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

Optimal stop time prediction model of floor-radiating heating system

A technology of stopping time and prediction model, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve problems such as prediction result error, complexity of floor radiant heating system, and complexity of neural network method prediction control system. The effect of high accuracy and simple control system

Inactive Publication Date: 2015-08-26
TIANJIN UNIV OF COMMERCE
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the neural network predictive control system is complex and is generally used in large-scale central air-conditioning
Although these methods have their own characteristics, due to the complexity of the floor radiant heating system and the limitations of traditional algorithms, there are certain errors in the prediction results.

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
  • Optimal stop time prediction model of floor-radiating heating system
  • Optimal stop time prediction model of floor-radiating heating system
  • Optimal stop time prediction model of floor-radiating heating system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0031] The schematic diagram of the radiant floor heating system of the present invention is as image 3 As shown, it includes a room temperature control system 1, a heat source system 2, a water separator system 3 and a floor heating part 4.

[0032] 1. Determination of the factors affecting the optimal stopping time:

[0033] The analysis shows that there are many factors that affect the indoor thermal environment, which can be roughly divided into three types: room temperature change related factors, heat related factors required for room temperature changes, and heat capacity characteristics related factors. Related factors of room temperature change: there are two main ones: initial temperature and target temperature. The factors related to the heat required for room temperature changes can be divided into two categories: heat supply related facto...

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 discloses an optimal stop time prediction model of a floor-radiating heating system and aims at providing an optimal stop time prediction model used for closing the floor-radiating heating system in advance according to predicted optimal stop time before habitants leave a room so as to achieve the energy-saving purpose on the premise that the comfort requirement of human is ensured. The regression equation of the optimal stop time prediction model is as follows: 1g(tstop) = 0.9698 + 0.1957 * deltaT-0.0468 * Tg + 0.012 * Tout, wherein the tstop represents optimal stop time, the deltaT represents room temperature change value, Tg represents target room temperature, and Tout represents outdoor temperature. According to the optimal stop time prediction model, several independent variables convenient to monitor are selected as regression variables, the prediction model is determined through regression analysis so as to achieve practicability of the prediction model. A prediction result obtained through multivariate regression analysis is higher in accuracy, a control system is simple, real-time control can be achieved, and the optimal stop time prediction model is suitable for control of a residential building heating system.

Description

Technical field [0001] The invention relates to a prediction model for the optimal stopping time of a floor radiation heating system. Background technique [0002] Radiant floor heating has the advantages of high comfort, significant energy-saving effect, good system thermal stability, long service life and low operating costs. Radiant floor heating systems are widely used in residential buildings. Due to the structural characteristics of the radiant floor heating system, the low-temperature hot water pipeline is embedded in the floor structure, and the system has high thermal inertia, slow thermal response, and slow system preheating. Currently. The traditional mode of operation is to stop when a person enters the room, and shut down when the person leaves. When the radiant floor heating system is operated in the traditional operation mode, the indoor temperature change curve diagram is as follows figure 1 Shown. From figure 1 It can be seen that in accordance with the tradi...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 金梧凤贾利芝张宁宁刘新明
Owner TIANJIN UNIV OF COMMERCE
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