A general complex system governance architecture based on core anchoring + black box trusted traceability

Abstract

The application discloses a kind of general complex system governance architecture based on core anchoring+black box credible traceability, it is related to the bottom layer security and credible management of complex system in all industries.The architecture includes core anchoring layer, black box credible traceability layer, distributed quantization coordination layer, realizes behavior bottom line strong management and control through front rigid constraint, realizes traceable and auditable through tamper-proof record throughout the process, realizes large-scale global coordination and automatic deviation correction through distributed quantization.The application can be reused across industries and all scenarios, solves the global common pain points of system out of control, untraceable, difficult to supervise and difficult to coordinate from the root, and is suitable for artificial intelligence, finance, medical care, transportation, energy, justice, agriculture and all complex systems, with high universality, security and social application value.

Description

Technical Field

[0001] This invention relates to the fields of systems engineering, social governance, financial risk control, industrial control, intelligent transportation, healthcare, artificial intelligence governance, blockchain regulation, digital infrastructure, energy internet, educational equity, judicial fairness, modern agriculture, and public safety. Specifically, it relates to a complex system rigid constraint, reliable traceability, quantitative correction, and distributed collaborative governance architecture that is applicable across industries, entities, and scenarios. It is suitable for all complex systems that have operational risks, regulatory needs, liability determination, scalability, and bottom-line compliance requirements. Background Technology

[0002] Currently, various complex systems commonly suffer from underlying defects during large-scale global applications:

[0003] 1. Lacking inviolable rigid bottom-line constraints, the system is prone to overstepping boundaries, going out of control, deviating from rules, and causing safety and ethical risks;

[0004] 2. The decision-making, behavior, instruction, and data flow processes are untraceable, unreplayable, and unauditable, making it difficult to assign responsibility for accidents and trace the source of risks;

[0005] 3. In collaborative scenarios involving multiple nodes, multiple entities, and multiple devices, there is a lack of unified measurement standards, resulting in ineffective global control and frequent chaos after scaling up.

[0006] 4. Each industry independently builds its risk control and supervision system, resulting in huge duplication of investment, extremely poor compatibility, and an inability to form a globally unified and trustworthy underlying infrastructure;

[0007] 5. Existing technologies are mostly post-event remedies and local optimizations, failing to build a fundamental governance mechanism of "pre-emptive constraints + full-process traceability + global collaboration".

[0008] Currently, there is no universal, complex system governance architecture that can be reused across industries and scenarios to achieve "controllability, trustworthiness, traceability, quantification, scalability, and automatic correction" from the root. This results in high social operating costs, trust costs, and regulatory costs, and the continuous accumulation of systemic risks. Summary of the Invention

[0009] (I) System Overall Architecture

[0010] This invention constructs a three-layer closed-loop unified underlying governance architecture: a core anchoring layer, a black box trusted traceability layer, and a distributed quantitative collaboration layer. The three layers are interconnected, provide real-time feedback, and cover the entire domain.

[0011] 1. Core anchoring layer

[0012] The system is configured with a rigid, inviolable, and tamper-proof rule base, including laws and regulations, mandatory standards, safety thresholds, ethical norms, business red lines, life safety guidelines, property safety bottom lines, and public order rules. Any node, entity, device, or algorithm must pass anchor verification before executing any operation; failure to meet these constraints will directly block execution, thus completely preventing system out of control from the source.

[0013] 2. Trusted Traceability Layer of the Black Box

[0014] The system automatically records all behaviors, decisions, command flows, data interactions, parameter modifications, and abnormal events throughout the entire lifecycle, across the entire chain, and in a time-series manner. The recorded content is encrypted and stored, is tamper-proof, can be fully replayed, can be cross-verified, and can be legally accepted, thus achieving "the subject can be located, the behavior can be restored, the basis can be verified, the result can be reproduced, and the responsibility can be determined."

[0015] 3. Distributed Quantization Collaboration Layer

[0016] Establish a unified quantitative evaluation index system for all nodes to achieve real-time global status perception, intelligent identification of operational deviations, automatic early warning of abnormal behavior, synchronous rule updates, and collaborative correction across the entire domain. It supports large-scale expansion to millions of nodes and maintains global consistency, stability, controllability, and standardized uniformity in distributed scenarios.

[0017] (II) Overall Operation Process

[0018] 1. Node behavior / external request initiation;

[0019] 2. Enter the core anchoring layer to perform rigid baseline verification;

[0020] 3. If the verification passes, execution is allowed, and the black box will simultaneously record the entire process.

[0021] 4. Operational data is uploaded to the distributed quantization collaboration layer in real time;

[0022] 5. Global quantitative assessment and deviation identification, automatically executing correction commands;

[0023] 6. The entire process is traceable, auditable, reviewable, and monitorable;

[0024] 7. The system operates continuously in a closed loop, always remaining within the anchored bottom line range.

[0025] (III) Beneficial Effects

[0026] 1. A single architecture covering complex systems across all industries, fundamentally addressing the common pain points of various systems worldwide, such as loss of control, lack of traceability, difficulty in supervision, and difficulty in collaboration;

[0027] 2. Pre-emptive rigid anchoring ensures strong control over the bottom line of system behavior, completely eliminating overstepping boundaries, violations, and security risks;

[0028] 3. The black box provides full traceability, ensuring accountability, process traceability, risk assessment, and admissible evidence;

[0029] 4. Distributed quantization collaboration supports ultra-large-scale expansion, balancing security, efficiency, and global consistency;

[0030] 5. Cross-industry compatibility can significantly reduce redundant social investment and build a globally unified and trustworthy digital infrastructure foundation;

[0031] 6. It can automatically correct deviations, is intelligently monitored, and is legally credible, possessing extremely high social and commercial application value. Attached Figure Description

[0032] Figure 1 General Complex System Governance Architecture Framework

[0033] The architecture framework includes a core anchoring layer, a black box trusted traceability layer, and a distributed quantization collaboration layer; the core anchoring layer and the black box trusted traceability layer, as well as the black box trusted traceability layer and the distributed quantization collaboration layer, are connected by bidirectional arrows, representing closed-loop feedback.

[0034] Figure 2 System operation flowchart

[0035] The flowchart is as follows: 1. Request initiation, 2. Anchor verification, 3. Allow execution, 4. Black box recording, 5. Distributed quantitative evaluation, 6. Automatic correction, 7. Return to anchor verification, and finally return to anchor verification to form a closed loop operation. Detailed Implementation

[0036] (Capped at 12 items, covering the entire industry)

[0037] Example 1: Governance of Artificial Intelligence Systems

[0038] Focusing on large-scale model interaction, generative AI, and intelligent assistant systems, the core anchors are ethical safety, content compliance, and algorithm transparency; the entire interaction process and model decision-making are recorded in a black box; and distributed quantitative collaboration among multiple service nodes enables AI behavior to be controllable, traceable, and corrective.

[0039] Example 2: Financial Risk Control and Supervision

[0040] Targeting payment clearing, credit approval, and transaction matching systems, regulatory rules, fund security, and anti-fraud thresholds are set as core anchors; all transactions are recorded in a black box; and distributed verification by multiple institutional nodes ensures compliance control, risk traceability, and accountability.

[0041] Example 3: Medical Treatment Safety Management

[0042] Targeting clinical diagnosis and treatment, surgical management, and medication prescription systems, the system sets treatment guidelines, life safety, and medication red lines as core anchors; all medical behaviors are recorded in a black box; and multi-hospital distributed collaboration is used to achieve standardized diagnosis and treatment, guaranteed safety, and auditable processes.

[0043] Example 4: Urban Governance and Government Operations

[0044] Targeting city brains, government services, and public management platforms, the system sets laws and regulations, public safety, and procedural norms as core anchors; all government affairs are fully traceable; and multi-level departments collaborate in a distributed manner to achieve transparency, compliance, efficiency, and traceability.

[0045] Example 5: Industrial Internet and Intelligent Manufacturing

[0046] Targeting industrial production lines, CNC equipment, and production control systems, the system sets equipment safety thresholds, process specifications, and environmental standards as core anchors; records the entire equipment operation process in a black box; and achieves safe, stable, and traceable production through distributed collaboration across multiple production lines.

[0047] Example 6: Intelligent Driving and Vehicle-Road Cooperation

[0048] Targeting autonomous driving, vehicle-road cooperation, and traffic dispatching systems, traffic regulations, collision safety, and traffic rules are set as core anchors; vehicle perception, decision-making, and control commands are recorded in the black box throughout the process; and vehicle-road-cloud distributed collaboration enables driving safety and accident liability determination.

[0049] Example 7: Energy Grid and Power Dispatch

[0050] Targeting smart grids, new energy dispatching, and power consumption management systems, load thresholds, power supply safety, and environmental protection standards are set as core anchors; dispatching instructions and equipment status are recorded in a black box; and distributed collaboration among power plants in multiple regions is implemented to achieve grid stability and controllable risks.

[0051] Example 8: Blockchain and Digital Asset Regulation

[0052] Targeting blockchain transactions, digital assets, and smart contract systems, the system sets regulatory compliance, transaction limits, and anti-money laundering rules as core anchors; the entire process of transfer and clearing is recorded in a black box; and multi-node distributed verification ensures that the system is regulatory, traceable, and tamper-proof.

[0053] Example 9: Educational Equity and Teaching Quality Management

[0054] Targeting online education, student registration management, and teaching evaluation systems, the system sets educational standards, fairness principles, and evaluation norms as core anchors; learning trajectories and evaluation processes are recorded in a black box; and multi-campus distributed collaboration ensures fairness, standardization, and traceability.

[0055] Example 10: Recording the Entire Process of Judicial Fairness and Law Enforcement

[0056] Targeting law enforcement, judicial trials, and evidence management systems, the system sets legal procedures, evidence standards, and rules of rights and responsibilities as its core anchors; the entire case-handling process is recorded in a black box; and multi-departmental distributed collaboration ensures procedural legality, traceable evidence, and clear rights and responsibilities.

[0057] Example 11: Modern Agriculture and Food Security Management

[0058] Focusing on smart agriculture, planting management and control, and agricultural product traceability systems, quality and safety, pesticide use standards, and environmental protection standards are set as core anchors; the entire planting and distribution process is recorded in a black box; and multi-base distributed collaboration is used to achieve safety traceability and quality control.

[0059] Example 12: Public Safety and Emergency Management

[0060] Targeting security monitoring, emergency command, and disaster early warning systems, the core anchors are public safety bottom lines and handling standards; the entire incident handling process is recorded in a black box; multi-regional collaboration enables rapid response, process traceability, and compliant handling.

Claims

1. A general governance architecture for complex systems based on core anchoring and black-box trusted traceability, characterized in that, include: The core anchoring layer is configured with a rigid bottom-line rule base that cannot be broken, bypassed, or tampered with, and performs pre-verification and blocking control on all behaviors; The black box trusted traceability layer encrypts, timestamps, and immutably records the entire process of system behavior, decisions, instructions, and data interactions, supporting playback, auditing, and judicial acceptance; The distributed quantitative collaboration layer constructs a unified quantitative indicator system across all nodes, enabling global perception, deviation identification, automatic early warning, and collaborative correction, and supports large-scale expansion. The three layers form a closed-loop collaboration, enabling complex systems to achieve global controllability, full-process reliability, full-link traceability, full-scale quantifiability, fully automatic correction, and large-scale safe operation.

2. The architecture according to claim 1, characterized in that, It can be applied to all scenarios including artificial intelligence, finance, healthcare, urban governance, industry, transportation, energy, blockchain, education, judiciary, agriculture, and public safety.

3. The architecture according to claim 1, characterized in that, The rigid bottom-line rule base includes laws and regulations, mandatory standards, safety thresholds, ethical norms, business red lines, life safety, property safety, and public order rules.

4. The architecture according to claim 1, characterized in that, The black box records information that can fully reproduce the process of the action, the operating entity, the basis for execution, and the results of the operation, which can be used for liability determination and risk tracing.

5. The architecture according to claim 1, characterized in that, The distributed quantization collaboration layer supports unified collaboration of millions of nodes across industries, entities, regions, and devices.

6. A method for comprehensive governance of complex systems, characterized in that, include: Receive node behavior or external requests; A rigid baseline check is performed through the core anchoring layer; if the requirement is not met, the process is directly blocked. Once the verification is successful, the action is executed, and the entire process is encrypted and tamper-proofly recorded through the black box layer. Global state evaluation and deviation identification are performed through a distributed quantization layer; It automatically corrects abnormal behavior, forming a closed loop and continuously maintaining safe operation within the bottom-line rules.

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