Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fan regulation and control method and device for performing fuzzy control on multiple temperature sensors

A fuzzy control and sensor technology, applied in the direction of electric controllers, controllers with specific characteristics, instruments, etc., can solve the problems of equipment overheating and downtime, temperature conditions are not timely, etc., and achieve wide application prospects, simple structure, and design principles reliable effect

Pending Publication Date: 2022-06-21
SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows for precise control over multiple temperatures without relying solely upon an error-prone process like proportional integral derivative (PID) algorithms or other methods such as analog techniques. Additionally, it provides stable operation even at high speeds due to its reliability and simplicity.

Problems solved by technology

In summary, technical problem addressed in this patented technology relates to providing an improved way to manage fans within servers without causing damage or even losing their performance due to excessive heat caused from high temperatures.

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fan regulation and control method and device for performing fuzzy control on multiple temperature sensors
  • Fan regulation and control method and device for performing fuzzy control on multiple temperature sensors
  • Fan regulation and control method and device for performing fuzzy control on multiple temperature sensors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] like figure 1 As shown, the present invention provides a fan regulation method for fuzzy control of multiple temperature sensors, comprising the following steps:

[0084] S1. BMC obtains the required fuzzy rules from the fuzzy rule base; the fuzzy rules include front temperature conditions and rear speed conclusions;

[0085] S2. The BMC obtains the readings of each temperature sensor, and calculates the readings of each temperature sensor as the input to the membership degree of the temperature conditions in front of each fuzzy rule;

[0086] S3. The BMC obtains the fuzzy operators of each fuzzy rule respectively, and then uses the corresponding membership degrees of the temperature conditions in the front of the fuzzy rules as inputs, and calculates the membership degrees of the temperature conditions in the front of the fuzzy rules through the fuzzy operators to obtain the fuzzy The weight of the temperature condition at the front of the rule;

[0087] S4. BMC appl...

Embodiment 2

[0090] like figure 2 As shown, the present invention provides a fan regulation method for fuzzy control of multiple temperature sensors, comprising the following steps:

[0091] S1.BMC obtains the required fuzzy rules from the fuzzy rule base; the fuzzy rules include the front temperature condition and the rear speed conclusion; the specific steps are as follows:

[0092] S11. Integrate expert experience to create a fuzzy rule base;

[0093] S12. Set each rule in the fuzzy rule base as the hypothesis conclusion format of the front temperature condition and the rear speed conclusion to obtain the fuzzy rules;

[0094] S13. BMC selects the required fuzzy rules from the fuzzy rule base;

[0095] S2. BMC obtains the readings of each temperature sensor, and calculates the membership degree of each temperature sensor reading as an input to the temperature condition in front of each fuzzy rule; the specific steps are as follows:

[0096] S21. BMC obtains each fuzzy rule as the fi...

Embodiment 3

[0116] like figure 2 As shown, the present invention provides a fan control method for fuzzy control of multiple temperature sensors, comprising the following steps:

[0117] S1.BMC obtains the required fuzzy rules from the fuzzy rule base; the fuzzy rules include the front temperature condition and the rear speed conclusion; the specific steps are as follows:

[0118] S11. Integrate expert experience to create a fuzzy rule base; the rules in the fuzzy rule base are the core of fuzzy control, and the number of rules and whether the rules are correct or not directly affect the effect of fuzzy control, and the system knowledge of experts is collected as rules to form a fuzzy rule base;

[0119] S12. Set each rule in the fuzzy rule base as the hypothetical conclusion format of the front temperature condition and the rear speed conclusion to obtain fuzzy rules; set each rule in the fuzzy rule base as the form of conditions and conclusions, such as "if... Then..." form a fuzzy ru...

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

No PUM Login to View More

Abstract

The invention provides a fan regulation and control method and device for conducting fuzzy control on multiple temperature sensors, and belongs to the technical field of fan regulation and control. Obtaining the reading of each temperature sensor, and calculating the membership degree of each temperature to the front temperature condition of the rule; obtaining a fuzzy operator of each fuzzy rule, and carrying out operation on each membership degree of the front temperature condition of the fuzzy rule to obtain a weight of the front temperature condition of the fuzzy rule; the weights of the front temperature conditions of all the fuzzy rules are applied to the rear rotating speed conclusion of the same fuzzy rule, curves of the rear rotating speed conclusion are obtained, all the curves are combined, and a fuzzy set of all the fuzzy rules is obtained; and performing defuzzification on the curves of all the fuzzy rules to obtain the rotating speed of the fan, and adjusting the rotating speed of the fan. The fan rotating speed is directly calculated according to the temperature by using the fuzzy control algorithm, so that the problem of CPU downtime caused by untimely temperature control is avoided.

Description

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

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
no application Login to View More
Owner SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com