Circular updating planning method and system suitable for solid waste base park, equipment and medium

Abstract

The invention provides a circular updating planning method suitable for a solid waste base park. The method comprises the following steps of S1, inputting urban development parameters, planning parameters, model parameters and equipment states for updating, S2, determining the updated state of the equipment according to all possible solutions, S3, after the reward value is obtained, storing the reward value and the state change in a memory pool for standby application, S4, combining experience accumulation in the memory pool with the current action to update parameters, and S5, fusing the urban development prediction result with the initial state of the equipment to obtain an equipment updating scheme. The invention further provides a circular updating plan, equipment and medium suitable for the solid waste base park. The method has time sequence and universality, the planning scheme can be cyclically updated more meticulously according to urban development changes, and unnecessary cost generated by misjudgment of the scheme on the future development trend is reduced at the same time.

Description

technical field [0001] The present invention relates to the technical field of solid waste infrastructure planning, in particular to a method, system, equipment, and medium suitable for cycle renewal planning of solid waste base parks. Background technique [0002] Energy is an important material basis for human production and life. After humans entered the industrial society, the demand for energy continued to increase. However, the extensive use of non-renewable energy and the irrational energy structure have put enormous pressure on the environment, and the increasing waste has made the phenomenon of "garbage besieged" increasingly prominent. Coordinating the relationship between energy and environment will become the key to sustainable urban development. But now there is a technical problem that the solid waste base park system cannot consistently give a progressive planning scheme for the optimal system cycle in the face of different urban development situations, so it...

AI Technical Summary

Problems solved by technology

The disadvantage of this existing technology is that it cannot solve the planning scheme of the material-energy system of the solid waste base under different conditions according to the multi-objective update planning optimization model

The disadvantage of this existing technology is that although the action decision-making in a single time scale may cause system saturation and instability in some cases, the energy storage The optimal action decision generated by the charging and discharging action of the battery pack cannot of course be derived to solve the planning scheme for the material-energy system of the solid waste base under different conditions

However, although this existing technology can be applied to different operating scenarios, it still does not solve the technical problem of how to update the planning scheme cyclically, and the RDG typical processing scenario adopted does not have a deep deterministic strategy to provide high precision for the planning scheme. Positive help for the planning scheme

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