| IVOD_ID |
170535 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/170535 |
| 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 |
2026-07-16T12:33:03+08:00 |
| 結束時間 |
2026-07-16T12:42:13+08:00 |
| 影片長度 |
00:09:10 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/c57864e9296d4775c29a016273171b3f1ac734a26d834dc46e900f186971803a47ccdd74f879e5a25ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
陳永康 |
| 委員發言時間 |
12:33:03 - 12:42:13 |
| 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_03 |
| transcript.pyannote[0].start |
0.38534375 |
| transcript.pyannote[0].end |
2.76471875 |
| transcript.pyannote[1].speaker |
SPEAKER_03 |
| transcript.pyannote[1].start |
12.97409375 |
| transcript.pyannote[1].end |
13.59846875 |
| transcript.pyannote[2].speaker |
SPEAKER_03 |
| transcript.pyannote[2].start |
13.76721875 |
| transcript.pyannote[2].end |
15.03284375 |
| transcript.pyannote[3].speaker |
SPEAKER_03 |
| transcript.pyannote[3].start |
15.48846875 |
| transcript.pyannote[3].end |
16.55159375 |
| transcript.pyannote[4].speaker |
SPEAKER_03 |
| transcript.pyannote[4].start |
16.80471875 |
| transcript.pyannote[4].end |
18.71159375 |
| transcript.pyannote[5].speaker |
SPEAKER_03 |
| transcript.pyannote[5].start |
19.04909375 |
| transcript.pyannote[5].end |
19.99409375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
22.03596875 |
| transcript.pyannote[6].end |
22.99784375 |
| transcript.pyannote[7].speaker |
SPEAKER_03 |
| transcript.pyannote[7].start |
23.20034375 |
| transcript.pyannote[7].end |
23.72346875 |
| transcript.pyannote[8].speaker |
SPEAKER_03 |
| transcript.pyannote[8].start |
24.01034375 |
| transcript.pyannote[8].end |
30.35534375 |
| transcript.pyannote[9].speaker |
SPEAKER_03 |
| transcript.pyannote[9].start |
30.64221875 |
| transcript.pyannote[9].end |
33.98346875 |
| transcript.pyannote[10].speaker |
SPEAKER_03 |
| transcript.pyannote[10].start |
34.45596875 |
| transcript.pyannote[10].end |
37.99971875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
38.92784375 |
| transcript.pyannote[11].end |
46.20096875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
46.42034375 |
| transcript.pyannote[12].end |
51.14534375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
51.39846875 |
| transcript.pyannote[13].end |
55.75221875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
56.62971875 |
| transcript.pyannote[14].end |
57.10221875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
57.47346875 |
| transcript.pyannote[15].end |
59.05971875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
59.43096875 |
| transcript.pyannote[16].end |
61.74284375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
62.40096875 |
| transcript.pyannote[17].end |
63.31221875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
63.49784375 |
| transcript.pyannote[18].end |
65.67471875 |
| transcript.pyannote[19].speaker |
SPEAKER_03 |
| transcript.pyannote[19].start |
67.09221875 |
| transcript.pyannote[19].end |
68.03721875 |
| transcript.pyannote[20].speaker |
SPEAKER_03 |
| transcript.pyannote[20].start |
69.55596875 |
| transcript.pyannote[20].end |
72.54284375 |
| transcript.pyannote[21].speaker |
SPEAKER_03 |
| transcript.pyannote[21].start |
73.06596875 |
| transcript.pyannote[21].end |
74.65221875 |
| transcript.pyannote[22].speaker |
SPEAKER_03 |
| transcript.pyannote[22].start |
75.14159375 |
| transcript.pyannote[22].end |
76.03596875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
76.03596875 |
| transcript.pyannote[23].end |
77.21721875 |
| transcript.pyannote[24].speaker |
SPEAKER_03 |
| transcript.pyannote[24].start |
78.07784375 |
| transcript.pyannote[24].end |
78.85409375 |
| transcript.pyannote[25].speaker |
SPEAKER_03 |
| transcript.pyannote[25].start |
79.32659375 |
| transcript.pyannote[25].end |
81.19971875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
80.25471875 |
| transcript.pyannote[26].end |
82.71846875 |
| transcript.pyannote[27].speaker |
SPEAKER_03 |
| transcript.pyannote[27].start |
82.06034375 |
| transcript.pyannote[27].end |
96.53909375 |
| transcript.pyannote[28].speaker |
SPEAKER_03 |
| transcript.pyannote[28].start |
96.72471875 |
| transcript.pyannote[28].end |
99.30659375 |
| transcript.pyannote[29].speaker |
SPEAKER_03 |
| transcript.pyannote[29].start |
99.74534375 |
| transcript.pyannote[29].end |
100.97721875 |
| transcript.pyannote[30].speaker |
SPEAKER_03 |
| transcript.pyannote[30].start |
101.38221875 |
| transcript.pyannote[30].end |
108.01409375 |
| transcript.pyannote[31].speaker |
SPEAKER_03 |
| transcript.pyannote[31].start |
108.36846875 |
| transcript.pyannote[31].end |
114.02159375 |
| transcript.pyannote[32].speaker |
SPEAKER_03 |
| transcript.pyannote[32].start |
114.34221875 |
| transcript.pyannote[32].end |
120.13034375 |
| transcript.pyannote[33].speaker |
SPEAKER_03 |
| transcript.pyannote[33].start |
120.56909375 |
| transcript.pyannote[33].end |
121.58159375 |
| transcript.pyannote[34].speaker |
SPEAKER_03 |
| transcript.pyannote[34].start |
122.50971875 |
| transcript.pyannote[34].end |
128.11221875 |
| transcript.pyannote[35].speaker |
SPEAKER_03 |
| transcript.pyannote[35].start |
128.44971875 |
| transcript.pyannote[35].end |
129.81659375 |
| transcript.pyannote[36].speaker |
SPEAKER_03 |
| transcript.pyannote[36].start |
129.96846875 |
| transcript.pyannote[36].end |
134.64284375 |
| transcript.pyannote[37].speaker |
SPEAKER_03 |
| transcript.pyannote[37].start |
135.26721875 |
| transcript.pyannote[37].end |
135.85784375 |
| transcript.pyannote[38].speaker |
SPEAKER_03 |
| transcript.pyannote[38].start |
136.07721875 |
| transcript.pyannote[38].end |
137.79846875 |
| transcript.pyannote[39].speaker |
SPEAKER_03 |
| transcript.pyannote[39].start |
138.38909375 |
| transcript.pyannote[39].end |
143.56971875 |
| transcript.pyannote[40].speaker |
SPEAKER_03 |
| transcript.pyannote[40].start |
143.82284375 |
| transcript.pyannote[40].end |
146.16846875 |
| transcript.pyannote[41].speaker |
SPEAKER_03 |
| transcript.pyannote[41].start |
146.33721875 |
| transcript.pyannote[41].end |
149.05409375 |
| transcript.pyannote[42].speaker |
SPEAKER_03 |
| transcript.pyannote[42].start |
149.66159375 |
| transcript.pyannote[42].end |
150.28596875 |
| transcript.pyannote[43].speaker |
SPEAKER_03 |
| transcript.pyannote[43].start |
150.62346875 |
| transcript.pyannote[43].end |
151.39971875 |
| transcript.pyannote[44].speaker |
SPEAKER_03 |
| transcript.pyannote[44].start |
151.90596875 |
| transcript.pyannote[44].end |
154.57221875 |
| transcript.pyannote[45].speaker |
SPEAKER_03 |
| transcript.pyannote[45].start |
154.82534375 |
| transcript.pyannote[45].end |
156.66471875 |
| transcript.pyannote[46].speaker |
SPEAKER_03 |
| transcript.pyannote[46].start |
157.00221875 |
| transcript.pyannote[46].end |
157.84596875 |
| transcript.pyannote[47].speaker |
SPEAKER_03 |
| transcript.pyannote[47].start |
158.11596875 |
| transcript.pyannote[47].end |
159.34784375 |
| transcript.pyannote[48].speaker |
SPEAKER_03 |
| transcript.pyannote[48].start |
159.95534375 |
| transcript.pyannote[48].end |
160.96784375 |
| transcript.pyannote[49].speaker |
SPEAKER_03 |
| transcript.pyannote[49].start |
161.27159375 |
| transcript.pyannote[49].end |
163.21221875 |
| transcript.pyannote[50].speaker |
SPEAKER_03 |
| transcript.pyannote[50].start |
163.58346875 |
| transcript.pyannote[50].end |
166.57034375 |
| transcript.pyannote[51].speaker |
SPEAKER_03 |
| transcript.pyannote[51].start |
166.84034375 |
| transcript.pyannote[51].end |
172.17284375 |
| transcript.pyannote[52].speaker |
SPEAKER_03 |
| transcript.pyannote[52].start |
172.79721875 |
| transcript.pyannote[52].end |
175.90221875 |
| transcript.pyannote[53].speaker |
SPEAKER_03 |
| transcript.pyannote[53].start |
176.27346875 |
| transcript.pyannote[53].end |
178.43346875 |
| transcript.pyannote[54].speaker |
SPEAKER_03 |
| transcript.pyannote[54].start |
178.97346875 |
| transcript.pyannote[54].end |
179.81721875 |
| transcript.pyannote[55].speaker |
SPEAKER_03 |
| transcript.pyannote[55].start |
180.08721875 |
| transcript.pyannote[55].end |
180.59346875 |
| transcript.pyannote[56].speaker |
SPEAKER_03 |
| transcript.pyannote[56].start |
181.03221875 |
| transcript.pyannote[56].end |
182.34846875 |
| transcript.pyannote[57].speaker |
SPEAKER_03 |
| transcript.pyannote[57].start |
182.75346875 |
| transcript.pyannote[57].end |
183.36096875 |
| transcript.pyannote[58].speaker |
SPEAKER_03 |
| transcript.pyannote[58].start |
183.59721875 |
| transcript.pyannote[58].end |
187.12409375 |
| transcript.pyannote[59].speaker |
SPEAKER_03 |
| transcript.pyannote[59].start |
187.81596875 |
| transcript.pyannote[59].end |
189.94221875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
190.97159375 |
| transcript.pyannote[60].end |
191.22471875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
191.57909375 |
| transcript.pyannote[61].end |
209.39909375 |
| transcript.pyannote[62].speaker |
SPEAKER_03 |
| transcript.pyannote[62].start |
210.17534375 |
| transcript.pyannote[62].end |
213.83721875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
213.60096875 |
| transcript.pyannote[63].end |
213.80346875 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
213.83721875 |
| transcript.pyannote[64].end |
218.44409375 |
| transcript.pyannote[65].speaker |
SPEAKER_03 |
| transcript.pyannote[65].start |
218.34284375 |
| transcript.pyannote[65].end |
219.32159375 |
| transcript.pyannote[66].speaker |
SPEAKER_03 |
| transcript.pyannote[66].start |
219.77721875 |
| transcript.pyannote[66].end |
224.29971875 |
| transcript.pyannote[67].speaker |
SPEAKER_03 |
| transcript.pyannote[67].start |
224.73846875 |
| transcript.pyannote[67].end |
234.18846875 |
| transcript.pyannote[68].speaker |
SPEAKER_03 |
| transcript.pyannote[68].start |
234.74534375 |
| transcript.pyannote[68].end |
237.42846875 |
| transcript.pyannote[69].speaker |
SPEAKER_03 |
| transcript.pyannote[69].start |
238.05284375 |
| transcript.pyannote[69].end |
239.25096875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
239.25096875 |
| transcript.pyannote[70].end |
247.94159375 |
| transcript.pyannote[71].speaker |
SPEAKER_03 |
| transcript.pyannote[71].start |
247.94159375 |
| transcript.pyannote[71].end |
253.72971875 |
| transcript.pyannote[72].speaker |
SPEAKER_03 |
| transcript.pyannote[72].start |
254.28659375 |
| transcript.pyannote[72].end |
256.42971875 |
| transcript.pyannote[73].speaker |
SPEAKER_03 |
| transcript.pyannote[73].start |
257.74596875 |
| transcript.pyannote[73].end |
260.26034375 |
| transcript.pyannote[74].speaker |
SPEAKER_03 |
| transcript.pyannote[74].start |
260.51346875 |
| transcript.pyannote[74].end |
261.30659375 |
| transcript.pyannote[75].speaker |
SPEAKER_03 |
| transcript.pyannote[75].start |
261.86346875 |
| transcript.pyannote[75].end |
264.04034375 |
| transcript.pyannote[76].speaker |
SPEAKER_03 |
| transcript.pyannote[76].start |
264.76596875 |
| transcript.pyannote[76].end |
271.16159375 |
| transcript.pyannote[77].speaker |
SPEAKER_03 |
| transcript.pyannote[77].start |
271.78596875 |
| transcript.pyannote[77].end |
272.56221875 |
| transcript.pyannote[78].speaker |
SPEAKER_03 |
| transcript.pyannote[78].start |
272.93346875 |
| transcript.pyannote[78].end |
275.16096875 |
| transcript.pyannote[79].speaker |
SPEAKER_03 |
| transcript.pyannote[79].start |
276.07221875 |
| transcript.pyannote[79].end |
277.82721875 |
| transcript.pyannote[80].speaker |
SPEAKER_03 |
| transcript.pyannote[80].start |
278.01284375 |
| transcript.pyannote[80].end |
321.16221875 |
| transcript.pyannote[81].speaker |
SPEAKER_03 |
| transcript.pyannote[81].start |
321.65159375 |
| transcript.pyannote[81].end |
325.73534375 |
| transcript.pyannote[82].speaker |
SPEAKER_03 |
| transcript.pyannote[82].start |
326.05596875 |
| transcript.pyannote[82].end |
334.17284375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
334.76346875 |
| transcript.pyannote[83].end |
367.01159375 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
367.06221875 |
| transcript.pyannote[84].end |
369.69471875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
369.84659375 |
| transcript.pyannote[85].end |
378.46971875 |
| transcript.pyannote[86].speaker |
SPEAKER_03 |
| transcript.pyannote[86].start |
378.60471875 |
| transcript.pyannote[86].end |
409.31721875 |
| transcript.pyannote[87].speaker |
SPEAKER_03 |
| transcript.pyannote[87].start |
409.50284375 |
| transcript.pyannote[87].end |
411.73034375 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
411.73034375 |
| transcript.pyannote[88].end |
411.74721875 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
412.47284375 |
| transcript.pyannote[89].end |
433.76909375 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
434.02221875 |
| transcript.pyannote[90].end |
443.57346875 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
444.13034375 |
| transcript.pyannote[91].end |
444.97409375 |
| transcript.pyannote[92].speaker |
SPEAKER_02 |
| transcript.pyannote[92].start |
445.15971875 |
| transcript.pyannote[92].end |
462.06846875 |
| transcript.pyannote[93].speaker |
SPEAKER_02 |
| transcript.pyannote[93].start |
462.55784375 |
| transcript.pyannote[93].end |
469.12221875 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
469.54409375 |
| transcript.pyannote[94].end |
485.96346875 |
| transcript.pyannote[95].speaker |
SPEAKER_03 |
| transcript.pyannote[95].start |
485.96346875 |
| transcript.pyannote[95].end |
494.97471875 |
| transcript.pyannote[96].speaker |
SPEAKER_02 |
| transcript.pyannote[96].start |
491.56596875 |
| transcript.pyannote[96].end |
492.52784375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
492.52784375 |
| transcript.pyannote[97].end |
492.54471875 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
492.54471875 |
| transcript.pyannote[98].end |
492.61221875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
492.61221875 |
| transcript.pyannote[99].end |
493.27034375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
494.63721875 |
| transcript.pyannote[100].end |
494.94096875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
494.97471875 |
| transcript.pyannote[101].end |
495.12659375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
495.56534375 |
| transcript.pyannote[102].end |
509.38596875 |
| transcript.pyannote[103].speaker |
SPEAKER_03 |
| transcript.pyannote[103].start |
509.38596875 |
| transcript.pyannote[103].end |
516.42284375 |
| transcript.pyannote[104].speaker |
SPEAKER_03 |
| transcript.pyannote[104].start |
517.16534375 |
| transcript.pyannote[104].end |
518.63346875 |
| transcript.pyannote[105].speaker |
SPEAKER_02 |
| transcript.pyannote[105].start |
519.42659375 |
| transcript.pyannote[105].end |
520.10159375 |
| transcript.pyannote[106].speaker |
SPEAKER_03 |
| transcript.pyannote[106].start |
520.86096875 |
| transcript.pyannote[106].end |
520.91159375 |
| transcript.pyannote[107].speaker |
SPEAKER_02 |
| transcript.pyannote[107].start |
520.91159375 |
| transcript.pyannote[107].end |
523.15596875 |
| transcript.pyannote[108].speaker |
SPEAKER_03 |
| transcript.pyannote[108].start |
524.62409375 |
| transcript.pyannote[108].end |
527.27346875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
527.13846875 |
| transcript.pyannote[109].end |
528.11721875 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
527.27346875 |
| transcript.pyannote[110].end |
527.35784375 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
527.45909375 |
| transcript.pyannote[111].end |
527.50971875 |
| transcript.pyannote[112].speaker |
SPEAKER_03 |
| transcript.pyannote[112].start |
527.50971875 |
| transcript.pyannote[112].end |
528.85971875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
530.91846875 |
| transcript.pyannote[113].end |
536.94284375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
537.49971875 |
| transcript.pyannote[114].end |
539.44034375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
539.79471875 |
| transcript.pyannote[115].end |
540.01409375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
541.06034375 |
| transcript.pyannote[116].end |
541.93784375 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
542.17409375 |
| transcript.pyannote[117].end |
544.60409375 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
545.54909375 |
| transcript.pyannote[118].end |
545.75159375 |
| transcript.pyannote[119].speaker |
SPEAKER_03 |
| transcript.pyannote[119].start |
548.77221875 |
| transcript.pyannote[119].end |
550.64534375 |
| transcript.pyannote[120].speaker |
SPEAKER_03 |
| transcript.pyannote[120].start |
551.18534375 |
| transcript.pyannote[120].end |
551.84346875 |
| transcript.whisperx[0].start |
0.47 |
| transcript.whisperx[0].end |
19.797 |
| transcript.whisperx[0].text |
接下来请陈永康陈委员咨询好召唯有请顾部长好有请顾部长另外副总长自信官也请一请请副总长 |
| transcript.whisperx[1].start |
22.285 |
| transcript.whisperx[1].end |
37.806 |
| transcript.whisperx[1].text |
是 陈伟部长 赖总统对于我们国防预算的成长他有一个很明确的政策指导在2030年前要达到GDP5%您知道GDP5%的国防预算概阅有多少数字吗 |
| transcript.whisperx[2].start |
39.731 |
| transcript.whisperx[2].end |
54.858 |
| transcript.whisperx[2].text |
我想因為我們現在GDP有確實有往上成長的一個趨勢所以我們如果應該要看用哪一年的GDP來計算那當時總統在宣布的時候應該是在202214年那當時應該是在28.5兆還是28.5兆2.85 |
| transcript.whisperx[3].start |
69.585 |
| transcript.whisperx[3].end |
95.685 |
| transcript.whisperx[3].text |
我們今年是GDP3.32這樣我把一些數字跟您分享28台幣如果賴總統講您說那個占比GDP5%我們用去年的預算來講國家總預算GDP的東西是28兆我們的國防預算占比就到將近1兆5000億那往後還有4年我們不談成長 |
| transcript.whisperx[4].start |
96.926 |
| transcript.whisperx[4].end |
121.383 |
| transcript.whisperx[4].text |
所以说我们有一个5505亿的一个额度增长平均每年有四年间每年增长1376亿就是持续成长那如果我们国防预算每年成长1376亿怎么会跟其他的不会产生排挤呢因为我的额度已经包在里面了这是总统的指导啊就前面几个 |
| transcript.whisperx[5].start |
122.543 |
| transcript.whisperx[5].end |
148.111 |
| transcript.whisperx[5].text |
这个友好我们同仁讲的话都会讲产生排挤我就问他他连这个数字都没看过怎么会产生排挤呢而且对我们国防预算来讲有很大的预量跟成长空间这个是我们支持总统的想法另外我要再跟大家讲一下刚才大家特别讲乌克兰的案例成功的案例未必可以复制乌克兰的面积是台湾的16.7倍 |
| transcript.whisperx[6].start |
149.867 |
| transcript.whisperx[6].end |
169.625 |
| transcript.whisperx[6].text |
烏克蘭有starlink如果沒有starlink support他 他早就輸了烏克蘭用的是starlink跟現在fiber optical導引他不是平原 他沒有高山 沒有大城市所以看到的目標不是烏方的就是俄方的如果把他那個套到台灣來請問我們21萬架無人機裡面 |
| transcript.whisperx[7].start |
172.864 |
| transcript.whisperx[7].end |
189.414 |
| transcript.whisperx[7].text |
用5G 6G乃至7GWiFi如果到了暫時電網中斷WiFi沒有了請問我們的微波這個時候副總執行官你能不能答我們的微波導引有多少千這有跟速發部有溝通過嗎 |
| transcript.whisperx[8].start |
191.662 |
| transcript.whisperx[8].end |
209.101 |
| transcript.whisperx[8].text |
委員好,這一部分實際上我們在國防部其他的暗巷裡頭,還有其他部會的暗巷裡頭,關於國家通信任性資源作戰的時候這一塊都已經有規劃正在做。那我們這些未來無人機的發展當然也是配合這一部分的科技也在進行。 |
| transcript.whisperx[9].start |
210.416 |
| transcript.whisperx[9].end |
237.224 |
| transcript.whisperx[9].text |
都在規劃但是沒有人納入法規只是橫向溝通這一部分也在法規上的修訂也都有討論也在做相關的這個速發部如果今天不能把民間的頻道頻寬移給國防部到了暫時當Wi-Fi沒有用你有線的微波現有國軍的頻道都是軍用的都自己用的這麼多的無人機進來了你沒有中繼台沒有機動微波站 |
| transcript.whisperx[10].start |
238.084 |
| transcript.whisperx[10].end |
256.264 |
| transcript.whisperx[10].text |
请问这个问题怎么解决现有的平补管制已经根据我们作战的需求都在国安会的主导之下有在做进行相关的建制跟讨论你21万架是总数你在国内单位平均整个在使用的时候你不会超过5000个门号 |
| transcript.whisperx[11].start |
257.813 |
| transcript.whisperx[11].end |
274.963 |
| transcript.whisperx[11].text |
最好的案例就是人家送你100个iPhone18结果你只有三个SIM卡这个不是诚意你都stockpiling把东西放在那边所以这些的效益也是有限的现在我们要讲的你是用遥控还是自主无人机 |
| transcript.whisperx[12].start |
276.384 |
| transcript.whisperx[12].end |
302.022 |
| transcript.whisperx[12].text |
遙控就是你戴個Goggles操縱那你現看看的都是微型小型機制可是自主式的無人機的AI的晶片的軟體還有通訊的中心這個是末端用戶你要負責任的外銷沒有問題我們去年無人機外銷產業已經達到了9300多億美金我們樂見其中但是如果這個東西是由國防部來運用要發揮它的戰力烏克蘭的效果 |
| transcript.whisperx[13].start |
303.643 |
| transcript.whisperx[13].end |
320.953 |
| transcript.whisperx[13].text |
并不能够在台湾复制你的电网全部在西岸你也不可能拖20公里长的微那个micro optical的导线所以你的线住音是非常困难的这1300艘海上无人艇你要超过到24海里请问用哪一个频段去导控它 |
| transcript.whisperx[14].start |
321.713 |
| transcript.whisperx[14].end |
334.033 |
| transcript.whisperx[14].text |
他是自主式吗那如果你谈到了自主式我就问这个长官的授权man in the loop人在回路之内man on the loopout the loop你的ROE有出来吗ROE不是写一个卡片的 |
| transcript.whisperx[15].start |
335.047 |
| transcript.whisperx[15].end |
359.053 |
| transcript.whisperx[15].text |
包委員您講的那個卡片只是我們在演習的時候為了讓基層官並了解用的實際上常設性的交戰規則還有我們這個授權的這個範圍都已經定在我們未來這個相關的作戰的作戰計畫裡頭並且有一部分已經付諸執行所以有關於這個無人機包含它各自導控的方式以及導航的方式目標辨識的方式最後確認目標ROE接戰規則的方式 |
| transcript.whisperx[16].start |
362.814 |
| transcript.whisperx[16].end |
378.395 |
| transcript.whisperx[16].text |
都在我们国防部JOP里头的计划里头都已经写进去了并且有部分已经生效那当然我们这个未来的无人机采购也要配合这个科技的发展以及迭代更新最重要的是我们未来战场上的需求这一部分我们都已经做了考虑了 |
| transcript.whisperx[17].start |
378.675 |
| transcript.whisperx[17].end |
397.023 |
| transcript.whisperx[17].text |
前面已經講了這個放在年度預算因為你每年度成長的預算都有這個1370幾億所以並不會產生排擠效用關鍵是說21萬架次你的儲藏包括有自毀式彈藥儲存這個國防部有計劃但是太多的數字一致 |
| transcript.whisperx[18].start |
397.563 |
| transcript.whisperx[18].end |
411.63 |
| transcript.whisperx[18].text |
放在那边你并没有发生的效果所以我们认为放在年度预算并没有冲击我是支持这个案子也支持国防部的想法唯一的就是站在在野党做监督的角色看我们认为放到年度预算并没有冲击 |
| transcript.whisperx[19].start |
412.626 |
| transcript.whisperx[19].end |
433.396 |
| transcript.whisperx[19].text |
我是主席局局長 容許我針對排擠這個問題做個說明剛剛提到的去年114年有關GDP是28.5兆總統提到的2030年GDP的5%它基本上是一個前提就是核心的部分3.5其中全社會防衛論性是1.5所以在這種前提之下預算 |
| transcript.whisperx[20].start |
434.096 |
| transcript.whisperx[20].end |
461.211 |
| transcript.whisperx[20].text |
沒有指定是一定是用年度預算按照預算法83條國防緊急設施是可以編列特別預算所以我們用3.5這個核心預算來算的話我們以去年114年在編115年的時候國防預算編在公務預算5614億中央政府總預算3兆零350億佔比是18.2%如果說我持續把國防預算要成長的部分沒有透過特別預算 |
| transcript.whisperx[21].start |
462.659 |
| transcript.whisperx[21].end |
490.609 |
| transcript.whisperx[21].text |
的編列的話我直接放到公務預算會變成我的我會有5614億如果成長一倍到一兆的話但中央政府總預算規模會超過23%到24%這樣的情況之下一定是會排擠到中央政府各政事別經濟社會文化教育支出的相關的經費支出所以排擠效應會發生在這個狀況之下你今年的預算9300多億是包括特別預算在裡面 |
| transcript.whisperx[22].start |
491.249 |
| transcript.whisperx[22].end |
518.634 |
| transcript.whisperx[22].text |
有 9495 已經包含進去了所有相關海空戰力特別提升 F-16 的那一個然後還有兩年那個韌性的部分還有相關其他的依照北約所計算的海巡跟那個退伍費的部分所以未來增加5500多億是以你這個9000多億往上加所以額度tolerance 已經在裡面了 |
| transcript.whisperx[23].start |
520.93 |
| transcript.whisperx[23].end |
543.998 |
| transcript.whisperx[23].text |
他這個是包含的特別預算才裡面是對 今年的是3.32是含特別預算是含的我們原來的講了9000多億也含預估我們本來要通過1.25兆的特別預算所以我們一定要用特別預算才可以注意支撐我們所需要的廣泛預算的成長 |
| transcript.whisperx[24].start |
548.834 |
| transcript.whisperx[24].end |
550.237 |
| transcript.whisperx[24].text |
好,謝謝陳永康委員 |