A HVAC intelligent installation and control system

Abstract

The present invention discloses an intelligent installation and control system for heating, ventilation and air conditioning, which relates to the field of installation and control, and includes a management center, wherein the management center is communicatively connected with an air conditioning data acquisition module, a heating, ventilation and air conditioning installation module, an air conditioning data analysis module, an air conditioning data processing module and a heating, ventilation and air conditioning control module, and collects usage status data and scale information data, sets a user interaction interface, and investigates user preference information; a heating, ventilation and air conditioning twin model is constructed according to the air conditioning analysis terminal, the scale information data and the usage status data, and an air conditioning installation report is generated; a normal body sensation value of the user is obtained according to real-time body posture information and portrait breathing information; domain source processing is performed on the coverage area according to the normal body sensation value of the user to obtain a heating, ventilation and air conditioning homogeneous area; a zone bias factor is obtained according to the user interaction interface, the real-time body posture information, the heating, ventilation and air conditioning homogeneous area and the user preference information, and the heating, ventilation and air conditioning is analyzed by the zone bias factor; the present invention improves energy consumption efficiency.

Description

Technical Field

[0001] The invention relates to the field of air conditioning installation and control, and in particular to an intelligent installation and control system for a heating, ventilation and air conditioning. Background Art

[0002] HVAC systems are one of the largest sources of energy consumption in buildings, especially in commercial buildings, industrial facilities and residential buildings. According to statistics, the energy consumption of air conditioning systems in some buildings can reach about 40% of the total energy consumption. As global energy resources become increasingly scarce, companies are looking for ways to improve energy efficiency to reduce energy waste and reduce carbon emissions.

[0003] However, traditional HVAC systems usually rely on manual adjustment, and it is difficult to accurately control indoor temperature and air quality, which can easily cause user discomfort. Users need to spend time adapting to the air conditioning function. Different users have different needs for HVAC. For this reason, a HVAC intelligent installation and control system is now provided. Summary of the invention

[0004] In order to solve the above technical problems, the object of the present invention is to provide a HVAC intelligent installation and control system, including a management center, the management center is communicatively connected with an air conditioning data acquisition module, a HVAC installation module, an air conditioning data analysis module, an air conditioning data processing module and a HVAC control module;

[0005] The air conditioning data collection module is used to collect the usage status data of the HVAC and the scale information data of the HVAC area, and to set up a user interaction interface to investigate user preference information;

[0006] The HVAC installation module is used to analyze the HVAC installation environment according to the air conditioning analysis terminal, scale information data and usage status data, build a HVAC twin model, analyze the HVAC twin model, generate an air conditioning installation report, and install the HVAC according to the air conditioning installation report;

[0007] The air conditioning data analysis module is used to collect the coverage area of ​​the installed HVAC and the real-time body posture information and portrait breathing information of the users in the coverage area, analyze the real-time body posture information and portrait breathing information through the user interaction interface, and obtain the normal body feeling value of the user;

[0008] The air conditioning data processing module is used to perform domain source processing on the HVAC coverage area according to the user's normal body sensation value to obtain the HVAC homogeneous area;

[0009] The HVAC control module is used to obtain the zone bias factor according to the user interaction interface, real-time body information, HVAC homogeneous areas and user preference information, analyze the HVAC according to the zone bias factor, and generate a control strategy.

[0010] Furthermore, the process of collecting HVAC usage status data and HVAC area size information data, setting up a user interaction interface, and investigating user preference information includes:

[0011] A HVAC information collection terminal is provided, wherein the HVAC information collection terminal is used to collect the usage status data of the HVAC; the usage status data includes facility information data and installation space information data; the facility information data includes brand and model; the installation space information data includes building scale volume, usage function, space population density and indoor environmental conditions of the building; the indoor environmental conditions of the building include wind speed value, humidity value and temperature value;

[0012] The scale information data includes building layout design information, building ventilation structure information, building drainage information, building pipe area and building wiring area;

[0013] The user interaction interface is provided with a user input terminal, an air conditioning input terminal, a user analysis terminal, an air conditioning analysis terminal, a user output terminal and an air conditioning output terminal; the user preference information includes user surrounding environment data, user identity information, user body perceived preference temperature, activity level and temperature comfort preference; the user surrounding environment data includes air temperature, humidity and wind speed, and the metabolic rate is obtained according to the user identity information.

[0014] Furthermore, based on the air conditioning analysis terminal, scale information data, and usage status data, the HVAC installation environment is analyzed, and the process of building the HVAC twin model includes:

[0015] Obtain HVAC structural data based on brand and model of facility information data using status data;

[0016] Based on the structural data, scale information data, usage status data and air conditioning analysis terminal, the HVAC physical model, building space model and indoor environmental status model are constructed. Based on the HVAC physical model, building space model and indoor environmental status model, the HVAC twin model is obtained.

[0017] Furthermore, the HVAC twin model is analyzed to generate an air conditioning installation report. The process of installing the HVAC according to the air conditioning installation report includes:

[0018] According to the HVAC twin model, the HVAC installation location, HVAC drainage planning, HVAC pipeline planning, HVAC wiring planning and HVAC installation steps are obtained, and the HVAC installation location, HVAC drainage planning, HVAC pipeline planning, HVAC wiring planning and HVAC installation steps are used to generate an air conditioning installation report;

[0019] The air conditioning installation report is sent to the user analysis end, the HVAC operation indicators are set, and the HVAC normal operation test is performed based on the air conditioning installation report, the HVAC physical model of the HVAC twin model, and the building space model. When the HVAC normal operation test results meet the HVAC operation indicators, the HVAC is installed according to the air conditioning installation report.

[0020] Furthermore, the installed HVAC collects the coverage area of ​​the HVAC and the real-time body posture information and portrait breathing information of the users in the coverage area, and analyzes the real-time body posture information and usage status data through the user interaction interface to obtain the normal body feeling value of the user, including:

[0021] Acquire the blowing area of ​​the HVAC, and obtain the blowing sub-area according to the blowing area; set a portrait collection terminal in the blowing sub-area; the real-time body information includes user information data, real-time clothing thermal insulation index, air outlet distance, user posture distance to user location area and recording time; the user information data includes human image information and facial image information; collect the wind speed setting, temperature setting, start time and shutdown time of the HVAC;

[0022] Based on real-time body posture information and usage status data, analyze the user's condition when the HVAC in the building is turned on to obtain the user's normal body sensation value;

[0023] Set the temperature adjustment factor; obtain the user's normal body sensation value based on the temperature value of the building's indoor environmental conditions using the status data, the temperature adjustment factor, and the user's clothing insulation index.

[0024] Furthermore, according to the user's normal body feeling value, the HVAC coverage area is processed by domain source, and the process of obtaining the HVAC homogeneous area includes:

[0025] Set the user's normal body feeling difference value; obtain the maximum user's normal body feeling value and the minimum user's normal body feeling value in the blowing sub-area. When the difference between the maximum user's normal body feeling value and the minimum user's normal body feeling value in the blowing sub-area is less than or equal to the user's normal body feeling difference value, the blowing sub-area is recorded as a HVAC homogeneous area, and the homogeneous interval is obtained;

[0026] When the difference between the maximum user normal somatosensory value and the minimum user normal somatosensory value in the blowing sub-area is greater than the user normal somatosensory difference value, a somatosensory judgment is made on the blowing sub-area adjacent to the HVAC same type area; when the user normal somatosensory value in the blowing sub-area belongs to the same type interval of the HVAC same type area, the user position area corresponding to the user normal somatosensory value is included in the HVAC same type area; when the user normal somatosensory value in the blowing sub-area does not belong to the same type interval of the HVAC same type area, each blowing sub-area is re-divided according to the user normal somatosensory difference value to obtain HVAC same type areas and same type intervals, and each HVAC same type area is provided with a HVAC air supply outlet.

[0027] Furthermore, the process of re-dividing each hair-drying sub-area according to the normal body feeling difference value of the user includes:

[0028] The minimum normal user somatosensory value in the blowing sub-area is obtained and recorded as the same-type lower limit of the blowing sub-area. The same-type upper limit is obtained according to the user's normal somatosensory difference value and the minimum user's normal somatosensory value. The same-type interval is obtained according to the same-type upper limit and the same-type lower limit. The same-type upper limit, the same-type lower limit, the blowing sub-area and the user's normal somatosensory value are used to obtain the HVAC same-type area.

[0029] Furthermore, according to the user interaction interface, real-time body information, HVAC homogeneous areas and user preference information, the zone bias factor is obtained, and the HVAC is analyzed according to the zone bias factor. The process of generating the control strategy includes:

[0030] Obtain the user's standard body feeling value based on the user's preferred information, ambient environment data, metabolic rate, activity level, and real-time clothing insulation index; obtain the wind speed setting, temperature setting, and start time of the same HVAC area through the user interaction interface, and continuously record the temperature value of the HVAC; set the user attenuation coefficient and the space attenuation coefficient; obtain the reduction value based on the user attenuation coefficient, user posture distance, space attenuation coefficient, and air outlet distance;

[0031] According to the recording time of real-time body information, the latest recording time and the initial recording time are obtained, and the user's continuous stay time is obtained according to the latest recording time and the initial recording time; the static time is obtained according to the initial recording time and the start time; the duration is obtained according to the static time and the user's continuous stay time; the air movement influence coefficient and the sensitivity coefficient are set; the temperature expansion value is obtained according to the air movement influence coefficient, the temperature value and the duration;

[0032] The user's suitable body sensation value is obtained according to the perception coefficient, the user's normal body sensation value and the user's continuous stay time; the zone deviation factor is obtained according to the temperature expansion value, the reduction value, the user's suitable body sensation value and the user's standard body sensation value; the deviation value is obtained according to the temperature expansion value, the reduction value and the user's standard body sensation value; the temperature of the HVAC is adjusted and set according to the deviation value, and the wind speed ratio is obtained according to the zone deviation factor; the wind speed of the HVAC is adjusted according to the wind speed ratio to generate a control strategy.

[0033] Compared with the prior art, the beneficial effects of the present invention are: setting up a user interaction interface, investigating user preference information, and users can monitor air-conditioning equipment anytime and anywhere; constructing a HVAC twin model, generating an air-conditioning installation report, and installing the HVAC according to the air-conditioning installation report, which can realize the intelligence of equipment and the convenience of life; analyzing real-time body information and portrait breathing information through the user interaction interface to obtain the user's normal body sensation value, and being able to obtain the user's body sensation state in real time, which is convenient for improving the user's comfort; obtaining HVAC homogeneous areas, which can improve energy efficiency, reduce energy consumption, reduce the overall energy consumption of the building, reduce operating costs, and comply with global energy conservation and environmental protection trends; analyzing the HVAC according to the zone bias factor, generating a control strategy, and being able to perform personalized zone control of the HVAC for users, achieving higher energy efficiency, improving user comfort, improving environmental quality, and supporting energy conservation and emission reduction goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a schematic diagram of a HVAC intelligent installation and control system according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] like Figure 1 As shown, a HVAC intelligent installation and control system includes a management center, and the management center is communicatively connected with an air conditioning data acquisition module, a HVAC installation module, an air conditioning data analysis module, an air conditioning data processing module, and a HVAC control module;

[0036] The air conditioning data collection module is used to collect the usage status data of the HVAC and the scale information data of the HVAC area, and to set up a user interaction interface to investigate user preference information;

[0037] The HVAC installation module is used to analyze the HVAC installation environment according to the air conditioning analysis terminal, scale information data and usage status data, build a HVAC twin model, analyze the HVAC twin model, generate an air conditioning installation report, and install the HVAC according to the air conditioning installation report;

[0038] The air conditioning data analysis module is used to collect the coverage area of ​​the installed HVAC and the real-time body posture information and portrait breathing information of the users in the coverage area, analyze the real-time body posture information and portrait breathing information through the user interaction interface, and obtain the normal body feeling value of the user;

[0039] The air conditioning data processing module is used to perform domain source processing on the HVAC coverage area according to the user's normal body sensation value to obtain the HVAC homogeneous area;

[0040] The HVAC control module is used to obtain a zone bias factor according to the user interaction interface, real-time body information, HVAC homogeneous areas and user preference information, analyze the HVAC according to the zone bias factor, and generate a control strategy.

[0041] It should be further explained that, in the specific implementation process, the air conditioning data collection module is used to collect the usage status data of the HVAC and the scale information data of the HVAC area, and set up a user interaction interface. The process of investigating the user preference information is as follows:

[0042] Setting a HVAC information collection terminal, wherein the HVAC information collection terminal is used to collect HVAC usage status data;

[0043] The usage status data includes facility information data and installation space information data; the facility information data includes brand and model; the installation space information data includes building scale volume, usage function, space density and building indoor environmental conditions; the building indoor environmental conditions include but are not limited to wind speed value, humidity value and temperature value;

[0044] It should be further clarified that, in the specific implementation process, the building referred to refers to the room where the HVAC is planned to be installed;

[0045] The scale information data includes building layout design information, building ventilation structure information, building drainage information, building pipe area and building wiring area;

[0046] The user interaction interface is provided with a user input terminal, an air conditioning input terminal, a user analysis terminal, an air conditioning analysis terminal, a user output terminal and an air conditioning output terminal; the user input terminal is used to input user preference information for air conditioning users; the user preference information includes user surrounding environment data, user identity information, user body perception preference temperature, activity level and temperature comfort preference; the user surrounding environment data includes air temperature, humidity and wind speed; the user inputs HVAC usage status data at the air conditioning input terminal; the user analysis terminal is used to analyze the information data in the user input terminal; the air conditioning analysis terminal is used to analyze the information data in the air conditioning input terminal; the user output terminal is used to output the analysis result of the user analysis terminal; the air conditioning output terminal is used to output the analysis result of the air conditioning analysis terminal; and the basal metabolic rate is calculated according to the user identity information to obtain the metabolic rate;

[0047] It should be further explained that, in the specific implementation process, the user identity information includes body image information, facial image information and basic information; the user's basic information includes age, gender, weight and height, and the basal metabolic rate is calculated based on the basic information of the user identity information to obtain the metabolic rate.

[0048] It should be further explained that, in the specific implementation process, the HVAC installation module is used to analyze the HVAC installation environment according to the air conditioning analysis terminal, scale information data and usage status data, build a HVAC twin model, analyze the HVAC twin model, generate an air conditioning installation report, and install the HVAC according to the air conditioning installation report. The process is as follows:

[0049] Analyze the HVAC installation environment based on the air conditioning analysis terminal, scale information data, and usage status data, and build a HVAC twin model;

[0050] It should be further explained that, in the specific implementation process, the installation environment of the HVAC is analyzed according to the scale information data and the usage status data, and the specific process of constructing the HVAC twin model is as follows: the brand and model in the facility information data of the usage status data are searched through big data to obtain the structural data of the HVAC; the structural data, scale information data and usage status data are sent to the air conditioning analysis end, the air conditioning analysis end constructs the HVAC physical model through the HVAC structural data, the air conditioning analysis end constructs the building space model through the scale information data and the building scale volume, the air conditioning analysis end constructs the indoor environment state model through the indoor environment conditions of the building, and the HVAC physical model, the building space model and the indoor environment state model are integrated to obtain the HVAC twin model;

[0051] The HVAC twin model is analyzed to generate an air conditioning installation report;

[0052] It needs to be further explained that, in the specific implementation process, the specific process of analyzing the HVAC twin model is: installing and analyzing the HVAC twin model through big data, obtaining the HVAC installation location, HVAC drainage planning, HVAC piping planning, HVAC wiring planning and HVAC installation steps, and generating an air conditioning installation report based on the HVAC installation location, HVAC drainage planning, HVAC piping planning, HVAC wiring planning and HVAC installation steps; sending the air conditioning installation report to the user analysis end, and using the air conditioning installation report to analyze the HVAC twin model. A HVAC physical model of the type is installed in the building space model to perform a HVAC normal operation test, wherein the HVAC normal operation test includes an equipment startup test, a temperature control test, an air flow test, a humidity control test, a performance test, and a noise and vibration test; HVAC operation indicators are set; the HVAC operation indicators include an equipment startup indicator, a temperature control indicator, an air flow indicator, a humidity control indicator, a performance indicator, and a noise and vibration indicator; when the HVAC normal operation test result meets the HVAC operation indicator, the air conditioning installation report can be used for HVAC installation, and the air conditioning installation report is sent to the air conditioning output terminal;

[0053] The air conditioner output terminal sends the air conditioner installation report to the user interaction interface, provides the user with a HVAC installation strategy, and installs the HVAC according to the air conditioner installation report.

[0054] It should be further explained that, in the specific implementation process, the air conditioning data analysis module is used to collect the coverage area of ​​the HVAC and the real-time body posture information and usage status data of the users in the coverage area of ​​the installed HVAC, and analyze the real-time body posture information and portrait breathing information through the user interaction interface to obtain the normal body sensation value of the user as follows:

[0055] The blowing area of ​​the HVAC is obtained, and the blowing area is divided into several area blocks, which are recorded as blowing sub-areas; a portrait collection terminal is set in the blowing sub-area to obtain the user's real-time body information and portrait breathing information; the real-time body information includes user information data, real-time clothing thermal insulation index, air outlet distance, user posture distance, user location area and recording time; the user posture distance is the distance between the highest point of the posture and the lowest point of the posture under the user's posture; the user information data includes human image information and facial image information; when the portrait collection terminal in the single control area recognizes the portrait breathing information, the user input terminal of the user interaction interface pops up to collect the user preference information of the user; the wind speed setting, temperature setting, start time and shutdown time of the HVAC are collected, and recorded in the user interaction interface;

[0056] Based on real-time body posture information and usage status data, analyze the user's condition when the HVAC in the building is turned on to obtain the user's normal body sensation value;

[0057] It should be further explained that, in the specific implementation process, based on the real-time body posture information and usage status data, the specific process of analyzing the user in the condition of HVAC on in the building includes: setting a temperature adjustment factor, which is related to the indoor environmental conditions of the building; summing the temperature value of the indoor environmental conditions of the building of the usage status data and the temperature adjustment factor, and performing a difference calculation between the obtained calculation result and the user's clothing thermal insulation index to obtain the user's normal body sensation value.

[0058] It should be further explained that, in the specific implementation process, the air conditioning data processing module is used to perform domain source processing on the coverage area of ​​the HVAC according to the normal body feeling value of the user, and the process of obtaining the HVAC homogeneous area is as follows:

[0059] Mark the user's normal body feeling value in the corresponding blowing sub-area according to the user's location area; set the user's normal body feeling difference value; obtain the maximum user normal body feeling value and the minimum user normal body feeling value in the blowing sub-area. When the difference between the maximum user normal body feeling value and the minimum user normal body feeling value in the blowing sub-area is less than or equal to the user's normal body feeling difference value, the blowing sub-area is recorded as the HVAC same type area, the maximum user normal body feeling value is recorded as the same type upper limit, and the minimum user normal body feeling value is recorded as the same type lower limit. According to the same type upper limit and the same type lower limit, the same type interval is obtained; when the maximum user normal body feeling value in the blowing sub-area When the difference between the normal somatosensory value and the minimum normal somatosensory value of the user is greater than the normal somatosensory difference value of the user, a somatosensory judgment is made on the blowing sub-areas adjacent to the HVAC homogeneous area. When the normal somatosensory value of the user in the blowing sub-area belongs to the homogeneous interval of the HVAC homogeneous area, the user position area corresponding to the normal somatosensory value of the user is included in the HVAC homogeneous area; when the normal somatosensory value of the user in the blowing sub-area does not belong to the homogeneous interval of the HVAC homogeneous area, each blowing sub-area is re-divided according to the normal somatosensory difference value of the user to obtain the HVAC homogeneous area and the homogeneous interval, and each HVAC homogeneous area is provided with a HVAC air supply outlet;

[0060] It needs to be further explained that, in the specific implementation process, the specific process of re-dividing each blowing sub-area according to the user's normal somatosensory difference value is as follows: obtain the minimum user normal somatosensory value in the blowing sub-area and record it as the same type lower limit of the blowing sub-area, add the user's normal somatosensory difference value and the minimum user normal somatosensory value to obtain the same type upper limit; record the interval composed of the same type upper limit and the same type lower limit as the same type interval; screen the user's normal somatosensory values ​​in the blowing sub-area according to the same type upper limit and the same type lower limit, and divide the user's normal somatosensory values ​​into the blowing sub-areas corresponding to the same type intervals, until all the user positions corresponding to the user's normal somatosensory values ​​are divided, and the blowing sub-areas are recorded as HVAC same type areas.

[0061] It should be further explained that, in the specific implementation process, the HVAC control module is used to obtain the zone bias factor according to the user interaction interface, real-time body information, HVAC homogeneous areas and user preference information, and analyze the HVAC according to the zone bias factor to generate the control strategy process as follows:

[0062] The thermal comfort model is used to evaluate the user's surrounding environment data, metabolic rate, activity level, and real-time clothing insulation index to obtain the user's standard body sensation value.

[0063] Upload the real-time body posture information and user preference information to the user analysis terminal of the user interaction interface, and analyze the real-time body posture information and user preference information;

[0064] It should be further explained that, in the specific implementation process, the specific process of analyzing the real-time posture information and user preference information is as follows: through the user interaction interface, the wind speed setting, temperature setting, and start-up time of the HVAC same type area are obtained, and the temperature value of the HVAC is continuously recorded; the user attenuation coefficient is set, and the user attenuation coefficient is related to the user's surrounding environmental data; the space attenuation coefficient is set, and the space attenuation coefficient is related to the indoor environmental conditions of the building; the product result of the user attenuation coefficient and the user posture distance is added to the product result of the space attenuation coefficient and the air outlet distance to obtain the reduction value; according to the recording time of the real-time posture information, the recorded information of the real-time posture information is continuously recorded, the latest recording time and the initial recording time are obtained, and the latest recording time is compared with the initial recording time. The initial recording time is calculated by difference to obtain the user's continuous stay time; the initial recording time and the start time are calculated by difference to obtain the static time; the static time and the user's continuous stay time are summed to obtain the duration; the air movement influence coefficient is set, and the air movement influence coefficient is related to the speed of the molecular diffusion movement in the air; the sensory response coefficient is set, and the sensory response coefficient is related to the user's somatosensory value; the air movement influence coefficient, the temperature value and the duration are multiplied to obtain the temperature expansion value; the sensory response coefficient, the user's normal somatosensory value and the user's continuous stay time are multiplied to obtain the user's suitable somatosensory value; the difference between the temperature expansion value and the reduction value is calculated by ratio with the difference between the user's suitable somatosensory value and the user's standard somatosensory value to obtain the zone deviation factor;

[0065] The difference calculation result of the temperature expansion value and the reduction value is calculated with the user's standard body feeling value to obtain the deviation value; the temperature of the HVAC is adjusted and set according to the deviation value, and the zone deviation factor is percentage-based to obtain the wind speed ratio; the wind speed of the HVAC is adjusted according to the wind speed ratio to generate a control strategy.

[0066] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A heating, ventilation and air conditioning intelligent installation and control system, including a management center, characterized in that: The management center is communicatively connected to an air conditioning data acquisition module, a HVAC installation module, an air conditioning data analysis module, an air conditioning data processing module, and a HVAC control module; The air conditioning data collection module is used to collect the usage status data of the HVAC and the scale information data of the HVAC area, and to set up a user interaction interface to investigate user preference information; The HVAC installation module is used to analyze the HVAC installation environment according to the air conditioning analysis terminal, scale information data and usage status data, build a HVAC twin model, analyze the HVAC twin model, generate an air conditioning installation report, and install the HVAC according to the air conditioning installation report; The air conditioning data analysis module is used to collect the coverage area of ​​the installed HVAC and the real-time body posture information and portrait breathing information of the users in the coverage area, analyze the real-time body posture information and portrait breathing information through the user interaction interface, and obtain the normal body feeling value of the user; The air conditioning data processing module is used to perform domain source processing on the HVAC coverage area according to the user's normal body sensation value to obtain the HVAC homogeneous area; The HVAC control module is used to obtain the zone bias factor according to the user interaction interface, real-time body information, HVAC homogeneous areas and user preference information, analyze the HVAC according to the zone bias factor, and generate a control strategy; The process of generating a governance strategy includes: Obtain the user's standard body feeling value based on the user's preferred information, ambient environment data, metabolic rate, activity level, and real-time clothing insulation index; obtain the wind speed setting, temperature setting, and start time of the same HVAC area through the user interaction interface, and continuously record the temperature value of the HVAC; set the user attenuation coefficient and space attenuation coefficient; According to the recording time of real-time posture information, the latest recording time and the initial recording time are obtained, and the user's continuous stay time is obtained according to the latest recording time and the initial recording time; the static time is obtained according to the initial recording time and the startup time; the duration is obtained according to the static time and the user's continuous stay time; the air movement influence coefficient and the sensitivity coefficient are set; the temperature of the HVAC is adjusted according to the deviation value, and the wind speed ratio is obtained according to the zone deviation factor; the wind speed of the HVAC is adjusted according to the wind speed ratio to generate a control strategy; Among them, the user attenuation coefficient is related to the user's surrounding environment data; the space attenuation coefficient is related to the indoor environmental conditions of the building; the product result of the user attenuation coefficient and the user posture distance is added to the product result of the space attenuation coefficient and the air supply outlet distance to obtain the reduction value; the air movement influence coefficient is related to the speed of molecular diffusion movement in the air; the perception coefficient is related to the user's body perception value; the air movement influence coefficient, temperature value and duration are multiplied to obtain the temperature expansion value; the perception coefficient, the user's normal body perception value and the user's continuous stay time are multiplied to obtain the user's suitable body perception value; the difference between the temperature expansion value and the reduction value is calculated by ratio with the difference between the user's suitable body perception value and the user's standard body perception value to obtain the zone deviation factor; the difference calculation result of the temperature expansion value and the reduction value is calculated by difference with the user's standard body perception value to obtain the deviation value.

2. The HVAC intelligent installation and control system according to claim 1, characterized in that: The process of collecting HVAC usage status data and HVAC area size information data, setting up a user interaction interface, and investigating user preference information includes: A HVAC information collection terminal is provided, wherein the HVAC information collection terminal is used to collect the usage status data of the HVAC; the usage status data includes facility information data and installation space information data; the facility information data includes brand and model; the installation space information data includes building scale volume, usage function, space population density and indoor environmental conditions of the building; the indoor environmental conditions of the building include wind speed value, humidity value and temperature value; The scale information data includes building layout design information, building ventilation structure information, building drainage information, building pipe area and building wiring area; The user interaction interface is provided with a user input terminal, an air conditioning input terminal, a user analysis terminal, an air conditioning analysis terminal, a user output terminal and an air conditioning output terminal; the user preference information includes user surrounding environment data, user identity information, user body perceived preference temperature, activity level and temperature comfort preference; the user surrounding environment data includes air temperature, humidity and wind speed, and the metabolic rate is obtained according to the user identity information.

3. The HVAC intelligent installation and control system according to claim 2, characterized in that: Based on the air conditioning analysis terminal, scale information data, and usage status data, the HVAC installation environment is analyzed and the process of building the HVAC twin model includes: Obtain HVAC structural data based on brand and model of facility information data using status data; Based on the structural data, scale information data, usage status data and air conditioning analysis terminal, the HVAC physical model, building space model and indoor environmental status model are constructed. Based on the HVAC physical model, building space model and indoor environmental status model, the HVAC twin model is obtained.

4. The HVAC intelligent installation and control system according to claim 3, characterized in that: Analyze the HVAC twin model and generate an air conditioning installation report. The process of installing the HVAC according to the air conditioning installation report includes: According to the HVAC twin model, the HVAC installation location, HVAC drainage planning, HVAC pipeline planning, HVAC wiring planning and HVAC installation steps are obtained, and the HVAC installation location, HVAC drainage planning, HVAC pipeline planning, HVAC wiring planning and HVAC installation steps are used to generate an air conditioning installation report; The air conditioning installation report is sent to the user analysis end, the HVAC operation indicators are set, and the HVAC normal operation test is performed based on the air conditioning installation report, the HVAC physical model of the HVAC twin model, and the building space model. When the HVAC normal operation test results meet the HVAC operation indicators, the HVAC is installed according to the air conditioning installation report.

5. The HVAC intelligent installation and control system according to claim 4, characterized in that: The process of collecting the coverage area of ​​the installed HVAC and the real-time body posture information and breathing information of the users in the coverage area, analyzing the real-time body posture information and usage status data through the user interaction interface, and obtaining the normal body sensation value of the user includes: Acquire the blowing area of ​​the HVAC, and obtain the blowing sub-area according to the blowing area; set a portrait collection terminal in the blowing sub-area; the real-time body information includes user information data, real-time clothing thermal insulation index, air outlet distance, user posture distance to user location area and recording time; the user information data includes human image information and facial image information; collect the wind speed setting, temperature setting, start time and shutdown time of the HVAC; Based on real-time body posture information and usage status data, analyze the user's condition when the HVAC in the building is turned on to obtain the user's normal body sensation value; Set the temperature adjustment factor; obtain the user's normal body sensation value based on the temperature value of the building's indoor environmental conditions, the temperature adjustment factor, and the user's clothing insulation index using the status data; The temperature adjustment factor is related to the indoor environmental conditions of the building.

6. The HVAC intelligent installation and control system according to claim 5, characterized in that: According to the user's normal body sensation value, the HVAC coverage area is processed by domain source, and the process of obtaining the HVAC homogeneous area includes: Set the user's normal body feeling difference value; obtain the maximum user's normal body feeling value and the minimum user's normal body feeling value in the blowing sub-area. When the difference between the maximum user's normal body feeling value and the minimum user's normal body feeling value in the blowing sub-area is less than or equal to the user's normal body feeling difference value, the blowing sub-area is recorded as a HVAC homogeneous area, and the homogeneous interval is obtained; When the difference between the maximum user normal somatosensory value and the minimum user normal somatosensory value in the blowing sub-area is greater than the user normal somatosensory difference value, a somatosensory judgment is made on the blowing sub-area adjacent to the HVAC same type area; when the user normal somatosensory value in the blowing sub-area belongs to the same type interval of the HVAC same type area, the user position area corresponding to the user normal somatosensory value is included in the HVAC same type area; when the user normal somatosensory value in the blowing sub-area does not belong to the same type interval of the HVAC same type area, each blowing sub-area is re-divided according to the user normal somatosensory difference value to obtain HVAC same type areas and same type intervals, and each HVAC same type area is provided with a HVAC air supply outlet.

7. The HVAC intelligent installation and control system according to claim 6, characterized in that: The process of re-dividing each hair-drying sub-area according to the normal body feeling difference value of the user includes: The minimum normal user somatosensory value in the blowing sub-area is obtained and recorded as the same-type lower limit of the blowing sub-area. The same-type upper limit is obtained according to the user's normal somatosensory difference value and the minimum user's normal somatosensory value. The same-type interval is obtained according to the same-type upper limit and the same-type lower limit. The same-type upper limit, the same-type lower limit, the blowing sub-area and the user's normal somatosensory value are used to obtain the HVAC same-type area.

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