A method for determining an air conditioning control mode according to flight information

Abstract

The application provides a method for determining air conditioning regulation mode according to flight information, comprising the following steps: S101, dividing a terminal building into several air conditioning regulation zones; S102, matching each air conditioning regulation zone with flight information, passenger flow line and time to calculate expected passenger number of each air conditioning regulation zone in each time period; S103, dividing the expected passenger number into several passenger number intervals corresponding to several control gear information; S104, setting each air conditioning regulation zone to operate according to the fresh air valve opening degree setting value and return air temperature setting value in the corresponding control gear information according to the expected passenger number of each zone after calculation; and S105, detecting air quality parameters of the air supply site during operation to correct the fresh air valve opening degree. The application can more accurately adjust air conditioning operation condition according to flight information and passenger flow to improve air conditioning comfort and reduce air conditioning energy consumption of the terminal building.

Description

Technical Field

[0001] This application relates to the technical fields of air conditioning control, flight information integration, and building automation, specifically to a method for determining the air conditioning control mode based on flight information. Background Technology

[0002] An investigation revealed that airport terminal air conditioners operate year-round, and the energy consumption of multiple airport air conditioning systems accounts for approximately 45% of the total energy consumption of the terminal, making them major energy consumers at airports.

[0003] Flight information-linked air conditioning control is a frequently discussed topic in energy conservation. Existing control technologies, such as "Airport Energy-Saving Air Conditioning Control System Based on Flight Linkage and Zonal Control" (patent number CN 208419107 U), disclose a method for controlling the operation of air conditioning units through flight information, and "Airport Energy-Saving Air Conditioning Control System Based on Flight Linkage and Zonal Control" (patent number CN 109883005 A), disclose a method for dynamic zonal control of terminal air conditioning equipment in airport buildings through flight information and human intervention.

[0004] However, existing technologies only focus on linking air conditioning control with passenger flow detection data. Passenger flow data is real-time data, while the process from the output of air conditioning control to the completion of adjustment is a minute-level process (the adjustment completion time is based on the temperature difference ratio, which can be as fast as 10 minutes or as slow as half an hour). By the time the air conditioning operation mode is adjusted after the passenger flow data is obtained, there is already a time lag. At the same time, existing technologies only solve the method of linking flight information to turn the air conditioner on or off, without providing fine-grained control over the impact of passenger numbers on air conditioning control. Summary of the Invention

[0005] The present invention provides a method for determining the air conditioning control mode based on flight information, so as to achieve intelligent control of the air conditioning.

[0006] This invention provides a method for determining air conditioning control mode based on flight information, comprising the following steps:

[0007] S101 divides the terminal building into several air conditioning control zones according to the air supply service area of ​​the all-air conditioning system, so that the air supply service area of ​​each all-air conditioning system corresponds to an air conditioning control zone.

[0008] S102 matches each air conditioning control zone with flight information, passenger flow, and time to calculate the number of passengers in that zone during that time period.

[0009] S103 divides the expected number of passengers into several passenger number ranges, corresponding to several air conditioning adjustment control settings. Each control setting includes at least the fresh air valve opening setting value and the return air temperature setting value.

[0010] S104 operates according to the expected number of passengers in each zone after calculation, and the corresponding air conditioning control zone operates according to the fresh air valve opening setting value and return air temperature setting value in the corresponding control gear information.

[0011] S105 detects the air quality data of the air conditioning control zone during operation. When the air quality data exceeds the standard, it increases the fresh air valve opening setting value until the air quality data meets the set requirements, and then adjusts the fresh air valve opening setting value to the setting requirements of the current level.

[0012] Furthermore, the S101 division of the terminal air conditioning control zones includes: dividing the air supply service area of ​​each all-air conditioning system in the terminal into an air conditioning control zone; when the same AHU serves two or more different building functional areas, and the above functional areas are separated by building walls, and the air supply areas are not connected or the air circulation is obstructed, the functional area with a larger proportion of air supply volume of the all-air conditioning system is divided into an independent control zone, and the other zones are not included in the flight linkage control strategy.

[0013] Furthermore, the flight information includes at least: flight number, boarding bridge number, arrival / departure information, flight status, and number of passengers. When the number of passengers cannot be obtained from the flight information system, the aircraft type of the flight is collected, and the number of passengers based on experience with that aircraft type is estimated. The arrival / departure information includes at least the estimated departure / arrival time and the actual departure / arrival time.

[0014] Furthermore, the expected passenger number calculation scheme also includes: analyzing passenger flow within each flight cycle, and associating boarding gates with each air conditioning control zone based on the superposition of the effects of multiple flight cycles in the same time period; the flight information includes at least one or more of the following: flight number, expected departure / arrival time, boarding bridge or remote gate departure / arrival gate number, and number of passengers.

[0015] Furthermore, the expected number of passengers in each air-conditioned control zone is calculated based on the proportion of passengers in each air-conditioned control zone along the passenger flow path at each time period; the specific conversion formula is as follows:

[0016] Z=∑(Yi*Xi%)——i=1,2…

[0017] Where Z represents the number of passengers per hour in a certain air-conditioning control zone during a certain period, Yi (i = 1, 2, ..., n) represents the number of passengers on each flight (dynamic data), and Xi% (i = 1, 2, ..., n) represents the percentage of passengers per hour on each flight within the air-conditioning control zone during its current flight cycle.

[0018] Furthermore, the method for corresponding fresh air valve opening settings and supply air temperature settings to different passenger number ranges also includes:

[0019] Based on indoor and outdoor parameters, the hourly cooling load of each area is calculated, and the calculation includes at least one of heat gain calculation and moisture loss calculation.

[0020] Furthermore, the heat gain calculation includes at least the following: 1. Heat transferred through the building envelope; 2. Solar radiation heat entering through the transparent building envelope; 3. Heat dissipation from the human body; 4. Heat dissipation from lighting; 5. Heat dissipation from equipment, appliances, pipes and other internal heat sources; 6. Heat dissipation from food or materials; 7. Heat carried in by infiltrating air; 8. Latent heat generated during various moisture dissipation processes; and 9. At least one of the following: fresh air cooling load.

[0021] Furthermore, the moisture dissipation calculation includes at least: 1. Moisture dissipation from the human body; 2. Moisture brought in by infiltrating air; 3. Moisture dissipation from chemical reaction processes; 4. Moisture dissipation from various damp surfaces, liquid surfaces, or liquid flows in non-enclosing structures; 5. Moisture dissipation from food or gaseous materials; 6. Moisture dissipation from equipment; 7. Moisture dissipation from the enclosing structure.

[0022] Furthermore, based on the hourly cooling load value combined with the enthalpy-humidity chart, the air supply volume (CMH) of the AHU air conditioner is calculated. Based on the standard fresh air volume per person per unit area (m³ / h·p, determined by room function, with a per capita fresh air volume of 20-30 m³ / h·p), the calculated air supply volume per unit area (CMH / m²) (AHU air volume value ÷ area of ​​the zone), and the AHU equipment parameters (air conditioner air volume CMH, air conditioner cooling capacity KW), the number of passengers that the AHU can handle per hour per 10,000 air supply volumes during AHU operation at industrial frequency is calculated (number of passengers in the zone ÷ AHU air volume value). The fresh air volume (CMH) of each zone at each setting (number of passengers in the zone × per capita fresh air volume), the fresh air valve opening setting percentage, the air supply volume and fan operating frequency (air conditioner air volume × load rate under graded conditions, with a minimum frequency setting of 30 Hz), the requirements of the on-site temperature setpoint, and the air conditioning classification for each operating condition are also determined.

[0023] Air conditioning supply air volume calculation formula: G (kg / s) -- supply air volume, Q (W) -- indoor cooling load, W (kg / s) -- residual moisture, i n (kJ / kg) -- Indoor point enthalpy value, i o (kJ / kg) -- Enthalpy value at the air supply point, d n (kJ / kg) -- Indoor point moisture content, d o (kJ / kg) -- Moisture content at the air supply point, calculated using the following formula:

[0024]

[0025] Furthermore, in S105, the air quality data includes at least the concentrations of carbon dioxide and TVOC pollutants.

[0026] Furthermore, the method for calculating the gear position information includes:

[0027] Furthermore, the air quality standards for green buildings described in S105 include at least the concentrations of carbon dioxide and TVOC pollutants.

[0028] Compared with existing technologies, this invention solves the problem of the correlation between passenger flow and actual air conditioning operation, realizes the correlation control between passenger numbers and air conditioning regulation, and can more accurately adjust the air conditioning operation based on flight information and passenger flow, thereby improving air conditioning comfort and reducing the air conditioning energy consumption of the terminal. Attached Figure Description

[0029] Figure 1 This is a flowchart of the method for determining the air conditioning control mode based on flight information in an embodiment of the present invention;

[0030] Figure 2 This is an embodiment of an air conditioning zoning method according to the present invention; Detailed Implementation

[0031] To enable those skilled in the art to better understand the implementation methods and advantages of this technical method, and to understand how to use the method of this application, embodiments of this application will be specifically described below in conjunction with the accompanying drawings. However, it should be emphasized that this application is not limited to the embodiments described herein. Other embodiments obtained by those skilled in the art based on this method without inventive effort are all within the protection scope of this patent application.

[0032] In this embodiment, the method for determining the air conditioning control mode based on flight information is as follows: Figure 1 As shown, it includes the following steps:

[0033] Step 1: Divide the air supply service area of ​​each all-air conditioning system (hereinafter referred to as "AHU") in the terminal into an air conditioning control zone.

[0034] In situations where a single Air Hull (AHU) serves two or more different building functional areas, and these areas are separated by building walls with unconnected air supply zones, the functional area with the higher AHU air supply volume will be designated as an independent control zone. The remaining zones will not be included in the flight linkage control strategy. The AHU service zone specifically refers to the air conditioning supply service area. In practice, the system or staff can number the different zones and name their functions within the passenger flow, such as... Figure 2 It can be divided into international arrivals area, international departures area, international and domestic mixed flow area, passenger hall, etc.

[0035] Step 2: Calculate the number of passengers in each zone for different time periods based on flight information. Number each zone and match it with flight information (such as flight number, boarding bridge number, arrival / departure information (estimated departure / arrival time, actual departure / arrival time), flight status, number of passengers, etc.), passenger flow, and time. Analyze passenger flow, calculate the percentage of influence of flight information on each zone, and convert this into the number of passengers in a specific zone for that time period. The influence is expressed as a percentage, a fixed value, or other methods. Calculate the passenger flow corresponding to different flights and the converted passenger numbers for each zone in each time period.

[0036] When flight passenger data from the flight information system is unavailable, the aircraft type of the flight is collected, and the passenger count is calculated using historical passenger data. This historical passenger count is estimated based on past flight data for that aircraft type in this terminal. Based on the passenger numbers calculated for each zone at different times, each zone is divided into several tiers according to its status at different times. Different tiers correspond to different control modes for the subsequent AHU (Air Conditioning Unit). For example, in this embodiment of the invention, the expected passenger number for each air conditioning control zone at each time period can be calculated based on the proportion of passengers in each air conditioning control zone along the passenger flow path at each time period. The specific calculation formula is as follows:

[0037] Z=∑(Yi*Xi%)——i=1,2…

[0038] Where Z represents the number of passengers per hour in a certain air-conditioning control zone during a certain period, Yi (i = 1, 2, ..., n) represents the number of passengers on each flight (dynamic data), and Xi% (i = 1, 2, ..., n) represents the percentage of passengers per hour on each flight within the air-conditioning control zone during its current flight cycle.

[0039] Step 3: Calculate the air volume (CMH) of the AHU air conditioner based on the hourly cooling load value and enthalpy-humidity chart, and calculate the fresh air volume per person per unit area (m²). 3 / h·p (determined by room function, with an average fresh air volume of 20-30m³ / h·p) 3 Calculated air supply volume required per unit area (CMH / m²) 2 (AHU air volume value ÷ area of ​​the zone), AHU equipment parameters (air conditioner air volume CMH, air conditioner cooling capacity KW), calculate the number of passengers that the AHU can handle per hour per 10,000 air volume when running at the power frequency (number of passengers in the zone ÷ AHU air volume value), fresh air volume CMH (number of passengers in the zone × fresh air volume per person) and fresh air valve opening level % for each zone at each level, air conditioning air volume and fan operating frequency (air conditioner air volume × load rate under the graded state, frequency setting minimum is 30 Hz), on-site temperature setpoint requirements, and air conditioning classification for each operating condition.

[0040] The calculation parameters and formulas for air conditioning supply air volume are as follows: G (kg / s) -- supply air volume, Q (W) -- indoor cooling load, W (kg / s) -- residual moisture, i n (kJ / kg) -- Indoor point enthalpy value, i o (kJ / kg) -- Enthalpy value at the air supply point, d n (kJ / kg) -- Indoor point moisture content, d o (kJ / kg) -- Moisture content at the air supply point, calculated using the following formula:

[0041]

[0042] If the air volume G exceeds the maximum air volume, then the current G is set to the maximum air volume of the AHU.

[0043] Step 4: Set the AHU operating conditions for each service zone. AHU operating conditions include: fresh air valve opening, fan operating frequency, and on-site return air set temperature. The fresh air valve opening is related to the on-site fresh air volume requirement, the fan operating frequency is related to the air conditioning supply volume, and the on-site return air set temperature is related to the on-site temperature requirement. AHU valve control cannot be solely based on flight information; it also needs to be coordinated with seasonal conditions and green building requirements for CO2 and pollutant concentration control.

[0044] This embodiment also discloses a control strategy for AHU valves to be linked with flight information during transitional seasons: It should be noted that the outdoor enthalpy value is calculated based on outdoor temperature and humidity, while the indoor enthalpy value is calculated based on return air temperature and humidity. During transitional seasons (spring and autumn), when the outdoor enthalpy value is lower than the indoor enthalpy value, the fresh air valve is opened to its maximum design value, and the return air valve is closed to its minimum design value.

[0045] Normal mode: When the outdoor enthalpy is higher than the indoor enthalpy, the return air valve is set to fully open based on step 4, and the fresh air valve is adjusted to the fresh air volume required for flight linkage; at the same time, the CO2 concentration and pollutant concentration are detected. When both the CO2 concentration and the pollutant concentration are less than the allowable value, the fresh air valve is controlled according to the fresh air volume in step 4. When either the CO2 concentration or the pollutant concentration is greater than the allowable value, the opening of the fresh air valve is increased until both the CO2 concentration and the pollutant concentration are reduced to less than the allowable value, and the system runs for a period of time before returning to the fresh air volume in step 4.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application and not to limit it. Although this application has been described in detail with reference to the above embodiments, those skilled in the art should understand that after reading the specification of this application, they can still modify or make equivalent substitutions to the specific implementation of this application, but these modifications or changes do not depart from the protection scope of the pending claims of this application.

Claims

1. A method of determining an air conditioning control mode based on flight information, characterized by, The method comprises the following steps: S101: dividing the terminal building into several air conditioning control zones according to the air supply service area of the all-air air conditioning system, so that the air supply service area of each all-air air conditioning system corresponds to one air conditioning control zone; S101: dividing the terminal building into several air conditioning control zones according to the air supply service area of the all-air air conditioning system, so that the air supply service area of each all-air air conditioning system corresponds to one air conditioning control zone; S102: matching each air conditioning control zone with flight information, passenger flow lines and time to calculate the expected number of passengers in the zone at the time; S103: dividing the expected number of passengers into several passenger number intervals, corresponding to several air conditioning control information, each control information at least including fresh air valve opening degree set value and return air temperature set value; S104: according to the expected number of passengers in each zone after calculation, each air conditioning control zone operates according to the fresh air valve opening degree set value and return air temperature set value in the corresponding control information; S105: detecting the air quality data of the air conditioning control zone during operation, and increasing the fresh air valve opening degree set value when the air quality data exceeds the standard, and adjusting the fresh air valve opening degree set value to the set requirement of the current position when the air quality data meets the set requirement; Wherein, the expected number of passengers is calculated by: ， Wherein, Z is the passenger conversion number per hour in a certain air conditioning control zone in a certain period, Yi is the number of passengers of each flight, and Xi% is the passenger conversion ratio per hour in the air conditioning control zone in the current flight cycle of each flight.

2. The method of claim 1, wherein, The flight information at least includes: flight number, boarding bridge number, arrival and departure information, flight status, flight passenger number; when the flight passenger number data in the flight information cannot be obtained, the flight model is collected, and the experienced passenger number on the model is estimated; the arrival and departure information at least includes the expected take-off / arrival time, the actual take-off / arrival time.

3. The method of claim 1, wherein, Further comprising calculating the air supply volume according to the hourly cooling load value and the enthalpy-humidity diagram, and calculating the fresh air volume, air supply volume and temperature set value of each zone at different positions according to the per unit area per capita fresh air volume standard and AHU equipment parameters; the hourly cooling load calculation includes heat gain calculation and moisture emission calculation, wherein the heat gain calculation includes at least one of heat transfer into the building envelope, solar radiation heat, human body heat, lighting heat, equipment heat, food or material heat, heat carried by permeable air, latent heat and fresh air cooling load.

4. The method of claim 3, wherein, The air supply volume calculation formula is: ， wherein G is the supply air volume, Q is the indoor cooling load, and W is the residual moisture content, is the indoor point enthalpy, is the supply air point enthalpy, is the indoor point moisture content, is the supply air point moisture content.

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