Source record CMC Political Work Department · 2026-08-19

Data Also Requires "Panning and Washing": Maximizing the Release of Data Value

数据亦需“淘洗”，实现数据价值的最大化释放

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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	2026-08-19
Original URL	http://www.81.cn/yw_208727/16480076.html
Collected at	2026-08-19 17:22:53 — collection metadata, not a publication time
Content fingerprint	656d6f1bd41a71b5be8593c1fd348d8b4b2e016f4614a60232ce695e927827e7 — taken when the record was captured, over the stored original title and text
Collection run	116
Analysis model	claude-sonnet-4-6
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在信息化智能化战争中，数据是支撑指挥决策的核心要素。然而，战场数据海量庞杂、真伪交织，包含了大量“杂质”。如果对数据不加以“淘洗”，不仅难以支撑决策，甚至可能干扰判断、迟滞行动。同时，现代战争的指挥决策越来越呈现出精细化特征，对数据的层次性、精准性要求越来越高。这就决定了数据“淘洗”不能笼而统之、大而化之，必须分类施策、精准发力，在去伪存真、去粗取精中实现数据价值的最大化释放。 “淘洗”辨真伪。数据的真实性是一切作战决策的逻辑起点，虚假数据比没有数据更危险。在现代战争中，虚假数据的来源多种多样，比如，敌方刻意释放的迷惑性数据、自然环境产生的噪声数据、装备故障生成的异常数据等，共同构成了数据真伪交织的复杂图景。在这种情况下，要更好实现指挥决策的科学性、有效性，就不能不对数据的真伪进行分类甄别，否则，就极有可能导致决策依据失真、作战判断失误。在实践层面，要建立多维度真伪甄别指标体系，对数据进行初筛分级。对高度可信数据，最大限度保留原始信息；对存疑数据，通过多源比对剔除矛盾信息等；对明确虚假数据彻底清除，严防其混入决策链路。 “淘洗”鉴时效。数据价值具有鲜明的时效属性，同一数据在不同时间节点的作战意义截然不同。信息化智能化战争的作战节奏不断加快、战场态势瞬息万变，数据的有效窗口期急剧压缩，过时的数据不仅会失去参考价值，还可能误导指挥员对当前态势的判断。因此，数据“淘洗”必须充分考虑时间维度，让数据在有效的时间内发挥正确的作用。为此，可以建立数据时效分级标准，将数据划分为实时数据、短时数据、长时数据三个层级。对实时数据，快速剔除其中的无效信息、虚假信息，尽可能地简化流程、压缩时延，确保其第一时间进入指挥链路；对短时数据，要深度过滤，在保证时效的前提下提升数据精度，使其更好服务于战术层面的决策；对长时数据，进行深度挖掘和规律提炼，为战略层面的态势研判提供支撑。 “淘洗”看关联。现代战争是体系与体系的对抗，同时，交叉验证始终是信息去伪存真的重要方法。这意味着，单一数据的价值是有限的，而数据之间的内在关联，则是过滤无效信息、揭示战场规律、预判敌方行动的关键。因此，数据“淘洗”要从体系视角审视数据之间的关联关系，通过分类梳理，让看似分散、无用的数据形成有机整体。一方面，对同要素数据，实施横向比对式“淘洗”，消除同一要素不同来源数据之间的冲突与矛盾。另一方面，对同链路数据，实施纵向贯通式“淘洗”，去掉作战链路各节点间因数据壁垒产生的数据“杂质”，确保数据始终与作战体系同频共振。

Summary

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A PLA Daily commentary lays out a three-part doctrinal framework for battlefield data filtering — distinguishing truth from falsehood, assessing timeliness across real-time/short-duration/long-duration tiers, and examining cross-domain correlation — under the concept of data 'panning and washing' (淘洗) in informatized and intelligentized warfare (信息化智能化战争). The article documents the PLA's ongoing effort to formalize data quality control as a command-and-decision problem distinct from raw data collection, framing corrupted or outdated data as an active threat to operational judgment rather than mere noise. The piece provides a baseline for how PLA doctrinal writing is currently framing the data-to-decision pipeline; what remains unknown is whether this framework is tied to any specific system, unit, or exercise, or is purely conceptual guidance.

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Source text. CMC Political Work Department. "数据亦需“淘洗”，实现数据价值的最大化释放." PLA Daily (解放军报), 2026-08-19. http://www.81.cn/yw_208727/16480076.html.

As held. Indo-Pacific Record, China Desk Corpus, Record 3377, Snapshot — 2026-08-26 (3,574 records).

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