An automated tent entryway space adjustment system

Abstract

The application discloses a tent entrance space automatic adjusting system, which comprises an entrance space adjusting system and an electric retractable door, a control module of the entrance space adjusting system is connected with the electric retractable door, the electric retractable door is additionally arranged at a tent exit to form a transition space, the entrance space adjusting system comprises a tent environment information module, an indoor performance evaluation module, a data output processing module and a result control module, an output end of the tent environment information module is connected with an input end of the indoor performance evaluation module, and an output end of the indoor performance evaluation module is connected with an input end of the data output processing module. The application has the beneficial effects that the visual programming platform is used to measure and calculate the heat, light and wind environment indexes in the tent, the multi-target optimization algorithm is used to improve the heat, light and wind environment, the indoor environment quality of the tent is fully considered, the physical and mental health and work efficiency of the user are improved, and the energy consumption of the later heating and lighting is reduced.

Description

An automated adjustment system for tent entrance space Technical Field

[0001] This invention relates to the field of tent technology, specifically to an automated adjustment system for tent entrance space. Background Technology

[0002] The biggest advantage of tents compared to other types of buildings is their ease of transportation and quick, simple installation. Tents can provide temporary shelter for people in a short period of time. With the development of society, economy, and technology, people's living standards are gradually improving. In addition to demands for energy-efficient buildings, the demand for high-quality indoor environments is also increasing. The low thermal resistance and minimal thermal inertia of tent enclosures make their indoor thermal environment susceptible to the influence of the outdoor environment. In cold winters, the dark and harsh indoor environment inside tents can seriously affect the physical and mental health and work efficiency of users.

[0003] Currently, the common method for improving the internal environment of outdoor tents in winter is "makeshift modification," which involves adding an outer enclosure to increase the thermal resistance of the enclosure in the simplest way, thus reducing heat loss from the inside of the tent. However, this method blocks solar radiation, reducing the amount of radiation inside, and also worsens the internal lighting environment, increasing energy consumption for heating and lighting later on. Therefore, this method has limited ability to improve the internal environment. Existing technologies mostly consider improving the internal environment of conventional residential buildings, and for tents, they mainly focus on adjusting the shape and maintenance materials, without comprehensively considering the indoor thermal, lighting, and wind environments. Summary of the Invention

[0004] The purpose of this invention is to provide an automated adjustment system for the entrance space of a tent, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an automated adjustment system for tent entrance space, comprising an entrance space adjustment system and an electric retractable porch, wherein the control module of the entrance space adjustment system is connected to the electric retractable porch, and the electric retractable porch is added at the tent exit to form a transition space; the entrance space adjustment system comprises a tent environment information module, an indoor performance evaluation module, a data output processing module, and a result control module; the output end of the tent environment information module is connected to the input end of the indoor performance evaluation module, the output end of the indoor performance evaluation module is connected to the input end of the data output processing module, the output end of the data output processing module is connected to the input end of the result control module, and the result control module is connected to the electric retractable porch;

[0006] The tent environment information module is used to receive tent environment information;

[0007] The indoor performance evaluation module is used to evaluate the performance of the entrance space adjustment system based on the input tent-related information parameters;

[0008] The data output processing module is used to analyze and process the results of the indoor performance evaluation module to obtain the final electric retractable vestibule control strategy.

[0009] The result control module is used to control the morphological parameters of the electric telescopic porch.

[0010] Preferably, the tent environment information module includes a regional climate module and a personnel thermal disturbance setting module;

[0011] The regional climate module is used to collect relevant information such as regional temperature, light intensity, or wind speed.

[0012] The personnel thermal disturbance setting module is used to set the corresponding temperature to reduce the interference of internal and external heat sources on the temperature inside the tent.

[0013] Preferably, the morphological parameters of the electric telescopic vestibule include the vestibule depth, vestibule length and width, vestibule top angle, or the distance between the double-layer enclosure structures.

[0014] Preferably, the tent environment information includes information about the tent itself and information about the external environment;

[0015] The information about the tent itself includes the tent's length, width, shoulder height, top height, orientation, window, wall, door, enclosure structure, vestibule depth, vestibule top angle, vestibule length and width, and the distance between the double-layer enclosure structure;

[0016] The external environmental information includes climate information at the base location, number of personnel, activity status, work schedule, and clothing.

[0017] Preferably, the tent environment information module has a memory function, which can use the original recommended values ​​or reset the parameters.

[0018] Preferably, the indoor performance evaluation module includes a thermal environment performance evaluation module, a light environment performance evaluation module, and a wind environment performance evaluation module;

[0019] The thermal environment performance evaluation module combines the input tent environment information and uses Energyplus, a visual programming platform based on Grasshopper in Rhino, for dynamic analysis. By controlling the variable method, different morphological parameters of the electric telescopic canopy are changed, and the thermal comfort index PMV is calculated for six simulated measurement points inside the tent from December to February.

[0020] The light environment performance evaluation module combines the input tent environment information and uses HoneybeeRadiance, based on the Grasshopper visual programming platform in Rhino, for dynamic analysis. By controlling the variable method, different morphological parameters of the electric telescopic canopy are changed, and the percentage of total natural daylight (DA) is calculated for six simulated measurement points inside the tent from December to February.

[0021] The wind environment performance evaluation module combines the input tent environment information and uses Eddy3D, a visual programming platform based on Grasshopper in Rhino, for dynamic analysis. By controlling the variable method, different morphological parameters of the electric telescopic porch are changed, and the wind tunnel environment is set up with the average wind speed and wind direction in the stationed area from December to February to calculate the wind pressure difference.

[0022] Preferably, the data output processing module analyzes the results of the thermal environment performance evaluation module, the light environment performance evaluation module, and the wind environment performance evaluation module respectively. For each type of environmental quality, an objective function for finding the extreme value is established. The three objective functions and the morphological coefficients of the electric retractable porch changes in the early stage are iteratively analyzed through a multi-objective optimization algorithm to finally obtain the threshold of the entrance space parameter that can improve the indoor environment, and thus obtain the final electric retractable porch control strategy.

[0023] Preferably, the regression formula for the PMV index experiment is as follows:

[0024] PMV=[0.303exp(-0.036M)+0.0275]

[0025] *{MW-3.05*[5.733-0.007*(MW)-P a ]

[0026] -0.42*(MW-58.2)-0.017*M*(5.867-P a )

[0027] -0.0014*M*(34-t a -3.96*10*f cl *[(t cl +273)-

[0028] (+273)]-f cl hc(t cl -t a )}

[0029] The values ​​in the formula represent the following:

[0030] M is the human body's energy metabolism rate, in W / m²; W is the mechanical power exerted by the human body, in W / m²; Pa is the vapor pressure of the air surrounding the human body, in Pa; ta is the air temperature surrounding the human body, in °C; tr is the mean radiant temperature, in °C; fcl is the ratio of the area covered by clothing to the area exposed; tcl is the outer surface temperature of clothing, in °C; hc is the surface heat transfer coefficient, in W / (m²). 2 ·K).

[0031] Preferably, the result control module includes an automatic control module and a manual control module;

[0032] The automatic control module can automatically adjust according to the control strategy at night.

[0033] The manual control module is used to control the retractable doorway space to meet human needs during specific time periods.

[0034] Compared with the prior art, the beneficial effects of the present invention are: by using a visual programming platform to calculate certain indicators of the thermal, light and wind environment inside the tent, and by using a multi-objective optimization algorithm to improve the thermal, light and wind environment, the present invention fully considers the quality of the indoor environment of the tent, improves the physical and mental health and work efficiency of users, and reduces the energy consumption of heating and lighting in the later stage. Attached Figure Description

[0035] Figure 1 is a flowchart of the performance evaluation module of the tent entrance space adjustment system that takes into account the comfort of heat, light and wind in this invention;

[0036] Figure 2 is a flowchart of the tent entrance space adjustment system of the present invention that takes into account the comfort of heat, light and wind.

[0037] Figure 3 is a general diagram of the module relationship of the tent entrance space adjustment system of the present invention, which takes into account the comfort of heat, light and wind.

[0038] In the diagram: 1 represents the tent environmental information module; 2 represents the indoor performance evaluation module; 3 represents the data output processing module; and 4 represents the result control module.

[0039] ① Tent parameter information module; ② Regional climate module; ③ Personnel thermal disturbance setting module; ④ Thermal environment performance evaluation module; ⑤ Light environment performance evaluation module; ⑥ Wind environment performance evaluation module; ⑦ Automatic control module; ⑧ Manual control module. Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] Please refer to Figures 1-3. This invention provides a technical solution: an automated adjustment system for tent entrance space, including an entrance space adjustment system and an electric retractable porch. The control module of the entrance space adjustment system is connected to the electric retractable porch. The electric retractable porch is added at the tent exit to form a transition space. The entrance space adjustment system includes a tent environment information module, an indoor performance evaluation module, a data output processing module, and a result control module. The output end of the tent environment information module is connected to the input end of the indoor performance evaluation module. The output end of the indoor performance evaluation module is connected to the input end of the data output processing module. The output end of the data output processing module is connected to the input end of the result control module. The result control module is connected to the electric retractable porch.

[0042] The tent environment information module is used to receive tent environment information;

[0043] The indoor performance evaluation module is used to evaluate the performance of the entrance space adjustment system based on the input tent-related information parameters;

[0044] The data output processing module is used to analyze and process the results of the indoor performance evaluation module to obtain the final electric retractable vestibule control strategy.

[0045] The result control module is used to control the morphological parameters of the electric telescopic porch.

[0046] The tent environment information module includes a regional climate module and a personnel thermal disturbance setting module;

[0047] The regional climate module is used to collect relevant information such as regional temperature, light intensity, or wind speed.

[0048] The personnel thermal disturbance setting module is used to set the corresponding temperature to reduce the interference of internal and external heat sources on the temperature inside the tent.

[0049] The tent environment information module includes a regional climate module and a personnel thermal disturbance setting module. The regional climate module is used to collect regional temperature, light intensity, or wind speed. The personnel thermal disturbance setting module is used to set corresponding temperatures to reduce the interference of internal and external heat sources on the temperature inside the tent. The tent environment information includes: tent length, width, shoulder height, ceiling height, orientation, window, wall, door, and enclosure structure, vestibule depth, vestibule top angle, vestibule length and width, distance between the double-layer enclosure structure, climate information of the campsite, number of personnel inside, activity status, work schedule, and clothing. The tent environment information module has a memory function, allowing the use of previously recommended values ​​or parameter reset.

[0050] The tent environment information module inputs the relevant tent information parameters into the indoor performance evaluation module, which includes thermal environment performance evaluation, light environment performance evaluation, and wind environment performance evaluation modules; specifically:

[0051] The thermal environment performance evaluation module combines the input tent environment information and uses Energyplus, a visual programming platform based on Grasshopper in Rhino, for dynamic analysis. By changing different morphological parameters of the electric telescopic porch using the controlled variable method, the thermal comfort index PMV is calculated for six simulated measurement points inside the tent from December to February.

[0052] The light environment performance evaluation module combines the input tent environment information and uses HoneybeeRadiance, based on the Grasshopper visual programming platform in Rhino, for dynamic analysis. By changing different morphological parameters of the electric telescopic canopy, the module calculates the percentage of total natural daylight (DA) at six simulated measurement points inside the tent from December to February.

[0053] The wind environment performance evaluation module combines the input tent environment information and uses Eddy3D, a visual programming platform based on Grasshopper in Rhino, for dynamic analysis. By controlling the variable method, different morphological parameters of the electric telescopic canopy are changed. The wind tunnel environment is set up by taking the average wind speed and wind direction of the stationed area from December to February, and the wind pressure difference is calculated.

[0054] After performing performance evaluation calculations for the indoor thermal, light, and wind environments of the tent, the data calculated by the indoor performance evaluation index module is input into the data output processing module. The data output processing module analyzes the results of the thermal environment performance evaluation module, the light environment performance evaluation module, and the wind environment performance evaluation module respectively. For each type of environmental quality, an objective function for finding the extreme value is established. The three objective functions and the morphological coefficients of the electric retractable porch changes in the early stage are iteratively analyzed through a multi-objective optimization algorithm. Finally, the threshold parameters of the entrance space that can improve the indoor environment are obtained, and the final electric retractable porch control strategy is derived.

[0055] The thermal environment performance evaluation module in the data output processing module integrates six indoor factors of the building: human activity, clothing, air temperature, air humidity, air velocity, and mean radiant temperature. The regression formula for the PMV index experiment is shown below:

[0056] PMV=[0.303exp(-0.036M)+0.0275]

[0057] *{MW-3.05*[5.733-0.007*(MW)-P a ]

[0058] -0.42*(MW-58.2)-0.017*M*(5.867-P a )

[0059] -0.0014*M*(34-t a -3.96*10*f cl *[(t cl +273)-

[0060] (+273)]-f cl hc(t cl -t a )}

[0061] The values ​​in the formula represent the following:

[0062] M is the human body's energy metabolism rate, in W / m²; W is the mechanical power exerted by the human body, in W / m²; Pa is the vapor pressure of the air surrounding the human body, in Pa; ta is the air temperature surrounding the human body, in °C; tr is the mean radiant temperature, in °C; fcl is the ratio of the area covered by clothing to the area exposed; tcl is the outer surface temperature of clothing, in °C; hc is the surface heat transfer coefficient, in W / (m²). 2The thermal comfort index (PMV) considers the influence of various physiological and psychological factors on thermal comfort perception. It is a relatively comprehensive evaluation index widely used worldwide and included in ISO 7730 and ASHREA standards. The PMV calculation results are divided into 7 levels: +3 is hot, +2 is warm, +1 is slightly warm, 0 is comfortable, -1 is slightly cool, -2 is cool, and -3 is cold.

[0063] Based on the input tent environment information, Energyplus, a visual programming platform based on Grasshopper in Rhino, was used for dynamic analysis. By controlling the variable method, different morphological parameters of the electric telescopic canopy were changed, and the thermal comfort index PMV was calculated for six simulated measurement points inside the tent from December to February. Values ​​of PMV < -2 were defined as severe indoor thermal environments. The proportion of severe indoor thermal environments from December to February was used as objective function 1, and the optimization goal was to minimize objective function 1.

[0064] The light environment performance evaluation module in the data output processing module, based on the GBJ133-907 standard, uses a 0.75m horizontal plane as the reference plane. The standard illuminance value for general office buildings is 300lx, and the standard illuminance value for higher-end offices reaches 500lx. The total natural daylight percentage, or Daylight Autonomy (DA), refers to the percentage of time during which the illumination value of natural light at the selected test location is greater than a specified value. The specified illumination threshold is set to 300lx. The HoneybeeRadiance module, based on the Grasshopper visual programming platform in Rhino, is used for dynamic analysis. By changing different morphological parameters of the electric retractable canopy, the total natural daylight percentage (DA) is calculated for six simulated measurement points inside the tent during the period from December to February. The DA values ​​from December to February are used as objective function 2, and the optimization goal is to obtain the maximum value of objective function 2.

[0065] The wind environment performance evaluation module in the data output processing module considers the wind pressure difference between the windward and leeward sides of a building as the main driving force for indoor ventilation, affecting both indoor ventilation volume and the comfortable ventilation area. According to my country's conventional green building design and evaluation standards, the wind pressure difference in winter should not exceed 5 Pa. Dynamic analysis is performed using Eddy3D, a visual programming platform based on Grasshopper in Rhino. By controlling the variable method, different morphological parameters of the electric retractable vestibule are changed. A wind tunnel environment is set up using the average wind speed and direction in the stationed area from December to February to calculate the wind pressure difference. The wind pressure difference from December to February is used as objective function 3, and the optimization aims to minimize objective function 3.

[0066] The three objective functions generated by the thermal environment performance evaluation module, the light environment performance evaluation module, and the wind environment performance evaluation module, along with the parameters changed by the electric retractable porch, are iteratively analyzed using a multi-objective optimization algorithm in the Grasshopper visual programming platform. Finally, the threshold parameters of the entrance space that can improve the indoor environment are obtained, and the final control strategy for the electric retractable porch for each day from December to February is derived.

[0067] The data output processing module obtains the electric retractable doorway control strategy and inputs it into the result control module to automatically or manually control the electric retractable doorway. The automatic control module can automatically adjust according to the control strategy at night, while the manual control module is used to control the retractable doorway space to meet human needs during specific time periods and can be manually adjusted.

[0068] Working Principle: The tent environmental information is input into the tent environmental information module. This information includes: tent length, width, shoulder height, ceiling height, orientation, window, wall, door, enclosure structure, vestibule depth, vestibule ceiling angle, vestibule length and width, climate information of the campsite, number of personnel inside, activity status, work schedule, and clothing. This information is then input into the indoor performance evaluation module. The included thermal environment performance evaluation module, light environment performance evaluation module, and wind environment performance evaluation module perform performance evaluation and analysis on the tent's interior. Further evaluation is then conducted on the thermal environment performance evaluation module, light environment performance evaluation module, and wind environment performance evaluation module. The performance evaluation module generates three objective functions, along with parameters that change the electric retractable vestibule, including vestibule depth, vestibule top angle, vestibule length and width, and the distance between the double-layer enclosure structures. A multi-objective optimization algorithm is used in the Grasshopper visual programming platform for iterative analysis to obtain the threshold parameters of the entrance space that can improve the indoor environment, resulting in the final daily electric retractable vestibule control strategy from December to February. The data output processing module obtains the electric retractable vestibule door control strategy, which is then input into the result control module for automatic or manual control of the electric retractable vestibule.

[0069] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An automated adjustment system for a tent entrance space, comprising an entrance space adjustment system and an electrically retractable porch, wherein the control module of the entrance space adjustment system is connected to the electrically retractable porch, and the electrically retractable porch is added at the tent exit to form a transition space, characterized in that: The entrance space control system includes a tent environment information module, an indoor performance evaluation module, a data output processing module, and a result control module. The output of the tent environment information module is connected to the input of the indoor performance evaluation module, the output of the indoor performance evaluation module is connected to the input of the data output processing module, the output of the data output processing module is connected to the input of the result control module, and the result control module is connected to the electric retractable porch. The tent environment information module receives tent environment information. The indoor performance evaluation module evaluates the performance of the entrance space control system based on the input tent-related information parameters. The data output processing module analyzes and processes the results from the indoor performance evaluation module to derive the final electric retractable porch control strategy. The result control module is used to implement… The system controls the morphological parameters of the electrically retractable portal; the tent environment information module includes a regional climate module and a personnel thermal disturbance setting module; the regional climate module is used to collect relevant information on regional temperature, light intensity, or wind speed; the personnel thermal disturbance setting module is used to set corresponding temperatures to reduce the interference of internal and external heat sources on the tent's internal temperature; the morphological parameters of the electrically retractable portal include portal depth, portal length and width, portal top angle, or the distance between the double-layer enclosure structure; the tent environment information includes information about the tent itself and external environment information; the tent itself information includes tent length, width, shoulder height, top height, orientation, window, wall, door, enclosure structure, portal depth, portal top angle, portal length and width, and the distance between the double-layer enclosure structure; the external environment information includes climate information of the encampment location, number of personnel inside, activity status, work schedule, and clothing.

2. The automated adjustment system for tent entrance space according to claim 1, characterized in that: The tent environment information module has a memory function, and can use the original recommended values ​​or reset the parameters.

3. The automated adjustment system for tent entrance space according to claim 2, characterized in that: The indoor performance evaluation module includes a thermal environment performance evaluation module, a light environment performance evaluation module, and a wind environment performance evaluation module. The thermal environment performance evaluation module, based on the input tent environment information, uses Energy Plus, a visual programming platform in Rhino's Grasshopper library, for dynamic analysis. By controlling the variable method and changing different morphological parameters of the electrically retractable porch, it calculates the thermal comfort index (PMV) at six simulated measurement points inside the tent for the period from December to February. The light environment performance evaluation module, based on the input tent environment information, uses Honeybee, a visual programming platform in Rhino's Grasshopper library, for... Radiance performs dynamic analysis by changing different morphological parameters of the electric telescopic vent using the controlled variable method. It calculates the percentage of total natural daylight (DA) at six simulated measurement points inside the tent during the period from December to February. The wind environment performance evaluation module, combined with the input tent environment information, uses Eddy3D, a visual programming platform based on Grasshopper in Rhino, for dynamic analysis. By changing different morphological parameters of the electric telescopic vent using the controlled variable method, and setting up a wind tunnel environment with the average wind speed and direction of the stationed area during December to February, it calculates the wind pressure difference.

4. The automated adjustment system for tent entrance space according to claim 3, characterized in that: The data output processing module analyzes the results of the thermal environment performance evaluation module, the light environment performance evaluation module, and the wind environment performance evaluation module respectively. For each type of environmental quality, an objective function is established to find the extreme value. The three objective functions and the morphological coefficients of the electric retractable porch changes in the early stage are iteratively analyzed through a multi-objective optimization algorithm to finally obtain the threshold of the entrance space parameter that can improve the indoor environment, and thus obtain the final electric retractable porch control strategy.

5. The automated adjustment system for tent entrance space according to claim 4, characterized in that: The formula for PMV is as follows: The values ​​in the formula represent the following: M is the human body's energy metabolism rate, in W / m²; W is the mechanical power exerted by the human body, in W / m²; P a Vapor pressure of the air surrounding the human body, unit P a ;t a It is the temperature of the air surrounding the human body, measured in degrees Celsius (°C); t r The average radiant temperature is expressed in °C; f cl The ratio of the area of ​​the human body covered by clothing to the area of ​​the body exposed; t cl , where is the outer surface temperature of the garment, in °C; hc is the surface heat transfer coefficient, in W / (m²·K).

6. The automated adjustment system for tent entrance space according to claim 1, characterized in that: The result control module includes an automatic control module and a manual control module; the automatic control module automatically adjusts according to the control strategy at night; the manual control module is used to control the retractable doorway space to meet human needs during specific time periods.

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