Every IESASP project begins with a demand. From that single starting point, our methodology translates physical requirements into organized, evidence-based action — governed from first sensing to final settlement by the EAVC standard.
Over the past thirty years, IESASP and its strategic partners have operated a layered framework(Primal, Analogical, and Derivative) to support Evidence-based decision-making and system-wide operations, and to manage the allocation of resources and assets for demand-side and related stakeholder parties.
On this basis, the system integrates a decentralized ledger mechanism to enable multi-party data recording, verification, and consensus-based distribution.
Within a consistent framework aligned with standards of resource and Law of Conservation of Energy, this architecture ensures structured service delivery across integrated systems and full-lifecycle operations and maintenance (O&M), forming a source of revenue for IESASP.
The Consensus Mosaic (CMF) then act as the organizational framework, adopt a decentralized horizontal division of labor architecture based on the EAVC (Energy-Anchored Value Consensus) protocol, where various professional sectors operate independently yet integrate perfectly under the unified logic of the EAVC.
Step 1 — Demand
Demand is the foundational factor that activates the entire EAVC framework, P-A-D system and CMF. Demand occurs when there is a desire for a specific solution, backed by the ability and willingness to pay for it at a specific price
Step 2 — Primal Sensing (P)
Specialized Situational Awareness Sensing Tools are deployed to capture multi-scale raw signals — atmospheric CO₂ levels, water quality parameters, chlorophyll concentrations, or human basal temperature changes, then extract the outliers from the info set.
Step 3 — Analogy Base(A)
Demand-correlated Analogous Database (A) is a spatiotemporal knowledge and information repository established based on specific requirements, designed to transform the outliers uploaded by P into analogical standard.
Step 4 — Derivative Decision (D)
Demand-correlated Derivative Framework (D) is a system based on the Eenergy Anchored Value Consensus(EAVC) Framework and Maximum Probability Values that utilizes CMF Horizontal Division of Labor to transform the energy information acquired during the P and A phases into a series of derivative products characterized by specific attributes.
Step 5 — Consensus Mosaic Framework (CMF)
The Consensus Mosaic (CMF) is the organizational framework adopts a decentralized horizontal division of labor architecture based on the EAVC (Energy-Anchored Value Consensus) protocol, where various professional sectors operate independently yet integrate perfectly under the unified logic of the EAVC.
Step 6 — EAVC Governance & Settlement
The entire project lifecycle is governed by the EAVC standard. Energy serves as the sole unit of account. All contributions in ordered and disordered energy flows are quantified, all payments are auditable, and every project lifecycle is evaluated and closed under EAVC standards.
Step 7 — Long-term O&M
The Digital Dock uploads 1~X sensing parameters at a frequency of six times per minute. When anomaly values are triggered, the system automatically sends warning alerts and maintenance work orders, initiating unattended articulated-module operations.
Step 1 — Demand
Demand is the foundational factor that activates the entire EAVC framework, P-A-D system and CMF. Demand occurs when there is a desire for a specific solution, backed by the ability and willingness to pay for it at a specific price
Step 2 — Primal Sensing (P)
Specialized Situational Awareness Sensing Tools are deployed to capture multi-scale raw signals — atmospheric CO₂ levels, water quality parameters, chlorophyll concentrations, or human basal temperature changes, then extract the outliers from the info set.
Step 3 — Analogy Base(A)
Demand-correlated Analogous Database (A) is a spatiotemporal knowledge and information repository established based on specific requirements, designed to transform the outliers uploaded by P into analogical standard.
Step 4 — Derivative Decision (D)
Demand-correlated Derivative Framework (D) is a system based on the Eenergy Anchored Value Consensus(EAVC) Framework and Maximum Probability Values that utilizes CMF Horizontal Division of Labor to transform the energy information acquired during the P and A phases into a series of derivative products characterized by specific attributes.
Step 5 — Consensus Mosaic Framework (CMF)
The Consensus Mosaic (CMF) is the organizational framework adopts a decentralized horizontal division of labor architecture based on the EAVC (Energy-Anchored Value Consensus) protocol, where various professional sectors operate independently yet integrate perfectly under the unified logic of the EAVC.
Step 6 — EAVC Governance & Settlement
The entire project lifecycle is governed by the EAVC standard. Energy serves as the sole unit of account. All contributions in ordered and disordered energy flows are quantified, all payments are auditable, and every project lifecycle is evaluated and closed under EAVC standards.
Step 7 — Long-term O&M
The Digital Dock uploads 1~X sensing parameters at a frequency of six times per minute. When anomaly values are triggered, the system automatically sends warning alerts and maintenance work orders, initiating unattended articulated-module operations.
IESASP provides P-A-D system access, CMF organization and integration, enabling all producers to reach EAVC consensus and form a horizontal division of labor model. After completing the fixed-cost P-A-D access, services and maintenance will be mainly provided by "unattended" systems. Since the physical cost is constant, every additional unit of "ordered energy" output in the PAD system is pure profit.
If you have any needs to improve your ordered energy output, please feel free to contact us.