Optimizing Method of Temperature Adjustment Adaptive Distributed Device Based on Genetic Algorithm
A genetic algorithm and temperature adjustment technology, applied in the direction of temperature control, transmission system, advanced technology, etc. using electric methods, can solve problems such as poor robustness and inability to schedule cooling of peripheral subsystems
Active Publication Date: 2021-09-10
南京百敖软件有限公司 +3
View PDF6 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
The robustness of the existing system is very poor, and the local-centered design concentrates the risk in the center. Once a problem occurs in the program or the fan controlled by it is damaged, it can only give a shutdown report and wait for manual intervention, but cannot dispatch peripheral subsystems. Cool down and continue to provide service
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0031] The optimization method of the temperature adjustment self-adaptive distributed device based on the genetic algorithm uses the hardware and software basis of the Internet of Things to embed the Internet of Things chip on each cooling device. As long as the Internet of Things chip can run the scheduling algorithm described in this method, it can be used in A Mesh communication network is formed in a computer system (such as a cloud computer room); each cooling device is a self-consistent system, and the self-consistent system communicates with an accessory neighbor subsystem (adjacent AI radiator) through a Mesh network; each cooling device is A control system with a genetic algorithm is implanted to become an AI radiator, and all AI radiators form a cooling cluster; driven by the preset environmental pressure and constrained by the genetic algorithm, the cooling cluster spontaneously and dynamically searches for a local optimum for power saving Solution, complete the ada...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an optimization method of a temperature-adjusting self-adaptive distributed device based on a genetic algorithm, and belongs to the technical field of control and optimization of a cooling system. This method uses the hardware and software foundation of the Internet of Things to embed an Internet of Things chip on each heat dissipation device to form a Mesh communication network; each heat dissipation device is a self-consistent system, and the self-consistent system communicates with the neighboring subsystem of the accessory through the Mesh network; A cooling device is implanted into a control system equipped with a genetic algorithm to become an AI radiator, and all AI radiators form a cooling cluster; driven by environmental pressure, the cooling cluster dynamically searches for a local optimal solution to save power, and completes the response Adaptive adjustment process to environmental changes. During the optimization process of the present invention, a plurality of radiator devices form a cluster to achieve a decentralized distributed adaptive temperature condition change and a change in the number of cluster individuals, which saves power and has high availability, high scalability and great robustness.
Description
technical field [0001] The invention belongs to the technical field of control and optimization of a cooling system, and in particular relates to an optimization method of a temperature-adjusting self-adaptive distributed device based on a genetic algorithm. Background technique [0002] Modern computer systems, whether it is a laptop or a cloud server room, the cooling system will consume a lot of power. The PUE (power usage efficiency) index of the system is an important data to measure its TCO (total cost of ownership). The cooling system is designed. Therefore, reducing the power consumption of the cooling system is a very important technology. On the other hand, the designed heat dissipation system often has the characteristics of local center, overall split, passive and low efficiency. Each heat dissipation part of the heat dissipation system operates with fixed heat dissipation parameters, or passively reports and dispatches the corresponding local central control sy...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G05D23/19H04L29/08H04W84/18
CPCG05D23/19H04L67/10H04W84/18Y02D30/70
Inventor 吴平谢乾卢炬高杰张超高黎明余彧曹胜明
Owner 南京百敖软件有限公司