An intelligent home heating and ventilation device integrated control system

Abstract

The application discloses an intelligent home heating and ventilation equipment integrated control system and relates to the technical field of intelligent home control. The system comprises an energy consumption collection module, an environment sensing module, a low-efficiency identification module, a cooperative control module and a time-sharing and partition module. The system realizes fine energy consumption management and control, effectively reduces the use cost by means of energy consumption collection, standard conversion and high-energy-consumption equipment identification, combined with a cooperative control model and a scene-based energy-saving strategy. The system accurately adapts to multiple scenes and environmental changes by means of partition multi-dimensional sensing collection and indoor and outdoor data time sequence alignment, and guarantees comfortable experience. The system gives early warning of equipment abnormalities by means of exclusive low-efficiency identification rules, optimizes operation logic, prolongs equipment life and improves stability. The system integrates rest planning and custom scene modes, supports automatic or one-key switching, simplifies operation and comprehensively considers energy saving, comfort, efficiency and convenience.

Description

Technical Field

[0001] This invention relates to the field of smart home control technology, specifically to an integrated control system for smart home HVAC equipment. Background Technology

[0002] As living standards continue to improve, HVAC systems such as air conditioners, underfloor heating, and fresh air systems are becoming increasingly common in homes. These systems are often installed and controlled independently, lacking a unified management and scheduling mechanism. In practice, different devices are prone to incoordination in their operating logic, overlapping functions, and even mutual interference. This not only makes it difficult to stably guarantee indoor environmental comfort but also results in significant energy waste.

[0003] Currently, most home HVAC control systems can only achieve a rough estimate of overall electricity and gas consumption in energy consumption monitoring. They cannot independently track and quantify the consumption of individual devices. Electricity consumption and gas consumption cannot be calculated in a unified manner, making it difficult for the system to accurately locate high-energy-consuming devices and lacking reliable data for energy-saving optimization.

[0004] In terms of environmental sensing, traditional solutions primarily rely on indoor temperature and humidity for control, with insufficient monitoring of indicators affecting comfort and air quality, such as the presence of people and CO2 concentration. They also rarely consider combining outdoor temperature, solar radiation, and other meteorological conditions for comprehensive judgment. Even when some systems access outdoor data, inconsistencies in data collection timing often prevent accurate matching of indoor and outdoor parameters, resulting in poor adaptability of control strategies to the actual environment.

[0005] At the same time, existing technologies generally lack inefficiency judgment standards for air conditioning, underfloor heating and fresh air systems, which are specific to their respective characteristics. Problems such as low equipment energy efficiency, insufficient heat exchange efficiency and excessive fresh air exchange are difficult to detect in a timely manner. Long-term inefficient operation not only increases energy consumption, but also accelerates equipment aging.

[0006] Furthermore, most control systems fail to differentiate management based on room zoning, usage time, and living scenarios. They employ similar operating parameters for unoccupied and occupied areas, and for home and away states, resulting in insufficient intelligence and precision. Users must frequently make manual adjustments, making it difficult to achieve both comfort and energy efficiency, and thus failing to meet the integrated, precise, and energy-saving development needs of modern smart homes. Summary of the Invention

[0007] (a) Technical problems to be solved

[0008] To address the shortcomings of existing technologies, this invention provides an integrated control system for smart home HVAC equipment, which solves the problems mentioned in the background section.

[0009] (II) Technical Solution

[0010] To achieve the above objectives, the present invention provides the following technical solution: an integrated control system for intelligent home HVAC equipment, comprising:

[0011] The energy consumption acquisition module is used to collect data from each HVAC device individually, obtain energy consumption data, and perform standard energy consumption conversion on the energy consumption data of different HVAC devices.

[0012] Energy consumption data refers to the instantaneous energy consumption values ​​collected from different HVAC equipment at different points in time;

[0013] The environmental sensing module is used to divide each room into independent zones, and to configure temperature and humidity sensors, human presence sensors, and CO2 concentration sensors in each zone; the zone collects indoor temperature, humidity, human presence status, and CO2 concentration data as indoor environmental parameters, and simultaneously connects to outdoor weather station data to obtain outdoor temperature and solar radiation intensity as outdoor meteorological parameters.

[0014] At the same time, interpolation and completion processing is performed on outdoor meteorological parameters that are not collected synchronously with indoor environmental parameters;

[0015] The inefficiency identification module receives data transmitted from the energy consumption acquisition module and the environmental sensing module. Based on the collected energy consumption data, equipment operating parameters, and environmental data, it establishes specific inefficiency operation identification rules for air conditioning, underfloor heating, and fresh air equipment, respectively. Specifically, it calculates the energy efficiency ratio of air conditioning, the effective heating efficiency of underfloor heating, and the required air volume of fresh air by comparing energy consumption data with equipment operating parameters, and judges the inefficiency operation status of the equipment based on the calculation results.

[0016] The collaborative control module is used to establish a collaborative control model based on the judgment results of the inefficient identification module, and to perform priority operation of air conditioning and underfloor heating, dynamic correction of fresh air volume, and temperature compensation control.

[0017] The time-sharing and zone-based module distributes differentiated equipment operating parameters and executes differentiated parameter control based on the status of personnel in each zone, preset work and rest periods, and custom scene modes.

[0018] As a further aspect of the present invention: data collection per device: number each device, assign a unique identifier to each device, continuously collect energy consumption data during its operation, and record the corresponding collection timestamp.

[0019] As a further aspect of the present invention, the standard energy consumption conversion method is as follows:

[0020] All energy consumption data for HVAC equipment will be uniformly converted into standard energy consumption values ​​in joules.

[0021] HVAC equipment includes electrical equipment and gas equipment;

[0022] For electrical equipment, the instantaneous power collected is converted into the cumulative power consumption for the corresponding time period according to the collection period, thus obtaining the standard energy consumption value corresponding to the electrical equipment.

[0023] For gas-fired equipment, the instantaneous gas flow rate is collected and combined with the lower heating value of the gas to convert it into the corresponding heat consumption value, thus obtaining the standard energy consumption value of the gas-fired equipment.

[0024] As a further aspect of the present invention, the unified conversion formula for standard energy consumption values ​​is as follows:

[0025] For electrical equipment:

[0026]

[0027] In the formula: i = 1, 2, ..., n, where n is the total number of HVAC equipment; t = 1, 2, ..., N represents the data collection time point number, and N is the total number of data collection points in this data collection process; Es i,t E represents the standard energy consumption value of the i-th electrical device during the t-th data collection period. i,t Let be the instantaneous power of the i-th device at time t; Δt is the duration of the data acquisition cycle.

[0028] For gas appliances:

[0029]

[0030] In the formula: Es i,t E represents the standard energy consumption value of the i-th gas appliance during the t-th data collection period. i,t Let be the instantaneous gas flow rate of the i-th device at time t; Δt be the duration of the data collection period; and Q0 be the lower heating value of the gas.

[0031] As a further aspect of the present invention: the energy consumption acquisition module also performs energy consumption statistics and identifies high-energy-consuming devices, in the following manner:

[0032] Using the day as the time dimension, the cumulative daily energy consumption of a single device on a single day, as well as the total daily energy consumption of all devices, are calculated separately.

[0033] Meanwhile, by calculating the ratio of the daily cumulative energy consumption of a single device to the total daily energy consumption, the energy consumption ratio of a single device is determined, thereby identifying devices with excessively high energy consumption ratios. That is, when the energy consumption ratio of a single device exceeds the preset energy consumption ratio threshold, it is marked as a key monitoring device.

[0034] As a further aspect of the present invention, the daily cumulative energy consumption formula is as follows:

[0035]

[0036] In the formula: Edi Ed is the daily cumulative energy consumption of the i-th device. i Nd represents the total number of data points collected in a single day, and Es represents the total number of data points collected in a single day. i,t Let be the standard energy consumption value of the i-th device during the t-th data acquisition cycle.

[0037] As a further aspect of the present invention, the formula for total daily energy consumption is as follows:

[0038]

[0039] In the formula: Ezd is the total daily energy consumption of all HVAC equipment, Ed i Let be the daily cumulative energy consumption value of the i-th device.

[0040] As a further aspect of the present invention, the formula for total daily energy consumption is as follows:

[0041]

[0042] In the formula: R i Ed represents the energy consumption percentage of the i-th device. i Let Ezd be the daily cumulative energy consumption of the i-th device; Ezd is the daily total energy consumption of all HVAC equipment.

[0043] As a further aspect of the present invention: the temperature and humidity sensor, human presence sensor, and CO2 concentration sensor of each zone are collected at a cycle synchronized with energy consumption data, and the indoor environmental parameters are stored according to the zone identifier; outdoor meteorological parameters are collected at a fixed cycle.

[0044] As a further aspect of the present invention, the interpolation completion process involves using a linear interpolation algorithm to complete the outdoor temperature and solar radiation intensity at non-collection time points, thereby aligning the indoor environmental parameters and outdoor meteorological parameters in time sequence.

[0045] As a further aspect of the present invention: Selecting the outdoor temperature, the linear interpolation algorithm is as follows:

[0046]

[0047] In the formula: TW t The outdoor temperature at the t-th time point after completion; t is the sequence number of the time point to be completed; TW k Let TW be the outdoor temperature at the k-th meteorological data collection time point; k+1 Let be the outdoor temperature at the (k+1)th meteorological data collection time point; k is the sequence number of the most recent meteorological data collection time point less than or equal to t, and satisfy k≤t<k+1;

[0048] At the same time, the same linear interpolation algorithm as the outdoor temperature logic is used to complete the solar radiation intensity at non-collection time points.

[0049] As a further aspect of the present invention, the rules for identifying inefficient air conditioning operation are as follows:

[0050] Calculate the actual energy efficiency ratio of the air conditioner in real time, that is, the cooling / heating capacity corresponding to a unit of power consumption;

[0051] The actual energy efficiency ratio was then compared with the rated energy efficiency ratio indicated on the equipment nameplate.

[0052] When the actual energy efficiency ratio is lower than 70% of the rated energy efficiency ratio, the air conditioner is judged to be in an inefficient operating state.

[0053] As a further aspect of the present invention, the formula for calculating the actual energy efficiency ratio of an air conditioner is as follows:

[0054] In cooling mode:

[0055]

[0056] In heating mode:

[0057]

[0058] Where: COP t EK represents the actual energy efficiency ratio of the air conditioner in the t-th data collection period; t The power consumption of the air conditioner during the t-th data collection period is represented by: Ca, specific heat capacity of air at constant pressure; ρa, air density; Va. t For air conditioning airflow; TS t This refers to the air supply temperature of the air conditioner.

[0059] As a further aspect of the present invention, the rules for identifying inefficient operation of underfloor heating are as follows:

[0060] By collecting data on the supply water temperature, return water temperature, and circulating water flow rate of the underfloor heating system, the effective heating capacity of the underfloor heating system is calculated. Combined with the energy consumption data of the boiler, the effective heating efficiency of the underfloor heating system is obtained.

[0061] When the effective heating efficiency is lower than the preset effective heating efficiency threshold and the water supply temperature exceeds the preset water supply temperature threshold, the underfloor heating is determined to be in an inefficient operating state.

[0062] As a further aspect of the present invention, the formula for calculating the effective heating efficiency of underfloor heating is as follows:

[0063]

[0064] Where: ηD t This represents the effective heating efficiency of the underfloor heating system during the t-th data collection period; ED t TG represents the energy consumption of the underfloor heating boiler during the t-th data collection period. t Indicates the temperature of the underfloor heating water supply; THt VX represents the return water temperature of the underfloor heating system; Cb is the specific heat capacity of water at constant pressure; ρb is the density of water; VX... t This refers to the flow rate of the circulating water in the underfloor heating system.

[0065] As a further aspect of the present invention: the rules for identifying inefficient operation of the fresh air system are as follows:

[0066] Based on the number of people indoors and CO2 concentration data, calculate the minimum fresh air volume required to maintain indoor environmental standards; then compare this with the actual air supply volume of the fresh air system.

[0067] When the actual air supply volume exceeds the preset multiple of the minimum fresh air volume, the fresh air system is determined to be in an inefficient operating state of excessive air exchange.

[0068] As a further aspect of the present invention, the formula for calculating the minimum fresh air volume is as follows:

[0069]

[0070] In the formula: VZ t CC is the minimum fresh air volume required at time point t. t Indicates indoor CO2 concentration;

[0071] C max This indicates the preset upper limit of indoor CO2 concentration; Np t Vp represents the number of people indoors at time t; Vp is the fresh air volume required per person; β is the CO2 concentration correction factor.

[0072] As a further aspect of the present invention, the collaborative control model includes: a collaborative and mutually exclusive control model for air conditioning and underfloor heating, and a linkage control model for fresh air and air conditioning / underfloor heating.

[0073] As a further aspect of the present invention, the control logic of the air conditioning and underfloor heating cooperative mutual exclusion control model is as follows:

[0074] First, determine the operating mode based on the current season: cooling or heating;

[0075] In cooling mode, the air conditioner will be selected to run first.

[0076] In heating mode, based on the indoor and outdoor temperature difference and equipment energy efficiency data, the unit energy consumption heat output of air conditioning and underfloor heating is compared, and the equipment with higher unit energy consumption heat output efficiency is selected for priority operation.

[0077] If the underfloor heating has a higher unit energy consumption heating efficiency, and the deviation between the indoor temperature and the indoor temperature set value is greater than the preset temperature difference threshold, then the underfloor heating will be controlled and the air conditioning heating function will be turned off.

[0078] If the air conditioner has a higher unit energy consumption heating efficiency, and the deviation between the indoor temperature and the indoor temperature set value is less than or equal to the preset temperature difference threshold, then the air conditioner will be controlled to operate, and the underfloor heating will be turned off.

[0079] As a further aspect of the present invention, the formula for calculating the unit energy consumption and heat output of an air conditioner is as follows:

[0080]

[0081] The formula for calculating the unit energy consumption and heat output of underfloor heating is as follows:

[0082]

[0083] In the formula: QKu t QDu provides heating for the unit energy consumption of air conditioning; t COPK provides heat per unit energy consumption for underfloor heating. t ηD represents the actual energy efficiency ratio of the air conditioner at time t. t This represents the effective heating efficiency of the underfloor heating system at time t; Q0u is the product of the lower heating value of the gas and the efficiency of the gas boiler.

[0084] As a further aspect of the present invention, the control logic of the fresh air and air conditioning / underfloor heating linkage control model is as follows:

[0085] The fresh air volume is dynamically adjusted based on the indoor and outdoor temperature difference:

[0086] When the temperature difference between indoors and outdoors exceeds the preset temperature difference threshold, the fresh air volume will be reduced.

[0087] At the same time, the set temperature of the air conditioner / underfloor heating is dynamically compensated according to the fresh air volume, that is, the set temperature compensation value of the air conditioner / underfloor heating is adjusted according to the fresh air volume.

[0088] The temperature compensation value is then added to the user-set temperature for the corresponding zone, and the resulting value is the actual set temperature after the air conditioning / underfloor heating adjustment.

[0089] As a further aspect of the present invention, the dynamic formula for adjusting the fresh air volume is as follows:

[0090]

[0091] Where: VDa t VZt is the fresh air volume adjusted for the fresh air system at time point t; VZt is the minimum required fresh air volume at time point t; TW t TN represents the outdoor temperature at time t. j,t This represents the indoor temperature of the j-th zone at time t; 0.05 is the temperature difference correction coefficient, used to reduce the fresh air volume under large temperature differences; and F is the collection period of outdoor meteorological parameters.

[0092] As a further aspect of the present invention, the formula for the temperature compensation value is as follows:

[0093]

[0094] Where: ΔTB t QKr is the set temperature compensation value for air conditioning / underfloor heating; Ca is the rated heating / cooling capacity of air conditioning / underfloor heating; ρa is the air density; VDa is the set temperature compensation value for air conditioning / underfloor heating. t The fresh air volume adjusted for the fresh air system at time point t; TW t TN represents the outdoor temperature at time t. j,t This represents the indoor temperature of the j-th partition at time t.

[0095] As a further aspect of the present invention, the differential parameter control method based on the regional personnel status is as follows:

[0096] Each room is treated as an independent control zone, and differentiated operating parameters are set according to the presence and frequency of use of personnel in each zone.

[0097] Specifically:

[0098] In each zone, the user sets a corresponding basic comfort temperature;

[0099] For occupied zones, the user-defined baseline comfort temperature is used.

[0100] For unoccupied zones, the heating mode automatically lowers the temperature to a preset value below the basic comfort temperature, while the cooling mode automatically raises the temperature to a preset value above the basic comfort temperature.

[0101] Simultaneously, the fresh air volume for each zone is independently controlled based on the number of people and CO2 concentration:

[0102] For unoccupied zones where CO2 concentration meets standards, the fresh air volume will be reduced to the minimum maintenance air volume.

[0103] For zones with at least one person and excessive CO2 concentration, the fresh air volume should be increased.

[0104] As a further aspect of the present invention, the differential parameter control method based on preset work and rest periods is as follows:

[0105] Divide the day into sleep time, morning time, time away from home, and time at home;

[0106] Each time period has preset temperature limits, fresh air volume limits, and equipment power limits.

[0107] As a further aspect of the present invention: the device operating parameters are automatically switched according to preset time nodes for each time period, without the need for manual operation by the user; at the same time, it supports user-defined time period division and corresponding device operating parameters.

[0108] As a further aspect of the present invention, the custom scene mode includes three scenario-based energy-saving strategies: away mode, sleep mode, and energy-saving mode. Users can switch the device's operating status by one-click triggering or automatic triggering.

[0109] As a further aspect of the present invention, the differentiated parameter control method based on the custom scene mode is as follows:

[0110] The Away Mode is automatically triggered if no one is in the house for more than the set time. At this time, only the temperature limit protection and intermittent fresh air are retained, and the rest of the HVAC equipment is turned off.

[0111] Among them, the temperature limit protection is to activate the low temperature / high temperature protection mode when the indoor temperature is below 10℃ or above 35℃, and maintain the temperature within the safe range of not lower than 10℃ or not higher than 35℃; the intermittent fresh air is to start ventilation when the indoor CO2 concentration exceeds 1500ppm, and the ventilation time shall not exceed 10 minutes.

[0112] The sleep mode reduces the operating noise of HVAC equipment by limiting the operating power of the air conditioner and underfloor heating and the fan speed of the fresh air system, thereby adjusting the bedroom temperature and fresh air volume to preset values.

[0113] The sleep mode is triggered by the user.

[0114] The energy-saving mode uniformly limits the maximum power of each HVAC equipment and extends the interval between continuous operation and shutdown of the equipment;

[0115] Each HVAC device is set with a minimum continuous operating time for a single session. The continuous operating time of the device is not less than the preset minimum value to avoid repeated start-ups and shutdowns in a short period of time.

[0116] The duration of a single shutdown is dynamically adjusted based on the indoor temperature deviation. The smaller the temperature deviation, the longer the equipment shutdown time, thereby lengthening the equipment start-up and shutdown interval and reducing the start-up and shutdown frequency.

[0117] (III) Beneficial Effects

[0118] This invention provides an integrated control system for smart home HVAC equipment. Compared with existing technologies, it has the following advantages:

[0119] This invention statistically analyzes the energy consumption of each HVAC unit individually and standardizes the energy consumption of different types of equipment to clearly understand the energy consumption ratio of each unit and quickly identify the equipment with high electricity and gas consumption. By intelligently prioritizing the operation of air conditioning or underfloor heating, dynamically adjusting the fresh air volume, and incorporating energy-saving modes such as "away" and "sleep" modes, it prevents equipment from wasting energy. Whether it's daily, weekly, or monthly, overall energy consumption will be reduced, saving users considerable costs.

[0120] In this invention, each room has its own dedicated sensor that monitors temperature, humidity, occupancy status, and CO2 concentration in real time. It also integrates data from outdoor temperature and solar radiation, using technology to synchronize indoor and outdoor data. Based on whether a room is occupied and changes in environmental parameters, the system intelligently adjusts the equipment's operating parameters, ensuring comfort in occupied areas without wasting energy. Furthermore, it adapts to seasonal and weather changes, meeting the environmental needs of different rooms at different times.

[0121] This invention establishes inefficiency identification standards for air conditioning, underfloor heating, and fresh air systems. By monitoring key indicators such as energy efficiency ratio and heating efficiency in real time, abnormal equipment operation can be detected promptly. Early warnings facilitate timely maintenance, preventing increased energy consumption and damage caused by prolonged inefficient operation, and extending the service life of the equipment. Furthermore, the invention optimizes equipment operating logic, reduces frequent start-stop cycles, and limits excessively high operating power, ensuring long-term stable and efficient system operation.

[0122] This invention integrates daily routines and customizable scenes. Whether switching automatically or triggering with a single click, users don't need to repeatedly adjust parameters manually, making it very convenient. Different rooms can receive appropriate temperature and airflow based on actual usage. For example, sleep mode optimizes the bedroom environment and reduces noise, while away mode automatically saves energy. The intelligent compensation mechanism also maintains a stable and comfortable environment, providing both peace of mind and an enhanced user experience. Attached Figure Description

[0123] Figure 1 This is a system block diagram of an integrated control system for smart home HVAC equipment according to the present invention. Detailed Implementation

[0124] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0125] Please see Figure 1 As shown, the embodiments of the present invention provide the following technical solutions:

[0126] As an embodiment of the present invention:

[0127] This invention relates to an integrated control system for smart home HVAC equipment, comprising:

[0128] The energy consumption acquisition module is used to collect data for each HVAC device individually and convert it to standard energy consumption.

[0129] In this embodiment, each HVAC unit is independently configured with an energy consumption acquisition module, which includes a smart meter, a water meter, and a gas meter;

[0130] Device-by-device data collection involves periodically collecting energy consumption data for each device.

[0131] In this embodiment, the collection period is a preset value, which is set to 1 minute.

[0132] Energy consumption data includes: instantaneous energy consumption values ​​collected from different HVAC equipment at different times, and denoted as E. i,t ;

[0133] in:

[0134] i=1,2,……n represent different HVAC equipment, where n is the total number of connected HVAC equipment;

[0135] t=1,2,……N represents the sequence number of the collection time point, and N is the total number of collection points in this collection process;

[0136] N is determined based on the preset total acquisition time T, and N = T / Δt, where Δt is the duration of a single acquisition cycle;

[0137] E i,t This represents the instantaneous energy consumption value collected by the i-th device at time t.

[0138] Standard energy consumption is uniformly converted by converting all energy consumption data into standard energy consumption values ​​through unit conversion.

[0139] Taking electrical energy corresponding to electrical equipment and gas energy corresponding to gas equipment as examples, the conversion process is as follows:

[0140] For electrical equipment (such as air conditioners and fresh air fans), the standard energy consumption value Es i,t Calculate using the following formula:

[0141]

[0142] In the formula:

[0143] Es i,t Let be the standard energy consumption value of the i-th electrical device in the t-th data collection period;

[0144] Ei,t Let be the instantaneous power of the i-th device at time t;

[0145] Δt is the duration of the acquisition cycle, which is 60 seconds in this formula;

[0146] For gas-fired equipment (such as gas-fired underfloor heating boilers), the standard energy consumption value Es i,t Calculate using the following formula:

[0147]

[0148] In the formula:

[0149] Es i,t Let be the standard energy consumption value of the i-th gas device in the t-th data collection period;

[0150] E i,t Let be the instantaneous gas flow rate of the i-th device at time t;

[0151] Δt is the duration of the data acquisition cycle, in hours. In this formula, Δt = 1 / 60 hours.

[0152] Q0 is the lower heating value of the gas;

[0153] The lower heating value represents the heat released when fuel is completely burned under constant volume conditions, and the latent heat of vaporization of water vapor in the flue gas needs to be deducted.

[0154] In this embodiment, the natural gas Q0 = 3.6 × 10 7 Joules per cubic meter.

[0155] The environmental sensing module is used to collect indoor environmental parameters and outdoor meteorological parameters in different zones, and to complete data interpolation.

[0156] In this embodiment, temperature and humidity sensors, human presence sensors, and light sensors are configured in each room (zone) to achieve zoned collection of indoor environmental data;

[0157] It also accesses outdoor weather station data to obtain outdoor temperature and solar radiation intensity data.

[0158] Indoor environmental data includes: indoor temperature, indoor humidity, occupancy status, and indoor light intensity in different zones at different times, and these are denoted as TN. j,t HN j,t P j,t L j,t ;

[0159] in:

[0160] j=1,2,……m represents different room zones, where m is the total number of rooms in the residence;

[0161] TN j,t This represents the indoor temperature of the j-th partition at time t.

[0162] HN j,t This represents the indoor humidity of the j-th partition at time t.

[0163] P j,t P represents the state of personnel in the j-th partition at time t. j,t =1 indicates that someone is present, P j,t =0 indicates no one is present;

[0164] L j,t This represents the indoor light intensity of the j-th partition at time t.

[0165] In this embodiment, the sensor acquisition cycle is synchronized with the energy consumption data, both being 1 minute.

[0166] Outdoor environmental data includes: outdoor temperature and solar radiation intensity at different times;

[0167] In this embodiment, the collection period of outdoor meteorological parameters is set to F, and the data at non-collection time points are supplemented by a linear interpolation algorithm;

[0168] Taking outdoor temperature as an example, the linear interpolation algorithm is as follows:

[0169]

[0170] In the formula:

[0171] TW t This represents the outdoor temperature at the t-th time point after completion.

[0172] t represents the sequence number of the time point that needs to be filled in;

[0173] TW k Let be the outdoor temperature at the k-th meteorological data collection time point;

[0174] TW k+1 The outdoor temperature at the (k+1)th meteorological data collection time point;

[0175] k is the sequence number of the most recent meteorological data collection time point that is less than or equal to t, and satisfies k≤t<k+1.

[0176] Similarly, the same linear interpolation algorithm as the outdoor temperature algorithm is used to complete the solar radiation intensity at non-collection time points.

[0177] The inefficiency identification module calculates the energy efficiency ratio of the air conditioner, the effective heating efficiency of the underfloor heating, and the required air volume of the fresh air by comparing energy consumption data with equipment operating parameters, and determines the inefficient operating status of the equipment.

[0178] The specific steps are as follows:

[0179] D1. Identification of inefficient operation of air conditioning equipment:

[0180] The actual energy efficiency ratio of the air conditioner is calculated in real time and compared with the rated energy efficiency ratio to determine whether it is in an inefficient state.

[0181] The actual energy efficiency ratio of an air conditioner is calculated as follows:

[0182]

[0183] In the formula:

[0184] EK t This represents the power consumption of the air conditioner during the t-th data collection period;

[0185] COP t This represents the actual energy efficiency ratio of the air conditioner during the t-th data collection period;

[0186] QK t This represents the heating / cooling capacity of the air conditioner during the t-th data collection period;

[0187] in:

[0188] QKt is calculated indirectly using indoor and outdoor temperature difference and air volume parameters;

[0189] During cooling:

[0190]

[0191] When heating:

[0192]

[0193] in:

[0194] Ca is the specific heat capacity of air at constant pressure, taken as 1005 joules / (kg·°C).

[0195] ρa is the air density, taken as 1.2 kg / m³;

[0196] Va t The air volume of the air conditioner is expressed in cubic meters per second in this embodiment.

[0197] TS t This refers to the air supply temperature of the air conditioner.

[0198] When COP tIf the value is less than 0.7 × COP0, the air conditioner is determined to be in an inefficient operating state, triggering the optimization process.

[0199] Where: COP0 represents the rated energy efficiency ratio of the air conditioner, which is determined by the parameters on the equipment nameplate;

[0200] D2. Identification of inefficient operation of underfloor heating equipment:

[0201] The effective heating efficiency of the underfloor heating system is calculated by collecting data on the supply water temperature, return water temperature, and indoor temperature.

[0202] pass:

[0203]

[0204] Calculate the effective heat supply QD of the underfloor heating system during the t-th data collection period. t ;

[0205] In the formula:

[0206] TG t Indicates the temperature of the underfloor heating water supply;

[0207] TH t Indicates the return water temperature of the underfloor heating system;

[0208] TG t -TH t For the temperature difference between supply and return water;

[0209] Cb is the specific heat capacity of water at constant pressure, taken as 4200 joules / (kg·°C).

[0210] ρb is the density of water, taken as 1000 kg / m³;

[0211] VX t The flow rate of the underfloor heating circulating water is, in this embodiment, expressed in cubic meters per second.

[0212] The unit of local warm water circulation flow rate is cubic meters per hour. To convert cubic meters per hour to cubic meters per second, divide by 3600.

[0213] The effective heating efficiency of underfloor heating is calculated as follows:

[0214]

[0215] In the formula:

[0216] ηD t This represents the effective heating efficiency of the underfloor heating system during the t-th data collection period.

[0217] ED t This represents the energy consumption value of the underfloor heating boiler during the t-th data collection period.

[0218] When ηD t If the water supply rate is less than 60% and the water supply temperature exceeds the preset water supply temperature threshold, the underfloor heating system is considered to be in an inefficient operating state.

[0219] Among them, the water supply temperature threshold refers to the maximum value of the reasonable operating range of the underfloor heating water supply temperature.

[0220] D3. Identification of inefficient operation of fresh air system equipment:

[0221] The appropriateness of the fresh air volume can be determined by analyzing data on indoor and outdoor temperature difference, number of people, and CO2 concentration, as follows;

[0222] The real-time air supply volume of the fresh air system is denoted as VS. t In this embodiment, the unit is cubic meters per hour;

[0223] Subsequently passed:

[0224]

[0225] Calculate the minimum fresh air volume VZ required at time point t. t ;

[0226] In the formula:

[0227] CC t The indoor CO2 concentration is expressed in ppm in this embodiment.

[0228] C max This indicates the preset upper limit of indoor CO2 concentration, which is set to 1000 ppm in this embodiment;

[0229] Np t The real-time number of people indoors is obtained by summarizing data from human presence sensors.

[0230] Vp is the fresh air volume required for a single person, which is taken as 30 cubic meters per hour in this embodiment;

[0231] β is the CO2 concentration correction factor, which represents the amount of fresh air required to increase when the indoor CO2 concentration exceeds the upper limit by 1 ppm; β is obtained based on engineering experience and experimental calibration, and is used to perform linear fresh air compensation for excessive CO2 concentration. In this embodiment, it is taken as 10 cubic meters per hour.

[0232] CC t -C max This is the difference between the current indoor CO2 concentration and the set upper limit for indoor CO2 concentration.

[0233] When VS t >1.5×VZ t If the system is in an inefficient operating state with excessive air exchange, it is determined that the fresh air system is in such a state.

[0234] Among them, VS t This indicates the real-time air volume supplied by the fresh air system.

[0235] This embodiment establishes a unified benchmark for energy consumption and environmental data by standardizing the collection and conversion of energy consumption of various HVAC equipment and synchronously collecting environmental parameters by zone. It enables accurate identification of inefficient operating states of equipment such as air conditioning, underfloor heating, and fresh air systems, providing reliable data support and judgment basis for subsequent optimization control, and improving the system's ability to perceive and diagnose the operating status of equipment.

[0236] As a second embodiment of the present invention:

[0237] In specific implementation, compared with Embodiment 1, the only difference between the technical solution of this embodiment and Embodiment 1 is that in this embodiment, the energy consumption acquisition module also calculates the device energy consumption ratio, as follows:

[0238] The daily cumulative energy consumption of each device is calculated, and the proportion of energy consumption of a single device to the total energy consumption is calculated to identify high-energy-consuming devices.

[0239] Taking daily cumulative energy consumption as an example, through:

[0240]

[0241] Calculate the daily cumulative energy consumption Ed of the i-th device. i ;

[0242] In the formula:

[0243] Nd represents the total number of data points collected per day. In this example, Nd = 1440 (corresponding to 24 hours × 60 minutes / hour).

[0244] Es i,t Let be the standard energy consumption value of the i-th device during the t-th data acquisition cycle.

[0245] Simultaneously through:

[0246]

[0247] Calculate the total daily energy consumption Ezd for all devices;

[0248] Final approval:

[0249]

[0250] Calculate the energy consumption ratio R of the i-th device. i ;

[0251] When the R of the i-th device iIf the energy consumption percentage exceeds the preset threshold (e.g., 30%), the device is determined to be a high-energy-consuming device and enters the key monitoring queue.

[0252] Based on Example 1, this embodiment achieves automatic identification and key monitoring of high-energy-consuming equipment by statistically analyzing the energy consumption of each device on a daily basis and calculating its proportion. It can accurately locate energy consumption anomalies, providing clear targets for subsequent energy-saving optimization, improving the system's ability to manage energy consumption distribution in a refined manner, and providing data basis for the formulation of targeted energy-saving strategies.

[0253] As an embodiment of the present invention:

[0254] In specific implementation, compared with Embodiment 1 and Embodiment 2, the technical solution of this embodiment is to combine the solutions of Embodiment 1 and Embodiment 2. The difference between the technical solution of this embodiment and Embodiment 1 and Embodiment 2 is only that in this embodiment, a collaborative control module is also included, which is used to realize the priority operation of air conditioning and floor heating, dynamic correction of fresh air volume and temperature compensation by establishing a collaborative control model.

[0255] The collaborative control model is as follows:

[0256] X1. Coordinated Control Model for Air Conditioning and Underfloor Heating

[0257] First, determine the current seasonal mode: in cooling mode, prioritize the operation of the air conditioner;

[0258] In heating mode, the optimal heating equipment is selected based on the temperature difference between indoors and outdoors. The method is to compare the unit energy consumption and heat output of air conditioning and underfloor heating, and select the more efficient equipment to operate.

[0259] The formulas for calculating the unit energy consumption and heat output of air conditioning and underfloor heating are as follows:

[0260]

[0261]

[0262] In the formula:

[0263] QKu t Provides heat for the unit energy consumption of air conditioners;

[0264] QDu t Provides heat for each unit of energy consumption of underfloor heating;

[0265] COPK t Let be the actual energy efficiency ratio of the air conditioner at time t.

[0266] ηD t This represents the effective heating efficiency of the underfloor heating system at time t.

[0267] Q0u is the product of the lower heating value of the gas and the efficiency of the gas boiler;

[0268] In this embodiment, the unit energy consumption heat output of the air conditioner refers to the heat generated per 1 joule of electrical energy consumed;

[0269] In this embodiment, Q0u is taken as 3.6×107×0.9=3.24×107 joules / cubic meter. When converting to unit energy consumption for heating, it is calculated according to the energy consumption unit of gas equipment, and finally compared with air conditioner with the same unit.

[0270] When QDu t >QKu t And ΔT j,t When the temperature is above 2℃, the underfloor heating will be controlled to operate in low water temperature mode, and the air conditioner will be turned off.

[0271] When QKu t >QDu t And ΔT j,t When the temperature is ≤2℃, the air conditioner will be turned off and the underfloor heating will be turned off to avoid the energy consumption from the simultaneous operation of the two devices.

[0272] Where: ΔT j,t =TD j -TN j,t , representing the indoor temperature difference of the j-th partition;

[0273] and:

[0274] TD j This represents the user-set temperature for the j-th partition, in degrees Celsius.

[0275] TN j,t This represents the indoor temperature of the j-th partition at time t.

[0276] X2, Coordinated Control Model for Fresh Air and Air Conditioning / Underfloor Heating

[0277] When a fresh air system is running, it introduces outdoor air, causing fluctuations in indoor temperature and increasing the energy consumption of air conditioning / underfloor heating.

[0278] The fresh air volume is dynamically adjusted based on the indoor and outdoor temperature difference, and the operating parameters of the air conditioner / underfloor heating are linked.

[0279] The dynamic formula for adjusting fresh air volume is as follows:

[0280]

[0281] In the formula:

[0282] VDa t The fresh air volume adjusted for the fresh air system at time point t;

[0283] VZt is the minimum required fresh air volume at time point t;

[0284] ΔTNW t Let be the absolute value of the indoor-outdoor temperature difference at time t, and:

[0285]

[0286] in:

[0287] TW t This represents the outdoor temperature at time point t.

[0288] TN j,t This represents the indoor temperature of the j-th partition at time t.

[0289] When ΔTNW t When the temperature is >10℃, take ΔTNW t =10℃;

[0290] The coefficient 0.05 is a temperature difference correction coefficient, used to reduce the fresh air volume under large temperature differences and reduce heat loss.

[0291] At the same time, adjust the set temperature compensation value of the air conditioner / underfloor heating according to the fresh air volume;

[0292] The formula is as follows:

[0293]

[0294] In the formula:

[0295] ΔTB t This is the set temperature compensation value for air conditioning / underfloor heating;

[0296] QKr represents the rated heating / cooling capacity of the air conditioner / underfloor heating system.

[0297] Ca is the specific heat capacity of air at constant pressure;

[0298] ρa is the air density;

[0299] VDa t The fresh air volume adjusted for the fresh air system at time point t;

[0300] TW t This represents the outdoor temperature at time point t.

[0301] TN j,t This represents the indoor temperature of the j-th partition at time t.

[0302] Adjust the actual set temperature of the air conditioner / underfloor heating to TD. j +ΔTB tThis offsets the temperature effect of the introduced fresh air and prevents the equipment from operating at high load frequently due to changes in the amount of fresh air.

[0303] Based on Examples 1 and 2, this embodiment constructs a collaborative control model for air conditioning and underfloor heating, realizing the optimal one-to-one operation of equipment in heating mode and avoiding the superposition of energy consumption; at the same time, through dynamic correction of fresh air volume and temperature compensation, the impact of fresh air introduction on indoor temperature is offset, reducing equipment load fluctuations and effectively improving the overall operating energy efficiency and control stability of the system.

[0304] As an embodiment of the present invention:

[0305] In specific implementation, compared with Embodiment 1, Embodiment 2 and Embodiment 3, the only difference between this embodiment and Embodiment 1, Embodiment 2 and Embodiment 3 is that this embodiment also includes a time-sharing and partitioning module, which issues differentiated equipment operating parameters and executes differentiated parameter control based on the partitioned personnel status, preset work and rest periods, and customized scene modes;

[0306] The differentiated parameter control method based on the regional personnel status is as follows:

[0307] By treating each room as an independent zone, different operating parameters are set according to the occupant status and usage frequency of each zone to achieve zoned energy-saving control, as follows:

[0308] A preset baseline comfort temperature is established for each zone, and the actual set temperature of each zone is dynamically adjusted based on the presence of people in the zone and the current operating mode.

[0309] When a zone detects the presence of people, the preset baseline comfort temperature is used directly as the zone's set temperature.

[0310] When no personnel are detected in the zone, adjust the set temperature according to the current operating mode:

[0311] In heating mode, the zone temperature setting will be lowered to a preset value below the basic comfort temperature;

[0312] In cooling mode, the zone temperature setting is raised to a preset value higher than the basic comfort temperature.

[0313] In this embodiment:

[0314] Let T be the baseline comfort temperature for the j-th zone. base,j ;

[0315] In heating mode, the zone temperature setting is reduced to a preset value of T below the basic comfort temperature. base,j -3℃;

[0316] In cooling mode, the zone temperature setting is raised to a preset value of T that is higher than the basic comfort temperature.base,j +3℃.

[0317] At the same time, the fresh air volume is independently controlled according to the number of people and CO2 concentration in each zone to avoid ineffective ventilation in unoccupied zones.

[0318] pass:

[0319]

[0320] Calculate the required fresh air volume VF for each zone. j,t ;

[0321] In the formula:

[0322] Np j,t This represents the number of people in the j-th partition at time t.

[0323] CC j,t This represents the CO2 concentration of the j-th partition at time t.

[0324] V1j,t represents the fresh air volume of the j-th partition at time t.

[0325] Vp is the required fresh air volume for a single person;

[0326] β is the CO2 concentration correction factor;

[0327] C max Set an upper limit for CO2 concentration.

[0328] When Np j,t =0 and CC j,t When the air volume is less than 800 ppm, the system controls the fresh air volume of that zone to be reduced to 30% of the basic ventilation volume, maintaining only the minimum air circulation requirement.

[0329] The differentiated parameter control method based on preset work and rest periods is as follows:

[0330] Based on the user's daily routine, the day is divided into multiple time periods, and different equipment operating parameters are set for each time period to achieve time-sharing energy-saving control.

[0331] In this embodiment, a day is divided into 4 time periods:

[0332] Time Segment 1: 0:00-6:00, sleep period;

[0333] Time Slot 2: 6:00-8:00, morning wake-up time;

[0334] Time slot 3: 8:00-18:00, time away from home;

[0335] Time period 4: 18:00-24:00, home hours.

[0336] For different time periods, corresponding temperature limits, fresh air volume limits, and equipment power limits are preset. Taking heating mode as an example:

[0337] For the sleep period corresponding to time period 1:

[0338] In each zone, the temperature limit is set to T by the user. base,j -2℃; Fresh air volume limit: Fresh air volume reduced to 50% of the baseline value; Equipment power limit parameters: Air conditioning / underfloor heating operating power limited to 60% of rated power;

[0339] For the morning period corresponding to time period 2:

[0340] Turn on the underfloor heating 30 minutes in advance to raise the living room temperature to T. base,j The bedroom temperature is maintained at T base,j At -1℃, the fresh air volume gradually returns to the baseline value;

[0341] For the time period corresponding to leaving home in time period 3:

[0342] Temperature limits: Except for the kitchen and bathroom, the temperature of other zones is set to 16℃; Fresh air volume limit: The fresh air system is off, i.e., the value is 0. The air conditioner / underfloor heating will only start the low temperature protection mode when the indoor temperature is below 14℃.

[0343] For the home-based time period corresponding to time period 4:

[0344] Temperature limits: Temperature in each zone restored to T base,j Fresh air volume limit: The fresh air volume is dynamically adjusted according to the number of people; Equipment power limit parameters: The operating power of air conditioning / underfloor heating is restored to the rated value.

[0345] The system automatically switches device operating parameters by matching timestamps with time periods, without requiring manual operation by the user.

[0346] The differentiated parameter control method based on custom scene modes is as follows:

[0347] The customizable scene modes include three scenario-based energy-saving strategies: Away Mode, Sleep Mode, and Energy Saving Mode. Users can trigger these strategies with a single click or automatically based on certain conditions.

[0348] The scenario-based energy-saving strategies for the "away from home" mode are as follows:

[0349] When the system detects that the presence status of personnel in all partitions is 0 (P) j,t =0, and automatically trigger the "away mode" for all j=1,2,……m) when the duration exceeds 10 minutes.

[0350] The device control logic in the away-from-home mode is as follows:

[0351] Air conditioning: Turn off, but retain temperature limit protection function;

[0352] Among them, the temperature limit protection function means that when the indoor temperature is below 10℃ or above 35℃, the low temperature / high temperature protection mode is activated to maintain the temperature within a safe range of not below 10℃ or not above 35℃.

[0353] Underfloor heating: Off, with the circulating water pump running at the lowest speed to prevent the pipes from freezing and cracking at low temperatures;

[0354] Fresh air system: Closed, while retaining intermittent fresh air function;

[0355] Among them, the intermittent fresh air function means that ventilation will be activated when the indoor CO2 concentration exceeds 1500ppm, and the ventilation time will not exceed 10 minutes.

[0356] Humidifier / Dehumidifier: Off.

[0357] The scenario-based energy-saving strategies for sleep mode are as follows:

[0358] Users can trigger sleep mode via mobile app or voice command;

[0359] Set personalized operating parameters based on the user's bedroom temperature and humidity preferences:

[0360] Bedroom temperature: Set to 18 to 20℃ in heating mode and 24 to 26℃ in cooling mode; can be customized by the user.

[0361] Bedroom fresh air volume: Adjusted according to the user's set sleep fresh air level, with the low level being 30% of the base value and the high level being 60% of the base value;

[0362] Other zones: The temperature in unoccupied zones such as the living room and study should be adjusted to the unoccupied mode parameters, and the fresh air system should be turned off;

[0363] Equipment operating noise control: The air conditioner fan speed is set to silent mode, and the fresh air system reduces the fan speed to reduce noise impact.

[0364] The scenario-based energy-saving strategies for energy-saving modes are as follows:

[0365] The energy-saving mode achieves continuous energy saving by limiting the operating power of the equipment and optimizing the start-stop logic.

[0366] In energy-saving mode, the power consumption of the equipment is limited by the following formula:

[0367]

[0368] In the formula:

[0369] PX iLet be the power limit value for the i-th device in energy-saving mode;

[0370] P max,i This represents the rated operating power of the i-th device;

[0371] α is the energy-saving coefficient, which is taken as 0.2 in this embodiment, meaning that the equipment's operating power is limited to 80% of the rated power;

[0372] Users can adjust the α value according to their energy-saving needs, ranging from 0.1 to 0.3.

[0373] At the same time, the system optimizes the start-up and shutdown logic of the equipment, extending the single running time of the equipment and reducing the number of start-ups and shutdowns as much as possible without affecting indoor temperature control. This is achieved through:

[0374]

[0375] Calculate the equipment start-up and shutdown interval tQT i ;

[0376] in:

[0377] t on,i This represents the duration of a single continuous run of the i-th device, in minutes.

[0378] t off,i This represents the duration of a single downtime for the i-th device, in minutes.

[0379] Duration t of a single continuous run on,i No less than 15 minutes;

[0380] Single downtime t off,i The system is dynamically adjusted based on the indoor temperature deviation; the smaller the deviation, the longer the downtime.

[0381] Based on embodiments one to three, this embodiment achieves differentiated control of equipment operating parameters based on the status of personnel in different zones, work and rest periods, and custom scenarios. Through parameter adjustment in unmanned mode, time-sharing operation strategies, and scenario-based energy-saving logic, it reduces ineffective energy consumption output, takes into account both user comfort and energy-saving needs, and significantly improves the system's personalized adaptability and energy-saving operation level.

[0382] As a fifth embodiment of the present invention:

[0383] In specific implementation, compared with Embodiment 1, Embodiment 2, Embodiment 3 and Embodiment 4, the technical solution of this embodiment is to combine the solutions of Embodiment 1, Embodiment 2, Embodiment 3 and Embodiment 4.

[0384] This embodiment integrates all the technical content of embodiments one through four, combining standardized energy consumption data acquisition, high-energy-consuming equipment identification, multi-device collaborative control, and time-sharing and zone-based scenario control into a complete closed-loop control system. Based on accurate identification of inefficient operation, it achieves targeted energy consumption optimization, collaborative energy saving of equipment, and scenario-based intelligent control, comprehensively improving the operating energy efficiency of the HVAC system while taking into account comfort, intelligence, and energy-saving effects.

[0385] It should be stated that all user data collected in this application was collected with the user's consent and authorization, and the use of user data is legal and compliant, and the use and processing of user data comply with the relevant laws, regulations and standards of the relevant regions.

[0386] Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0387] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0388] The above formulas are all dimensionless calculations. Dimensionless calculation involves introducing a reference benchmark, such as the maximum, minimum, standard deviation, or theoretical extreme value of a physical quantity, to transform the original physical quantity into a dimensionless relative value. This value is usually mapped to a specific interval, such as [0,1] or [-1,1], which eliminates the influence of units while preserving the relative size relationship of the physical quantities. The formula is derived from software simulation based on a large amount of collected data to obtain the most recent real-world results. The preset parameters and thresholds in the formulas are set by those skilled in the art according to the actual situation.

[0389] 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 alterations 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 claims and their equivalents.

[0390] The various embodiments of this application have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. An integrated control system for smart home HVAC equipment, characterized in that, include: The energy consumption acquisition module is used to collect data from each HVAC device individually, obtain energy consumption data, and perform standard energy consumption conversion on the energy consumption data of different HVAC devices. Energy consumption data refers to the instantaneous energy consumption values ​​collected from different HVAC equipment at different points in time; The environmental sensing module is used to collect indoor temperature, humidity, occupancy status, and CO2 concentration data in each room as independent zones as indoor environmental parameters, and simultaneously access outdoor weather station data to obtain outdoor temperature and solar radiation intensity as outdoor meteorological parameters. At the same time, interpolation and completion processing is performed on outdoor meteorological parameters that are not collected synchronously with indoor environmental parameters; The inefficiency identification module receives data transmitted from the energy consumption acquisition module and the environmental sensing module. Based on the collected energy consumption data, equipment operating parameters, and environmental data, it establishes specific inefficiency operation identification rules for air conditioning, underfloor heating, and fresh air equipment, respectively. Specifically, it calculates the energy efficiency ratio of air conditioning, the effective heating efficiency of underfloor heating, and the required air volume of fresh air by comparing energy consumption data with equipment operating parameters, and judges the inefficiency operation status of the equipment based on the calculation results. The collaborative control module is used to establish a collaborative control model based on the judgment results of the inefficient identification module, and to perform priority operation of air conditioning and underfloor heating, dynamic correction of fresh air volume, and temperature compensation control. The time-sharing and partitioning module is used to issue differentiated equipment operating parameters and execute differentiated parameter control based on the status of personnel in each partition, preset work and rest periods, and custom scene modes.

2. The integrated control system for smart home HVAC equipment according to claim 1, characterized in that: Data collection per device: Each device is numbered and assigned a unique identifier. Energy consumption data during its operation is continuously collected, and the corresponding collection timestamp is recorded.

3. The integrated control system for intelligent home HVAC equipment according to claim 1, characterized in that: Standard energy consumption conversion: HVAC equipment includes electrical equipment and gas equipment; For electrical equipment, the instantaneous power collected is converted into the cumulative power consumption for the corresponding time period according to the collection cycle; For gas-fired equipment, the instantaneous gas flow rate is collected and combined with the lower heating value of the gas to convert it into the corresponding heat consumption value. The energy consumption data of all HVAC equipment is ultimately converted into standard energy consumption values ​​in joules.

4. The integrated control system for intelligent home HVAC equipment according to claim 2, characterized in that: The energy consumption acquisition module also performs energy consumption statistics and identifies high-energy-consuming devices, as follows: Using the day as the time dimension, the cumulative daily energy consumption of a single device on a single day, as well as the total daily energy consumption of all devices, are calculated separately. Meanwhile, by calculating the ratio of the daily cumulative energy consumption of a single device to the total daily energy consumption, the energy consumption ratio of a single device is determined. When the energy consumption ratio of a single device exceeds the preset energy consumption ratio threshold, it is marked as a key monitoring device.

5. The integrated control system for intelligent home HVAC equipment according to claim 1, characterized in that: in, Temperature and humidity sensors, human presence sensors, and CO2 concentration sensors in each zone collect data at a cycle synchronized with energy consumption data, and store indoor environmental parameters according to zone identifiers; outdoor meteorological parameters are collected at a fixed cycle. The interpolation completion process uses a linear interpolation algorithm to complete the outdoor temperature and solar radiation intensity at non-collection time points, that is, to align the indoor environmental parameters and outdoor meteorological parameters in time sequence.

6. The integrated control system for intelligent home HVAC equipment according to claim 5, characterized in that: The rules for identifying inefficient air conditioning operation are as follows: Calculate the actual energy efficiency ratio of the air conditioner in real time, that is, the cooling / heating capacity corresponding to a unit of power consumption; The actual energy efficiency ratio was then compared with the rated energy efficiency ratio indicated on the equipment nameplate. When the actual energy efficiency ratio is lower than 70% of the rated energy efficiency ratio, the air conditioner is judged to be in an inefficient operating state. The rules for identifying inefficient underfloor heating are as follows: By collecting data on the supply water temperature, return water temperature, and circulating water flow rate of the underfloor heating system, the effective heating capacity of the underfloor heating system is calculated. Combined with the energy consumption data of the boiler, the effective heating efficiency of the underfloor heating system is obtained. When the effective heating efficiency is lower than the preset effective heating efficiency threshold and the water supply temperature exceeds the preset water supply temperature threshold, the underfloor heating is determined to be in an inefficient operating state. The rules for identifying inefficient operation of a fresh air system are as follows: Based on the number of people indoors and CO2 concentration data, calculate the minimum fresh air volume required to maintain indoor environmental standards; then compare this with the actual air supply volume of the fresh air system. When the actual air supply volume exceeds the preset multiple of the minimum fresh air volume, the fresh air system is determined to be in an inefficient operating state of excessive air exchange.

7. The integrated control system for intelligent home HVAC equipment according to claim 6, characterized in that: The collaborative control model includes: a collaborative and mutually exclusive control model for air conditioning and underfloor heating, and a coordinated control model for fresh air and air conditioning / underfloor heating. Its control logic is as follows: Air conditioning and underfloor heating coordinated and mutually exclusive control model: First, determine the operating mode based on the current season: cooling or heating; In cooling mode, the air conditioner will be selected to run first. In heating mode, based on the indoor and outdoor temperature difference and equipment energy efficiency data, the unit energy consumption heat output of air conditioning and underfloor heating is compared, and the equipment with higher unit energy consumption heat output efficiency is selected for priority operation. If the underfloor heating has a higher unit energy consumption heating efficiency, and the deviation between the indoor temperature and the indoor temperature set value is greater than the preset temperature difference threshold, then the underfloor heating will be controlled and the air conditioning heating function will be turned off. If the air conditioner has a higher unit energy consumption heating efficiency, and the deviation between the indoor temperature and the indoor temperature set value is less than or equal to the preset temperature difference threshold, then the air conditioner will be controlled to operate, and the underfloor heating will be turned off. Fresh air system and air conditioning / underfloor heating linkage control model: The fresh air volume is dynamically adjusted based on the indoor and outdoor temperature difference. When the temperature difference between indoors and outdoors exceeds the preset temperature difference threshold, the fresh air volume is reduced.

8. The integrated control system for intelligent home HVAC equipment according to claim 5, characterized in that: The differentiated parameter control method based on the occupant status of each zone treats each room as an independent control zone and sets differentiated operating parameters according to the occupant status and usage frequency of each zone; the method is as follows: Firstly, users set a corresponding basic comfort temperature for each zone; For occupied zones, the user-defined baseline comfort temperature is used. For unoccupied zones, the heating mode automatically lowers the temperature to a preset value below the basic comfort temperature, while the cooling mode automatically raises the temperature to a preset value above the basic comfort temperature. Simultaneously, the fresh air volume for each zone is independently controlled based on the number of people and CO2 concentration: For unoccupied zones where CO2 concentration meets standards, the fresh air volume will be reduced to the minimum maintenance air volume.

9. The integrated control system for intelligent home HVAC equipment according to claim 1, characterized in that: The differentiated parameter control method based on preset work and rest periods is as follows: Divide the day into sleep time, morning time, time away from home, and time at home; The system presets corresponding temperature limits, fresh air volume limits, and equipment power limits for each time period, and then automatically switches the equipment operating parameters for the corresponding time period based on the timestamp. It also supports user-defined time period divisions and corresponding equipment operating parameters.

10. The integrated control system for intelligent home HVAC equipment according to claim 8, characterized in that: The custom scene modes include three scenario-based energy-saving strategies: Away Mode, Sleep Mode, and Energy Saving Mode. The corresponding differentiated parameter control methods are as follows: The Away Mode is automatically triggered if no one is in the house for more than the set time. At this time, only the temperature limit protection and intermittent fresh air are retained, and the rest of the HVAC equipment is turned off. The sleep mode adjusts the bedroom temperature and fresh air volume to preset values ​​by limiting the operating power of the air conditioner and underfloor heating and the fan speed of the fresh air system; The energy-saving mode uniformly limits the maximum power of each HVAC device and extends the interval between continuous operation and shutdown of the equipment.

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