IVOD_ID |
161333 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/161333 |
日期 |
2025-05-14 |
會議資料.會議代碼 |
委員會-11-3-26-11 |
會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第11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 |
11 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第3會期社會福利及衛生環境委員會第11次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-05-14T10:39:53+08:00 |
結束時間 |
2025-05-14T10:53:40+08:00 |
影片長度 |
00:13:47 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4f2e91488ef6971b20fc52f6ba8d0d89fe24093ee94bb6855433fb1cebf983d8844353fb8ddf334f5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
蘇清泉 |
委員發言時間 |
10:39:53 - 10:53:40 |
會議時間 |
2025-05-14T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第11次全體委員會議(事由:一、邀請環境部部長、經濟部、勞動部及教育部就「我國推動綠色轉型政策,相關人才培育發展與產業政策規劃」進行專題報告,並備質詢。
二、邀請環境部部長、衛生福利部、勞動部、經濟部、農業部及教育部就「全氟及多氟烷基物質(PFAS)管理行動計畫及環境荷爾蒙管理計畫之毒化物相關管理情形」進行專題報告,並備質詢。
【專題報告綜合詢答】
【5月14日及15日二天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.51596875 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
4.60409375 |
transcript.pyannote[1].end |
7.16909375 |
transcript.pyannote[2].speaker |
SPEAKER_03 |
transcript.pyannote[2].start |
9.09284375 |
transcript.pyannote[2].end |
11.59034375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
10.51034375 |
transcript.pyannote[3].end |
10.74659375 |
transcript.pyannote[4].speaker |
SPEAKER_03 |
transcript.pyannote[4].start |
12.01221875 |
transcript.pyannote[4].end |
21.24284375 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
14.45909375 |
transcript.pyannote[5].end |
14.47596875 |
transcript.pyannote[6].speaker |
SPEAKER_04 |
transcript.pyannote[6].start |
14.47596875 |
transcript.pyannote[6].end |
16.36596875 |
transcript.pyannote[7].speaker |
SPEAKER_04 |
transcript.pyannote[7].start |
18.45846875 |
transcript.pyannote[7].end |
19.04909375 |
transcript.pyannote[8].speaker |
SPEAKER_04 |
transcript.pyannote[8].start |
21.36096875 |
transcript.pyannote[8].end |
25.71471875 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
23.23409375 |
transcript.pyannote[9].end |
23.63909375 |
transcript.pyannote[10].speaker |
SPEAKER_03 |
transcript.pyannote[10].start |
24.71909375 |
transcript.pyannote[10].end |
25.61346875 |
transcript.pyannote[11].speaker |
SPEAKER_03 |
transcript.pyannote[11].start |
25.71471875 |
transcript.pyannote[11].end |
26.01846875 |
transcript.pyannote[12].speaker |
SPEAKER_03 |
transcript.pyannote[12].start |
26.45721875 |
transcript.pyannote[12].end |
27.85784375 |
transcript.pyannote[13].speaker |
SPEAKER_03 |
transcript.pyannote[13].start |
28.58346875 |
transcript.pyannote[13].end |
29.74784375 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
29.98409375 |
transcript.pyannote[14].end |
30.01784375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
30.28784375 |
transcript.pyannote[15].end |
31.48596875 |
transcript.pyannote[16].speaker |
SPEAKER_03 |
transcript.pyannote[16].start |
36.95346875 |
transcript.pyannote[16].end |
44.66534375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
45.32346875 |
transcript.pyannote[17].end |
47.38221875 |
transcript.pyannote[18].speaker |
SPEAKER_03 |
transcript.pyannote[18].start |
48.04034375 |
transcript.pyannote[18].end |
53.67659375 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
54.18284375 |
transcript.pyannote[19].end |
56.68034375 |
transcript.pyannote[20].speaker |
SPEAKER_03 |
transcript.pyannote[20].start |
56.96721875 |
transcript.pyannote[20].end |
58.78971875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
59.00909375 |
transcript.pyannote[21].end |
59.02596875 |
transcript.pyannote[22].speaker |
SPEAKER_03 |
transcript.pyannote[22].start |
59.04284375 |
transcript.pyannote[22].end |
61.43909375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
62.13096875 |
transcript.pyannote[23].end |
63.48096875 |
transcript.pyannote[24].speaker |
SPEAKER_04 |
transcript.pyannote[24].start |
64.72971875 |
transcript.pyannote[24].end |
66.45096875 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
67.21034375 |
transcript.pyannote[25].end |
67.22721875 |
transcript.pyannote[26].speaker |
SPEAKER_04 |
transcript.pyannote[26].start |
67.22721875 |
transcript.pyannote[26].end |
69.16784375 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
68.27346875 |
transcript.pyannote[27].end |
68.99909375 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
69.16784375 |
transcript.pyannote[28].end |
70.75409375 |
transcript.pyannote[29].speaker |
SPEAKER_03 |
transcript.pyannote[29].start |
71.86784375 |
transcript.pyannote[29].end |
72.93096875 |
transcript.pyannote[30].speaker |
SPEAKER_04 |
transcript.pyannote[30].start |
73.09971875 |
transcript.pyannote[30].end |
73.75784375 |
transcript.pyannote[31].speaker |
SPEAKER_04 |
transcript.pyannote[31].start |
74.24721875 |
transcript.pyannote[31].end |
75.04034375 |
transcript.pyannote[32].speaker |
SPEAKER_03 |
transcript.pyannote[32].start |
75.04034375 |
transcript.pyannote[32].end |
79.17471875 |
transcript.pyannote[33].speaker |
SPEAKER_03 |
transcript.pyannote[33].start |
80.01846875 |
transcript.pyannote[33].end |
81.09846875 |
transcript.pyannote[34].speaker |
SPEAKER_04 |
transcript.pyannote[34].start |
82.14471875 |
transcript.pyannote[34].end |
83.89971875 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
83.96721875 |
transcript.pyannote[35].end |
85.87409375 |
transcript.pyannote[36].speaker |
SPEAKER_04 |
transcript.pyannote[36].start |
85.97534375 |
transcript.pyannote[36].end |
86.00909375 |
transcript.pyannote[37].speaker |
SPEAKER_03 |
transcript.pyannote[37].start |
86.17784375 |
transcript.pyannote[37].end |
86.19471875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
86.19471875 |
transcript.pyannote[38].end |
86.24534375 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
86.22846875 |
transcript.pyannote[39].end |
87.29159375 |
transcript.pyannote[40].speaker |
SPEAKER_04 |
transcript.pyannote[40].start |
86.24534375 |
transcript.pyannote[40].end |
86.34659375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
86.34659375 |
transcript.pyannote[41].end |
92.03346875 |
transcript.pyannote[42].speaker |
SPEAKER_03 |
transcript.pyannote[42].start |
92.15159375 |
transcript.pyannote[42].end |
93.33284375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
93.33284375 |
transcript.pyannote[43].end |
93.87284375 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
93.65346875 |
transcript.pyannote[44].end |
95.99909375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
96.42096875 |
transcript.pyannote[45].end |
106.56284375 |
transcript.pyannote[46].speaker |
SPEAKER_03 |
transcript.pyannote[46].start |
107.03534375 |
transcript.pyannote[46].end |
110.61284375 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
111.33846875 |
transcript.pyannote[47].end |
112.03034375 |
transcript.pyannote[48].speaker |
SPEAKER_03 |
transcript.pyannote[48].start |
112.72221875 |
transcript.pyannote[48].end |
115.82721875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
115.54034375 |
transcript.pyannote[49].end |
117.58221875 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
117.70034375 |
transcript.pyannote[50].end |
120.13034375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
118.02096875 |
transcript.pyannote[51].end |
118.72971875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
119.30346875 |
transcript.pyannote[52].end |
120.23159375 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
120.77159375 |
transcript.pyannote[53].end |
125.41221875 |
transcript.pyannote[54].speaker |
SPEAKER_03 |
transcript.pyannote[54].start |
126.77909375 |
transcript.pyannote[54].end |
129.07409375 |
transcript.pyannote[55].speaker |
SPEAKER_03 |
transcript.pyannote[55].start |
129.52971875 |
transcript.pyannote[55].end |
130.45784375 |
transcript.pyannote[56].speaker |
SPEAKER_03 |
transcript.pyannote[56].start |
131.40284375 |
transcript.pyannote[56].end |
132.93846875 |
transcript.pyannote[57].speaker |
SPEAKER_03 |
transcript.pyannote[57].start |
133.52909375 |
transcript.pyannote[57].end |
135.35159375 |
transcript.pyannote[58].speaker |
SPEAKER_03 |
transcript.pyannote[58].start |
136.11096875 |
transcript.pyannote[58].end |
138.94596875 |
transcript.pyannote[59].speaker |
SPEAKER_03 |
transcript.pyannote[59].start |
138.96284375 |
transcript.pyannote[59].end |
138.97971875 |
transcript.pyannote[60].speaker |
SPEAKER_03 |
transcript.pyannote[60].start |
139.13159375 |
transcript.pyannote[60].end |
140.49846875 |
transcript.pyannote[61].speaker |
SPEAKER_03 |
transcript.pyannote[61].start |
141.03846875 |
transcript.pyannote[61].end |
142.11846875 |
transcript.pyannote[62].speaker |
SPEAKER_04 |
transcript.pyannote[62].start |
142.27034375 |
transcript.pyannote[62].end |
142.50659375 |
transcript.pyannote[63].speaker |
SPEAKER_03 |
transcript.pyannote[63].start |
142.75971875 |
transcript.pyannote[63].end |
144.22784375 |
transcript.pyannote[64].speaker |
SPEAKER_03 |
transcript.pyannote[64].start |
145.72971875 |
transcript.pyannote[64].end |
147.36659375 |
transcript.pyannote[65].speaker |
SPEAKER_03 |
transcript.pyannote[65].start |
148.14284375 |
transcript.pyannote[65].end |
150.01596875 |
transcript.pyannote[66].speaker |
SPEAKER_03 |
transcript.pyannote[66].start |
151.46721875 |
transcript.pyannote[66].end |
152.24346875 |
transcript.pyannote[67].speaker |
SPEAKER_03 |
transcript.pyannote[67].start |
153.28971875 |
transcript.pyannote[67].end |
156.41159375 |
transcript.pyannote[68].speaker |
SPEAKER_03 |
transcript.pyannote[68].start |
156.86721875 |
transcript.pyannote[68].end |
160.05659375 |
transcript.pyannote[69].speaker |
SPEAKER_03 |
transcript.pyannote[69].start |
160.84971875 |
transcript.pyannote[69].end |
163.46534375 |
transcript.pyannote[70].speaker |
SPEAKER_03 |
transcript.pyannote[70].start |
163.51596875 |
transcript.pyannote[70].end |
166.33409375 |
transcript.pyannote[71].speaker |
SPEAKER_03 |
transcript.pyannote[71].start |
166.99221875 |
transcript.pyannote[71].end |
169.18596875 |
transcript.pyannote[72].speaker |
SPEAKER_03 |
transcript.pyannote[72].start |
169.60784375 |
transcript.pyannote[72].end |
172.18971875 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
173.01659375 |
transcript.pyannote[73].end |
175.27784375 |
transcript.pyannote[74].speaker |
SPEAKER_03 |
transcript.pyannote[74].start |
175.85159375 |
transcript.pyannote[74].end |
179.93534375 |
transcript.pyannote[75].speaker |
SPEAKER_03 |
transcript.pyannote[75].start |
180.10409375 |
transcript.pyannote[75].end |
180.76221875 |
transcript.pyannote[76].speaker |
SPEAKER_03 |
transcript.pyannote[76].start |
181.28534375 |
transcript.pyannote[76].end |
182.39909375 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
183.27659375 |
transcript.pyannote[77].end |
184.67721875 |
transcript.pyannote[78].speaker |
SPEAKER_03 |
transcript.pyannote[78].start |
185.58846875 |
transcript.pyannote[78].end |
188.30534375 |
transcript.pyannote[79].speaker |
SPEAKER_03 |
transcript.pyannote[79].start |
189.11534375 |
transcript.pyannote[79].end |
190.71846875 |
transcript.pyannote[80].speaker |
SPEAKER_04 |
transcript.pyannote[80].start |
190.71846875 |
transcript.pyannote[80].end |
208.01534375 |
transcript.pyannote[81].speaker |
SPEAKER_03 |
transcript.pyannote[81].start |
208.01534375 |
transcript.pyannote[81].end |
208.06596875 |
transcript.pyannote[82].speaker |
SPEAKER_03 |
transcript.pyannote[82].start |
209.98971875 |
transcript.pyannote[82].end |
221.02596875 |
transcript.pyannote[83].speaker |
SPEAKER_04 |
transcript.pyannote[83].start |
221.36346875 |
transcript.pyannote[83].end |
224.63721875 |
transcript.pyannote[84].speaker |
SPEAKER_03 |
transcript.pyannote[84].start |
224.63721875 |
transcript.pyannote[84].end |
226.13909375 |
transcript.pyannote[85].speaker |
SPEAKER_03 |
transcript.pyannote[85].start |
226.45971875 |
transcript.pyannote[85].end |
229.12596875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
229.68284375 |
transcript.pyannote[86].end |
230.74596875 |
transcript.pyannote[87].speaker |
SPEAKER_03 |
transcript.pyannote[87].start |
230.27346875 |
transcript.pyannote[87].end |
232.53471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
232.06221875 |
transcript.pyannote[88].end |
237.54659375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
237.85034375 |
transcript.pyannote[89].end |
240.46596875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
240.63471875 |
transcript.pyannote[90].end |
244.68471875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
244.98846875 |
transcript.pyannote[91].end |
245.79846875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
246.06846875 |
transcript.pyannote[92].end |
251.72159375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
251.83971875 |
transcript.pyannote[93].end |
254.05034375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
254.30346875 |
transcript.pyannote[94].end |
259.87221875 |
transcript.pyannote[95].speaker |
SPEAKER_03 |
transcript.pyannote[95].start |
259.39971875 |
transcript.pyannote[95].end |
260.39534375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
260.39534375 |
transcript.pyannote[96].end |
264.00659375 |
transcript.pyannote[97].speaker |
SPEAKER_03 |
transcript.pyannote[97].start |
261.12096875 |
transcript.pyannote[97].end |
261.96471875 |
transcript.pyannote[98].speaker |
SPEAKER_03 |
transcript.pyannote[98].start |
264.00659375 |
transcript.pyannote[98].end |
264.96846875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
265.20471875 |
transcript.pyannote[99].end |
269.71034375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
269.72721875 |
transcript.pyannote[100].end |
272.00534375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
272.24159375 |
transcript.pyannote[101].end |
274.04721875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
274.11471875 |
transcript.pyannote[102].end |
275.85284375 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
275.24534375 |
transcript.pyannote[103].end |
278.29971875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
278.78909375 |
transcript.pyannote[104].end |
279.02534375 |
transcript.pyannote[105].speaker |
SPEAKER_04 |
transcript.pyannote[105].start |
279.02534375 |
transcript.pyannote[105].end |
285.85971875 |
transcript.pyannote[106].speaker |
SPEAKER_03 |
transcript.pyannote[106].start |
283.07534375 |
transcript.pyannote[106].end |
285.28596875 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
285.85971875 |
transcript.pyannote[107].end |
289.69034375 |
transcript.pyannote[108].speaker |
SPEAKER_03 |
transcript.pyannote[108].start |
290.36534375 |
transcript.pyannote[108].end |
291.59721875 |
transcript.pyannote[109].speaker |
SPEAKER_03 |
transcript.pyannote[109].start |
291.78284375 |
transcript.pyannote[109].end |
294.66846875 |
transcript.pyannote[110].speaker |
SPEAKER_03 |
transcript.pyannote[110].start |
295.24221875 |
transcript.pyannote[110].end |
296.45721875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
297.73971875 |
transcript.pyannote[111].end |
298.75221875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
298.98846875 |
transcript.pyannote[112].end |
306.71721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
306.91971875 |
transcript.pyannote[113].end |
308.94471875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
309.23159375 |
transcript.pyannote[114].end |
312.92721875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
313.16346875 |
transcript.pyannote[115].end |
317.58471875 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
317.70284375 |
transcript.pyannote[116].end |
321.56721875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
321.88784375 |
transcript.pyannote[117].end |
324.95909375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
325.26284375 |
transcript.pyannote[118].end |
328.89096875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
329.21159375 |
transcript.pyannote[119].end |
330.08909375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
330.71346875 |
transcript.pyannote[120].end |
331.96221875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
332.23221875 |
transcript.pyannote[121].end |
332.68784375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
333.07596875 |
transcript.pyannote[122].end |
337.24409375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
337.76721875 |
transcript.pyannote[123].end |
342.64409375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
342.71159375 |
transcript.pyannote[124].end |
342.72846875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
342.74534375 |
transcript.pyannote[125].end |
343.25159375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
343.70721875 |
transcript.pyannote[126].end |
348.26346875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
346.40721875 |
transcript.pyannote[127].end |
346.77846875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
348.65159375 |
transcript.pyannote[128].end |
350.06909375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
350.35596875 |
transcript.pyannote[129].end |
356.73471875 |
transcript.pyannote[130].speaker |
SPEAKER_03 |
transcript.pyannote[130].start |
357.29159375 |
transcript.pyannote[130].end |
358.35471875 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
359.21534375 |
transcript.pyannote[131].end |
362.94471875 |
transcript.pyannote[132].speaker |
SPEAKER_04 |
transcript.pyannote[132].start |
363.26534375 |
transcript.pyannote[132].end |
365.02034375 |
transcript.pyannote[133].speaker |
SPEAKER_03 |
transcript.pyannote[133].start |
366.96096875 |
transcript.pyannote[133].end |
367.29846875 |
transcript.pyannote[134].speaker |
SPEAKER_03 |
transcript.pyannote[134].start |
368.32784375 |
transcript.pyannote[134].end |
379.31346875 |
transcript.pyannote[135].speaker |
SPEAKER_03 |
transcript.pyannote[135].start |
379.66784375 |
transcript.pyannote[135].end |
386.24909375 |
transcript.pyannote[136].speaker |
SPEAKER_03 |
transcript.pyannote[136].start |
386.58659375 |
transcript.pyannote[136].end |
389.92784375 |
transcript.pyannote[137].speaker |
SPEAKER_03 |
transcript.pyannote[137].start |
390.48471875 |
transcript.pyannote[137].end |
392.15534375 |
transcript.pyannote[138].speaker |
SPEAKER_03 |
transcript.pyannote[138].start |
392.81346875 |
transcript.pyannote[138].end |
393.74159375 |
transcript.pyannote[139].speaker |
SPEAKER_03 |
transcript.pyannote[139].start |
394.14659375 |
transcript.pyannote[139].end |
394.97346875 |
transcript.pyannote[140].speaker |
SPEAKER_03 |
transcript.pyannote[140].start |
395.44596875 |
transcript.pyannote[140].end |
400.77846875 |
transcript.pyannote[141].speaker |
SPEAKER_03 |
transcript.pyannote[141].start |
401.82471875 |
transcript.pyannote[141].end |
403.46159375 |
transcript.pyannote[142].speaker |
SPEAKER_03 |
transcript.pyannote[142].start |
403.71471875 |
transcript.pyannote[142].end |
405.26721875 |
transcript.pyannote[143].speaker |
SPEAKER_03 |
transcript.pyannote[143].start |
405.95909375 |
transcript.pyannote[143].end |
411.40971875 |
transcript.pyannote[144].speaker |
SPEAKER_03 |
transcript.pyannote[144].start |
411.86534375 |
transcript.pyannote[144].end |
414.58221875 |
transcript.pyannote[145].speaker |
SPEAKER_03 |
transcript.pyannote[145].start |
415.10534375 |
transcript.pyannote[145].end |
418.17659375 |
transcript.pyannote[146].speaker |
SPEAKER_03 |
transcript.pyannote[146].start |
418.51409375 |
transcript.pyannote[146].end |
422.81721875 |
transcript.pyannote[147].speaker |
SPEAKER_03 |
transcript.pyannote[147].start |
423.57659375 |
transcript.pyannote[147].end |
424.69034375 |
transcript.pyannote[148].speaker |
SPEAKER_03 |
transcript.pyannote[148].start |
425.90534375 |
transcript.pyannote[148].end |
426.15846875 |
transcript.pyannote[149].speaker |
SPEAKER_03 |
transcript.pyannote[149].start |
427.55909375 |
transcript.pyannote[149].end |
428.30159375 |
transcript.pyannote[150].speaker |
SPEAKER_03 |
transcript.pyannote[150].start |
428.65596875 |
transcript.pyannote[150].end |
432.03096875 |
transcript.pyannote[151].speaker |
SPEAKER_03 |
transcript.pyannote[151].start |
433.29659375 |
transcript.pyannote[151].end |
434.47784375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
433.41471875 |
transcript.pyannote[152].end |
439.70909375 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
439.89471875 |
transcript.pyannote[153].end |
440.94096875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
441.22784375 |
transcript.pyannote[154].end |
444.33284375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
444.50159375 |
transcript.pyannote[155].end |
448.80471875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
449.15909375 |
transcript.pyannote[156].end |
453.56346875 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
453.85034375 |
transcript.pyannote[157].end |
455.94284375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
456.26346875 |
transcript.pyannote[158].end |
457.69784375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
457.86659375 |
transcript.pyannote[159].end |
459.92534375 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
460.38096875 |
transcript.pyannote[160].end |
460.53284375 |
transcript.pyannote[161].speaker |
SPEAKER_03 |
transcript.pyannote[161].start |
460.70159375 |
transcript.pyannote[161].end |
464.05971875 |
transcript.pyannote[162].speaker |
SPEAKER_03 |
transcript.pyannote[162].start |
464.92034375 |
transcript.pyannote[162].end |
466.30409375 |
transcript.pyannote[163].speaker |
SPEAKER_03 |
transcript.pyannote[163].start |
467.63721875 |
transcript.pyannote[163].end |
469.64534375 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
470.18534375 |
transcript.pyannote[164].end |
472.98659375 |
transcript.pyannote[165].speaker |
SPEAKER_03 |
transcript.pyannote[165].start |
473.50971875 |
transcript.pyannote[165].end |
477.49221875 |
transcript.pyannote[166].speaker |
SPEAKER_04 |
transcript.pyannote[166].start |
477.49221875 |
transcript.pyannote[166].end |
477.71159375 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
477.71159375 |
transcript.pyannote[167].end |
480.09096875 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
480.68159375 |
transcript.pyannote[168].end |
484.27596875 |
transcript.pyannote[169].speaker |
SPEAKER_03 |
transcript.pyannote[169].start |
485.15346875 |
transcript.pyannote[169].end |
494.95784375 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
495.81846875 |
transcript.pyannote[170].end |
496.52721875 |
transcript.pyannote[171].speaker |
SPEAKER_04 |
transcript.pyannote[171].start |
496.08846875 |
transcript.pyannote[171].end |
497.11784375 |
transcript.pyannote[172].speaker |
SPEAKER_04 |
transcript.pyannote[172].start |
497.25284375 |
transcript.pyannote[172].end |
497.26971875 |
transcript.pyannote[173].speaker |
SPEAKER_03 |
transcript.pyannote[173].start |
497.26971875 |
transcript.pyannote[173].end |
498.48471875 |
transcript.pyannote[174].speaker |
SPEAKER_04 |
transcript.pyannote[174].start |
497.32034375 |
transcript.pyannote[174].end |
498.99096875 |
transcript.pyannote[175].speaker |
SPEAKER_03 |
transcript.pyannote[175].start |
499.71659375 |
transcript.pyannote[175].end |
502.07909375 |
transcript.pyannote[176].speaker |
SPEAKER_04 |
transcript.pyannote[176].start |
502.07909375 |
transcript.pyannote[176].end |
503.51346875 |
transcript.pyannote[177].speaker |
SPEAKER_03 |
transcript.pyannote[177].start |
503.04096875 |
transcript.pyannote[177].end |
504.91409375 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
505.21784375 |
transcript.pyannote[178].end |
506.21346875 |
transcript.pyannote[179].speaker |
SPEAKER_04 |
transcript.pyannote[179].start |
506.83784375 |
transcript.pyannote[179].end |
507.64784375 |
transcript.pyannote[180].speaker |
SPEAKER_04 |
transcript.pyannote[180].start |
507.95159375 |
transcript.pyannote[180].end |
509.11596875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
509.38596875 |
transcript.pyannote[181].end |
509.52096875 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
512.76096875 |
transcript.pyannote[182].end |
514.49909375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
514.49909375 |
transcript.pyannote[183].end |
515.83221875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
516.16971875 |
transcript.pyannote[184].end |
525.99096875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
526.39596875 |
transcript.pyannote[185].end |
529.75409375 |
transcript.pyannote[186].speaker |
SPEAKER_03 |
transcript.pyannote[186].start |
529.88909375 |
transcript.pyannote[186].end |
530.26034375 |
transcript.pyannote[187].speaker |
SPEAKER_03 |
transcript.pyannote[187].start |
530.98596875 |
transcript.pyannote[187].end |
533.51721875 |
transcript.pyannote[188].speaker |
SPEAKER_03 |
transcript.pyannote[188].start |
534.71534375 |
transcript.pyannote[188].end |
541.90409375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
536.72346875 |
transcript.pyannote[189].end |
536.74034375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
536.77409375 |
transcript.pyannote[190].end |
536.94284375 |
transcript.pyannote[191].speaker |
SPEAKER_03 |
transcript.pyannote[191].start |
541.97159375 |
transcript.pyannote[191].end |
542.15721875 |
transcript.pyannote[192].speaker |
SPEAKER_03 |
transcript.pyannote[192].start |
542.25846875 |
transcript.pyannote[192].end |
547.15221875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
545.38034375 |
transcript.pyannote[193].end |
546.47721875 |
transcript.pyannote[194].speaker |
SPEAKER_03 |
transcript.pyannote[194].start |
547.38846875 |
transcript.pyannote[194].end |
558.08721875 |
transcript.pyannote[195].speaker |
SPEAKER_03 |
transcript.pyannote[195].start |
558.84659375 |
transcript.pyannote[195].end |
561.39471875 |
transcript.pyannote[196].speaker |
SPEAKER_04 |
transcript.pyannote[196].start |
561.04034375 |
transcript.pyannote[196].end |
580.17659375 |
transcript.pyannote[197].speaker |
SPEAKER_04 |
transcript.pyannote[197].start |
580.34534375 |
transcript.pyannote[197].end |
580.37909375 |
transcript.pyannote[198].speaker |
SPEAKER_03 |
transcript.pyannote[198].start |
580.37909375 |
transcript.pyannote[198].end |
580.39596875 |
transcript.pyannote[199].speaker |
SPEAKER_04 |
transcript.pyannote[199].start |
580.39596875 |
transcript.pyannote[199].end |
580.51409375 |
transcript.pyannote[200].speaker |
SPEAKER_03 |
transcript.pyannote[200].start |
580.51409375 |
transcript.pyannote[200].end |
582.70784375 |
transcript.pyannote[201].speaker |
SPEAKER_03 |
transcript.pyannote[201].start |
583.41659375 |
transcript.pyannote[201].end |
588.49596875 |
transcript.pyannote[202].speaker |
SPEAKER_02 |
transcript.pyannote[202].start |
588.73221875 |
transcript.pyannote[202].end |
589.81221875 |
transcript.pyannote[203].speaker |
SPEAKER_03 |
transcript.pyannote[203].start |
589.93034375 |
transcript.pyannote[203].end |
594.75659375 |
transcript.pyannote[204].speaker |
SPEAKER_03 |
transcript.pyannote[204].start |
596.03909375 |
transcript.pyannote[204].end |
602.33346875 |
transcript.pyannote[205].speaker |
SPEAKER_03 |
transcript.pyannote[205].start |
603.63284375 |
transcript.pyannote[205].end |
606.23159375 |
transcript.pyannote[206].speaker |
SPEAKER_03 |
transcript.pyannote[206].start |
606.58596875 |
transcript.pyannote[206].end |
607.36221875 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
608.69534375 |
transcript.pyannote[207].end |
614.77034375 |
transcript.pyannote[208].speaker |
SPEAKER_02 |
transcript.pyannote[208].start |
614.85471875 |
transcript.pyannote[208].end |
615.10784375 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
615.36096875 |
transcript.pyannote[209].end |
619.57971875 |
transcript.pyannote[210].speaker |
SPEAKER_03 |
transcript.pyannote[210].start |
620.64284375 |
transcript.pyannote[210].end |
622.75221875 |
transcript.pyannote[211].speaker |
SPEAKER_03 |
transcript.pyannote[211].start |
623.37659375 |
transcript.pyannote[211].end |
624.54096875 |
transcript.pyannote[212].speaker |
SPEAKER_03 |
transcript.pyannote[212].start |
625.30034375 |
transcript.pyannote[212].end |
630.02534375 |
transcript.pyannote[213].speaker |
SPEAKER_03 |
transcript.pyannote[213].start |
630.71721875 |
transcript.pyannote[213].end |
632.06721875 |
transcript.pyannote[214].speaker |
SPEAKER_03 |
transcript.pyannote[214].start |
632.64096875 |
transcript.pyannote[214].end |
637.29846875 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
637.70346875 |
transcript.pyannote[215].end |
654.64596875 |
transcript.pyannote[216].speaker |
SPEAKER_03 |
transcript.pyannote[216].start |
655.89471875 |
transcript.pyannote[216].end |
656.55284375 |
transcript.pyannote[217].speaker |
SPEAKER_03 |
transcript.pyannote[217].start |
656.97471875 |
transcript.pyannote[217].end |
657.02534375 |
transcript.pyannote[218].speaker |
SPEAKER_03 |
transcript.pyannote[218].start |
657.27846875 |
transcript.pyannote[218].end |
658.96596875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
657.51471875 |
transcript.pyannote[219].end |
657.97034375 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
658.96596875 |
transcript.pyannote[220].end |
675.50346875 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
675.79034375 |
transcript.pyannote[221].end |
680.61659375 |
transcript.pyannote[222].speaker |
SPEAKER_03 |
transcript.pyannote[222].start |
680.85284375 |
transcript.pyannote[222].end |
682.30409375 |
transcript.pyannote[223].speaker |
SPEAKER_03 |
transcript.pyannote[223].start |
682.65846875 |
transcript.pyannote[223].end |
687.65346875 |
transcript.pyannote[224].speaker |
SPEAKER_03 |
transcript.pyannote[224].start |
688.49721875 |
transcript.pyannote[224].end |
692.09159375 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
691.78784375 |
transcript.pyannote[225].end |
692.96909375 |
transcript.pyannote[226].speaker |
SPEAKER_03 |
transcript.pyannote[226].start |
693.45846875 |
transcript.pyannote[226].end |
703.07721875 |
transcript.pyannote[227].speaker |
SPEAKER_03 |
transcript.pyannote[227].start |
703.51596875 |
transcript.pyannote[227].end |
708.66284375 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
703.97159375 |
transcript.pyannote[228].end |
705.11909375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
706.75596875 |
transcript.pyannote[229].end |
707.54909375 |
transcript.pyannote[230].speaker |
SPEAKER_03 |
transcript.pyannote[230].start |
709.11846875 |
transcript.pyannote[230].end |
714.18096875 |
transcript.pyannote[231].speaker |
SPEAKER_03 |
transcript.pyannote[231].start |
714.43409375 |
transcript.pyannote[231].end |
715.64909375 |
transcript.pyannote[232].speaker |
SPEAKER_03 |
transcript.pyannote[232].start |
716.32409375 |
transcript.pyannote[232].end |
719.76659375 |
transcript.pyannote[233].speaker |
SPEAKER_03 |
transcript.pyannote[233].start |
720.45846875 |
transcript.pyannote[233].end |
722.71971875 |
transcript.pyannote[234].speaker |
SPEAKER_03 |
transcript.pyannote[234].start |
723.09096875 |
transcript.pyannote[234].end |
725.09909375 |
transcript.pyannote[235].speaker |
SPEAKER_03 |
transcript.pyannote[235].start |
725.58846875 |
transcript.pyannote[235].end |
726.24659375 |
transcript.pyannote[236].speaker |
SPEAKER_03 |
transcript.pyannote[236].start |
726.75284375 |
transcript.pyannote[236].end |
728.81159375 |
transcript.pyannote[237].speaker |
SPEAKER_03 |
transcript.pyannote[237].start |
729.25034375 |
transcript.pyannote[237].end |
731.91659375 |
transcript.pyannote[238].speaker |
SPEAKER_03 |
transcript.pyannote[238].start |
732.60846875 |
transcript.pyannote[238].end |
733.51971875 |
transcript.pyannote[239].speaker |
SPEAKER_02 |
transcript.pyannote[239].start |
733.51971875 |
transcript.pyannote[239].end |
733.53659375 |
transcript.pyannote[240].speaker |
SPEAKER_02 |
transcript.pyannote[240].start |
734.22846875 |
transcript.pyannote[240].end |
735.49409375 |
transcript.pyannote[241].speaker |
SPEAKER_02 |
transcript.pyannote[241].start |
735.88221875 |
transcript.pyannote[241].end |
744.58971875 |
transcript.pyannote[242].speaker |
SPEAKER_02 |
transcript.pyannote[242].start |
744.80909375 |
transcript.pyannote[242].end |
750.56346875 |
transcript.pyannote[243].speaker |
SPEAKER_03 |
transcript.pyannote[243].start |
744.87659375 |
transcript.pyannote[243].end |
745.45034375 |
transcript.pyannote[244].speaker |
SPEAKER_03 |
transcript.pyannote[244].start |
750.56346875 |
transcript.pyannote[244].end |
753.68534375 |
transcript.pyannote[245].speaker |
SPEAKER_02 |
transcript.pyannote[245].start |
753.63471875 |
transcript.pyannote[245].end |
766.00409375 |
transcript.pyannote[246].speaker |
SPEAKER_03 |
transcript.pyannote[246].start |
766.37534375 |
transcript.pyannote[246].end |
775.20096875 |
transcript.pyannote[247].speaker |
SPEAKER_03 |
transcript.pyannote[247].start |
775.30221875 |
transcript.pyannote[247].end |
776.24721875 |
transcript.pyannote[248].speaker |
SPEAKER_04 |
transcript.pyannote[248].start |
776.44971875 |
transcript.pyannote[248].end |
784.14471875 |
transcript.pyannote[249].speaker |
SPEAKER_03 |
transcript.pyannote[249].start |
778.23846875 |
transcript.pyannote[249].end |
778.84596875 |
transcript.pyannote[250].speaker |
SPEAKER_03 |
transcript.pyannote[250].start |
781.42784375 |
transcript.pyannote[250].end |
781.96784375 |
transcript.pyannote[251].speaker |
SPEAKER_03 |
transcript.pyannote[251].start |
784.41471875 |
transcript.pyannote[251].end |
785.73096875 |
transcript.pyannote[252].speaker |
SPEAKER_04 |
transcript.pyannote[252].start |
785.93346875 |
transcript.pyannote[252].end |
785.95034375 |
transcript.pyannote[253].speaker |
SPEAKER_03 |
transcript.pyannote[253].start |
785.95034375 |
transcript.pyannote[253].end |
787.01346875 |
transcript.pyannote[254].speaker |
SPEAKER_04 |
transcript.pyannote[254].start |
785.98409375 |
transcript.pyannote[254].end |
792.75096875 |
transcript.pyannote[255].speaker |
SPEAKER_03 |
transcript.pyannote[255].start |
787.41846875 |
transcript.pyannote[255].end |
788.63346875 |
transcript.pyannote[256].speaker |
SPEAKER_04 |
transcript.pyannote[256].start |
792.85221875 |
transcript.pyannote[256].end |
801.05346875 |
transcript.pyannote[257].speaker |
SPEAKER_03 |
transcript.pyannote[257].start |
801.07034375 |
transcript.pyannote[257].end |
813.81096875 |
transcript.pyannote[258].speaker |
SPEAKER_03 |
transcript.pyannote[258].start |
814.43534375 |
transcript.pyannote[258].end |
822.85596875 |
transcript.pyannote[259].speaker |
SPEAKER_04 |
transcript.pyannote[259].start |
822.85596875 |
transcript.pyannote[259].end |
825.15096875 |
transcript.whisperx[0].start |
0.569 |
transcript.whisperx[0].end |
6.794 |
transcript.whisperx[0].text |
第28條好,謝謝趙偉好,我們請彭部長還有台電,台電有來喔?台電沒有,沒有台電好,蘇貞昭經濟部周副署長 |
transcript.whisperx[1].start |
30.646 |
transcript.whisperx[1].end |
30.911 |
transcript.whisperx[1].text |
周副署長 |
transcript.whisperx[2].start |
36.997 |
transcript.whisperx[2].end |
63.117 |
transcript.whisperx[2].text |
部長我跟海洋經濟部今天請教你們四件事情第一件事就是海上的大風車這個如火如荼我有一個朋友是在開那個船的船長我都認知啦不知道不對的話你幫我糾正路上的風車差不多有四百多隻現在兩百隻左右 |
transcript.whisperx[3].start |
67.256 |
transcript.whisperx[3].end |
93.678 |
transcript.whisperx[3].text |
路上大概200隻左右有幾隻壞掉?幾隻是好的?多少?我去專兵工業區,一大堆都壞掉了那是真的壞掉?請能源署回答那個海上的風機目前的狀況都有在持續運轉中都有在維修?我說200多機有幾機壞掉了 |
transcript.whisperx[4].start |
96.639 |
transcript.whisperx[4].end |
119.889 |
transcript.whisperx[4].text |
陸域風機的話因為有些確實有風向還有持續運轉的部分在運轉的狀況我們可能需要再清點一下再給委員因為台電的人跟我講一支的成本一億多嘛一億多 差不多一億一到一億三對不對 應該差不多啦根據他的風機的大小好 他說一個颱風掃下去就差不多會有損壞二成十吧 |
transcript.whisperx[5].start |
126.806 |
transcript.whisperx[5].end |
144.14 |
transcript.whisperx[5].text |
那修一支好幾千萬所以那個是很CP值很高的好啦 那這個海上的更誇張你知道一支多少錢嗎一支14億14億喔要採幾支 本來要採幾支本來要採幾千支喔有這麼多嗎 |
transcript.whisperx[6].start |
153.968 |
transcript.whisperx[6].end |
159.669 |
transcript.whisperx[6].text |
我每次聽到這個都背脊發涼這傢俬那是溫室的,我們的傢俬那是溫室的德國人也來,美國人也來我跟你們講,一斤十四億,一千隻,天文數字啊那他的利息,他是貸款嘛那我們的行庫用低利貸給他嘛那他的投資報酬率一定是超過他的銀行貸款有利潤,他才繼續幹嘛 |
transcript.whisperx[7].start |
183.325 |
transcript.whisperx[7].end |
207.614 |
transcript.whisperx[7].text |
那現在聽說跑掉了,那跑掉是好事還是壞事?博定你說,你怎麼說?現在其實第一個是說,的確台灣有幾家他們也有來找我們環境部抱怨,抱怨了一些事情,當然因為當時的開發,不過這個是經濟部的工作,還是你們要回答? |
transcript.whisperx[8].start |
210.031 |
transcript.whisperx[8].end |
220.731 |
transcript.whisperx[8].text |
我記得以前第一次簽約的一度電視好像五塊七啊多少嘛後來就降到五塊降到四塊多那降到四塊多你就不合啊 |
transcript.whisperx[9].start |
221.414 |
transcript.whisperx[9].end |
241.551 |
transcript.whisperx[9].text |
沒有他現在他要自己直接找買主自己找買主那這個耗損率應該很高現在有幾隻在做跟委員報告一樣現在大概379隻那我目前的裝置容量大概3G左右那到2025年大概是5點多G那初估應該是500到600隻不會到1000隻因為這個 |
transcript.whisperx[10].start |
246.375 |
transcript.whisperx[10].end |
271.045 |
transcript.whisperx[10].text |
裝置容量會隨著這個技術的精進它的容量單次的容量會越來越大所以這個支數呢會變比較小那再者跟委員報告這個我們剛好剛建好的這幾座風機都非常順利 三百多支對都非常順利的運轉中颱風來不怕目前經歷了幾次颱風跟地震都沒有問題而且是直接掃過去的 |
transcript.whisperx[11].start |
272.581 |
transcript.whisperx[11].end |
295.959 |
transcript.whisperx[11].text |
因為我不太記得,大概是前年去年都有這樣台風來的時候,他是把它關掉,還是自己會關?他超過一個風速,差不多中度台風等級,他就會鎖在那邊鎖住,保護他自己所以就不太容易被吹斷,這個一吹斷就完蛋了這個事情要修理啦,這一支修理,我看一支14億,修理我看要五六億 |
transcript.whisperx[12].start |
299.102 |
transcript.whisperx[12].end |
321.281 |
transcript.whisperx[12].text |
就是委員這邊跟您報告一下就是我們當初在推動離岸風電的時候其實針對台灣特殊的狀況就是颱風跟地震的部分我們有請標檢局特別製作了一個標準那就是在台灣設的風機都要符合這個標準才能設所以呢基本上我們的風機的規格其實比歐洲 |
transcript.whisperx[13].start |
321.943 |
transcript.whisperx[13].end |
329.608 |
transcript.whisperx[13].text |
再多延一點點然後再來就是這個業者的部分目前就是我們領選到的業者就是 |
transcript.whisperx[14].start |
330.808 |
transcript.whisperx[14].end |
356.613 |
transcript.whisperx[14].text |
離岸封建是先示範潛力然後再區塊嘛到目前為止都是潛力的長子的業者那目前的業者都很順利的在往前走那我們希望在這個預定潛力長子的時間都可以完成那我們也真的很順利在走那再稍稍的這個宣傳一下我們去年的風機累積的裝置量其實是全世界第五 |
transcript.whisperx[15].start |
357.318 |
transcript.whisperx[15].end |
360.544 |
transcript.whisperx[15].text |
你講話聽到沒有?你講話聽到沒有?你講話聽到沒有?你講話聽到沒有? |
transcript.whisperx[16].start |
363.585 |
transcript.whisperx[16].end |
389.355 |
transcript.whisperx[16].text |
靠近一點靠近一點好因為我看到的風機我到處都有去看漢堡 德國 北邊 北海內蒙古我們都去看了我們也是有在做功課的那個是風長穩定 緯度高沒有颱風地震也相對少的地方他們的風力發電的成本成本很低 |
transcript.whisperx[17].start |
392.856 |
transcript.whisperx[17].end |
398.481 |
transcript.whisperx[17].text |
都用不完那我們這邊東北季風台灣海峽又淺風又急然後颱風又多 |
transcript.whisperx[18].start |
404.547 |
transcript.whisperx[18].end |
422.096 |
transcript.whisperx[18].text |
這個採風機那麼貴 受得了嗎我一直到現在 還有這個很大大的疑問那你們的目標是500隻 1000隻還是到現在300多 增加到500多這樣很挺外商跑掉了 現在變成中鋼 台電自己在賣是做得到嗎 |
transcript.whisperx[19].start |
427.638 |
transcript.whisperx[19].end |
430.692 |
transcript.whisperx[19].text |
我們很驚訝,很害怕,害怕到排名二十,排到大家都... |
transcript.whisperx[20].start |
434.388 |
transcript.whisperx[20].end |
459.679 |
transcript.whisperx[20].text |
跟委員報告就是我們潛力場直到明年之前的這個廠商基本上呢廠商都沒有跑掉而且都在進行中那我們台電的案場也在施工中目前台電有兩個案場第一個案場是示範案場他其實已經完工已經在運轉了那第二個案場是潛力場直目前在施工中那目標是今年會完工 |
transcript.whisperx[21].start |
460.299 |
transcript.whisperx[21].end |
465.643 |
transcript.whisperx[21].text |
好,謝謝,第二個我要請問部長,我們現在連旗的農民,農民以前是用惡佛、惡力交換、惡佛勢力交換等等,那就是汙染,後來就改成現在的R124還是R125? |
transcript.whisperx[22].start |
485.619 |
transcript.whisperx[22].end |
504.328 |
transcript.whisperx[22].text |
因為二氧化合物以前是說它不會分解,然後它可以飄到大氣層,會把臭氧層都燒掉,打破洞對不對?佛力碳化物所以現在改成這個就沒問題了嗎?R14對R14還是R什麼?R134R14吧,多少?R14吧 |
transcript.whisperx[23].start |
512.813 |
transcript.whisperx[23].end |
533.13 |
transcript.whisperx[23].text |
沒有 浮氯碳化物來來來現在我們就是跟委員報告浮氯碳化物我們就是依照蒙特樓議定書管制然後他有現用逐步到禁用那他會用這個HFC來取代那我們也會依蒙特樓議定書的時程來管制好那再來今天要特別提那個 |
transcript.whisperx[24].start |
534.778 |
transcript.whisperx[24].end |
557.883 |
transcript.whisperx[24].text |
PFAS跟poly-fluoroalkyl substance這個在醫界是聽到都要嚇死的因為以前都疾病這個東西已經用一段時間了已經到處都摻這個東西那怎麼今年去年才開始又熱起來是什麼原因 柏定 |
transcript.whisperx[25].start |
558.943 |
transcript.whisperx[25].end |
588.209 |
transcript.whisperx[25].text |
是有人想要賺這條錢還是沒有這個其實在2008年就施德克某公約就有了啦2008年我們其實稍微慢一點點但是其實就很努力的去希望有管制所以去年我們就抱怨了提出一個管制的一個方案挂部會一個計畫啦所以的確是有管制公告來進行那管制因為這個東西好像施到人體裡面差不多一兩年會排泄嘛 |
transcript.whisperx[26].start |
588.849 |
transcript.whisperx[26].end |
602.025 |
transcript.whisperx[26].text |
那不容易排出那排泄之後在大環境中是不太容易分解嘛我經常去看我去培養的細菌,譬如益生菌或是乳酸菌我就把它分解可以分解塑膠,可以分解水,這樣 |
transcript.whisperx[27].start |
608.737 |
transcript.whisperx[27].end |
629.68 |
transcript.whisperx[27].text |
我在想應該有可能有一些硫化物的細菌它是可以分解無積物的喔所以這道都叫新生物學加下去不然的話這個是無解嘛那現在它是佛皆嘆嘛就是我們講的會產生這些毒物啊我們等一下吃便當那個便當裡面有一陣薄膜 |
transcript.whisperx[28].start |
630.782 |
transcript.whisperx[28].end |
650.668 |
transcript.whisperx[28].text |
那個就是這種東東的,不然的話便當坐在那裡就燙了,那一定沒辦法給它解開那解開,你便當放在那裡,我們吃飽,我吃,劉建國早晚也吃,吃吃之後吞吞下去,那如果放久了,信使者跑到食物裡面更多,我也不知道,沒人去檢查,吃吃下去,會死就死,不會死就死 |
transcript.whisperx[29].start |
657.895 |
transcript.whisperx[29].end |
680.436 |
transcript.whisperx[29].text |
所以你這什麼是要安保物不是 根本報告 其實公約有禁用的物質像PFOA PFOA是那些它就不能用到這個食品保采區所以國內我們也都是按照這樣來講所以現在如果有的部分是是沒有禁用的物質放進去的但是因為PFS是一個很大的家族有些已經開始禁用了 有些還沒有 |
transcript.whisperx[30].start |
681.436 |
transcript.whisperx[30].end |
702.552 |
transcript.whisperx[30].text |
我跟你講喔,我朋友在做晶片的,他們說這種東西,他佛器接,你看,接出來就是什麼咚咚的,我們那個手機上面一層薄膜那個是非常非常非常貴的,全世界四家工廠在做,台灣根本不會做,所以那種東西就是晶片在用的 |
transcript.whisperx[31].start |
703.853 |
transcript.whisperx[31].end |
731.393 |
transcript.whisperx[31].text |
對不對 沒錯吧那那個有沒有毒性 那當然有啊所以這個科技的進步是很可怕的那我們環境部在跟著後面跑那歐盟講常常看到東西就訂了一大堆那我們就跟著走我們永遠都在跟著後面跑啦那科技界一直在發展我們這個也沒辦法所以你現在訂這個我們不可以贏我們現在每天都在吃在贏 |
transcript.whisperx[32].start |
732.634 |
transcript.whisperx[32].end |
750.112 |
transcript.whisperx[32].text |
那有什麼辦法跟委員報告就是不能用的我們禁掉以後他就不會用進去那當然他會有替代產品像我們碳比如說九個碳八個碳慢慢管下來管到六嘛四個碳就還沒有列管因為他在這個危害的分析方面還 |
transcript.whisperx[33].start |
750.632 |
transcript.whisperx[33].end |
774.517 |
transcript.whisperx[33].text |
那我們那個便當那個膜那個膜也不是都只做這個因為他還有其他的塑膠膜這些是可以在食品等級可以用的那部分是沒有問題啦但是對於我們已經禁用的話就不能再去用在這邊好那最後的問題最後是一個剛剛那個圖前期很多委員都問那個綠林綠林你現在春天這麼年輕啊那是要幹什麼 |
transcript.whisperx[34].start |
777.056 |
transcript.whisperx[34].end |
783.82 |
transcript.whisperx[34].text |
他很多工作,現在兩萬兩千個工作機會,等著大家去工作是要去輔導,還是要抓人?沒有啦,這個是幫助大家走到未來的工作機會啦剛剛那個圖圈吉說的,圖委員說的勞工,比較勞的這個我們會再跟勞動部來討論想辦法 |
transcript.whisperx[35].start |
802.031 |
transcript.whisperx[35].end |
812.721 |
transcript.whisperx[35].text |
你不要找一些高階的,有程度高,一般來就比較好找套路啊,現在老的比較多,要訓練到有什麼初級的,還可以到中級,這樣可以改觀我們的就業啊,這是比較重要吧 |