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

Abstract

The present invention discloses a variable air volume air conditioner control and regulation method and system based on parameter adjustment, relating to the technical field of variable air volume air conditioner regulation, including Step Five: determining the fuzzy set types to which each usage zone belongs according to the comprehensive thermal comfort evaluation coefficients respectively corresponding to each usage zone; Step Six: performing corresponding control operations on the usage zone and its corresponding directly associated zone and indirectly associated zone according to the fuzzy set types to which each usage zone belongs. 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, 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, provide more precise thermal comfort control, avoid the problems of overcooling or overheating, and significantly improve the thermal comfort of users.

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 Art

[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 people's 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 the preset duration T within each usage partition, 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 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 ratio 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 corresponding to each usage partition. Obtain the number of moving people Ai 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 temperature Qi corresponding to each usage zone and the perceived temperature Hij corresponding to different individuals within each usage zone are obtained using an infrared thermometer or a biosensor, analyzed, and then the membership degree E corresponding to different individuals within each usage zone is obtained. ij冷 and E ij热 to obtain the membership degree E corresponding to different individuals within each usage zone ij冷 and E ij热 Multiply the ones corresponding to -1 and +1 respectively, and sum the products within each usage zone to obtain a sum as the calculation coefficient Ji corresponding to each usage zone. Then, through the formula: Fi = Ji / Ri × Ci × Di, calculate the comprehensive thermal comfort evaluation coefficient Fi corresponding to each usage zone. Here, j refers to different individuals within each usage zone, j = 1, 2, ……, bi, bi represents the real-time number of people within each usage zone, bi is a positive integer, and bi satisfies bi ≥ 2.

[0019] As a further solution of the present invention: obtain the membership degree E corresponding to different individuals within each usage zone ij冷 and E ij热

[0020] through E ij冷 ;

[0021] and E ij热 .

[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 Fi 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. Here, 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 increased to the comfortable range;

[0026] through, Vv new=VBv×(1 - |Fv|), calculate the valve opening degrees corresponding to each usage partition belonging to the cold fuzzy set, Vv new , and then through Wv new =WBv + KA×|Fv|, calculate the increased temperature Wv corresponding to each usage partition belonging to the cold fuzzy set new , and simultaneously 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 opening degrees and calibrated regional 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 lifting valve opening degrees 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 simultaneously 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 degree to assist in cooling, where u is each usage partition obtained belonging to the hot fuzzy set, ZBu and OBu are the calibrated valve opening degrees and calibrated regional 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 position relationship of the terminal devices in each control partition of the variable air volume air conditioner in the conveying pipeline network and the control partition network;

[0033] Using a partition determination module, determine the used partitions and idle partitions in each control partition according to the real-time number of people in each control partition;

[0034] A comprehensive thermal comfort evaluation coefficient acquisition module obtains the comprehensive thermal comfort evaluation coefficients corresponding to each used partition through comprehensive analysis of the partition area corresponding to each used partition, the personal thermal sensation area of each person in the area, and the number of moving people in the partition within a preset time period T in each used partition;

[0035] A fuzzy set type determination module determines the fuzzy set classes to which each use belongs according to the comprehensive thermal comfort evaluation coefficient Fi corresponding to each used partition;

[0036] A control module performs corresponding control operations on the used partition and its directly associated partition and indirectly associated partition according to the fuzzy set type to which each use 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, thereby 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 are 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, provide more precise thermal comfort control, avoid the problems of overcooling or overheating, and significantly improve the thermal comfort of users. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

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

[0044] The technical solution 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 the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work belong to the scope of protection of the present invention.

[0045] Embodiment 1: Please refer to Figure 1 and Figure 3 , the present 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, so as to obtain multiple control areas corresponding to the variable air volume air conditioner, and then obtain the control area network of the variable air volume air conditioner. As Figure 3 shown, each control area only contains one terminal device, realizing the zoning processing of the terminal device of the variable air volume air conditioner;

[0047] The air conditioner control area is divided according to the position of the terminal device of the variable air volume air conditioner, so that each control area 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 area of the variable air volume air conditioner in the conveying pipeline network, and the positional relationship of each control area in the control area network, obtain the relevant associated areas respectively corresponding to each control area. The relevant areas are directly associated areas and indirectly associated areas respectively. The specific method is as follows:

[0049] The control area corresponding to the terminal devices on the same conveying branch line is used as the direct associated area of the control area, and the adjacent areas of the control area in the control area network are all marked as the indirectly associated areas of the corresponding control area, so as to obtain the direct associated areas and indirectly associated areas respectively corresponding to each control area. Here, the conveying branch line is located at the same conveying branch pipe;

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

[0051] By determining the relationship between each control area, the corresponding direct and indirect associated areas are obtained. The direct associated area refers to the control area located on the same conveying branch line, while the indirectly associated area refers to the adjacent control area.

[0052] Step 3: Use the infrared video monitoring device to obtain the real-time number of people in each control area of the control area network in real time, and judge the used area and idle area in the control area network according to the real-time number of people in each control area. 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] Determine the control zones with non-zero real-time number of people Rr as used zones, and the remaining control zones with real-time number of people Rr equal to 0 as idle zones. A real-time number of people equal to 0 indicates that there is no population in the corresponding zone that needs to be used, and thus it is judged as an idle zone;

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

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

[0057] Obtain the area Si of each used zone corresponding to each used zone through architectural drawings or laser distance sensors, where i represents different used zones;

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

[0059] Use the ratio between the overall heat sensation area Gi of the people in each used zone and the area Si of the zone as the heat proportion coefficient Ci corresponding to each used zone;

[0060] Obtain the number of moving people Ai within the preset duration T in each used zone from each used zone through the human trajectory tracking function of an intelligent camera, and use 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 used zone;

[0061] 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, where j represents different individuals in different usage zones;

[0062] Through E ij冷 ;

[0063] And E ij热

[0064] The membership degrees E corresponding to different individuals within each usage zone are obtained ij冷 And E ij热 ;

[0065] Then, the membership degrees E corresponding to different individuals within each usage zone are obtained ij冷 And E ij热 The products with those between -1 and +1 are obtained respectively, and the sum obtained by adding the products within each usage zone is used as the calculation coefficient Ji corresponding to each usage zone;

[0066] Through: Ji = , the calculation coefficient Ji corresponding to each usage zone is calculated; where j represents 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;

[0067] Furthermore, through the formula: Fi = Ji / Ri × Ci × Di, the comprehensive thermal comfort evaluation coefficient Fi corresponding to each usage zone is calculated.

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

[0069] 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 Fi 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;

[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 types to which each usage belongs, perform corresponding control operations on the usage partitions and their corresponding direct association partitions and indirect association partitions. The specific method is as follows:

[0072] For the usage partitions belonging to the cold fuzzy set, the temperature of the corresponding partitions needs to be raised to the comfortable range;

[0073] Through, Vv new =VBv×(1 - |Fv|), calculate the valve opening degrees corresponding to each usage partition belonging to the cold fuzzy set, Vv new , and then through Wv new =WBv + KA×|Fv|, calculate the increased temperature Wv corresponding to each usage partition belonging to the cold fuzzy set new , and at the same time close the air supply valves of the direct association partitions and indirect association partitions that do not belong to the usage partitions in each usage partition belonging to the cold fuzzy set to reduce cold energy waste. By reducing the cold air volume in the non - usage partitions, more cold air volume is allocated to the usage partitions that need to raise 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 raising the temperature;

[0075] Among them, Fv is the comprehensive thermal comfort evaluation coefficient of each usage partition belonging to the cold fuzzy set, v is each usage partition belonging to the cold fuzzy set, VBv and WBv are the calibrated valve opening degrees and calibrated regional 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. It is necessary to reduce the cold air volume to raise 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 raising the temperature to raise the partition temperature to the comfortable range;

[0077] Based on the calibrated temperature WBv, the temperature set value is raised 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 raised. 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 lowered to the comfortable range;

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

[0080] Since |Fu| is the absolute value of the thermal 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 zone 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 reduce the zone 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 reduce the zone temperature to the comfortable range;

[0083] Among them, Fu is the comprehensive thermal comfort evaluation coefficient of each usage zone belonging to the thermal fuzzy set, u is to obtain each usage zone belonging to the thermal fuzzy set, ZBu and OBu are the calibrated valve opening and calibrated zone temperature of each usage zone belonging 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 zone has reached more than 95% and still cannot reach the set temperature, the following operations are performed: the valve openings of all directly associated zones on the same branch pipe of each usage zone are increased to 80%, and at the same time, the system alarm is triggered to prompt abnormal network pressure or end failure;

[0085] When the valve opening of a certain partition has reached the limit but the set temperature still cannot be achieved, it may be due to abnormal pipe 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 regulating the temperature by increasing the cold air volume of other partitions, while triggering a system alarm to promptly detect and solve problems;

[0086] For the usage partitions belonging to the medium fuzzy set, no processing 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 variations in the number of people, through intelligent control to avoid unnecessary air-conditioning operations, based on the assessment of real-time human thermal sensation and activity conditions, the air-conditioning system can provide more precise temperature regulation, 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 changes in human behavior and the environment, 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, provides a variable air volume air-conditioning control and regulation system based on parameter adjustment, which is used to implement the variable air volume air-conditioning control and regulation method disclosed above, including:

[0090] A partition module that partitions the variable air volume air-conditioning control area to obtain multiple control partitions;

[0091] An associated partition determination module that obtains the directly associated partitions and indirectly associated partitions respectively corresponding to each control partition according to the positional relationship of the terminal devices in each control partition of the variable air volume air-conditioning in the conveying pipe network and the control partition network;

[0092] 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;

[0093] 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 usage area within the preset duration T;

[0094] The fuzzy set type determination module determines the fuzzy set types to which each usage belongs according to the comprehensive thermal comfort evaluation coefficients corresponding to each usage area;

[0095] 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.

[0096] Through the precise control of each area, the energy waste of the air-conditioning system is avoided, especially in areas with frequent personnel flow. The system can dynamically adjust according to personnel activities and thermal sensation requirements, thereby optimizing energy efficiency and ensuring that the temperature and air volume of each area 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 the intelligent real-time feedback and dynamic optimization algorithm, the air-conditioning system can flexibly adjust according to the changes of the environment and personnel behavior, enhancing the adaptive ability of the system and meeting the requirements of different buildings and environments.

[0097] Embodiment 3: As the third embodiment of the present invention, when the present application is specifically implemented, compared with Embodiment 1 and Embodiment 2, the technical solution of this embodiment is to combine the solutions of the above-mentioned Embodiment 1 and Embodiment 2.

[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 the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present application, and all should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A variable air volume air conditioning control and adjustment method based on parameter adjustment, characterized in that It includes the following steps: Step 1: Partition the variable air volume air conditioning control area to obtain multiple control partitions; Step 2: According to the positional relationship of the terminal devices in each control partition of the variable air volume air conditioning in the conveying pipe network and the control partition network, obtain the directly associated partition and the indirectly associated partition corresponding to each control partition respectively; Step 3: Determine the occupied partition and the idle partition in each control partition according to the real-time number of people in each control partition; Step 4: By obtaining the partition area Si corresponding to each occupied partition respectively, the personal heat sensation area corresponding to each person in each occupied partition, take the ratio between the total heat sensation area Gi of the people in each occupied partition and the partition area Si as the heat occupancy ratio coefficient Ci corresponding to each occupied partition respectively, take the sum of the personal heat sensation areas corresponding to each person in each occupied partition as the total heat sensation area Gi of the people corresponding to each occupied partition respectively, obtain the number of moving people Ai within the partition of the people in the occupied partition within the preset time period T, and take the ratio between the number of moving people Ai and the real-time number of people Ri as the people movement coefficient Di of each occupied partition, where i represents different occupied partitions, and where T = 60 seconds; Obtain the partition temperature Qi corresponding to each usage partition, and analyze the perceived temperature Hij corresponding to different individuals in each usage partition, and then obtain the membership degree E corresponding to different individuals in each usage partition ij冷 and E ij热 Multiply the membership degrees E ij冷 and E ij热 corresponding to different individuals in each usage partition by the product between -1 and +1 respectively, and add up the products in each usage partition to obtain the sum as the calculation coefficient Ji corresponding to each usage partition. Then, through the formula: Fi = Ji / Ri × Ci × Di, calculate the comprehensive thermal comfort evaluation coefficient Fi corresponding to each usage partition. Among them, j refers to different individuals in each usage partition, j = 1, 2, ……, bi, bi refers to the real-time number of individuals in each usage partition, bi is a positive integer, and bi satisfies bi ≥ 2; Step 5: Determine the fuzzy set type to which each occupied partition belongs according to the comprehensive thermal comfort evaluation coefficient Fi corresponding to each occupied partition respectively; Step 6: Perform corresponding control operations on the occupied partition and its corresponding directly associated partition and indirectly associated partition according to the fuzzy set type to which each belongs.

2. The variable air volume air conditioner control and adjustment method based on parameter adjustment according to claim 1, characterized in that The specific method for obtaining the directly associated partition and the indirectly associated partition corresponding to each control partition respectively is: Take the control partition corresponding to the terminal devices on the same conveying branch line as the directly associated partition of the control partition, and mark the adjacent partitions of the control partition as the indirectly associated partitions corresponding to the control partition, so as to obtain the directly associated partition and the indirectly associated partition corresponding to each control partition respectively.

3. The variable air volume air conditioner control and adjustment method based on parameter adjustment according to claim 2, wherein, The specific method for determining the occupied partition and the idle partition in each control partition is: Obtain the real-time number of people corresponding to each control partition respectively, determine the control partition with a non-zero real-time number of people as the occupied partition, and the control partition with a real-time number of people of 0 as the idle partition.

4. The variable air volume air conditioner control and adjustment method based on parameter adjustment according to claim 1, characterized in that, Obtain the membership degrees E corresponding to different personnel in each usage partition respectively ij冷 and E ij热 The specific implementation manner is as follows: , calculate and obtain the membership degrees E corresponding to different personnel in each usage area respectively ij冷 and E ij热 .

5. The variable air volume air conditioner control and adjustment method based on parameter adjustment according to claim 1, characterized in that The specific method for determining the fuzzy set type to which each belongs is: When the comprehensive thermal comfort evaluation coefficient Fi is less than the preset value Y1, then determine the corresponding occupied partition as belonging to the cold fuzzy set. When the comprehensive thermal comfort evaluation coefficient Fi is greater than the preset value Y2, then determine the corresponding occupied partition as belonging 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 the corresponding occupied partition as belonging to the moderate fuzzy set. Here, Y2 = 0.5 and Y1 = -0.

5.

6. The variable air volume air conditioner control and adjustment method based on parameter adjustment according to claim 5, characterized in that, The specific method for performing corresponding control operations on the occupied partition belonging to the cold fuzzy set and its corresponding directly associated partition and indirectly associated partition is: For the occupied partition belonging to the cold fuzzy set, it is necessary to raise the partition temperature to within the comfortable range; Pass through, Vv new = VBv×(1 - |Fv|), calculate the valve opening degrees corresponding to each usage partition belonging to the cold fuzzy set, Vv new , and then through Wv new = WBv + KA×|Fv|, calculate the increased temperatures Wv corresponding to each usage partition belonging to the cold fuzzy set new , and at the same time close the air supply valves of the direct association partitions and indirect association partitions that do not belong to the usage partitions in each usage partition belonging to the cold fuzzy set, where Fv is the comprehensive thermal comfort evaluation coefficient of each usage partition belonging to the cold fuzzy set, v is each usage partition obtained belonging to the cold fuzzy set, VBv and WBv are the calibrated valve openings and calibrated regional temperatures of each usage partition belonging to the cold fuzzy set respectively, and KA is a preset adjustment coefficient.

7. The variable air volume air conditioner control and adjustment method based on parameter adjustment according to claim 6, characterized in that, The specific method for performing corresponding control operations on the usage partitions belonging to the thermal fuzzy set and their corresponding directly associated partitions and indirectly associated partitions is as follows: Through, Uu new = ZBu × (1 + |Fu|), calculate and obtain the increased valve opening Uu corresponding to the usage partitions belonging to the thermal fuzzy set new , and then through Lu new = OBu - KB × |Fu|, calculate and obtain the decreased set temperature Lu corresponding to the usage partitions belonging to the thermal fuzzy set new ; At the same time, if the directly associated partition corresponding to the usage partition belonging to the thermal fuzzy set is the usage partition, synchronously increase its air supply volume. If the directly associated partition is the idle partition, open its valve to 50% opening to assist in cooling, where Fu is the comprehensive thermal comfort evaluation coefficient of each usage partition belonging to the thermal fuzzy set, u is each usage partition obtained belonging to the thermal fuzzy set, ZBu and OBu are the calibrated valve opening and calibrated regional temperature of each usage partition belonging to the thermal fuzzy set, respectively, and KB is the preset adjustment coefficient.

8. The variable air volume air conditioner 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 at the same time, it is preferentially marked as the directly associated partition.

9. A variable air volume air conditioning control and regulation system based on parameter adjustment, characterized in that, The system implements the variable air volume air conditioning control and adjustment method based on parameter adjustment described in any one of claims 1-8, including: A partition module that partitions the variable air volume air conditioning control area to obtain multiple control partitions; An associated partition determination module that obtains the directly associated partition and the indirectly associated partition corresponding to each control partition according to the position relationship of the terminal devices in each control partition of the variable air volume air conditioner in the conveying pipe network and the control partition network; A usage partition determination module that determines the usage partition and the idle partition in each control partition according to the real-time number of people in each control partition; A comprehensive thermal comfort evaluation coefficient acquisition module that obtains the comprehensive thermal comfort evaluation coefficient corresponding to each usage partition through comprehensive analysis of the partition area corresponding to each usage partition, the personal thermal sensation area of each person in the area, and the number of moving people in the partition within the preset time period T in each usage partition; 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 partition; A control module that 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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