Variable air volume air conditioner control and adjustment method and system based on parameter adjustment

Abstract

The invention discloses a variable-air-volume air conditioner control and adjustment method and system based on parameter adjustment, and relates to the technical field of variable-air-volume air conditioner adjusting.The variable-air-volume air conditioner control and adjustment method comprises the steps that (5) according to comprehensive thermal comfort evaluation coefficients corresponding to all using partitions, fuzzy set types which all using partitions belong to are judged and obtained; and 6, according to the fuzzy set type to which each use belongs, corresponding control operation is conducted on the use subareas and the corresponding direct association subareas and indirect association subareas, energy waste of the air conditioning system can be effectively reduced by dynamically adjusting the temperature and the air volume, and especially in the area with the large personnel number change, the energy consumption of the air conditioning system can be effectively reduced. By considering various factors such as the number of personnel, the activity intensity and the thermal sensing temperature, the system can dynamically adjust operation of the air conditioning system according to actual requirements, more accurate thermal comfort control is provided, the problem of supercooling or superheating is avoided, and the thermal comfort of a user is remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of variable air volume air conditioning regulation, and specifically relates to a variable air volume air conditioning control and regulation method and system based on parameter regulation. Background Technique

[0002] A variable air volume air conditioning system is a central air conditioning system that uniformly supplies air by an air handling unit and the terminal devices are responsible for air volume regulation. The variable air volume terminal calculates the required air volume based on the measured temperature and the set temperature, and then controls the valve opening by comparing with the measured air volume to achieve the purpose of controlling the air volume; as modern buildings rely more and more on air conditioning systems, variable air volume air conditioning systems are widely used in office buildings, commercial buildings and large industrial buildings due to their high efficiency and energy-saving characteristics. The variable air volume air conditioning system maintains the stability of the indoor temperature by adjusting the supply air volume, significantly reducing the waste of air conditioning load in traditional air conditioning systems, thereby improving the energy utilization efficiency.

[0003] However, traditional variable air volume air conditioning systems generally rely on the set temperature to adjust the air volume. In actual applications, the changes in the number of people and activities are not considered in real time. Due to the differences in human activities, as people move and act, the temperature and air volume requirements will change, and the room heat load will fluctuate. Fixed temperature and air volume settings often cannot meet the actual needs; based on this, a variable air volume air conditioning control and regulation method and system based on parameter regulation are proposed. Summary of the Invention

[0004] The purpose of the present invention is to provide a variable air volume air conditioning control and regulation method and system based on parameter regulation, which solves the technical problem that the existing variable air volume air conditioning control system does not consider the changes in the number of people and activities in real time.

[0005] The variable air volume air conditioning control and regulation method based on parameter regulation includes the following steps:

[0006] Step 1: Divide the control area of the variable air volume air conditioning to obtain multiple control zones;

[0007] Step 2: According to the positional relationship of the terminal devices in each control zone of the variable air volume air conditioning in the conveying pipeline network and the control zone network, obtain the directly associated zones and indirectly associated zones respectively corresponding to each control zone;

[0008] Step 3: Determine the used zones and idle zones in each control zone according to the real-time number of people in each control zone;

[0009] Step 4: Through comprehensive analysis of the partition area corresponding to each usage partition, the personal heat sensation area of each person in the area, and the number of moving people in each usage partition within the preset duration T, obtain the comprehensive thermal comfort evaluation coefficient corresponding to each usage partition, where T = 60 seconds;

[0010] Step 5: According to the comprehensive thermal comfort evaluation coefficient Fi corresponding to each usage partition, determine the fuzzy set type to which each usage belongs;

[0011] Step 6: According to the fuzzy set type to which each usage belongs, perform corresponding control operations on the usage partition and its corresponding directly associated partition and indirectly associated partition.

[0012] As a further solution of the present invention: The specific method for obtaining the directly associated partition and indirectly associated partition corresponding to each control partition is:

[0013] Take the control partition corresponding to the end device on the same conveying line as the directly associated partition of the control partition, and mark the adjacent partitions of the control partition in the control partition network as the indirectly associated partitions of the corresponding control partition, so as to obtain the directly associated partition and indirectly associated partition corresponding to each control partition.

[0014] As a further solution of the present invention: The specific method for determining the usage partition and idle partition in each control partition is:

[0015] Obtain the marked real-time number of people corresponding to each control partition. Determine the control partition with a non-zero real-time number of people as the usage partition, and the remaining control partitions with a real-time number of people of 0 are determined as idle partitions.

[0016] As a further solution of the present invention: The specific method for obtaining the comprehensive thermal comfort evaluation coefficient corresponding to each usage partition is:

[0017] Obtain the partition area Si corresponding to each usage partition, the personal heat sensation area corresponding to each person in each usage partition. Take the ratio between the total heat sensation area Gi of the people in each usage partition and the partition area Si as the heat occupancy coefficient Ci corresponding to each usage partition. Take the sum of the personal heat sensation areas corresponding to each person in each usage partition as the total heat sensation area Gi of the people in each usage partition. Obtain the number of moving people Ai in the partition within the preset duration T from each usage partition. Take the ratio between the number of moving people Ai and the real-time number of people Ri as the personnel movement coefficient Di of each usage partition, where i represents different usage partitions;

[0018] The zonal temperatures Qi corresponding to respective usage zones are obtained using an infrared thermometer or a biosensor, as well as the perceived temperatures Hij corresponding to different individuals within each usage zone, and they are analyzed. Furthermore, the membership degrees Eij cold and Eij hot corresponding to different individuals within each usage zone are obtained, and the products of the membership degrees Eij cold and E hot between -1 and +1 are obtained for each, and the products within each usage zone are added together to obtain a sum as the calculation coefficient Ji corresponding to each usage zone. Then, through the formula: Fi = Ji / Ri × Ci × Di, the comprehensive thermal comfort evaluation coefficient Fi corresponding to each usage zone is calculated, where j refers to different individuals within each usage zone, j = 1, 2, ……, bi, bi represents the number of real-time individuals within each usage zone, bi is a positive integer, and bi satisfies bi ≥ 2.

[0019] As a further solution of the present invention: obtaining the membership degrees Eij cold and E hot corresponding to different individuals within each usage zone specifically by:

[0020] Through E cold = ;

[0021] and E hot = .

[0022] As a further solution of the present invention: the specific way to determine the fuzzy set type to which each usage belongs is:

[0023] When the comprehensive thermal comfort evaluation coefficient Fi is less than the preset value Y1, the corresponding usage zone is determined to belong to the cold fuzzy set. When the comprehensive thermal comfort evaluation coefficient F is greater than the preset value Y2, the corresponding usage zone is determined to belong to the hot fuzzy set. When the comprehensive thermal comfort evaluation coefficient Fi is greater than or equal to the preset value Y1 and less than or equal to the preset value Y2, the corresponding usage zone is determined to belong to the moderate fuzzy set, where Y2 = 0.5 and Y1 = -0.5.

[0024] As a further solution of the present invention: the specific way to perform corresponding control operations on the usage zones belonging to the cold fuzzy set and their corresponding direct and indirect associated zones is:

[0025] For the usage zones belonging to the cold fuzzy set, the zonal temperature needs to be raised to the comfortable range;

[0026] Through, Vv new = VBv × (1 - |Fv|), the valve opening degrees Vv corresponding to each usage zone belonging to the cold fuzzy set are calculated, Vv new , and then through Wvnew = WBv + KA×|Fv|, calculate the elevated temperature Wv corresponding to each usage partition belonging to the cold fuzzy set ne , and meanwhile close the air supply valves of the direct associated partitions and indirect associated partitions that do not belong to the usage partitions in each usage partition belonging to the cold fuzzy set, where v is each usage partition obtained belonging to the cold fuzzy set, VBv and WBv are the calibrated valve openings and calibrated zone temperatures of each usage partition belonging to the cold fuzzy set respectively, and KA is a preset adjustment coefficient.

[0027] As a further solution of the present invention: The specific way to perform corresponding control operations on the usage partitions belonging to the hot fuzzy set and their corresponding direct associated partitions and indirect associated partitions is as follows:

[0028] Through, Uu new = ZBu×(1 + |Fu|), calculate the increased valve opening Uu corresponding to each usage partition belonging to the hot fuzzy set new , and then through Lu new = OBu - KB×|Fu|, calculate the decreased set temperature Lu corresponding to each usage partition belonging to the hot fuzzy set new ; meanwhile, if the direct associated partition corresponding to each usage partition belonging to the hot fuzzy set is a usage partition, synchronously increase its air supply volume, and if the direct associated partition is an idle partition, open its valve to 50% opening to assist in cooling, where u is each usage partition obtained belonging to the hot fuzzy set, ZBu and OBu are the calibrated valve openings and calibrated zone temperatures of each usage partition belonging to the hot fuzzy set respectively, and KB is a preset adjustment coefficient.

[0029] As a further solution of the present invention: When the direct associated partition of the control partition is also an indirect associated partition at the same time, it is preferentially marked as a direct associated partition.

[0030] A variable air volume air conditioner control and regulation system based on parameter adjustment. This system implements the variable air volume air conditioner control and regulation method based on parameter adjustment, including:

[0031] A zoning module that zones the variable air volume air conditioner control area to obtain multiple control partitions;

[0032] An associated partition determination module that obtains the direct associated partitions and indirect associated partitions corresponding to each control partition according to the positional relationship of the terminal devices in each control partition of the variable air volume air conditioner in the delivery pipe network and the control partition network;

[0033] A usage partition determination module that determines the usage partitions and idle partitions in each control partition according to the real-time number of people in each control partition;

[0034] The comprehensive thermal comfort evaluation coefficient acquisition module obtains the comprehensive thermal comfort evaluation coefficients corresponding to each usage area through the comprehensive analysis of the area of each usage area, the personal thermal sensation area of each person in the area, and the number of moving people in the preset duration T in each usage area;

[0035] The fuzzy set type determination module determines the fuzzy set types to which each usage belongs according to the comprehensive thermal comfort evaluation coefficients Fi corresponding to each usage area;

[0036] The control module performs corresponding control operations on the usage area and its directly associated area and indirectly associated area according to the fuzzy set types to which each usage belongs.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] (1) In the present invention, by partitioning the air-conditioning control area according to the position of the variable air volume air-conditioning terminal device, each control partition contains only one terminal device, thus realizing precise partition management;

[0039] (2) In the present invention, by dynamically adjusting the temperature and air volume, it is possible to effectively reduce the energy waste of the air-conditioning system. Especially in areas with large changes in the number of people, unnecessary air-conditioning operations can be avoided through intelligent control;

[0040] (3) In the present invention, by precisely adjusting the air volume and temperature set values, while ensuring comfort, the energy consumption of the air-conditioning system is greatly reduced. By considering various factors such as the number of people, activity intensity, and thermal sensation temperature, the system can dynamically adjust the operation of the air-conditioning system according to actual needs, providing more precise thermal comfort control, avoiding the problems of overcooling or overheating, and significantly improving the thermal comfort of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a schematic diagram of the method framework structure of the present invention;

[0042] Figure 2 is a schematic diagram of the system framework structure of the present invention;

[0043] Figure 3 is a schematic diagram of the structure of the control partition network. DETAILED DESCRIPTION OF THE INVENTION

[0044] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0045] Example 1: Please refer to Figure 1 and Figure 3 , this application provides a variable air volume air conditioner control and adjustment method based on parameter adjustment, including the following steps:

[0046] Step 1: Divide the control area of the variable air volume air conditioner according to the position of the terminal device, and then obtain multiple control zones corresponding to the variable air volume air conditioner, and then obtain the control zone network of the variable air volume air conditioner. As Figure 3 shown, so that each control zone only contains one terminal device, realizing the zoning treatment of the terminal device of the variable air volume air conditioner;

[0047] Divide the air conditioner control area according to the position of the terminal device of the variable air volume air conditioner, so that each control zone only contains one terminal device, thus realizing precise zoning management.

[0048] Step 2: According to the positional relationship of the terminal devices in each control zone of the variable air volume air conditioner in the conveying pipeline network, and the positional relationship of each control zone in the control zone network, obtain the relevant associated zones respectively corresponding to each control zone. The relevant zones are respectively the direct associated zone and the indirect associated zone. The specific method is as follows:

[0049] Take the control zones corresponding to the terminal devices on the same conveying branch line as the direct associated zones of the control zones, and mark the adjacent zones of the control zones in the control zone network as the indirect associated zones of the corresponding control zones. Then obtain the direct associated zones and indirect associated zones respectively corresponding to each control zone. Here, the conveying branch line means at the same conveying branch pipe;

[0050] It should be noted that when the direct associated zone of the control zone is also the indirect associated zone at the same time, it is preferentially marked as the direct associated zone;

[0051] By determining the relationship between each control zone, obtain the corresponding direct and indirect associated zones. The direct associated zone refers to the control zones located on the same conveying branch line, while the indirect associated zone refers to the adjacent control zones.

[0052] Step 3: Use the infrared video monitoring device to obtain the real-time number of people in each control zone in the control zone network in real time, and judge the used zones and idle zones in the control zone network according to the real-time number of people in each control zone. The specific method is as follows:

[0053] Mark the real-time number of people corresponding to each control zone in the control zone network as Rr, where r represents different control zones, r = 1, 2,..., a, a represents the total number of control zones in the control zone network, a is a positive integer, and a satisfies a≥2;

[0054] The control partition with a non-zero real-time number of personnel Rr is determined as the used partition, and the remaining control partitions with a real-time number of personnel Rr of 0 are determined as idle partitions. A real-time number of personnel of 0 indicates that there is no population in the corresponding partition that needs to be used, and thus it is judged as an idle partition;

[0055] It should be noted that obtaining the real-time number of personnel in each control partition using an infrared video monitoring device is an existing and mature technology, so it will not be elaborated here;

[0056] Step 4: Obtain the partition area corresponding to each used partition through architectural drawings or laser range sensors, obtain the personal thermal sensation area corresponding to each person in each used partition through an infrared thermal imager, and obtain the number of moving personnel within the partition within a preset time period T from each used partition through the human trajectory tracking function of an intelligent camera. The preset time period T is = 60 seconds, and through comprehensive analysis, obtain the comprehensive thermal comfort evaluation coefficient Fi corresponding to each used partition. The specific method is as follows:

[0057] Obtain the partition area Si corresponding to each used partition through architectural drawings or laser range sensors, where i represents different used partitions;

[0058] Obtain the personal thermal sensation area corresponding to each person in each used partition through an infrared thermal imager, and use the sum of the personal thermal sensation areas corresponding to each person in each used partition as the overall thermal sensation area Gi corresponding to each used partition;

[0059] Use the ratio between the overall thermal sensation area Gi of each used partition and the partition area Si as the heat occupancy ratio coefficient Ci corresponding to each used partition;

[0060] Obtain the number of moving personnel Ai within the partition within a preset time period T from each used partition through the human trajectory tracking function of an intelligent camera, and use the ratio between the number of moving personnel Ai and the real-time number of personnel Ri as the personnel movement coefficient Di of each used partition;

[0061] Use an infrared thermometer or biosensor to obtain the partition temperature Qi corresponding to each used partition, and the body sensation temperature Hij corresponding to different personnel in each used partition, where j represents different personnel in different used partitions;

[0062] Through E Cold = ;

[0063] And E Hot = ;

[0064] Obtain the membership degrees Eij_cold and Eij_hot corresponding to different personnel in each usage area respectively;

[0065] Then, obtain the products of the membership degrees Eij_cold and Eij_hot corresponding to different personnel in each usage area respectively with -1 and +1, and sum up the products in each usage area. Take the sum as the calculation coefficient Ji corresponding to each usage area; The sum obtained by adding the products within each usage area is used as the calculation coefficient Ji corresponding to each usage area;

[0066] Through: Ji = , calculate and obtain the calculation coefficient Ji corresponding to each usage area; where j refers to different personnel in each usage area, j = 1, 2,..., bi, bi represents the number of real-time personnel in each usage area, bi is a positive integer, and bi satisfies bi ≥ 2;

[0067] Then, through the formula: Fi = Ji / Ri × Ci × Di, calculate and obtain the comprehensive thermal comfort evaluation coefficient Fi corresponding to each usage area.

[0068] Step Five: According to the comprehensive thermal comfort evaluation coefficient Fi corresponding to each usage area, determine the fuzzy set type to which each usage belongs. The specific method is as follows:

[0069] When the comprehensive thermal comfort evaluation coefficient F is less than the preset value Y1, then determine that the corresponding usage area belongs to the cold fuzzy set. When the comprehensive thermal comfort evaluation coefficient F is greater than the preset value Y2, then determine that the corresponding usage area belongs to the hot fuzzy set. When the comprehensive thermal comfort evaluation coefficient Fi is greater than or equal to the preset value Y1 and less than or equal to the preset value Y2, then determine that the corresponding usage area belongs to the moderate fuzzy set;

[0070] Among them, the specific values of the preset values Y1 and Y2 are determined by relevant personnel according to actual needs. The preset value Y2 is greater than the preset value Y1. Here, Y2 = 0.5 and Y1 = -0.5;

[0071] Step Six: According to the fuzzy set type to which each usage belongs, perform corresponding control operations on the usage area and its corresponding directly associated area and indirectly associated area. The specific method is as follows:

[0072] For the usage area belonging to the cold fuzzy set, it is necessary to raise the temperature of the corresponding area to the comfortable range;

[0073] Through, Vv new = VBv × (1 - |Fv|), calculate and obtain the valve opening degree Vv corresponding to each usage area belonging to the cold fuzzy set, new , then through Wv new= WBv + KA×|Fv|, calculate the elevated temperature Wv corresponding to each usage partition belonging to the cold fuzzy set ne , and simultaneously close the air supply valves of the direct and indirect associated partitions that do not belong to the usage partitions in each usage partition belonging to the cold fuzzy set, so as to reduce cold energy waste. By reducing the cold air volume of the non-usage partitions, more cold air volume is allocated to the usage partitions that need to increase the temperature, thereby improving the energy efficiency of the overall system;

[0074] |Fv| is the absolute value of the comprehensive thermal comfort evaluation coefficient, and the larger |Fv| is, the lower the temperature. Therefore, the reduction amplitude of the valve opening is proportional to |Fv|, thereby reducing the cold air volume and increasing the temperature;

[0075] Where v is each usage partition that obtains the cold fuzzy set, VBv and WBv are the calibrated valve openings and calibrated zone temperatures of each usage partition belonging to the cold fuzzy set respectively, and KA is a preset adjustment coefficient, and the specific value is determined by relevant personnel according to actual needs.

[0076] When the partition belongs to the cold fuzzy set, it indicates that the current temperature is lower than the comfortable range. The larger |Fv| is, the lower the temperature, and the cold air volume needs to be reduced to increase the temperature. The valve opening is adjusted based on the calibrated opening VBv, and multiplying by (1 - |Fv|) can reduce the valve opening, thereby reducing the cold air volume and increasing the temperature to raise the partition temperature to the comfortable range;

[0077] Based on the calibrated temperature WBv, the temperature set value is increased according to the absolute value |Fv| of the comprehensive thermal comfort evaluation coefficient and the adjustment coefficient KA. The larger |Fv| is, the lower the temperature, and the larger the temperature value that needs to be increased. Therefore, KA×|Fv| is used to increase the temperature set value to raise the partition temperature to the comfortable range.

[0078] For the usage partitions belonging to the hot fuzzy set, the partition temperature needs to be reduced to the comfortable range;

[0079] Through, Uu new = ZBu×(1 + |Fu|), calculate the increased valve opening Uu corresponding to each usage partition belonging to the hot fuzzy set new , and then through Lu new = OBu - KB×|Fu|, calculate the reduced set temperature Lu corresponding to each usage partition belonging to the hot fuzzy set new , and at the same time, if the direct associated partition corresponding to each usage partition belonging to the hot fuzzy set is a usage partition, synchronously increase its air supply volume. If the direct associated partition is an idle partition, open its valve to 50% opening to assist in cooling. By increasing the air supply volume of the direct associated partition, the temperature can be reduced more effectively; opening the valve of the idle partition to 50% opening can utilize the idle partition as an auxiliary cooling area to improve the cooling effect;

[0080] Since |Fu| is the absolute value of the comprehensive thermal comfort evaluation coefficient, and the larger |Fu| is, the higher the temperature is. Therefore, the increase amplitude of the valve opening is proportional to |Fu|, thereby increasing the cold air volume and reducing the temperature.

[0081] When the partition belongs to the thermal fuzzy set, it indicates that the current temperature is higher than the comfortable range. The larger |Fu| is, the higher the temperature is, and it is necessary to increase the cold air volume to reduce the temperature. The valve opening is adjusted based on the calibrated opening ZBu, and multiplying by (1 + |Fu|) can increase the valve opening, thereby increasing the cold air volume and reducing the temperature to lower the partition temperature to the comfortable range.

[0082] Based on the calibrated temperature OBu, the temperature set value is reduced according to the absolute value |Fu| of the comprehensive thermal comfort evaluation coefficient and the adjustment coefficient KB. The larger |Fu| is, the higher the temperature is, and the greater the temperature value to be reduced. Therefore, KB×|Fu| is used to reduce the temperature set value to lower the partition temperature to the comfortable range.

[0083] Where u is each usage partition that belongs to the thermal fuzzy set, ZBu and OBu are the calibrated valve openings and calibrated zone temperatures of each usage partition that belongs to the thermal fuzzy set respectively, and KB is a preset adjustment coefficient, and the specific value is determined by relevant personnel according to actual requirements.

[0084] If the valve opening of a certain usage partition has reached more than 95% and still cannot reach the set temperature, the following operations will be performed: raise the valve openings of all directly associated partitions on the same branch pipe of each usage partition to 80%, and at the same time trigger a system alarm to indicate abnormal network pressure or terminal failure.

[0085] When the valve opening of a certain partition has reached the limit but still cannot reach the set temperature, it may be due to abnormal network pressure or terminal failure. By opening the valves of all directly associated partitions on the same branch pipe, an attempt can be made to assist in adjusting the temperature by increasing the cold air volume of other partitions, and at the same time trigger a system alarm to promptly detect and solve problems.

[0086] For the usage partitions that belong to the moderate fuzzy set, no treatment is performed.

[0087] By dynamically adjusting the temperature and air volume, it is possible to effectively reduce the energy waste of the air conditioning system. Especially in areas with large changes in the number of people, through intelligent control to avoid unnecessary air conditioning operation, based on the assessment of real-time human thermal sensation and activity conditions, the air conditioning system can provide more accurate temperature adjustment, thereby enhancing the thermal comfort of people and meeting the comfort needs of different people. By introducing intelligent real-time feedback and dynamic optimization algorithms, the air conditioning system responds more flexibly to human behavior and environmental changes, ensuring the dual optimization of comfort and energy saving effects within the area.

[0088] By precisely adjusting the air volume and temperature set values, while ensuring comfort, the energy consumption of the air conditioning system is significantly reduced. By considering various factors such as the number of people, activity intensity, and thermal sensation temperature, the system can dynamically adjust the operation of the air conditioning system according to actual needs, providing more precise thermal comfort control. It can be widely applied to various types of variable air volume air conditioning systems to meet the needs of different buildings. By combining with existing sensor technologies and intelligent control systems, the control strategy can be further optimized and the adaptive ability of the system can be enhanced.

[0089] Embodiment 2: Please refer to Figure 2 , as Embodiment 2 of the present invention, a variable air volume air conditioning control and regulation system based on parameter adjustment is provided. This system is used to implement the variable air volume air conditioning control and regulation method disclosed above, and includes:

[0090] A zoning module that zones the control area of the variable air volume air conditioning to obtain multiple control zones;

[0091] An associated zone determination module that obtains the directly associated zone and indirectly associated zone corresponding to each control zone according to the position relationship of the terminal devices in each control zone of the variable air volume air conditioning in the delivery pipe network and the control zone network;

[0092] A usage zone determination module that determines the usage zone and idle zone in each control zone according to the real-time number of people in each control zone;

[0093] A comprehensive thermal comfort evaluation coefficient acquisition module that obtains the comprehensive thermal comfort evaluation coefficient corresponding to each usage zone through comprehensive analysis of the zone area corresponding to each usage zone, the personal thermal sensation area of each person in the zone, and the number of moving people in the zone within a preset time period T in each usage zone;

[0094] A fuzzy set type determination module that determines the fuzzy set class to which each usage belongs according to the comprehensive thermal comfort evaluation coefficient corresponding to each usage zone;

[0095] A control module that performs corresponding control operations on the usage zone and its corresponding directly associated zone and indirectly associated zone according to the fuzzy set type to which each usage belongs.

[0096] Through precise control of each partition, energy waste in the air conditioning system is avoided, especially in areas with frequent personnel flow. The system can dynamically adjust according to personnel activities and thermal sensing requirements, thereby optimizing energy efficiency and ensuring that the temperature and air volume of each partition meet the comfort requirements of personnel as much as possible, avoiding the problems of overcooling or overheating, significantly improving the thermal comfort of users. Through intelligent real-time feedback and dynamic optimization algorithms, the air conditioning system can flexibly adjust according to changes in the environment and personnel behavior, enhancing the adaptive ability of the system to meet the needs of different buildings and environments.

[0097] Embodiment 3: As Embodiment 3 of the present invention, in the specific implementation of this application, compared with Embodiment 1 and Embodiment 2, the technical solution of this embodiment lies in combining the solutions of the above Embodiment 1 and Embodiment 2 for implementation.

[0098] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula closest to the actual situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0099] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A variable air volume air conditioning control method based on parameter adjustment, characterized in that: The following steps are involved: Step 1: partition the variable air volume air conditioning control area to obtain multiple control partitions; Step 2: According to the positional relationship between the terminal devices in each control zone of the variable air volume air conditioner in the transmission pipe network and the control zone network, obtain the directly associated zones and indirectly associated zones corresponding to each control zone; Step 3: Determine the used partitions and idle partitions in each control partition according to the real-time number of personnel in each control partition; Step 4: Obtain the comprehensive thermal comfort evaluation coefficient corresponding to each use zone through comprehensive analysis of the zone area corresponding to each use zone, the personal thermal perception area of ​​each person in the zone, and the number of mobile personnel in each use zone within the preset time T, where T is = 60 seconds; Step 5: According to the comprehensive thermal comfort evaluation coefficient Fi corresponding to each usage partition, determine the fuzzy set type to which each usage belongs; Step 6: According to the fuzzy set type to which each usage belongs, corresponding control operations are performed on the usage partition and its corresponding directly associated partition and indirectly associated partition.

2. The variable air volume air conditioning control and adjustment method based on parameter adjustment according to claim 1, characterized in that: The specific method of obtaining the directly associated partitions and indirectly associated partitions corresponding to each control partition is: The control partition corresponding to the terminal device on the same conveyor branch line is taken as the directly associated partition of the control partition, and the adjacent partitions of the control partition are marked as indirectly associated partitions of the corresponding control partition, thereby obtaining the directly associated partitions and indirectly associated partitions corresponding to each control partition.

3. The variable air volume air conditioning control and adjustment method based on parameter adjustment according to claim 2, characterized in that: The specific method for determining the used partitions and idle partitions in each control partition is as follows; The real-time number of personnel corresponding to each control zone is obtained and marked as, and the control zone with a real-time number of personnel not being 0 is determined as a used zone, and the control zone with a real-time number of personnel being 0 is determined as an idle zone.

4. The variable air volume air conditioning control and adjustment method based on parameter adjustment according to claim 3 is characterized in that: The specific method for obtaining the comprehensive thermal comfort evaluation coefficient corresponding to each usage partition is as follows: Obtain the partition area Si corresponding to each use partition, the personal thermal sensing area corresponding to each person in each use partition, and use the ratio between the total thermal sensing area Gi of the personnel in each use partition and the partition area Si as the heat proportion coefficient Ci corresponding to each use partition, and use the sum of the personal thermal sensing areas corresponding to each person in each use partition as the total thermal sensing area Gi corresponding to each use partition. Obtain the number of mobile personnel Ai within the preset time length T in each use partition, and use the ratio between the number of mobile personnel Ai and the real-time number of personnel Ri as the personnel mobility coefficient Di of each use partition, where i refers to different use partitions; The zone temperature Qi corresponding to each use zone and the body temperature Hij corresponding to different people in each use zone are obtained for analysis, and then the membership degrees Eij cold and Eij hot corresponding to different people in each use zone are obtained. The thermal comfort evaluation coefficient Fi corresponding to each use zone is calculated by the formula: Fi=Ji / Ri×Ci×Di, where j refers to different personnel in each use zone, j=1, 2, …, bi, bi refers to the real-time number of personnel in each use zone, bi is a positive integer, and bi satisfies bi≥2.

5. The variable air volume air conditioning control and adjustment method based on parameter adjustment according to claim 4, characterized in that: Obtain the membership degrees Eij and Eij corresponding to different personnel in each usage partition The specific ways of heat are: By E Cold = ; and E Heat = ; The membership degrees Eij cold and Eij hot corresponding to different personnel in each usage zone are calculated.

6. The variable air volume air conditioning control and adjustment method based on parameter adjustment according to claim 5, characterized in that: The specific method for determining the fuzzy set type to which each use belongs is: When the comprehensive thermal comfort evaluation coefficient Fi is less than the preset value Y1, the corresponding usage partition is judged to belong to the cold fuzzy set. When the comprehensive thermal comfort evaluation coefficient Fi is greater than the preset value Y2, the corresponding usage partition is judged to belong to the hot fuzzy set. When the comprehensive thermal comfort evaluation coefficient Fi is greater than or equal to the preset value Y1 and less than or equal to the preset value Y2, the corresponding usage partition is judged to belong to the moderate fuzzy set, where Y2=0.5 and Y1=-0.

5.

7. The variable air volume air conditioning control and adjustment method based on parameter adjustment according to claim 6, characterized in that: The specific method of performing corresponding control operations on the use partitions belonging to the cold fuzzy set and their corresponding directly associated partitions and indirectly associated partitions is: For the usage partitions belonging to the cold fuzzy set, the partition temperature needs to be increased to a comfortable range; By, Vv new =VBv×(1-|Fv|), calculate the valve opening corresponding to each usage partition belonging to the cold fuzzy set, Vv new , and then through Wv new =WBv+KA×|Fv|, calculate the rising temperature Wv corresponding to each usage partition belonging to the cold fuzzy set ne , and at the same time close the air supply valves of the directly associated partitions and indirectly associated partitions that do not belong to the usage partitions in each usage partition belonging to the cold fuzzy set, where v is the various usage partitions belonging to the cold fuzzy set, VBv and WBv are the calibrated valve opening and calibrated area temperature of each usage partition belonging to the cold fuzzy set, respectively, and KA is the preset adjustment coefficient.

8. The variable air volume air conditioning control and adjustment method based on parameter adjustment according to claim 7, characterized in that: The specific method of performing corresponding control operations on the use partitions belonging to the thermal fuzzy set and their corresponding directly associated partitions and indirectly associated partitions is: By Uu new =ZBu×(1+|Fu|), calculate and obtain the lifting valve opening Uu corresponding to the use partitions belonging to the thermal fuzzy set new , and then through Lu new =OBu-KB×|Fu|, calculate and obtain the corresponding reduced set temperature Lu of the use partitions belonging to the thermal fuzzy set new At the same time, if the directly associated partitions corresponding to the use partitions belonging to the thermal fuzzy set are use partitions, the air supply volume will be increased synchronously. If the directly associated partitions are idle partitions, their valves will be opened to 50% to assist in cooling, where u is the use partitions belonging to the thermal fuzzy set, ZBu and OBu are the calibrated valve openings and calibrated area temperatures of the use partitions belonging to the thermal fuzzy set, respectively, and KB is the preset adjustment coefficient.

9. The variable air volume air conditioning control and adjustment method based on parameter adjustment according to claim 2, characterized in that: When the directly associated partition of the control partition is also an indirectly associated partition, it is marked as the directly associated partition first.

10. A variable air volume air conditioning control and regulation system based on parameter regulation, characterized in that: The system implements the variable air volume air conditioning control adjustment method based on parameter adjustment according to any one of claims 1 to 9, including: Partitioning module, partitioning the variable air volume air conditioning control area to obtain multiple control partitions; The associated partition determination module obtains the directly associated partitions and the indirectly associated partitions corresponding to each control partition according to the positional relationship between the terminal devices in each control partition of the variable air volume air conditioner in the transmission pipe network and the control partition network; Using the partition determination module, the used partition and idle partition in each control partition are determined according to the real-time number of personnel in each control partition; The comprehensive thermal comfort evaluation coefficient acquisition module obtains the comprehensive thermal comfort evaluation coefficient corresponding to each use zone through comprehensive analysis of the zone area corresponding to each use zone, the personal thermal perception area of ​​each person in the zone, and the number of mobile personnel in each use zone within a preset time T; The fuzzy set type determination module determines the fuzzy set class to which each use belongs according to the comprehensive thermal comfort evaluation coefficient corresponding to each use partition; The control module performs corresponding control operations on the usage partition and its corresponding directly associated partition and indirectly associated partition according to the fuzzy set type to which each usage belongs.

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