CN118066756A - Modeling control method and system for air source heat pump - Google Patents
Modeling control method and system for air source heat pump Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B30/00—Heat pumps
- F25B30/02—Heat pumps of the compression type
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Abstract
The application relates to an air source heat pump modeling control method and system, which belong to the field of modeling of data analysis methods on clouds; the modeling control method of the air source heat pump comprises the steps of obtaining a temperature regulation task of the air source heat pump in a preset area and a plurality of heat pump working modes; calculating temperature regulation gain data corresponding to each heat pump working mode based on a preset first calculation rule; calculating working noise influence data corresponding to each heat pump working mode based on a preset second calculation rule; determining operational mode comparison data based on the temperature adjustment benefit data and the operational noise impact data; and obtaining working mode selection data according to the working mode comparison data and a preset screening rule. The application has the effect of reducing the influence on surrounding people while ensuring that the heat pump completes the temperature regulation task.
Description
Technical Field
The application relates to the field of modeling of data analysis methods on clouds, in particular to a modeling control method and system of an air source heat pump.
Background
The air source is an energy-saving device which utilizes high potential energy to enable heat to flow from a low-level heat source to a high-level heat source, and is a form of a heat pump; the air source heat pump has the beneficial effects of energy conservation and environmental protection, and is widely and widely used. The air source heat pump is classified into an integral unit and a modularized unit; the application adaptability of the air source heat pump comprises a plurality of fields of water heaters, heating, refrigerating and the like; the air source heat pump often bears the task of temperature regulation, and in the actual working process, the heat pump operation can bring noise, can cause the influence to people, so the reasonable selection of the working mode of the air source heat pump is needed, the heat pump is ensured to finish the task of temperature regulation, and the influence on surrounding people is reduced.
Disclosure of Invention
In order to solve the technical problems, the application provides an air source heat pump modeling control method and system.
The application aims to provide an air source heat pump modeling control method.
The first object of the present application is achieved by the following technical solutions:
An air source heat pump modeling control method, comprising:
acquiring a temperature regulation task of an air source heat pump in a preset area and a plurality of heat pump working modes;
calculating temperature regulation gain data corresponding to each heat pump working mode based on a preset first calculation rule;
calculating working noise influence data corresponding to each heat pump working mode based on a preset second calculation rule;
Determining operational mode comparison data based on the temperature adjustment benefit data and the operational noise impact data;
and obtaining working mode selection data according to the working mode comparison data and a preset screening rule.
By adopting the technical scheme, the temperature difference value required to be regulated of the air source heat pump in the preset area can be determined based on the acquired temperature regulation task, and the corresponding working condition of each heat pump working mode can be determined based on the temperature difference value and the plurality of heat pump working modes; calculating temperature benefits brought by each heat pump working mode through a first calculation rule, calculating noise influence brought by each heat pump working mode through a second calculation rule, comparing the temperature benefits with the noise influence, and selecting a proper working mode based on comparison data and a preset screening rule; by the mode, synchronous consideration of temperature benefit and noise influence during heat pump operation is achieved, and the effect of reducing influence on surrounding people while the heat pump completes a temperature regulation task is guaranteed.
The present application may be further configured in a preferred example to: the calculating the temperature adjustment gain data corresponding to each heat pump working mode based on the preset first calculation rule comprises the following steps:
Determining task adjustment time of each heat pump working mode based on the temperature adjustment task;
obtaining time difference data according to the task adjusting time and the preset standard time;
obtaining benefit influence degree data according to the time difference value data and preset unit time influence data;
and obtaining the temperature regulation gain data according to the gain influence degree data and preset standard gain data.
The present application may be further configured in a preferred example to: the calculating the working noise influence data corresponding to each heat pump working mode based on the preset second calculation rule comprises the following steps:
Acquiring noise level data corresponding to each heat pump working mode;
acquiring personnel data of unit time in the preset area within the task adjusting time;
and determining working noise influence data according to the noise level data, the personnel data in unit time and a preset noise influence coefficient.
The present application may be further configured in a preferred example to: the step of obtaining the people data of unit time in the preset area in the task adjusting time comprises the following steps:
acquiring personnel images appearing in the task adjusting time in the preset area;
determining a retention time of the person image;
Determining personal data of a person unit time corresponding to the person image according to the holding time of the person image;
and determining the personnel data of the unit time in the preset area in the task adjusting time according to the number of the personnel images and the personnel data of the unit time of the individual.
The present application may be further configured in a preferred example to: the determining of the working mode comparison data according to the temperature regulation gain data and the working noise influence data comprises calculating the ratio of the temperature regulation gain data to the working noise influence data, and determining the working mode comparison data according to the ratio.
The application aims at providing an air source heat pump modeling control system.
The second object of the present application is achieved by the following technical solutions:
An air source heat pump modeling control system, comprising:
The acquisition module is used for acquiring a temperature regulation task of the air source heat pump in a preset area and a plurality of heat pump working modes;
The calculation module is used for calculating temperature regulation gain data corresponding to each heat pump working mode based on a preset first calculation rule;
the analysis module is used for calculating working noise influence data corresponding to each heat pump working mode based on a preset second calculation rule;
The comparison module is used for determining working mode comparison data according to the temperature regulation gain data and the working noise influence data;
And the screening module is used for obtaining the working mode selection data according to the working mode comparison data and a preset screening rule.
The present application may be further configured in a preferred example to: the computing module is further configured to:
Determining task adjustment time of each heat pump working mode based on the temperature adjustment task;
obtaining time difference data according to the task adjusting time and the preset standard time;
obtaining benefit influence degree data according to the time difference value data and preset unit time influence data;
and obtaining the temperature regulation gain data according to the gain influence degree data and preset standard gain data.
The present application may be further configured in a preferred example to: the analysis module is further configured to:
Acquiring noise level data corresponding to each heat pump working mode;
acquiring personnel data of unit time in the preset area within the task adjusting time;
and determining working noise influence data according to the noise level data, the personnel data in unit time and a preset noise influence coefficient.
The present application may be further configured in a preferred example to: the analysis module is further configured to obtain the people data of unit time located in the preset area in the task adjusting time, and the method includes:
acquiring personnel images appearing in the task adjusting time in the preset area;
determining a retention time of the person image;
Determining personal data of a person unit time corresponding to the person image according to the holding time of the person image;
and determining the personnel data of the unit time in the preset area in the task adjusting time according to the number of the personnel images and the personnel data of the unit time of the individual.
The present application may be further configured in a preferred example to: the comparison module is further configured to calculate a ratio of the temperature adjustment benefit data to the operating noise impact data, and determine operating mode comparison data based on the ratio.
Drawings
Fig. 1 is a schematic flow chart of an air source heat pump modeling control method in an embodiment of the application.
Fig. 2 is a schematic structural diagram of an air source heat pump modeling control system according to an embodiment of the present application.
Reference numerals illustrate: 1. an acquisition module; 2. a computing module; 3. an analysis module; 4. a comparison module; 5. and a screening module.
Detailed Description
The present embodiment is only for explanation of the present application and is not to be construed as limiting the present application, and modifications to the present embodiment, which may not creatively contribute to the present application as required, are within the scope of the claims of the present application as far as they are protected by patent law.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Embodiments of the application are described in further detail below with reference to the drawings.
The air source is an energy-saving device which uses high potential energy to enable heat to flow from a low-level heat source to a high-level heat source, and is a form of heat pump. The air source heat pump adopts a small amount of electric energy to drive a compressor to operate according to the reverse Carnot cycle principle, so that high-pressure liquid working medium is throttled and evaporated into gas in an evaporator, an axial flow fan is utilized to absorb a large amount of heat energy in air from the environment, the gas working medium is compressed into high-temperature and high-pressure gas by the compressor, then enters a condenser to be condensed into liquid state to release the absorbed heat into used water, the water is continuously and circularly heated, the heat-exchanged working medium is throttled and cooled by an expansion valve, and then the heat in the air is absorbed in the evaporator. The method is repeated, a small amount of electric energy is used for collecting a large amount of heat in the air, and the clean and environment-friendly air energy-new energy source which can be recycled is used; the air source heat pump has the beneficial effects of energy conservation and environmental protection, and is widely and widely used. The air source heat pump is classified into an integral unit and a modularized unit. The air source heat pump features include: high heat efficiency, energy conservation, environmental protection, safety, convenient use, simple maintenance, easy installation, low running cost, full-automatic intelligent control, no need of personnel management, wide application range and the like; the application of the air source heat pump has the application of various fields such as water heater, heating, refrigeration and the like. However, there are problems in that the performance of the heat pump is affected by the excessively low ambient temperature, and noise is generated during the operation of the heat pump; for areas like a laboratory, the flow conditions of personnel in the areas are frequent, the laboratory needs the heat pump to complete the temperature regulation task due to the requirement, and in the process of completing the temperature regulation work of the heat pump, low-frequency noise can be generated to influence personnel in a preset area, so that in order to ensure that the heat pump completes the temperature regulation task, the noise influence on the personnel in the preset area is reduced, the heat pump working mode needs to be analyzed and simulated, and a proper heat pump working mode is selected through the result of analysis and simulation calculation.
In order to achieve the above purpose, the application provides an air source heat pump modeling control method, and the main flow of the method is described as follows.
As shown in fig. 1:
step S101: and acquiring a temperature regulation task of an air source heat pump in a preset area and a plurality of heat pump working modes.
It can be understood that the preset area in the embodiment of the application can be various areas, the areas need to meet the requirement that personnel flow frequently, an air source heat pump exists in the areas, and noise generated when the heat pump works can influence the personnel in the areas; the multiple heat pump working modes are limited modes, specifically three modes, and the first mode is a high-frequency working mode, and in the mode, the task completion time is short and the noise influence is large; the second mode is an intermediate frequency working mode, in which the task completion time is medium and the noise influence is medium; the third is a low-frequency working mode, the task is long in finishing time, the noise influence is low, and the like; it should be noted that the above three operation modes are only exemplary, and in the actual operation process, the specific ranges of high frequency, intermediate frequency and low frequency may be divided into more specific ranges; it should be noted that, in the embodiment of the present application, in the preset area, the noise generated by the air source heat pump is a pre-calculated average value of the noise in the preset area when participating in calculation, which indicates that the noise born by the personnel at each position in the preset area is equal.
Step S102: and calculating temperature regulation gain data corresponding to each heat pump working mode based on a preset first calculation rule.
Specifically, in the embodiment of the present application, calculating the temperature adjustment benefit data corresponding to each heat pump working mode based on the preset first calculation rule includes: determining task adjustment time of each heat pump working mode based on the temperature adjustment task; obtaining time difference data according to the task adjusting time and the preset standard time; obtaining benefit influence degree data according to the time difference value data and preset unit time influence data; and obtaining the temperature regulation gain data according to the gain influence degree data and preset standard gain data.
The preset first calculation rule comprises a first calculation formula, wherein the first calculation formula is as follows:
T＝|t0-Δt|×f(t0-Δt)；
Wherein T represents temperature regulation gain data, T 0 represents task regulation time, Δt represents preset standard time, T 0 - Δt| represents time difference data, and when calculating the time difference data, the task regulation time may be greater than the preset standard time, may be equal to the preset standard time or may be less than the preset standard time, so that when calculating the time difference data, an absolute value of a difference between the two is taken as a calculation parameter; f (t 0 - Δt) represents preset unit time amount influence data, f (t 0 - Δt) is a piecewise function, and f (t 0 - Δt) and (t 0 - Δt) have a corresponding relationship, and because the time difference may be a positive value or a negative value, when participating in calculation, the absolute value is taken to perform calculation, and when selecting corresponding preset unit time amount influence data based on the time difference, the preset time difference range may be based, wherein t 1 is the lower limit of the range of the preset time difference range, t 2 is the upper limit of the range of the preset time difference range, and t 1、t2 is preset parameters, and the time difference can be obtained through empirical training according to historical data; t 2 is generally positive, t 1 is generally negative, where t 2 can be 2 and t 1 can be-2 in hours.
Step S103: and calculating working noise influence data corresponding to each heat pump working mode based on a preset second calculation rule.
Specifically, in the embodiment of the present application, calculating the working noise influence data corresponding to each of the heat pump working modes based on the preset second calculation rule includes: acquiring noise level data corresponding to each heat pump working mode; acquiring personnel data of unit time in the preset area within the task adjusting time; and determining working noise influence data according to the noise level data, the personnel data in unit time and a preset noise influence coefficient.
The preset second calculation rule includes a second calculation formula, where the second calculation formula is as follows:
Z＝f(x)×t0×s×g(x)；
Wherein Z represents working noise influence data, f (x) represents noise level data, t 0 represents task adjustment time, s represents personnel data in unit time, and g (x) represents a preset noise influence coefficient; the noise level data f (x) and the preset noise influence coefficient g (x) are both piecewise functions, x represents an x-th heat pump working mode, when x=1, the noise level data at the moment is c 1, the preset noise influence coefficient is k 1, when x=2, the noise level data at the moment is c 2, the preset noise influence coefficient is k 2, when x=3, the noise level data at the moment is c 3, and the preset noise influence coefficient is k 3; wherein c 1、c2、c3、k1、k2、k3 is a fixed parameter, and can be obtained through empirical training according to historical data.
Specifically, the obtaining the people data of unit time located in the preset area in the task adjusting time includes: acquiring personnel images appearing in the task adjusting time in the preset area; determining a retention time of the person image; determining personal data of a person unit time corresponding to the person image according to the holding time of the person image; and determining the personnel data of the unit time in the preset area in the task adjusting time according to the number of the personnel images and the personnel data of the unit time of the individual.
It can be understood that, in the preset area, the time for each person to appear in the preset area is not constant, so that the person data in unit time needs to be calculated, and the unit time is calculated by taking the task adjusting time as a whole; if the task adjusting time is 30 minutes, the unit time is 1 minute, less than 1 minute, and the personnel holding time of more than 20 seconds is calculated according to 1 minute, wherein the personnel holding time refers to the time that personnel appear in a preset area and are still in the preset area when the heat pump works; the specific unit time dividing standard can be set by itself, wherein the unit time with the retention time less than 20 seconds is omitted, and the unit time with the retention time greater than 20 seconds is carried; if the holding time of the person a is 3 minutes and 25 seconds, the personal data per unit time of the person a is 4, and if the holding time of the person a is 3 minutes and 05 seconds, the personal data per unit time of the person a is 3.
Step S104: and determining working mode comparison data according to the temperature regulation gain data and the working noise influence data.
Specifically, determining working mode comparison data according to the temperature regulation gain data and the working noise influence data comprises calculating a ratio of the temperature regulation gain data to the working noise influence data, and determining working mode comparison data according to the ratio; it can be understood that the ratio of the temperature adjustment gain data T and the operating noise influence data Z is calculated by calculating in step S102 and step S103, respectively, and then the ratio is calculated by using a preset ratio calculation formula.
Wherein K and B are fixed parameters and are used for adjusting the ratio result so that the ratio result is more in line with the actual situation; the fixed parameters K and B are obtained by training through historical data based on the experience of the person skilled in the art in advance.
Step S105: and obtaining working mode selection data according to the working mode comparison data and a preset screening rule.
After the working mode comparison data are obtained, comparing the working mode comparison data with a preset standard ratio threshold value based on a preset screening rule, and calculating the difference value of the working mode comparison data and the preset standard ratio threshold value to obtain a ratio difference value; then selecting the heat pump working mode with the smallest ratio difference as the working mode selection data according to the ratio difference corresponding to each heat pump working mode; it can be understood that the smaller the ratio difference, the closer the result obtained by adopting the corresponding heat pump working mode is to the theoretical standard result, the heat pump working mode can ensure that the heat pump can finish the temperature regulation task and reduce the influence on surrounding people.
The application also provides an air source heat pump modeling control system, as shown in fig. 2, which comprises an acquisition module 1, a control module and a control module, wherein the acquisition module is used for acquiring a temperature regulation task and a plurality of heat pump working modes of an air source heat pump in a preset area; the calculating module 2 is used for calculating temperature regulation gain data corresponding to each heat pump working mode based on a preset first calculating rule; the analysis module 3 is used for calculating working noise influence data corresponding to each heat pump working mode based on a preset second calculation rule; a comparison module 4 for determining working mode comparison data based on the temperature adjustment benefit data and the working noise impact data; and the screening module 5 is used for obtaining the working mode selection data according to the working mode comparison data and a preset screening rule.
The computing module 2 is further configured to: determining task adjustment time of each heat pump working mode based on the temperature adjustment task; obtaining time difference data according to the task adjusting time and the preset standard time; obtaining benefit influence degree data according to the time difference value data and preset unit time influence data; obtaining the temperature regulation gain data according to the gain influence degree data and preset standard gain data; the preset first calculation rule comprises a first calculation formula, wherein the first calculation formula is as follows:
T＝|t0-Δt|×f(t0-Δt)；
Wherein T represents temperature regulation gain data, T 0 represents task regulation time, Δt represents preset standard time, T 0 - Δt| represents time difference data, and when calculating the time difference data, the task regulation time may be greater than the preset standard time, may be equal to the preset standard time or may be less than the preset standard time, so that when calculating the time difference data, an absolute value of a difference between the two is taken as a calculation parameter; f (t 0 - Δt) represents preset unit time amount influence data, f (t 0 - Δt) is a piecewise function, and f (t 0 - Δt) and (t 0 - Δt) have a corresponding relationship, and because the time difference may be a positive value or a negative value, when participating in calculation, the absolute value is taken to perform calculation, and when selecting corresponding preset unit time amount influence data based on the time difference, the preset time difference range may be based, wherein t 1 is the lower limit of the range of the preset time difference range, t 2 is the upper limit of the range of the preset time difference range, and t 1、t2 is preset parameters, and the time difference can be obtained through empirical training according to historical data; t 2 is generally positive, t 1 is generally negative, where t 2 can be 2 and t 1 can be-2 in hours.
The analysis module 3 is further configured to: acquiring noise level data corresponding to each heat pump working mode; acquiring personnel data of unit time in the preset area within the task adjusting time; determining working noise influence data according to the noise level data, the person data in unit time and a preset noise influence coefficient; the preset second calculation rule includes a second calculation formula, where the second calculation formula is as follows:
Z＝f(x)×t0×s×g(x)；
Wherein Z represents working noise influence data, f (x) represents noise level data, t 0 represents task adjustment time, s represents personnel data in unit time, and g (x) represents a preset noise influence coefficient; the noise level data f (x) and the preset noise influence coefficient g (x) are both piecewise functions, x represents an x-th heat pump working mode, when x=1, the noise level data at the moment is c 1, the preset noise influence coefficient is k 1, when x=2, the noise level data at the moment is c 2, the preset noise influence coefficient is k 2, when x=3, the noise level data at the moment is c 3, and the preset noise influence coefficient is k 3; wherein c 1、c2、c3、k1、k2、k3 are all fixed parameters, and can be obtained through empirical training according to historical data; the step of obtaining the people data of unit time in the preset area in the task adjusting time comprises the following steps: acquiring personnel images appearing in the task adjusting time in the preset area; determining a retention time of the person image; determining personal data of a person unit time corresponding to the person image according to the holding time of the person image; and determining the personnel data of the unit time in the preset area in the task adjusting time according to the number of the personnel images and the personnel data of the unit time of the individual.
The comparison module 4 is further configured to calculate a ratio of the temperature adjustment benefit data to the operating noise impact data, and determine operating mode comparison data based on the ratio; it can be understood that the ratio of the temperature adjustment gain data T and the operating noise influence data Z is calculated by calculating in step S102 and step S103, respectively, and then the ratio is calculated by using a preset ratio calculation formula.
Wherein K and B are fixed parameters and are used for adjusting the ratio result so that the ratio result is more in line with the actual situation; the fixed parameters K and B are obtained by training through historical data based on the experience of the person skilled in the art in advance.
The above description is only illustrative of the preferred embodiments of the present application and the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present application is not limited to the specific combinations of technical features described above, but also covers other technical features which may be formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
Claims (10)
1. An air source heat pump modeling control method is characterized by comprising the following steps:
acquiring a temperature regulation task of an air source heat pump in a preset area and a plurality of heat pump working modes;
calculating temperature regulation gain data corresponding to each heat pump working mode based on a preset first calculation rule;
calculating working noise influence data corresponding to each heat pump working mode based on a preset second calculation rule;
Determining operational mode comparison data based on the temperature adjustment benefit data and the operational noise impact data;
and obtaining working mode selection data according to the working mode comparison data and a preset screening rule.
2. The air source heat pump modeling control method according to claim 1, wherein calculating the temperature adjustment benefit data corresponding to each heat pump operation mode based on the preset first calculation rule comprises:
Determining task adjustment time of each heat pump working mode based on the temperature adjustment task;
obtaining time difference data according to the task adjusting time and the preset standard time;
obtaining benefit influence degree data according to the time difference value data and preset unit time influence data;
and obtaining the temperature regulation gain data according to the gain influence degree data and preset standard gain data.
3. The air source heat pump modeling control method according to claim 2, wherein calculating the operation noise influence data corresponding to each of the heat pump operation modes based on the preset second calculation rule includes:
Acquiring noise level data corresponding to each heat pump working mode;
acquiring personnel data of unit time in the preset area within the task adjusting time;
and determining working noise influence data according to the noise level data, the personnel data in unit time and a preset noise influence coefficient.
4. The air source heat pump modeling control method according to claim 3, wherein the acquiring the person data per unit time within the preset area within the task adjustment time includes:
acquiring personnel images appearing in the task adjusting time in the preset area;
determining a retention time of the person image;
Determining personal data of a person unit time corresponding to the person image according to the holding time of the person image;
and determining the personnel data of the unit time in the preset area in the task adjusting time according to the number of the personnel images and the personnel data of the unit time of the individual.
5. An air source heat pump modeling control method according to claim 1, wherein said determining operation mode comparison data based on said temperature adjustment benefit data and said operation noise influence data includes calculating a ratio of said temperature adjustment benefit data to said operation noise influence data, and determining operation mode comparison data based on said ratio.
6. An air source heat pump modeling control system, comprising:
The acquisition module (1) is used for acquiring a temperature regulation task of an air source heat pump in a preset area and a plurality of heat pump working modes;
The calculation module (2) is used for calculating temperature regulation gain data corresponding to each heat pump working mode based on a preset first calculation rule;
The analysis module (3) is used for calculating working noise influence data corresponding to each heat pump working mode based on a preset second calculation rule;
A comparison module (4) for determining operational mode comparison data based on the temperature adjustment benefit data and the operational noise impact data;
and the screening module (5) is used for obtaining the working mode selection data according to the working mode comparison data and a preset screening rule.
7. An air source heat pump modeling control system as claimed in claim 6, wherein the computing module (2) is further configured to:
Determining task adjustment time of each heat pump working mode based on the temperature adjustment task;
obtaining time difference data according to the task adjusting time and the preset standard time;
obtaining benefit influence degree data according to the time difference value data and preset unit time influence data;
and obtaining the temperature regulation gain data according to the gain influence degree data and preset standard gain data.
8. The air source heat pump modeling control system of claim 6, wherein the analysis module (3) is further configured to:
Acquiring noise level data corresponding to each heat pump working mode;
acquiring personnel data of unit time in the preset area within the task adjusting time;
and determining working noise influence data according to the noise level data, the personnel data in unit time and a preset noise influence coefficient.
9. The air source heat pump modeling control system of claim 8, wherein the analysis module (3) is further configured to obtain the time-per-unit person data within the preset area for the task adjustment time includes:
acquiring personnel images appearing in the task adjusting time in the preset area;
determining a retention time of the person image;
Determining personal data of a person unit time corresponding to the person image according to the holding time of the person image;
and determining the personnel data of the unit time in the preset area in the task adjusting time according to the number of the personnel images and the personnel data of the unit time of the individual.
10. An air source heat pump modeling control system as claimed in claim 6 wherein said comparison module (4) is further configured to calculate a ratio of said temperature adjustment benefit data to said operating noise impact data, and to determine operating mode comparison data based on said ratio.
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