CN114562804A - Control method of air conditioner, server, air conditioner and air conditioner system - Google Patents
Control method of air conditioner, server, air conditioner and air conditioner system Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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Abstract
The invention discloses a control method of an air conditioner, a server, the air conditioner and an air conditioner system, wherein the control method of the air conditioner is applied to the server in the air conditioner system comprising the server and a plurality of air conditioners, and comprises the following steps: respectively acquiring the operation information of a plurality of air conditioners and the environmental information of the plurality of air conditioners; obtaining a control strategy according to the operation information and the environment information, wherein the control strategy is used for jointly adjusting the working states of the plurality of air conditioners; and issuing the control strategy to the plurality of air conditioners so that the plurality of air conditioners jointly adjust the working state according to the control strategy. The invention realizes the integral adjustment of all air conditioners in the air conditioner system and achieves the aim of integrally optimizing the power consumption of the air conditioner system.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to a control method of an air conditioner, a server, the air conditioner and an air conditioner system.
Background
At present, based on the improvement of energy-saving requirements, the inverter air conditioner gradually becomes the mainstream of the air conditioner industry, and the inverter air conditioner is provided with the frequency converter so as to adjust the frequency of an air conditioner compressor and enable the air conditioner to be always in the optimal rotating speed state, thereby improving the energy efficiency ratio of the air conditioner. However, in the case of a batch application scenario, such as a teaching building, a library, a large office area, and the like, the related air conditioner system cannot control the air conditioners operated in the area based on the requirement of energy saving, so that the overall power consumption of the system is optimized.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The embodiment of the invention provides a control method of an air conditioner, a server, the air conditioner and an air conditioner system, which can integrally optimize the power consumption of the air conditioner system.
In a first aspect, an embodiment of the present invention provides a method for controlling an air conditioner, where the method is applied to a server in an air conditioner system including the server and multiple air conditioners, and the method includes: respectively acquiring the operation information of a plurality of air conditioners and the environmental information of the plurality of air conditioners; obtaining a control strategy according to the operation information and the environment information, wherein the control strategy is used for jointly adjusting the working states of the plurality of air conditioners; and issuing the control strategy to the plurality of air conditioners so that the plurality of air conditioners jointly adjust the working state according to the control strategy.
The control method of the air conditioner provided by the embodiment of the invention at least has the following beneficial effects: the control method of the air conditioner is applied to a server in an air conditioner system, the server acquires the operation information of a plurality of air conditioners in an area and the environment information of the air conditioners, generates corresponding control strategies according to the operation information and the environment information of each air conditioner, and sends the control strategies to each air conditioner, so that the corresponding air conditioners can jointly adjust the working state through the control strategies, the integral adjustment of all the air conditioners in the air conditioner system is realized, and the purpose of integrally optimizing the power consumption of the air conditioner system is achieved.
It should be noted that the operation information includes current power consumption information and operation parameters, and the obtaining of the control policy according to the operation information and the environment information includes: inputting the current power consumption information and pre-stored historical power consumption information of the air conditioner into a pre-trained prediction model to obtain a power consumption prediction value; and obtaining a control strategy according to the power consumption predicted value, the operation parameters and the environment information.
In the technical scheme, the prediction model can realize prediction of the energy consumption information of the air conditioner at the future time, power consumption predicted values of the air conditioner at a plurality of future times can be obtained through inputting the power consumption information and the operation parameters at the current time into the prediction model, and a control strategy is obtained according to the power consumption predicted values, the operation parameters and the environment information of the air conditioner, so that judgment of the energy consumption of the air conditioner is realized, and reasonable optimization control is further realized.
It should be noted that, the obtaining a control policy according to the power consumption prediction value, the operation parameter, and the environment information includes: and inputting the power consumption predicted value, the operation parameters and the environment information into a pre-trained decision model to obtain a control strategy.
In the technical scheme, the decision model is a model trained offline by using historical operation information and historical environmental information of the air conditioner in advance, and the power consumption prediction value, the operation parameters and the environmental information of the air conditioner are input into the pre-trained decision model, so that the air conditioner obtains a more accurate optimization control strategy.
It should be noted that the control strategy includes control sub-strategies corresponding to the plurality of air conditioners one to one, and the control sub-strategies include at least one of increasing operation power consumption, reducing operation power consumption, and maintaining operation power consumption.
In the technical scheme, the server respectively generates the control sub-strategies corresponding to one another according to the operation information and the environment information of the plurality of air conditioners, the server generates different control sub-strategies according to different conditions of the air conditioners, and when the operation power consumption of one air conditioner in the air conditioner system is controlled to be increased, the operation power consumption of other air conditioners in the air conditioner system is controlled to be reduced or unchanged, so that the power consumption of the air conditioner system is integrally optimized.
In a second aspect, an embodiment of the present invention provides a method for controlling an air conditioner, which is applied to the air conditioner in an air conditioner system including a server and a plurality of air conditioners, and is characterized in that the method for controlling the air conditioner includes: acquiring operation information and environmental information of the air conditioner; sending the operation information and the environment information to the server, so that the server obtains a control strategy according to the operation information and the environment information, wherein the control strategy is used for jointly adjusting the working states of the plurality of air conditioners; and receiving the control strategy issued by the server, and jointly adjusting the working state according to the control strategy and the cooperation of other air conditioners in the air conditioner system.
The control method of the air conditioner provided by the embodiment of the invention at least has the following beneficial effects: the control method of the air conditioner is applied to the air conditioner in the air conditioner system, the air conditioner sends the running information and the environmental information of the air conditioner to the server, receives the control strategy from the server and adjusts the working state of the air conditioner, wherein the control strategy is generated by the server jointly according to a plurality of air conditioners in the air conditioner system, and the aim of integrally optimizing the power consumption of the air conditioner system is fulfilled by receiving the optimization control strategy from the server and jointly adjusting the working state by matching with the rest air conditioners in the air conditioner system.
It should be noted that the operation information includes current power consumption information and operation parameters, and the operation information and the environment information are sent to the server, so that the server obtains a control policy according to the operation information and the environment information, including: and sending the current power consumption information, the operation parameters and the environment information to the server, so that the server obtains a control strategy according to the power consumption predicted value, the operation parameters and the environment information after inputting the current power consumption information and the pre-stored historical power consumption information of the air conditioner into a pre-trained prediction model to obtain a power consumption predicted value.
In the technical scheme, the prediction model can realize prediction of the energy consumption information of the air conditioner at the future time, the power consumption information and the operation parameters at the current time are sent to the server and then input into the prediction model by the server, power consumption predicted values of the air conditioner at a plurality of future times can be obtained in a prediction mode, and the server obtains a control strategy according to the power consumption predicted values, the operation parameters and the environment information of the air conditioner, so that judgment of the energy consumption of the air conditioner is realized, and reasonable optimization control is further realized.
It should be noted that, after jointly adjusting the operating state according to the control strategy in cooperation with the remaining air conditioners in the air conditioner system, the method further includes: and displaying the current energy consumption information.
In the technical scheme, after the air conditioner jointly adjusts the working state according to the control strategy and the rest air conditioners in the air conditioner system, the energy consumption information of the air conditioner is displayed so that a user can check the energy consumption information conveniently, and the user can intuitively find the change of the working state of the air conditioner.
It should be noted that the control strategy includes control sub-strategies corresponding to the plurality of air conditioners one to one, and the control sub-strategies include at least one of increasing operation power consumption, reducing operation power consumption, and maintaining operation power consumption.
In the technical scheme, the air conditioners obtain the corresponding control sub-strategies generated by the server, the server generates different control sub-strategies according to different conditions of each air conditioner, and when the running power consumption of one air conditioner in the air conditioner system is controlled to be increased, the running power consumption of other air conditioners in the air conditioner system is controlled to be reduced or unchanged, so that the power consumption of the air conditioner system is integrally optimized.
In a third aspect, an embodiment of the present invention further provides a server, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the control method according to any one of the embodiments of the first aspect of the present invention. The server sends a control strategy for jointly adjusting the working states of a plurality of air conditioners in the air conditioner system, so that the aim of integrally optimizing the power consumption of the air conditioner system is fulfilled.
In a fourth aspect, an embodiment of the present invention further provides an air conditioner, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the control method according to any one of the second embodiment of the present invention when executing the computer program. The air conditioner receives the optimization control strategy from the server and is matched with other air conditioners in the air conditioner system to jointly adjust the working state, so that the purpose of integrally optimizing the power consumption of the air conditioner system is achieved.
In a fifth aspect, an embodiment of the present invention further provides an air conditioner system, which is characterized by including the server according to the embodiment of the third aspect of the present invention and an air conditioner according to the fourth aspect of the present invention. The air conditioner system can achieve the purpose of integrally optimizing the power consumption of the system.
In a sixth aspect, the embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are configured to enable a computer to execute the control method according to any one of the first aspect embodiments of the present invention or the control method according to any one of the second aspect embodiments of the present invention. The computer can enable the air conditioner system to achieve the aim of integrally optimizing the power consumption of the air conditioner system by executing the control method of the embodiment.
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 claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flowchart of a control method of an air conditioner according to some embodiments of the present invention;
fig. 2 is a flowchart of a control method of an air conditioner according to another embodiment of the present invention;
fig. 3 is a flowchart of a control method of an air conditioner according to another embodiment of the present invention;
FIG. 4 is a diagram of a scenario in which an air conditioner system is used according to some embodiments of the present invention;
FIG. 5 is a flow chart of an adjustment method for reducing power consumption of an air conditioner according to some embodiments of the present invention;
FIG. 6 is a flow chart of an adjustment method for reducing power consumption of an air conditioner according to another embodiment of the present invention;
FIG. 7 is a flow chart of an adjustment method for reducing power consumption of an air conditioner according to another embodiment of the present invention;
fig. 8 is a flowchart of a control method of an air conditioner according to another embodiment of the present invention;
FIG. 9 is a flow chart of an adjustment method for reducing power consumption of an air conditioner according to another embodiment of the present invention;
FIG. 10 is a flow chart illustrating an adjustment method for reducing power consumption of an air conditioner according to another embodiment of the present invention;
FIG. 11 is a flow chart illustrating an adjustment method for reducing power consumption of an air conditioner according to another embodiment of the present invention;
FIG. 12 is a schematic diagram of an air conditioner system provided by some embodiments of the present invention;
fig. 13 is a schematic diagram of an air conditioner system according to further embodiments of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be understood that in the description of the embodiments of the present invention, the plurality (or plurality) means two or more, more than, less than, more than, etc. are understood as excluding the present numbers, and more than, less than, etc. are understood as including the present numbers. If the description of "first", "second", etc. is used for the purpose of distinguishing technical features, it is not intended to indicate or imply relative importance or to implicitly indicate the number of indicated technical features or to implicitly indicate the precedence of the indicated technical features.
The embodiment of the invention provides a control method of an air conditioner, a server, the air conditioner, an air conditioner system and a computer readable storage medium, wherein the server acquires operation information of a plurality of air conditioners in an area and environment information of the air conditioners, generates corresponding control strategies according to the operation information and the environment information of each air conditioner, and sends the control strategies to each air conditioner, and the corresponding air conditioners jointly adjust the working state through the control strategies, so that the overall adjustment of all the air conditioners in the air conditioner system is realized, and the purpose of integrally optimizing the power consumption of the air conditioner system is achieved.
The embodiments of the present invention will be further explained with reference to the drawings.
An embodiment of the present invention provides a control method for an air conditioner, which is applied to a server in an air conditioner system including a server and a plurality of air conditioners, and as shown in fig. 1, the control method according to the embodiment of the present invention includes, but is not limited to, step S110, step S120, and step S130.
Step S110, respectively obtaining the operation information of the plurality of air conditioners and the environmental information of the plurality of air conditioners.
The server respectively obtains operation information of a plurality of air conditioners in the air conditioner system and environment information where the plurality of air conditioners are located, wherein the operation information of the air conditioners comprises but is not limited to one or more of input voltage, input current, condenser temperature, evaporator temperature, compressor operation frequency and indoor and outdoor fan rotating speed, and the environment information of the air conditioners comprises but is not limited to indoor and outdoor temperature information.
And step S120, obtaining a control strategy according to the operation information and the environment information.
It should be noted that the server obtains a control strategy according to the operation information and the environment information, the control strategy is obtained by the server jointly according to the operation information and the environment information of the plurality of air conditioners in the air conditioner system, the control strategy is used for jointly adjusting the working states of the plurality of air conditioners in the air conditioner system instead of controlling the working state of only one single air conditioner, and the operation strategies of all the air conditioners in the air conditioner system can be corrected through the control strategy.
And step S130, issuing the control strategy to the plurality of air conditioners so that the plurality of air conditioners jointly adjust the working state according to the control strategy.
It should be noted that, after obtaining the control policy according to the operation information and the environment information, the server issues the control policy to the plurality of air conditioners, and the plurality of air conditioners jointly adjust the working state through the control policy, so as to achieve the overall adjustment of all the air conditioners in the air conditioner system, the control policy is an instruction for performing optimal control on the air conditioners, and the server adjusts the working state of each air conditioner in the air conditioner system instead of the working state of a single air conditioner by sending an instruction for performing optimal control of joint adjustment to each air conditioner, thereby achieving the purpose of integrally optimizing the power consumption of the air conditioner system.
Referring to fig. 2, fig. 2 is a schematic diagram of an embodiment of a refinement procedure of step S120 in fig. 1, where step S120 includes, but is not limited to, step S210 and step S220.
And step S210, inputting the current power consumption information and the pre-stored historical power consumption information of the air conditioner into a pre-trained prediction model to obtain a power consumption prediction value.
It should be noted that the operation information of the air conditioner acquired by the server includes, but is not limited to, current power consumption information and operation parameters of the air conditioner, the current energy consumption information is energy consumption information sent to the server by the air conditioner at the current time, the operation parameters are also operation parameters of the air conditioner itself sent to the server by the air conditioner at the current time, the server inputs the current power consumption information and pre-stored historical power consumption information of the air conditioner to a pre-trained prediction model to obtain a power consumption prediction value, wherein the historical power consumption information is power consumption information of the air conditioner stored in the server by the server at a plurality of times before the current time, the prediction model is a prediction model obtained by the server through offline training according to the historical operation information of the air conditioner, the power consumption prediction values of the air conditioner at a plurality of times in the future can be predicted through the prediction model, and the judgment of the energy consumption of the air conditioner at the future time is realized, on the premise of meeting the requirements of the embodiment of the invention, the prediction model can be an ARMR model or a neural network model obtained by off-line training, and the embodiment of the invention does not limit the prediction model specifically.
It should be noted that the historical energy consumption information is the energy consumption information of the air conditioner, which is stored in the server by the server according to a plurality of moments before the current moment, and on the premise of meeting the requirements of the embodiment of the present invention, the historical energy consumption information may be the historical energy consumption information of any long moment, and it can be understood that the longer the time of the historical energy consumption information adopted by the prediction model is, the more accurate the prediction result is, and the embodiment of the present invention does not specifically limit the time.
The control method of the air conditioner according to the embodiment of the present invention obtains the power consumption information and the operation parameters of the air conditioner at the current time in real time, and sends the obtained power consumption information and the operation parameters to the server for processing, and the obtained predicted power consumption value also changes in real time according to the operation information of the air conditioner.
And step S220, obtaining a control strategy according to the power consumption predicted value, the operation parameters and the environmental information.
It should be noted that the server obtains the control strategy by using the predicted power consumption value generated by the prediction model and combining the current operating parameter and the environmental information of the air conditioner, and the server obtains the control strategy according to the predicted power consumption value, the operating parameter and the environmental information of the air conditioner, so that the judgment of the energy consumption of the air conditioner is realized, and the reasonable optimization control is further realized.
It should be noted that, in the control method of the air conditioner according to the embodiment of the present invention, the power consumption information and the operation parameter of the air conditioner at the current time are obtained in real time and sent to the server for processing, and the obtained predicted power consumption value is also changed in real time according to the operation information of the air conditioner, so that the control policy made by the server is also changed in real time according to the operation information of the air conditioner.
Referring to fig. 3, fig. 3 is a schematic diagram of an embodiment of a refinement procedure of step S220 in fig. 2, where step S220 includes, but is not limited to, step S310 and step S320.
Step S310, the predicted power consumption value, the operation parameters and the environmental information are input into a pre-trained decision model.
It should be noted that, the server obtains the control strategy according to the power consumption predicted value, the operation parameters and the environmental information, and firstly, the power consumption predicted value, the operation parameters and the environmental information obtained by the prediction model are input to a decision model trained in advance, the decision model is obtained by combining the historical energy consumption information, the historical operation parameters and the historical environmental information of the air conditioner with the control strategy to be realized through offline training, and the air conditioner can obtain a more accurate optimized control strategy through the decision model.
And step S320, obtaining a control strategy according to the decision model.
It should be noted that, after the server inputs the power consumption predicted value, the operation parameter and the environmental information into a decision model trained in advance, the decision model outputs the power consumption predicted value, the operation parameter and the environmental information to obtain a control strategy corresponding to the air conditioner, specifically, the decision model is realized through a decision algorithm, and the server processes the power consumption predicted value, the operation parameter and the environmental information by using the decision algorithm to obtain the control strategy, so that the air conditioner can obtain a more accurate optimized control strategy, and the purpose of integrally optimizing the power consumption of the air conditioner system is achieved. On the premise of meeting the requirements of the embodiment of the invention, the decision model can be a decision tree or a neural network model obtained by off-line training, and the embodiment of the invention does not specifically limit the decision model.
It should be noted that, the control strategy obtained by the server according to the operation information and the environment information includes control sub-strategies corresponding to a plurality of air conditioners one by one, the control sub-strategies include that the corresponding air conditioners execute at least one of operation power consumption improvement, operation power consumption reduction and operation power consumption maintenance, when the power consumption predicted values at a plurality of moments in the future are continuously higher, the server gives priority to user experience, the load requirement of the user on the air conditioners is met, the operation power consumption of the air conditioners is controlled to be improved, when the power consumption predicted values at a plurality of moments in the future are continuously lower, the server gives priority to energy conservation, the operation power consumption of the air conditioners is controlled to be reduced, when the power consumption predicted values at a plurality of moments in the future are between the power consumption predicted values, the server gives priority to optimization, the operation power consumption of the air conditioners is controlled to be maintained to be unchanged or reduced to a small extent, and in the air conditioner system, the control strategies of the plurality of air conditioners are jointly adjusted, the whole optimization and adjustment of the air conditioner system are realized, when the operation power consumption of one air conditioner in the air conditioner system is increased, the operation power consumption is reduced or maintained unchanged by controlling the other air conditioners, so that the whole optimization and adjustment of the system are realized, and the corresponding air conditioner is adjusted to different working states by controlling the sub-strategies.
With respect to the operation of the server performing the joint adjustment on the plurality of air conditioners by using the control sub-policies corresponding to the plurality of air conditioners one to one, a specific example is described below, referring to fig. 4, where fig. 4 is a scene diagram of an air conditioner application system according to some embodiments of the present invention, where a first room 101 in which a first air conditioner 105 is applied is included, a first room 101 has more users 104 therein, a second room 102 in which a second air conditioner 106 is applied is included, a second room 102 in which a second air conditioner 102 has fewer users 104 therein, a third room 103 in which a third air conditioner 107 is applied is included, and no user 104 is present in the third room 103, referring to fig. 5, in this example, the server performs the joint adjustment on the plurality of air conditioners by using the control sub-policies corresponding to the plurality of air conditioners one to one, including, but not limited to, step S410 and step S420.
In step S410, when the predicted power consumption value is greater than the first threshold, a first control sub-strategy is generated.
And step S420, issuing the first control sub-strategy to the corresponding air conditioner so as to enable the corresponding air conditioner to enter a first working mode.
It should be noted that, when the predicted power consumption value is greater than the first threshold, it is determined that the corresponding air conditioner is in the high load state at this time, the server makes the corresponding air conditioner enter the first operating mode by outputting the first control sub-policy, where the first threshold is a preset value, and the first threshold is used to determine whether the air conditioner is in the high load state according to the predicted power consumption information. Referring to fig. 4, the load in the first room 101 is the heaviest, so the first operating mode is mainly based on user experience, the first operating mode includes setting the temperature of the first air conditioner 105 to be unchanged, increasing the rotation speed of the fan of the first air conditioner 105, increasing the air volume of the first air conditioner 105, reducing the frequency of the compressor of the first air conditioner 105, and the like.
Referring to fig. 6, in this example, the server performs joint adjustment on a plurality of air conditioners using control sub-policies corresponding to the plurality of air conditioners one to one, including but not limited to step S510 and step S520.
Step S510, when the predicted power consumption value is smaller than the first threshold and larger than the second threshold, a second control sub-strategy is generated.
And step S520, issuing the second control sub-strategy to the corresponding air conditioner so as to enable the corresponding air conditioner to enter a second working mode.
It should be noted that, when the predicted power consumption value is smaller than the first threshold and larger than the second threshold, it is determined that the corresponding air conditioner is in the medium load state, the server outputs the second control sub-policy to enable the corresponding air conditioner to enter the second operating mode, where the second threshold is a preset value, and the second threshold is used to determine whether the air conditioner is in the low load state according to the predicted power consumption information, referring to fig. 4, the load in the second room 101 is light, so that the second operating mode is mainly optimized, and includes increasing the rotation speed of the fan of the second air conditioner 106, increasing the air volume of the second air conditioner 106, and decreasing the frequency of the compressor of the second air conditioner 106, and decreasing the power consumption of the second air conditioner 106 by a small margin.
Referring to fig. 7, in this example, the server performs joint adjustment on a plurality of air conditioners using control sub-policies corresponding to the plurality of air conditioners one to one, including but not limited to step S610 and step S620.
And step S610, when the predicted power consumption value is smaller than the second threshold value, generating a third control sub-strategy.
And step S620, issuing the third control sub-strategy to the corresponding air conditioner so as to enable the corresponding air conditioner to enter a third working mode.
It should be noted that, when the predicted power consumption value is smaller than the second threshold value, it is indicated that the corresponding air conditioner is in a low load state, the server outputs a third control sub-policy to enable the corresponding air conditioner to enter a third operating mode, referring to fig. 4, the load in the third room 103 is the lightest, so the third operating mode is mainly based on power consumption, and the third operating mode includes one or more of increasing the temperature of the third air conditioner 107, reducing the frequency of the compressor of the third air conditioner 107, and reducing the rotation speed of the fan of the third air conditioner 107, thereby greatly reducing the power consumption of the third air conditioner 107.
An embodiment of the present invention provides a control method for an air conditioner, which is applied to an air conditioner in an air conditioner system including a server and a plurality of air conditioners, and as shown in fig. 8, the control method according to the embodiment of the present invention includes, but is not limited to, step S710, step S720, and step S730.
Step S710, acquiring the operation information and the environmental information of the air conditioner.
It should be noted that the air conditioner acquires its own operation information and environment information, wherein the operation information of the air conditioner includes, but is not limited to, one or more of input voltage, input current, condenser temperature, evaporator temperature, compressor operation frequency, and indoor and outdoor fan rotation speed, and the environment information of the air conditioner includes, but is not limited to, indoor and outdoor temperature information, so as to send the operation information and the environment information to the server by acquiring the operation information and the environment information of the air conditioner.
Step S720, the operation information and the environment information are sent to the server.
It should be noted that the air conditioner acquires its own operation information and environment information, and then sends them to the server, so that the server processes the operation information and environment information according to the air conditioner, and the server obtains a control strategy according to the operation information and environment information, where the control strategy is obtained by combining the operation information and environment information of multiple air conditioners in the air conditioner system, and the control strategy is used to jointly adjust the operating states of multiple air conditioners in the air conditioner system, rather than controlling the operating state of a single air conditioner, and the operation strategies of all air conditioners in the air conditioner system can be modified by the control strategy.
And step S730, receiving the control strategy issued by the server, and adjusting the working state in cooperation with other air conditioners in the air conditioner system according to the control strategy.
It should be noted that, after obtaining the control strategy according to the operation information and the environment information, the server issues the control strategy to the plurality of air conditioners, the air conditioners receive the control strategy issued by the server, and the working state is jointly adjusted by matching with other air conditioners in the air conditioner system according to the control strategy, the working state of a plurality of air conditioners in the air conditioner system is jointly adjusted through a control strategy, so that the overall adjustment of all the air conditioners in the air conditioner system is realized, the control strategy is an instruction for carrying out optimal control on the air conditioners, the server adjusts the working state of each air conditioner in the air conditioner system by sending the instruction for carrying out the optimal control of the joint adjustment to each air conditioner, instead of the working state of a single air conditioner, the air conditioner is matched with other air conditioners to adjust the working state, so that the aim of integrally optimizing the power consumption of the air conditioner system is fulfilled.
It should be noted that the operation information of the air conditioner includes, but is not limited to, the current power consumption information and the operation parameters of the air conditioner, the current power consumption information is the power consumption information sent to the server by the air conditioner at the current time, the operation parameters are also the operation parameters of the air conditioner itself sent to the server by the air conditioner at the current time, after the air conditioner sends the current power consumption information, the operation parameters and the environment information to the server, so that the server inputs the current power consumption information and the pre-stored historical power consumption information of the air conditioner into the pre-trained prediction model to obtain the power consumption prediction value, wherein the historical power consumption information is the power consumption information of the air conditioner stored in the server by the server according to a plurality of times before the current time, the prediction model is a prediction model obtained by the server through off-line training according to the historical operation information of the air conditioner, the power consumption prediction value of the air conditioner at a plurality of times in the future can be predicted through the prediction model, the judgment of the energy consumption of the air conditioner at the future moment is realized, and on the premise of meeting the requirements of the embodiment of the invention, the prediction model can be an ARMR model or a neural network model obtained by off-line training, and the embodiment of the invention does not specifically limit the ARMR model or the neural network model.
It should be noted that the historical energy consumption information is the energy consumption information of the air conditioner, which is stored in the server by the server according to a plurality of moments before the current moment, and on the premise of meeting the requirements of the embodiment of the present invention, the historical energy consumption information may be the historical energy consumption information of any long moment, and it can be understood that the longer the time of the historical energy consumption information adopted by the prediction model is, the more accurate the prediction result is, and the embodiment of the present invention does not specifically limit the time.
The control method of the air conditioner in the embodiment of the present invention obtains the power consumption information and the operation parameters of the air conditioner at the current time in real time, and sends the power consumption information and the operation parameters to the server for processing, and the obtained predicted power consumption value also changes in real time according to the operation information of the air conditioner.
It should be noted that the server obtains the control strategy by using the predicted power consumption value generated by the prediction model and combining the current operating parameter and the environmental information of the air conditioner, and the server obtains the control strategy according to the predicted power consumption value, the operating parameter and the environmental information of the air conditioner, so that the judgment of the energy consumption of the air conditioner is realized, and the reasonable optimization control is further realized.
It should be noted that, in the control method of the air conditioner according to the embodiment of the present invention, the power consumption information and the operation parameter of the air conditioner at the current time are obtained in real time and sent to the server for processing, and the predicted power consumption value obtained by the server also changes in real time according to the operation information of the air conditioner, so that the control policy made by the server also changes in real time according to the operation information of the air conditioner.
It should be noted that, after the air conditioner cooperates with other air conditioners in the air conditioner system to jointly adjust the working state according to the control strategy, the air conditioner also displays the current energy consumption information, the air conditioner displays the energy consumption information of the air conditioner itself for the user to check, the user can visually find the change of the working state of the air conditioner, the air conditioner can display the current energy consumption information through the indoor unit panel or display the current energy consumption information through the remote controller, and the air conditioner can also display the current energy consumption information through other modes on the premise of meeting the requirements of the embodiment of the present invention, which is not limited in the embodiments of the present invention.
It should be noted that the control strategy received by the air conditioner includes a control sub-strategy that the server is in one-to-one correspondence with each air conditioner after being processed by a plurality of air conditioners in the air conditioner system, the control sub-strategy includes that the corresponding air conditioner executes at least one of operation power consumption improvement, operation power consumption reduction and operation power consumption maintenance, when the power consumption predicted values obtained by the server at a plurality of moments in the future are continuously higher, the air conditioner mainly takes user experience to meet the load requirements of users on the air conditioner and improve the operation power consumption of the air conditioner, when the power consumption predicted values at a plurality of moments in the future are continuously lower, the air conditioner mainly saves energy and reduces the operation power consumption of the air conditioner, when the power consumption predicted values at a plurality of moments in the future are between the two, the air conditioner mainly optimizes to maintain the operation power consumption of the air conditioner unchanged or reduce the operation power consumption in a small amplitude, in the air conditioner system, the control strategies of a plurality of air conditioners are adjusted in a combined mode, the overall optimization and adjustment of the air conditioner system are achieved, when the operation power consumption of one air conditioner in the air conditioner system is increased, the power consumption of the other air conditioners is reduced or maintained unchanged in a matched mode, and therefore the purpose of integrally optimizing the power consumption of the air conditioner system is achieved, and the corresponding air conditioners can adjust different working states through the control sub-strategies.
Referring to fig. 4, fig. 4 is a schematic diagram of an application air conditioner system according to some embodiments of the present invention, where the application air conditioner system includes a first room 101 to which a first air conditioner 105 is applied, a first room 101 in which there are more users 104 in the first room 101, a second room 102 to which a second air conditioner 106 is applied, a second room 102 in which there are fewer users 104 in the second room 102, a third room 103 to which a third air conditioner 107 is applied, and no user 104 in the third room 103, and referring to fig. 9, in this example, the air conditioner receiving server is adjusted by using the control sub-policies corresponding to the plurality of air conditioners one by one, including but not limited to step S810 and step S820.
Step S810, receiving a first control sub-policy from the server.
And step S820, responding to the first control sub-strategy, and controlling the air conditioner to enter a first working mode.
It should be noted that, the air conditioner receives the first control sub-strategy from the server, when the predicted power consumption value is greater than the first threshold value, the server generates the first control sub-strategy, when the predicted power consumption value is greater than the first threshold value, it is indicated that the corresponding air conditioner is in a high load state at this time, in response to the first control sub-strategy, the air conditioner enters a first working mode, the first threshold value is a preset value, the first threshold value is used for determining whether the air conditioner is in the high load state according to the predicted power consumption information, referring to fig. 4, the load in the first room 101 is the heaviest, therefore, the first working mode is based on the user experience, the first working mode includes setting the temperature of the first air conditioner 105 to be unchanged, increasing the rotation speed of the fan of the first air conditioner 105, increasing the air volume of the first air conditioner 105, decreasing the frequency of the compressor of the first air conditioner 105, and the like, in the variable frequency air conditioner, the power consumption of the compressor is large, the power consumption reduced by reducing the frequency of the compressor is far larger than the power consumption caused by increasing the rotating speed of the fan, and the power consumption of the first air conditioner 105 is reduced by a small amplitude under the condition that the user body feeling is not influenced.
Referring to fig. 10, in this example, the air conditioner receiving server performs adjustment using the control sub-policies corresponding to the plurality of air conditioners one to one, including but not limited to step S910 and step S920.
Step S910, receiving a second control sub-policy from the server.
And step S920, in response to the second control sub-strategy, controlling the air conditioner to enter a second operation mode.
It should be noted that the air conditioner receives the second control sub-strategy from the server, and when the predicted power consumption value is smaller than the first threshold value and larger than the second threshold value, the server generates the second control sub-strategy, when the predicted power consumption value is smaller than the first threshold and larger than the second threshold, which indicates that the corresponding air conditioner is in the medium load state, referring to fig. 4, the load in the second room 102 is light, therefore, in response to the second control sub-strategy, the second air conditioner 106 enters a second operation mode, the second threshold is a preset value, the second threshold is used for judging whether the air conditioner is in a low load state or not according to the predicted power consumption information, the second operation mode is mainly optimized, the second operation mode comprises increasing the rotation speed of a fan of the second air conditioner 106, increasing the air volume of the second air conditioner 106, and reducing the frequency of a compressor of the second air conditioner 106, and the power consumption of the second air conditioner 106 is reduced in a small amplitude.
Referring to fig. 11, in this example, the air conditioner receiving server performs adjustment using the control sub-policies corresponding to the plurality of air conditioners one to one, including but not limited to step S1010 and step S1020.
Step S1010, receiving a third control sub-policy from the server.
And step S1020, responding to a third control sub-strategy, and controlling the air conditioner to enter a third working mode.
It should be noted that the air conditioner receives a third control sub-strategy from the server, when the predicted power consumption value is smaller than the second threshold value, the server generates the third control sub-strategy, when the predicted power consumption value is smaller than the second threshold value, it is described that the corresponding air conditioner is in a low load state at this time, referring to fig. 4, the load in the first room 101 is the lightest, so in response to the third control sub-strategy, the third air conditioner 107 enters a third operating mode, the third operating mode is mainly energy consumption, and the third operating mode includes one or more of increasing the temperature of the third air conditioner 107, decreasing the frequency of the compressor of the third air conditioner 107, and decreasing the rotation speed of the fan of the third air conditioner 107, thereby greatly decreasing the power consumption of the third air conditioner 107.
An embodiment of the present invention further provides a server, including: the system includes at least one processor, a memory communicatively coupled to the at least one processor, and a computer program stored on the memory and executable on the processor.
The processor and memory may be connected by a bus or other means.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. It should be noted that the memory may alternatively comprise memory located remotely from the processor, and that such remote memory may be coupled to the processor via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
It should be noted that, in the server in this embodiment, by executing the control method of the air conditioners, the server may be applied to an air conditioner system including the server and a plurality of air conditioners, and by executing the control method of the air conditioners, the server achieves the purpose of integrally optimizing the power consumption of the air conditioner system by sending a control policy for jointly adjusting the operating states of the plurality of air conditioners to the plurality of air conditioners in the air conditioner system.
The non-transitory software programs and instructions required to implement the control method of the air conditioner of the above-described embodiment are stored in the memory, and when executed by the processor, the control method of the above-described embodiment is performed, for example, the method steps S110 to S130 in fig. 1, the method steps S210 to S220 in fig. 2, the method steps S310 to S320 in fig. 3, the method steps S410 to S420 in fig. 5, the method steps S510 to S520 in fig. 6, and the method steps S610 to S620 in fig. 7 described above are performed.
An embodiment of the present invention further provides an air conditioner, including: the system includes at least one processor, a memory communicatively coupled to the at least one processor, and a computer program stored on the memory and executable on the processor.
The processor and memory may be connected by a bus or other means.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. It should be noted that the memory may alternatively comprise memory located remotely from the processor, and that such remote memory may be coupled to the processor via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
It should be noted that, in the air conditioner in this embodiment, by executing the control method of the air conditioner, the air conditioner may be applied to an air conditioner system including a server and a plurality of air conditioners, and by executing the control method of the air conditioner, the air conditioner receives an optimization control policy from the server, and cooperates with other air conditioners in the air conditioner system to jointly adjust a working state, so as to achieve the purpose of integrally optimizing the power consumption of the air conditioner system.
Non-transitory software programs and instructions required to implement the control method of the air conditioner of the above embodiment are stored in the memory, and when executed by the processor, the control method of the above embodiment is performed, for example, the method steps S710 to S730 in fig. 8, the method steps S810 to S820 in fig. 9, the method steps S910 to S920 in fig. 10, and the method steps S1010 to S1020 in fig. 11 described above are performed.
The above described terminal embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may also be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Referring to fig. 12, an embodiment of the present invention further provides an air conditioner system, including the server according to any of the above embodiments and the air conditioner according to any of the above embodiments. The air conditioner respectively sends self operation information and environment information to a cloud end, the server receives the operation information and the environment information of a plurality of air conditioners from the cloud end, the air conditioners receive control strategies from the cloud end server, the air conditioners are matched with the rest air conditioners in the air conditioner system to jointly adjust the working state according to the control strategies, and the server achieves the purpose of integrally optimizing the power consumption of the air conditioner system by sending the control strategies for jointly adjusting the working states of the plurality of air conditioners to the plurality of air conditioners in the air conditioner system.
Referring to fig. 13, it should be noted that one of the air conditioners in the air conditioner system may also be set as a relay air conditioner, the other air conditioners in the air conditioner system send their own operation information and environment information to the relay air conditioner, the relay air conditioner sends the operation information and environment information of the multiple air conditioners to the cloud, the server receives the operation information and environment information of the multiple air conditioners from the cloud, sends the control policies of the multiple air conditioners from the cloud to the relay air conditioner, and the relay air conditioner sends the control policies of the air conditioners back to the air conditioners.
In addition, the embodiment of the invention also provides a computer readable storage medium, which stores computer executable instructions, the computer-executable instructions are executed by one or more control processors, e.g., by one of the processors in the above-described apparatus embodiments, the processor may be enabled to execute the method for storing the small files in the above embodiment, for example, execute the above-described method steps S110 to S130 in fig. 1, method steps S210 to S220 in fig. 2, method steps S310 to S320 in fig. 3, method steps S410 to S420 in fig. 5, method steps S510 to S520 in fig. 6, method steps S610 to S620 in fig. 7, method steps S710 to S730 in fig. 8, method steps S810 to S820 in fig. 9, method steps S910 to S920 in fig. 10, and method steps S1010 to S1020 in fig. 11.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
While the preferred embodiments of the present invention have been described in detail, it will be understood by those skilled in the art that the foregoing and various other changes, omissions and deviations in the form and detail thereof may be made without departing from the scope of this invention.
Claims (12)
1. The control method of the air conditioner is applied to the server in the air conditioner system comprising the server and a plurality of air conditioners, and is characterized by comprising the following steps:
respectively acquiring the operation information of a plurality of air conditioners and the environmental information of the plurality of air conditioners;
obtaining a control strategy according to the operation information and the environment information, wherein the control strategy is used for jointly adjusting the working states of the plurality of air conditioners;
and issuing the control strategy to the plurality of air conditioners so that the plurality of air conditioners jointly adjust the working state according to the control strategy.
2. The control method according to claim 1, wherein the operation information includes current power consumption information and operation parameters, and the deriving a control policy according to the operation information and the environment information includes:
inputting the current power consumption information and pre-stored historical power consumption information of the air conditioner into a pre-trained prediction model to obtain a power consumption prediction value;
and obtaining the control strategy according to the power consumption predicted value, the operation parameters and the environment information.
3. The control method of claim 2, wherein deriving a control strategy based on the power consumption prediction value, the operating parameter, and the environmental information comprises:
and inputting the power consumption predicted value, the operation parameters and the environment information into a pre-trained decision model to obtain the control strategy.
4. The control method according to any one of claims 1 to 3, wherein the control strategy includes control sub-strategies corresponding to a plurality of the air conditioners one to one, the control sub-strategies including at least one of increasing operation power consumption, reducing operation power consumption, and maintaining operation power consumption.
5. The control method of the air conditioner is applied to the air conditioner in an air conditioner system comprising a server and a plurality of air conditioners, and is characterized by comprising the following steps:
acquiring operation information and environmental information of the air conditioner;
sending the operation information and the environment information to the server, so that the server obtains a control strategy according to the operation information and the environment information, wherein the control strategy is used for jointly adjusting the working states of the plurality of air conditioners;
and receiving the control strategy issued by the server, and jointly adjusting the working state according to the control strategy and the cooperation of other air conditioners in the air conditioner system.
6. The control method according to claim 5, wherein the operation information includes current power consumption information and operation parameters, and the sending the operation information and the environment information to the server so that the server obtains a control policy according to the operation information and the environment information comprises:
and sending the current power consumption information, the operation parameters and the environment information to the server, so that the server obtains a control strategy according to the power consumption predicted value, the operation parameters and the environment information after inputting the current power consumption information and the pre-stored historical power consumption information of the air conditioner into a pre-trained prediction model to obtain a power consumption predicted value.
7. The control method according to claim 5, further comprising, after jointly adjusting the operating state in accordance with the control strategy in coordination with the remaining air conditioners in the air conditioner system:
and displaying the current energy consumption information.
8. The control method according to any one of claims 5 to 7, wherein the control strategy includes control sub-strategies corresponding to a plurality of the air conditioners one to one, the control sub-strategies including at least one of increasing operation power consumption, reducing operation power consumption, and maintaining operation power consumption.
9. A server comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the control method according to any one of claims 1 to 4 when executing the computer program.
10. An air conditioner comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the control method according to any one of claims 5 to 8 when executing the computer program.
11. An air conditioner system comprising the server according to claim 9 and an air conditioner according to claim 10.
12. A computer-readable storage medium storing computer-executable instructions for causing a computer to perform the control method according to any one of claims 1 to 4 or the control method according to any one of claims 5 to 8.
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