A HVAC equipment control system

By adopting the control system in HVAC, including pressure treatment, multi -tube -beam thermal exchange and heat storage device, dynamically adjust the active heating parameters, solve the problem of low residual heat reuse efficiency of the existing HVAC, and achieve more efficient Energy utilization and lower environmental pollution.

CN118980174BActive Publication Date: 2025-01-24SU ZHOU MAN KAI XI TONG JI CHENG YOU XIAN GONG SI
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Patent Information

Application Number
CN202411051871.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-02-22
Publication Date
2025-01-24
Estimated Expiration
2044-02-22

AI Technical Summary

Technical Problem

The waste heat reuse efficiency of existing HVAC equipment is low, resulting in energy waste and environmental pollution, and the heating and insulation efficiency of hot water is not high, affecting the energy conservation and emission reduction effect.

Method used

An HVAC equipment management and control system is adopted, including an air supply device, an exhaust device, a heat exchange device, a temperature monitoring device and a processor. By pressurizing the old air, the multi-tube heat exchanger is used to absorb heat and provide supplementary heating to the fresh air, and the heat storage device is used to store and output heat, and the active heating parameters are dynamically adjusted to improve waste heat utilization.

Benefits of technology

It improves the energy conservation and emission reduction efficiency and waste heat utilization rate of HVAC equipment, reduce energy waste and environmental pollution, and ensure the user experience and increase the willingness to reuse the heat reuse.

✦ Generated by Eureka AI based on patent content.

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Abstract

An embodiment of the present specification provides a HVAC equipment management and control system, which includes an air supply device, an exhaust device, a heat exchange device and a processor; wherein the processor is configured to: determine a conversion coefficient based on multiple groups of waste heat recycling records determined based on historical heating data, the historical heating data including at least one of historical exhaust air temperature, historical supply air temperature, and historical active heating parameters; dynamically determine the current heating supplement capacity through the conversion coefficient based on the latest exhaust air parameters, the latest exhaust air parameters including the latest exhaust air temperature and / or the latest exhaust air speed; determine the active heating parameters of the HVAC equipment based on the current heating supplement capacity; and in response to the change in the conversion coefficient meeting a preset condition, store the heat from the exhausted old air in the heat storage device based on the heat exchange device, and uniformly output the heat from the heat storage device to heat the fresh air.
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Description

[0001] Description of the case

[0002] This application is a divisional application filed for the Chinese application with the application date of February 22, 2024, application number 202410195576.1, and invention name “A system and method for waste heat recovery of HVAC equipment”. Technical Field

[0003] This specification relates to the field of energy saving of HVAC equipment, and in particular to a HVAC equipment management and control system. Background Art

[0004] During operation, HVAC equipment will discharge indoor air to the outside, and the temperature of the discharged old air is higher than that of the outdoor air. Waste heat recovery technology can recover the heat in the old air for reuse, reduce the heat pollution of HVAC equipment to the environment, and save the energy and cost consumption of fuel oil and coal, which has a dual energy-saving significance. Most of the waste heat recovery of HVAC equipment is to use the heat in the old air to burn hot water, but the actual demand time and use time for hot water are uncertain. The hot water boiled with waste heat may not be used in time and cool down, resulting in a waste of waste heat resources.

[0005] In order to solve the above problems, CN115751432B provides an indoor HVAC treatment system, which realizes heat exchange through a part of the pipe that connects the ventilation pipe with the outlet of the heating circulation device through a cold and hot exchange device that penetrates and covers the outer surface of the ventilation pipe. The newly designed heating circulation device can continuously heat the cold water at a constant temperature, avoiding the waste of resources caused by hot water cooling. Although this system can avoid the water being discharged before it is heated to the full extent, the efficiency of waste heat utilization is still relatively low, and the heating and heat preservation of hot water also greatly reduces the effect of energy saving and emission reduction.

[0006] Therefore, a HVAC equipment management and control system is needed to improve energy conservation and emission reduction efficiency and improve waste heat utilization. Summary of the invention

[0007] One or more embodiments of the present specification provide a HVAC equipment management and control system, including: an air supply device, an exhaust device, a heat exchange device, a temperature monitoring device and a processor; the air supply device is configured to deliver outdoor fresh air into the room; the exhaust device is configured to exhaust indoor old air to the outside; the heat exchange device includes a pressurizing device, a multi-tube bundle heat exchanger and a heat storage device, wherein the pressurizing device is configured to pressurize the old air discharged by the exhaust device based on a target pressurization parameter to obtain pressurized air, and the multi-tube bundle heat exchanger is configured to absorb the pressurized air. The heat in the air is absorbed, and the fresh air is supplemented with heat based on the absorbed heat; the heat storage device is configured to store thermal energy; the temperature monitoring device is deployed at the air outlet of the air supply device and the air inlet of the exhaust device, and the temperature monitoring device is configured to obtain the supply air temperature and the exhaust air temperature; the processor is configured to: obtain historical heating data, match the historical heating data based on the waste heat recycling time, determine multiple groups of waste heat recycling records, and determine a conversion coefficient based on the multiple groups of waste heat recycling records, and the conversion coefficient is used to characterize the heat exchange a coefficient of the degree of waste heat recycling of the exhausted old air by the heat exchange device, the historical heating data including at least one of the historical exhaust air temperature, the historical supply air temperature and the historical active heating parameters; based on a preset period, dynamically obtaining the latest exhaust air parameters, based on the latest exhaust air parameters, dynamically determining the current heating supplement capacity through the conversion coefficient, the heating supplement capacity is the ability to supplement the heating of the fresh air by recycling waste heat, the preset period is related to the similarity between future fluctuations and historical fluctuations, the future fluctuations refer to the fluctuations of data related to future user settings, the historical fluctuations refer to the fluctuations of data related to historical user settings, the latest exhaust air parameters include the latest exhaust air temperature and / or the latest exhaust air speed; based on the current heating supplement capacity, determining the active heating parameters of the HVAC equipment, active heating is a heating method for heating the fresh air by means of electric energy or the like; and in response to the change of the conversion coefficient satisfying the preset conditions, based on the heat exchange device, storing the heat from the exhausted old air in the heat storage device, and the heat storage device uniformly outputs the heat to heat the fresh air.

[0008] One or more embodiments of the present specification provide a method for controlling HVAC equipment, which is executed by a processor of a HVAC equipment control system, including: obtaining historical heating data, matching the historical heating data based on the waste heat reuse time, determining multiple groups of waste heat reuse records, and determining a conversion coefficient based on the multiple groups of waste heat reuse records, wherein the conversion coefficient is used to characterize the coefficient of the degree of waste heat reuse of the exhausted old air by the heat exchange device, and the historical heating data includes at least one of the historical exhaust air temperature, the historical supply air temperature, and the historical active heating parameters; based on a preset cycle, dynamically obtaining the latest exhaust air parameters, and based on the latest exhaust air parameters, dynamically determining the current heat replenishment capacity through the conversion coefficient, and the heat replenishment capacity is the heat replenishment capacity obtained by recycling the waste heat to the fresh air The ability to perform supplementary heating, the preset period is related to the similarity between future fluctuations and historical fluctuations, the future fluctuations refer to the fluctuations of data related to future user settings, the historical fluctuations refer to the fluctuations of data related to historical user settings, the latest exhaust parameters include the latest exhaust temperature and / or the latest exhaust speed; based on the current supplementary heating capacity, the active heating parameters of the HVAC equipment are determined, active heating is a heating method for heating the fresh air by means of electric energy or the like; and in response to the change in the conversion coefficient meeting the preset conditions, the heat from the exhausted old air is stored in the heat storage device based on the heat exchange device, and the heat storage device uniformly outputs the heat to heat the fresh air. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0010] Figure 1 is an exemplary structural diagram of a waste heat recovery system for HVAC equipment according to some embodiments of this specification;

[0011] Figure 2 is an exemplary flow chart of a method for recycling waste heat of HVAC equipment according to some embodiments of this specification;

[0012] Figure 3 is an exemplary schematic diagram of a conversion model according to some embodiments of this specification;

[0013] Figure 4 is an exemplary schematic diagram of determining active heating parameters according to some embodiments of this specification;

[0014] Figure 5 This is an exemplary schematic diagram of determining active heating parameters based on a prediction model according to some embodiments of this specification. DETAILED DESCRIPTION

[0015] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0016] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0017] As shown in this specification and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "comprise" and "include" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0018] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0019] During the operation of HVAC equipment, using waste heat to boil hot water may cause waste heat resources. CN115751432B can continuously heat cold water at a constant temperature through heating circulation equipment, but the waste heat utilization rate is still low. In view of this, some embodiments of this specification heat the room by combining active heating and supplementary heating, where active heating is heating by traditional methods such as electricity, and supplementary heating is heating using heat recovered from waste heat; and accurately evaluate the supplementary heating capacity of waste heat recycling, and adjust the active heating parameters of HVAC equipment at the same time, which helps to improve energy conservation and emission reduction efficiency, and improve waste heat utilization while ensuring user experience.

[0020] Figure 1 is an exemplary structural diagram of a waste heat recovery system for HVAC equipment according to some embodiments of this specification. Figure 1 As shown, the HVAC equipment waste heat recovery system 100 may include an air supply device 110 , an air exhaust device 120 , a heat exchange device 130 , a temperature monitoring device 140 and a processor 150 .

[0021] The air supply device 110 refers to a device or component for delivering fresh air. In some embodiments, the air supply device can be configured to deliver outdoor fresh air into the room.

[0022] The exhaust device 120 refers to a device or component for exhausting air. In some embodiments, the exhaust device can be configured to exhaust old air in the room to the outside.

[0023] The heat exchange device 130 refers to a device or component for performing heat exchange. In some embodiments, the heat exchange device can absorb heat from old air through a heat exchange medium and perform supplementary heating on new air.

[0024] In some embodiments, the heat exchange device 130 may include a pressurizing device 131 and a multi-tube bundle heat exchanger 132 .

[0025] The pressurizing device 131 refers to a device or component for pressurizing air. For example, the pressurizing device may include an air supercharger, a booster pump, etc. In some embodiments, the pressurizing device may be configured to pressurize the old air discharged by the exhaust device based on the target pressurization parameter to obtain pressurized air. The pressurized air refers to the old air that has been pressurized.

[0026] The old air directly discharged by the exhaust device has low pressure and slow flow rate. The efficiency of directly inputting it into the multi-tube bundle heat exchanger for heat exchange is very low. Some embodiments of this specification use a pressurizing device to pressurize the old air, and then send the pressurized air into the multi-tube bundle heat exchanger for heat exchange, absorbing the heat in the pressurized air, which can improve the heat utilization rate of the old air.

[0027] The multi-tube bundle heat exchanger 132 refers to a device or component that allows two fluids with different temperatures to exchange heat. The multi-tube bundle heat exchanger may include a plurality of tube bundles composed of tubes, and may be used in high temperature and high pressure situations. The tube bundle may have a variety of shapes, and the shape of the tube bundle may be designed according to actual needs in actual use.

[0028] In some embodiments, the multi-tube heat exchanger may be configured to absorb heat from the pressurized air and perform supplemental heating on the fresh air based on the absorbed heat.

[0029] In some embodiments, the heat exchange device 130 may further include a heat storage device 133 .

[0030] The heat storage device 133 refers to a device or component for storing thermal energy. For example, the heat storage device may include a hot water storage tank, a hot salt energy storage system, a phase change heat storage material, etc.

[0031] In some embodiments, in response to the change in the conversion coefficient meeting the preset conditions, the heat exchange device can store the heat from the exhausted old air in the heat storage device, and the heat storage device uniformly outputs the heat to heat the fresh air. For more information on the change in the conversion coefficient and the preset conditions, please refer to Figures 2 to 4 Related description.

[0032] In some embodiments, the heat exchange device may be provided with two heat energy flow lines with valves, one leading to fresh air and the other leading to the heat storage device, and the processor may control the opening and closing of the valves in the heat energy flow lines to control the heat flow to different lines. For example, when the processor closes the valve leading to fresh air and opens the valve leading to the heat storage device, the heat exchange device may store heat in the heat storage device.

[0033] When the change of the conversion coefficient meets the preset conditions, the heat absorbed by the heat exchange device fluctuates greatly. If the absorbed heat is used in real time to heat the fresh air, the effect of supplementary heating is relatively unstable, which may cause the fresh air to be hot and cold, and the user's willingness to reuse the waste heat may not be high. In some embodiments of this specification, when the change of the conversion coefficient meets the preset conditions, the heat is stored in the heat storage device. When storing a certain amount of heat, the heat storage device can output heat to the outside relatively stably to ensure stable heating of the fresh air. At this time, the heat utilization rate is relatively low, but it can improve the user experience, thereby increasing the user's willingness to reuse waste heat, achieving the effect of energy saving and emission reduction from another perspective.

[0034] The temperature monitoring device 140 refers to a device for monitoring temperature. For example, the temperature monitoring device 140 may include but is not limited to a temperature sensor.

[0035] In some embodiments, the temperature monitoring device may be deployed at the air outlet of the air supply device and the air inlet of the air exhaust device. In some embodiments, the temperature monitoring device may be configured to obtain the supply air temperature and the exhaust air temperature.

[0036] The processor 150 refers to a device or component for processing information and / or data related to the HVAC equipment waste heat recovery system 100. The processor 150 can execute program instructions based on these data, information and / or processing results to perform one or more functions described in this specification. In some embodiments, the processor 150 can be connected to the air supply device 110, the exhaust device 120, the heat exchange device 130, the temperature monitoring device 140 and the air flow sensor 160.

[0037] In some embodiments, the processor can be configured to evaluate the heat recovery capacity of waste heat recycling based on at least one of the supply air temperature and the exhaust air temperature; determine the active heating parameters of the HVAC equipment based on the heat recovery capacity; determine the heat recovery capacity gain corresponding to the candidate pressurization parameters based on the exhaust air temperature; and determine the target pressurization parameters based on the heat recovery capacity gain and the pressurization power consumption.

[0038] In some embodiments, the processor may also be configured to dynamically obtain the latest exhaust parameters based on a preset period, and dynamically determine the current heat supplement capacity through a conversion coefficient based on the latest exhaust parameters.

[0039] In some embodiments, the processor can also be configured to obtain historical heating data, match the historical heating data based on the waste heat recycling duration, determine multiple groups of waste heat recycling records; and determine a conversion coefficient based on the multiple groups of waste heat recycling records.

[0040] In some embodiments, the processor may be further configured to obtain user settings, and determine active heating parameters based on the user settings and current supplemental heating capacity.

[0041] In some embodiments, the waste heat recovery system 100 for HVAC equipment may further include an air flow sensor 160 .

[0042] The airflow sensor 160 refers to a device or component for monitoring the gas flow rate. For example, the airflow sensor may include a hot wire wind speed sensor, a hot film wind speed sensor, and the like.

[0043] In some embodiments, the air flow sensor may be disposed at the exhaust port of the exhaust device, and the air flow sensor may be used to monitor the exhaust speed, wherein the exhaust speed refers to the flow rate of the exhausted old air.

[0044] In some embodiments, the HVAC equipment waste heat recovery system 100 may include a storage device, etc., and the processor 150 may obtain pre-stored data and / or information related to the HVAC equipment waste heat recovery system 100 from the storage device. In some embodiments, the HVAC equipment waste heat recovery system 100 may include a network. The processor 150 may obtain data and / or information related to the HVAC equipment waste heat recovery system 100 through the network.

[0045] In some embodiments, the HVAC equipment waste heat recovery system 100 may further include a user terminal. The user terminal may refer to one or more terminal devices or software used by a user. The user may refer to a user, operator, etc. of the HVAC equipment waste heat recovery system.

[0046] For more information about the HVAC equipment waste heat recovery system 100, please refer to Figures 2 to 5 Related description.

[0047] It should be noted that the above description of the waste heat recovery system of HVAC equipment and its modules is only for the convenience of description and cannot limit this specification to the scope of the embodiments. It is understandable that for those skilled in the art, after understanding the principle of the system, it is possible to arbitrarily combine the modules or form a subsystem connected with other modules without deviating from this principle.

[0048] Figure 2 is an exemplary flow chart of a method for recycling waste heat of a HVAC equipment according to some embodiments of this specification. In some embodiments, process 200 may be executed by a processor of a HVAC equipment waste heat recycling system. Figure 2 As shown, process 200 includes the following steps:

[0049] Step 210, based on at least one of the supply air temperature and the exhaust air temperature, evaluate the heat recovery capacity of the waste heat recycling.

[0050] The supply air temperature refers to the temperature of the outdoor fresh air delivered into the room by the air supply device.

[0051] Exhaust air temperature refers to the temperature of the old indoor air discharged by the exhaust device.

[0052] In some embodiments, the processor can obtain the supply air temperature and exhaust air temperature based on the temperature monitoring device. For example, the processor can determine the temperature monitored by the temperature monitoring device deployed at the air outlet of the air supply device as the supply air temperature; and determine the temperature monitored by the temperature detection device deployed at the air inlet of the exhaust device as the exhaust air temperature. For more information about the temperature detection device, the air supply device, and the exhaust device, please refer to Figure 1 and its related description.

[0053] The supplementary heating capacity refers to the ability to supplement the heating of fresh air by recycling waste heat. In some embodiments, the supplementary heating capacity can be the heating power of active heating equivalent to supplementary heating. Among them, active heating refers to a heating method for heating fresh air by traditional means such as electric energy, and supplementary heating refers to a heating method for heating fresh air by using heat recovered from waste heat. For example, the heating effect of supplementary heating on fresh air is equivalent to the active heating effect of heating with a power of 30kw, and the supplementary heating capacity can be 30kw.

[0054] In some embodiments, the processor may evaluate the heat recovery capacity of waste heat recycling in a variety of ways based on at least one of the supply air temperature and the exhaust air temperature.

[0055] For example, the processor may determine the heat replenishment capacity of waste heat recycling by querying the first preset table. The first preset table may include a comparison relationship between different supply air temperatures, different exhaust air temperatures and heat replenishment capacity, and the first preset table may be determined based on historical data. For example, the processor may record the heat replenishment capacity at different supply air temperatures and different exhaust air temperatures in a large amount of historical data, and establish the first preset table based on the comparison relationship between different supply air temperatures, different exhaust air temperatures and heat replenishment capacity.

[0056] In some embodiments, the processor may also dynamically obtain the latest exhaust parameters based on a preset period, and dynamically determine the current heat supplement capacity through a conversion coefficient based on the latest exhaust parameters.

[0057] The preset cycle refers to the preset cycle for obtaining the latest exhaust parameters.

[0058] In some embodiments, the processor may determine the preset period in a variety of ways. For example, the processor may determine the period input by the user through the user terminal as the preset period. The preset period may also be determined by a technician based on historical experience.

[0059] In some embodiments, the predetermined period may be related to the similarity between future fluctuation conditions and historical fluctuation conditions.

[0060] Future fluctuations refer to fluctuations in data related to future user settings. For example, future fluctuations may include fluctuations in the temperature set in the future time period, fluctuations in the set time points, and the like. In some embodiments, the processor may determine future fluctuations based on a variety of methods. For example, the processor may determine the variance of the temperature data set in the future user settings as the fluctuations in the temperature set in the future time period in the future fluctuations. For another example, the processor may determine the fluctuations in the time points set in the future time period based on the density of the time points set in the future time period. Exemplarily, the denser the time points set in the future time period, the greater the fluctuations in the time points set in the future time period.

[0061] Historical fluctuations refer to fluctuations in data related to historical user settings. For example, historical fluctuations may include fluctuations in set temperatures and set time points in historical data. The method for determining historical fluctuations is similar to the method for determining future fluctuations. Figure 2 Related description in the previous article.

[0062] For more information about historical user settings and future user settings, see Figure 3 and Figure 5 Related description.

[0063] Similarity refers to the degree of similarity between the future fluctuation situation and the historical fluctuation situation. In some embodiments, the processor may determine the similarity through a first preset rule based on the ratio between the future fluctuation situation and the historical fluctuation situation. The first preset rule refers to a pre-set rule for determining the similarity. An exemplary first preset rule may be: the closer the aforementioned ratio is to 1, the greater the similarity.

[0064] In some embodiments, the length of the preset period may be positively correlated with the similarity; the greater the similarity, the longer the length of the preset period may be.

[0065] In some embodiments, the processor may adjust the preset period based on the similarity through a second preset rule. The second preset rule refers to a pre-set rule for adjusting the preset period. An exemplary second preset rule may be: the higher the similarity, the longer the preset period may be appropriately increased by the processor.

[0066] In some embodiments of the present specification, the preset period is related to the similarity between future fluctuations and historical fluctuations. When the similarity is high, the exhaust air temperature and supply air temperature in the historical data can be referred to to a large extent to determine the supplementary heating capacity, and a longer preset period will not affect the accuracy of the determination of the supplementary heating capacity. When the similarity is low, it is necessary to refer to the newer exhaust air temperature and supply air temperature as much as possible, and appropriately reducing the preset period can improve the accuracy of the determination of the supplementary heating capacity, which is conducive to further determining more accurate active heating parameters in the future.

[0067] The latest exhaust air parameter refers to the exhaust air related parameter acquired most recently. In some embodiments, the latest exhaust air parameter may include the latest exhaust air temperature and / or the latest exhaust air speed.

[0068] The latest exhaust air temperature refers to the exhaust air temperature obtained most recently.

[0069] The latest exhaust air speed refers to the exhaust air speed obtained most recently.

[0070] In some embodiments, the processor can dynamically obtain the latest exhaust parameters through the temperature monitoring device and / or the airflow sensor based on a preset period. For example, the processor can determine the exhaust temperature last monitored by the temperature monitoring device based on a preset period as the latest exhaust temperature; and determine the exhaust speed last monitored by the airflow sensor based on a preset period as the latest exhaust speed. For more information about the temperature monitoring device and the airflow sensor, please refer to Figure 1 and its related description.

[0071] The conversion coefficient is a coefficient used to characterize the degree of waste heat recovery of the exhausted old air by the heat exchange device. The higher the conversion coefficient, the higher the degree of waste heat recovery.

[0072] In some embodiments, the processor may determine the conversion coefficient through a third preset rule based on the exhaust air temperature, the supply air temperature, and the active heating parameter. The third preset rule refers to a pre-set rule for determining the conversion coefficient. An exemplary third preset rule may be: the higher the exhaust air temperature and the lower the equivalent temperature of the active heating parameter, the higher the corresponding conversion coefficient. For example, the conversion coefficient may be determined by the following formula: conversion coefficient = (supply air temperature − equivalent temperature of active heating parameter) / exhaust air temperature.

[0073] The equivalent temperature of the active heating parameter refers to the temperature of the fresh air after heating by the active heating parameter without waste heat recycling. The equivalent temperature of the active heating parameter can be determined based on historical data. For example, the processor can determine the equivalent temperature of the active heating parameter by querying the second preset table. The second preset table may include a comparison relationship between different active heating parameters and equivalent temperatures, and the second preset table may be determined based on historical data. For more information about the active heating parameter, please refer to Figure 2 Related description in the following text.

[0074] For example, the exhaust air temperature is 28°C, and the monitored supply air temperature is 26°C; at this time, the equivalent temperature of the active heating parameter is 23°C, and the conversion coefficient is (26-23) / 28.

[0075] In some embodiments, the conversion coefficient may be an empirical value, and the processor may perform statistics on a large amount of historical data to obtain different conversion coefficients corresponding to different exhaust air temperatures.

[0076] In some embodiments, the processor may obtain historical heating data, match the historical heating data based on the waste heat recycling duration, determine multiple groups of waste heat recycling records, and then determine the conversion coefficient.

[0077] Historical heating data refers to historical data related to heating. In some embodiments, the historical heating data may include at least one of historical exhaust air temperature, historical supply air temperature, and historical active heating parameters. For details about active heating parameters, see Figure 2 Related description in the following text.

[0078] In some embodiments, the processor may obtain historical heating data stored in a storage device through a network.

[0079] The waste heat recovery time refers to the time required to recover the waste heat from the exhausted old air and heat the fresh air.

[0080] In some embodiments, the processor may preset the waste heat recovery time based on historical experience or equipment operation data. Equipment operation data refers to operation data related to the waste heat recovery system of the HVAC equipment, such as

[0081] The flow rate of the old air and the distance the old air travels from the exhaust port of the exhaust device to the supplementary heating.

[0082] For example, the processor may calculate the waste heat recycling time using a distance formula based on the flow rate of the old air in the process of flowing from the exhaust port of the exhaust device to the supplementary heating and the length of the distance the old air has traveled.

[0083] The waste heat recycling record refers to the record information related to the waste heat recycling. In some embodiments, each set of waste heat recycling records may include the supply air temperature, exhaust air temperature and active heating parameters corresponding to a waste heat recycling time.

[0084] In some embodiments, the processor can match the historical heating data based on the waste heat reuse time to determine multiple groups of waste heat reuse records. Exemplarily, the processor can match the historical supply air temperature at the second historical moment, the historical active heating parameters, and the historical exhaust air temperature at the first historical moment into a group of waste heat reuse records. Among them, the first historical moment is earlier than the second historical moment, and the interval between the first historical moment and the second historical moment is the waste heat reuse time. For example, the second historical moment is t0, and the waste heat reuse time is t, then the first historical moment is (t0-t), and the processor can match the historical exhaust air temperature at (t0-t), the historical supply air temperature at t0, and the historical active heating parameters into a group of waste heat reuse records.

[0085] In some embodiments, the processor may determine the conversion coefficient corresponding to the set of waste heat recycling records based on the waste heat recycling records. For example, the processor may determine the ratio of the historical temperature difference corresponding to a set of waste heat recycling records to the historical exhaust air temperature as the conversion coefficient corresponding to the set of waste heat recycling records. The historical temperature difference refers to the temperature difference between the historical supply air temperature corresponding to the waste heat recycling record and the equivalent temperature of the historical active heating parameters. For more information about the equivalent temperature of the active heating parameters, please refer to Figure 2 Related description in the previous article.

[0086] In some embodiments, the processor may construct a third preset table based on multiple sets of waste heat recycling records and their corresponding conversion coefficients. The third preset table may include historical exhaust air temperatures in multiple sets of waste heat recycling records and their corresponding conversion coefficients. The processor may determine the conversion coefficient by querying the third preset table according to the exhaust air temperature.

[0087] In some embodiments, the processor may also determine a conversion coefficient based on a conversion model. For more information, see Figure 3 and its related description.

[0088] It takes a certain amount of time to recycle waste heat. The current supply air temperature actually uses the old air before the waste heat recycling time for supplementary heating. That is, for waste heat recycling, the supply air temperature is actually delayed from the exhaust air temperature. The conversion coefficient determined based on the supply air temperature and exhaust air temperature at the same time is not accurate. In some embodiments of this specification, by matching historical heating data based on the waste heat recycling time, and then determining the conversion coefficients corresponding to multiple groups of waste heat recycling records, the exhaust air temperature of waste heat recycling can be matched with the actual supply air temperature, thereby improving the accuracy of the conversion coefficient determination.

[0089] The current heat recovery capacity refers to the heat recovery capacity of waste heat at the current moment.

[0090] In some embodiments, the processor may dynamically determine the current supplementary heating capacity through a conversion coefficient based on the latest exhaust air parameters. The processor may determine the current supplementary heating capacity based on a fourth preset rule. The fourth preset rule refers to a pre-set rule for determining the current supplementary heating capacity. An exemplary fourth preset rule may be: the larger the conversion coefficient, the larger the latest exhaust air parameter, and the higher the corresponding current supplementary heating capacity. For example, the current supplementary heating capacity may be determined by the following formula: current supplementary heating capacity = conversion coefficient × latest exhaust air speed × latest exhaust air temperature × k. Wherein, k is a constant, which may be preset by the system or manually based on historical experience.

[0091] The heating capacity of waste heat recycling changes dynamically due to user settings and indoor temperature. In some embodiments of this specification, the latest exhaust parameters are obtained through a preset period, and the current heating capacity is determined by a conversion coefficient. This can quickly and accurately determine the actual heating capacity at the current moment, which is helpful for the subsequent accurate determination of active heating parameters.

[0092] Step 220, determining active heating parameters of the HVAC equipment based on the supplementary heat capacity.

[0093] Active heating parameters refer to parameters related to active heating. For example, active heating parameters may include active heating power.

[0094] In some embodiments, the processor can determine the active heating parameters in a variety of ways based on the supplementary heating capacity. For example, the processor can determine the standard heating power based on the user settings, and determine the difference between the standard heating power and the supplementary heating capacity as the active heating parameter. The standard heating power refers to the power required to raise the fresh air to the temperature set by the user. The processor can calculate the heating capacity based on the user settings, and determine the standard heating power through the electric power calculation formula. For more information about user settings, please refer to Figures 3 to 5 Related description.

[0095] In some embodiments, the processor can also determine active heating parameters based on the prediction model. For more information, see Figure 5and its related description.

[0096] Step 230: Determine the heat compensation capacity gain corresponding to the candidate pressurization parameter based on the exhaust air temperature.

[0097] The candidate pressurization parameters refer to parameters of the pressurization device as a candidate, wherein the pressurization parameters refer to parameters related to the operation of the pressurization device, for example, the pressurization parameters may include but are not limited to the pressure magnitude.

[0098] For instructions on the pressurization device, see Figure 1 and its related description.

[0099] In some embodiments, the processor may randomly select a preset number of historical pressurization parameters from historical data as candidate pressurization parameters, wherein the preset number may be preset by the system or manually, and the candidate pressurization parameters may also be determined based on historical experience.

[0100] The heat supplement capacity gain refers to the gain value of the heat supplement capacity brought by the pressurizing device. In some embodiments, the heat supplement capacity gain can be the difference between the heat supplement capacity using the pressurizing device and the heat supplement capacity not using the pressurizing device.

[0101] In some embodiments, the processor may determine the supplemental heating capacity gain corresponding to the candidate pressurization parameters based on the exhaust air temperature.

[0102] In some embodiments, the processor may calculate the supplementary heating capacity of the old air after pressurizing the old air using different candidate pressurization parameters at different exhaust air temperatures based on historical data. The processor may determine the difference between the supplementary heating capacity of the old air after pressurizing the old air using the candidate pressurization parameters and the supplementary heating capacity when no pressurization device is used as the supplementary heating capacity gain corresponding to the candidate pressurization parameters.

[0103] Step 240 : determining target pressurization parameters based on the heat supplementation capacity gain and the pressurization power consumption.

[0104] The target pressurization parameters refer to the pressurization parameters used by the pressurization device during actual operation.

[0105] The pressurization power consumption refers to the power consumption of the pressurization device for pressurizing the air. In some embodiments, the processor may determine the pressurization power consumption based on the correspondence between the candidate pressurization parameters and the pressurization power consumption. An exemplary correspondence may be: the larger the candidate pressurization parameter, the greater the pressurization power consumption.

[0106] In some embodiments, the processor may determine the target pressurization parameter based on the supplementary heat capacity gain and the pressurization power consumption. For example, the processor may determine the candidate pressurization parameter whose pressurization power consumption is not greater than the supplementary heat capacity gain as the target pressurization parameter.

[0107] In some embodiments of the present specification, the heat recovery capacity of waste heat recycling is evaluated by at least one of the supply air temperature and the exhaust air temperature; and based on the heat recovery capacity, the active heating parameters of the HVAC equipment are determined; based on the exhaust air temperature, the heat recovery capacity gain corresponding to the candidate pressurization parameters is determined, and the target pressurization parameters are determined, so that the heat recovery capacity can be accurately evaluated, and the active heating power can be adjusted at the same time, so that the heat output of the HVAC equipment can be consistent with the heat required by the user, thereby improving the waste heat utilization rate while improving the user experience, and helping to improve the effect of energy conservation and emission reduction.

[0108] It should be noted that the above description of the relevant process is only for example and explanation, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the process under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0109] Figure 3 is an exemplary schematic diagram of a conversion model according to some embodiments of the present specification.

[0110] In some embodiments, the processor may also input the outdoor environment 310 , user settings 320 , supply air temperature 330 , exhaust air temperature 340 , active heating parameters 350 , and space dimensions 360 into a conversion model 370 to determine a conversion coefficient 380 .

[0111] The conversion model 370 refers to a model for determining the conversion coefficient. In some embodiments, the conversion model 370 may include a machine learning model, such as a neural network model (NN), a recurrent neural network (RNN), and the like.

[0112] In some embodiments, the input of the conversion model 370 may include outdoor environment 310, user settings 320, supply air temperature 330, exhaust air temperature 340, active heating parameters 350, and space size 360; the output may include conversion coefficient 380. For more information about supply air temperature 330, exhaust air temperature 340, and active heating parameters 350, see Figure 2 Related description in the previous article.

[0113] The outdoor environment refers to data related to the outdoor environment. For example, the outdoor environment 310 may include outdoor ambient temperature, outdoor ambient humidity, and the like.

[0114] In some embodiments, the processor may access a weather information website through a network, and determine the read data related to the outdoor environment as the outdoor environment.

[0115] User settings refer to information data related to indoor temperature set by the user. For example, user settings may include the temperature set by the user, the adjustment range of the temperature by the user, the time point of the temperature setting by the user, etc.

[0116] In some embodiments, the processor may interact with the user terminal directly through a network, and determine the information data related to the indoor temperature input by the user into the user terminal as the user setting.

[0117] The space size 360 ​​refers to data related to the size of the heating space. For example, the space size data may include data such as the shape, length, width, and height of the heating space.

[0118] In some embodiments, the processor may interact with the user terminal based on a network to obtain the space size pre-input into the user terminal by the user.

[0119] In some embodiments, the processor may train the initial conversion model based on the first training sample with the first label to obtain the conversion model. For example, the processor may input a plurality of first training samples with the first label into the initial conversion model, construct a loss function through the first label and the prediction result of the initial conversion model, update the initial conversion model based on the iteration of the loss function, and complete the training when the loss function of the initial conversion model meets the preset condition, wherein the preset condition may be that the loss function converges, the number of iterations reaches a threshold, etc.

[0120] In some embodiments, the first training sample may include multiple sets of waste heat recycling records. In some embodiments, the processor may match the historical heating data to the waste heat recycling records to obtain multiple sets of waste heat recycling records in the first training sample.

[0121] In some embodiments, the historical heating data may further include at least one of historical outdoor environment, historical user settings, and historical space size.

[0122] In some embodiments, the processor may obtain historical outdoor environments, historical user settings, and historical space dimensions in historical data based on a storage device.

[0123] In some embodiments, the processor can match the historical outdoor environment, historical user settings, and historical space size into the waste heat recycling record based on the waste heat recycling duration. For example, the processor can match the historical outdoor environment, historical user settings, and historical space size at the second historical moment to the active heating parameters, supply air temperature at the second historical moment, and the waste heat recycling record where the exhaust air temperature at the first historical moment is located. Figure 1 The process of matching historical heating data into waste heat recovery records is similar to the previous one. For more information about the first historical moment and the second historical moment, see Figure 1 Related description in the previous article.

[0124] In some embodiments, the first label may include a historical conversion coefficient corresponding to each group of training samples in the first training sample. In some embodiments, the first label may be obtained based on historical data.

[0125] The heat exchange device uses the recovered waste heat to heat the fresh air through heat exchange. The temperature and humidity of the outdoor fresh air itself are different, the heat transfer efficiency during heat exchange is also different, and the amount of heat that can be exchanged is also different; the user settings are different, the required heating time is different, and the amount of heat that can be exchanged by heat exchange is also different; the space size affects the circulation and change of temperature and the heat of the old air discharged, etc., which in turn affects the conversion coefficient. In some embodiments of this specification, through the conversion model, the conversion coefficient can be determined based on multi-dimensional data such as outdoor environment, user settings, space size, supply air temperature, exhaust air temperature, and active heating parameters at the same time, which can not only predict the conversion coefficient corresponding to the situation that has not appeared in the historical data, but also improve the efficiency and accuracy of the conversion model determination.

[0126] Figure 4 It is an exemplary schematic diagram of determining active heating parameters according to some embodiments of this specification.

[0127] In some embodiments, the processor may obtain the user settings 320 , and determine the active heating parameters 350 based on the user settings 320 and the current supplemental heating capacity 410 .

[0128] For a description of the current supplementary heating capacity 410 and its acquisition, and the active heating parameter 350, see Figure 2 For details about user settings 320 and how to obtain them, see Figure 3 and its related description.

[0129] In some embodiments, the processor can determine the active heating parameter in a variety of ways based on the user settings and the current supplementary heating capacity. For example, the processor can determine the standard heating power according to the user settings, and determine the difference between the standard heating power and the current supplementary heating capacity as the active heating parameter. For more information about the standard heating power, see Figure 2 Related description in the previous article.

[0130] In some embodiments, the active heating parameters may also be related to the change in the conversion coefficient. The processor may obtain multiple conversion coefficients 420 for a preset time period, determine the change 430 of the conversion coefficient based on the multiple conversion coefficients 420 for the preset time period, and adjust the active heating parameters 350 based on the change 430.

[0131] The preset period refers to a preset period, which can be based on the system or manually preset. The duration of the preset period is greater than the waste heat recovery time. The preset period can include multiple conversion coefficients.

[0132] In some embodiments, the processor may determine the conversion coefficients corresponding to the multiple groups of waste heat recovery records within a preset period of time, and obtain multiple conversion coefficients 420 for the preset period of time. The method of determining the conversion coefficient is similar to the method of determining the conversion coefficient in the previous text, which can be seen in Figure 2 and Figure 3 Related description.

[0133] The change condition 430 refers to the change condition of the multiple conversion coefficients 420 in the preset period. For example, the change condition may include the number of changes and the magnitude of changes of the multiple conversion coefficients in the preset period. In some embodiments, the processor may perform statistical analysis on the multiple conversion coefficients in the preset period to obtain the change condition.

[0134] In some embodiments, the active heating parameter may be positively correlated with the change of the conversion coefficient. For example, the more times the change occurs and the greater the change amplitude, the greater the corresponding active heating parameter may be.

[0135] In some embodiments, the processor can adjust the active heating parameters based on the change. For example, when the change meets the preset conditions, the processor can appropriately increase the active heating parameters. For more information about the preset conditions, see Figure 4 Related descriptions are given below.

[0136] When the conversion coefficient changes greatly, the stability of the heat supply capacity is poor, and insufficient heat supply may occur. In some embodiments of this specification, active heating parameters are adjusted based on the changes, which can ensure the user's heating needs, improve the stability of heating, and enhance the user experience.

[0137] In some embodiments of the present specification, active heating parameters are determined based on user settings and current supplementary heating capacity, which can more accurately determine the active heating parameters required for current heating, help ensure the user's heating needs, and improve the stability of heating.

[0138] In some embodiments, in response to the change satisfying the preset condition, the processor can determine the active heating parameters based on the output power of the heat storage device. For more information about the heat storage device, see Figure 1 and its related description.

[0139] The preset condition refers to a condition set in advance for judging the change situation. Exemplary preset conditions may be: the number of changes in the change situation exceeds the number threshold and / or the change amplitude exceeds the amplitude threshold, etc. The number threshold and the amplitude threshold may be determined based on historical experience.

[0140] Output power refers to the power of the heat storage device outputting heat when the heat storage device is sufficient. In some embodiments, the processor can determine the output power according to the design performance of the heat storage device.

[0141] In some embodiments, the processor may determine the active heating parameter based on the output power of the heat storage device. For example, the processor may determine the difference between the standard heating power and the output power as the active heating parameter. The method for determining the active heating parameter is similar to the method for determining the active heating parameter described above, which can be seen in Figure 2 as well as Figure 4 Related description in the previous article.

[0142] In some embodiments of the present specification, when the heat supplement is unstable, the heat supplement is stabilized by a heat storage device, and the active heating parameters are determined based on the output power, so that the determination of the active heating parameters can be flexibly applied to a variety of heat supplement situations.

[0143] Figure 5 This is an exemplary schematic diagram of determining active heating parameters based on a prediction model according to some embodiments of this specification.

[0144] In some embodiments, the processor may obtain a user setting sequence 510 and a supply air temperature sequence 520, and predict the user's future user setting 540 and future exhaust air temperature 550 through a prediction model 530; based on the future user setting 540, evaluate the user's future heating demand 560; based on the future exhaust air temperature 550, predict the future supplementary heating capacity 570; and determine the active heating parameter 350 based on the user's future heating demand 560 and future supplementary heating capacity 570. For relevant descriptions of active heating parameters, see Figure 2 and its related description.

[0145] The user setting sequence 510 refers to a sequence composed of a plurality of user settings arranged in time.

[0146] The supply air temperature sequence 520 is a sequence consisting of a plurality of supply air temperatures arranged in time.

[0147] In some embodiments, the processor may determine, based on historical data, a plurality of user settings arranged in time as a user setting sequence, and a plurality of supply air temperatures arranged in time as a supply air temperature sequence.

[0148] It should be noted that the aforementioned historical data is historical data that is relatively close to the current time, such as historical data within the current day.

[0149] Prediction model 530 refers to a model used to determine future user settings 540 and future exhaust air temperature 550 .

[0150] In some embodiments, the prediction model 530 may be a machine learning model. For example, the prediction model 530 may be a long short-term memory neural network (LSTM).

[0151] In some embodiments, the prediction model 530 inputs may include a user setting sequence 510 and a supply air temperature sequence 520 ; the outputs may include future user settings 540 and future exhaust air temperature 550 .

[0152] Future user settings 540 refer to user settings for a future period. For more information about user settings, see Figure 3 and its related description.

[0153] The future exhaust air temperature 550 refers to the exhaust air temperature in the future period. For more information about exhaust air temperature, see Figure 2 and its related description.

[0154] It should be noted that the future time period refers to a future time period close to the current time, for example, the next ten minutes.

[0155] In some embodiments, the prediction model 530 can be trained based on the second training sample with the second label. The training method of the prediction model is similar to the training method of the conversion model. For more information, see Figure 3 and its related description.

[0156] In some embodiments, the second training sample may include a sample user setting sequence and a sample air supply temperature sequence in the first historical period, and the second training sample may be acquired based on historical data.

[0157] In some embodiments, the second label may include the actual user settings and the actual exhaust temperature of the second historical period corresponding to the second training sample. The second label may be acquired based on historical data. The first historical period is earlier than the second historical period.

[0158] Future heating demand 560 refers to the demand related to heating in the future period. For example, the future heating demand may include the standard heating power in the future period. For more information about the standard heating power, see Figure 2 and its related description.

[0159] In some embodiments, the processor can evaluate the future heating demand based on the future user settings. For example, the processor can determine the heating amount in the future time period based on the temperature set by the future user, and then determine the future heating demand through the electric power calculation formula.

[0160] The future heating capacity 570 is the heating capacity in the future period. For more information about heating capacity, see Figure 2 and its related description.

[0161] In some embodiments, the processor may predict the future supplementary heating capacity based on the future exhaust air temperature. The method of predicting the future supplementary heating capacity is similar to the method of determining the supplementary heating capacity based on the exhaust air temperature. For more information, see Figure 2 and its related description.

[0162] In some embodiments, the processor may determine the active heating parameter based on the future heating demand and the future supplementary heating capacity. For example, the processor may determine the difference between the future heating demand and the future supplementary heating capacity as the active heating parameter.

[0163] The user's demand for heating does not remain constant. In some embodiments of this specification, the user's heating demand is predicted, and active heating parameters are dynamically determined in combination with the user's demand and the supplementary heating capacity, so that HVAC heating can directly meet the user's demand, reduce the number of user settings, save energy, and reduce the system operation load.

[0164] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements and corrections to this specification. Such modifications, improvements and corrections are suggested in this specification, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0165] At the same time, this specification uses specific words to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of this specification can be appropriately combined.

[0166] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this specification, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and laminar flow hoods in this specification. Although the above disclosure discusses some of the invention embodiments currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

[0167] Similarly, it should be noted that in order to simplify the description disclosed in this specification and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this specification, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0168] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0169] Each patent, patent application, patent application publication, and other materials, such as articles, books, specifications, publications, documents, etc., cited in this specification is hereby incorporated by reference in its entirety. Except for application history documents that are inconsistent with or conflicting with the contents of this specification, documents that limit the broadest scope of the claims of this specification (currently or later attached to this specification) are also excluded. It should be noted that if the descriptions, definitions, and / or use of terms in the materials attached to this specification are inconsistent or conflicting with the contents described in this specification, the descriptions, definitions, and / or use of terms in this specification shall prevail.

[0170] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A HVAC equipment management and control system, characterized in that: include: Air supply device, exhaust device, heat exchange device, temperature monitoring device and processor; The air supply device is configured to deliver outdoor fresh air into the room; The exhaust device is configured to exhaust old air in the room to the outside; The heat exchange device comprises a pressurizing device, a multi-tube heat exchanger and a heat storage device, wherein: The pressurizing device is configured to pressurize the old air exhausted by the exhaust device based on the target pressurizing parameter to obtain pressurized air. The multi-tube bundle heat exchanger is configured to absorb heat from the pressurized air and perform supplementary heating on the fresh air based on the absorbed heat; The heat storage device is configured to store thermal energy; The temperature monitoring device is deployed at the air outlet of the air supply device and the air inlet of the exhaust device, and the temperature monitoring device is configured to obtain the supply air temperature and the exhaust air temperature; The processor is configured to: Acquire historical heating data, match the historical heating data based on the waste heat recycling duration, determine multiple groups of waste heat recycling records, and determine a conversion coefficient based on the multiple groups of waste heat recycling records, wherein the conversion coefficient is used to characterize the degree of waste heat recycling of the exhausted old air by the heat exchange device, wherein the historical heating data includes at least one of historical exhaust air temperature, historical supply air temperature, and historical active heating parameters; Based on a preset period, the latest exhaust parameters are dynamically acquired. Based on the latest exhaust parameters, the current supplementary heat capacity is dynamically determined through the conversion coefficient. The supplementary heat capacity is the ability to supplement heating of the fresh air by recycling waste heat. The preset period is related to the similarity between future fluctuations and historical fluctuations. The future fluctuations refer to the fluctuations of data related to future user settings. The historical fluctuations refer to the fluctuations of data related to historical user settings. The latest exhaust parameters include the latest exhaust temperature and / or the latest exhaust speed. Based on the current supplementary heating capacity, determining active heating parameters of the HVAC equipment, where active heating is a heating method that heats the fresh air by using electrical energy; and In response to the change in the conversion coefficient meeting a preset condition, the heat exchange device stores the heat in the exhausted old air in the heat storage device, and the heat storage device uniformly outputs the heat to heat the fresh air.

2. The system according to claim 1, characterized in that The system further comprises an air flow sensor; the air flow sensor is disposed at an exhaust port of the exhaust device, and the air flow sensor is configured to monitor exhaust air velocity.

3. The system according to claim 1, characterized in that The processor is further configured to: Get user settings; The active heating parameters are determined based on the user settings and the current supplementary heating capacity.

4. The system according to claim 1, characterized in that The processor is further configured to: Obtaining multiple conversion coefficients for a preset time period; determining the change based on the plurality of conversion coefficients; The active heating parameters are adjusted based on the changes.

5. The system according to claim 1, characterized in that The processor is further configured to: Based on the exhaust air temperature, determining a heat supplement capacity gain corresponding to the candidate pressurization parameter, wherein the heat supplement capacity gain is a gain value of the heat supplement capacity brought by the pressurization device; The target pressurization parameter is determined based on the heat supplement capacity gain and the pressurization power consumption.

6. A method for controlling HVAC equipment, characterized in that: Executed by the processor of the HVAC equipment control system according to claim 1, comprising: Acquire historical heating data, match the historical heating data based on the waste heat recycling time, determine multiple groups of waste heat recycling records, and determine a conversion coefficient based on the multiple groups of waste heat recycling records, wherein the conversion coefficient is used to characterize the degree of waste heat recycling of the exhausted old air by the heat exchange device, wherein the historical heating data includes at least one of historical exhaust air temperature, historical supply air temperature, and historical active heating parameters; Based on a preset period, the latest exhaust parameters are dynamically obtained. Based on the latest exhaust parameters, the current supplementary heat capacity is dynamically determined through the conversion coefficient. The supplementary heat capacity is the ability to supplement heating of fresh air by recycling waste heat. The preset period is related to the similarity between future fluctuations and historical fluctuations. The future fluctuations refer to the fluctuations of data related to future user settings. The historical fluctuations refer to the fluctuations of data related to historical user settings. The latest exhaust parameters include the latest exhaust temperature and / or the latest exhaust speed. Based on the current supplementary heating capacity, determining active heating parameters of the HVAC equipment, where active heating is a heating method that heats the fresh air by using electrical energy; and In response to the change in the conversion coefficient meeting a preset condition, the heat in the exhausted old air is stored in the heat storage device based on the heat exchange device, and the heat storage device uniformly outputs the heat to heat the fresh air.

7. The method according to claim 6, characterized in that The method further comprises: Get user settings; The active heating parameters are determined based on the user settings and the current supplementary heating capacity.

8. The method according to claim 6, characterized in that The method further comprises: Acquire multiple conversion coefficients for a preset time period; determine the change based on the multiple conversion coefficients; and adjust the active heating parameter based on the change.

9. The method according to claim 6, characterized in that The method further comprises: Based on the exhaust air temperature, determining a heat supplement capacity gain corresponding to the candidate pressurization parameter, wherein the heat supplement capacity gain is a gain value of the heat supplement capacity brought by the pressurization device; Based on the heat supplement capacity gain and the pressurization power consumption, a target pressurization parameter is determined.

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