CN-121997822-A - Modeling analysis method for air flow field of air conditioner in cigarette factory process

CN121997822ACN 121997822 ACN121997822 ACN 121997822ACN-121997822-A

Abstract

The invention discloses a modeling analysis method of an air flow field of an air conditioner in a cigarette factory, which comprises the steps of collecting simulation boundary condition data, combining a physical model and a fluid characteristic model, solving a basic control equation to obtain environment field distribution data, combining the simulation boundary condition data to perform air flow organization simulation to obtain a current simulation result and a related simulation result, collecting actual measurement data to compare with the current simulation result of a corresponding point location, returning to execute the collection of the simulation boundary condition data when a first deviation condition is met, comparing the current simulation result with a preset temperature and humidity standard when the first deviation condition is not met, adjusting current air supply combination parameters according to the comparison result and the related simulation result when a second deviation condition is met, returning to execute the collection of the simulation boundary condition data, and generating a regulation scheme of the air conditioner in the cigarette factory based on the current air supply combination parameters when the second deviation condition is not met, so as to realize energy conservation and consumption reduction, and ensure stable operation of an air conditioning system.

Inventors

LUO XIAO
ZHOU ZHENG
YANG PEISHENG
HUANG JUN
Nie Zhu

Assignees

湖北中烟工业有限责任公司

Dates

Publication Date: 20260508
Application Date: 20260121

Claims (10)

1. A regulation and control method of a cigarette factory process air conditioner is characterized by comprising the following steps: Acquiring simulated boundary condition data of a controlled area, and solving a basic control equation by combining a pre-constructed physical model and a fluid characteristic model matched with the controlled area to obtain environmental field distribution data of the controlled area; Carrying out airflow organization simulation according to the simulated boundary condition data and the environment field distribution data to obtain current simulation results of all preset points in the controlled area and related simulation results respectively matched with a plurality of groups of air supply combination parameters; Collecting actual measurement data of each preset point in the controlled area, comparing the actual measurement data with the current simulation results of the corresponding point, and returning to execute the operation of collecting the simulation boundary condition data of the controlled area when the first deviation condition is met; when the first deviation condition is not met, comparing the current simulation result with a preset temperature and humidity standard, and when the second deviation condition is met, adjusting the current air supply combination parameters according to the comparison result of the current simulation result and the preset temperature and humidity standard and the related simulation results respectively matched with the multiple groups of air supply combination parameters, and returning to execute the operation of collecting the simulation boundary condition data of the controlled area; And when the second deviation condition is not met, generating a regulation and control scheme of the air conditioner of the cigarette factory process based on the current air supply combination parameter.
2. The method of claim 1, further comprising, prior to collecting simulated boundary condition data for the controlled area: Acquiring space dimension data of a controlled area, enclosure structure data of the controlled area, equipment layout data in the controlled area, material storage data and heat and moisture emission data in the controlled area, and constructing a three-dimensional physical model matched with the controlled area based on the acquired data; and carrying out grid discrete division on the basis of the three-dimensional physical model to form a grid model as a pre-constructed physical model matched with the controlled area.
3. The method of claim 1, wherein collecting simulated boundary condition data for the controlled area comprises: Respectively carrying out actual measurement for a plurality of times on the preset points of the air supply opening in the controlled area, the preset points of the surface of the production equipment, and the preset points of the wall and the ground which are uniformly distributed to obtain a plurality of initial data of the temperature of the air supply opening, the temperature of the surface of the equipment and the temperature of the surface of the wall and the ground; And respectively calculating statistical values corresponding to all preset points according to the original data to be used as simulated boundary condition data.
4. The method of claim 1, wherein the fluid property model comprises a turbulence model, a wall function, and a component transport model; Correspondingly, the basic control equation is solved by combining a pre-constructed physical model matched with the controlled area and a fluid characteristic model, so as to obtain environmental field distribution data of the controlled area, which comprises the following steps: based on a pre-constructed physical model matched with a controlled area, a fluid characteristic model and simulated boundary condition data, quantifying turbulent pulsation influence of airflow in the controlled area through the turbulent model, and generating turbulent viscosity parameters; presetting boundary action rules of fluid, a wall and the surface of equipment through the wall function, and generating flow velocity and temperature gradient parameters at the wall; splitting the mass conservation relation of the mixed fluid through the component transportation model to generate component transportation parameters; Based on the turbulence viscosity parameter, the wall boundary parameter and the component transmission parameter, the mass equation, the momentum equation and the energy equation after the adaptation and the correction are solved in a combined mode by combining the space form data and the simulation boundary condition data of the physical model, so that flow field distribution data, temperature field distribution data, humidity field distribution data and speed field distribution data of the whole domain of the controlled area are obtained and serve as environment field distribution data.
5. The method of claim 1, wherein performing airflow organization simulation based on simulated boundary condition data and environmental field distribution data to obtain current simulation results for each preset point location in the controlled area and related simulation results respectively matched with multiple sets of air supply combination parameters, comprises: Carrying out airflow organization simulation according to the simulated boundary condition data and the environmental field distribution data, and obtaining the current simulated airflow flowing state, the current simulated temperature and humidity value and the current simulated pressure value of each preset point in the controlled area as the current simulation result; Sequentially adjusting air supply parameters by fixing the heights of the air supply and return inlets, and constructing a plurality of groups of differentiated air supply and return combination parameters in a mode of sequentially adjusting the mounting heights of the air supply and return inlets by fixing the air supply and return parameters; And respectively carrying out airflow organization simulation on each group of air supply combination parameters, and collecting the related simulated airflow flowing state, the related simulated temperature and humidity value and the related simulated pressure value corresponding to each preset point position as the related simulation result matched with the group of air supply combination parameters.
6. The method of claim 2, wherein generating a conditioning plan for a cigarette factory process air conditioner based on current supply air combining parameters comprises: Based on the current air supply combination parameters, combining the current simulation result, the related simulation result and the process tasks of all the subareas in the controlled area, dividing the controlled area into at least one temperature and humidity regulation subareas, respectively determining the temperature and humidity protection priority of each subarea, and generating a matched layered cascade regulation scheme; Determining installation configuration information of each preset point location based on the collected controlled area equipment layout data, the heat and humidity emission data, the current simulation result and the related simulation result, and generating a matched measurement point optimization arrangement scheme based on the installation configuration information; based on the layered step regulation scheme, the measuring point optimal arrangement scheme and the current air supply combination parameters, the air conditioning regulation scheme of the cigarette factory process is generated.
7. The method of claim 6, further comprising, prior to generating the cigarette factory process air conditioning control scheme based on the layered step control scheme, the station optimization arrangement scheme, and the current supply air combination parameters: Based on the heat and humidity emission data, combining historical environmental temperature and humidity data, constructing a heat and humidity load model of a controlled area related to seasons and climates, and determining a matched fresh air quantity operation strategy according to the heat and humidity load model and the current seasons; According to the temperature and humidity requirements of each temperature and humidity regulation zone in the layered cascade regulation scheme, generating a variable frequency regulation scheme matched with equipment components of an air conditioning system of each temperature and humidity regulation zone; Correspondingly, generating the air conditioning regulation scheme of the cigarette factory process based on the layered step regulation scheme, the measuring point optimal arrangement scheme and the current air supply combination parameter comprises the following steps: Based on the layered step regulation scheme, the measuring point optimal arrangement scheme, the fresh air quantity changing operation strategy, the variable frequency regulation scheme and the current air supply combination parameters, the air conditioning regulation scheme of the cigarette factory process is generated.
8. An electronic device, the electronic device comprising: And a memory communicatively coupled to the at least one processor, wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of regulating the air conditioner of the cigarette factory process of any one of claims 1-7.
9. A computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions for causing a processor to execute a method for controlling an air conditioner for a cigarette factory process according to any one of claims 1 to 7.
10. A computer program product, characterized in that it comprises a computer program which, when executed by a processor, implements a method of regulating the conditioning of a cigarette factory process according to any one of claims 1-7.

Description

Modeling analysis method for air flow field of air conditioner in cigarette factory process Technical Field The invention relates to the technical field of cigarette production automation and air conditioner control, in particular to a modeling analysis method for an air flow field of an air conditioner in a cigarette factory process. Background The porous medium material used in cigarette production is extremely sensitive to air temperature and humidity, the environmental temperature and humidity directly influence the water content of the material, and the water content determines indexes such as cigarette weight, suction resistance, hardness and the like. In the cigarette processing process, the environmental temperature and humidity are maintained within a specified range, and the air flow distribution stability is maintained, so that the method is a key measure for guaranteeing the cigarette quality. At present, the environment regulation and control of a cigarette factory is realized by a central air conditioning system and a temperature and humidity sensor, the sensor monitors temperature and humidity data of a controlled area in real time, and the system automatically adjusts the running state of an air conditioner by combining a preset algorithm. However, the prior art has a plurality of defects in practical application, and an ideal regulation effect is difficult to realize. On one hand, the air conditioning system of the factory building is easy to cause larger deviation between actual temperature and humidity distribution and design state due to factors such as untimely maintenance, climate change, fluctuation of equipment running state and the like, the layout of equipment of the production workshop is complex, different process tasks and stored materials in different areas are different, the temperature and humidity standards are different, the problems of uneven indoor cold and heat, strong local blowing sense, vortex dead zone and the like are easy to occur, and the stability of the temperature and humidity in the areas is reduced. On the other hand, the regulation and control effect of the central air conditioning system is limited by various factors, so that the air conditioner cannot guarantee the stable temperature and humidity of a production area, energy conservation and consumption reduction are difficult to realize, and the reliability of air conditioner regulation and control is reduced. Disclosure of Invention The invention provides a modeling analysis method for an air-conditioning airflow flow field of a cigarette factory process, which aims to solve the problems that the deviation between the actual temperature and humidity distribution of a controlled area and a design state after air conditioning regulation is large, the stability of the temperature and humidity of the controlled area is low, energy conservation and consumption reduction are difficult to realize, and the reliability of air conditioning regulation is low. According to an aspect of the embodiment of the invention, there is provided a method for regulating and controlling an air conditioner in a cigarette factory process, comprising: Acquiring simulated boundary condition data of a controlled area, and solving a basic control equation by combining a pre-constructed physical model and a fluid characteristic model matched with the controlled area to obtain environmental field distribution data of the controlled area; Carrying out airflow organization simulation according to the simulated boundary condition data and the environment field distribution data to obtain current simulation results of all preset points in the controlled area and related simulation results respectively matched with a plurality of groups of air supply combination parameters; Collecting actual measurement data of each preset point in the controlled area, comparing the actual measurement data with the current simulation results of the corresponding point, and returning to execute the operation of collecting the simulation boundary condition data of the controlled area when the first deviation condition is met; when the first deviation condition is not met, comparing the current simulation result with a preset temperature and humidity standard, and when the second deviation condition is met, adjusting the current air supply combination parameters according to the comparison result of the current simulation result and the preset temperature and humidity standard and the related simulation results respectively matched with the multiple groups of air supply combination parameters, and returning to execute the operation of collecting the simulation boundary condition data of the controlled area; And when the second deviation condition is not met, generating a regulation and control scheme of the air conditioner of the cigarette factory process based on the current air supply combination parameter. According to another aspect of the embodiment of th