A control system for adjusting indoor temperature and humidity according to outdoor environment

Abstract

The application discloses a control system for adjusting indoor temperature and humidity according to outdoor environment, and relates to the technical field of indoor temperature and humidity control. The system continuously collects outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp and indoor relative humidity Irh through an environment collection and processing module, calculates outdoor dew point Odp and indoor dew point Idp to form an environment data set Dat, compares the outdoor dew point Odp and the indoor dew point Idp, and outputs a dew point state Dps. The system can identify the dew point inversion situation that the outdoor high-humidity air will soon impact the indoor environment. The dew point state Dps generates a morning temperature and humidity coordination preprocessing strategy Pre containing fresh air ratio Nvr, temperature target Ttg and humidity target Htg. According to the strategy, the indoor temperature and humidity are controlled, the fresh air introduction rhythm is coordinated with the temperature and humidity setting targets in the morning stage, so that the sudden increase of humidity in the morning caused by passive temperature adjustment and the problem of feeling cold and humid are avoided.

Description

Technical Field

[0001] This invention relates to the field of indoor temperature and humidity control technology, specifically to a control system that adjusts indoor temperature and humidity according to the outdoor environment. Background Technology

[0002] In the field of building environment control technology, an increasing number of control systems are relying on outdoor meteorological conditions to adjust indoor temperature and humidity in conjunction with outdoor conditions, in order to improve operational stability and energy efficiency while ensuring comfort. Indoor temperature and humidity control systems are commonly used in HVAC systems of office buildings, public buildings, and residential buildings, dynamically influencing indoor air treatment strategies by collecting outdoor temperature, humidity, and related meteorological parameters.

[0003] In the early morning hours of spring and autumn, the outdoor dew point temperature is often higher than the indoor air dew point temperature at night. When conventional fresh air systems introduce outdoor air according to a predetermined time strategy or solely based on temperature difference, a large amount of highly humid air enters the indoor space in a short period. Most existing control systems adjust based on comparisons of indoor and outdoor temperatures or simple humidity thresholds, lacking a real-time identification and prediction mechanism for dew point relationships, and thus failing to assess potential humidity surge risks before fresh air is introduced. Under this control mode, the system often passively initiates the dehumidification process only after humidity has already risen, resulting in significant lag in adjustment and difficulty in maintaining stable temperature and humidity in the early morning. Therefore, a control scheme is needed that can identify the dew point inversion state and implement coordinated temperature and humidity pretreatment in advance. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a control system that adjusts indoor temperature and humidity based on outdoor environment, thus solving the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solution: a control system for adjusting indoor temperature and humidity according to the outdoor environment, comprising an environmental acquisition and processing module, a dew point inversion identification module, a morning preprocessing decision module, and an execution evaluation module;

[0006] The environmental acquisition and processing module is used to collect outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh, and calculate outdoor dew point Odp and indoor dew point Idp, and integrate them to form an environmental dataset Dat;

[0007] The dew point inversion identification module compares the outdoor dew point Odp and the indoor dew point Idp during the early morning period based on the environmental dataset Dat, identifies the dew point inversion state, and outputs the dew point state Dps.

[0008] The morning pre-processing decision module generates a morning temperature and humidity coordinated pre-processing strategy Pre based on the dew point state Dps. The pre-processing strategy Pre includes the fresh air ratio Nvr, the temperature target Ttg, and the humidity target Htg.

[0009] The execution evaluation module controls the indoor temperature and humidity according to the preprocessing strategy Pre.

[0010] Preferably, the environmental acquisition and processing module includes a data acquisition unit;

[0011] The data acquisition unit is used to acquire raw indoor and outdoor environmental parameters and construct a raw sampling data set (Raw).

[0012] Specifically, outdoor temperature Otp and outdoor relative humidity Orh are collected in real time through outdoor environmental sensing components, and indoor temperature Itp and indoor relative humidity Irh are collected in real time through indoor environmental sensing components.

[0013] The data acquisition is performed using a continuous sampling method with a fixed sampling period.

[0014] Within each sampling period, the data acquisition unit writes the outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh into the time series cache structure and attaches a unified time stamp Tim to form the raw sampled data set Raw with time stamp.

[0015] Preferably, the environmental acquisition and processing module also includes a data processing unit;

[0016] The data processing unit is used to perform preprocessing on the raw sampled data set Raw to form basic environmental data Bas;

[0017] Time alignment processing is performed on each time marker Tim in the raw sampled data set Raw to make the outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh correspond to a unified time base within the same time window;

[0018] When there are missing sample values ​​in any time window, the linear interpolation method of adjacent time samples is used for compensation.

[0019] Smoothing is performed on time-aligned data using a sliding window averaging method.

[0020] Preferably, the environmental acquisition and processing module also includes a dew point calculation unit;

[0021] The dew point calculation unit is used to calculate the dew point temperature based on the temperature and relative humidity parameters in the basic environmental data Bas, and the calculation results are defined as the outdoor dew point Odp and the indoor dew point Idp, respectively.

[0022] Outdoor temperature Otp and outdoor relative humidity Orh are read from the basic environmental data Bas, and the intermediate amount of outdoor air water vapor Log is calculated.

[0023] The intermediate outdoor air water vapor content Log is obtained through the following steps:

[0024] The product of the dew point calculation constant A and the outdoor temperature Otp is divided by the sum of the dew point calculation constant B and the outdoor temperature Otp to obtain the first temperature ratio; the natural logarithm of the result of dividing the outdoor relative humidity Orh by one hundred is performed to obtain the humidity logarithm value; the first temperature ratio and the humidity logarithm value are added together to obtain the outdoor air water vapor intermediate quantity Log.

[0025] The outdoor dew point Cal is calculated based on the outdoor air moisture intermediate quantity Log. The outdoor dew point Cal is obtained through the following steps:

[0026] The product of the dew point calculation constant B and the outdoor air water vapor intermediate quantity Log is used as the numerator; the result of subtracting the outdoor air water vapor intermediate quantity Log from the dew point calculation constant A is used as the denominator; the outdoor dew point calculation value Cal is obtained by dividing the numerator by the denominator.

[0027] Define the calculated outdoor dew point value Cal as the outdoor dew point Odp;

[0028] Then, the indoor temperature Itp and indoor relative humidity Irh are read from the basic environmental data Bas, and the indoor air water vapor intermediate quantity Lin and indoor dew point calculated value Cin are obtained by using the same calculation steps as the outdoor dew point Odp; the indoor dew point calculated value Cin is defined as the indoor dew point Idp.

[0029] Then, the outdoor temperature Otp, outdoor relative humidity Orh, outdoor dew point Odp, indoor temperature Itp, indoor relative humidity Irh, and indoor dew point Idp are structured and integrated to form the environmental dataset Dat.

[0030] Preferably, the dew point inversion identification module includes a morning screening and dew point difference calculation unit;

[0031] The morning screening and dew point difference calculation unit is used to screen data for the morning period from the environmental dataset Dat and calculate the dew point difference between the outdoor dew point Odp and the indoor dew point Idp.

[0032] Specifically, the filtering of data during the early morning period involves reading the time marker Tim from the environmental dataset Dat and matching the time marker Tim with the preset early morning time interval. When the time marker Tim falls within the preset early morning time interval, the corresponding outdoor dew point Odp and indoor dew point Idp are extracted and written into the early morning data set Mor.

[0033] Then, by performing dew point difference calculation on each sampling period in the morning data set Mor, the dew point difference Diif is obtained; the dew point difference Diif is obtained by subtracting the indoor dew point Idp from the outdoor dew point Odp.

[0034] The dew point difference Dif from the continuous time series is integrated to form the dew point difference sequence Seq.

[0035] Preferably, the dew point inversion identification module also includes an inversion determination and status generation unit;

[0036] The inverted hanging determination and state generation unit is used to generate dew point state Dps based on the dew point difference sequence Seq;

[0037] The dew point status Dps includes the inversion flag Flg, the inversion duration Dur, the current dew point difference Dif, and the change status Sta;

[0038] By iterating through each dew point difference Dif in the dew point difference sequence Seq in chronological order and performing continuity checks:

[0039] When the dew point difference Dif is greater than zero, the inverted timer Cnt is started or continues to accumulate.

[0040] When the dew point difference Dif is less than or equal to zero, the inverted timer Cnt is cleared.

[0041] The inverted duration Dur is obtained by multiplying the inverted timer Cnt by the sampling period length;

[0042] When the inverted duration Dur is greater than or equal to the preset judgment time Thr, the inverted flag Flg is set to the established state;

[0043] When the inverted duration Dur is less than the preset judgment time Thr, the inverted flag Flg is set to an invalid state;

[0044] Define the dew point difference Dif corresponding to the most recent sampling period in the dew point difference sequence Seq as the current dew point difference Dif.

[0045] Calculate the difference between the current dew point difference Dif and the dew point difference Dif of the previous sampling period, and obtain the difference value Var.

[0046] When the difference Var is greater than or equal to the preset change threshold Eps, the change state Sta is set to the rising state.

[0047] When the absolute value of the difference Var is less than the preset change threshold Eps, the change state Sta is set to a stable state.

[0048] When the difference Var is less than the negative preset change threshold Eps, the change state Sta is set to a decreasing state.

[0049] Preferably, the morning preprocessing decision module includes a strategy generation unit;

[0050] The strategy generation unit is used to calculate the initial control quantity of the morning temperature and humidity co-treatment strategy based on the dew point state Dps, and generate a candidate strategy set Can;

[0051] First, the inverted duration Dur in the dew point status Dps is read and interval matching is performed with the time-level threshold set Thr to calculate the preprocessed intensity level Lvl.

[0052] The time-level threshold set Thr includes a first time threshold and a second time threshold, wherein the second time threshold is greater than the first time threshold;

[0053] The pretreatment intensity level Lvl is determined according to the following rules:

[0054] When the inverted duration Dur is less than the first time threshold, the preprocessing intensity level Lvl is set to level one;

[0055] When the inverted duration Dur is greater than or equal to the first time threshold and less than the second time threshold, the preprocessing intensity level Lvl is set to level two.

[0056] When the inverted duration Dur is greater than or equal to the second time threshold, the preprocessing intensity level Lvl is set to level three;

[0057] Calculate the grade adjustment amount Adj based on the pretreatment intensity level Lvl and the current dew point difference Dif;

[0058] The grade adjustment amount Adj is obtained by multiplying the current dew point difference Dif by the grade coefficient Klv. The grade coefficient Klv corresponds to the pretreatment intensity grade Lvl and is set in an incremental ratio.

[0059] The fresh air ratio Nvr is obtained by subtracting the level adjustment amount Adj from the preset baseline fresh air ratio Nbs;

[0060] The strategy calculation and generation unit calculates the humidity correction amount Hdf based on the preprocessing intensity level Lvl;

[0061] The humidity correction amount Hdf is obtained by multiplying the baseline humidity target Hbs by the grade percentage Prc, which corresponds to the pretreatment intensity grade Lvl and increases by a fixed percentage.

[0062] The humidity target Htg is obtained by subtracting the humidity correction Hdf from the baseline humidity target Hbs.

[0063] Calculate the temperature target Ttg based on the humidity target Htg: This is done by inputting the humidity target Htg into the preset temperature-humidity mapping function Map;

[0064] The strategy calculation and generation unit combines the fresh air ratio Nvr, the temperature target Ttg, and the humidity target Htg to form a candidate strategy set Can.

[0065] Preferably, the morning preprocessing decision module also includes a strategy constraint integration unit;

[0066] The strategy constraint integration unit is used to perform boundary constraints, change smoothing and temperature and humidity consistency verification on the candidate strategy set Can, and generate an executable early morning temperature and humidity collaborative preprocessing strategy Pre.

[0067] The morning temperature and humidity co-processing pretreatment strategy Pre includes fresh air ratio boundary restriction processing, humidity boundary restriction processing, temperature boundary restriction processing, and rate of change restriction processing.

[0068] Priority is given to implementing fresh air ratio boundary limit processing for NVR;

[0069] When the fresh air ratio Nvr is greater than the maximum ratio boundary Nmx, the fresh air ratio Nvr is set to the maximum ratio boundary Nmx.

[0070] When the fresh air ratio Nvr is less than the minimum ratio boundary Nmn, the fresh air ratio Nvr is set to the minimum ratio boundary Nmn.

[0071] Wherein, the maximum proportional boundary Nmx and the minimum proportional boundary Nmn represent the allowable operating range of the fresh air ratio Nvr;

[0072] Perform humidity boundary constraint processing on the humidity target Htg;

[0073] When the humidity target Htg is greater than the maximum humidity boundary Hmx, the humidity target Htg is set to the maximum humidity boundary Hmx;

[0074] When the humidity target Htg is less than the minimum humidity boundary Hmn, the humidity target Htg is set to the minimum humidity boundary Hmn;

[0075] Wherein, the maximum humidity boundary Hmx and the minimum humidity boundary Hmn represent the allowable control range of the humidity target Htg;

[0076] Perform temperature boundary constraint processing on the temperature target Ttg;

[0077] When the temperature target Ttg is greater than the maximum temperature boundary Tmx, the temperature target Ttg is set to the maximum temperature boundary Tmx;

[0078] When the temperature target Ttg is less than the minimum temperature boundary Tmn, the temperature target Ttg is set to the minimum temperature boundary Tmn;

[0079] Wherein, the maximum temperature boundary Tmx and the minimum temperature boundary Tmn represent the allowable control range of the temperature target Ttg;

[0080] The rate of change of the fresh air ratio Nvr is limited; when the difference between the fresh air ratio Nvr of the current control cycle and the fresh air ratio of the previous control cycle is greater than the ratio change threshold Nst, the current fresh air ratio Nvr is limited to the fresh air ratio of the previous control cycle plus the ratio change threshold Nst.

[0081] Among them, the proportion change threshold Nst represents the maximum allowable change in the fresh air proportion between adjacent control cycles.

[0082] Preferably, the execution evaluation module includes a distribution unit;

[0083] The issuing unit generates corresponding control commands based on the fresh air ratio Nvr, temperature target Ttg, and humidity target Htg in the morning temperature and humidity co-processing pretreatment strategy Pre, and sends the control commands to the indoor air conditioning and fresh air conditioning equipment so that the indoor environment is adjusted according to the pretreatment strategy Pre.

[0084] This invention provides a control system for adjusting indoor temperature and humidity based on outdoor environment, which has the following beneficial effects:

[0085] (1) The environmental acquisition and processing module continuously collects outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp and indoor relative humidity Irh and calculates outdoor dew point Odp and indoor dew point Idp to form an environmental dataset Dat. Then, the dew point inversion identification module compares outdoor dew point Odp and indoor dew point Idp in the early morning and outputs dew point status Dps. It can identify the dew point inversion situation where outdoor high humidity air will impact the indoor environment before the introduction of fresh air in the early morning. On this basis, the early morning preprocessing decision module generates a morning temperature and humidity coordinated preprocessing strategy Pre based on the dew point status Dps, which includes fresh air ratio Nvr, temperature target Ttg and humidity target Htg. The execution evaluation module controls the indoor temperature and humidity adjustment accordingly, so that the fresh air introduction rhythm and temperature and humidity setting target are coordinated in advance in the early morning stage, thereby avoiding the problem of sudden increase in humidity and cold feeling in the early morning caused by the traditional system only passively adjusting based on temperature difference.

[0086] (2) By extracting data within a preset early morning time interval from the environmental dataset Dat and forming an early morning data set Mor, the outdoor dew point Odp and indoor dew point Idp are converted into a dew point difference sequence Seq arranged by time. The inversion judgment and state generation unit calculates the inversion duration Dur and the inversion flag Flg based on the dew point difference sequence Seq and outputs the dew point state Dps containing the current dew point difference Dif and the change state Sta. This scheme can transform the originally continuously fluctuating temperature and humidity environment changes into a structured judgment result with time continuity and trend information, thereby significantly reducing the risk of misjudgment caused by short-term climate disturbances.

[0087] (3) The pretreatment intensity level Lvl is calculated based on the inversion duration Dur and the current dew point difference Dif in the dew point state Dps, and the pretreatment intensity level Lvl is mapped to the linkage adjustment amount of fresh air ratio Nvr, humidity target Htg and temperature target Ttg. Then, the strategy constraint integration unit performs fresh air ratio boundary restriction, humidity boundary restriction, temperature boundary restriction, change rate restriction and temperature and humidity consistency verification on the candidate strategy set Can. Finally, the issuing unit converts the morning temperature and humidity coordinated pretreatment strategy Pre into equipment control instructions. This scheme can directly convert the severity of dew point inversion into graded, controllable and safety-constrained adjustment actions, thereby achieving active pre-adjustment of the morning environment under the premise of ensuring stable equipment operation. Attached Figure Description

[0088] Figure 1 This is a schematic block diagram of a control system for adjusting indoor temperature and humidity based on the outdoor environment according to the present invention. Detailed Implementation

[0089] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0090] Example 1

[0091] This invention provides a control system for adjusting indoor temperature and humidity based on outdoor conditions. Please refer to [link / reference]. Figure 1 It includes an environmental data acquisition and processing module, a dew point inversion identification module, a morning pre-processing decision-making module, and an execution evaluation module;

[0092] The environmental acquisition and processing module is used to collect outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh, and calculate outdoor dew point Odp and indoor dew point Idp, and integrate them to form an environmental dataset Dat;

[0093] The dew point inversion identification module compares the outdoor dew point Odp and the indoor dew point Idp during the early morning period based on the environmental dataset Dat, identifies the dew point inversion state, and outputs the dew point state Dps.

[0094] The morning pre-processing decision module generates a morning temperature and humidity coordinated pre-processing strategy Pre based on the dew point state Dps. The pre-processing strategy Pre includes the fresh air ratio Nvr, the temperature target Ttg, and the humidity target Htg.

[0095] The execution evaluation module controls the indoor temperature and humidity according to the preprocessing strategy Pre.

[0096] In this embodiment, the environmental acquisition and processing module continuously collects outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh, and calculates the outdoor dew point Odp and indoor dew point Idp to form an environmental dataset Dat. Then, the dew point inversion identification module compares the outdoor dew point Odp and indoor dew point Idp in the early morning and outputs the dew point status Dps. The system can identify the dew point inversion situation where the outdoor high humidity air will impact the indoor environment before the introduction of fresh air in the early morning. Based on this, the early morning preprocessing decision module generates a morning temperature and humidity coordinated preprocessing strategy Pre based on the dew point status Dps, which includes the fresh air ratio Nvr, the temperature target Ttg, and the humidity target Htg. The execution evaluation module controls the indoor temperature and humidity adjustment according to this strategy, so that the fresh air introduction rhythm and the temperature and humidity setting target are coordinated in advance in the early morning stage, thereby avoiding the problem of sudden increase in humidity and cold feeling in the early morning caused by the traditional system that only passively adjusts based on temperature difference. Taking early mornings in spring and autumn as an example, when the outdoor dew point Odp is higher than the indoor dew point Idp due to overnight humidity, this system can suppress the rapid rise in humidity before office workers enter the room by reducing the fresh air ratio Nvr and simultaneously tightening the humidity target Htg and matching the temperature target Ttg. This reduces the probability of condensation on windows and walls and shortens the time it takes for the indoor environment to return to a comfortable range. Therefore, in actual operation, it can simultaneously improve morning comfort, reduce the risk of condensation, and reduce energy consumption fluctuations caused by subsequent enhanced dehumidification.

[0097] Example 2

[0098] Specifically: the environmental acquisition and processing module includes a data acquisition unit;

[0099] The data acquisition unit is used to acquire raw indoor and outdoor environmental parameters and construct a raw sampling data set (Raw).

[0100] Specifically, outdoor temperature Otp and outdoor relative humidity Orh are collected in real time through outdoor environmental sensing components, and indoor temperature Itp and indoor relative humidity Irh are collected in real time through indoor environmental sensing components.

[0101] The data acquisition is performed using a continuous sampling method with a fixed sampling period.

[0102] Within each sampling period, the data acquisition unit writes the outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh into the time series cache structure and attaches a unified time stamp Tim to form the raw sampled data set Raw with time stamp.

[0103] The environmental acquisition and processing module also includes a data processing unit;

[0104] The data processing unit is used to perform preprocessing on the raw sampled data set Raw to form basic environmental data Bas;

[0105] Time alignment processing is performed on each time marker Tim in the raw sampled data set Raw to make the outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh correspond to a unified time base within the same time window;

[0106] When there are missing sample values ​​in any time window, the linear interpolation method of adjacent time samples is used to compensate for them, so that the time series remains continuous.

[0107] The time-aligned data is smoothed using a sliding window averaging method, and the smoothing result is calculated as follows:

[0108] The stable value Val is equal to the sum of all sampled values ​​within the current sliding window divided by the length of the sliding window;

[0109] When the deviation between any sampled value and its corresponding stable value Val exceeds a preset threshold, the sampled value is replaced with the stable value Val.

[0110] The preprocessed raw sample data set Raw is defined as the basic environment data Bas.

[0111] The environmental acquisition and processing module also includes a dew point calculation unit;

[0112] The dew point calculation unit is used to calculate the dew point temperature based on the temperature and relative humidity parameters in the basic environmental data Bas, and the calculation results are defined as the outdoor dew point Odp and the indoor dew point Idp, respectively.

[0113] Outdoor temperature Otp and outdoor relative humidity Orh are read from the basic environmental data Bas, and the intermediate amount of outdoor air water vapor Log is calculated.

[0114] The intermediate outdoor air water vapor content Log is obtained through the following steps:

[0115] The product of the dew point calculation constant A and the outdoor temperature Otp is divided by the sum of the dew point calculation constant B and the outdoor temperature Otp to obtain the first temperature ratio; the natural logarithm of the result of dividing the outdoor relative humidity Orh by one hundred is performed to obtain the humidity logarithm value; the first temperature ratio and the humidity logarithm value are added together to obtain the outdoor air water vapor intermediate quantity Log.

[0116] The outdoor dew point Cal is calculated based on the outdoor air moisture intermediate quantity Log. The outdoor dew point Cal is obtained through the following steps:

[0117] The product of the dew point calculation constant B and the outdoor air water vapor intermediate quantity Log is used as the numerator; the result of subtracting the outdoor air water vapor intermediate quantity Log from the dew point calculation constant A is used as the denominator; the outdoor dew point calculation value Cal is obtained by dividing the numerator by the denominator.

[0118] Define the calculated outdoor dew point value Cal as the outdoor dew point Odp;

[0119] Then, the indoor temperature Itp and indoor relative humidity Irh are read from the basic environmental data Bas, and the indoor air water vapor intermediate quantity Lin and indoor dew point calculated value Cin are obtained by using the same calculation steps as the outdoor dew point Odp; the indoor dew point calculated value Cin is defined as the indoor dew point Idp.

[0120] Then, the outdoor temperature Otp, outdoor relative humidity Orh, outdoor dew point Odp, indoor temperature Itp, indoor relative humidity Irh, and indoor dew point Idp are structured and integrated to form the environmental dataset Dat;

[0121] It should be noted that:

[0122] Dew point calculation constant A and dew point calculation constant B represent empirical constants used for approximate dew point calculations, where dew point calculation constant A has a value of 17.27 and dew point calculation constant B has a value of 237.7 degrees Celsius; these constants are derived from the Magnus dew point approximation model and are used to describe the water vapor saturation relationship in the air;

[0123] The intermediate values ​​of outdoor air water vapor Log and indoor air water vapor Lin represent intermediate values ​​of water vapor state transition determined by temperature and relative humidity, and are used to connect the calculation relationship between temperature and humidity parameters and dew point temperature.

[0124] The natural logarithm operation represents a logarithmic function operation with the natural constant as the base. It is used to describe the exponential relationship between air water vapor partial pressure and relative humidity. This operation can be implemented by the numerical calculation module of the control system.

[0125] Outdoor dew point Odp and indoor dew point Idp represent the temperature index corresponding to the air reaching saturation under the current humidity conditions, and are used to characterize the actual humidity level of the air.

[0126] The basic environmental data Bas represents the set of indoor and outdoor temperature and humidity data after time consistency correction and numerical stabilization; the environmental dataset Dat represents the structured set of environmental conditions containing temperature, relative humidity and dew point parameters.

[0127] In this embodiment, the data acquisition unit continuously acquires outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh at a fixed sampling period, and forms a raw sampling data set Raw under the unified constraint of time stamp Tim. Then, the data processing unit performs time alignment, missing value compensation, and smoothing and denoising on the raw sampling data set Raw to obtain basic environmental data Bas. Subsequently, the dew point calculation unit calculates the outdoor dew point Odp and indoor dew point Idp based on the basic environmental data Bas and integrates them to form an environmental dataset Dat. This scheme can significantly improve the temporal consistency and numerical stability of environmental state data at the source stage, so that the subsequent judgment based on outdoor dew point Odp and indoor dew point Idp is based on a highly reliable data foundation. Taking a real-world building operation scenario as an example, if an outdoor sensor experiences an abnormal reading jump due to short-term interference before people enter the office area in the early morning, the data processing unit corrects the abnormal sampling to a stable value Val through a sliding window averaging and abnormal replacement mechanism, thereby avoiding misjudging instantaneous noise as a true change in humidity. At the same time, the dew point calculation unit directly converts temperature and humidity into outdoor dew point Odp and indoor dew point Idp. The system can more intuitively reflect the air humidity state and unify the different sensor dimensions. This makes the environmental dataset Dat not only suitable for dew point inversion identification, but also serve as a data foundation for long-term operational analysis to discover real-world problems such as improper morning ventilation strategies or damp building envelope. Therefore, in practical applications, it can reduce false triggering of control, improve the reliability of judgment, and provide stable data support for the refined management of the building environment.

[0128] Example 3

[0129] Specifically: the dew point inversion identification module includes a morning screening and dew point difference calculation unit;

[0130] The morning screening and dew point difference calculation unit is used to screen data for the morning period from the environmental dataset Dat and calculate the dew point difference between the outdoor dew point Odp and the indoor dew point Idp.

[0131] Specifically, the filtering of data during the early morning period involves reading the time marker Tim from the environmental dataset Dat and matching the time marker Tim with the preset early morning time interval. When the time marker Tim falls within the preset early morning time interval, the corresponding outdoor dew point Odp and indoor dew point Idp are extracted and written into the early morning data set Mor.

[0132] Then, by performing dew point difference calculation on each sampling period in the morning data set Mor, the dew point difference Diif is obtained; the dew point difference Diif is obtained by subtracting the indoor dew point Idp from the outdoor dew point Odp.

[0133] The dew point difference Dif from the continuous time series is integrated to form the dew point difference sequence Seq;

[0134] It should be noted that:

[0135] The preset early morning time interval represents the time window parameter that limits the high-risk period of dew point inversion; the early morning data set Mor represents the dew point data set of the early morning period obtained by filtering from the environmental dataset Dat; the dew point difference Dif represents the difference between the outdoor dew point Odp and the indoor dew point Idp; the dew point difference sequence Seq represents the set of dew point differences arranged by time.

[0136] By screening in the early morning and calculating the dew point difference, the environmental state can be converted into a identifiable difference sequence.

[0137] The dew point inversion identification module also includes an inversion determination and status generation unit;

[0138] The inverted hanging determination and state generation unit is used to generate dew point state Dps based on the dew point difference sequence Seq;

[0139] The dew point status Dps includes the inversion flag Flg, the inversion duration Dur, the current dew point difference Dif, and the change status Sta;

[0140] By iterating through each dew point difference Dif in the dew point difference sequence Seq in chronological order and performing continuity checks:

[0141] When the dew point difference Dif is greater than zero, the inverted timer Cnt is started or continues to accumulate.

[0142] When the dew point difference Dif is less than or equal to zero, the inverted timer Cnt is cleared.

[0143] The inverted duration Dur is obtained by multiplying the inverted timer Cnt by the sampling period length;

[0144] When the inverted duration Dur is greater than or equal to the preset judgment time Thr, the inverted flag Flg is set to the established state;

[0145] When the inverted duration Dur is less than the preset judgment time Thr, the inverted flag Flg is set to an invalid state;

[0146] Define the dew point difference Dif corresponding to the most recent sampling period in the dew point difference sequence Seq as the current dew point difference Dif.

[0147] Calculate the difference between the current dew point difference Dif and the dew point difference Dif of the previous sampling period, and obtain the difference value Var.

[0148] When the difference Var is greater than or equal to the preset change threshold Eps, the change state Sta is set to the rising state.

[0149] When the absolute value of the difference Var is less than the preset change threshold Eps, the change state Sta is set to a stable state.

[0150] When the difference Var is less than the negative preset change threshold Eps, the change state Sta is set to a decreasing state.

[0151] It should be noted that:

[0152] The inverted timer Cnt represents the count variable used to accumulate the number of consecutive positive dew point difference samples;

[0153] The sampling period length represents the time interval between two adjacent dew point samples;

[0154] The preset judgment time Thr represents the minimum duration required to determine whether the dew point inversion is valid;

[0155] Dur, the inverted duration, represents the actual duration during which the continuous dew point difference is positive.

[0156] The inverted indicator Flg indicates the result of the determination of whether the dew point inversion is valid;

[0157] The current dew point difference Dif represents the dew point difference value corresponding to the latest sampling period in the dew point difference sequence Seq;

[0158] The difference Var represents the change in dew point difference between two adjacent sampling periods;

[0159] The preset change threshold Eps represents the minimum change boundary that distinguishes between rising, stable, and falling states;

[0160] The change status Sta represents the classification result of the dew point difference change trend;

[0161] Dew point status Dps represents the structured output set of the dew point inversion identification module.

[0162] In this embodiment, the morning screening and dew point difference calculation unit extracts data within a preset morning time interval from the environmental dataset Dat and forms a morning data set Mor. Then, the outdoor dew point Odp and indoor dew point Idp are converted into a dew point difference sequence Seq arranged by time. The inversion judgment and state generation unit calculates the inversion duration Dur and the inversion flag Flg based on the dew point difference sequence Seq and outputs the dew point state Dps containing the current dew point difference Dif and the change state Sta. This scheme can transform the originally continuously fluctuating temperature and humidity environment changes into a structured judgment result with time continuity and trend information, thereby significantly reducing the risk of misjudgment caused by short-term climate disturbances. Taking a spring morning as an example, when the outdoor air experiences a momentary increase in dew point due to localized fog or short-term humidity fluctuations, relying solely on a single sample of the outdoor dew point Odp and indoor dew point Idp for judgment can easily trigger unnecessary control actions. However, by using an inverted timer Cnt to accumulate continuous positive dew point differences and combining this with a preset judgment time Thr to filter persistent inverted situations, and by using a preset change threshold Eps to distinguish change states Sta, this system only outputs the dew point state Dps when the dew point difference Dif is continuously positive and has a clear trend. This allows for a more accurate distinction between transient meteorological noise and actual damp and cold risks in real-world operation, reducing the number of ineffective adjustments and providing a stable and traceable basis for subsequent morning temperature and humidity co-processing.

[0163] Example 4

[0164] Specifically: the morning preprocessing decision module includes a strategy generation unit;

[0165] The strategy generation unit is used to calculate the initial control quantity of the morning temperature and humidity co-treatment strategy based on the dew point state Dps, and generate a candidate strategy set Can;

[0166] First, the inverted duration Dur in the dew point status Dps is read, and interval matching is performed with the time-level threshold set Thr to calculate the preprocessing intensity level Lvl.

[0167] The time-level threshold set Thr includes a first time threshold and a second time threshold, wherein the second time threshold is greater than the first time threshold;

[0168] The pretreatment intensity level Lvl is determined according to the following rules:

[0169] When the inverted duration Dur is less than the first time threshold, the preprocessing intensity level Lvl is set to level one;

[0170] When the inverted duration Dur is greater than or equal to the first time threshold and less than the second time threshold, the preprocessing intensity level Lvl is set to level two.

[0171] When the inverted duration Dur is greater than or equal to the second time threshold, the preprocessing intensity level Lvl is set to level three;

[0172] Calculate the grade adjustment amount Adj based on the pretreatment intensity level Lvl and the current dew point difference Dif;

[0173] The grade adjustment amount Adj is obtained by multiplying the current dew point difference Dif by the grade coefficient Klv. The grade coefficient Klv corresponds to the pretreatment intensity grade Lvl and is set in an incremental ratio.

[0174] The fresh air ratio Nvr is obtained by subtracting the level adjustment amount Adj from the preset baseline fresh air ratio Nbs;

[0175] The strategy calculation and generation unit calculates the humidity correction amount Hdf based on the preprocessing intensity level Lvl;

[0176] The humidity correction amount Hdf is obtained by multiplying the baseline humidity target Hbs by the grade percentage Prc, which corresponds to the pretreatment intensity grade Lvl and increases by a fixed percentage.

[0177] The humidity target Htg is obtained by subtracting the humidity correction Hdf from the baseline humidity target Hbs.

[0178] Calculate the temperature target Ttg based on the humidity target Htg: This is done by inputting the humidity target Htg into the preset temperature-humidity mapping function Map;

[0179] The strategy calculation and generation unit combines the fresh air ratio Nvr, the temperature target Ttg, and the humidity target Htg to form a candidate strategy set Can;

[0180] It should be noted that:

[0181] The grade coefficient Klv represents the proportional coefficient used to map the current dew point difference Dif to the reduction intensity of the fresh air ratio Nvr. The grade coefficient Klv is set using a graded calibration method: during the initial commissioning phase of the system, with the baseline fresh air ratio Nbs as the baseline, under the conditions of pretreatment intensity level Lvl of level 1, level 2, and level 3, the fresh air reduction magnitude is gradually increased and the changes in indoor relative humidity response and condensation risk in the early morning are observed. The coefficient combination that can suppress the rapid rise of humidity in the early morning without causing abnormal indoor air quality is selected. The preferred value range of the grade coefficient Klv is 0.1 to 0.6, and the higher the pretreatment intensity level Lvl, the larger the grade coefficient Klv. Specifically, when the pretreatment intensity level Lvl is level 1, the preferred value is 0.1 to 0.2; when the pretreatment intensity level Lvl is level 2, the preferred value is 0.2 to 0.4; and when the pretreatment intensity level Lvl is level 3, the preferred value is 0.4 to 0.6.

[0182] The humidity correction amount Hdf represents the degree of humidity correction used to tighten the baseline humidity target Hbs. The humidity correction amount Hdf is set using a percentage-based stepwise method: during the initial system commissioning phase, using the baseline humidity target Hbs as the baseline, the pretreatment intensity level Lvl is mapped one-to-one with the level percentage Prc, and the tightening ratio is increased according to the level, so that the more pronounced the dew point inversion, the tighter the humidity target. The humidity correction amount Hdf is determined by the baseline humidity target Hbs and the level percentage Prc. The preferred value range for the level percentage Prc is 5% to 18%, and it must meet the requirements of the pretreatment intensity level. The higher the Lvl level, the greater the percentage Prc. Specifically, when the pretreatment intensity level Lvl is level 1, the percentage Prc is preferably 5% to 8%; when the pretreatment intensity level Lvl is level 2, the percentage Prc is preferably 8% to 12%; and when the pretreatment intensity level Lvl is level 3, the percentage Prc is preferably 12% to 18%. Correspondingly, the humidity correction Hdf increases stepwise with the pretreatment intensity level Lvl to ensure that the risk of damp cold and condensation can be suppressed in advance in the early morning when the dew point is inverted, while avoiding excessive dryness indoors due to excessive tightening.

[0183] The temperature and humidity mapping function Map represents the temperature and humidity coordinated conversion relationship used to determine the temperature target Ttg based on the humidity target Htg. Its implementation method is based on the joint calibration of the indoor thermal comfort zone and the surface condensation safety margin.

[0184] During the initial commissioning phase of the system, the reference humidity target Hbs and the reference temperature target Tbs are used as reference working points. By synchronously adjusting humidity and temperature within a controllable range and monitoring condensation on indoor surfaces and human comfort feedback, a correspondence curve between the humidity target Htg and the temperature target Ttg is established. The temperature and humidity mapping function Map is parameterized and stored according to the correspondence curve, and outputs the corresponding temperature target Ttg based on the input humidity target Htg during operation.

[0185] The piecewise linear mapping method is preferred: when the humidity target Htg is in the high end of the comfortable humidity range, the corresponding temperature target Ttg is adjusted towards a higher temperature; when the humidity target Htg is in the low end of the comfortable humidity range, the corresponding temperature target Ttg is adjusted towards a lower temperature, thereby maintaining a safe margin between the air dew point and the temperature of key indoor surfaces.

[0186] The preferred operating range for the humidity target Htg is 40% to 65%, and the corresponding preferred operating range for the temperature target Ttg is 20°C to 26°C. The temperature and humidity mapping function Map ensures that the combination of the temperature target Ttg and the humidity target Htg is always within the human thermal comfort zone and below the condensation risk boundary within the above range.

[0187] By using a mapping calibration based on the comfort zone and the condensation safety margin, the temperature and humidity mapping function Map can automatically coordinate the temperature and humidity control targets under the condition of dew point inversion, so that the system can both suppress the risk of damp cold and condensation in the early morning and maintain indoor comfort.

[0188] The morning preprocessing decision module also includes a strategy constraint integration unit;

[0189] The strategy constraint integration unit is used to perform boundary constraints, change smoothing and temperature and humidity consistency verification on the candidate strategy set Can, and generate an executable early morning temperature and humidity collaborative preprocessing strategy Pre.

[0190] The morning temperature and humidity co-processing pretreatment strategy Pre includes fresh air ratio boundary restriction processing, humidity boundary restriction processing, temperature boundary restriction processing, and rate of change restriction processing.

[0191] The fresh air ratio (NVR) is subject to boundary limit processing.

[0192] When the fresh air ratio Nvr is greater than the maximum ratio boundary Nmx, the fresh air ratio Nvr is set to the maximum ratio boundary Nmx.

[0193] When the fresh air ratio Nvr is less than the minimum ratio boundary Nmn, the fresh air ratio Nvr is set to the minimum ratio boundary Nmn.

[0194] Wherein, the maximum proportional boundary Nmx and the minimum proportional boundary Nmn represent the allowable operating range of the fresh air ratio Nvr;

[0195] Perform humidity boundary constraint processing on the humidity target Htg;

[0196] When the humidity target Htg is greater than the maximum humidity boundary Hmx, the humidity target Htg is set to the maximum humidity boundary Hmx;

[0197] When the humidity target Htg is less than the minimum humidity boundary Hmn, the humidity target Htg is set to the minimum humidity boundary Hmn;

[0198] Wherein, the maximum humidity boundary Hmx and the minimum humidity boundary Hmn represent the allowable control range of the humidity target Htg;

[0199] Perform temperature boundary constraint processing on the temperature target Ttg;

[0200] When the temperature target Ttg is greater than the maximum temperature boundary Tmx, the temperature target Ttg is set to the maximum temperature boundary Tmx;

[0201] When the temperature target Ttg is less than the minimum temperature boundary Tmn, the temperature target Ttg is set to the minimum temperature boundary Tmn;

[0202] Wherein, the maximum temperature boundary Tmx and the minimum temperature boundary Tmn represent the allowable control range of the temperature target Ttg;

[0203] The rate of change of the fresh air ratio Nvr is limited; when the difference between the fresh air ratio Nvr of the current control cycle and the fresh air ratio of the previous control cycle is greater than the ratio change threshold Nst, the current fresh air ratio Nvr is limited to the fresh air ratio of the previous control cycle plus the ratio change threshold Nst.

[0204] Among them, the proportion change threshold Nst represents the maximum allowable change in the proportion of fresh air between adjacent control cycles;

[0205] Then perform a temperature and humidity consistency check; when the air dew point corresponding to the combination of temperature target Ttg and humidity target Htg is higher than the safe surface temperature of the preset indoor location, prioritize increasing the temperature target Ttg or further decreasing the humidity target Htg to bring the combination back to the safe range;

[0206] It should be noted that:

[0207] The maximum proportion boundary Nmx is preferably set to 80% to 100% of the baseline fresh air proportion Nbs, and the minimum proportion boundary Nmn is preferably set to 20% to 40% of the baseline fresh air proportion Nbs to ensure basic ventilation requirements.

[0208] The maximum humidity boundary Hmx is preferably set at 65%, and the minimum humidity boundary Hmn is preferably set at 35% to 40%, in order to balance comfort and anti-dryness requirements.

[0209] The maximum temperature boundary Tmx is preferably set to 26 degrees Celsius, and the minimum temperature boundary Tmn is preferably set to 20 degrees Celsius to cover common indoor comfort ranges.

[0210] The proportional change threshold Nst is preferably set to 5% to 10% per control cycle to avoid frequent and large fluctuations in the actuator.

[0211] The indoor critical surface safety temperature represents the lowest safe surface temperature determined based on the building envelope material and the location of indoor thermal bridges, and is used to assess the risk of condensation; this temperature can be determined through historical operating data or during the installation and commissioning phase.

[0212] Through the combined processing of boundary constraints, change smoothing, and safety verification, the strategy constraint integration unit can ensure that the morning temperature and humidity co-treatment strategy Pre is stably executed within the equipment's capabilities, while avoiding the generation of new condensation risks or comfort issues.

[0213] The execution evaluation module includes a distribution unit;

[0214] The issuing unit generates corresponding control commands based on the fresh air ratio Nvr, temperature target Ttg, and humidity target Htg in the morning temperature and humidity co-processing pretreatment strategy Pre, and sends the control commands to the indoor air conditioning and fresh air conditioning equipment so that the indoor environment is adjusted according to the pretreatment strategy Pre.

[0215] In this embodiment, the strategy generation unit calculates the pretreatment intensity level Lvl based on the inversion duration Dur and the current dew point difference Dif in the dew point state Dps, and maps the pretreatment intensity level Lvl to the linkage adjustment amount of the fresh air ratio Nvr, the humidity target Htg, and the temperature target Ttg. Then, the strategy constraint integration unit performs fresh air ratio boundary restrictions, humidity boundary restrictions, temperature boundary restrictions, change rate restrictions, and temperature and humidity consistency checks on the candidate strategy set Can. Finally, the issuing unit converts the morning temperature and humidity coordinated pretreatment strategy Pre into equipment control commands. This solution can directly convert the severity of dew point inversion into graded, controllable, and safety-constrained adjustment actions, thereby achieving proactive pre-adjustment of the morning environment while ensuring stable equipment operation. Taking a real residential building operating in the early morning of the rainy season as an example, when the dew point status Dps shows a long inverted duration Dur and a large current dew point difference Dif, the system automatically increases the pre-processing intensity level Lvl, reduces the fresh air ratio Nvr, and tightens the humidity target Htg. At the same time, it adjusts the temperature target Ttg synchronously through the temperature and humidity mapping function Map. Subsequently, under the constraints of the maximum ratio boundary Nmx, the minimum ratio boundary Nmn, and the ratio change threshold Nst, the system smoothly performs the adjustment to avoid frequent and large-scale start-stop of the fan and compressor. It also prevents the air dew point from exceeding the safe surface temperature of the preset indoor location through temperature and humidity consistency verification. Therefore, in real-world applications, it can not only reduce the input intensity of high humidity air in the early morning, but also reduce equipment impact and energy consumption fluctuations, while maintaining living comfort and reducing the probability of condensation on walls and window frames.

[0216] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended technical solutions and their equivalents.

Claims

1. A control system for adjusting indoor temperature and humidity based on outdoor environment, characterized in that: It includes an environmental data acquisition and processing module, a dew point inversion identification module, a morning pre-processing decision-making module, and an execution evaluation module; The environmental acquisition and processing module is used to collect outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh, and calculate outdoor dew point Odp and indoor dew point Idp, and integrate them to form an environmental dataset Dat; The dew point inversion identification module compares the outdoor dew point Odp and the indoor dew point Idp during the early morning period based on the environmental dataset Dat, identifies the dew point inversion state, and outputs the dew point state Dps. The dew point inversion identification module includes a morning screening and dew point difference calculation unit; The morning screening and dew point difference calculation unit is used to screen data for the morning period from the environmental dataset Dat and calculate the dew point difference between the outdoor dew point Odp and the indoor dew point Idp. Specifically, the filtering of data during the early morning period involves reading the time marker Tim from the environmental dataset Dat and matching the time marker Tim with the preset early morning time interval. When the time marker Tim falls within the preset early morning time interval, the corresponding outdoor dew point Odp and indoor dew point Idp are extracted and written into the early morning data set Mor. Then, by performing dew point difference calculation on each sampling period in the morning data set Mor, the dew point difference Diif is obtained; the dew point difference Diif is obtained by subtracting the indoor dew point Idp from the outdoor dew point Odp. The dew point difference Dif from the continuous time series is integrated to form the dew point difference sequence Seq; The dew point inversion identification module also includes an inversion determination and status generation unit; The inverted hanging determination and state generation unit is used to generate dew point state Dps based on the dew point difference sequence Seq; The dew point status Dps includes the inversion flag Flg, the inversion duration Dur, the current dew point difference Dif, and the change status Sta; By iterating through each dew point difference Dif in the dew point difference sequence Seq in chronological order and performing continuity checks: When the dew point difference Dif is greater than zero, the inverted timer Cnt is started or continues to accumulate. When the dew point difference Dif is less than or equal to zero, the inverted timer Cnt is cleared. The inverted duration Dur is obtained by multiplying the inverted timer Cnt by the sampling period length; When the inverted duration Dur is greater than or equal to the preset judgment time Thr, the inverted flag Flg is set to the established state; When the inverted duration Dur is less than the preset judgment time Thr, the inverted flag Flg is set to an invalid state; Define the dew point difference Dif corresponding to the most recent sampling period in the dew point difference sequence Seq as the current dew point difference Dif. Calculate the difference between the current dew point difference Dif and the dew point difference Dif of the previous sampling period, and obtain the difference value Var. When the difference Var is greater than or equal to the preset change threshold Eps, the change state Sta is set to the rising state. When the absolute value of the difference Var is less than the preset change threshold Eps, the change state Sta is set to a stable state. When the difference Var is less than the negative preset change threshold Eps, the change state Sta is set to a decreasing state. The morning pre-processing decision module generates a morning temperature and humidity coordinated pre-processing strategy Pre based on the dew point state Dps. The pre-processing strategy Pre includes the fresh air ratio Nvr, the temperature target Ttg, and the humidity target Htg. The morning preprocessing decision module includes a strategy generation unit; The strategy generation unit is used to calculate the initial control quantity of the morning temperature and humidity co-treatment strategy based on the dew point state Dps, and generate a candidate strategy set Can; The morning preprocessing decision module also includes a strategy constraint integration unit; The strategy constraint integration unit is used to perform boundary constraints, change smoothing and temperature and humidity consistency verification on the candidate strategy set Can, and generate an executable early morning temperature and humidity collaborative preprocessing strategy Pre. The morning temperature and humidity co-processing pretreatment strategy Pre includes fresh air ratio boundary restriction processing, humidity boundary restriction processing, temperature boundary restriction processing and change rate restriction processing; The execution evaluation module controls the indoor temperature and humidity according to the preprocessing strategy Pre.

2. The control system for adjusting indoor temperature and humidity according to the outdoor environment as described in claim 1, characterized in that: The environmental acquisition and processing module includes a data acquisition unit; The data acquisition unit is used to acquire raw indoor and outdoor environmental parameters and construct a raw sampling data set (Raw). Specifically, outdoor temperature Otp and outdoor relative humidity Orh are collected in real time through outdoor environmental sensing components, and indoor temperature Itp and indoor relative humidity Irh are collected in real time through indoor environmental sensing components. The data acquisition is performed using a continuous sampling method with a fixed sampling period. Within each sampling period, the data acquisition unit writes the outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh into the time series cache structure and attaches a unified time stamp Tim to form the raw sampled data set Raw with time stamp.

3. The control system for adjusting indoor temperature and humidity according to the outdoor environment as described in claim 2, characterized in that: The environmental acquisition and processing module also includes a data processing unit; The data processing unit is used to perform preprocessing on the raw sampled data set Raw to form basic environmental data Bas; Time alignment processing is performed on each time marker Tim in the raw sampled data set Raw to make the outdoor temperature Otp, outdoor relative humidity Orh, indoor temperature Itp, and indoor relative humidity Irh correspond to a unified time base within the same time window; When there are missing sample values ​​in any time window, the linear interpolation method of adjacent time samples is used for compensation. Smoothing is performed on the time-aligned data based on the sliding window averaging method; The preprocessed raw sample data set Raw is defined as the basic environment data Bas.

4. The control system for adjusting indoor temperature and humidity according to the outdoor environment as described in claim 3, characterized in that: The environmental acquisition and processing module also includes a dew point calculation unit; The dew point calculation unit is used to calculate the dew point temperature based on the temperature and relative humidity parameters in the basic environmental data Bas, and the calculation results are defined as the outdoor dew point Odp and the indoor dew point Idp, respectively. Outdoor temperature Otp and outdoor relative humidity Orh are read from the basic environmental data Bas, and the intermediate amount of outdoor air water vapor Log is calculated. The intermediate outdoor air water vapor content Log is obtained through the following steps: The product of the dew point calculation constant A and the outdoor temperature Otp is divided by the sum of the dew point calculation constant B and the outdoor temperature Otp to obtain the first temperature ratio; the natural logarithm of the result of dividing the outdoor relative humidity Orh by one hundred is performed to obtain the humidity logarithm value; the first temperature ratio and the humidity logarithm value are added together to obtain the outdoor air water vapor intermediate quantity Log. The outdoor dew point Cal is calculated based on the outdoor air moisture intermediate quantity Log. The outdoor dew point Cal is obtained through the following steps: The product of the dew point calculation constant B and the outdoor air water vapor intermediate quantity Log is used as the numerator; the result of subtracting the outdoor air water vapor intermediate quantity Log from the dew point calculation constant A is used as the denominator; the outdoor dew point calculation value Cal is obtained by dividing the numerator by the denominator. Define the calculated outdoor dew point value Cal as the outdoor dew point Odp; Then, the indoor temperature Itp and indoor relative humidity Irh are read from the basic environmental data Bas, and the indoor air water vapor intermediate quantity Lin and indoor dew point calculated value Cin are obtained by using the same calculation steps as the outdoor dew point Odp; the indoor dew point calculated value Cin is defined as the indoor dew point Idp. Then, the outdoor temperature Otp, outdoor relative humidity Orh, outdoor dew point Odp, indoor temperature Itp, indoor relative humidity Irh, and indoor dew point Idp are structured and integrated to form the environmental dataset Dat.

5. A control system for adjusting indoor temperature and humidity according to outdoor environment as described in claim 1, characterized in that: The morning preprocessing decision module includes a strategy generation unit; First, the inverted duration Dur in the dew point status Dps is read and interval matching is performed with the time-level threshold set Thr to calculate the preprocessed intensity level Lvl. The time-level threshold set Thr includes a first time threshold and a second time threshold, wherein the second time threshold is greater than the first time threshold; The pretreatment intensity level Lvl is determined according to the following rules: When the inverted duration Dur is less than the first time threshold, the preprocessing intensity level Lvl is set to level one; When the inverted duration Dur is greater than or equal to the first time threshold and less than the second time threshold, the preprocessing intensity level Lvl is set to level two. When the inverted duration Dur is greater than or equal to the second time threshold, the preprocessing intensity level Lvl is set to level three; Calculate the grade adjustment amount Adj based on the pretreatment intensity level Lvl and the current dew point difference Dif; The grade adjustment amount Adj is obtained by multiplying the current dew point difference Dif by the grade coefficient Klv. The grade coefficient Klv corresponds to the pretreatment intensity grade Lvl and is set in an incremental ratio. The fresh air ratio Nvr is obtained by subtracting the level adjustment amount Adj from the preset baseline fresh air ratio Nbs; The strategy calculation and generation unit calculates the humidity correction amount Hdf based on the preprocessing intensity level Lvl; The humidity correction amount Hdf is obtained by multiplying the baseline humidity target Hbs by the grade percentage Prc, which corresponds to the pretreatment intensity grade Lvl and increases by a fixed percentage. The humidity target Htg is obtained by subtracting the humidity correction Hdf from the baseline humidity target Hbs. Calculate the temperature target Ttg based on the humidity target Htg: This is done by inputting the humidity target Htg into the preset temperature-humidity mapping function Map; The strategy calculation and generation unit combines the fresh air ratio Nvr, the temperature target Ttg, and the humidity target Htg to form a candidate strategy set Can.

6. A control system for adjusting indoor temperature and humidity according to outdoor environment as described in claim 5, characterized in that: The fresh air ratio (NVR) is subject to boundary limit processing. When the fresh air ratio Nvr is greater than the maximum ratio boundary Nmx, the fresh air ratio Nvr is set to the maximum ratio boundary Nmx. When the fresh air ratio Nvr is less than the minimum ratio boundary Nmn, the fresh air ratio Nvr is set to the minimum ratio boundary Nmn. Wherein, the maximum proportional boundary Nmx and the minimum proportional boundary Nmn represent the allowable operating range of the fresh air ratio Nvr; Perform humidity boundary constraint processing on the humidity target Htg; When the humidity target Htg is greater than the maximum humidity boundary Hmx, the humidity target Htg is set to the maximum humidity boundary Hmx; When the humidity target Htg is less than the minimum humidity boundary Hmn, the humidity target Htg is set to the minimum humidity boundary Hmn; Wherein, the maximum humidity boundary Hmx and the minimum humidity boundary Hmn represent the allowable control range of the humidity target Htg; Perform temperature boundary constraint processing on the temperature target Ttg; When the temperature target Ttg is greater than the maximum temperature boundary Tmx, the temperature target Ttg is set to the maximum temperature boundary Tmx; When the temperature target Ttg is less than the minimum temperature boundary Tmn, the temperature target Ttg is set to the minimum temperature boundary Tmn; Wherein, the maximum temperature boundary Tmx and the minimum temperature boundary Tmn represent the allowable control range of the temperature target Ttg; The rate of change of the fresh air ratio Nvr is limited; when the difference between the fresh air ratio Nvr of the current control cycle and the fresh air ratio of the previous control cycle is greater than the ratio change threshold Nst, the current fresh air ratio Nvr is limited to the fresh air ratio of the previous control cycle plus the ratio change threshold Nst. Among them, the proportion change threshold Nst represents the maximum allowable change in the fresh air proportion between adjacent control cycles.

7. A control system for adjusting indoor temperature and humidity according to outdoor environment as described in claim 6, characterized in that: The execution evaluation module includes a distribution unit; The issuing unit generates corresponding control commands based on the fresh air ratio Nvr, temperature target Ttg, and humidity target Htg in the morning temperature and humidity co-processing pretreatment strategy Pre, and sends the control commands to the indoor air conditioning and fresh air conditioning equipment so that the indoor environment is adjusted according to the pretreatment strategy Pre.

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