Unified Field Theory: Engineering Reconstruction of Green AI from Yin-Yang Imbalance ——基于病因诊断、八大规律与严密工程数学的算力中心诊疗白皮书 ——A Diagnostic and Prescriptive White Paper for Computing Centers Based on Etiological Diagnosis, Eight Laws, and Rigorous Engineering Mathematics
Year: 2026
Type: preprint
Abstract: 对现行 AI 基础设施进行深度病因诊断。本文指出,AI 之所以成为"电老虎"与"水老虎",根本原因不在"算得太多",而在其设计原理陷入"纯阳无阴"的太极失衡态:架构层的存算分离造成搬运耗散,模式层的稠密全算造成无差别穷举,运行层的同步锁步造成集体空转,冷却层的峰值配置造成水耗虚高,能量链条的单向截断造成废热直排。五重病灶互不独立,而是层层放大。 针对上述病灶,本文以八大规律与阴阳六种关系为哲学底座,逐条咬合具体工程机制,提出三大参数级工程落地方程:活秤砣方程(动态算力供给)、势能差方程(热流拓扑与分级取热)、熵减排除方程(余热梯级利用与㶲效率提升)。本文给出完整的数学推演,包括功耗—唤醒—追踪方程、节点热平衡方程、对数平均温差换热方程、泵功方程、相变材料吸放热方程、㶲损失方程、吸收式制冷性能系数、热电发电方程,以及多目标模型预测控制框架、五层安全控制架构、工程配对试验方案、PUE/WUE/CUE/SEC 量化验收口径与测量不确定度要求。 本文同时明确划定该架构的失效边界,并主动放弃一切未经实测的固定节能百分比承诺。本文交付的不是口号,而是一套可测量、可审计、可施工、可追责的算力中心诊疗方案 Abstract: The artificial intelligence industry now faces a severe energy and water crisis. Departing from localized patchingapproaches, this paper adopts Taiji Unified Field Theory as its macro-level guide and conducts an in-depth etiologicaldiagnosis of contemporary AI infrastructure. The paper argues that AI has become an "electricity tiger" and a "water tiger"not because it computes too much, but because its design principle has fallen into a Taiji imbalance of "pure yang withoutyin": compute-memory separation causes data-movement dissipation at the architectural layer; dense whole-matrixcomputation causes indiscriminate enumeration at the computational-pattern layer; synchronous lockstep causes collectiveidling at the runtime layer; peak-sized cooling causes inflated water consumption at the cooling layer; and the one-waytruncation of the energy chain causes direct rejection of waste heat. These five defects are not independent; they amplify oneanother layer by layer. Targeting these defects, this paper takes the Eight Laws and the Six Yin-Yang Relations as its philosophical foundation,binds each of them to a concrete engineering mechanism, and proposes three parameter-level engineering equations: the LiveSliding-Weight Equation for dynamic compute provisioning, the Potential-Difference Equation for heat-flow topology andstaged heat extraction, and the Entropy-Reduction-Exclusion Equation for cascaded waste-heat utilization and exergyefficiency improvement. Complete mathematical derivations are provided, including the power-wake-tracking equations,nodal heat balance, logarithmic mean temperature difference, pump power, phase change material enthalpy, exergydestruction, absorption chiller coefficient of performance, and thermoelectric generation equations, together with a multi- 1 objective model predictive control framework, a five-layer safety architecture, an engineering paired-test protocol, andquantitative acceptance metrics PUE, WUE, CUE and SEC with measurement uncertainty requirements. The paper also explicitly delineates the failure boundaries of this architecture and voluntarily renounces any unverifiedfixed energy-saving percentage claims. What is delivered here is not rhetoric, but a measurable, auditable, constructible andaccountable diagnostic and prescriptive scheme for computing centers.
Author: Sun, Hechun
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225815343
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