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Optimization method of operating parameters of fluid-heated snow melting system based on multi-objective programming

A multi-objective planning and operating parameter technology, applied in marketing, data processing applications, business, etc., can solve the problems of inability to calculate the snow melting effect of the system and uncertain operating costs, and achieve snow melting effect guarantee, economic cost control, convenient and intuitive use Effect

Active Publication Date: 2018-12-21
HARBIN INST OF TECH
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing technology cannot calculate the snow melting effect and operating cost of the system, and cannot determine the optimal operating parameters, and proposes an optimization method for the operating parameters of the fluid heating snow melting system based on multi-objective programming

Method used

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  • Optimization method of operating parameters of fluid-heated snow melting system based on multi-objective programming
  • Optimization method of operating parameters of fluid-heated snow melting system based on multi-objective programming
  • Optimization method of operating parameters of fluid-heated snow melting system based on multi-objective programming

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specific Embodiment approach 1

[0034] Embodiment 1: The method for optimizing the operating parameters of the fluid heating and snow melting system based on multi-objective programming includes the following steps:

[0035] Step 1: Establish a snowmelting effect database of the fluid heating snowmelting system;

[0036] Step 2: According to the snow melting effect database of the fluid heating snow melting system established in step 1, calculate the snow melting effect F of the fluid heating snow melting system under a certain working condition, and the working conditions include ambient temperature, solar radiation intensity, wind speed and snowfall rate;

[0037] Step 3: Calculate the transfer heat flux q by establishing the control equation of the transfer heat flux, and obtain the operating cost M of the fluid heating and snow melting system within the range of the road body per unit area according to the transfer heat flux q;

[0038] Step 4: Determine the economic index R, and evaluate the operating c...

specific Embodiment approach 2

[0044] Embodiment 2: The difference between this embodiment and Embodiment 1 is that the specific process of establishing the snow melting effect database of the fluid heating snow melting system in the first step is as follows:

[0045] The 4 environmental parameters and 2 operating parameters are selected according to the local climate conditions for equal gradient trial calculation values ​​to form a 6-dimensional snowmelt effect trial grid, and use the self-developed fluid heating road surface snowmelt system simulation calculation software (software name: Fluid Snow melting performance simulation software for heating road surface snow melting system; software abbreviation: snow melting performance calculation software; registration number: 2018SR439618) simulates and predicts the operating state of the fluid heating snow melting system, and obtains the road surface under different working conditions and operating parameters of the fluid heating snow melting system For the ...

specific Embodiment approach 3

[0055] Embodiment 3: The difference between this embodiment and Embodiment 1 or 2 is that in Step 2, the snow melting effect of the fluid heating snow melting system is calculated according to the snow melting effect database of the fluid heating snow melting system established in Step 1. The specific process of F is:

[0056] According to the snow melting effect database of the fluid heating snow melting system established in step 1, the snow melting effect of a certain working condition and system operating parameters is calculated by using a linear interpolation function. In the simulation calculation software of the fluid heating pavement snow melting system, it is necessary to input the thermodynamic parameters of the road body structure and the geometric parameters of the system construction, and the values ​​of the parameters need to be determined according to the actual setting of the researched system. The snow melting effect under certain environmental conditions is ...

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Abstract

The invention relates to an optimization method for operating parameters of a fluid heating snow melting system based on a multi-objective programming, and relates to an optimization method for operating parameters of the fluid heating snow melting system. The invention solves the problems that the prior art can not calculate the snow melting effect and the operation cost of the system and can notdetermine the optimal operation parameters. The invention comprises the following steps: 1. Establishing a snow melting effect database of a fluid heating snow melting system; 2, calculate that snowmelting effect of the fluid heat snow melting system under a certain working condition; 3, obtain that operating cost M of the fluid heat snow melting system in the range of the unit area road body according to the heat flux q; IV. Evaluation of M; 5. Establishing the optimization model of the operation strategy of the fluid heating snow melting system by using the method of multi-objective programming; 6, obtaining the optimal operation parameters of the fluid heat snow melting system under a certain working condition; 7, repeat that step 6 to obtain the control chart of the operation parameters of the fluid heat snow melting system under the full working condition. The invention is used in the field of transportation engineering.

Description

technical field [0001] The invention relates to the field of traffic and transportation engineering, in particular to a method for optimizing operating parameters of a fluid heating and snow melting system. Background technique [0002] In northern China, the problem of snowmelt in snowy weather seriously restricts the safe and efficient operation of roads, bridges and airports. Currently used deicing methods such as deicing agents, snow removal vehicles, or manual snow removal all have certain limitations. Deicing agents have certain harm to the environment and building structures, and their performance is greatly affected by environmental factors; machinery Snow removal and artificial snow removal need to occupy the road, which affects the normal operation of roads, bridges or airports, and the snow removal efficiency is low. With the progress of snowfall, repeated snow removal is often required. In response to the above problems, scholars have developed a fluid heating r...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0283
Inventor 徐慧宁石浩谭忆秋张弛孙志棋
Owner HARBIN INST OF TECH
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