CN103234254A - Server-based method for optimizing performance parameters of air conditioner, air conditioner and server - Google Patents
Server-based method for optimizing performance parameters of air conditioner, air conditioner and server Download PDFInfo
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Abstract
The invention discloses a server-based method for optimizing performance parameters of an air conditioner, the air conditioner and a server. The method comprises that the server acquires identification information of the air conditioner and local environmental climate information; optimum values of performance parameters of the air conditioner are determined according to the identification information and the local environmental climate information; and the optimum values of the performance parameters are fed back to the air conditioner to enable the air conditioner to update corresponding set performance parameters into the optimum values of performance parameters. According to the server-based method for optimizing performance parameters of the air conditioner, the air conditioner and the server, performance parameters of the air conditioner are adjusted in real time according to environmental climate changes, and therefore, the air conditioner is guaranteed to be always in the optimum operating state.
Description
Technical field
The present invention relates to air-conditioning technical field, especially relate to a kind of heat pump performance parameters optimization method, air-conditioning and server based on server.
Background technology
Existing air-conditioning is to utilize kind of refrigeration cycle that temperature, the humidity in space are remained on proper state.Wherein, the kind of refrigeration cycle process comprises: the compression of cold-producing medium, condensation, expansion and evaporation process.And these kind of refrigeration cycle processes are realized by compressor, condenser, expansion valve and evaporimeter.Evaporimeter is arranged on indoor, is used for absorbing heat; Compressor is arranged on outdoor.Wherein, outdoor environment temperature and the variation meeting of ambient humidity directly influence refrigeration.Especially at (below-10 degree, or+more than 30 degree) under the condition of ultralow temperature or superhigh temperature, the refrigeration of air-conditioning or heat the obvious variation of efficiency.
Performance parameter in the existing air-conditioning can not be revised with the variation of environment simultaneously, therefore very easily causes the serious problems of frosting or power consumption when external environment changes greatly.
Summary of the invention
Main purpose of the present invention is to provide a kind of heat pump performance parameters optimization method, air-conditioning and server based on server, realizes variation and adjustment heat pump performance parameter according to amblent air temperature, makes air-conditioning be in optimal operational condition all the time.
The present invention proposes a kind of heat pump performance parameters optimization method based on server, comprising:
Server obtains identification information and the home environment climatic information of air-conditioning;
Determine the optimum value of the performance parameter of described air-conditioning according to described identification information and home environment climatic information;
The optimum value of described performance parameter is fed back to described air-conditioning, so that the performance parameter value of the correspondence that described air-conditioning arranges self is updated to the optimum value of described performance parameter.
Preferably, described identification information comprises the air-conditioning geographical location information;
The home environment climatic information that described server obtains air-conditioning is specially: described server obtains the home environment climatic information of air-conditioning according to the air-conditioning geographical location information in the identification information that obtains from network.
Preferably, server determines that according to described identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning is specially:
Server obtains initial built-in performance parameter and the optimizing performance parameters function curve of air-conditioning according to described identification information, and obtains the correction value of the initial built-in performance parameter correspondence of described air-conditioning according to optimizing performance parameters function curve and described home environment climatic information; And determine the optimum value of the performance parameter of air-conditioning according to the initial built-in performance parameter of described air-conditioning and corresponding correction value;
Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.
Preferably, the described server home environment climatic information that obtains air-conditioning is specially:
Server sends the home environment climatic information to air-conditioning and obtains instruction, so that described air-conditioning feeds back detected home environment climatic information.
Preferably, described server determines that according to identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning is specially:
Server obtains air-conditioning according to described identification information and optimizes the parametric function curve, and determines the optimum value of the performance parameter of air-conditioning according to home environment climatic information and optimization parametric function curve;
Described optimizing performance parameters function curve comprises: defrost performance parameter optimization function curve and/or electronic expansion valve opening majorized function curve; Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.
The present invention proposes a kind of server in addition, comprising:
Acquisition module is for the identification information and the home environment climatic information that obtain air-conditioning;
Determination module is used for determining according to described identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning;
Feedback module is used for the optimum value of described performance parameter is fed back to described air-conditioning, so that described air-conditioning is updated to the performance parameter value of the correspondence that self arranges the optimum value of described performance parameter.
Preferably, described identification information comprises the air-conditioning geographical location information;
Described acquisition module, concrete also for the air-conditioning geographical location information according to the identification information that obtains, from network, obtain the home environment climatic information of air-conditioning;
Described determination module, concrete initial built-in performance parameter and the optimizing performance parameters function curve that also is used for obtaining according to described identification information air-conditioning, and obtain the correction value of the initial built-in performance parameter correspondence of described air-conditioning according to optimizing performance parameters function curve and described home environment climatic information; And determine the optimum value of the performance parameter of air-conditioning according to the initial built-in performance parameter of described air-conditioning and corresponding correction value;
Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.。
Preferably, described acquisition module specifically also is used for sending the home environment climatic information to air-conditioning and obtains instruction, so that described air-conditioning feeds back detected home environment climatic information;
Described determination module specifically also is used for obtaining air-conditioning according to described identification information and optimizes the parametric function curve, and determines the optimum value of the performance parameter of air-conditioning according to home environment climatic information and optimization parametric function curve;
Described optimizing performance parameters function curve comprises: defrost performance parameter optimization function curve and/or electronic expansion valve opening majorized function curve; Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.
The present invention proposes a kind of air-conditioning in addition, comprising:
Receiver module is used for the optimum value of the performance parameter that reception server sends;
Update module, the performance parameter value that is used for the correspondence that will self arrange is updated to the optimum value of described performance parameter.
Preferably, described air-conditioning also comprises:
Detection module is for detection of the home environment climatic information;
Sending module is used for obtaining instruction according to the home environment climatic information that server sends, and sends detected home environment climatic information to server.
A kind of heat pump performance parameters optimization method, air-conditioning and server based on server provided by the present invention, server is according to the identification information of the air-conditioning that obtains and the optimum value that the home environment climatic information is determined the performance parameter of described air-conditioning; The optimum value of described performance parameter is fed back to described air-conditioning, so that the performance parameter value of the correspondence that described air-conditioning arranges self is updated to the mode of the optimum value of described performance parameter, realized adjusting the heat pump performance parameter in real time according to the variation of amblent air temperature, thereby guaranteed that air-conditioning is in optimal operational condition all the time.
Description of drawings
Fig. 1 is the flow chart of heat pump performance parameters optimization method one embodiment based on server of the present invention;
Fig. 2 is the structural representation of server one embodiment of the present invention;
Fig. 3 is the structural representation of another embodiment of server of the present invention;
Fig. 4 is the structural representation of the another embodiment of server of the present invention;
Fig. 5 is the structural representation of air-conditioning one embodiment of the present invention;
Fig. 6 is the structural representation of another embodiment of air-conditioning of the present invention;
Fig. 7 is the structural representation of the another embodiment of air-conditioning of the present invention;
Fig. 8 is the air-conditioning of the present invention structural representation of an embodiment again;
Fig. 9 is the structural representation of the system of the heat pump performance parameter optimization based on server of the present invention;
Figure 10 is the relation function curve map of optimizing performance parameters function curve hollow allocation and transportation line time of the present invention and local outdoor temperature;
Figure 11 is the relation function curve map of the local indoor temperature of air-conditioning and condensation temperature in the optimizing performance parameters function curve of the present invention;
Figure 12 is the relation function curve map of the local outdoor temperature of air-conditioning and condensation temperature in the optimizing performance parameters function curve of the present invention;
Figure 13 is the expansion valve of air-conditioning in the optimizing performance parameters function curve of the present invention and the matching relationship curve map of evaporimeter.
The realization of the object of the invention, functional characteristics and advantage will be in conjunction with the embodiments, are described further with reference to accompanying drawing.
The specific embodiment
Should be appreciated that specific embodiment described herein only in order to explaining the present invention, and be not used in restriction the present invention.
Referring to Fig. 1, a kind of heat pump performance parameters optimization method one embodiment based on server of the present invention is proposed, comprising:
Step S101, server obtain identification information and the home environment climatic information of air-conditioning.
Identification information described in this step comprises geographical location information and the type information of air-conditioning, and wherein said type information also can be air-conditioning serial number information.Described identification information can obtain by model (or air-conditioning serial number) and the geographical location information of filling in from user's register account number, also can obtain by other means.
In this step, the home environment climatic information that server obtains air-conditioning has dual mode, and wherein first kind of mode is: server obtains the home environment climatic information of air-conditioning according to the geographical location information in the described identification information from network.Be server according to the geographical location information of air-conditioning, obtain this geographical position at the data of weather forecast of following predetermined amount of time from network, wherein, the length of predetermined amount of time can be selected according to actual needs, as time half a day.The second way is: server sends the home environment climatic information to air-conditioning and obtains instruction, so that described air-conditioning feeds back detected home environment climatic information.Be the function that described air-conditioning self has real-time detection home environment climatic information, when the home environment climatic information that receives the server transmission obtains instruction, just feed back detected current home environment climatic information.
Step S102, determine the optimum value of the performance parameter of described air-conditioning according to described identification information and home environment climatic information.
In this step, server determines that according to described identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning has dual mode.Wherein first kind of mode is: server obtains initial built-in performance parameter and the optimizing performance parameters function curve of air-conditioning according to described identification information, and obtains the correction value of the initial built-in performance parameter correspondence of described air-conditioning according to optimizing performance parameters function curve and described home environment climatic information; And determine the optimum value of the performance parameter of air-conditioning according to the initial built-in performance parameter of described air-conditioning and corresponding correction value.Be server is at first searched corresponding air-conditioning according to the model (or serial number of air-conditioning) of air-conditioning in the described identification information initial built-in performance parameter and performance parameter function optimization curve.Then according to home environment climatic information corresponding relation and binding ability parameter optimization function curve of the local bad border climatic information of storage and the correction value of initial built-in performance parameter in advance in database, determine the correction value of the initial built-in performance parameter of described air-conditioning, then this correction value and corresponding initial built-in performance parameter value stack are namely obtained the optimum value of the performance parameter of air-conditioning, wherein can guarantee that by binding ability parameter optimization function curve air-conditioning can be in operation stably to the correction value of storage in advance further.
In the present embodiment, for the air-conditioning of every kind of model (or serial number) sets in advance corresponding initial built-in performance parameter and optimizing performance parameters function curve, and establish each model and corresponding initial built-in performance parameter and optimizing performance parameters function curve mapping relations one to one in the described data in server storehouse.Therefore server just can find initial built-in performance parameter and the optimizing performance parameters function curve of corresponding air-conditioning according to the model of air-conditioning in the identification information.
In this step, server determines that according to described identification information and home environment climatic information the second way that the optimum value of the performance parameter of described air-conditioning adopts is: server obtains air-conditioning according to described identification information and optimizes the parametric function curve, and determines the optimum value of the performance parameter of air-conditioning according to home environment climatic information and optimization parametric function curve.
Working as server in the present embodiment adopts the above-mentioned second way to determine the optimum value of the performance parameter of air-conditioning, then need the air-conditioning for each model (or serial number) that corresponding optimizing performance parameters function curve is set in the described server self database in advance, and the air-conditioning of setting up every kind of model and corresponding optimizing performance parameters function curve mapping relations one to one.Therefore the optimizing performance parameters function curve corresponding with this model be searched and be obtained to server can according to the model in the identification information that obtains.Be that server at first obtains corresponding optimizing performance parameters function curve according to the model in the identification information; According to described home environment climatic information, calculate the optimum value of the performance parameter of described air-conditioner by described optimizing performance parameters function curve then.
Wherein adopt for first kind of mode among the S101 is optimum that first kind of mode realizes among the S102; And second way realization among the optimum employing of the second way S102 among the S101.
Step S103, the optimum value of described performance parameter is fed back to described air-conditioning, so that described air-conditioning is updated to the performance parameter value of the correspondence that self arranges the optimum value of described performance parameter.
Further, among the above-mentioned heat pump performance parameters optimization method embodiment based on server, what adopt as step S101 is that above-mentioned first kind of mode obtained the home environment climatic information, and then described home environment climatic information comprises: local outdoor temperature; Described optimizing performance parameters function curve comprises: defrost performance parameter optimization function curve and/or electronic expansion valve opening majorized function curve; Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.Wherein, defrost performance parameter optimization function curve comprises: the function curve of preceding running time of defrosting shown in Figure 10 and outdoor temperature, outdoor temperature shown in Figure 12 and the function curve of condensation temperature.Electronic expansion valve opening majorized function curve comprises: different electronic expansion valve openings and COP(Energy Efficiency Ratio: function curve Coefficient Of Performance); Expansion valve shown in Figure 13 and evaporimeter matching relationship curve.Described defrost performance parameter comprises: defrosting cycle, defrosting enter temperature, defrosting is withdrawed from temperature, defrosted post-set time.
Further, among the above-mentioned heat pump performance parameters optimization method embodiment based on server, what adopt as step S101 is that the above-mentioned second way is obtained the home environment climatic information, and then described home environment climatic information comprises: local outdoor temperature, local indoor temperature, local indoor coil pipe, local outdoor coil pipe used temperature, compressor return air temperature; Described optimizing performance parameters function curve comprises: defrost performance parameter optimization function curve and/or electronic expansion valve opening majorized function curve; Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.Wherein, defrost performance parameter optimization function curve comprises: the function curve of the function curve of preceding running time of defrosting shown in Figure 10 and outdoor temperature, indoor temperature shown in Figure 11 and condensation temperature, outdoor temperature shown in Figure 12 and the function curve of condensation temperature.Electronic expansion valve opening majorized function curve comprises: the function curve of different electronic expansion valve openings and COP; The matching relationship curve of expansion valve shown in Figure 13 and evaporimeter.Described defrost performance parameter comprises: defrosting cycle, defrosting enter temperature, defrosting is withdrawed from temperature, defrosted post-set time.
Further, among the above-mentioned heat pump performance parameters optimization method embodiment based on server, described identification information also carries air-conditioned current time dot information.Described server also comprises after getting access to described identification information: server judges whether the current point in time of described air-conditioning is synchronous with the current point in time of self; If asynchronous, then to described air-conditioning feedback time control information so that the air-conditioning correction time guarantee the time of described air-conditioning and the time synchronized of self.
Further, among the above-mentioned heat pump performance parameters optimization method embodiment based on server, server feeds back to the optimum value of performance parameter and also comprises following processing after the air-conditioning: server judges whether the optimum value of described performance parameter is in self default performance parameter secure threshold scope; If not, then to air-conditioning feedback warning message, so that air-conditioning is cancelled the renewal operation of corresponding performance parameter.
The above heat pump performance parameters optimization method embodiment based on server that provides, server is according to the identification information of the air-conditioning that obtains and the optimum value that the home environment climatic information is determined the performance parameter of described air-conditioning; The optimum value of described performance parameter is fed back to described air-conditioning, so that the performance parameter value of the correspondence that described air-conditioning arranges self is updated to the mode of the optimum value of described performance parameter, realized adjusting the heat pump performance parameter in real time according to the variation of amblent air temperature, thereby guaranteed that air-conditioning is in optimal operational condition all the time.
Referring to Fig. 2, the present invention proposes a kind of server 100 1 embodiment in addition, comprising: acquisition module 110, determination module 120 and feedback module 130.Wherein, described acquisition module 110 is for the identification information and the home environment climatic information that obtain air-conditioning.Described determination module 120 is used for determining according to described identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning.Described feedback module 130 is used for the optimum value of described performance parameter is fed back to described air-conditioning, so that described air-conditioning is updated to the performance parameter value of the correspondence that self arranges the optimum value of described performance parameter.
In the present embodiment, described identification information comprises geographical location information and the type information of air-conditioning, and wherein said type information also can be air-conditioning serial number information.Described identification information can obtain by model (or air-conditioning serial number) and the geographical location information of filling in from user's register account number, also can obtain by other means.
Further, among above-mentioned server 100 embodiment, above-mentioned acquisition module 110 obtains the home environment climatic information can dual mode, and first kind of mode is to obtain from network, and the second way is to obtain from air-conditioning.When taking first kind of mode, then described acquisition module 110 is concrete also for the air-conditioning geographical location information according to the identification information that obtains, and obtains the home environment climatic information of air-conditioning from network.Be described acquisition module 110 according to the geographical location information of air-conditioning, obtain this geographical position at the data of weather forecast of following predetermined amount of time from network.Wherein, the length of predetermined amount of time can be selected according to actual needs, as time half a day.When adopting the second way, then described acquisition module 110 specifically also is used for sending the home environment climatic information to air-conditioning and obtains instruction, so that described air-conditioning feeds back detected home environment climatic information.Be the function that described air-conditioning self has real-time detection home environment climatic information, the home environment climatic information that sends when 100 the acquisition module 110 that receives server obtains instruction, just feeds back detected current home environment climatic information.
Further, among above-mentioned server 100 embodiment, described determination module 120 determines that according to described identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning has dual mode.Wherein first kind of mode is: described determination module 120 obtains initial built-in performance parameter and the optimizing performance parameters function curve of air-conditioning according to described identification information, and obtains the correction value of the initial built-in performance parameter correspondence of described air-conditioning according to optimizing performance parameters function curve and described home environment climatic information; And determine the optimum value of the performance parameter of air-conditioning according to the initial built-in performance parameter of described air-conditioning and corresponding correction value.Be determination module 120 is at first searched corresponding air-conditioning according to the model (or serial number of air-conditioning) of air-conditioning in the described identification information initial built-in performance parameter and optimizing performance parameters function curve.Then according to home environment climatic information corresponding relation and binding ability parameter optimization function curve of the local bad border climatic information of storage and the correction value of initial built-in performance parameter in advance in database, determine the correction value of the initial built-in performance parameter of described air-conditioning, then this correction value and corresponding initial built-in performance parameter value stack are namely obtained the optimum value of the performance parameter of air-conditioning, wherein can guarantee that by binding ability parameter optimization function curve air-conditioning can be in operation stably to the correction value of storage in advance further.
In the present embodiment, for the air-conditioning of every kind of model (or serial number) sets in advance corresponding initial built-in performance parameter and optimizing performance parameters function curve, and establish each model and corresponding initial built-in performance parameter and optimizing performance parameters function curve mapping relations one to one in the described data in server storehouse.Described determination module 120 just can find initial built-in performance parameter and the optimizing performance parameters function curve of corresponding air-conditioning according to the model of air-conditioning in the identification information.
Described determination module 120 determines that according to described identification information and home environment climatic information the second way that the optimum value of the performance parameter of described air-conditioning adopts is: obtain air-conditioning according to described identification information and optimize the parametric function curve, and determine the optimum value of the performance parameter of air-conditioning according to home environment climatic information and optimization parametric function curve.
When above-mentioned determination module 120 adopts the above-mentioned second way to determine the optimum value of the performance parameter of air-conditioning, then need in described server 100 self database in advance for the air-conditioning of each model (or serial number) arranges corresponding optimizing performance parameters function curve, and the air-conditioning of setting up every kind of model (or serial number) and corresponding optimizing performance parameters function curve mapping relations one to one.Therefore server 100 really cover half piece 130 can search and obtain the optimizing performance parameters function curve corresponding with this model according to the model in the identification information that obtains.Be that described determination module 120 at first obtains corresponding optimizing performance parameters function curve according to the model in the identification information; According to described home environment climatic information, calculate the optimum value of the performance parameter of described air-conditioner by described optimizing performance parameters function curve then.
Wherein adopt above-mentioned first kind of mode to obtain the home environment climatic information of air-conditioning for acquisition module 110, then for confirming the module 120 optimum optimum values that adopt above-mentioned first kind of mode to realize the performance parameter of definite air-conditioning.And adopt the above-mentioned second way to obtain the home environment climatic information of air-conditioning for acquisition module 110, then confirm the module 120 optimum optimum values that adopt the above-mentioned second way to realize the performance parameter of definite air-conditioning.
Further, among above-mentioned server 100 embodiment, obtain the home environment climatic information when the above-mentioned first kind of mode of described acquisition module 110 employings, then described home environment climatic information comprises: local outdoor temperature; Described optimizing performance parameters function curve comprises: defrost performance parameter optimization function curve and/or electronic expansion valve opening majorized function curve; Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.Wherein, defrost performance parameter optimization function curve comprises: the function curve of preceding running time of defrosting shown in Figure 10 and outdoor temperature, outdoor temperature shown in Figure 12 and the function curve of condensation temperature.Electronic expansion valve opening majorized function curve comprises: different electronic expansion valve openings and COP(Energy Efficiency Ratio: function curve Coefficient Of Performance); Expansion valve shown in Figure 13 and evaporimeter matching relationship curve.Described defrost performance parameter comprises: defrosting cycle, defrosting enter temperature, defrosting is withdrawed from temperature, defrosted post-set time.
Further, among above-mentioned server 100 embodiment, obtain the home environment climatic information when the above-mentioned second way of described acquisition module 110 employings, then described home environment climatic information comprises: local outdoor temperature, local indoor temperature, local indoor coil pipe, local outdoor coil pipe used temperature, compressor return air temperature; Described optimizing performance parameters function curve comprises: optimizing performance parameters function curve and/or electronic expansion valve opening majorized function curve; Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.Wherein, defrost performance parameter optimization function curve comprises: the function curve of the function curve of preceding running time of defrosting shown in Figure 10 and outdoor temperature, indoor temperature shown in Figure 11 and condensation temperature, outdoor temperature shown in Figure 12 and the function curve of condensation temperature.Electronic expansion valve opening majorized function curve comprises: the function curve of different electronic expansion valve openings and COP and time; The matching relationship curve of expansion valve shown in Figure 13 and evaporimeter.Described defrost performance parameter comprises: defrosting cycle, defrosting enter temperature, defrosting is withdrawed from temperature, defrosted post-set time.
Further, among above-mentioned server 100 embodiment, described identification information also carries air-conditioned current time dot information.Referring to Fig. 3, described server 100 also comprises; Proofread and correct control module 140.Described correction control module 140 is used for judging whether the current point in time of described air-conditioning is synchronous with the current point in time of self; If asynchronous, then to described air-conditioning feedback time control information, so that air-conditioning correction time guarantee the time of described air-conditioning and the time synchronized of self.
Further, referring to Fig. 4, above-mentioned server 100 embodiment also comprise: alarm module 150.Described alarm module 150 is used for judging whether the optimum value of described performance parameter is in the performance parameter secure threshold scope of self presetting; If not, then to air-conditioning feeder alert information, so that air-conditioning is cancelled the renewal operation of corresponding performance parameter.
The above server that provides 100 embodiment, server 100 is according to the identification information of the air-conditioning that obtains and the optimum value that the home environment climatic information is determined the performance parameter of described air-conditioning; The optimum value of described performance parameter is fed back to described air-conditioning, so that the performance parameter value of the correspondence that described air-conditioning arranges self is updated to the mode of the optimum value of described performance parameter, realized adjusting the heat pump performance parameter in real time according to the variation of amblent air temperature, thereby guaranteed that air-conditioning is in optimal operational condition all the time
Referring to Fig. 5, the present invention proposes a kind of air-conditioning 200 1 embodiment in addition, and it comprises: receiver module 210 and update module 220.Wherein, described receiver module 210 is used for the optimum value of the performance parameter that reception server 100 sends.Described update module 220, the performance parameter value that is used for the correspondence that will self arrange is updated to the optimum value of described performance parameter.
In the present embodiment, self be provided with various performance parameters as defrost performance parameter and/or electronic expansion valve opening.Wherein, described defrost performance parameter comprises: defrosting cycle, defrosting enter temperature, defrosting is withdrawed from temperature, defrosted post-set time etc.The home environment weather of air-conditioning 200 usually changes, and when the home environment weather of air-conditioning 200 changes, and the various performance parameters of air-conditioning 200 remain unchanged, and may cause the refrigeration of air-conditioning or heat the usefulness variation.
In the present embodiment, owing to set in advance the initial built-in performance parameter of correspondence in the database of the described server 100 of above-mentioned Fig. 2-4 for the air-conditioning 200 of every kind of model (or serial number), and establish each model and corresponding initial built-in performance parameter mapping relations one to one.The optimizing performance parameters function curve of correspondence is set for the air-conditioning 200 of each model (or serial number) simultaneously in advance, and the air-conditioning 200 of setting up every kind of model (or serial number) and corresponding optimizing performance parameters function curve mapping relations one to one.When the home environment weather of air-conditioning 200 changes, server 100 obtains identification information and the home environment climatic information of air-conditioning 200, obtain air-conditioning according to described identification information and optimize the parametric function curve, and according to the home environment climatic information with optimize the mode of optimum value that the parametric function curve is determined the performance parameter of air-conditioning, make the performance parameter value of the correspondence that air-conditioning 200 arranges self be updated to the optimum value of described performance parameter, thereby realized adjusting in real time according to the variation of amblent air temperature the performance parameter of air-conditioning 200, guaranteed that air-conditioning 200 is in optimal operational condition all the time, the efficiency ratio height has been saved a large amount of energy.
Further, referring to Fig. 6, among above-mentioned air-conditioning 200 embodiment, described air-conditioning 200 also comprises: detection module 230 and sending module 240.Wherein said detection module 230 is used for obtaining instruction according to the home environment climatic information that server 100 sends, and detects the home environment weather.Described sending module 240 is used for sending detected home environment climatic information to server 100.Wherein, the home environment climatic information described in the present embodiment comprises: local outdoor temperature, local indoor temperature, local indoor coil pipe, local outdoor coil pipe used temperature.
Further, among above-mentioned air-conditioning 200 embodiment, described receiver module 210 also is used for the time adjustment information that reception server 100 feeds back.Referring to Fig. 7, described air-conditioning 200 also comprises: correction module 250.Wherein, described correction module 250 is used for according to described time adjustment information, proofreaies and correct the time of self, makes the time of self and the time synchronized of server 100.
Further, among above-mentioned air-conditioning 200 embodiment, described receiver module 210 also is used for the warning information that reception server 100 feeds back.Referring to Fig. 8, described air-conditioning 200 also comprises: cancel module 260.Wherein, the described module 260 of cancelling is used for according to described warning information, cancels the renewal operation of corresponding performance parameter.
The above air-conditioning that provides 200 embodiment, the optimum value of each performance parameter by reception server 100 feedback, and the currency of each performance parameter that self is arranged is updated to the mode of optimum value of each performance parameter of the correspondence of server 100 feedbacks, realized adjusting each performance parameter in the air-conditioning 200 according to the variation of amblent air temperature, thereby guaranteed that air-conditioning 200 is in optimal operational condition all the time.
Below with a concrete system embodiment to air-conditioning of the present invention, server, be described in detail based on the heat pump performance parameters optimization method of server.
The present invention proposes a kind of system embodiment of the heat pump performance parameter optimization based on server, referring to Fig. 9, described system comprises: the air-conditioning 200 shown at least one Fig. 4-8, the server 100 shown in Fig. 2-4, described air-conditioning 200 passes through network connection with server 100.The concrete operation principle of wherein said system is not repeated at this as described in above-mentioned air-conditioner and the server.
More than air-conditioning 200 among all embodiment be provided with adjustable performance parameter.Wherein, described performance parameter comprises defrost performance parameter and electronic expansion valve opening.In conjunction with Fig. 1-13, following concrete example is to air-conditioning provided by the present invention, server, be described in detail based on the heat pump performance parameters optimization method of server.
Be provided with the condition that enters defrosting in the air-conditioning 200, specific as follows:
After A, air-conditioning 200 move T1 minute (performance parameter T1 adjustable extent is 30 to 90 minutes) continuously, be that Tp1(performance parameter Tp1 adjustable extent is-30 ℃ to 0 ℃ when detecting outdoor coil pipe used temperature), then enter defrost state.
B, break down when detecting outdoor coil pipe used temperature Tp 1(detection module) time, then periodically defrosting, be that T2(performance parameter T2 adjustable extent is 1 to 12 minute cycle time), defrosting time is that T3(parameter T3 adjustable extent is 1 to 12 minute).
Be provided with the condition that withdraws from defrosting in the air-conditioning 200, specific as follows:
A, when outdoor coil pipe used temperature be that Tp2(performance parameter Tp2 adjustable extent is 2 ℃-30 ℃), perhaps defrosting time to reach T4(performance parameter T4 air-conditioning scope be 1-12 minute), then withdraw from defrosting.
Each defrosting parameter in the above-mentioned air-conditioning 200 specifically is to adjust according to the optimum value of each defrost performance parameter of server 100 feedbacks, and the occurrence that is about to automatic each defrost performance parameter that arranges is updated to each defrost performance parameter best value of the correspondence of server 100 feedbacks.
In order to give the optimum value of each current performance parameter of each air-conditioning 200 feedback, server 100 need be safeguarded a plurality of optimizing performance parameters functions that each air-conditioning 200 correspondence is arranged in self database.And determine the correction value of each performance parameter that corresponding air-conditioning needs are adjusted according to the home environment climatic information that gets access to each air-conditioning 200 and corresponding optimizing performance parameters function.And each optimizing performance parameters function curve that safeguard in server 100 its data storehouses forms by the foundation of many groups experimental data.As the first kind of mode of adjustment for the defrost performance parameter be: by the air-conditioning 200 home environment climatic informations that obtain, search then and be stored in server 100 home environment climatic informations and correction value Δ t mapping table in advance, determine correction value Δ t, also can further revise correction value in conjunction with the optimizing performance parameters function curve of air-conditioning simultaneously, and final correction value is added in the initial built-in performance parameter of air-conditioning, thereby obtains the optimum value of defrost performance parameter and feed back to air-conditioning 200.The second way is: server 100 obtains local indoor temperature, local outdoor temperature, local indoor coil pipe and local outdoor coil pipe used temperature, the compressor return air temperature of air-conditioning 200 feedbacks; Determine revised defrosting preceding running time (being defrosting cycle) according to the function curve (referring to Figure 11) of running time and outdoor temperature before the defrosting again; Comprehensively revise condensation temperature [i.e. Tp in the following formula] according to the function curve of outdoor temperature, indoor temperature and condensation temperature then, and also prestore Function Y t=Tp+K Δ T------(1 on the server), K is a constant;
Wherein Yt representative defrosting enters temperature;
Outdoor coil pipe used temperature when the Tp representative enters the defrosting temperature;
Temperature is revised in K Δ T representative.
Wherein, Δ T=Δ Tf+(Toeff-Tonow)+Δ Td+ Δ Tw+ Δ Tz------(2);
To=Tp1-Tr--------（3）；
Δ Tf represents the indoor temperature difference that the blower fan wind speed changes front and back;
Tp1 represents indoor coil pipe;
Tr represents indoor temperature;
Toeff represents the virtual value of the stable back of unit To;
Tonow represents the virtual value of current To;
Δ Td represents the temperature gap that the front and back indoor coil is opened in electrical heating;
Δ Tw represents defrosting outdoor temperature constantly and reads Toeff value outdoor temperature difference constantly;
Δ Tz represents the indoor coil temperature difference before and after blower fan and the heating unloading.
In this second way, calculate Δ T and Yt according to above-mentioned formula, simultaneously for defrosting withdraw from temperature, defrosting post-set time can according to be stored in advance home environment climatic information and defrosting on the server 100 withdraw from temperature, defrosting post-set time corresponding correction value to initial defrosting withdraw from temperature, defrosting is revised post-set time, thereby temperature and time are withdrawed from the defrosting of determining the best.Then the currency of Yt is entered as defrosting that temperature optimum value, defrosting entry time, defrosting withdraw from temperature, defrosting feeds back to corresponding air-conditioning 200 post-set time, 200 defrost performance parameter values with self of air-conditioning are updated to the optimum value of described defrost performance parameter.
The database of server 100 is also safeguarded the function curve of the relation of running time of each air-conditioning 200 and outdoor temperature in addition, referring to Figure 10; The local indoor temperature of each air-conditioning 200 and the relation function curve of condensation temperature, referring to Figure 11, R described in this function
2Represent heat transfer coefficient, i.e. every square metre heat output is per hour passed through in expression.The local outdoor temperature of each air-conditioning 200 and the relation function curve of condensation temperature are referring to Figure 12.
For example: when outside air temperature is lower than-5 °～3 °, and relative humidity was greater than 50% o'clock, fin coil pipe frosting situation is the most serious, this moment, server 100 was according to the home environment climatic information of air-conditioning 200 and the optimizing performance parameters function of this air-conditioning 200 correspondences, determining to draw defrosting enters temperature and should increase that 1-2 °, defrosting cycle should increase 2-3 minute, the blower fan wind speed should add one grade, should start electrical heating, can make air-conditioning 200 be in optimum state.
When outside air temperature is lower than-5 °～3 °, and relative humidity is not more than at 50% o'clock, this moment, server 100 was according to the home environment climatic information of air-conditioning 200 and the optimizing performance parameters function of this air-conditioning 200 correspondences, determining to draw defrosting enters temperature and should increase 1-2 °, defrosting cycle and should increase 1-2 minute, other parameters remain unchanged, and can make air-conditioning 200 be in optimum state.
When outside air temperature hangs down as-20 °, when dry, this moment, server 100 was according to the home environment climatic information of air-conditioning 200 and the optimizing performance parameters function of this air-conditioning 200 correspondences, calculating keeps defrosting enters temperature, the blower fan wind speed is constant, defrosting cycle should increase 2-3 minute, should start electrical heating, can make air-conditioning 200 be in optimum state.
Be provided with the electric expansion valve parameter in the air-conditioning 200:
Wherein, described electric expansion valve parameter comprises: electronic expansion valve opening P (parameter P adjustable extent is x-x); Electric expansion valve period T actuation time 5 (performance parameter T5 adjustable extent is 10-50 second); Target degree of superheat TSH(performance parameter TSH adjustable extent is the 0-12 degree).
Electronic expansion valve opening P described in the air-conditioning 200, electric expansion valve period T actuation time 5, target degree of superheat TSH adjust according to the best opening value of the electric expansion valve of server 100 feedbacks, electronic expansion valve events Best Times periodic quantity, target super heat value.The electronic expansion valve opening value that is about to arrange automatically is updated to the best opening value of electric expansion valve of server feedback, electric expansion valve periodic quantity actuation time is updated to the electronic expansion valve events Best Times periodic quantity of server feedback; The target super heat value is updated to the best super heat value of target of server feedback.
In order to give each air-conditioning 200 feedback the current best opening value of electric expansion valve, first kind of mode is initial performance parameter value such as the initial opening value of the corresponding expansion valve of server 100 model (or serial number) of storing each air-conditioning in advance, cycle actuation time etc. and expansion valve performance parameter function optimization curve, and be preset with the correction value of the expansion valve initial performance parameter value correspondence of different home environment climatic information correspondences, according to the correction value of home environment information acquisition expansion valve initial performance parameter correspondence and in conjunction with expansion valve performance parameter function optimization curve, determine the optimum value of expansion valve initial performance parameter; Mode is that server 100 is safeguarded electronic expansion valve opening majorized function, the electronic expansion valve events Best Times cycle majorized function that each air-conditioning 200 correspondence is arranged in self database in second.
The formula of the electronic expansion valve opening optimization of wherein, safeguarding in the server 100 is as follows:
SH=TS–Tp2------（6）；
Wherein, P represents the actual aperture of electric expansion valve;
P
JustRepresent the electric expansion valve initial opening;
Represent the electronic expansion valve opening variable quantity;
K
PRepresent coefficient;
SH
On averageRepresent the mean value of the actual degree of superheat in the 30s, every 5s sampling once;
TSH represents the target degree of superheat;
SH represents the degree of superheat;
TS represents the compressor return air temperature;
The outer coil temperature of Tp2 agent's room.
At formula
In;
Work as SH
On average＜=-1 K
P=3;
As-1＜SH
On average＜=0, K then
P=2;
Work as SH
On average0, K then
P=1.
By above-mentioned formula (4), (5), (6) as can be known, environment temperature is more high, and the cold-producing medium temperature of evaporator outlet increases, and is in optimum state if guarantee Energy Efficiency Ratio COP, then must reduce electronic expansion valve opening, reduces refrigerant flow.
In addition, server 100 is set up Energy Efficiency Ratio (COP) change curve [not shown] under system stability curve such as the different opening according to the experimental data of electronic expansion valve opening; Matching relationship curve referring to expansion valve shown in Figure 13 and evaporimeter.Server 100 with these profile memory in self database.The home environment information of the air-conditioning that server 100 obtains, and by in advance the storage the home environment climatic information and the corresponding relation of target degree of superheat TSH correction value determine target degree of superheat TSH correction value, among the target degree of superheat TSH in the initial built-in performance parameter of air-conditioning 200 of then this correction value being added to, namely obtain the optimum value of target degree of superheat TSH; While is according to the optimization curve revise goal degree of superheat [being TSH] of Figure 13, the relation between TSH and the Q that makes is in the minimum stabilization signal of MSS(of evaporimeter: Minimum stable signal) near the curve, draw the best opening value of electric expansion valve of air-conditioning 200 then by above-mentioned formula (4), (5), (6), feed back to then in the corresponding air-conditioning 200.200 in air-conditioning is updated to the best opening value of described electric expansion valve with the electronic expansion valve opening value that self arranges, thereby can guarantee that air-conditioning 200 is in optimum state.Simultaneously also can be by the correction value of home environment climatic information and electric expansion valve period T actuation time 5 correction value corresponding relation electron gain expansion valve period of time T 5, the initiating electron expansion valve of air-conditioning of then this correction value being added to obtains the period T 5 actuation time of electric expansion valve the best on cycle actuation time, and should actuation time periodic feedback to air-conditioning 200,200 electric expansion valve cycles actuation time with self of air-conditioning are upgraded this best period T actuation time 5.In order to ensure the COP of the best, also can determine best electronic expansion valve opening P according to COP then at the corresponding relation of storing in advance on the server 100 between COP and the electronic expansion valve opening P, and then obtain the electronic expansion valve opening under the optimum COP.
Below be two instantiations of adjusting electronic expansion valve opening.
Example 1, according to passing through above-mentioned formula (4), (5), (6) and above-mentioned a plurality of curve, air-conditioning is along with increase, the evaporator outlet temperature of working time increase too many as can be known, cause the COP downward trend, this moment is in order to keep stable COP, must reduce the aperture of expansion valve, reduce refrigerant flow.Because
Therefore can realize regulating electronic expansion valve opening according to environment temperature correction TSH.As when environment temperature is higher, it is too many easily to cause evaporator outlet temperature to increase, and in order to keep stable COP, as increasing 1-2 ° of target super heat value, reduces electronic expansion valve opening variable quantity P to reach.In different environment temperatures, the correction value that the target degree of superheat is set is also different simultaneously.
Example 2, according to passing through above-mentioned formula (4), (5), (6) and above-mentioned a plurality of curve, condenser temperature is elevated to a certain degree, the pressure meeting fluctuation ratio of air-conditioning is bigger, steady for the pressure that makes air-conditioning, palpus increases the aperture of electric expansion valve, to realize increasing evaporator outlet temperature.When higher as environment temperature, condenser temperature is elevated to a certain degree, according to the system stability linearity curve, in order to guarantee the stability of air-conditioning, should reduce 1-2 ° of target super heat value, increases electronic expansion valve opening P to reach.In different environment temperatures, it is also different that target degree of superheat correction value is set.
Should be understood that; below only be the preferred embodiments of the present invention; can not therefore limit claim of the present invention; every equivalent structure or equivalent flow process conversion that utilizes specification of the present invention and accompanying drawing content to do; or directly or indirectly be used in other relevant technical fields, all in like manner be included in the scope of patent protection of the present invention.
Claims (10)
1. the heat pump performance parameters optimization method based on server is characterized in that, comprising:
Server obtains identification information and the home environment climatic information of air-conditioning;
Determine the optimum value of the performance parameter of described air-conditioning according to described identification information and home environment climatic information;
The optimum value of described performance parameter is fed back to described air-conditioning, so that the performance parameter value of the correspondence that described air-conditioning arranges self is updated to the optimum value of described performance parameter.
2. heat pump performance parameters optimization method according to claim 1 is characterized in that, described identification information comprises the air-conditioning geographical location information;
The home environment climatic information that described server obtains air-conditioning is specially: described server obtains the home environment climatic information of air-conditioning according to the air-conditioning geographical location information in the identification information that obtains from network.
3. heat pump performance parameters optimization method according to claim 2 is characterized in that, server determines that according to described identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning is specially:
Server obtains initial built-in performance parameter and the optimizing performance parameters function curve of air-conditioning according to described identification information, and obtains the correction value of the initial built-in performance parameter correspondence of described air-conditioning according to optimizing performance parameters function curve and described home environment climatic information; And determine the optimum value of the performance parameter of air-conditioning according to the initial built-in performance parameter of described air-conditioning and corresponding correction value;
Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.
4. heat pump performance parameters optimization method according to claim 1 is characterized in that, the home environment climatic information that described server obtains air-conditioning is specially:
Server sends the home environment climatic information to air-conditioning and obtains instruction, so that described air-conditioning feeds back detected home environment climatic information.
5. heat pump performance parameters optimization method according to claim 4 is characterized in that, server determines that according to identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning is specially:
Server obtains air-conditioning according to described identification information and optimizes the parametric function curve, and determines the optimum value of the performance parameter of air-conditioning according to home environment climatic information and optimization parametric function curve;
Described optimizing performance parameters function curve comprises: defrost performance parameter optimization function curve and/or electronic expansion valve opening majorized function curve; Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.
6. a server is characterized in that, comprising:
Acquisition module is for the identification information and the home environment climatic information that obtain air-conditioning;
Determination module is used for determining according to described identification information and home environment climatic information the optimum value of the performance parameter of described air-conditioning;
Feedback module is used for the optimum value of described performance parameter is fed back to described air-conditioning, so that described air-conditioning is updated to the performance parameter value of the correspondence that self arranges the optimum value of described performance parameter.
7. server according to claim 6 is characterized in that,
Described identification information comprises the air-conditioning geographical location information;
Described acquisition module, concrete also for the air-conditioning geographical location information according to the identification information that obtains, from network, obtain the home environment climatic information of air-conditioning;
Described determination module, concrete initial built-in performance parameter and the optimizing performance parameters function curve that also is used for obtaining according to described identification information air-conditioning, and obtain the correction value of the initial built-in performance parameter correspondence of described air-conditioning according to optimizing performance parameters function curve and described home environment climatic information; And determine the optimum value of the performance parameter of air-conditioning according to the initial built-in performance parameter of described air-conditioning and corresponding correction value;
Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.
8. server according to claim 6 is characterized in that,
Described acquisition module specifically also is used for sending the home environment climatic information to air-conditioning and obtains instruction, so that described air-conditioning feeds back detected home environment climatic information;
Described determination module specifically also is used for obtaining air-conditioning according to described identification information and optimizes the parametric function curve, and determines the optimum value of the performance parameter of air-conditioning according to home environment climatic information and optimization parametric function curve;
Described optimizing performance parameters function curve comprises: defrost performance parameter optimization function curve and/or electronic expansion valve opening majorized function curve; Described performance parameter comprises: defrost performance parameter and/or electronic expansion valve opening.
9. an air-conditioning is characterized in that, comprising:
Receiver module is used for the optimum value of the performance parameter that reception server sends;
Update module, the performance parameter value that is used for the correspondence that will self arrange is updated to the optimum value of described performance parameter.
10. air-conditioning according to claim 9 is characterized in that, also comprises:
Detection module is for detection of the home environment climatic information;
Sending module is used for obtaining instruction according to the home environment climatic information that server sends, and sends detected home environment climatic information to server.
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