Energy saving expert system based on energy consumption device models

Abstract

The invention discloses an energy saving expert system based on energy consumption device models and a control decision method. The system comprises a model simulation module, a cost forecasting module and an expert suggestion determining module, wherein the model simulation module is used for simulating a plurality of energy consumption device models according to real-time measured data and preset constraint conditions of a current energy consumption device, and obtaining a plurality of simulation results; the cost forecasting module is used for obtaining a forecast cost of each simulation result according to an objective function; and the expert suggestion determining module is used for determining expert suggestions on the current energy consumption device according to the forecast cost. According to the energy saving expert system, expert suggestions on a concrete energy consumption device are determined in combination with the real-time measured data and the existing energy consumption device models, so that the energy consumption device saves energy better and is safer; a control device in an energy management system is simple and easy to deploy and maintain, and plenty of costs are reduced while the reliability of the device is guaranteed.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an energy-saving expert system and a control decision-making method based on an energy-consuming equipment model. Background technique [0002] The existing energy management system in the building is mainly manifested as the building automation system. According to relevant surveys, 90% of building control systems in China "only measure but not control", and cannot truly realize automation, while a small number of systems that truly realize self-control consume higher energy consumption, and the application of the entire industry is not good. On the one hand, this reflects the current situation that the overall level of the industry is not high, and on the other hand, it also reflects the lack of existing building automation technology. Several outstanding problems in the existing technology are: the design, deployment and maintenance of control equipment are heavy; the relia...

AI Technical Summary

Problems solved by technology

Several outstanding problems in the existing technology are: the design, deployment and maintenance of control equipment are heavy; the reliability of the equipment is low under the existing cost constraints; The method of judgment; the control algorithm lacks a comprehensive optimization method for energy saving, safety and comfort

At present, expert systems are usually used to make decisions. However, the effectiveness of expert systems cannot be verified, and expert strategies are poorly targeted and robust, causing a large number of energy management systems to fail to achieve the expected results.

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