| IVOD_ID |
169557 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/169557 |
| 日期 |
2026-05-21 |
| 會議資料.會議代碼 |
委員會-11-5-19-14 |
| 會議資料.會議代碼:str |
第11屆第5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 |
5 |
| 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5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 |
2026-05-21T12:30:33+08:00 |
| 結束時間 |
2026-05-21T12:38:02+08:00 |
| 影片長度 |
00:07:29 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/14c66ee36e76b85c20fd4189c959609dca1860e2f1c42d1af929c1ba330123fbda4a625fac0ff6085ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
12:30:33 - 12:38:02 |
| 會議時間 |
2026-05-21T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期經濟委員會第14次全體委員會議（事由：邀請經濟部部長率台灣糖業股份有限公司董事長、農業部部長、行政院災害防救辦公室首長、行政院公共工程委員會首長、內政部首長率國土管理署首長、交通部首長、原住民族委員會首長、財政部國有財產署首長、國軍退除役官兵輔導委員會首長及衛生福利部首長就「全台各縣市汛期防洪防災工程準備情形及花蓮馬太鞍溪堰塞湖災後復原重建工作」執行進度及預算運用進行報告，並備質詢。
【5月20日及5月21日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
0.65534375 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
10.27409375 |
| transcript.pyannote[1].end |
11.92784375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
12.41721875 |
| transcript.pyannote[2].end |
13.76721875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
14.00346875 |
| transcript.pyannote[3].end |
17.07471875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
17.22659375 |
| transcript.pyannote[4].end |
19.26846875 |
| transcript.pyannote[5].speaker |
SPEAKER_02 |
| transcript.pyannote[5].start |
19.82534375 |
| transcript.pyannote[5].end |
22.55909375 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
24.16221875 |
| transcript.pyannote[6].end |
24.65159375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
24.65159375 |
| transcript.pyannote[7].end |
24.66846875 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
24.87096875 |
| transcript.pyannote[8].end |
25.44471875 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
25.44471875 |
| transcript.pyannote[9].end |
25.46159375 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
25.84971875 |
| transcript.pyannote[10].end |
26.00159375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
26.00159375 |
| transcript.pyannote[11].end |
26.05221875 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
26.30534375 |
| transcript.pyannote[12].end |
26.37284375 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
26.37284375 |
| transcript.pyannote[13].end |
28.65096875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
28.90409375 |
| transcript.pyannote[14].end |
31.09784375 |
| transcript.pyannote[15].speaker |
SPEAKER_03 |
| transcript.pyannote[15].start |
32.16096875 |
| transcript.pyannote[15].end |
35.68784375 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
34.69221875 |
| transcript.pyannote[16].end |
36.10971875 |
| transcript.pyannote[17].speaker |
SPEAKER_03 |
| transcript.pyannote[17].start |
36.80159375 |
| transcript.pyannote[17].end |
37.49346875 |
| transcript.pyannote[18].speaker |
SPEAKER_03 |
| transcript.pyannote[18].start |
37.88159375 |
| transcript.pyannote[18].end |
39.73784375 |
| transcript.pyannote[19].speaker |
SPEAKER_03 |
| transcript.pyannote[19].start |
40.58159375 |
| transcript.pyannote[19].end |
44.95221875 |
| transcript.pyannote[20].speaker |
SPEAKER_03 |
| transcript.pyannote[20].start |
45.07034375 |
| transcript.pyannote[20].end |
46.01534375 |
| transcript.pyannote[21].speaker |
SPEAKER_03 |
| transcript.pyannote[21].start |
46.92659375 |
| transcript.pyannote[21].end |
50.45346875 |
| transcript.pyannote[22].speaker |
SPEAKER_03 |
| transcript.pyannote[22].start |
51.02721875 |
| transcript.pyannote[22].end |
52.09034375 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
52.34346875 |
| transcript.pyannote[23].end |
54.89159375 |
| transcript.pyannote[24].speaker |
SPEAKER_02 |
| transcript.pyannote[24].start |
55.16159375 |
| transcript.pyannote[24].end |
56.02221875 |
| transcript.pyannote[25].speaker |
SPEAKER_02 |
| transcript.pyannote[25].start |
56.93346875 |
| transcript.pyannote[25].end |
57.92909375 |
| transcript.pyannote[26].speaker |
SPEAKER_03 |
| transcript.pyannote[26].start |
57.92909375 |
| transcript.pyannote[26].end |
57.96284375 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
57.96284375 |
| transcript.pyannote[27].end |
58.60409375 |
| transcript.pyannote[28].speaker |
SPEAKER_02 |
| transcript.pyannote[28].start |
59.00909375 |
| transcript.pyannote[28].end |
62.63721875 |
| transcript.pyannote[29].speaker |
SPEAKER_02 |
| transcript.pyannote[29].start |
64.29096875 |
| transcript.pyannote[29].end |
68.12159375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
65.59034375 |
| transcript.pyannote[30].end |
67.80096875 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
68.27346875 |
| transcript.pyannote[31].end |
68.59409375 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
68.72909375 |
| transcript.pyannote[32].end |
79.10721875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
70.34909375 |
| transcript.pyannote[33].end |
71.98596875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
79.42784375 |
| transcript.pyannote[34].end |
87.02159375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
86.04284375 |
| transcript.pyannote[35].end |
88.03409375 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
89.21534375 |
| transcript.pyannote[36].end |
89.23221875 |
| transcript.pyannote[37].speaker |
SPEAKER_03 |
| transcript.pyannote[37].start |
89.23221875 |
| transcript.pyannote[37].end |
98.05784375 |
| transcript.pyannote[38].speaker |
SPEAKER_03 |
| transcript.pyannote[38].start |
98.51346875 |
| transcript.pyannote[38].end |
100.20096875 |
| transcript.pyannote[39].speaker |
SPEAKER_03 |
| transcript.pyannote[39].start |
100.85909375 |
| transcript.pyannote[39].end |
102.02346875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
102.02346875 |
| transcript.pyannote[40].end |
102.25971875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
103.13721875 |
| transcript.pyannote[41].end |
107.57534375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
107.65971875 |
| transcript.pyannote[42].end |
109.02659375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
109.83659375 |
| transcript.pyannote[43].end |
112.26659375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
112.33409375 |
| transcript.pyannote[44].end |
112.68846875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
113.09346875 |
| transcript.pyannote[45].end |
115.32096875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
115.54034375 |
| transcript.pyannote[46].end |
118.27409375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
118.54409375 |
| transcript.pyannote[47].end |
121.05846875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
121.85159375 |
| transcript.pyannote[48].end |
124.28159375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
125.22659375 |
| transcript.pyannote[49].end |
127.20096875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
128.04471875 |
| transcript.pyannote[50].end |
131.23409375 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
131.47034375 |
| transcript.pyannote[51].end |
132.02721875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
132.41534375 |
| transcript.pyannote[52].end |
134.01846875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
134.01846875 |
| transcript.pyannote[53].end |
134.03534375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
135.13221875 |
| transcript.pyannote[54].end |
135.14909375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
135.14909375 |
| transcript.pyannote[55].end |
135.50346875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
135.77346875 |
| transcript.pyannote[56].end |
136.19534375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
136.36409375 |
| transcript.pyannote[57].end |
141.93284375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
142.16909375 |
| transcript.pyannote[58].end |
144.44721875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
144.75096875 |
| transcript.pyannote[59].end |
161.42346875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
160.19159375 |
| transcript.pyannote[60].end |
169.70909375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
166.60409375 |
| transcript.pyannote[61].end |
166.89096875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
167.34659375 |
| transcript.pyannote[62].end |
167.39721875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
170.51909375 |
| transcript.pyannote[63].end |
172.05471875 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
172.47659375 |
| transcript.pyannote[64].end |
178.88909375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
179.32784375 |
| transcript.pyannote[65].end |
182.58471875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
183.41159375 |
| transcript.pyannote[66].end |
184.55909375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
184.91346875 |
| transcript.pyannote[67].end |
188.28846875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
188.87909375 |
| transcript.pyannote[68].end |
189.63846875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
190.02659375 |
| transcript.pyannote[69].end |
191.03909375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
191.19096875 |
| transcript.pyannote[70].end |
192.50721875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
193.30034375 |
| transcript.pyannote[71].end |
194.12721875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
194.78534375 |
| transcript.pyannote[72].end |
198.21096875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
198.70034375 |
| transcript.pyannote[73].end |
200.80971875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
201.31596875 |
| transcript.pyannote[74].end |
205.43346875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
205.80471875 |
| transcript.pyannote[75].end |
208.53846875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
208.67346875 |
| transcript.pyannote[76].end |
211.89659375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
212.21721875 |
| transcript.pyannote[77].end |
213.39846875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
213.97221875 |
| transcript.pyannote[78].end |
215.91284375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
216.28409375 |
| transcript.pyannote[79].end |
217.51596875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
218.27534375 |
| transcript.pyannote[80].end |
221.02596875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
221.78534375 |
| transcript.pyannote[81].end |
223.84409375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
224.16471875 |
| transcript.pyannote[82].end |
225.02534375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
225.02534375 |
| transcript.pyannote[83].end |
236.02784375 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
228.16409375 |
| transcript.pyannote[84].end |
228.95721875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
236.12909375 |
| transcript.pyannote[85].end |
237.83346875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
237.88409375 |
| transcript.pyannote[86].end |
240.21284375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
240.65159375 |
| transcript.pyannote[87].end |
247.48596875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
247.72221875 |
| transcript.pyannote[88].end |
249.02159375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
249.35909375 |
| transcript.pyannote[89].end |
250.28721875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
250.43909375 |
| transcript.pyannote[90].end |
251.29971875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
251.43471875 |
| transcript.pyannote[91].end |
254.55659375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
255.07971875 |
| transcript.pyannote[92].end |
258.55596875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
258.84284375 |
| transcript.pyannote[93].end |
260.07471875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
260.36159375 |
| transcript.pyannote[94].end |
263.63534375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
261.94784375 |
| transcript.pyannote[95].end |
275.31284375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
264.25971875 |
| transcript.pyannote[96].end |
265.96409375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
274.41846875 |
| transcript.pyannote[97].end |
288.22221875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
286.97346875 |
| transcript.pyannote[98].end |
288.45846875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
288.99846875 |
| transcript.pyannote[99].end |
294.61784375 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
295.15784375 |
| transcript.pyannote[100].end |
297.38534375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
297.80721875 |
| transcript.pyannote[101].end |
301.77284375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
301.99221875 |
| transcript.pyannote[102].end |
305.97471875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
305.97471875 |
| transcript.pyannote[103].end |
306.02534375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
306.10971875 |
| transcript.pyannote[104].end |
307.03784375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
307.03784375 |
| transcript.pyannote[105].end |
307.64534375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
307.98284375 |
| transcript.pyannote[106].end |
307.99971875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
307.99971875 |
| transcript.pyannote[107].end |
308.48909375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
308.87721875 |
| transcript.pyannote[108].end |
321.22971875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
309.75471875 |
| transcript.pyannote[109].end |
311.35784375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
316.06596875 |
| transcript.pyannote[110].end |
316.96034375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
318.47909375 |
| transcript.pyannote[111].end |
319.45784375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
321.48284375 |
| transcript.pyannote[112].end |
323.92971875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
324.01409375 |
| transcript.pyannote[113].end |
326.96721875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
324.08159375 |
| transcript.pyannote[114].end |
324.97596875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
326.96721875 |
| transcript.pyannote[115].end |
327.55784375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
327.77721875 |
| transcript.pyannote[116].end |
337.44659375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
333.85221875 |
| transcript.pyannote[117].end |
336.97409375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
338.10471875 |
| transcript.pyannote[118].end |
342.37409375 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
342.88034375 |
| transcript.pyannote[119].end |
366.70784375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
366.70784375 |
| transcript.pyannote[120].end |
366.72471875 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
367.18034375 |
| transcript.pyannote[121].end |
368.02409375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
368.02409375 |
| transcript.pyannote[122].end |
382.51971875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
382.68846875 |
| transcript.pyannote[123].end |
384.66284375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
384.89909375 |
| transcript.pyannote[124].end |
395.37846875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
392.18909375 |
| transcript.pyannote[125].end |
404.28846875 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
404.45721875 |
| transcript.pyannote[126].end |
419.25659375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
419.25659375 |
| transcript.pyannote[127].end |
421.82159375 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
421.99034375 |
| transcript.pyannote[128].end |
428.97659375 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
425.61846875 |
| transcript.pyannote[129].end |
426.93471875 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
428.97659375 |
| transcript.pyannote[130].end |
433.26284375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
430.02284375 |
| transcript.pyannote[131].end |
430.37721875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
431.72721875 |
| transcript.pyannote[132].end |
433.61721875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
433.61721875 |
| transcript.pyannote[133].end |
442.03784375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
434.32596875 |
| transcript.pyannote[134].end |
434.91659375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
440.68784375 |
| transcript.pyannote[135].end |
440.87346875 |
| transcript.pyannote[136].speaker |
SPEAKER_03 |
| transcript.pyannote[136].start |
443.53971875 |
| transcript.pyannote[136].end |
445.98659375 |
| transcript.pyannote[137].speaker |
SPEAKER_03 |
| transcript.pyannote[137].start |
447.79221875 |
| transcript.pyannote[137].end |
449.26034375 |
| transcript.whisperx[0].start |
10.701 |
| transcript.whisperx[0].end |
20.95 |
| transcript.whisperx[0].text |
謝謝主席,有請內政部以及農業部的部長,內政部的次長還有經濟部的次長,幾位長官,您需要嗎?好,有請內政部、農業部跟這個 |
| transcript.whisperx[1].start |
24.492 |
| transcript.whisperx[1].end |
50.053 |
| transcript.whisperx[1].text |
經濟部 台委員好那個農業部長請問你你們變無人機的預算變多少應該是兩億吧我記得不是兩億啦 什麼兩億什麼兩億 現在公共的我如果沒有記錯的話不過這個資訊我想我回去再確認再跟委員報告農業部幾十億有什麼兩億內政部變多少內政部應該沒有到十幾十 |
| transcript.whisperx[2].start |
52.707 |
| transcript.whisperx[2].end |
59.563 |
| transcript.whisperx[2].text |
委員好 我們內政部是編2億5千多萬你們整體編28億我報告的是那個無人載具的 |
| transcript.whisperx[3].start |
65.71 |
| transcript.whisperx[3].end |
87.783 |
| transcript.whisperx[3].text |
28億喔 農業部也是幾十億喔我們編兩億多 我們是幫忙你查一下 我們查一下 你說28億喔你可能不知道我們的無人機經費 我們是總共要採購大概280我們是要依規範採購289架所以大概兩億多 而且是用在國家公務員署 警政 消防農業部的無人機用在哪裡 |
| transcript.whisperx[4].start |
89.273 |
| transcript.whisperx[4].end |
111.343 |
| transcript.whisperx[4].text |
我們最主要是在應用端 包括從我們的那些無人機做航照以後就做地面判試 做無人機的噴藥 做無人機的巡檢就是噴農藥 那個兩位市長就請回 部長跟市長請回那個何市長接下來 因為跟你經濟部很有關係 |
| transcript.whisperx[5].start |
113.274 |
| transcript.whisperx[5].end |
133.898 |
| transcript.whisperx[5].text |
無人機整個的發展現在我先提到一個機器人你們現在機器人要打造所謂的百億機器人這個很多人都提到這都是大陸的機器人 天牌啊這個比例高達七八成以上你們現在有沒有去了解這個東西這個目前的話我們是有一個無人機的 就是機器人的一個 |
| transcript.whisperx[6].start |
142.62 |
| transcript.whisperx[6].end |
162.314 |
| transcript.whisperx[6].text |
發展這個計畫那也是結合跨部會就是包括國科衛包括數位部還有經濟部大家一起共同來執行那目前我們是在這個沙崙也有一個那個機器人的一個一個研發中心然後不是跟你講喔你們機器人要5年內投入400億到產能從40億到500億來不管機器人或者無人機 |
| transcript.whisperx[7].start |
170.578 |
| transcript.whisperx[7].end |
181.994 |
| transcript.whisperx[7].text |
有一個很重要的概念所以現在這個政府要推動叫非紅工運鏈那我們就看一下市佔率無人機的市佔率我現在是無人機跟機器人一起講 |
| transcript.whisperx[8].start |
183.579 |
| transcript.whisperx[8].end |
192.325 |
| transcript.whisperx[8].text |
市佔率大陸的大疆70%全世界第二名大陸的道通字母佔4%再過來12345第五名這個翱翔佔 |
| transcript.whisperx[9].start |
202.252 |
| transcript.whisperx[9].end |
210.282 |
| transcript.whisperx[9].text |
1.5% 再過來一航站1%前面你可以看喔它幾乎佔了75%到80%都是中國大陸的無人機啊那我們現在來講的話飛鴻供應鏈 |
| transcript.whisperx[10].start |
218.362 |
| transcript.whisperx[10].end |
243.663 |
| transcript.whisperx[10].text |
配合供應鏈其實你要避開大陸的關鍵民主圈不是很容易的事情喔市長你們具體怎麼做配合供應鏈怎麼做其實民主國家大概也都發現這個問題那其實這也是台灣的機會因為台灣現在其實我們從出口數據來看今年一到三月我們出口到這個 |
| transcript.whisperx[11].start |
245.785 |
| transcript.whisperx[11].end |
263.691 |
| transcript.whisperx[11].text |
波蘭或捷克這些國家的無人機的這個金額大概1.15億美金左右已經超過去年一整年的這個金額所以也就是說我們現在其實民主...我們做得到嗎?我們已經有一些核心的控制導航動力我們能做什麼?通訊傳遞這個大陸很強啊 |
| transcript.whisperx[12].start |
275.135 |
| transcript.whisperx[12].end |
296.832 |
| transcript.whisperx[12].text |
我們已經有盤點了所以我們現在針對台灣比較欠缺的技術缺口三菁二卵的部分這個部分我們又透過研發補助那也透過一些國際合作現在我跟你講外界不斷的質疑這一點就是我們的關鍵領域優先是跟國外買的可是買在它裡面也是沒電錢啦 |
| transcript.whisperx[13].start |
297.893 |
| transcript.whisperx[13].end |
325.047 |
| transcript.whisperx[13].text |
所以真的要擺脫飛鴻公園你是一個一個猜嗎 你怎麼做我就問你How to do it你怎麼做到確保我們的民主圈都是飛鴻當然我們定一個標準我們這個無人機也成立一個海外商機聯盟時間到了你要緊緊聯盟的廠商其實都是MIT的廠商而且他也可以有整機製造的能力我剛才給你數字了你再回過來 |
| transcript.whisperx[14].start |
328.149 |
| transcript.whisperx[14].end |
335.219 |
| transcript.whisperx[14].text |
這個全世界最多的是那個是這個中國大陸的我們再看第二張小陽再跟你講喔有一個作法就是告訴你這一張 |
| transcript.whisperx[15].start |
338.474 |
| transcript.whisperx[15].end |
366.482 |
| transcript.whisperx[15].text |
這是台營共同供應契約以前的中信局訓練用的單價3.4萬空拍用的25.2萬初階巡檢用的51萬高階巡檢用的63.6萬遠距街市用的111萬運輸用的135萬這個都是透過我們公交的台營的共同供應契約以前的中信局這樣子就可以確保 |
| transcript.whisperx[16].start |
367.282 |
| transcript.whisperx[16].end |
388.768 |
| transcript.whisperx[16].text |
真的你可以做到飛鴻供應鏈這個做法可以貿易運動車廠跟我們報告工程會已經也制定了一個我們怎麼樣確保我們政府機關採購的這些無人機它是一個裡面有飛鴻供應鏈的這個產品所以也訂了一個指引所以未來我們在做公共工程這個工農採購的時候就各部會就要確保 |
| transcript.whisperx[17].start |
392.329 |
| transcript.whisperx[17].end |
395.731 |
| transcript.whisperx[17].text |
我現在問你 如果啊 你就告訴我是不是未來都採取這個 乾脆你經濟部要發展我們通通統一規範 經濟部做八張桃你要來整個帶領 產力發展是經濟部的事 你們帶領 |
| transcript.whisperx[18].start |
410.299 |
| transcript.whisperx[18].end |
413.502 |
| transcript.whisperx[18].text |
然後未來的對外採購都是用這種叫共同供應契約這樣子才能夠純度採購否則的話我跟你打拋錶你做不到飛鴻供應鏈是 我們現在政府的採購就是朝著這個飛鴻供應鏈的這樣的一個要不要透過這個啦 |
| transcript.whisperx[19].start |
428.733 |
| transcript.whisperx[19].end |
440.946 |
| transcript.whisperx[19].text |
共同供應契約來我就問你這個題目啦是沒錯是這樣子百分之百喔 沒錯百分之百喔 是透過共同供應契約 是的我就問你這一點 好不好否則你做不到這個我剛打電話絕對做不到謝謝好 謝謝蕾斯巴委員 謝謝經濟部接下來我們有請邱惠勳 |