CN117646935A

CN117646935A - Multifunctional air source heat pump control method and system

Info

Publication number: CN117646935A
Application number: CN202311664318.5A
Authority: CN
Inventors: 廖炎冰; 温能飞; 余百灵
Original assignee: Shenzhen Boxuan Industrial Co ltd
Current assignee: Shenzhen Boxuan Industrial Co ltd
Priority date: 2023-12-06
Filing date: 2023-12-06
Publication date: 2024-03-05

Abstract

The invention discloses a multifunctional air source heat pump control method and system, and aims to improve the energy efficiency and adaptability of a heat pump system. First, the heat source demand characteristics of each season of the target area are analyzed through a clustering algorithm. And then, acquiring rated operation parameters of the heat pump group, calculating working efficiency at different temperatures by utilizing an entropy increase principle, and making a seasonal control scheme of the heat pump group. After the control scheme is implemented, the environmental temperature change trend is monitored in real time, and the working efficiency of the heat pump group is predicted through an LSTM algorithm, so that the seasonal control scheme is adjusted, and a real-time working control scheme is formed. The invention ensures that the multifunctional air source heat pump has good adaptability to environmental temperature change, and can effectively improve the energy utilization efficiency and the stability of the air source heat pump.

Description

Multifunctional air source heat pump control method and system

Technical Field

The invention relates to the technical field of air source heat pump control, in particular to a multifunctional air source heat pump control method and system.

Background

In modern heating systems, air source heat pumps are increasingly gaining attention because of their energy efficiency, environmental protection, and relatively low cost. The air source heat pump utilizes air as a heat source, and achieves indoor heating or hot water supply through heat pump circulation. However, conventional air source heat pumps have limitations in terms of operating efficiency, adaptation to ambient temperature changes, and seasonal demand regulation. With climate change and season change, environmental temperature fluctuations have a significant impact on the operating efficiency of the heat pump, especially in extreme weather conditions, which may significantly decrease its performance and efficiency.

Furthermore, conventional control methods generally employ fixed parameters or simple adjustment mechanisms, which cannot accurately cope with variations in heating demand and hot water demand from season to season, from time to time. This lack of flexibility and adaptability of the control strategy results in inefficient use of energy and increased operating costs.

Therefore, it is necessary to develop a novel control method to optimize the operation strategy of the air source heat pump, and improve the energy efficiency and stability of the air source heat pump under different seasons and different environmental conditions. The method can intelligently analyze and predict the heat source demand characteristics and adjust the heat pump operation parameters in real time, thereby realizing the efficient utilization of energy and the improvement of environmental adaptability.

Disclosure of Invention

In order to solve at least one of the above technical problems, the present invention provides a method and a system for controlling a multifunctional air source heat pump.

The first aspect of the invention provides a multifunctional air source heat pump control method, which comprises the following steps:

acquiring heat source supply requirements of a target area in each season, and analyzing seasonal heat source requirement characteristic data of the target area through a clustering algorithm;

acquiring rated operation parameters of a multifunctional air source heat pump group in a target area, and calculating working efficiency of the heat pump group at different temperatures;

Formulating a seasonal control scheme of the heat pump group according to the working efficiency and seasonal heat source demand characteristic data at different temperatures;

implementing a seasonal control scheme on the heat pump group, monitoring the change trend of the environmental temperature in the working state of the heat pump group in real time, and predicting the working efficiency loss value of the heat pump group according to the change trend of the temperature to obtain the actual working efficiency;

and adjusting the seasonal control scheme according to the actual working efficiency of the heat pump group to form a real-time working control scheme.

In this scheme, the obtaining the heat source supply demand of the target area in each season, analyzing seasonal heat source demand characteristic data of the target area by a clustering algorithm specifically includes:

acquiring heat source supply requirements of a target area in each season, wherein the heat source supply requirements comprise heat source supply quantity and heat source supply time, and seasonal heat source supply requirement data are obtained;

initializing each data in the seasonal heat source supply demand data into independent clusters, initializing a clustered distance measure and a data link criterion according to a hierarchical clustering algorithm, taking Euclidean distance as the distance measure, and taking the shortest link as the data link criterion;

Respectively calculating Euclidean distance between every two data points of the heat source supply quantity data and the heat source supply time data in the seasonal heat source supply demand data, and combining the data points according to a data link criterion to obtain a seasonal heat source supply quantity clustering result and a seasonal heat source supply time clustering result;

performing visualization operation according to the seasonal heat source supply quantity clustering result and the seasonal heat source supply time clustering result to obtain a heat source supply quantity distribution map and a heat source supply time distribution map of each season;

and carrying out joint analysis according to the heat source supply quantity distribution diagram and the heat source supply time distribution diagram, judging the requirements and the supply quantity of the heat source supply at different times in each season, and obtaining seasonal heat source requirement characteristic data.

In this scheme, the rated operation parameter of multi-functional air source heat pump group in the acquisition target area calculates the work efficiency of heat pump group under different temperatures, specifically does:

acquiring rated operation parameters of each heat pump of the multifunctional air source heat pump group in the target area, wherein the rated operation parameters comprise rated operation power and rated output heat;

Performing a simulation work test on the heat pump group according to the rated operation parameters, changing the environment temperature, and monitoring the actual output heat of the heat pump group in real time;

drawing a heat output change curve graph of the actual output heat, and carrying out efficiency analysis on the heat output change curve graph based on an entropy increase principle to obtain heat output entropy increase at different temperatures;

and calculating the working efficiency of the heat pump group at different temperatures according to the heat output entropy increment and the rated output heat.

In this scheme, the seasonal control scheme of the heat pump group is formulated according to the working efficiency and seasonal heat source demand characteristic data at different temperatures, specifically:

acquiring the current season and the current environmental temperature of the target area;

matching is carried out according to the current season of the target area and seasonal heat source demand characteristic data to obtain heat source demand characteristics of the current season;

matching according to the current environment temperature and the working efficiency of the heat pump group at different temperatures to obtain the working efficiency of the heat pump group at the current temperature;

and controlling the water inflow and the working time in advance of the heat pump group according to the heat source demand characteristics in the current season and the working efficiency at the current temperature to obtain a seasonal control scheme of the heat pump group.

In this scheme, implement seasonal control scheme to the heat pump group, real-time supervision heat pump group operating condition's place ambient temperature trend of change, according to the temperature trend prediction the work efficiency loss value of heat pump group obtains actual work efficiency, specifically does:

implementing a seasonal control scheme on the heat pump group, and monitoring the temperature change of the environment of the heat pump group in a working state along with the change of time in real time to obtain environment temperature change data;

introducing a time sequence analysis method to perform trend analysis on the environmental temperature change data to obtain temperature linear change trend characteristics;

constructing a working efficiency prediction model based on an LSTM algorithm, and initializing the weight and bias parameters of the working efficiency prediction model;

the temperature linear change trend characteristics and the working efficiency of the heat pump group at different temperatures are imported into a working efficiency prediction model for training and learning, and a mean square error is selected as a loss function for model parameter optimization;

and leading the current heat pump group working environment temperature and working time into a working efficiency prediction model to predict the working efficiency of a future preset time point, and calculating a working efficiency loss value of the heat pump group working according to a control scheme to obtain the actual working efficiency of the heat pump group.

In this scheme, according to the actual work efficiency of heat pump group to adjust seasonal control scheme forms real-time work control scheme, specifically does:

acquiring an environmental temperature difference forming a cold island effect under the working state of a heat pump group based on a big data network, and setting the environmental temperature difference as a temperature difference threshold;

predicting whether the working environment temperature change of the heat pump group in a preset time period in the future is larger than a temperature difference threshold value according to the temperature linear change trend characteristics;

if the working efficiency is larger than the preset value, starting an air circulation system of the heat pump group, monitoring the working efficiency of the heat pump group in real time, and if the working efficiency is lower than the preset value, adjusting the working power of the air circulation system;

and if the operation power of the heat pump group is smaller than the operation power, the operation time of the heat pump group is increased, and the seasonal control scheme is adjusted to form a real-time operation control scheme of the heat pump group.

The second aspect of the present invention also provides a multifunctional air source heat pump control system, comprising: the system comprises a memory and a processor, wherein the memory comprises a multifunctional air source heat pump control method program, and when the multifunctional air source heat pump control method program is executed by the processor, the following steps are realized:

implementing a control scheme for the heat pump group, monitoring the change trend of the environmental temperature in the working state of the heat pump group in real time, and predicting the working efficiency loss value of the heat pump group according to the change trend of the temperature to obtain the actual working efficiency;

In this scheme, the implementation control scheme to the heat pump group, the environmental temperature trend of being located under the real-time supervision heat pump group operating condition, according to the temperature trend prediction the work efficiency loss value of heat pump group obtains actual work efficiency, specifically does:

implementing a control scheme for the heat pump group, and monitoring the temperature change of the environment of the heat pump group in a working state along with the time change to obtain environment temperature change data;

and leading the current heat pump group working environment temperature and working time into a working efficiency prediction model to predict the working efficiency of a future time point, and calculating a working efficiency loss value of the heat pump group working according to a control scheme to obtain the actual working efficiency of the heat pump group.

Drawings

FIG. 1 shows a flow chart of a method of controlling a multi-functional air source heat pump of the present invention;

FIG. 2 shows a flow chart of the present invention for achieving practical operating efficiency;

FIG. 3 illustrates a flow chart of the present invention forming a real-time work control scheme;

fig. 4 shows a block diagram of a multifunctional air source heat pump control system of the present invention.

Detailed Description

In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.

Fig. 1 shows a flow chart of a method for controlling a multifunctional air source heat pump according to the present invention.

As shown in fig. 1, a first aspect of the present invention provides a method for controlling a multifunctional air source heat pump, including:

s102, acquiring heat source supply requirements of a target area in each season, and analyzing seasonal heat source requirement characteristic data of the target area through a clustering algorithm;

s104, acquiring rated operation parameters of a multifunctional air source heat pump group in a target area, and calculating working efficiency of the heat pump group at different temperatures;

s106, formulating a seasonal control scheme of the heat pump group according to the working efficiency and seasonal heat source demand characteristic data at different temperatures;

s108, implementing a seasonal control scheme on the heat pump group, monitoring the change trend of the environmental temperature of the heat pump group in a working state in real time, and predicting the working efficiency loss value of the heat pump group according to the change trend of the temperature to obtain the actual working efficiency;

S110, adjusting the seasonal control scheme according to the actual working efficiency of the heat pump group to form a real-time working control scheme.

The seasonal heat source demand characteristic data is obtained by carrying out cluster analysis on the seasonal heat source supply demand of the target area, so that the heat source demands of the target area in different seasons are accurately divided and understood; because the working efficiency of the heat pump group at different temperatures is different, the working efficiency at different temperatures is calculated, and synchronous analysis is carried out according to seasonal heat source demand characteristic data, so that a seasonal control scheme of the heat pump group is formulated, the heat source supply efficiency is optimized to the greatest extent, and stable heat sources can be provided under different seasons and temperature conditions; the environmental temperature change trend of the heat pump group in the working state is monitored in real time, potential performance problems are identified in advance through a trend prediction technology, the sudden problems in the operation of the heat pump group are reduced, and the reliability and the stability of the whole system are improved; according to the actual working efficiency of the heat pump group, the seasonal control scheme is adjusted in real time, different operation conditions are adapted by continuously optimizing the control strategy, the efficient operation state is maintained, the energy waste is reduced, the maintenance cost is reduced, and the overall performance level of the system is improved; the target area comprises factories, hotels, schools and the like; the heat pump group is a multifunctional air source heat pump group; the multifunctional air heat pump has the functions of an air circulation system, a prediction function and a data processing function.

According to the embodiment of the invention, the heat source supply requirements of the target area in each season are obtained, and seasonal heat source requirement characteristic data of the target area are analyzed through a clustering algorithm, specifically:

It should be noted that, clustering analysis is performed on seasonal heat source supply demand data through hierarchical clustering, and data with similar heat source supply quantity and heat source supply time are gathered into one type of data, so that heat source demand characteristic data of a target area in each season are analyzed; the patterns and the trends in the data can be rapidly and effectively identified and classified through hierarchical clustering, so that a more accurate and useful clustering result is obtained, the requirements and the supply amounts of heat source supply in different times in each season can be accurately judged through joint analysis of the heat source supply amount and the time distribution map, the disclosure of detailed characteristics of seasonal heat source requirements is facilitated, and key information is provided for formulating a more accurate and effective heat pump control strategy; the seasonal heat source supply demand data includes heat source supply demand data throughout the year; the heat source supply amount distribution map is a distribution of the supply amount of the heat source in different time periods in a time of day; the heat source supply time distribution map is the time distribution of heat source supply required by a daily time target area; the distance metric is a method of quantifying differences between different data points; the linking criteria defines how data points are combined into clusters; the seasonal heat source demand characteristic data includes heat source supply peak and valley characteristics, heat source demand time peak and valley characteristics, in different seasons.

According to the embodiment of the invention, the rated operation parameters of the multifunctional air source heat pump group in the target area are obtained, and the working efficiency of the heat pump group at different temperatures is calculated, specifically:

It should be noted that, performing a simulation work test on the heat pump group, changing the ambient temperature in real time, calculating the actual output heat of the heat pump group, and finally obtaining the work efficiency of the heat pump group at different temperatures; by drawing a heat output change curve graph, the output performance of the heat pump group at different temperatures can be intuitively displayed; the efficiency analysis is carried out on the heat output change curve graph by applying the entropy increase principle, so that the thermodynamic performance of the heat pump group working at different temperatures can be understood, and the efficiency of heat conversion and loss can be understood.

According to the embodiment of the invention, the seasonal control scheme of the heat pump group is formulated according to the working efficiency and seasonal heat source demand characteristic data at different temperatures, and specifically comprises the following steps:

It should be noted that, according to the heat source demand characteristics in the current season and the working efficiency of the heat pump group at the current temperature, a seasonal control scheme is formed for the heat pump group, which is helpful for saving energy, and simultaneously ensures stable and efficient heat source supply under different environmental conditions; according to heat source requirements in different seasons, controlling the water inflow of the heat pump group, avoiding heating excessive water resources and excessively consuming energy, and reducing operation cost; the heat pump group is controlled to work in advance, water resources can be heated in advance according to the demand time of the heat source, the heat source is ensured to be capable of guaranteeing the demands of users, and the satisfaction degree of the users is improved.

Fig. 2 shows a flow chart of the present invention for achieving practical working efficiency.

According to the embodiment of the invention, the seasonal control scheme is implemented on the heat pump group, the change trend of the environmental temperature in the working state of the heat pump group is monitored in real time, and the working efficiency loss value of the heat pump group is predicted according to the change trend of the temperature, so as to obtain the actual working efficiency, which is specifically as follows:

s202, implementing a seasonal control scheme on the heat pump group, and monitoring the temperature change of the environment where the heat pump group is in under the working state along with the time change in real time to obtain environment temperature change data;

s204, introducing a time sequence analysis method to perform trend analysis on the environmental temperature change data to obtain temperature linear change trend characteristics;

s206, constructing a work efficiency prediction model based on an LSTM algorithm, and initializing the weight and bias parameters of the work efficiency prediction model;

s208, the temperature linear change trend characteristics and the working efficiency of the heat pump group at different temperatures are led into a working efficiency prediction model for training and learning, and a mean square error is selected as a loss function for model parameter optimization;

s210, the working environment temperature and the working time length of the current heat pump group are led into a working efficiency prediction model to predict the working efficiency of a future preset time point, and the working efficiency loss value of the heat pump group working according to a control scheme is calculated to obtain the actual working efficiency of the heat pump group.

It should be noted that, since the heat pump group is composed of a plurality of air source heat pumps, and the heat pump group continuously absorbs the geothermal heat in the air to heat the water resource in the working state, the temperature of the environment where the heat pump group is located is reduced, and the available heat in the air is reduced, so that the working efficiency of the heat pump group is affected; the linear change trend characteristics of the environmental temperature in the working state of the heat pump group are identified by a time sequence analysis method, so that how the environmental conditions affect the working efficiency of the heat pump can be better understood and predicted; and constructing a working efficiency prediction model of the heat pump group through an LSTM algorithm, predicting the working efficiency of a future preset time point to obtain the working efficiency of the heat pump group in an actual working state, and being beneficial to identifying the reduction of the working efficiency in advance and taking preventive measures in time.

Fig. 3 shows a flow chart of the present invention forming a real-time work control scheme.

According to the embodiment of the invention, the seasonal control scheme is adjusted according to the actual working efficiency of the heat pump group to form a real-time working control scheme, which is specifically as follows:

s302, acquiring an environmental temperature difference forming a cold island effect under a working state of a heat pump group based on a big data network, and setting the environmental temperature difference as a temperature difference threshold;

S304, predicting whether the working environment temperature change of the heat pump group in a future preset time period is larger than a temperature difference threshold value according to the temperature linear change trend characteristics;

s306, if the working efficiency is larger than the preset value, starting an air circulation system of the heat pump group, monitoring the working efficiency of the heat pump group in real time, and if the working efficiency is lower than the preset value, adjusting the working power of the air circulation system;

and S308, if the operation power of the heat pump group is smaller than that, increasing the operation power of the heat pump group or prolonging the operation time of the heat pump group, and adjusting the seasonal control scheme to form a real-time operation control scheme of the heat pump group.

It should be noted that, due to the working characteristics of the heat pump group that absorbs heat in air to heat water resources, the working environment of the heat pump group will generate a cold island effect, the cold island effect will greatly affect the working efficiency of the heat pump group, limit the heat output, and the cold island effect is that some areas are lower than the ambient temperature, and forms an inverse phenomenon similar to the heat island effect; the temperature difference threshold value of the cold island effect is set, the working environment temperature change of the heat pump group is predicted through the temperature linear change trend characteristic, if the temperature difference threshold value is larger than the self-functional air circulation system of the multifunctional air source heat pump group, the air circulation capacity is increased, the working efficiency of the heat pump group is improved, and if the temperature difference threshold value is smaller than the self-functional air circulation system, the operating power of the heat pump group is increased or the working time of the heat pump group is prolonged, so that the resource consumption caused by the operation of the air circulation system is reduced; the environmental temperature difference is the temperature difference formed by the environmental temperature of the heat pump group and the surrounding environmental temperature; the air circulation system is a blower device of the heat pump group.

According to an embodiment of the present invention, further comprising:

acquiring historical climate data and region information of regions where different longitudes and latitudes are located through a big data network, wherein the historical climate data comprise temperature, wind speed, humidity and sunlight time, constructing a region climate database, wherein the region information comprises region names and region longitudes and latitudes, and importing the historical climate data and the region information into the region climate database for storage;

a principal component analysis method is introduced to analyze the seasonal variation characteristics of each region by the historical climate data to obtain seasonal climate variation characteristic data of each region, wherein the seasonal climate variation characteristic data comprises a temperature fluctuation range, a humidity fluctuation range and a wind speed intensity variation range;

classifying the climates of each region according to the seasonal variation characteristic data to obtain regional climate categories, and mapping the regional climate categories into a climate database;

acquiring working principle data of a heat pump group, and analyzing the influence of climate data on the working efficiency of the heat pump according to the working principle data to obtain climate influence data;

constructing working environment simulation models of the heat pump group in different climates based on a numerical simulation method and a digital twin technology, and importing working efficiency, working principle data and climate influence data of the heat pump group at different temperatures into the working environment simulation models for learning and model optimization;

Acquiring position information of a target area, matching the position information with a climate database, identifying the climate type of the target area, and simulating the climate type of the target environment and the working state of a heat pump group according to a working environment simulation model and a real-time working control scheme to obtain simulation operation data;

according to the simulation operation data, the working efficiency of the heat pump group under the climate type is estimated, and according to the working efficiency under the climate type, the influence degree of the climate type of the target area on the working of the heat pump group is analyzed;

and determining an air circulation system control scheme of the heat pump group according to the influence degree, and carrying out joint control on the heat pump group based on the air circulation system control scheme and the real-time working control scheme.

It should be noted that, because different climate types may affect the heat pump group, for example, in a cold climate environment, the working efficiency of the heat pump group may be greatly reduced, so that by affecting the climate type of the target area to the working efficiency of the heat pump group, the simulation operation is performed based on the working environment simulation model of the heat pump group in different climates based on the numerical simulation method and the digital twin technology, the extent of the influence of the current climate environment on the working of the heat pump group is identified, the working of the air circulation system of the heat pump group is controlled according to the extent of the influence, the air output of the air circulation system is controlled, and whether the air circulation system needs to be adjusted to be in a hot air mode is controlled, and finally, the applicable climate range of the heat pump group is greatly improved, which is beneficial to maintaining a higher heating effect in various climate conditions, improving the production and sales benefits of the heat pump group, and further improving the working efficiency of the heat pump group, not only increasing the market competitiveness of the heat pump group, but also improving the reliability and service life of the system.

According to an embodiment of the present invention, further comprising:

determining a working state data acquisition period of the heat pump group according to seasonal heat source demand characteristic data, and working the heat pump group according to a real-time working control scheme;

acquiring working state data and heat source supply data of the heat pump group in real time according to the working state data acquisition period;

comparing the heat source supply data with seasonal heat source demand characteristic data, judging whether the heat source supply meets seasonal heat source supply characteristics, and if so, taking the heat source supply data as heat source supply data for prediction to obtain periodic working state data and heat source supply data for periodic prediction;

constructing a working state prediction model of a heat pump group based on an LSTM algorithm, importing periodic working state data and heat source supply data for periodic prediction into the working state prediction model, analyzing the periodic change rule of the working state data and the heat source supply data, and taking the periodic change rule as a prediction basis of the working state prediction model;

according to the working state data acquisition period, working state data and heat source supply data of the current period are acquired and are imported into a working state prediction model, and the working state and heat source supply data of a heat pump group of the next period are predicted to obtain working state and heat source supply prediction data of the next period;

Monitoring the real-time working state and heat source data of the next period of the heat pump group in real time, comparing the real-time working state and heat source supply data of the next period with the working state and heat source supply prediction data of the next period, and judging whether the working state and the heat source supply data of the next period deviate from the prediction data or not;

if the heat pump group deviates, judging that the heat pump group is abnormal in operation, generating work abnormality early warning information and sending the work abnormality early warning information to the manager communication equipment.

It should be noted that, under the condition that the heat pump group may have abnormal operation in the working process, a working state prediction model is constructed through an LSTM algorithm, the working state and the heat source supply data of the next period are predicted through the working state and the heat source supply data of the current period, whether the real-time working state and the heat source supply data of the next period work according to the predicted data is monitored in real time, if not, the heat pump group is judged to have abnormal operation; by utilizing the working state prediction model based on the LSTM algorithm, the future working state and the heat source supply demand of the heat pump group can be accurately predicted, and any situation deviating from the normal working mode can be timely found and warned by monitoring and comparing the actual working state with the predicted data in real time, so that the system is timely adjusted or maintained, the risk of system faults is reduced, the generated abnormal working early warning information can be timely sent to the communication equipment of the manager, and the efficiency and the response speed of operation and maintenance management are improved.

The second aspect of the present invention also provides a multifunctional air source heat pump control system 4, comprising: the memory 41 and the processor 42, wherein the memory comprises a multifunctional air source heat pump control method program, and when the multifunctional air source heat pump control method program is executed by the processor, the following steps are realized:

According to an embodiment of the present invention, further comprising:

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.

Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. The multifunctional air source heat pump control method is characterized by comprising the following steps of:

2. The method for controlling a multi-functional air source heat pump according to claim 1, wherein the obtaining the heat source supply requirement of the target area in each season, analyzing the seasonal heat source requirement characteristic data of the target area by a clustering algorithm, specifically comprises:

3. The method according to claim 1, wherein the obtaining nominal operation parameters of the multi-functional air source heat pump group in the target area calculates the working efficiency of the heat pump group at different temperatures, specifically:

4. The method according to claim 1, wherein the seasonal control scheme of the heat pump group is formulated according to the working efficiency and seasonal heat source demand characteristic data at the different temperatures, specifically:

5. The method according to claim 1, wherein the seasonal control scheme is implemented on the heat pump group, the environmental temperature change trend of the heat pump group in the working state is monitored in real time, and the working efficiency loss value of the heat pump group is predicted according to the temperature change trend, so as to obtain the actual working efficiency, specifically:

6. The method according to claim 5, wherein the seasonal control scheme is adjusted according to the actual working efficiency of the heat pump group to form a real-time working control scheme, specifically:

7. The multifunctional air source heat pump control system is characterized by comprising a storage and a processor, wherein the storage comprises a multifunctional air source heat pump control method program, and when the multifunctional air source heat pump control method program is executed by the processor, the following steps are realized:

8. The system according to claim 7, wherein the obtaining the rated operation parameters of the multi-functional air source heat pump group in the target area calculates the working efficiency of the heat pump group at different temperatures, specifically:

9. The system of claim 7, wherein the seasonal control scheme of the heat pump group is formulated according to the working efficiency and seasonal heat source demand characteristic data at the different temperatures, specifically:

10. The system according to claim 7, wherein the implementation of the control scheme for the heat pump group monitors the change trend of the environmental temperature in the working state of the heat pump group in real time, predicts the loss value of the working efficiency of the heat pump group according to the change trend of the temperature, and obtains the actual working efficiency, specifically: