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Ventilation system autonomous optimization operation regulation and control platform and method based on digital twinning

A ventilation system and optimization operation technology, applied in the field of ventilation, can solve problems such as the overall optimization of the ventilation system, not being timely and accurate, and not being able to achieve real-time analysis, so as to achieve the goal of realizing ventilation energy consumption, minimizing, and ensuring effectiveness Effect

Pending Publication Date: 2022-04-12
英集动力科技(嘉兴)有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the ventilation system is composed of multiple elements, which are organically connected and interact with each other. Using traditional simple modeling analysis, it is difficult to achieve the overall optimization of the ventilation system, and the various elements cannot be coordinated with each other. It does not meet the requirements of real-time analysis, and it is not timely and accurate enough to meet the needs of scientific and precise control when making corresponding control decisions. To make it highly coordinated, it is necessary to analyze, monitor and monitor the operating principle and operation process of the ventilation system. The whole life cycle management of the control realizes real-time monitoring, early warning and independent decision-making of the operating status of the ventilation system

Method used

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  • Ventilation system autonomous optimization operation regulation and control platform and method based on digital twinning
  • Ventilation system autonomous optimization operation regulation and control platform and method based on digital twinning
  • Ventilation system autonomous optimization operation regulation and control platform and method based on digital twinning

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Embodiment 1

[0107] figure 1 It is a schematic structural diagram of a digital twin-based ventilation system autonomous optimization operation control platform involved in the present invention.

[0108] Such as figure 1 As shown, this embodiment 1 provides a digital twin-based ventilation system autonomous optimization operation control platform, which includes: ventilation equipment layer, ventilation access layer and ventilation independent decision-making layer, the ventilation equipment layer will operate through the ventilation access layer The data and status data are sent to the ventilation independent decision-making layer. After centralized decision-making, the ventilation independent decision-making layer transmits the optimization goals and control instructions to the corresponding ventilation equipment in the ventilation equipment layer from top to bottom through the ventilation access layer for independent optimization and control. ;

[0109] The ventilation equipment layer...

Embodiment 2

[0196] This embodiment 2 provides a method for self-optimized operation and control of the ventilation system based on digital twins, which includes:

[0197] Establish the ventilation equipment layer, ventilation access layer and ventilation independent decision-making layer. The ventilation equipment layer sends the operation data and status data to the ventilation independent decision-making layer through the ventilation access layer. After centralized decision-making, the ventilation independent decision-making layer will optimize the target and control The instructions are then transmitted from top to bottom through the ventilation access layer to the corresponding ventilation equipment in the ventilation equipment layer for autonomous optimization and control;

[0198] Among them, the ventilation equipment layer includes fans, air intake structure, return air structure, ventilation adjustment components, filter components, exhaust structure and heat exchangers. The ventil...

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Abstract

The invention discloses a ventilation system autonomous optimization operation regulation and control platform and method based on digital twinning, and the platform comprises a ventilation equipment layer, a ventilation access layer and a ventilation autonomous decision-making layer, and the ventilation equipment layer transmits operation data and state data to the ventilation autonomous decision-making layer through the ventilation access layer. And after the ventilation autonomous decision-making layer makes a centralized decision, an optimization target and a control instruction are transmitted to corresponding ventilation equipment of the ventilation equipment layer from top to bottom through the ventilation access layer for autonomous optimization regulation and control. The invention provides an autonomous optimization regulation and control platform and method for a ventilation system based on digital twinning, which are used for carrying out full life cycle management of analysis, monitoring and control on the operation principle and the operation process of the ventilation system, and realizing real-time monitoring, early warning and autonomous decision making on the operation state of the ventilation system, so that all elements of the ventilation system are coordinated with one another, and the optimization of the ventilation system is realized. And the requirement of real-time analysis is met.

Description

technical field [0001] The invention belongs to the technical field of ventilation, and in particular relates to a digital twin-based autonomous optimization operation control platform and method for a ventilation system. Background technique [0002] Ventilation is a building environment control technology that controls the spread and harm of air pollutants by means of ventilation dilution or ventilation discharge, and realizes the quality assurance of indoor and outdoor air environments. The ventilation system is to realize the function of ventilation, including a complete set of devices including air inlets, exhaust outlets, air supply ducts, fans, filters, control systems and other ancillary equipment. At present, ventilation systems have been widely used in underground space, clean technology, safety ventilation, industrial building ventilation, agricultural fields and other special fields. [0003] Nowadays, with the rapid development of computer network technology, t...

Claims

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Application Information

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IPC IPC(8): F24F11/32F24F11/56F24F11/64F24F11/74F24F11/79F24F11/80F24F11/88F24F110/10F24F110/20F24F110/64F24F110/72
CPCY02B30/70
Inventor 时伟穆佩红谢金芳
Owner 英集动力科技(嘉兴)有限公司