iVOD / 161787

Field Value
IVOD_ID 161787
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161787
日期 2025-05-22
會議資料.會議代碼 委員會-11-3-19-14
會議資料.會議代碼:str 第11屆第3會期經濟委員會第14次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 14
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3會期經濟委員會第14次全體委員會議
影片種類 Clip
開始時間 2025-05-22T09:35:46+08:00
結束時間 2025-05-22T09:45:57+08:00
影片長度 00:10:11
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/1976c9e92d55c2f99e8ec1e0c2030d4ac1afe2edc2e0cc67bea248a27804db81ec6f0a0ad4d1e0835ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 09:35:46 - 09:45:57
會議時間 2025-05-22T09:00:00+08:00
會議名稱 立法院第11屆第3會期經濟委員會第14次全體委員會議(事由:一、處理或審查114年度中央政府總預算有關經濟部及所屬主管預算凍結案等39案。 二、處理或審查114年度中央政府總預算有關國家發展委員會及所屬主管預算凍結案等21案。 三、繼續審查: (一)行政院函請審議「個人資料保護法部分條文修正草案」案。 (二)本院委員王美惠等18人擬具「個人資料保護法部分條文修正草案」案。 (三)本院委員羅廷瑋等17人擬具「個人資料保護法部分條文修正草案」案。 (四)本院委員李坤城等16人擬具「個人資料保護法部分條文修正草案」案。 (五)本院委員郭昱晴等19人擬具「個人資料保護法部分條文修正草案」案。 (六)本院委員陳亭妃等16人擬具「個人資料保護法第十二條、第二十七條及第四十八條條文修正草案」案。 (七)本院委員蔡易餘等18人擬具「個人資料保護法部分條文修正草案」案。 (第六案及第七案如未接獲議事處來函則不予審查。))
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 1.92096875
transcript.pyannote[0].end 4.51971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 31.63784375
transcript.pyannote[1].end 33.46034375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 34.35471875
transcript.pyannote[2].end 35.16471875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 44.54721875
transcript.pyannote[3].end 45.05346875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 45.25596875
transcript.pyannote[4].end 46.30221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 46.75784375
transcript.pyannote[5].end 55.61721875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 55.95471875
transcript.pyannote[6].end 59.14409375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 59.70096875
transcript.pyannote[7].end 60.25784375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 61.30409375
transcript.pyannote[8].end 62.16471875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 62.85659375
transcript.pyannote[9].end 63.71721875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 64.71284375
transcript.pyannote[10].end 66.28221875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 66.94034375
transcript.pyannote[11].end 70.95659375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 71.47971875
transcript.pyannote[12].end 73.25159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 73.99409375
transcript.pyannote[13].end 75.58034375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 77.63909375
transcript.pyannote[14].end 83.27534375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 84.11909375
transcript.pyannote[15].end 84.23721875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 84.42284375
transcript.pyannote[16].end 85.63784375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 86.97096875
transcript.pyannote[17].end 87.81471875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 88.72596875
transcript.pyannote[18].end 90.05909375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 90.90284375
transcript.pyannote[19].end 91.57784375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 92.40471875
transcript.pyannote[20].end 94.73346875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 95.35784375
transcript.pyannote[21].end 96.30284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 97.06221875
transcript.pyannote[22].end 100.25159375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 101.06159375
transcript.pyannote[23].end 102.69846875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 103.23846875
transcript.pyannote[24].end 106.56284375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 107.62596875
transcript.pyannote[25].end 109.44846875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 110.54534375
transcript.pyannote[26].end 111.22034375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 112.01346875
transcript.pyannote[27].end 112.70534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 113.19471875
transcript.pyannote[28].end 114.67971875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 114.98346875
transcript.pyannote[29].end 118.24034375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 118.72971875
transcript.pyannote[30].end 119.92784375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 120.38346875
transcript.pyannote[31].end 122.44221875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 122.69534375
transcript.pyannote[32].end 124.78784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 125.61471875
transcript.pyannote[33].end 127.23471875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 128.51721875
transcript.pyannote[34].end 129.19221875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 129.64784375
transcript.pyannote[35].end 130.27221875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 130.54221875
transcript.pyannote[36].end 131.08221875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 131.33534375
transcript.pyannote[37].end 132.75284375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 132.98909375
transcript.pyannote[38].end 133.86659375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 134.15346875
transcript.pyannote[39].end 135.97596875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 136.53284375
transcript.pyannote[40].end 138.20346875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 139.35096875
transcript.pyannote[41].end 143.60346875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 144.17721875
transcript.pyannote[42].end 144.66659375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 145.57784375
transcript.pyannote[43].end 146.96159375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 148.42971875
transcript.pyannote[44].end 150.87659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 151.06221875
transcript.pyannote[45].end 153.99846875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 154.23471875
transcript.pyannote[46].end 155.44971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 155.55096875
transcript.pyannote[47].end 159.56721875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 159.85409375
transcript.pyannote[48].end 160.98471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 161.62596875
transcript.pyannote[49].end 162.79034375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 163.83659375
transcript.pyannote[50].end 165.92909375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 166.11471875
transcript.pyannote[51].end 166.85721875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 167.54909375
transcript.pyannote[52].end 169.59096875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 170.04659375
transcript.pyannote[53].end 171.71721875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 172.20659375
transcript.pyannote[54].end 172.67909375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 173.06721875
transcript.pyannote[55].end 175.05846875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 175.90221875
transcript.pyannote[56].end 179.37846875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 179.64846875
transcript.pyannote[57].end 182.19659375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 183.39471875
transcript.pyannote[58].end 185.72346875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 186.11159375
transcript.pyannote[59].end 187.12409375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 187.52909375
transcript.pyannote[60].end 189.09846875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 189.90846875
transcript.pyannote[61].end 191.76471875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 193.40159375
transcript.pyannote[62].end 194.07659375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 195.47721875
transcript.pyannote[63].end 196.65846875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 197.36721875
transcript.pyannote[64].end 201.65346875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 202.39596875
transcript.pyannote[65].end 205.23096875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 206.39534375
transcript.pyannote[66].end 207.22221875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 208.82534375
transcript.pyannote[67].end 210.22596875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 211.42409375
transcript.pyannote[68].end 211.86284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 212.48721875
transcript.pyannote[69].end 213.75284375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 215.01846875
transcript.pyannote[70].end 216.82409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 217.98846875
transcript.pyannote[71].end 219.57471875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 220.89096875
transcript.pyannote[72].end 221.88659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 222.76409375
transcript.pyannote[73].end 225.12659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 225.81846875
transcript.pyannote[74].end 226.78034375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 227.33721875
transcript.pyannote[75].end 228.28221875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 229.12596875
transcript.pyannote[76].end 230.00346875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 231.11721875
transcript.pyannote[77].end 232.60221875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 233.26034375
transcript.pyannote[78].end 234.39096875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 236.23034375
transcript.pyannote[79].end 237.31034375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 237.63096875
transcript.pyannote[80].end 238.13721875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 239.16659375
transcript.pyannote[81].end 240.53346875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 241.05659375
transcript.pyannote[82].end 241.91721875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 242.38971875
transcript.pyannote[83].end 244.48221875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 244.81971875
transcript.pyannote[84].end 245.56221875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 246.96284375
transcript.pyannote[85].end 247.35096875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 247.89096875
transcript.pyannote[86].end 249.62909375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 251.04659375
transcript.pyannote[87].end 251.67096875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 253.00409375
transcript.pyannote[88].end 254.47221875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 254.74221875
transcript.pyannote[89].end 257.37471875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 258.55596875
transcript.pyannote[90].end 260.15909375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 260.88471875
transcript.pyannote[91].end 262.28534375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 264.19221875
transcript.pyannote[92].end 264.73221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 265.15409375
transcript.pyannote[93].end 266.72346875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 267.06096875
transcript.pyannote[94].end 270.11534375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 270.50346875
transcript.pyannote[95].end 272.52846875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 273.57471875
transcript.pyannote[96].end 274.58721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 276.34221875
transcript.pyannote[97].end 277.43909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 277.97909375
transcript.pyannote[98].end 278.90721875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 280.40909375
transcript.pyannote[99].end 281.23596875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 282.09659375
transcript.pyannote[100].end 283.14284375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 283.68284375
transcript.pyannote[101].end 284.98221875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 285.85971875
transcript.pyannote[102].end 287.73284375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 287.93534375
transcript.pyannote[103].end 288.67784375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 289.60596875
transcript.pyannote[104].end 290.82096875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 292.03596875
transcript.pyannote[105].end 293.33534375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 294.01034375
transcript.pyannote[106].end 295.56284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 295.81596875
transcript.pyannote[107].end 297.19971875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 298.06034375
transcript.pyannote[108].end 298.81971875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 299.47784375
transcript.pyannote[109].end 300.86159375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 302.68409375
transcript.pyannote[110].end 303.67971875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 303.79784375
transcript.pyannote[111].end 304.87784375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 305.83971875
transcript.pyannote[112].end 308.28659375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 308.94471875
transcript.pyannote[113].end 311.00346875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 312.04971875
transcript.pyannote[114].end 312.74159375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 315.49221875
transcript.pyannote[115].end 317.17971875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 317.39909375
transcript.pyannote[116].end 317.95596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 318.81659375
transcript.pyannote[117].end 320.63909375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 321.24659375
transcript.pyannote[118].end 322.36034375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 323.45721875
transcript.pyannote[119].end 324.25034375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 324.68909375
transcript.pyannote[120].end 326.07284375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 326.37659375
transcript.pyannote[121].end 328.23284375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 329.70096875
transcript.pyannote[122].end 332.29971875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 333.04221875
transcript.pyannote[123].end 334.17284375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 334.59471875
transcript.pyannote[124].end 335.50596875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 337.58159375
transcript.pyannote[125].end 338.13846875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 340.33221875
transcript.pyannote[126].end 341.41221875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 342.55971875
transcript.pyannote[127].end 344.50034375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 344.88846875
transcript.pyannote[128].end 345.86721875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 346.01909375
transcript.pyannote[129].end 346.59284375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 348.61784375
transcript.pyannote[130].end 349.78221875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 350.96346875
transcript.pyannote[131].end 352.53284375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 352.87034375
transcript.pyannote[132].end 353.83221875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 355.60409375
transcript.pyannote[133].end 356.98784375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 357.56159375
transcript.pyannote[134].end 358.38846875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 359.40096875
transcript.pyannote[135].end 360.88596875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 361.07159375
transcript.pyannote[136].end 362.86034375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 363.19784375
transcript.pyannote[137].end 364.19346875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 364.66596875
transcript.pyannote[138].end 366.03284375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 367.04534375
transcript.pyannote[139].end 369.00284375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 369.37409375
transcript.pyannote[140].end 371.75346875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 372.52971875
transcript.pyannote[141].end 373.96409375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 375.82034375
transcript.pyannote[142].end 377.06909375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 377.60909375
transcript.pyannote[143].end 378.23346875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 379.00971875
transcript.pyannote[144].end 379.98846875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 381.43971875
transcript.pyannote[145].end 383.05971875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 383.78534375
transcript.pyannote[146].end 385.25346875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 385.65846875
transcript.pyannote[147].end 386.55284375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 387.19409375
transcript.pyannote[148].end 388.03784375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 389.05034375
transcript.pyannote[149].end 389.26971875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 390.02909375
transcript.pyannote[150].end 393.03284375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 394.95659375
transcript.pyannote[151].end 397.72409375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 399.15846875
transcript.pyannote[152].end 399.90096875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 404.82846875
transcript.pyannote[153].end 423.96471875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 424.16721875
transcript.pyannote[154].end 434.00534375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 432.73971875
transcript.pyannote[155].end 434.86596875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 435.72659375
transcript.pyannote[156].end 436.31721875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 436.51971875
transcript.pyannote[157].end 436.60409375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 436.60409375
transcript.pyannote[158].end 441.07596875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 436.65471875
transcript.pyannote[159].end 445.04159375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 446.05409375
transcript.pyannote[160].end 449.00721875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 449.20971875
transcript.pyannote[161].end 450.81284375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 452.56784375
transcript.pyannote[162].end 452.80409375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 453.46221875
transcript.pyannote[163].end 456.19596875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 453.73221875
transcript.pyannote[164].end 455.58846875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 456.19596875
transcript.pyannote[165].end 458.25471875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 458.96346875
transcript.pyannote[166].end 460.26284375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 461.14034375
transcript.pyannote[167].end 463.95846875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 464.26221875
transcript.pyannote[168].end 467.72159375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 468.54846875
transcript.pyannote[169].end 472.81784375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 472.93596875
transcript.pyannote[170].end 474.55596875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 472.98659375
transcript.pyannote[171].end 473.88096875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 474.55596875
transcript.pyannote[172].end 479.58471875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 477.55971875
transcript.pyannote[173].end 478.74096875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 479.58471875
transcript.pyannote[174].end 479.60159375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 480.86721875
transcript.pyannote[175].end 481.60971875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 482.01471875
transcript.pyannote[176].end 483.53346875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 484.29284375
transcript.pyannote[177].end 485.22096875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 486.48659375
transcript.pyannote[178].end 486.79034375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 487.16159375
transcript.pyannote[179].end 490.77284375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 491.17784375
transcript.pyannote[180].end 491.86971875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 492.03846875
transcript.pyannote[181].end 493.05096875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 494.62034375
transcript.pyannote[182].end 495.43034375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 496.03784375
transcript.pyannote[183].end 496.89846875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 497.35409375
transcript.pyannote[184].end 499.36221875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 501.64034375
transcript.pyannote[185].end 502.50096875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 502.88909375
transcript.pyannote[186].end 503.90159375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 504.40784375
transcript.pyannote[187].end 505.85909375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 506.14596875
transcript.pyannote[188].end 509.55471875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 510.33096875
transcript.pyannote[189].end 513.35159375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 514.71846875
transcript.pyannote[190].end 516.37221875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 516.64221875
transcript.pyannote[191].end 519.40971875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 520.05096875
transcript.pyannote[192].end 521.23221875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 522.46409375
transcript.pyannote[193].end 523.35846875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 523.93221875
transcript.pyannote[194].end 525.11346875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 525.45096875
transcript.pyannote[195].end 526.27784375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 526.90221875
transcript.pyannote[196].end 528.97784375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 529.39971875
transcript.pyannote[197].end 531.66096875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 542.42721875
transcript.pyannote[198].end 543.08534375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 543.87846875
transcript.pyannote[199].end 544.87409375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 546.94971875
transcript.pyannote[200].end 547.82721875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 549.34596875
transcript.pyannote[201].end 550.30784375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 550.79721875
transcript.pyannote[202].end 551.26971875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 551.75909375
transcript.pyannote[203].end 553.27784375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 553.80096875
transcript.pyannote[204].end 554.32409375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 557.58096875
transcript.pyannote[205].end 560.38221875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 560.88846875
transcript.pyannote[206].end 561.58034375
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 562.87971875
transcript.pyannote[207].end 564.41534375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 567.14909375
transcript.pyannote[208].end 568.29659375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 570.38909375
transcript.pyannote[209].end 570.74346875
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 571.46909375
transcript.pyannote[210].end 573.15659375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 577.18971875
transcript.pyannote[211].end 578.18534375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 579.55221875
transcript.pyannote[212].end 579.99096875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 581.42534375
transcript.pyannote[213].end 582.75846875
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 583.24784375
transcript.pyannote[214].end 584.17596875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 584.36159375
transcript.pyannote[215].end 585.72846875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 586.45409375
transcript.pyannote[216].end 587.66909375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 589.52534375
transcript.pyannote[217].end 591.49971875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 591.75284375
transcript.pyannote[218].end 593.11971875
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 593.81159375
transcript.pyannote[219].end 594.46971875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 595.00971875
transcript.pyannote[220].end 596.78159375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 598.38471875
transcript.pyannote[221].end 598.89096875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 599.59971875
transcript.pyannote[222].end 603.39659375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 603.73409375
transcript.pyannote[223].end 606.68721875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 607.80096875
transcript.pyannote[224].end 610.23096875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 611.12534375
transcript.pyannote[225].end 611.69909375
transcript.whisperx[0].start 2.289
transcript.whisperx[0].end 2.971
transcript.whisperx[0].text 好 謝謝 我們現在請張祺凱委員發言
transcript.whisperx[1].start 31.613
transcript.whisperx[1].end 34.915
transcript.whisperx[1].text 來 請郭部長委員長 這個517啊 非核家電以後 非核家園以後大家都在關心 我們的電成本增加了 電櫃跟變張的問題今天我要先給你看一個畫面 來 我們先看這個 這是
transcript.whisperx[2].start 61.883
transcript.whisperx[2].end 74.553
transcript.whisperx[2].text 517啊 河山場二號機停了之後19號台中深夜12點的畫面中火深夜燒煤炭 煙霧瀰漫部長看了應該也是有些擔心的這個畫面真的是非常的驚悚現在開了第一槍出來抗議的是台中市的市長
transcript.whisperx[3].start 91.153
transcript.whisperx[3].end 110.798
transcript.whisperx[3].text 盧秀燕 盧秀燕提出非常具體的事證她證明說 在飛河加鹽的前一天跟後一天就是前一天到後面一天 中火的發電量 全部都燒沒了喔中火是台灣最大的污染源 它燒沒
transcript.whisperx[4].start 112.062
transcript.whisperx[4].end 137.913
transcript.whisperx[4].text 增加了50%他直接講了一共一本錢有10部這個基礎有一部在維修其他的9部基礎火力都全開這不是只有台中人受到影響喔在附近的中華南島 嘉義 昏林整個都受到影響了我看台電還一直認為沒有問題可是呢我們看下一張
transcript.whisperx[5].start 139.397
transcript.whisperx[5].end 162.603
transcript.whisperx[5].text 台中市的環保局長跟盧修緣就拿出了非常具體的證據他講說中火啊他把時間點都給你看了中火10步這個燃煤基礎9步有上限其中有8步開的都是超過9成一直持續到20號的下午下面這個話最重要請大家一起來看看
transcript.whisperx[6].start 163.885
transcript.whisperx[6].end 180.515
transcript.whisperx[6].text 你看 河山廠停機前16號中火 就是台灣最大的污染源他燒 用的這個煤炭一天3.23萬噸結果17號停了以後當天就跳上來了跳到4.03萬噸的煤炭18號稍微緩了一點點19號竟然攀升到4.64萬噸我給你算算看 這多恐怖的事情
transcript.whisperx[7].start 193.439
transcript.whisperx[7].end 219.135
transcript.whisperx[7].text 一天喔就是非核家園以後光是一個中火一天多了1.4萬公噸的煤台中人跟整個中部地區的民眾用會發電健康受到多大的影響這是一個好 那我們再往南部看中部之外南部的議員跑出來講
transcript.whisperx[8].start 220.933
transcript.whisperx[8].end 249.463
transcript.whisperx[8].text 說高雄啊新達三號跟四號的燃煤基礎你明明去年許可證明已經到齊了啊在飛河佳園貨的三天你又偷偷地擋開了高雄人何辜啊不只是中部的民眾用廢在發電南部也受到很大的影響我可以這樣講在民進黨推動飛河佳園之後
transcript.whisperx[9].start 251.107
transcript.whisperx[9].end 274.206
transcript.whisperx[9].text 前臺灣空污越來越嚴重這是我們現在要正視的一個很嚴重的一個問題好 接下來我要談一個也是非常嚴重的問題除了污染增加了影響到我們人民的健康跟生命安全之外我們的電到底夠不夠呢賴清德總統你4月29號啊說我們的電夠啊
transcript.whisperx[10].start 280.455
transcript.whisperx[10].end 300.594
transcript.whisperx[10].text 他還特別講他說全國民眾啊你可以上台電的電力即時資訊你去看一下我們的備載容量啊就是我們備用的一個電都在10%以上我們就上去看了結果發現5月4號就被打臉了
transcript.whisperx[11].start 303.345
transcript.whisperx[11].end 312.208
transcript.whisperx[11].text 總統在4月29號接受財新的專訪說我們所有的電力備載容量電是過的都是10%以上不到五天不到五天就破功了那一天降到6.846.84多恐怖就從綠燈已經轉到黃燈了再下去6%以下就是橘燈
transcript.whisperx[12].start 329.758
transcript.whisperx[12].end 358.216
transcript.whisperx[12].text 橘色的燈就是隨時有可能系統性的限電的我進一步給大家看一下總統的票票大家看一下這是台電的資料我幫他做一個統計這是每天的備產容量的熱量看下一張光是四月份總統票票的10%就有11次五月份到現在為止也有7次
transcript.whisperx[13].start 359.434
transcript.whisperx[13].end 387.833
transcript.whisperx[13].text 在4月10號的時候 降到5.37一直沒有10%欸5.37代表什麼?已經進入了極端 極端叫做什麼?供電警戒 就是系統的限電限電的機率已經增加了再往下降 隨時就要找電了可能就要大停電了所以我剛剛一直一路講下來我們的污染增加了 空污增加了我們的電力
transcript.whisperx[14].start 390.075
transcript.whisperx[14].end 399.51
transcript.whisperx[14].text 沒有像總統講的那麼充裕電力顯然是不夠的部長所以在空屋跟電力上面我們是要做一些想辦法解決問題
transcript.whisperx[15].start 404.821
transcript.whisperx[15].end 433.58
transcript.whisperx[15].text 可能委員說明其實整個年度我們如果從這個2016到現在所有的空污的問題台電其實是一直在做降低的動作包括剛才提到的台中的電廠南美的用電量南美的用量我們整個南美的發電量也都在降那剛才委員有提到10%其實台電對外已經一再的強調那是在日尖峰 夜尖峰它必須要超過7%所以你剛才提到所以總統叫我們隨時上去看啊
transcript.whisperx[16].start 435.781
transcript.whisperx[16].end 459.974
transcript.whisperx[16].text 是不是而且我講的不是只有晚上喔很多尖峰時間 特別是那個太陽一下山的時候老實講 現在幾乎是每天傍晚只要太陽一下山 那個太陽能一下子不見了我們這輩子容量就快速下降馬上喔 馬上6月份下季馬上就來了 對不對用電高峰就來了喔
transcript.whisperx[17].start 461.238
transcript.whisperx[17].end 485.061
transcript.whisperx[17].text 所以政府有責任 你既然廢了核電第一個 空污不要再生效 因為我們廢發電 影響我們健康第二個不要讓我們大停電喔 電力一定是要過熱 總統講話已經被打臉了嘛對不對 信息非常清楚嘛空污的情況 台電一直都持續在降啦我先跟他講一下齁昨天啊 傍晚 你在說那個時間昨天傍晚啊
transcript.whisperx[18].start 487.61
transcript.whisperx[18].end 512.855
transcript.whisperx[18].text 為6點就太陽大概差不多下山後沒多久6點50分一直到7點50分昨天的傍晚這個小時啊我們備載容量差不多只有7%所以再降下去就是已經從黃燈黃燈就是已經吃緊了啊綠燈就是總統講的綠燈就是供應充裕對不對到了10%以下就是供電已經是吃緊了
transcript.whisperx[19].start 514.755
transcript.whisperx[19].end 530.868
transcript.whisperx[19].text 大部分時間在供應吃緊了到了下面就是集燈供電已經上有警戒了已經快到警戒的地方了昨天晚上有長達一個小時都只有7%是 都維持在夜間風7%以上我給大家看一下那個空屋的統計齁
transcript.whisperx[20].start 542.712
transcript.whisperx[20].end 563.957
transcript.whisperx[20].text 這個是中心院的資料過去八年啊行政院跟政府一直講我們的空汙是這樣的可是呢過去八年我們的碳排增加了多少沒有少欸還反而增加了80萬噸這多嚴重的一個問題好
transcript.whisperx[21].start 571.516
transcript.whisperx[21].end 596.685
transcript.whisperx[21].text 我們請部長跟台電注意三個事情第一個 廢核517之後 我們電價 電力的成本已經變貴了不要隨便漲價從內部趕快去作為改革第二個 空氣污染變嚴重了第三個 電力的穩定度已經下降了
transcript.whisperx[22].start 599.626
transcript.whisperx[22].end 610.107
transcript.whisperx[22].text 請好好面對問題幫人民解決問題不要讓人民第一個用配發電而且電會是升高的謝謝好 謝謝張其凱委員的發言