CN114738874A - Intelligent air conditioner based on regulation and control of Internet of things and control method thereof - Google Patents

Abstract

The invention discloses an intelligent air conditioner based on regulation and control of the Internet of things and a control method thereof, wherein the device comprises: the air inlet quantity adjusting device and the air outlet quantity adjusting mechanism of the refrigerating device, the heating device are arranged in the first box body, and the method comprises the following steps: the method comprises the steps of detecting the space temperature of a target space where the intelligent air conditioner is located, calling an expected refrigerating temperature or an expected heating temperature corresponding to the space temperature in a preset database according to the space temperature, determining the air inflow of the intelligent air conditioner according to the expected refrigerating temperature or the expected heating temperature, and controlling the intelligent air conditioner to refrigerate or heat the target space by the air inflow. According to the invention, the air inlet quantity adjusting device is arranged, so that the problems that the air quantity introduced into the air inlet pipe cannot be controlled in the use process of the traditional air conditioner, the air is not sufficiently reacted in the refrigerating or heating process, and the refrigerating or heating effect is poor are solved.

Description

Intelligent air conditioner based on regulation and control of Internet of things and control method thereof

Technical Field

The invention relates to the technical field of air conditioning systems, in particular to an intelligent air conditioner based on regulation and control of the Internet of things and a control method thereof.

Background

Air conditioners (Air conditioners) are Air conditioners. The device is equipment for adjusting and controlling parameters such as temperature, humidity, flow rate and the like of ambient air in a building or a structure by manual means; the air conditioner is an indispensable part of people in modern life, provides cool for people, but is easy to cause diseases when being always on, such as 'air conditioning diseases' and the like, and needs to be used with caution.

In order to solve the problems, the invention favorably solves the defects of the technical problems by arranging the air inlet quantity adjusting device and controlling the air inlet quantity of the air inlet pipe.

Disclosure of Invention

The invention provides an intelligent air conditioner based on regulation and control of the Internet of things, which aims to improve the following problems in the background technology: the traditional air conditioner can not control the air volume introduced into the air inlet pipe in the using process, so that the air is not fully reacted in the refrigerating or heating process, and the refrigerating or heating effect is not good.

In order to solve the technical problem, the invention discloses an intelligent air conditioner based on regulation and control of the Internet of things, which comprises a refrigerating device, a heating device, an air intake regulating device and an air output regulating mechanism, wherein the refrigerating device, the heating device, the air intake regulating device and the air output regulating mechanism are arranged in a box body I;

the refrigerator top fixed mounting be in on the box inner wall, just both ends communicate with intake pipe one and connecting pipe one respectively about the refrigerator, the device bottom fixed mounting of heating is in on the box inner wall, just both ends communicate with intake pipe two and connecting pipe two respectively about the heater, intake pipe one and intake pipe two left sides with box one intercommunication, just intake pipe one and two inside fixed mounting respectively of intake pipe have filter screen one, connecting pipe one and the two other ends of connecting pipe with air output adjustment mechanism communicates.

Preferably, the intake adjusting device is arranged on the inner wall of the left end of the box body, and comprises: the first motor is fixedly arranged on the inner wall of the left end of the first box body, an output shaft of the first motor is fixedly provided with a T-shaped threaded rod and a threaded sleeve, the threaded sleeve is in threaded connection with the T-shaped threaded rod, and the threaded sleeve is symmetrically provided with gas adjusting mechanisms from top to bottom;

the gas regulating mechanism includes: the sliding blocks are respectively connected to the inner walls of the first air inlet pipe and the second air inlet pipe close to one end of the motor in a sliding mode;

the adjusting plate is fixedly arranged on the sliding block at one end far away from the motor;

and two ends of the connecting rod are respectively connected with the sliding block and the threaded sleeve.

Preferably, the air output adjusting mechanism includes:

the right end of the box body II is fixedly arranged on the inner wall of the box body I, a plurality of through holes are formed in the box body I at the right end of the box body II, and the left end of the box body II is communicated with the connecting pipe I and the connecting pipe II;

the upper end and the lower end of the fixed rod are fixedly arranged on the inner wall of the second box body, and a second motor is fixedly arranged on the fixed rod;

the fan blades are fixedly arranged on an output shaft of the motor II;

the upper end and the lower end of the second filter screen are fixedly arranged on the inner wall of the second box body;

the filter screen two with filter screen one structure is the same, is the multilayer and adjusts the structure, first filter and second filter including mutual lock, first filter and second filter are the fretwork network structure of constituteing by the net strip, first filter with install the clean layer of screen cloth between the second filter, first filter with on the second filter along net strip interval is provided with a plurality of rotatable accent wind dogs, the both ends of accent wind dog articulate on the net strip and with the drive block be connected, by the drive block drive transfer the wind dog with adjust its turned angle, the intensive miniature bleeder vent that is equipped with on the accent wind dog.

An intelligent air conditioner control method comprises the following steps:

detecting the space temperature of a target space where the intelligent air conditioner is located;

calling an expected refrigerating temperature or an expected heating temperature corresponding to the space temperature from a preset database according to the space temperature;

determining the air intake quantity of the intelligent air conditioner according to the expected cooling temperature or the expected heating temperature;

controlling the intelligent air conditioner to refrigerate or heat a target space by the air inflow;

wherein, the air input of the intelligent air conditioner is determined by the following method:

determining the refrigerating capacity or the heating capacity corresponding to the expected refrigerating temperature or the expected heating temperature respectively;

determining the gas conversion efficiency of the intelligent air conditioner according to the working parameters of the intelligent air conditioner;

and calculating the refrigerating air inflow or the heating air inflow of the intelligent air conditioner according to the gas conversion efficiency, the refrigerating efficiency or the heating efficiency of the intelligent air conditioner and the refrigerating capacity or the heating capacity.

Preferably, the detecting the space temperature of the target space where the intelligent air conditioner is located includes:

acquiring a first temperature value detected by a temperature sensor in the target space;

determining the number of heat sources in a target space and the maximum heat dissipation amount of each heat source;

estimating a space temperature correction coefficient in a target space according to the number of the heat sources and the maximum heat dissipation amount of each heat source;

and correcting the first temperature value according to the space temperature correction coefficient to obtain a second temperature value, and determining the second temperature value as the space temperature of the target space.

Preferably, the retrieving, according to the space temperature, an expected cooling temperature or an expected heating temperature corresponding to the space temperature in a preset database includes:

inputting the space temperature into a preset library to determine an ideal heating temperature interval or an ideal refrigerating temperature interval of the target space;

obtaining a layout structure of a target space, and determining a ventilation index and a sealing coefficient of the target space according to the layout structure;

calculating a relative humidity threshold or a relative temperature threshold of the target space according to the ventilation index and the sealing coefficient in combination with the ambient temperature outside the target space;

and selecting the heating temperature or the cooling temperature which is closest to the relative humidity threshold value or the relative temperature threshold value from the ideal heating temperature interval or the ideal cooling temperature interval as the expected cooling temperature or the expected heating temperature corresponding to the space temperature.

Preferably, after determining the desired refrigeration temperature, the method further comprises:

acquiring a human body infrared induction image in the target space;

analyzing the action parameters of the moving personnel in the target space through the human body infrared induction image;

evaluating the human body heat stress level of the active personnel according to the action parameters;

evaluating the refrigeration effect of the expected refrigeration temperature according to the human body heat stress level to obtain an evaluation result;

and determining whether the evaluation result is qualified according to preset conditions, if so, not needing subsequent operation, and otherwise, adjusting the expected refrigeration temperature until the expected refrigeration temperature meets the preset conditions.

Wherein, the human body heat stress level of the activity personnel is evaluated according to the action parameters, and the method further comprises the following steps:

determining the action intensity of the active personnel according to the action parameters;

estimating the physical parameters of the moving personnel according to the duration of the action parameters;

constructing a human body thermal reaction model of the active person according to the physical parameters, and inputting the exercise intensity and the action parameters into the human body thermal reaction model to determine the perspiration amount of the active person;

and determining the human body heat stress level of the active person according to the interval of the sweating amount.

Preferably, the method further comprises:

collecting a plurality of pulse signals corresponding to control instructions sent by a user to the intelligent air conditioner;

detecting the signal width of each pulse signal, and determining the first baud rate change condition of each pulse signal according to the signal width;

constructing a signal response characteristic curve of the intelligent air conditioner according to the first baud rate change condition of each pulse signal and the second baud rate change condition of the signal received by the intelligent air conditioner;

and intelligently adjusting the baud rate of the intelligent air conditioner according to the curve parameters in the signal response characteristic curve.

Preferably, the method further comprises:

acquiring the spatial layout of the target space and simultaneously acquiring the fixed position of an air conditioner in the spatial layout;

analyzing the gas flow around each object by combining the fixed position according to the heights of all objects contained in the spatial layout, and establishing a spatial gas flow chart;

analyzing the movement track of the moving personnel in the target movement space according to the movement parameters of the moving personnel in the target space;

inputting the activity track to the space gas flow chart, and analyzing the gas change around the activity personnel;

analyzing the human body heat stress level of the activity personnel according to the current temperature of the target space and the change of the gas around the activity personnel;

analyzing the adjusting time length required by the target space to reach the expected refrigerating temperature by combining the space gas flow chart based on the difference between the current temperature and the expected refrigerating temperature, dividing the adjusting time length into time periods with preset length, analyzing the adjusting quantity corresponding to each time period, and establishing an adjusting list;

analyzing the adjusted heat stress level of the active personnel after the adjustment duration based on the human heat stress level and the adjustment list;

judging whether the adjusted heat stress level is within a preset level range;

if not, determining that the expected refrigeration effect is unqualified, and obtaining the grade difference between the regulated heat stress grade and a preset grade range;

and generating an adjusting parameter according to the grade difference to adjust the expected refrigerating temperature, and controlling the air conditioner to adjust the temperature of the target space until the adjusted heat stress level of the active personnel is within a preset level range.

Preferably, the evaluating the refrigeration effect of the desired refrigeration temperature according to the human body heat stress level includes:

acquiring the current metabolism rate of the active personnel and the current human body work power corresponding to the human body heat stress level;

detecting a current atmospheric pressure and water vapor pressure within the target space;

calculating the comfort level of the active person in the target space according to the current atmospheric pressure and water vapor pressure, the current metabolic rate of the active person and the current human body power:

wherein F represents the comfort level of the active person in the target space, q represents the current human body work power of the active person, and q represents the current human body work power of the active person₁Expressed as a standard human body power reference threshold at space temperature, alpha is expressed as the current metabolic rate of the active person, C₁Expressed as the space temperature of the target space, C₂Expressed as the mean radiant temperature of the target space, C₃Expressed as the average temperature of the outer surface of the body of a moving person in the target space, lnShown as a natural logarithm, Q is the relative humidity of the target space, θ is the average clothing cover rate of the active person in the target space, e is the natural logarithm, with a value of 2.72, P₁Expressed as the current water vapor pressure, P, in the target space₂Expressed as the current atmospheric pressure in the target space, beta is expressed as the thermal conversion coefficient of the target space;

whether the comfort level is greater than or equal to a preset threshold value is confirmed, if yes, subsequent operation is not needed, and otherwise, standard refrigerating capacity corresponding to the expected refrigerating temperature is obtained;

determining a temperature reduction coefficient of a target space according to the standard refrigerating capacity;

calculating the target refrigeration efficiency of the intelligent air conditioner to the target space at the expected refrigeration temperature according to the temperature reduction coefficient and the standard refrigeration capacity of the target space:

where η represents a target cooling efficiency, m, of the intelligent air conditioner to the target space at the desired cooling temperature₁Expressed as the maximum cooling area, m, of the intelligent air conditioner₂Expressed as the surface area of the target space, D₁Expressed as the standard refrigerating capacity corresponding to the desired refrigerating temperature, D₂Expressed as the required refrigerating capacity of the target space, E expressed as the rated energy efficiency ratio of the intelligent air conditioner, a expressed as the cooling coefficient of the target space, k expressed as the work delay coefficient of the intelligent air conditioner, T expressed as a time constant, G expressed as the refrigerating gain of the intelligent air conditioner,

expressed as the utilization factor of the intelligent air conditioner;

and determining whether the target refrigeration efficiency is more than or equal to the standard refrigeration efficiency corresponding to the human body heat stress level, if so, determining that the refrigeration effect of the expected refrigeration temperature is qualified, and otherwise, determining that the refrigeration effect of the expected refrigeration temperature is unqualified.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

Fig. 1 is a schematic diagram of an intelligent air conditioner based on internet of things regulation and control provided by the invention;

FIG. 2 is an enlarged view of a portion of FIG. 1 in accordance with the present invention;

FIG. 3 is a side view of a first filter screen of the present invention;

FIG. 4 is a schematic structural view of the wind adjustment block of the present invention;

fig. 5 is a flowchart illustrating an intelligent air conditioner control method according to the present invention;

fig. 6 is another flowchart of the intelligent air conditioner control method according to the present invention;

fig. 7 is another work flow chart of the intelligent air conditioner control method according to the present invention.

In the figure: 1. a refrigeration device; 2. a heating device; 3. a first box body; 4. a first air inlet pipe; 5. a first connecting pipe; 6. a second air inlet pipe; 7. a second connecting pipe; 8. a first filter screen; 81. a first filter plate; 82. a second filter plate; 83. a mesh cleaning layer; 84. grid bars; 85. a wind adjusting stop block; 86. micro air holes; 9. a first motor; 10. a T-shaped threaded rod; 11. a threaded sleeve; 12. a slider; 13. an adjusting plate; 14. a connecting rod; 15. a second box body; 16. a through hole; 17. fixing the rod; 18. a second motor; 19. a fan blade; 20. a second filter screen; 21. (ii) a 22. (ii) a 23. (ii) a 24. (ii) a 25. (ii) a 26. (ii) a 27. (ii) a 28. (ii) a 29. (ii) a 30. (ii) a 31. (ii) a 32. (ii) a 33. A drainage pump II; 34. a water conduit; 35. a bearing housing; 36. connecting a conduit; 37. a stirring plate; 38. fixing the rod; 39. a filter plate; 40. a motor; 44. a second baffle plate; 45. a tapered plate; 46. and a second slider.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.

In addition, the descriptions related to the first, the second, etc. in the present invention are only used for description purposes, do not particularly refer to an order or sequence, and do not limit the present invention, but only distinguish components or operations described in the same technical terms, and are not understood to indicate or imply relative importance or implicitly indicate the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions and technical features between various embodiments can be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not be within the protection scope of the present invention.

Air conditioners (Air conditioners) are Air conditioners. The device is equipment for adjusting and controlling parameters such as temperature, humidity, flow rate and the like of ambient air in a building or a structure by manual means; the air conditioner is an indispensable part of people in modern life, provides cool for people, but is easy to cause diseases when being always on, such as 'air conditioning diseases' and the like, and needs to be used with caution.

In order to solve the problems, the invention favorably solves the defects of the technical problems by arranging the air inlet quantity adjusting device and controlling the air inlet quantity of the air inlet pipe. In order to solve the above problem, this embodiment discloses an intelligent air conditioner based on thing networking regulation and control.

Example 1:

the embodiment of the invention provides an intelligent air conditioner based on regulation and control of the Internet of things, and with reference to fig. 1-2, the intelligent air conditioner comprises a refrigerating device 1, a heating device 2, an air inlet quantity regulating device and an air outlet quantity regulating mechanism, wherein the refrigerating device 1, the heating device 2, the air inlet quantity regulating device and the air outlet quantity regulating mechanism are arranged in a box body I3.

Specifically, the top end of the refrigerating device 1 is fixedly arranged on the inner wall of the box body I3, and the left end and the right end of the refrigerating device 1 are respectively communicated with an air inlet pipe I4 and a connecting pipe I5;

the bottom end of the heating device 2 is fixedly installed on the inner wall of the first box body 3, and the left end and the right end of the heating device 2 are communicated with the second air inlet pipe 6 and the second connecting pipe 7 respectively.

Specifically, the left sides of the first air inlet pipe 4 and the second air inlet pipe 6 are communicated with the first box body 3, and a first filter screen 8 is fixedly installed inside each of the first air inlet pipe 4 and the second air inlet pipe 6;

the other ends of the first connecting pipe 5 and the second connecting pipe 7 are communicated with the air output adjusting mechanism.

The working principle and the beneficial effects of the technical scheme are as follows: when refrigeration or heating is needed, starting the air conditioner, adjusting gas entering the refrigeration device 1 or the heating device 2 from the air inlet pipe I4 or the air inlet pipe II 6 through the air inlet quantity adjusting device, then, after full action, discharging the gas from the connecting pipe I5 or the connecting pipe II 7, and then, discharging the gas into the air from the box body I3 under the action of the air outlet quantity adjusting mechanism;

the air conditioner has the advantages that the problem that the air quantity introduced into the air inlet pipe cannot be controlled in the using process of the traditional air conditioner, so that the air is not fully reacted in the refrigerating or heating process, and the refrigerating or heating effect is poor is solved; through setting up filter screen 8, be favorable to preventing that the dust in the air from entering in the air conditioner, prevent that the dust from can the electronic component in the air conditioner damages to improve the life of air conditioner.

Example 2:

the embodiment of the invention provides an intelligent air conditioner based on internet of things regulation, and with reference to fig. 1-2, the air intake adjusting device is arranged on the inner wall of the left end of the first box body 3 and comprises: the first motor 9 is fixedly installed on the inner wall of the left end of the first box body 3, and a T-shaped threaded rod 10 is fixedly installed on an output shaft of the first motor 9;

the threaded sleeve 11 is in threaded connection with the T-shaped threaded rod 10, and the threaded sleeve 11 is provided with gas adjusting mechanisms in an up-and-down symmetrical mode;

the gas regulating mechanism includes: the sliding block 12 is connected to the inner walls of the air inlet pipe I4 and the air inlet pipe II 6 close to one end of the motor I9 in a sliding mode;

the adjusting plate 13 is fixedly arranged on the sliding block 12 at one end far away from the first motor 9;

and two ends of the connecting rod 14 are respectively connected with the sliding block 12 and the threaded sleeve 11.

The working principle and the beneficial effects of the technical scheme are as follows: when the air in the first air inlet pipe 4 and the second air inlet pipe 6 needs to be adjusted, firstly, a first motor 9 is started, the first motor 9 rotates to drive a T-shaped threaded rod 10 to rotate, the T-shaped threaded rod 10 rotates to drive a threaded sleeve 11 to move towards the left, the threaded sleeve 11 moves towards the left to drive a connecting rod 14 to move, a sliding block 12 is driven to move towards the inner parts of the first air inlet pipe 4 and the second air inlet pipe 6, an adjusting plate 13 is driven to move, the sizes of the first air inlet pipe 4 and the second air inlet pipe 6 are adjusted, the air inflow amount is controlled, and the adjusting plate 13 is reset by reversing the first motor 9; through setting up motor 9, be favorable to realizing automatically regulated the size of the through-hole of intake pipe 4 and intake pipe 6, unusual convenient and practical.

Example 3:

the embodiment of the invention provides an intelligent air conditioner based on regulation and control of the Internet of things, and with reference to fig. 1-2, the air output regulating mechanism comprises:

the right end of the second box body 15 is fixedly arranged on the inner wall of the first box body 3, a plurality of through holes 16 are formed in the first box body 3 at the right end of the second box body 15, and the left end of the second box body 15 is communicated with the first connecting pipe 5 and the second connecting pipe 7;

the upper end and the lower end of the fixing rod 17 are fixedly arranged on the inner wall of the second box body 15, and a second motor 18 is fixedly arranged on the fixing rod 17;

the fan blade 19 is fixedly arranged on an output shaft of the second motor 18;

and the upper end and the lower end of the second filter screen 20 are fixedly arranged on the inner wall of the second box body 15.

The working principle and the beneficial effects of the technical scheme are as follows: after the refrigerated or heated gas comes out of the first connecting pipe 5 and the second connecting pipe 7, the second motor 18 is started, and the second motor 28 drives the fan blades 19 to rotate, so that the gas is accelerated, filtered by the second filter screen 20 and then discharged into the air from the plurality of through holes 16 on the first box body 3;

the second motor 18 and the fan blades 19 are arranged, so that the speed of exhausting gas into the air is increased; the second filter screen 20 is arranged, so that the gas can be further filtered, the gas discharged into the air can be fresher, and the harm to human bodies caused by pathogenic bacteria can be prevented; through the arrangement of the through holes 16, the gas can be discharged out of the first box body 3 more quickly.

In the invention, the second filter screen 20 and the first filter screen 8 have the same structure and are both of a multi-layer adjusting structure, taking the first filter screen 8 as an example, referring to fig. 3 and 4, the first filter screen 8 comprises a first filter plate 81 and a second filter plate 82 which are buckled with each other, the first filter plate 81 and the second filter plate 82 are both hollow mesh structures consisting of grid strips 84 and can preliminarily filter impurities in the air, a screen cloth cleaning layer 83 is arranged between the first filter plate 81 and the second filter plate 82 and used for separating and further cleaning external dust through the screen cloth cleaning layer 83, a plurality of rotatable air adjusting stoppers 85 are arranged on the first filter plate 81 and the second filter plate 82 at intervals along the grid strips 84, micro air holes 86 are densely arranged on the air adjusting stoppers 85, two ends of the air adjusting stoppers 85 are hinged on the grid strips 84 and connected with a driving block, the air adjusting stoppers 85 are driven by the driving block to adjust the rotation angle, when the inclination angle of the driving block driving air adjusting block 85 changes, the air quantity can also change, and the setting of the micro air holes 86 improves the mildness of air quantity adjustment to a certain extent. Therefore, the second filter screen 20 and the first filter screen 8 can not only filter air, but also further adjust air volume, and one has multiple functions. Because the second filter screen 20 and the first filter screen 8 both have the purposes of adjusting air volume and filtering air, the selection of various modes can be flexibly carried out according to the preference of a user, the air filter is suitable for more and thinner gear selections, double filtering and cleaning are also realized for blown air, and the air quality is improved.

As shown in fig. 5, the intelligent air conditioner control method is a control method for the above intelligent air conditioner, and the intelligent air conditioner control method can realize intelligent control of the temperature in the target space through a control system on the intelligent air conditioner, and specifically includes the following steps:

s101, detecting the space temperature of a target space where an intelligent air conditioner is located;

step S102, according to the space temperature, an expected refrigerating temperature or an expected heating temperature corresponding to the space temperature is called in a preset database;

step S103, determining the air intake amount of the intelligent air conditioner according to the expected cooling temperature or the expected heating temperature;

step S104, controlling the intelligent air conditioner to refrigerate or heat a target space by the air inflow;

in the present embodiment, the above-mentioned space temperature is expressed as a temperature of a space where the smart air conditioner is installed.

The working principle of the technical scheme is as follows: the method comprises the steps of detecting the space temperature of a target space where the intelligent air conditioner is located, calling an expected refrigerating temperature or an expected heating temperature corresponding to the space temperature in a preset database according to the space temperature, determining the air inflow of the intelligent air conditioner according to the expected refrigerating temperature or the expected heating temperature, and controlling the intelligent air conditioner to refrigerate or heat the target space by the air inflow.

The beneficial effects of the above technical scheme are: the reasonable refrigerating or heating temperature can be intelligently determined according to the change of the environmental temperature by determining the refrigerating temperature or the heating temperature according to the space temperature of the target space, the excessive loss of energy is avoided, the service life and the practicability of the intelligent air conditioner are indirectly improved, further, the stable refrigerating or heating work can be realized by calculating the air inflow corresponding to the refrigerating or heating temperature to refrigerate or heat the target space, the air is ensured to fully react in the refrigerating or heating process, so that the refrigerating or heating effect maintains a stable level, and the refrigerating or heating efficiency and the experience of a user are improved.

In one embodiment, as shown in fig. 6, the detecting the space temperature of the target space where the intelligent air conditioner is located includes:

step S201, acquiring a first temperature value detected by a temperature sensor in the target space;

step S202, determining the number of heat sources in a target space and the maximum heat dissipation amount of each heat source;

step S203, estimating a space temperature correction coefficient in a target space according to the number of the heat sources and the maximum heat dissipation amount of each heat source;

step S204, correcting the first temperature value according to the space temperature correction coefficient to obtain a second temperature value, and confirming the second temperature value as the space temperature of the target space;

in this embodiment, each heat source may be a natural heat source or an artificial heat source, and the maximum heat emission amount may be obtained by a factory parameter of the heat source or by artificial detection;

in the present embodiment, the space temperature correction coefficient is determined by an influence factor of the heat dissipation amounts of the plurality of heat sources in the target space on the space temperature.

The beneficial effects of the above technical scheme are: the space temperature is intelligently corrected according to the heat productivity of the heat source in the target space, so that the influence factors on the space temperature of the target space can be taken into consideration, more accurate and practical space temperature is obtained, and the accuracy of data is guaranteed.

In one embodiment, the retrieving, in a preset database, a desired cooling temperature or a desired heating temperature corresponding to the space temperature according to the space temperature includes:

inputting the space temperature into a preset library to determine an ideal heating temperature interval or an ideal refrigerating temperature interval of the target space;

obtaining a layout structure of a target space, and determining a ventilation index and a sealing coefficient of the target space according to the layout structure;

calculating a relative humidity threshold or a relative temperature threshold of the target space according to the ventilation index and the sealing coefficient in combination with the ambient temperature outside the target space;

selecting a heating temperature or a cooling temperature which is closest to a relative humidity threshold or a relative temperature threshold from the ideal heating temperature interval or the ideal cooling temperature interval as an expected cooling temperature or an expected heating temperature corresponding to the space temperature;

in the present embodiment, the ventilation index is expressed as an index corresponding to the ventilation efficiency in the target space;

in the present embodiment, the above-described relative humidity threshold and relative temperature threshold are expressed as variation thresholds in which the space temperature of the target space varies with the external ambient temperature.

The beneficial effects of the above technical scheme are: by calculating the relative humidity threshold value and the relative temperature threshold value of the target space, the expected cooling temperature or heating temperature can be determined aiming at the constant temperature or constant humidity in the target space, and the cooling effect or heating effect is further ensured.

In one embodiment, after determining the desired refrigeration temperature, the method further comprises:

acquiring a human body infrared induction image in the target space;

analyzing the action parameters of the moving personnel in the target space through the human body infrared induction image;

evaluating the human body heat stress level of the active personnel according to the action parameters;

evaluating the refrigeration effect of the expected refrigeration temperature according to the human body heat stress level to obtain an evaluation result;

and determining whether the evaluation result is qualified according to preset conditions, if so, not needing subsequent operation, and otherwise, adjusting the expected refrigeration temperature until the expected refrigeration temperature meets the preset conditions.

In this embodiment, the motion parameter may be a series of motion parameters or a single motion parameter;

the human body heat stress level is represented as a stress level corresponding to the human body surface skin along with the increase of the space temperature;

the preset conditions may be: whether the refrigerating effect of the expected refrigerating temperature meets the basic refrigerating requirement of the heat stress level of the human body.

The beneficial effects of the above technical scheme are: through evaluating the refrigerating effect of the expected refrigerating temperature on the active personnel in the target space, the skin heat stress level of the active personnel can be intelligently determined according to the motion parameters of the active personnel, so that the skin heat stress level is adjusted to be reasonably refrigerated to further ensure the refrigerating efficiency and the experience of a user.

In one embodiment, as shown in fig. 7, the evaluating the human heat stress level of the active person according to the action parameters includes:

step S301, determining the action intensity of the activity personnel according to the action parameters;

s302, estimating the physique parameters of the active personnel according to the duration of the action parameters;

step S303, constructing a human body thermal reaction model of the active person according to the physical parameters, and inputting the exercise intensity and the action parameters into the human body thermal reaction model to determine the perspiration amount of the active person;

step S304, determining the human body heat stress level of the active personnel according to the interval where the perspiration amount is located;

in this embodiment, the physical fitness parameters are obtained by screening out reference physical fitness parameters similar to the action intensity and action duration of the active person from a big database;

the human body thermal reaction model of the active person is obtained by training an initial model by using the physical parameters and the surface skin characteristic vectors of the active person as model training quantities.

The beneficial effects of the above technical scheme are: the human body thermal response model is constructed according to the physical parameters of the sports personnel, so that the human body thermal response model can be maximally ensured to be in accordance with the actual conditions of the sports personnel in the target space, a foundation is laid for subsequent thermal response grade assessment, further, the skin thermal response degree of the sports personnel under the exercise intensity can be intuitively assessed by determining the sweat amount and the interval of the sports personnel, the corresponding human body thermal stress grade is rapidly determined, and the working efficiency is improved.

In one embodiment, the determining the air intake amount of the intelligent air conditioner according to the desired cooling temperature or the desired heating temperature includes:

determining the refrigerating capacity or the heating capacity corresponding to the expected refrigerating temperature or the expected heating temperature respectively;

determining the gas conversion efficiency of the intelligent air conditioner according to the working parameters of the intelligent air conditioner;

and calculating the refrigerating air inflow or the heating air inflow of the intelligent air conditioner according to the gas conversion efficiency, the refrigerating efficiency or the heating efficiency of the intelligent air conditioner and the refrigerating capacity or the heating capacity.

The beneficial effects of the above technical scheme are: the refrigerating or heating air input can be ensured to meet the refrigerating or heating standard, and simultaneously, the poor refrigerating or heating effect of the intelligent air conditioner caused by too much or too little air input is avoided, the stability and the practicability are further improved, and the refrigerating efficiency or the heating efficiency of the intelligent air conditioner is ensured.

In one embodiment, the method further comprises:

collecting a plurality of pulse signals corresponding to control instructions sent by a user to the intelligent air conditioner;

detecting the signal width of each pulse signal, and determining the first baud rate change condition of each pulse signal according to the signal width;

constructing a signal response characteristic curve of the intelligent air conditioner according to the first baud rate change condition of each pulse signal and the second baud rate change condition of the signal received by the intelligent air conditioner; wherein baud rate is a measure of the signal transmission rate, usually in units of "baud".

Intelligently adjusting the baud rate of the intelligent air conditioner according to the curve parameters in the signal response characteristic curve;

in this implementation, the method for constructing the signal response characteristic curve of the intelligent air conditioner is obtained by fusing frequency coordinates of each of the first baud rate and the second baud rate.

The beneficial effects of the above technical scheme are: the baud rate of the intelligent air conditioner is intelligently adjusted, so that the intelligent air conditioner can quickly and stably receive a control instruction sent by a user, the control stability of the user on the intelligent air conditioner is ensured, and the overall stability and the working efficiency are improved.

In one embodiment, the method further comprises:

acquiring control state information of the initialized internet of things of the intelligent air conditioner;

determining an Internet of things control area set by a user according to the initialized Internet of things control state information;

configuring a starting control scene for the initialized IOT control state information;

detecting whether a user enters the Internet of things control area and whether the start control situation is met, if so, starting the intelligent air conditioner, and otherwise, not needing to perform subsequent operation;

in this embodiment, the initialized internet of things control state information is represented as default start information and default internet of things control information of the intelligent air conditioner;

the starting control scene is a scene setting parameter which is intelligently started according to the user behavior parameter.

The beneficial effects of the above technical scheme are: the intelligent air conditioner can be intelligently started according to the behavior style of the user in the target space by configuring the starting control scene, the user does not need to manually start, and the practicability and the experience of the user are further improved.

In one example, the method further comprises:

acquiring the spatial layout of the target space and simultaneously acquiring the fixed position of an air conditioner in the spatial layout;

analyzing the gas flow around each object by combining the fixed position according to the heights of all objects contained in the spatial layout, and establishing a spatial gas flow chart;

analyzing the movement track of the moving personnel in the target movement space according to the movement parameters of the moving personnel in the target space;

inputting the activity track to the space gas flow chart, and analyzing the gas change around the activity personnel;

analyzing the human body heat stress level of the active personnel according to the current temperature of the target space and the change of the gas around the active personnel;

analyzing the adjusting time length required by the target space to reach the expected refrigerating temperature by combining the space gas flow chart based on the difference between the current temperature and the expected refrigerating temperature, dividing the adjusting time length into time periods with preset length, analyzing the adjusting quantity corresponding to each time period, and establishing an adjusting list;

analyzing the adjusted heat stress level of the active person after the adjustment duration based on the human heat stress level and the adjustment list;

judging whether the adjusted heat stress level is within a preset level range;

if not, determining that the expected refrigeration effect is unqualified, and obtaining the grade difference between the regulated heat stress grade and a preset grade range;

generating an adjusting parameter according to the grade difference to adjust the expected refrigerating temperature, and controlling the air conditioner to adjust the temperature of the target space until the adjustment heat stress level of the active personnel is within a preset level range;

in the present embodiment, the space gas flow rate map is a gas distribution flow rate map in the target space;

and representing the activity track of the activity personnel in the target activity space as a connecting track connecting the movement positions corresponding to the action parameters of the activity personnel.

The working principle of the technical scheme is as follows: analyzing the gas flow around each object according to the spatial layout of a target space and the fixed position of an air conditioner in the spatial layout and in combination with the heights of all objects contained in the spatial layout, establishing a spatial gas flow chart, analyzing the activity track of an activity worker in the target activity space according to the action parameters of the activity worker in the target space, analyzing the gas change around the activity worker, analyzing the human body heat stress level of the activity worker according to the current temperature of the target space and the gas change around the activity worker, analyzing the adjustment time required for the target space to reach the expected refrigeration temperature based on the difference between the current temperature and the expected refrigeration temperature and in combination with the spatial gas flow chart, establishing an adjustment list, analyzing and judging the adjustment heat stress level of the activity worker after the adjustment time based on the human body heat stress level and the adjustment list, and if the adjusted heat stress level is not in the preset level range, determining that the expected refrigeration effect is unqualified, and generating an adjustment parameter according to the level difference between the adjusted heat stress level and the preset level range to adjust the expected refrigeration temperature until the adjusted heat stress level of the active personnel is in the preset level range.

The beneficial effects of the above technical scheme are that: in order to provide a more comfortable environment for a user, when the user adjusts the indoor temperature, the function of adjusting the temperature is not only executed, but also the indoor temperature is adjusted according to the actual layout condition of a target space and the behavior of an activity person, the comfortable environment is provided for the activity person for a long time by considering various factors, and the independent realization intelligence of the air conditioner is improved.

In one embodiment, the evaluating the refrigeration effect of the desired refrigeration temperature according to the human body heat stress level comprises:

acquiring the current metabolism rate of the active personnel and the current human body work power corresponding to the human body heat stress level;

detecting a current atmospheric pressure and water vapor pressure within the target space;

calculating the comfort level of the active person in the target space according to the current atmospheric pressure and water vapor pressure, the current metabolic rate of the active person and the current human body power:

wherein F represents the comfort level of the active person in the target space, q represents the current human body work power of the active person, and q represents the current human body work power of the active person₁Expressed as a standard human body power reference threshold at space temperature, alpha is expressed as the current metabolic rate of the active person, C₁Expressed as the space temperature of the target space, C₂Expressed as the mean radiant temperature of the target space, C₃Expressed as the average temperature of the outer surface of the human body of the moving person in the target space, ln is expressed as the natural logarithm, Q is expressed as the relative humidity of the target space, theta is expressed as the average clothing cover rate of the moving person in the target space, e is expressed as the natural logarithm, the value is 2.72, and P is the average value of the natural logarithm₁Expressed as the current water vapor pressure, P, in the target space₂Expressed as the current atmospheric pressure in the target space, beta is expressed as the thermal conversion coefficient of the target space;

whether the comfort level is greater than or equal to a preset threshold value is confirmed, if yes, subsequent operation is not needed, and otherwise, standard refrigerating capacity corresponding to the expected refrigerating temperature is obtained;

determining a cooling coefficient of a target space according to the standard refrigerating capacity;

calculating the target refrigeration efficiency of the intelligent air conditioner to the target space at the expected refrigeration temperature according to the temperature reduction coefficient and the standard refrigeration capacity of the target space:

wherein eta represents a target cooling efficiency, m, of the intelligent air conditioner for the target space at the desired cooling temperature₁Expressed as the maximum cooling area, m, of the intelligent air conditioner₂Expressed as surface area of target space, D₁Expressed as the standard refrigerating capacity corresponding to the desired refrigerating temperature, D₂Expressed as the required refrigerating capacity of the target space, E expressed as the rated energy efficiency ratio of the intelligent air conditioner, a expressed as the cooling coefficient of the target space, k expressed as the work delay coefficient of the intelligent air conditioner, T expressed as a time constant, G expressed as the refrigerating gain of the intelligent air conditioner,

expressed as the utilization factor of the intelligent air conditioner;

and determining whether the target refrigeration efficiency is more than or equal to the standard refrigeration efficiency corresponding to the human body heat stress level, if so, determining that the refrigeration effect of the expected refrigeration temperature is qualified, and otherwise, determining that the refrigeration effect of the expected refrigeration temperature is unqualified.

The beneficial effects of the above technical scheme are: whether refrigeration needs to be carried out in the target space can be effectively evaluated through calculating the comfort degree of the movable personnel in the target space, meanwhile, a reference condition is provided for the follow-up evaluation of the refrigeration effect of the expected refrigeration temperature, the practicability is further improved, further, whether the refrigeration effect of the expected refrigeration temperature is qualified or not can be visually determined for the target refrigeration efficiency of the target space by the intelligent air conditioner under the expected refrigeration temperature through calculation, and the working efficiency and the evaluation accuracy are improved.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (10)

1. The utility model provides an intelligent air conditioner based on thing networking regulation and control which characterized in that: the air conditioner comprises a refrigerating device (1), a heating device (2), an air inlet quantity adjusting device and an air outlet quantity adjusting mechanism, wherein the refrigerating device (1), the heating device (2), the air inlet quantity adjusting device and the air outlet quantity adjusting mechanism are arranged in a box body I (3);

refrigerating plant (1) top fixed mounting be in on the box (3) inner wall, just both ends communicate with intake pipe (4) and connecting pipe (5) respectively about refrigerating plant (1), heat device (2) bottom fixed mounting be in on the box (3) inner wall, just both ends communicate with intake pipe two (6) and connecting pipe two (7) respectively about heating device (2), intake pipe one (4) and intake pipe two (6) left sides with box (3) intercommunication, just intake pipe one (4) and intake pipe two (6) inside respectively fixed mounting have filter screen one (8), the connecting pipe one (5) and the connecting pipe two (7) other end with air output adjustment mechanism intercommunication.

2. The intelligent air conditioner based on internet of things regulation and control of claim 1, characterized in that: the intake adjusting device sets up on box (3) left end inner wall, include: the gas regulating device comprises a first motor (9), wherein the first motor (9) is fixedly installed on the inner wall of the left end of the first box body (3), a T-shaped threaded rod (10) and a threaded sleeve (11) are fixedly installed on an output shaft of the first motor (9), the threaded sleeve (11) is in threaded connection with the T-shaped threaded rod (10), and gas regulating mechanisms are symmetrically installed on the threaded sleeve (11) from top to bottom;

the gas regulating mechanism includes: the sliding block (12) is connected to the inner walls of the air inlet pipe I (4) and the air inlet pipe II (6) close to one end of the motor I (9) in a sliding mode;

the adjusting plate (13) is fixedly arranged on a sliding block (12) at one end far away from the first motor (9);

the connecting rod (14), connecting rod (14) both ends respectively with slider (12) with thread bush (11) are connected.

3. The intelligent air conditioner based on internet of things regulation and control of claim 1, characterized in that: air output adjustment mechanism includes:

the right end of the second box body (15) is fixedly arranged on the inner wall of the first box body (3), a plurality of through holes (16) are formed in the first box body (3) at the right end of the second box body (15), and the left end of the second box body (15) is communicated with the first connecting pipe (5) and the second connecting pipe (7);

the upper end and the lower end of the fixing rod (17) are fixedly arranged on the inner wall of the second box body (15), and a second motor (18) is fixedly arranged on the fixing rod (17);

the fan blades (19), the fan blades (19) are fixedly arranged on the output shaft of the second motor (18);

the upper end and the lower end of the second filter screen (20) are fixedly arranged on the inner wall of the second box body (15);

the second filter screen (20) and the first filter screen (8) have the same structure, are both of a multi-layer adjusting structure and comprise a first filter plate (81) and a second filter plate (82) which are buckled with each other, the first filter plate (81) and the second filter plate (82) are both hollow-out net structures consisting of grid strips (84), a mesh cleaning layer (83) is arranged between the first filter plate (81) and the second filter plate (82), a plurality of rotatable air adjusting stoppers (85) are arranged on the first filter plate (81) and the second filter plate (82) at intervals along the grid strips (84), the two ends of the air adjusting stop block (85) are hinged to the grid strips (84) and connected with the driving block, the driving block drives the air adjusting stop block (84) to adjust the rotation angle of the air adjusting stop block, and miniature air holes (86) are densely formed in the air adjusting stop block (85).

4. An intelligent air conditioner control method is suitable for the intelligent air conditioner based on the regulation and control of the Internet of things and is characterized by comprising the following steps:

detecting the space temperature of a target space where the intelligent air conditioner is located;

calling an expected refrigerating temperature or an expected heating temperature corresponding to the space temperature from a preset database according to the space temperature;

determining the air intake quantity of the intelligent air conditioner according to the expected cooling temperature or the expected heating temperature;

controlling the intelligent air conditioner to refrigerate or heat a target space by the air inflow;

wherein, the air input of the intelligent air conditioner is determined by the following method:

determining the refrigerating capacity or the heating capacity corresponding to the expected refrigerating temperature or the expected heating temperature respectively;

determining the gas conversion efficiency of the intelligent air conditioner according to the working parameters of the intelligent air conditioner;

and calculating the refrigerating air inflow or the heating air inflow of the intelligent air conditioner according to the gas conversion efficiency, the refrigerating efficiency or the heating efficiency of the intelligent air conditioner and the refrigerating capacity or the heating capacity.

5. The intelligent air conditioner control method according to claim 4, wherein the detecting the space temperature of the target space where the intelligent air conditioner is located comprises:

acquiring a first temperature value detected by a temperature sensor in the target space;

determining the number of heat sources in a target space and the maximum heat dissipation amount of each heat source;

estimating a space temperature correction coefficient in a target space according to the number of the heat sources and the maximum heat dissipation amount of each heat source;

and correcting the first temperature value according to the space temperature correction coefficient to obtain a second temperature value, and determining the second temperature value as the space temperature of the target space.

6. The intelligent air conditioner control method according to claim 5, wherein the retrieving of the desired cooling temperature or the desired heating temperature corresponding to the space temperature in a preset database according to the space temperature comprises:

inputting the space temperature into a preset library to determine an ideal heating temperature interval or an ideal refrigerating temperature interval of the target space;

obtaining a layout structure of a target space, and determining a ventilation index and a sealing coefficient of the target space according to the layout structure;

calculating a relative humidity threshold or a relative temperature threshold of the target space according to the ventilation index and the sealing coefficient in combination with the ambient temperature outside the target space;

and selecting the heating temperature or the cooling temperature which is closest to the relative humidity threshold value or the relative temperature threshold value from the ideal heating temperature interval or the ideal cooling temperature interval as the expected cooling temperature or the expected heating temperature corresponding to the space temperature.

7. The intelligent air conditioner control method according to claim 6, wherein after determining the desired cooling temperature, the method further comprises:

acquiring a human body infrared induction image in the target space;

analyzing the action parameters of the moving personnel in the target space through the human body infrared induction image;

evaluating the human body heat stress level of the active personnel according to the action parameters;

evaluating the refrigeration effect of the expected refrigeration temperature according to the human body heat stress level to obtain an evaluation result;

whether the evaluation result is qualified or not is confirmed according to preset conditions, if yes, subsequent operation is not needed, and if not, the expected refrigeration temperature is adjusted until the expected refrigeration temperature meets the preset conditions;

wherein, the human body heat stress level of the activity personnel is evaluated according to the action parameters, and the method further comprises the following steps:

determining the action intensity of the active personnel according to the action parameters;

estimating the physical parameters of the moving personnel according to the duration of the action parameters;

constructing a human body thermal reaction model of the active person according to the physical parameters, and inputting the exercise intensity and the action parameters into the human body thermal reaction model to determine the perspiration amount of the active person;

and determining the human body heat stress level of the active person according to the interval of the sweating amount.

8. The intelligent air conditioner control method according to claim 4, characterized in that the method further comprises:

collecting a plurality of pulse signals corresponding to control instructions sent by a user to the intelligent air conditioner;

detecting the signal width of each pulse signal, and determining the first baud rate change condition of each pulse signal according to the signal width;

constructing a signal response characteristic curve of the intelligent air conditioner according to the first baud rate change condition of each pulse signal and the second baud rate change condition of the signal received by the intelligent air conditioner;

and intelligently adjusting the baud rate of the intelligent air conditioner according to the curve parameters in the signal response characteristic curve.

9. The intelligent air conditioner control method according to claim 7, wherein the evaluating a human body heat stress level of an active person according to the action parameter, evaluating a refrigeration effect of the expected refrigeration temperature according to the human body heat stress level, obtaining an evaluation result, confirming whether the evaluation result is qualified according to a preset condition, if so, no subsequent operation is needed, otherwise, adjusting the expected refrigeration temperature until the expected refrigeration temperature meets the preset condition, comprises:

acquiring the spatial layout of the target space and the fixed position of the intelligent air conditioner in the spatial layout;

analyzing the gas flow around each object by combining the fixed position according to the heights of all objects contained in the spatial layout, and establishing a spatial gas flow chart;

analyzing the movement track of the moving personnel in the target movement space according to the movement parameters of the moving personnel in the target space;

inputting the activity track into the space gas flow chart, and analyzing the gas change around the activity personnel;

analyzing the human body heat stress level of the active personnel according to the current temperature of the target space and the change of the gas around the active personnel;

analyzing the adjusting time length required by the target space to reach the expected refrigerating temperature by combining the space gas flow chart based on the difference between the current temperature and the expected refrigerating temperature, dividing the adjusting time length into time periods with preset length, analyzing the adjusting quantity corresponding to each time period, and establishing an adjusting list;

analyzing the adjusted heat stress level of the active personnel after the adjustment duration based on the human heat stress level and the adjustment list;

judging whether the adjusted heat stress level is within a preset level range;

if not, determining that the expected refrigeration effect is unqualified, and obtaining the grade difference between the regulated heat stress grade and a preset grade range;

and generating an adjusting parameter according to the grade difference to adjust the expected refrigerating temperature, and controlling the air conditioner to adjust the temperature of the target space until the adjusted heat stress level of the active personnel is within a preset level range.

10. The intelligent air conditioner control method as claimed in claim 7, wherein the evaluating the cooling effect of the desired cooling temperature according to the human body heat stress level comprises:

acquiring the current metabolism rate of the active personnel and the current human body doing power corresponding to the human body heat stress level;

detecting a current atmospheric pressure and water vapor pressure within the target space;

calculating the comfort level of the active person in the target space according to the current atmospheric pressure and water vapor pressure, the current metabolic rate of the active person and the current human body power:

wherein F represents the comfort level of the active person in the target space, q represents the current human body work power of the active person, and q represents the current human body work power of the active person₁Expressed as a standard human body power reference threshold at space temperature, alpha is expressed as the current metabolic rate of the active person, C₁Expressed as the space temperature of the target space, C₂Expressed as the mean radiant temperature of the target space, C₃Expressed as the average temperature of the outer surface of the human body of the active person in the target space, ln is expressed as the natural logarithm, Q is expressed as the relative humidity of the target space, theta is expressed as the average clothing coverage rate of the active person in the target space, e is expressed as the natural logarithm, the value is 2.72, P₁Expressed as the current water vapor pressure, P, in the target space₂Expressed as the current atmospheric pressure in the target space, beta is expressed as the thermal conversion coefficient of the target space;

whether the comfort level is greater than or equal to a preset threshold value is confirmed, if yes, subsequent operation is not needed, and otherwise, standard refrigerating capacity corresponding to the expected refrigerating temperature is obtained;

determining a cooling coefficient of a target space according to the standard refrigerating capacity;

calculating the target refrigeration efficiency of the intelligent air conditioner to the target space at the expected refrigeration temperature according to the temperature reduction coefficient and the standard refrigeration capacity of the target space:

where η represents a target cooling efficiency, m, of the intelligent air conditioner to the target space at the desired cooling temperature₁Expressed as the maximum cooling area, m, of the intelligent air conditioner₂Expressed as the surface area of the target space, D₁Expressed as the standard refrigerating capacity corresponding to the desired refrigerating temperature, D₂Expressed as a target spaceThe required refrigerating capacity, E is the rated energy efficiency ratio of the intelligent air conditioner, a is the temperature reduction coefficient of the target space, k is the work delay coefficient of the intelligent air conditioner, T is the time constant, G is the refrigerating gain of the intelligent air conditioner,

expressed as the utilization factor of the intelligent air conditioner;

and determining whether the target refrigeration efficiency is more than or equal to the standard refrigeration efficiency corresponding to the human body heat stress level, if so, determining that the refrigeration effect of the expected refrigeration temperature is qualified, and otherwise, determining that the refrigeration effect of the expected refrigeration temperature is unqualified.

Images