Central air conditioner simulating system and method based on algorithm verification of group intelligent building platform

Abstract

The invention discloses a central air conditioner simulating system and a method based on the algorithm verification of a group intelligent building platform. The group intelligent building platform comprises m + n identical physical intelligent controllers. The m + n identical physical intelligent controllers are connected with the simulating server through a switching unit. The switching unit isused for communication between each intelligent node in the group intelligent building platform and the equipment module and between each building space in the simulating server and the equipment module. Performing simulation processing by the simulating server. The monitoring host is connected with the simulating server, and used for displaying the results of the simulating system and controlling the operating conditions of the simulating system. The central air conditioner simulating system based on the algorithm verification of the group intelligent building platform has the characteristics of high expandability, simple use and the like, and can visually realistically reflect the actual operating state of the non-central control system of the building equipment.

Description

Technical field [0001] The invention belongs to the technical field of simulation systems, and specifically relates to a central air conditioning simulation system and method based on algorithm verification of a group intelligent building platform. Background technique [0002] The group intelligent building system is a distributed and group intelligent building automation platform that is applied to various subsystems such as building lighting, air conditioning, security, fire protection, and elevators. The platform has the characteristics of distributed, self-organization, and plug-and-play. Through the local computing and collaborative computing functions of group intelligent nodes, it provides a new method for solving the optimization control problems of various complex systems in the building. [0003] The group intelligent building system divides the building into several basic units: building space unit and electromechanical equipment unit. Each unit is equipped with an ind...

AI Technical Summary

Problems solved by technology

[0004] However, the application algorithm based on the swarm intelligent building platform is a self-organizing and self-coordinating parallel algorithm, which is different from the traditional serial control logic. The algorithm development is difficult and requires continuous debugging and improvement.

Secondly, using real physical equipment to verify the application algorithm is not only expensive, the experimental method is complicated, and the test cycle is long

Images