Source record CMC Political Work Department · 2026-05-26

Air Force Engineering University Instructor Song Yafei: Where You Put Your Time, There You Will Find Your Harvest

空军工程大学教员宋亚飞：时间用在哪里，收获就在哪里

Machine translation The heading is a machine translation of the original title above. Not reviewed by a human.

Processing status

Analyzed

Passed relevance screening and completed analysis. English title and summary are machine-generated.

Machine assessment Not flagged for closer review. This is a software triage result, not an editorial judgment.

Provenance

What is known about this record and where each part came from.
Desk	China Desk
Publishing institution	CMC Political Work Department
Source outlet	PLA Daily (解放军报) (pla_daily)
Source language	zh-Hans — an attribute of the source, not of this record
Source-stated publication date	2026-05-26
Original URL	http://www.81.cn/yw_208727/16463488.html
Collected at	2026-05-26 19:53:12 — collection metadata, not a publication time
Content fingerprint	0f8e54bb21c8a99c4875c10fe0495d056cd4b230e8cd5630c806d2f313ba8f59 — taken when the record was captured, over the stored original title and text
Collection run	38
Analysis model	claude-sonnet-4-6
Prompt version	v1

Every field above is defined in the data dictionary — what it means, when it may be absent, and where it stops being reliable.

Stored source text

Text captured from the source page. Extraction may omit material or include unrelated page elements; consult the original URL when exact wording or completeness matters.

“时间用在哪里，收获就在哪里” ■朱启维周子莎空军工程大学教员宋亚飞。杨文浩摄空军工程大学防空反导学院实验室内，某系统验收测试现场，宋亚飞副教授正紧盯着屏幕上跳动的数据。 “算法识别准确率再创新高！验收测试顺利通过！”当课题组成员们的欢呼声划破寂静，作为项目负责人的宋亚飞内心激动不已。这不仅是技术的突破，更是一名军队科研人员努力“让装备‘读懂’对手”的又一现实成果。时钟回拨到2017年，当时宋亚飞带领的团队，正深陷智能识别相关难题。从“看清目标是什么”到“看透目标想干什么”，中间横亘着从感知到认知的鸿沟。气氛凝重的形势分析会上，宋亚飞对团队成员们坚定道：“我们做科研的，就是要逢山开路，遇水架桥。数据的匮乏，恰恰证明着它对国家对军队的战略价值！这块硬骨头，我们必须啃下来！” 此后几年，宋亚飞牵头带队，辗转祖国各地的一线部队调研，成功收集数万组实测数据。2020年冬，团队终于摆脱数据匮乏的困境，解决了算法模型的核心难题。然而，宋亚飞并未停下脚步。他深知，真正的战场绝非在纸面上，唯有将目光投向演兵场，科研之路才能行稳致远。对军校教员来说，把科研成果转化为实战能力的这“最后一公里”，最为关键也最为艰难。苦于没有现成的转化路径，宋亚飞团队陷入“成果不少、出路难找”的新困境。 “等、靠、要，是换不来突破的，必须主动出击，方能破局。”宋亚飞带领成员们迎难而上，向一个又一个“高地”冲锋。实验室里长明的灯光，见证了他们为国防科研奋斗的日日夜夜。方案设计、模型构建、算法优化、仿真验证……每一个环节都必须反复打磨。从数据清洗到模型训练，从智能算法到系统联调，宋亚飞始终追求极致、严格把控，不放过任何一个影响实战效果的关键细节。奋力攻坚，终破壁垒。在学校支持下，宋亚飞团队研发的智能辅助识别系统成功孵化重点科研项目，顺利进入试用阶段。此外，他们还将核心数据集共享给部队相关团队，消除数据壁垒，为强军事业贡献更大合力。近些年，无人化浪潮席卷全球，战争形态深刻演变。宋亚飞带领团队在智能指挥控制、目标识别、作战辅助决策等方向持续突破，取得多个重要成果。将算法融进国防建设，用科研力量守卫家国安宁。宋亚飞用近10年的坚守，印证了一个朴素的道理——“时间用在哪里，收获就在哪里”。

Summary

Machine summary

Song Yafei, an associate professor at the Air Defense and Anti-Missile College of Air Force Engineering University, led a team that from 2017 onward collected tens of thousands of field data sets from frontline units, broke a core data-scarcity bottleneck in 2020, and has since moved an intelligent assisted recognition system into trial use with a PLA unit while sharing the underlying dataset across military teams. The article documents the 'last mile' conversion problem — translating academy research into fielded capability — that PLA military education institutions have repeatedly identified as a structural weakness, and records one institutional workaround: direct researcher-to-unit data-sharing to bypass formal transfer pathways. The framing around 作战辅助决策 (combat-assisted decision-making) and making equipment 'understand adversary intent' points to ongoing work on cognitive-layer AI applications for air defense and anti-missile missions, though the specific system, the units involved, and the current trial-use scope remain unidentified.

Machine-generated from the original text, and distinct from the machine translation of the title. Not reviewed by a human. It is a reading of what was published, not a verification of it.

What this record supports

Source record This item was published at the URL above on the date the source stated.
Official claim Its contents are that institution's assertions.

It does not establish that the described events occurred, that any capability exists, or that the institution's stated position is its actual policy.

Cite this record

Two separate claims, cited separately: the item as its publisher issued it, and the record as this corpus holds it.

Source text. CMC Political Work Department. "空军工程大学教员宋亚飞：时间用在哪里，收获就在哪里." PLA Daily (解放军报), 2026-05-26. http://www.81.cn/yw_208727/16463488.html.

As held. Indo-Pacific Record, China Desk Corpus, Record 697, Snapshot — 2026-08-26 (3,574 records).

Processing note. The English title and summary held for this record are machine-generated and have not been reviewed by a human.

The record number and this record path are locators inside the 2026-08-26 snapshot. Neither is a DOI, accession number, permanent identifier, public permalink, or published route. See identifiers and citation guidance.