82159375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 206.09159375
transcript.pyannote[68].end 209.28096875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 209.63534375
transcript.pyannote[69].end 214.74846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 215.17034375
transcript.pyannote[70].end 217.00971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 217.27971875
transcript.pyannote[71].end 250.06784375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 247.03034375
transcript.pyannote[72].end 248.05971875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 249.35909375
transcript.pyannote[73].end 253.08846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 250.89471875
transcript.pyannote[74].end 251.36721875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 253.08846875
transcript.pyannote[75].end 253.27409375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 253.40909375
transcript.pyannote[76].end 258.85971875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 259.45034375
transcript.pyannote[77].end 259.80471875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 260.00721875
transcript.pyannote[78].end 301.63784375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 301.57034375
transcript.pyannote[79].end 306.78471875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 307.64534375
transcript.pyannote[80].end 321.12846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 310.15971875
transcript.pyannote[81].end 311.27346875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 317.39909375
transcript.pyannote[82].end 317.95596875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 321.17909375
transcript.pyannote[83].end 323.20409375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 322.64721875
transcript.pyannote[84].end 325.70159375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 325.70159375
transcript.pyannote[85].end 327.23721875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 327.23721875
transcript.pyannote[86].end 332.75534375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 327.86159375
transcript.pyannote[87].end 328.50284375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 333.54846875
transcript.pyannote[88].end 336.65346875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 336.65346875
transcript.pyannote[89].end 337.37909375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 337.24409375
transcript.pyannote[90].end 340.31534375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 340.78784375
transcript.pyannote[91].end 341.96909375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 342.91409375
transcript.pyannote[92].end 343.87596875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 344.83784375
transcript.pyannote[93].end 345.83346875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 347.16659375
transcript.pyannote[94].end 350.28846875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 350.59221875
transcript.pyannote[95].end 355.41846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 357.49409375
transcript.pyannote[96].end 366.70784375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 366.99471875
transcript.pyannote[97].end 371.44971875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 371.87159375
transcript.pyannote[98].end 373.23846875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 373.99784375
transcript.pyannote[99].end 375.46596875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 376.49534375
transcript.pyannote[100].end 377.37284375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 378.19971875
transcript.pyannote[101].end 378.55409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 378.55409375
transcript.pyannote[102].end 381.91221875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 380.27534375
transcript.pyannote[103].end 383.65034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 382.58721875
transcript.pyannote[104].end 383.48159375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 384.02159375
transcript.pyannote[105].end 391.68284375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 390.04596875
transcript.pyannote[106].end 392.32409375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 392.32409375
transcript.pyannote[107].end 397.35284375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 397.69034375
transcript.pyannote[108].end 406.29659375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 406.34721875
transcript.pyannote[109].end 409.01346875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 409.01346875
transcript.pyannote[110].end 422.31096875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 412.43909375
transcript.pyannote[111].end 413.48534375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 422.46284375
transcript.pyannote[112].end 423.37409375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 423.39096875
transcript.pyannote[113].end 430.49534375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 430.68096875
transcript.pyannote[114].end 437.65034375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 432.08159375
transcript.pyannote[115].end 432.16596875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 432.16596875
transcript.pyannote[116].end 434.14034375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 437.97096875
transcript.pyannote[117].end 438.40971875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 438.40971875
transcript.pyannote[118].end 443.37096875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 443.86034375
transcript.pyannote[119].end 447.35346875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 447.79221875
transcript.pyannote[120].end 449.39534375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 449.39534375
transcript.pyannote[121].end 449.46284375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 449.46284375
transcript.pyannote[122].end 449.53034375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 449.53034375
transcript.pyannote[123].end 449.54721875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 449.54721875
transcript.pyannote[124].end 450.20534375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 449.58096875
transcript.pyannote[125].end 451.08284375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 450.54284375
transcript.pyannote[126].end 452.09534375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 451.48784375
transcript.pyannote[127].end 469.05471875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 468.37971875
transcript.pyannote[128].end 470.03346875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 469.71284375
transcript.pyannote[129].end 476.02409375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 471.33284375
transcript.pyannote[130].end 476.07471875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 476.07471875
transcript.pyannote[131].end 476.29409375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 476.91846875
transcript.pyannote[132].end 481.60971875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 480.12471875
transcript.pyannote[133].end 482.13284375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 481.76159375
transcript.pyannote[134].end 482.06534375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 482.13284375
transcript.pyannote[135].end 482.43659375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 482.43659375
transcript.pyannote[136].end 482.62221875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 482.62221875
transcript.pyannote[137].end 482.65596875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 482.65596875
transcript.pyannote[138].end 482.90909375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 482.90909375
transcript.pyannote[139].end 483.02721875
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 483.02721875
transcript.pyannote[140].end 490.21596875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 485.27159375
transcript.pyannote[141].end 487.51596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 489.23721875
transcript.pyannote[142].end 491.85284375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 492.44346875
transcript.pyannote[143].end 495.81846875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 495.81846875
transcript.pyannote[144].end 496.15596875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 496.24034375
transcript.pyannote[145].end 499.26096875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 499.85159375
transcript.pyannote[146].end 504.49221875
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 504.72846875
transcript.pyannote[147].end 507.09096875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 507.34409375
transcript.pyannote[148].end 509.23409375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 510.16221875
transcript.pyannote[149].end 511.41096875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 511.91721875
transcript.pyannote[150].end 520.45596875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 521.14784375
transcript.pyannote[151].end 525.72096875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 526.14284375
transcript.pyannote[152].end 527.79659375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 528.82596875
transcript.pyannote[153].end 531.72846875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 532.11659375
transcript.pyannote[154].end 536.28471875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 536.99346875
transcript.pyannote[155].end 538.57971875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 538.76534375
transcript.pyannote[156].end 540.57096875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 540.92534375
transcript.pyannote[157].end 544.26659375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 544.62096875
transcript.pyannote[158].end 545.63346875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 545.54909375
transcript.pyannote[159].end 545.93721875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 545.93721875
transcript.pyannote[160].end 549.68346875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 547.57409375
transcript.pyannote[161].end 547.96221875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 551.75909375
transcript.pyannote[162].end 557.49659375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 558.84659375
transcript.pyannote[163].end 560.11221875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 560.78721875
transcript.pyannote[164].end 561.71534375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 561.93471875
transcript.pyannote[165].end 563.67284375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 563.82471875
transcript.pyannote[166].end 565.10721875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 566.10284375
transcript.pyannote[167].end 568.54971875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 568.98846875
transcript.pyannote[168].end 569.57909375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 570.40596875
transcript.pyannote[169].end 572.49846875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 572.75159375
transcript.pyannote[170].end 574.01721875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 574.72596875
transcript.pyannote[171].end 575.94096875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 577.79721875
transcript.pyannote[172].end 580.64909375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 581.05409375
transcript.pyannote[173].end 581.89784375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 583.07909375
transcript.pyannote[174].end 585.91409375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 586.87596875
transcript.pyannote[175].end 587.44971875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 588.34409375
transcript.pyannote[176].end 589.20471875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 590.45346875
transcript.pyannote[177].end 590.92596875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 591.21284375
transcript.pyannote[178].end 592.24221875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 593.32221875
transcript.pyannote[179].end 595.56659375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 595.92096875
transcript.pyannote[180].end 596.64659375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 597.77721875
transcript.pyannote[181].end 598.45221875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 599.11034375
transcript.pyannote[182].end 600.35909375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 601.38846875
transcript.pyannote[183].end 602.45159375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 602.97471875
transcript.pyannote[184].end 603.39659375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 603.76784375
transcript.pyannote[185].end 604.30784375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 606.23159375
transcript.pyannote[186].end 614.58471875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 615.59721875
transcript.pyannote[187].end 616.79534375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 617.41971875
transcript.pyannote[188].end 618.61784375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 619.57971875
transcript.pyannote[189].end 620.55846875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 621.23346875
transcript.pyannote[190].end 622.22909375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 624.23721875
transcript.pyannote[191].end 625.73909375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 625.87409375
transcript.pyannote[192].end 626.58284375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 627.02159375
transcript.pyannote[193].end 631.05471875
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 631.45971875
transcript.pyannote[194].end 633.88971875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 634.88534375
transcript.pyannote[195].end 636.43784375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 636.89346875
transcript.pyannote[196].end 637.65284375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 638.68221875
transcript.pyannote[197].end 640.04909375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 641.02784375
transcript.pyannote[198].end 641.92221875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 642.19221875
transcript.pyannote[199].end 644.21721875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 645.07784375
transcript.pyannote[200].end 645.70221875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 646.05659375
transcript.pyannote[201].end 652.55346875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 646.09034375
transcript.pyannote[202].end 646.63034375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 653.17784375
transcript.pyannote[203].end 655.20284375
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 655.43909375
transcript.pyannote[204].end 658.03784375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 658.18971875
transcript.pyannote[205].end 659.87721875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 660.26534375
transcript.pyannote[206].end 661.66596875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 662.30721875
transcript.pyannote[207].end 678.43971875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 676.17846875
transcript.pyannote[208].end 676.39784375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 676.39784375
transcript.pyannote[209].end 676.53284375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 676.68471875
transcript.pyannote[210].end 678.40596875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 678.43971875
transcript.pyannote[211].end 692.02409375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 689.76284375
transcript.pyannote[212].end 692.31096875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 692.44596875
transcript.pyannote[213].end 698.94284375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 693.03659375
transcript.pyannote[214].end 694.33596875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 699.12846875
transcript.pyannote[215].end 703.31346875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 704.29221875
transcript.pyannote[216].end 711.59909375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 711.98721875
transcript.pyannote[217].end 720.40784375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 721.48784375
transcript.pyannote[218].end 722.41596875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 723.00659375
transcript.pyannote[219].end 723.79971875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 724.05284375
transcript.pyannote[220].end 736.06784375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 736.86096875
transcript.pyannote[221].end 737.41784375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 737.06346875
transcript.pyannote[222].end 737.14784375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 737.80596875
transcript.pyannote[223].end 740.53971875
transcript.whisperx[0].start 0.189
transcript.whisperx[0].end 23.407
transcript.whisperx[0].text 感謝 這麼辛苦感冒這麼嚴重 還堅持自治會議的主席請到龔部長龔警部長
transcript.whisperx[1].start 36.04
transcript.whisperx[1].end 52.435
transcript.whisperx[1].text 張委員好6號我們發生了全國第一起水上的光電板的火災在這個 它也是全國最大規模的水上型光電的暗場在中華張濱工業區東側的輪位東光電廠發生了這個
transcript.whisperx[2].start 59.4
transcript.whisperx[2].end 71.833
transcript.whisperx[2].text 你看這在地上 燒得非常的這個嚴重那現在聯合 你看又是聯合再生又是小動物者的禍聯合再生出來說他說為什麼發生火災
transcript.whisperx[3].start 73.422
transcript.whisperx[3].end 95.479
transcript.whisperx[3].text 他說最近在現場有發現一些老鼠出沒可能是鳥屎啊咬到那個電線所以起火可是就有人講啊那邊是潮間帶那個土非常的那個鬆軟又是泥濘啊老鼠根本就去了就陷進去了所以到現在到目前為止調查的真相是怎麼樣子 人民要真相
transcript.whisperx[4].start 97.133
transcript.whisperx[4].end 122.469
transcript.whisperx[4].text 報告委員現在目前看起來應該是的確是那個電線走火啦至於是什麼原因造成這個可能由消防單位來做最後的確認跟鑑定是不是小老鼠或是什麼我們不知道不要一直都推給這個小動物小老鼠啦這是一個第二個當然真相要快因為6號就發生了嘛對不對要趕快把真相查清楚但是這個還是要消防單位來認定是比較你們要去推一下因為這是你們管的嘛
transcript.whisperx[5].start 123.289
transcript.whisperx[5].end 149.303
transcript.whisperx[5].text 要垂這個民眾非常關心這個案子不過他這個案場總共98個MW他現在受到傷害大概10個MW就是十分之一啦這個對我們供電也算是很大的一個很大的影響那更諷刺的是什麼更諷刺的這麼大的一個火災喔就消防車進不去耶而且拉水線也太長了水線太長而且可能也觸電啊所以到後來
transcript.whisperx[6].start 152.234
transcript.whisperx[6].end 180.862
transcript.whisperx[6].text 到後來最諷刺的是什麼要我們的消防員帶著乾粉的這個滅火器進去滅火這畫面太諷刺了他大概好像一個是不是一個多小時他就已經撲滅了燒了兩個多小時所以現在兩個多小時這個就是嚴重嘛第一個他在潮間帶這個生態生態受到影響這已經是一個他有燃燒嘛對不對浮桶跟這個光電板這個燃燒第二個你用
transcript.whisperx[7].start 182.076
transcript.whisperx[7].end 196.881
transcript.whisperx[7].text 你用那個滅火的時候 用那個乾粉這個老實講都是非常嚴重的第三個我們更要問9月開始你們就規定了喔他們都要提出災防的計畫書 對不對
transcript.whisperx[8].start 198.372
transcript.whisperx[8].end 214.253
transcript.whisperx[8].text 對 消防計畫 再生能源 聯合再生我瞭解他已經提了計畫書他什麼魅惑 來來來 兩個事情嘛第一個 他有預防如果發生火災要怎麼辦嗎第二個 如果發生火災他到底要怎麼魅惑
transcript.whisperx[9].start 215.294
transcript.whisperx[9].end 242.704
transcript.whisperx[9].text 是 報告委員因為委員一直很關心這個太陽光電所以我們在丹納斯颱風通過後我們在9月特別去修改電業登記規則要求所謂2MW就是2萬以上的太陽光電廠要訂災害防救計畫這是一個新的那我們現在對於未來他要有災害防救計畫我們才會核准既有的案場我們是要求他在
transcript.whisperx[10].start 243.624
transcript.whisperx[10].end 258.672
transcript.whisperx[10].text 11月17日以前提出那這個案場已經提出了 已經提了嘛對不對已經提了 那我們有 我就要問這個嘛經濟部說他已經提了嘛 對不對那他這次如果發生火災 他到了他的災他的這個防災計畫裡面 他到底怎麼救火
transcript.whisperx[11].start 260.148
transcript.whisperx[11].end 272.915
transcript.whisperx[11].text 他當然要通知當地的消防機關然後他要先自救那以這次來講他是消防車有到案場但是他的人員是透過自救來把這個火災撲滅
transcript.whisperx[12].start 273.939
transcript.whisperx[12].end 301.458
transcript.whisperx[12].text 那剛才委員提到災害防救計畫那這個我們他已經提出來我們是定在11月14會邀集當地的警消單位一起去審他的災害防救計畫那過去來講確實我們對於這種案場我們一個消防的處理原則那但是我們並沒有要求業者要訂災害防救計畫那也是丹納斯颱風之後我們現在特別新增要求
transcript.whisperx[13].start 301.738
transcript.whisperx[13].end 306.597
transcript.whisperx[13].text 有定是好的嘛 現在問題是不能只有做表面嘛 你這一次實際發生的就是
transcript.whisperx[14].start 307.717
transcript.whisperx[14].end 332.537
transcript.whisperx[14].text 你其實消防車不麻煩嗎?他有進去所以弄到後來他變成要抱著消防員跟業者抱著幹事的那個魅惑器進去你會同意用這樣一個方式嗎?這不會很諷刺嗎?因為他那個我是說你用他提的那個計畫要是可行的對不對?是是 而且要演練要演練嘛 他可能沒演練 他應該到目前沒演練你要再問一下 要對 要嚴重的就他的
transcript.whisperx[15].start 333.615
transcript.whisperx[15].end 355.109
transcript.whisperx[15].text 你不能做表面功夫啊 他給你的計畫書要可行 對不對當然不會 來來來 我給你看日本也發生過啦 日本在2019年三倉水庫他就發生這個連日本喔 日本本身 他本身是有那種特別的日本喔 他們的災害計畫書人家是寫得非常清楚有特殊的消防車喔
transcript.whisperx[16].start 357.54
transcript.whisperx[16].end 377.279
transcript.whisperx[16].text 他們大概100公尺都是可以救火的可是連發生這樣的一個火災連日本都沒辦法我今天是要提醒你第一個 你的計畫書不是拿來做好看的要不然就可以欺騙大眾啊這次實際上你發現他就沒辦法救嘛
transcript.whisperx[17].start 378.64
transcript.whisperx[17].end 405.868
transcript.whisperx[17].text 對不對可以救啦兩個多小時啊兩個多小時已經污染一個多小時啦那鋪面它毀損的面積就10公尺乘10公尺就100平方公尺因為它那個系統是連在一起一部分出問題那它整個地方要解連那所以影響比較大但是受災起火的面積事實上只有10乘10平方公尺就100平方公尺這樣
transcript.whisperx[18].start 406.648
transcript.whisperx[18].end 420.801
transcript.whisperx[18].text 所以經濟部認為這次還算可以控制就對了對不對我的意思是說這次在很短的時間就控制那所以我們未來當然該委員提到我們這個災害防救災害搶救我們要跟這個消防機關一起合作來檢視來精進這部分
transcript.whisperx[19].start 422.542
transcript.whisperx[19].end 445.027
transcript.whisperx[19].text 那個柏定你們把那個這次聯合再生提出來的防災的這個計畫書PO到網站上面去給全民知道現在不是只有對聯合再生要這樣要求只要是水上型或者是比較大型的那個光電日本人家都有做嘛對不對全世界比較先進的國家要給大家看了好不好我懂了如果他的計畫書寫的
transcript.whisperx[20].start 447.827
transcript.whisperx[20].end 473.238
transcript.whisperx[20].text 不要都要抹乾粉進去滅火的話這就麻煩了剛剛署長有提了我們會跟消防單位下去檢視他的這個防災計畫到底妥不妥適啦這個一定會啦至於說把他的文件PO在網路上這個我們可能要CHECK一下這樣是不是有違反什麼相關規定這個都是要救災防災啊這本來就要公開的我們會跟消防機關去CHECK他的這個防災計畫
transcript.whisperx[21].start 477.077
transcript.whisperx[21].end 490.802
transcript.whisperx[21].text 那個柏定這個應該是要公開的吧你覺得他有什麼任何機密見不得人要不自已吧我來確認一下是不是有這個相關規定沒有問題如果可以公開我們就來公開這一次 針對這一次
transcript.whisperx[22].start 492.483
transcript.whisperx[22].end 508.89
transcript.whisperx[22].text 因為這個用乾盆這個煤火器還有現場有燃燒嘛他會造成一些污染一直朝鮮待好不好所以對於他的污染到底有多大的污染怎麼去解決這個問題你要儘快對外要公開要公布好不好這是第一個那第二個
transcript.whisperx[23].start 510.239
transcript.whisperx[23].end 535.066
transcript.whisperx[23].text 原因到現在不清楚嘛要去追你跟那個消防署那邊消防局那邊要趕快把真相趕快跟民眾講現在更重要的是我剛才講的日本的計畫裡面一定都有消防他要有特殊的這個消防車你如果真的要設的話如果他連救災防止火災都做不到他就不應該設光墊在那裡啊今天是不是算運氣算不錯啊燒2點清車油有停啦對不對
transcript.whisperx[24].start 537.145
transcript.whisperx[24].end 564.741
transcript.whisperx[24].text 這次風太陽又來了 老實說你讓我自己給你選一個名字萬一有火災 到底要怎麼去防治要趕快去做 好不好那個計畫書不要是只有好看的抱歉 直接給我幾分鐘好不好我來問你一個上次上禮拜我跟你要的那個北門的那個案子光電那個案子 我們先來看一下光電如果要開發它整個這個環境影響的集合機制現在有三成嘛 對不對
transcript.whisperx[25].start 566.861
transcript.whisperx[25].end 591.815
transcript.whisperx[25].text 最鬆散的是地方說明會接下來是環境跟社會的檢核機制 接下來是環評對社會 確定對社會 對環境影響衝擊越大就應該審查的這個嚴格密度要越強對不對對嘛齁好 最後你要看一下你來看 我給你看下一個圖來
transcript.whisperx[26].start 593.376
transcript.whisperx[26].end 621.466
transcript.whisperx[26].text 右邊這個是室內的這個漁電共生左邊啦是室外的漁電共生室內的面積 你看 更大而且他在影響評估 影響 環境影響是大的你看左邊如果是台南 若是出生在黑邊皮路啊左邊他可能還可以飛進去對不對右邊根本進不去啊而且開發的強度室內的是多少下一張80%
transcript.whisperx[27].start 624.341
transcript.whisperx[27].end 643.983
transcript.whisperx[27].text 室外最多只能蓋40%所以開發的強度跟跟對環境影響是不是室內的比較大對不對結果你們現在回了我一個文啊現在只要是室內的漁電共生現在連最鬆散的地方說明環社檢核全部都沒有說
transcript.whisperx[28].start 646.141
transcript.whisperx[28].end 661.49
transcript.whisperx[28].text 而且民眾來陳情說什麼在我家旁邊整個社區被光電板一直包圍起來了連說明會都沒辦耶然後我們上去查我們幫他上去查不管是台南市政府或者是你們網站上面
transcript.whisperx[29].start 662.33
transcript.whisperx[29].end 677.481
transcript.whisperx[29].text 也不想那個光電板包圍在什麼地方因為地面設施這個地面已經被使用掉了所以不會跟太陽能面板不會跟真地因為它已經是有一個寄存的地面設施存在了只是在這個地面設施上面
transcript.whisperx[30].start 678.582
transcript.whisperx[30].end 694.77
transcript.whisperx[30].text 那個地很多就是餘溫嘛 只是他都蓋了一個室內嘛 對不對啊室外已經以前 連審計部都已經 審計部都已經 審計部都已經糾正說你們要注意 環境受影響 現在虛弱之外 整個部長我知道那個 抱歉因為後面有人在質詢 我怕他 怕時間 我現在要簡單跟你講兩個重要觀念第一個我們讓民眾知道 現在我正在幫你問的就是你後來給我資料嘛
transcript.whisperx[31].start 704.626
transcript.whisperx[31].end 717.771
transcript.whisperx[31].text 我滿你做一件事情讓民眾知道你要用地圖的方式呈現說他旁邊到底哪個地方有光電板好不好這要趕快做民眾你家旁邊出現一堆的光電板像這個北門這開發案186公頃
transcript.whisperx[32].start 721.67
transcript.whisperx[32].end 735.242
transcript.whisperx[32].text 如果是你的話你會不會緊張啊旁邊你的周遭社區186公頃喔所以你要讓民眾會知道第二個就我剛講的檢討一下室內的那個漁電共生不要連地方的說明都沒有趕快去訂好不好謝謝謝謝謝謝張七開委員資訊謝謝