| IVOD_ID |
170508 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/170508 |
| 日期 |
2026-07-16 |
| 會議資料.會議代碼 |
聯席會議-11-5-19,35,20-1 |
| 會議資料.會議代碼:str |
第11屆第5會期經濟、外交及國防、財政三委員會第1次聯席會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
1 |
| 會議資料.種類 |
聯席會議 |
| 會議資料.委員會代碼[0] |
19 |
| 會議資料.委員會代碼[1] |
35 |
| 會議資料.委員會代碼[2] |
20 |
| 會議資料.委員會代碼:str[0] |
經濟委員會 |
| 會議資料.委員會代碼:str[1] |
外交及國防委員會 |
| 會議資料.委員會代碼:str[2] |
財政委員會 |
| 會議資料.標題 |
第11屆第5會期經濟、外交及國防、財政三委員會第1次聯席會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-07-16T10:54:45+08:00 |
| 結束時間 |
2026-07-16T11:02:58+08:00 |
| 影片長度 |
00:08:13 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/c57864e9296d4775d8c2e8288d5e389d1ac734a26d834dc4cd2db9a171d41d2ca1134436d75394885ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
呂玉玲 |
| 委員發言時間 |
10:54:45 - 11:02:58 |
| 會議時間 |
2026-07-16T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期經濟、外交及國防、財政三委員會第1次聯席會議(事由:併案審查:
一、 行政院函請審議「國防自主無人載具採購特別條例草案」案。
二、 本院委員林楚茵等17人擬具「國防自主無人載具採購特別條例草案」案。
三、 本院台灣民眾黨黨團擬具「強化國防自主暨無人機產業發展條例草案」案。
四、 本院國民黨黨團擬具「國防自主無人載具科技發展及採購條例草案」案。(僅詢答)(以上各案如未接獲院會交付審查之議事處來文,則不予審查)) |
| transcript.pyannote[0].speaker |
SPEAKER_04 |
| transcript.pyannote[0].start |
7.82721875 |
| transcript.pyannote[0].end |
15.69096875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
14.56034375 |
| transcript.pyannote[1].end |
16.93971875 |
| transcript.pyannote[2].speaker |
SPEAKER_04 |
| transcript.pyannote[2].start |
20.98971875 |
| transcript.pyannote[2].end |
21.51284375 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
21.71534375 |
| transcript.pyannote[3].end |
22.44096875 |
| transcript.pyannote[4].speaker |
SPEAKER_04 |
| transcript.pyannote[4].start |
22.74471875 |
| transcript.pyannote[4].end |
27.45284375 |
| transcript.pyannote[5].speaker |
SPEAKER_04 |
| transcript.pyannote[5].start |
27.62159375 |
| transcript.pyannote[5].end |
38.15159375 |
| transcript.pyannote[6].speaker |
SPEAKER_04 |
| transcript.pyannote[6].start |
38.28659375 |
| transcript.pyannote[6].end |
45.15471875 |
| transcript.pyannote[7].speaker |
SPEAKER_04 |
| transcript.pyannote[7].start |
45.64409375 |
| transcript.pyannote[7].end |
66.43409375 |
| transcript.pyannote[8].speaker |
SPEAKER_04 |
| transcript.pyannote[8].start |
67.12596875 |
| transcript.pyannote[8].end |
67.64909375 |
| transcript.pyannote[9].speaker |
SPEAKER_04 |
| transcript.pyannote[9].start |
68.44221875 |
| transcript.pyannote[9].end |
70.45034375 |
| transcript.pyannote[10].speaker |
SPEAKER_04 |
| transcript.pyannote[10].start |
71.44596875 |
| transcript.pyannote[10].end |
71.46284375 |
| transcript.pyannote[11].speaker |
SPEAKER_03 |
| transcript.pyannote[11].start |
71.46284375 |
| transcript.pyannote[11].end |
71.88471875 |
| transcript.pyannote[12].speaker |
SPEAKER_03 |
| transcript.pyannote[12].start |
72.44159375 |
| transcript.pyannote[12].end |
81.18284375 |
| transcript.pyannote[13].speaker |
SPEAKER_04 |
| transcript.pyannote[13].start |
73.03221875 |
| transcript.pyannote[13].end |
73.26846875 |
| transcript.pyannote[14].speaker |
SPEAKER_04 |
| transcript.pyannote[14].start |
80.18721875 |
| transcript.pyannote[14].end |
80.65971875 |
| transcript.pyannote[15].speaker |
SPEAKER_04 |
| transcript.pyannote[15].start |
81.18284375 |
| transcript.pyannote[15].end |
91.93221875 |
| transcript.pyannote[16].speaker |
SPEAKER_03 |
| transcript.pyannote[16].start |
81.25034375 |
| transcript.pyannote[16].end |
81.62159375 |
| transcript.pyannote[17].speaker |
SPEAKER_04 |
| transcript.pyannote[17].start |
92.45534375 |
| transcript.pyannote[17].end |
97.50096875 |
| transcript.pyannote[18].speaker |
SPEAKER_04 |
| transcript.pyannote[18].start |
97.70346875 |
| transcript.pyannote[18].end |
99.05346875 |
| transcript.pyannote[19].speaker |
SPEAKER_04 |
| transcript.pyannote[19].start |
99.42471875 |
| transcript.pyannote[19].end |
100.06596875 |
| transcript.pyannote[20].speaker |
SPEAKER_04 |
| transcript.pyannote[20].start |
100.25159375 |
| transcript.pyannote[20].end |
117.64971875 |
| transcript.pyannote[21].speaker |
SPEAKER_03 |
| transcript.pyannote[21].start |
118.24034375 |
| transcript.pyannote[21].end |
129.20909375 |
| transcript.pyannote[22].speaker |
SPEAKER_04 |
| transcript.pyannote[22].start |
121.10909375 |
| transcript.pyannote[22].end |
122.12159375 |
| transcript.pyannote[23].speaker |
SPEAKER_04 |
| transcript.pyannote[23].start |
128.56784375 |
| transcript.pyannote[23].end |
128.95596875 |
| transcript.pyannote[24].speaker |
SPEAKER_03 |
| transcript.pyannote[24].start |
129.31034375 |
| transcript.pyannote[24].end |
131.99346875 |
| transcript.pyannote[25].speaker |
SPEAKER_04 |
| transcript.pyannote[25].start |
129.88409375 |
| transcript.pyannote[25].end |
130.55909375 |
| transcript.pyannote[26].speaker |
SPEAKER_04 |
| transcript.pyannote[26].start |
130.87971875 |
| transcript.pyannote[26].end |
131.95971875 |
| transcript.pyannote[27].speaker |
SPEAKER_04 |
| transcript.pyannote[27].start |
131.99346875 |
| transcript.pyannote[27].end |
133.47846875 |
| transcript.pyannote[28].speaker |
SPEAKER_04 |
| transcript.pyannote[28].start |
133.95096875 |
| transcript.pyannote[28].end |
147.02909375 |
| transcript.pyannote[29].speaker |
SPEAKER_03 |
| transcript.pyannote[29].start |
147.02909375 |
| transcript.pyannote[29].end |
149.45909375 |
| transcript.pyannote[30].speaker |
SPEAKER_03 |
| transcript.pyannote[30].start |
150.03284375 |
| transcript.pyannote[30].end |
153.17159375 |
| transcript.pyannote[31].speaker |
SPEAKER_03 |
| transcript.pyannote[31].start |
153.45846875 |
| transcript.pyannote[31].end |
164.64659375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
158.31846875 |
| transcript.pyannote[32].end |
158.45346875 |
| transcript.pyannote[33].speaker |
SPEAKER_04 |
| transcript.pyannote[33].start |
158.45346875 |
| transcript.pyannote[33].end |
158.97659375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
158.97659375 |
| transcript.pyannote[34].end |
159.04409375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
159.66846875 |
| transcript.pyannote[35].end |
159.76971875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
160.41096875 |
| transcript.pyannote[36].end |
160.49534375 |
| transcript.pyannote[37].speaker |
SPEAKER_04 |
| transcript.pyannote[37].start |
160.49534375 |
| transcript.pyannote[37].end |
161.37284375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
161.37284375 |
| transcript.pyannote[38].end |
162.03096875 |
| transcript.pyannote[39].speaker |
SPEAKER_04 |
| transcript.pyannote[39].start |
162.03096875 |
| transcript.pyannote[39].end |
162.95909375 |
| transcript.pyannote[40].speaker |
SPEAKER_03 |
| transcript.pyannote[40].start |
164.74784375 |
| transcript.pyannote[40].end |
168.05534375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
165.64221875 |
| transcript.pyannote[41].end |
165.67596875 |
| transcript.pyannote[42].speaker |
SPEAKER_04 |
| transcript.pyannote[42].start |
165.67596875 |
| transcript.pyannote[42].end |
167.11034375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
167.11034375 |
| transcript.pyannote[43].end |
167.22846875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
167.27909375 |
| transcript.pyannote[44].end |
167.61659375 |
| transcript.pyannote[45].speaker |
SPEAKER_03 |
| transcript.pyannote[45].start |
168.13971875 |
| transcript.pyannote[45].end |
171.07596875 |
| transcript.pyannote[46].speaker |
SPEAKER_03 |
| transcript.pyannote[46].start |
171.22784375 |
| transcript.pyannote[46].end |
178.24784375 |
| transcript.pyannote[47].speaker |
SPEAKER_04 |
| transcript.pyannote[47].start |
173.92784375 |
| transcript.pyannote[47].end |
175.14284375 |
| transcript.pyannote[48].speaker |
SPEAKER_04 |
| transcript.pyannote[48].start |
175.71659375 |
| transcript.pyannote[48].end |
183.39471875 |
| transcript.pyannote[49].speaker |
SPEAKER_03 |
| transcript.pyannote[49].start |
183.39471875 |
| transcript.pyannote[49].end |
186.21284375 |
| transcript.pyannote[50].speaker |
SPEAKER_04 |
| transcript.pyannote[50].start |
184.32284375 |
| transcript.pyannote[50].end |
184.96409375 |
| transcript.pyannote[51].speaker |
SPEAKER_04 |
| transcript.pyannote[51].start |
185.75721875 |
| transcript.pyannote[51].end |
192.15284375 |
| transcript.pyannote[52].speaker |
SPEAKER_03 |
| transcript.pyannote[52].start |
190.70159375 |
| transcript.pyannote[52].end |
192.97971875 |
| transcript.pyannote[53].speaker |
SPEAKER_03 |
| transcript.pyannote[53].start |
193.16534375 |
| transcript.pyannote[53].end |
196.69221875 |
| transcript.pyannote[54].speaker |
SPEAKER_03 |
| transcript.pyannote[54].start |
196.96221875 |
| transcript.pyannote[54].end |
198.48096875 |
| transcript.pyannote[55].speaker |
SPEAKER_03 |
| transcript.pyannote[55].start |
198.83534375 |
| transcript.pyannote[55].end |
199.76346875 |
| transcript.pyannote[56].speaker |
SPEAKER_04 |
| transcript.pyannote[56].start |
199.76346875 |
| transcript.pyannote[56].end |
199.83096875 |
| transcript.pyannote[57].speaker |
SPEAKER_04 |
| transcript.pyannote[57].start |
200.08409375 |
| transcript.pyannote[57].end |
200.11784375 |
| transcript.pyannote[58].speaker |
SPEAKER_03 |
| transcript.pyannote[58].start |
200.11784375 |
| transcript.pyannote[58].end |
200.97846875 |
| transcript.pyannote[59].speaker |
SPEAKER_04 |
| transcript.pyannote[59].start |
200.97846875 |
| transcript.pyannote[59].end |
201.43409375 |
| transcript.pyannote[60].speaker |
SPEAKER_04 |
| transcript.pyannote[60].start |
201.95721875 |
| transcript.pyannote[60].end |
207.76221875 |
| transcript.pyannote[61].speaker |
SPEAKER_04 |
| transcript.pyannote[61].start |
207.77909375 |
| transcript.pyannote[61].end |
230.40846875 |
| transcript.pyannote[62].speaker |
SPEAKER_03 |
| transcript.pyannote[62].start |
230.74596875 |
| transcript.pyannote[62].end |
235.89284375 |
| transcript.pyannote[63].speaker |
SPEAKER_03 |
| transcript.pyannote[63].start |
236.23034375 |
| transcript.pyannote[63].end |
237.54659375 |
| transcript.pyannote[64].speaker |
SPEAKER_03 |
| transcript.pyannote[64].start |
237.59721875 |
| transcript.pyannote[64].end |
245.83221875 |
| transcript.pyannote[65].speaker |
SPEAKER_04 |
| transcript.pyannote[65].start |
243.08159375 |
| transcript.pyannote[65].end |
243.48659375 |
| transcript.pyannote[66].speaker |
SPEAKER_03 |
| transcript.pyannote[66].start |
245.96721875 |
| transcript.pyannote[66].end |
246.42284375 |
| transcript.pyannote[67].speaker |
SPEAKER_03 |
| transcript.pyannote[67].start |
246.74346875 |
| transcript.pyannote[67].end |
247.36784375 |
| transcript.pyannote[68].speaker |
SPEAKER_03 |
| transcript.pyannote[68].start |
248.38034375 |
| transcript.pyannote[68].end |
249.59534375 |
| transcript.pyannote[69].speaker |
SPEAKER_03 |
| transcript.pyannote[69].start |
250.40534375 |
| transcript.pyannote[69].end |
250.43909375 |
| transcript.pyannote[70].speaker |
SPEAKER_04 |
| transcript.pyannote[70].start |
250.43909375 |
| transcript.pyannote[70].end |
255.40034375 |
| transcript.pyannote[71].speaker |
SPEAKER_03 |
| transcript.pyannote[71].start |
252.58221875 |
| transcript.pyannote[71].end |
253.32471875 |
| transcript.pyannote[72].speaker |
SPEAKER_03 |
| transcript.pyannote[72].start |
254.53971875 |
| transcript.pyannote[72].end |
263.82096875 |
| transcript.pyannote[73].speaker |
SPEAKER_03 |
| transcript.pyannote[73].start |
263.98971875 |
| transcript.pyannote[73].end |
268.59659375 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
269.30534375 |
| transcript.pyannote[74].end |
273.82784375 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
273.91221875 |
| transcript.pyannote[75].end |
277.08471875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
277.45596875 |
| transcript.pyannote[76].end |
277.48971875 |
| transcript.pyannote[77].speaker |
SPEAKER_04 |
| transcript.pyannote[77].start |
277.48971875 |
| transcript.pyannote[77].end |
278.18159375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
278.18159375 |
| transcript.pyannote[78].end |
300.79409375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
285.75846875 |
| transcript.pyannote[79].end |
286.29846875 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
301.18221875 |
| transcript.pyannote[80].end |
306.58221875 |
| transcript.pyannote[81].speaker |
SPEAKER_04 |
| transcript.pyannote[81].start |
306.95346875 |
| transcript.pyannote[81].end |
318.71534375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
312.65721875 |
| transcript.pyannote[82].end |
313.11284375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
313.11284375 |
| transcript.pyannote[83].end |
313.12971875 |
| transcript.pyannote[84].speaker |
SPEAKER_04 |
| transcript.pyannote[84].start |
319.03596875 |
| transcript.pyannote[84].end |
332.01284375 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
332.01284375 |
| transcript.pyannote[85].end |
373.05284375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
358.01721875 |
| transcript.pyannote[86].end |
358.37159375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
359.77221875 |
| transcript.pyannote[87].end |
360.49784375 |
| transcript.pyannote[88].speaker |
SPEAKER_04 |
| transcript.pyannote[88].start |
372.20909375 |
| transcript.pyannote[88].end |
372.49596875 |
| transcript.pyannote[89].speaker |
SPEAKER_04 |
| transcript.pyannote[89].start |
373.00221875 |
| transcript.pyannote[89].end |
373.39034375 |
| transcript.pyannote[90].speaker |
SPEAKER_04 |
| transcript.pyannote[90].start |
373.76159375 |
| transcript.pyannote[90].end |
381.96284375 |
| transcript.pyannote[91].speaker |
SPEAKER_04 |
| transcript.pyannote[91].start |
382.14846875 |
| transcript.pyannote[91].end |
383.51534375 |
| transcript.pyannote[92].speaker |
SPEAKER_04 |
| transcript.pyannote[92].start |
383.93721875 |
| transcript.pyannote[92].end |
386.19846875 |
| transcript.pyannote[93].speaker |
SPEAKER_04 |
| transcript.pyannote[93].start |
386.56971875 |
| transcript.pyannote[93].end |
402.02721875 |
| transcript.pyannote[94].speaker |
SPEAKER_03 |
| transcript.pyannote[94].start |
402.02721875 |
| transcript.pyannote[94].end |
412.96221875 |
| transcript.pyannote[95].speaker |
SPEAKER_04 |
| transcript.pyannote[95].start |
405.77346875 |
| transcript.pyannote[95].end |
406.39784375 |
| transcript.pyannote[96].speaker |
SPEAKER_04 |
| transcript.pyannote[96].start |
406.54971875 |
| transcript.pyannote[96].end |
408.22034375 |
| transcript.pyannote[97].speaker |
SPEAKER_04 |
| transcript.pyannote[97].start |
408.35534375 |
| transcript.pyannote[97].end |
418.21034375 |
| transcript.pyannote[98].speaker |
SPEAKER_03 |
| transcript.pyannote[98].start |
414.63284375 |
| transcript.pyannote[98].end |
415.39221875 |
| transcript.pyannote[99].speaker |
SPEAKER_04 |
| transcript.pyannote[99].start |
418.46346875 |
| transcript.pyannote[99].end |
421.39971875 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
419.61096875 |
| transcript.pyannote[100].end |
423.28971875 |
| transcript.pyannote[101].speaker |
SPEAKER_02 |
| transcript.pyannote[101].start |
423.74534375 |
| transcript.pyannote[101].end |
424.38659375 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
424.45409375 |
| transcript.pyannote[102].end |
426.51284375 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
427.05284375 |
| transcript.pyannote[103].end |
427.74471875 |
| transcript.pyannote[104].speaker |
SPEAKER_02 |
| transcript.pyannote[104].start |
428.08221875 |
| transcript.pyannote[104].end |
431.25471875 |
| transcript.pyannote[105].speaker |
SPEAKER_02 |
| transcript.pyannote[105].start |
431.55846875 |
| transcript.pyannote[105].end |
437.19471875 |
| transcript.pyannote[106].speaker |
SPEAKER_04 |
| transcript.pyannote[106].start |
437.14409375 |
| transcript.pyannote[106].end |
454.45784375 |
| transcript.pyannote[107].speaker |
SPEAKER_04 |
| transcript.pyannote[107].start |
454.71096875 |
| transcript.pyannote[107].end |
462.47346875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
462.47346875 |
| transcript.pyannote[108].end |
462.49034375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
463.41846875 |
| transcript.pyannote[109].end |
465.49409375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
465.88221875 |
| transcript.pyannote[110].end |
479.61846875 |
| transcript.pyannote[111].speaker |
SPEAKER_04 |
| transcript.pyannote[111].start |
477.37409375 |
| transcript.pyannote[111].end |
481.37346875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
481.37346875 |
| transcript.pyannote[112].end |
482.79096875 |
| transcript.pyannote[113].speaker |
SPEAKER_04 |
| transcript.pyannote[113].start |
482.25096875 |
| transcript.pyannote[113].end |
484.63034375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
484.63034375 |
| transcript.pyannote[114].end |
486.26721875 |
| transcript.pyannote[115].speaker |
SPEAKER_04 |
| transcript.pyannote[115].start |
486.26721875 |
| transcript.pyannote[115].end |
487.46534375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
486.28409375 |
| transcript.pyannote[116].end |
487.70159375 |
| transcript.pyannote[117].speaker |
SPEAKER_04 |
| transcript.pyannote[117].start |
487.49909375 |
| transcript.pyannote[117].end |
490.94159375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
490.94159375 |
| transcript.pyannote[118].end |
492.27471875 |
| transcript.whisperx[0].start |
8.247 |
| transcript.whisperx[0].end |
12.511 |
| transcript.whisperx[0].text |
謝謝主席 請經濟部的何次長 國防部的顧部長還有國發會的蕭處長 |
| transcript.whisperx[1].start |
21.035 |
| transcript.whisperx[1].end |
44.8 |
| transcript.whisperx[1].text |
何市長本席在這邊很懷疑今天我們的工部長沒有來今天我們要討論的是無人載具產業的發展這跟我們經濟部有高度的相關反正我們經濟部長沒有來反正是我們國防部長有出席很多人在說無人機的採購不關經濟部的事所以本席在這邊一定要提一下 |
| transcript.whisperx[2].start |
45.76 |
| transcript.whisperx[2].end |
66.232 |
| transcript.whisperx[2].text |
我們有個台灣卓越無人機海外商機聯盟成立的宗旨是要促進台灣無人機產業的發展鄰居者共識展現無人機產業的決心推動國際的合作以市場拓展建立非紅供應鏈何市長這個聯盟是誰在推動的 |
| transcript.whisperx[3].start |
72.512 |
| transcript.whisperx[3].end |
91.434 |
| transcript.whisperx[3].text |
是誰推動的這個目前聯盟的主席是這個漢翔是誰推動的是我們經濟部推動的我們經濟部在支持就是我們經濟部推動的所以主管機關由經濟部來統籌有什麼錯呢而且在這個無能載具這個產業我們經濟部是走了非常前面的站在無能機 |
| transcript.whisperx[4].start |
92.795 |
| transcript.whisperx[4].end |
116.593 |
| transcript.whisperx[4].text |
這個無人載具這個產業的發展的立場我們當然是由經濟部來主管而且我們這個部分的話不只是軍用還有商用甚至我們要推向國際這只有經濟部的統籌才可以做得到至於說採購的部分當然有主管機關就是由於各自身有需要你們就去採購 對不對 |
| transcript.whisperx[5].start |
118.515 |
| transcript.whisperx[5].end |
132.754 |
| transcript.whisperx[5].text |
跟委員報告其實經濟部負責產業輔導有需要的人就去採購嘛那現在產業界需要的他是需要一個穩定的訂單我目前國內的這個無人機產業其實在技術能力上面我先請教你當然要訂單啊 |
| transcript.whisperx[6].start |
134.257 |
| transcript.whisperx[6].end |
148.959 |
| transcript.whisperx[6].text |
剛剛有提到我們國內的產業有260幾家所以我本需要問 你自己都提到了那請問一下我們有沒有訂定這個軍用無人載具的採購國產化的比例目標有訂定出來嗎 |
| transcript.whisperx[7].start |
150.32 |
| transcript.whisperx[7].end |
162.723 |
| transcript.whisperx[7].text |
目前來講我們是有對未來這個我們整個技術發展的一個軌跡啊藍圖的部分我們有設定因為國內還是有一些這樣子可以保障我們國內的產業嗎實質的保障嗎所以透過我們的這個這個缺口是哪部分技術包括一些我們的這個比方飛控飛控系統 |
| transcript.whisperx[8].start |
172.406 |
| transcript.whisperx[8].end |
196.501 |
| transcript.whisperx[8].text |
地面導控系統 籌載系統 通訊系統等等所以這樣子就可以對我們國內的無人載具的供應鏈有發展上的保障嗎當然當然 我們需要把整個區域你只要實質上的保障我們的產業才能夠在這方面做出民間的投資因為我們需要的是一個非紅供應鏈所有的零組件都一定要是在地 |
| transcript.whisperx[9].start |
197.472 |
| transcript.whisperx[9].end |
216.951 |
| transcript.whisperx[9].text |
MIT的這個產品是好那我想請問一下那這樣子的話我們知道這個無人載具的最重要的原料就是稀土對不對在這個稀土出口的國家我們去買的吧出口國家大部分九成都在中國大陸我知道你們現在開始就跟美國 |
| transcript.whisperx[10].start |
218.312 |
| transcript.whisperx[10].end |
244.672 |
| transcript.whisperx[10].text |
還有這個澳洲來採購了還有就是公園院也會將稀土的回收計畫讓我們的在稀土上有那個自給率的問題這自給率你們有沒有訂出來我們希望能夠在這個2030年齁能夠達到這個五成的這個自給率也就是說多少你們訂嗎五成的自給率五成大概多少公斤大概1500這個 |
| transcript.whisperx[11].start |
251.049 |
| transcript.whisperx[11].end |
268.08 |
| transcript.whisperx[11].text |
所以你有1500就這個量就夠我們戰備出用了有儲備了我們目前其實還有一些跟美國跟澳洲這邊的一些合作未來我們在稀土的需求上面是應該在供給的部分應該是不會有太大問題 |
| transcript.whisperx[12].start |
269.759 |
| transcript.whisperx[12].end |
285.315 |
| transcript.whisperx[12].text |
有關稀土的這個部分在無人機的一個部分是不是請從技術面稍微回答一下好 您請說其實在無人機上用到稀土的部分真的比較少其實我們用的副材反而是比較多 |
| transcript.whisperx[13].start |
285.835 |
| transcript.whisperx[13].end |
306.215 |
| transcript.whisperx[13].text |
那這個負財技術在國內其實不管是金工中心也好或是中分業也好還有很多廠商也好他都有在做發展那稀土的部分可能都是在馬達的部分在跟池有關的部分那這個部分國內的確就是我們剛剛經濟部和市長講的比例其實就是我們要去滿足這部分的需求是這樣子 |
| transcript.whisperx[14].start |
307.071 |
| transcript.whisperx[14].end |
330.278 |
| transcript.whisperx[14].text |
所以你這樣講的話稀土用量很少但是戰備的儲存我們還是要準備值的所以你的1500這個部分也要儲存著那但是剛剛我們國防部這邊來講到的話那表示說如果我們如果建軍備戰有迫切性跟那個時效性的話你們就會改用國外的是不是採購國外的 |
| transcript.whisperx[15].start |
332.079 |
| transcript.whisperx[15].end |
361.559 |
| transcript.whisperx[15].text |
沒有因為我們跟經濟部合作剛剛經濟部也一直講我們對於我們缺口的部分都有做一些盤點那事實上我們採取這個特別預算也就是著重在國防自主的產業鏈的建構上面我們有很大的信心相當大的比例都是屬於國內可以自主的但是還是有一些剛剛提到的朋友說可能是非控通訊或者看干擾的這個部分還需要跟國外但是不能跟中國也就跟國外再做一些技術合作那最好這些技術能夠移轉 |
| transcript.whisperx[16].start |
362.179 |
| transcript.whisperx[16].end |
382.941 |
| transcript.whisperx[16].text |
那這樣的話我們透過我們的需求來提又透過迭代創新來不斷的提升我們國內在無人機上面的能力那也這樣同時才能夠打入這個國際的供應鏈裡面所以顧部長你放心因為我們經濟部合走了很前面的都未從有這個商機的聯盟他的聯盟宗旨最重要最後一點就講到 |
| transcript.whisperx[17].start |
384.022 |
| transcript.whisperx[17].end |
399.769 |
| transcript.whisperx[17].text |
要建立非紅的產業鏈所以不會有大陸的你放心那所有不足的地方我們還是需要往外採購啦但是何市長您答應的就是在國內的產業裡面我們有個走向哪些部分的話國內有的我們一定要在國內來採購好不好 |
| transcript.whisperx[18].start |
402.07 |
| transcript.whisperx[18].end |
417.696 |
| transcript.whisperx[18].text |
剛剛我跟委員修正一下是公噸是噸公噸對我等你的單位數出來現在目前是1500公噸1500公噸就是我們儲備的戰略物資未來就是2022年所以1500公噸這不算少是是是顧部長這個稀土的需求也不算少 |
| transcript.whisperx[19].start |
419.257 |
| transcript.whisperx[19].end |
440.595 |
| transcript.whisperx[19].text |
所以我們當然都要配合我們在無人機的部分我想我們的需求並不高那我們也盡量包括一些電池或者引擎的部分我們盡量去在國內然後我們也盡量去減少對稀土的這些依賴的一些技術的發展所以國內有的不要隨便改到國外去購買好不好 這要注意的 |
| transcript.whisperx[20].start |
441.195 |
| transcript.whisperx[20].end |
448.663 |
| transcript.whisperx[20].text |
好那接下來要問的就是我們國發基金國發基金裡面我們現在已經有7加2的這個國發基金的專案項目那我們要發展輔導我們的產業能夠引領他來參加我們的民營來投資的話在這個無人機這個部分的話我們國發基金要不要編列專案基金 |
| transcript.whisperx[21].start |
463.742 |
| transcript.whisperx[21].end |
491.642 |
| transcript.whisperx[21].text |
跟委員報告在無人機的這一個部分國發基金目前在這個直接投資創投跟剛所提到7加2的這個百億的基金都可以來投資所以我們不要再加一項怎麼十項用無人機這個部分啊都可以來投所以要不要加一項無人機的這個專案呢這個我們來研究來研議一下百億的基金讓我們的民間投資更有信心好不好好的 謝謝 |