CN202648064U - Control system for air conditioning system and air conditioner - Google Patents
Control system for air conditioning system and air conditioner Download PDFInfo
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- CN202648064U CN202648064U CN 201220339083 CN201220339083U CN202648064U CN 202648064 U CN202648064 U CN 202648064U CN 201220339083 CN201220339083 CN 201220339083 CN 201220339083 U CN201220339083 U CN 201220339083U CN 202648064 U CN202648064 U CN 202648064U
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Abstract
The utility model discloses a control system for an air conditioning system and an air conditioner. The system comprises an air conditioning system and a control system, wherein the control system is connected with the air conditioning system and comprises a first processor, a first calculator, a comparator and a sending device, wherein the first processor is used for matching each operating parameter in the system to acquire one or more regulation and control schemes corresponding to each operating parameter; the firs calculator is used for calculating each regulation and control scheme to acquire the corresponding average energy efficiency ratio of the air condition system; the comparator is used for searching for the highest average energy efficiency ratio from the average energy efficiency ratios to acquire the first regulation and control scheme corresponding to the highest average energy efficiency ratio; and the sending device is used for sending a regulation and control command to the air conditioning system according to the first regulation and control scheme to control the air conditioning system. Through the control system for the air conditioning system, the technical problem of relatively low overall energy efficiency of the air conditioning system in the prior art is solved, and the effect of improving the overall energy efficiency ratio of the air conditioning system is realized.
Description
Technical Field
The utility model relates to a control field particularly, relates to an air conditioning system's control system and air conditioner.
Background
At present, the intelligent control level of a central air-conditioning system is low, and particularly in the field of combined ground source heat pumps, due to the fact that switching and unified management among multiple systems and multiple devices are involved, higher requirements are put forward on intelligent control. However, most of the existing control methods for air conditioning systems are a differential pressure control method, a temperature control method, a flow control method, a load control method, and the like, and these control methods are generally individually optimized or controlled for local operating parameters of a subsystem or a system, so as to achieve higher energy efficiency control of the subsystem or the local system.
Aiming at the technical problem that the overall energy efficiency of the air conditioning system is low due to the fact that the control method of the air conditioning system in the prior art cannot be reasonably adjusted from the whole, an effective solution is not provided at present.
SUMMERY OF THE UTILITY MODEL
Aiming at the technical problem that the overall energy efficiency of the air conditioning system is low due to the fact that the control method of the air conditioning system in the related art cannot be reasonably adjusted from the whole, an effective solution is not provided. Therefore, an object of the present invention is to provide a control system and a controller for an air conditioning system to solve the above problems.
In order to achieve the above object, according to one aspect of the present invention, there is provided a control system of an air conditioning system. The system comprises: an air conditioning system that transmits the operation parameters; the control system is connected with the air conditioning system and used for obtaining the operating parameters of the air conditioning system, wherein the control system comprises: the first processor is used for carrying out matching processing in the system according to each operation parameter so as to obtain one or more regulation and control schemes corresponding to each operation parameter; the first calculator is used for respectively carrying out operation processing on each regulation and control scheme so as to obtain the average energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme; the comparator is used for searching the highest average energy efficiency ratio in the average energy efficiency ratios of the air conditioning systems to obtain a first regulation and control scheme corresponding to the highest average energy efficiency ratio; and the sending device is used for sending a regulation and control instruction to the air conditioning system according to the first regulation and control scheme so as to realize the control of the air conditioning system.
Further, the first calculator includes: the second processor is used for converting the regulating parameters in each regulating scheme into direct regulating parameters and inquiring in the data table according to the direct regulating parameters and the operation parameters so as to obtain corresponding calculation parameters; and the third processor is used for calculating the energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme according to the calculation parameters and the system control program.
Further, the first calculator further includes: and the second calculator is used for calculating the average value of all the energy efficiency ratios corresponding to each regulation scheme so as to obtain the average energy efficiency ratio corresponding to each regulation scheme.
Further, the second calculator includes: first detecting means for judging whether or not a simulation run time for executing the second processor reaches a set value; the memory is connected with the first detection device and used for storing all energy efficiency ratios of the air conditioning system corresponding to each regulation and control scheme under the condition that the simulation running time reaches a set value; and the third calculator is connected with the first detection device and used for calculating the average value of all the energy efficiency ratios corresponding to each regulation and control scheme under the condition that the simulation running time does not reach the set value so as to obtain the average energy efficiency ratio corresponding to each regulation and control scheme.
Further, the system further comprises: and the second detection device is used for judging whether the shutdown time is reached.
According to another aspect of the present invention, there is provided an air conditioner including a control system of an air conditioning system.
Through the utility model discloses, be connected control system and air conditioning system, control system adopts first treater, first calculator, comparator and transmitting device, acquire air conditioning system's operating parameter, and change the judgement system operation situation according to air conditioning system's operating parameter, and set out one or more regulation and control strategies from the whole efficiency of system, then to each regulation and control scheme operation processing reach the efficiency ratio that adopts air conditioning system behind every regulation and control scheme, select and carry out the regulation and control scheme that makes air conditioning system efficiency ratio the highest from each regulation and control scheme, the control method to air conditioning system among the prior art can not follow the whole lower technical problem of the whole efficiency of air conditioning system that reasonable regulation brought, and then realized the effect that improves the whole energy efficiency ratio of air conditioning system.
Drawings
The accompanying drawings, which form a part of the present application, 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 description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a control method of an air conditioning system according to the present invention;
fig. 2 is a flowchart of a control method of the air conditioning system according to the embodiment shown in fig. 1;
fig. 3 is a flowchart of a control method of an air conditioning system according to another embodiment shown in fig. 1;
fig. 4 is a schematic structural view of a control device of an air conditioning system according to the present invention;
fig. 5 is a schematic structural view of a control system of an air conditioning system according to the present invention; and
fig. 6 is a schematic configuration diagram of a control system of the air conditioning system according to the embodiment shown in fig. 5.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a flowchart of a control method of an air conditioning system according to the present invention. Fig. 2 is a flowchart of a control method of the air conditioning system according to the embodiment shown in fig. 1. As shown in fig. 1 and 2, according to an embodiment of a control method of an air conditioning system of the present application, the method includes the steps of:
and step S1, acquiring the operation parameters of the air conditioning system.
And step S2, performing matching processing in the system according to each operation parameter to obtain one or more regulation and control schemes corresponding to each operation parameter.
And step S3, respectively carrying out operation processing on each regulation and control scheme to obtain the average energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme.
And step S4, searching the highest average energy efficiency ratio in the average energy efficiency ratios of the air conditioning systems to obtain a first regulation and control scheme corresponding to the highest average energy efficiency ratio.
And step S5, sending a regulation and control instruction to the air conditioning system according to the first regulation and control scheme so as to realize the control of the air conditioning system.
By the control method of the air conditioning system, the operation parameters of the air conditioning system are obtained, matching processing is carried out in the system according to the operation parameters to obtain one or more regulation schemes corresponding to the operation parameters, operation processing is carried out on the regulation schemes respectively to obtain the average energy efficiency ratio of the air conditioning system corresponding to the regulation schemes, then the highest average energy efficiency ratio is searched in the average energy efficiency ratios of the air conditioning systems, and after the first regulation scheme corresponding to the highest average energy efficiency ratio is obtained, a regulation instruction is sent to the air conditioning system according to the first regulation scheme to control the air conditioning system. The utility model discloses operating condition of system is judged according to air conditioning system's operating parameter change, and set out one or more regulation and control strategies from the whole efficiency of system, then reach the efficiency ratio that adopts air conditioning system behind every regulation and control scheme arithmetic processing to each regulation and control scheme, select and carry out the regulation and control scheme that makes air conditioning system efficiency ratio the highest from each regulation and control scheme, the lower technical problem of the whole efficiency of air conditioning system that the control method to air conditioning system can not follow whole reasonable regulation and bring among the prior art has been solved, and then the effect that improves the whole efficiency ratio of air conditioning system has been realized.
In the above embodiment of the present application, the step S3 may further include the steps of:
and step S31, inquiring in the first database according to the adjusting parameters in each adjusting scheme to obtain corresponding direct adjusting parameters.
And step S32, inquiring in a data table according to the direct control parameters and the operation parameters to obtain corresponding calculation parameters.
Step S33, calculating the energy efficiency ratio of the air conditioning system corresponding to each regulation scheme according to the calculation parameters and a system control program, wherein,
the calculating of the parameters includes: the main machine refrigerating capacity/heating capacity, the water pump input power, the cooling tower power and the main machine input power.
The regulation parameters in the regulation and control scheme are parameters which change in the regulation and control scheme, and specifically can be the number of running units, the load factor of the units, the number of water pumps running on the air conditioner side, the frequency of water pumps running on the air conditioner side, the number of water pumps running on the buried pipes, the frequency of water pumps running on the buried pipes, the opening number of the buried pipes, the frequency of fans of the cooling tower, the number of water pumps running on the cooling tower and the frequency of water pumps running on the cooling tower.
Specifically, the direct control parameter may be a parameter that can be directly and quantitatively controlled during system adjustment, the system operation parameter may be a parameter that cannot be directly controlled during system operation, and the system calculation parameter (i.e., a calculation parameter) is a value of a certain parameter corresponding to the determined direct control parameter and the determined system operation parameter/objective parameter, and in addition, part of the system calculation parameters may also participate in the calculation of other system calculation parameters as the system operation parameters. In particular, the operating parameters may include objective parameters.
Preferably, the "direct control parameter" and the "system operation parameter" take several values at certain intervals according to the variation range thereof, for example, the load rate of the unit may take 30%, 35%, 40% … … 95%. The system calculation parameters can be obtained by an experimental or simulation calculation method before the control system is installed, can also be obtained from the air conditioning system in a self-learning mode in the operation process of the control system, and can also be combined to write related data into the control system in advance, and then are perfected by a self-learning function in the operation process of the system.
According to the above-described embodiment of the present application, after step S33, the control method of the air conditioning system of the present application may further include the steps of:
in step S34, it is determined whether the simulation operating time for executing steps S1 to S3 reaches a set value.
Specifically, if the simulation run time does not reach the set value, return is made to the loop execution steps S1 to S3; if the simulation operation time reaches the set value, all the energy efficiency ratios of the air conditioning system corresponding to the respective control schemes are saved, and step S35 is executed.
Step S35, calculating an average value of all energy efficiency ratios corresponding to each regulation and control project to obtain an average energy efficiency ratio corresponding to each regulation and control project.
In an embodiment of the control method of the air conditioning system of the present invention, after step S5, the method may further include the steps of:
in step S6, it is determined whether or not the shutdown time has been reached.
Specifically, if the shutdown time has not been reached, the process returns to step S1; and if the shutdown time is reached, exiting.
Fig. 3 is a flowchart of a control method of an air conditioning system according to another embodiment shown in fig. 1. As shown in fig. 3, a detailed control method of an air conditioning system is provided, which specifically includes the following steps:
and S101, detecting and feeding back system operation parameters, namely feeding back the monitored operation parameters of the air conditioning system to the system.
In this embodiment, the operation parameters may include operation parameters monitored by a sensor of the air conditioning system and an equipment controller, wherein the sensor may include a temperature sensor, a pressure sensor, a flow meter, and a humidity sensor, and may monitor various operation parameters of the air conditioning system and feed back the parameters to the control system; the plant controller may include a heat pump unit controller and other plant controllers that feed back monitored operating parameters of the plant to the central controller.
And step S102, the system provides several control strategies, namely the system judges the running state of the whole air conditioning system according to the change condition of the running parameters, judges the running state in the system according to a pre-written program and provides one or more reasonable adjustment strategies.
In step S102, the adjusting strategy (i.e., the control strategy) may include: the method comprises the following steps of changing the number of running units, adjusting the load rate of the units, changing the number of running water pumps on the air conditioner side, adjusting the frequency of water pumps on the air conditioner side, changing the number of running water pumps on the buried pipes, adjusting the frequency of water pumps on the buried pipes, adjusting the opening number of the buried pipes, adjusting the frequency of fans of the cooling tower, changing the number of running water pumps on the cooling tower and adjusting the frequency of water pumps on the cooling tower, wherein specifically, the adjusting strategy can be one or a combination of more of the above.
And step S103, calculating the direct regulation parameter values corresponding to the control strategies.
Preferably, in step S102, the control system processes the parameters (i.e. the adjustment parameters) that change in each adjustment strategy by using the relevant data stored in the system database, and converts the parameters into the corresponding direct control parameters in the database.
Wherein, the database can include: heat pump set system database, buried pipe system database and cooling tower database, every database can include: direct control parameters, system operating parameters/objective parameters, and system calculation parameters. Specifically, the direct control parameters of the heat pump unit system database may be: the load rate of the unit (single unit), the side water flow of the air conditioner (single unit) and the side water flow of the ground source (single unit); the direct regulation and control parameters of the buried pipe system can be as follows: the opening number of the buried pipes and the total flow of the buried pipes; the direct control parameters of the cooling tower system are as follows: cooling tower fan frequency (single), cooling tower water pump flow (single).
Step S104, monitoring the system operation parameters.
When step S104 is executed, the system operation parameters of the heat pump unit system database may include: air conditioner side water inlet temperature, ground source side water inlet temperature and terminal load; the system operating parameters of the buried pipe system may be: soil thermophysical property parameters and buried pipe water inlet temperature; the system operating parameters of the cooling tower system may be: outdoor temperature, outdoor humidity, cooling tower inlet water temperature. In particular, the operating parameters may include objective parameters.
In step S105, the corresponding "calculation parameters" are read from the database.
Specifically, in step S105, the control system feeds back the current "operating parameters" of the air conditioning system to the controller of the control system, and then the controller searches the database of the control system for each "system calculation parameter" corresponding to the direct control parameter and the operating parameter obtained in step S103.
Wherein, the calculation parameters of the heat pump unit system database can include: the system comprises a unit refrigerating/heating quantity (single unit), a unit input power (single unit), an air conditioner side water pump power (single unit), a ground source side water pump power (single unit), an air conditioner side water outlet temperature and a ground source side water outlet temperature; the calculation parameters of the buried pipe system can comprise the temperature of the outlet water of the buried pipe.
And step S106, calculating the energy efficiency ratio of the single circulation system.
Specifically, in step S106, the control system calculates the trend of the change in the system operating conditions and the overall energy efficiency ratio of the system after each adjustment strategy is executed, using the relevant data stored in the system database.
In step S107, it is determined whether the simulation run time reaches a set value.
Specifically, when step S107 is executed, it is determined whether the simulation running time for executing steps S103 to S106 reaches a set value, and if not, execution returns to steps S103 to S106; and if the set value is reached, storing all the energy efficiency ratios of the air conditioning systems corresponding to the regulation schemes and executing the step S108.
Preferably, part of the system calculation parameters may be used as the system operation parameters to participate in the calculation of the system calculation parameters performed in the next cycle, for example, the ground source side outlet water temperature of the unit may be used as the buried pipe inlet water temperature and the cooling tower inlet water temperature, and participate in the calculation of the buried pipe outlet water temperature, the cooling tower outlet water temperature and the cooling tower input power, and meanwhile, the buried pipe outlet water temperature and the cooling tower outlet water temperature may be used as the ground source side inlet water temperature of the unit after being processed by the controller, and participate in the calculation of various parameters of the heat pump unit system.
And step S108, calculating the system energy efficiency ratio within the set time, namely carrying out average energy efficiency analysis within the set time on several regulation strategies proposed by the control system.
Specifically, in step S108, since the time lag of the operating parameter of the air conditioning system is obtained, and a certain time is required for converting the processing of the "direct control parameter" of the control system into the "system calculation parameter", the control system preferably takes one cycle of the air conditioning system as a set value. And in the set time, the number of times of calculating the overall energy efficiency ratio of the air conditioning system is certain, and the average value of the results of the overall energy efficiency calculation of the system obtained in the time is obtained and used as the basis for selecting the regulation and control strategy of the control system.
And step S109, executing the operation strategy with the maximum system energy efficiency ratio.
Specifically, in step S109, the operation strategy is selected and executed by pre-determining the average energy efficiency ratio of the system within the set time.
Preferably, the control system selects an adjusting strategy which can obtain the highest energy efficiency ratio of the air conditioning system, sends a regulating instruction to the air conditioning system, realizes the adjustment, the start and stop of the air conditioning system and the switching control of related waterways, and ensures that the air conditioning system runs at the high energy efficiency ratio.
Step S110, judging whether the shutdown time is reached, wherein if the shutdown time is reached, ending the process; if the shutdown time is not reached, the process returns to step S101.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
Fig. 4 is a schematic configuration diagram of a control device of an air conditioning system according to the present application. As shown in fig. 4, the apparatus includes: the first acquisition module 10 is used for acquiring the operating parameters of the air conditioning system; the matching module 20 is configured to perform matching processing in the system according to each operating parameter to obtain one or more control schemes corresponding to each operating parameter; the first operation module 30 is configured to perform operation processing on each regulation and control scheme respectively to obtain an average energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme; the comparison module 40 is configured to search the highest average energy efficiency ratio among the average energy efficiency ratios of the air conditioning systems to obtain a first regulation and control scheme corresponding to the highest average energy efficiency ratio; and the sending module 50 is configured to send a regulation instruction to the air conditioning system according to the first regulation scheme, so as to control the air conditioning system.
According to the control device of the air conditioning system, the first acquisition module, the matching module, the first operation module, the comparison module and the sending module are adopted, the operation condition of the air conditioning system is judged according to the acquired operation parameter change of the air conditioning system, one or more regulation and control strategies are formulated from the overall energy efficiency of the air conditioning system, then the energy efficiency ratio of the air conditioning system after each regulation and control scheme is adopted is obtained through operation processing of each regulation and control scheme, the regulation and control scheme enabling the energy efficiency ratio of the air conditioning system to be the highest is selected and executed from each regulation and control scheme, the technical problem that the overall energy efficiency of the air conditioning system is lower due to the fact that the control method of the air conditioning system in the prior art cannot reasonably adjust the whole air conditioning system is solved, and the effect of improving the overall energy efficiency ratio.
In the above embodiment of the present application, the first operation module 30 may further include: the first query module is used for querying in the first database according to the adjusting parameters in each adjusting and controlling scheme so as to obtain corresponding direct adjusting and controlling parameters; the second query module is used for querying in the data table according to the direct regulation and control parameters and the operation parameters so as to obtain corresponding calculation parameters; a calculation module for calculating the energy efficiency ratio of the air conditioning system corresponding to each regulation scheme according to the calculation parameters and the system control program, wherein,
the calculating of the parameters includes: the main machine refrigerating capacity/heating capacity, the water pump input power, the cooling tower power and the main machine input power.
According to the above embodiment of the present invention, the first operation module 30 may further include: the first judgment module is used for judging whether the simulation running time from the first query module to the calculation module reaches a set value or not; the storage module is used for storing all energy efficiency ratios of the air conditioning system corresponding to each regulation and control scheme under the condition that the simulation running time reaches a set value; and the second operation module is used for calculating the average value of all the energy efficiency ratios corresponding to each regulation and control scheme under the condition that the simulation running time does not reach a set value so as to obtain the average energy efficiency ratio corresponding to each regulation and control scheme.
In an embodiment of the control device of the air conditioning system of the present application, the device may further include: and the second judgment module is used for judging whether the shutdown time is reached.
Fig. 5 is a schematic structural diagram of a control system of an air conditioning system according to the present invention. Fig. 6 is a schematic configuration diagram of a control system of the air conditioning system according to the embodiment shown in fig. 5. As shown in fig. 5 and 6, the system may include: the air conditioning system 100 which transmits the operation parameters; the control system 200 is connected to the air conditioning system and configured to obtain an operation parameter of the air conditioning system 100, and specifically, the control system 200 may include: the first processor 201 is configured to perform matching processing in the system according to each operating parameter to obtain one or more control schemes corresponding to each operating parameter; the first calculator 202 is configured to perform operation processing on each regulation and control scheme respectively to obtain an average energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme; the comparator 203 is used for searching the highest average energy efficiency ratio in the average energy efficiency ratios of the air conditioning systems to obtain a first regulation and control scheme corresponding to the highest average energy efficiency ratio; and the sending device 204 is configured to send a regulation instruction to the air conditioning system 100 according to the first regulation scheme, so as to implement control of the air conditioning system 100.
Preferably, the utility model provides a control system can include by central controller, system database, operation display interface, remote monitoring computer and sensor, executor, each equipment controller, and the main part object of control is the air conditioning system that ground source heat pump and supplementary cold and hot source are constituteed, and wherein, ground source heat pump system can be forms such as ground source heat pump, surface water source heat pump, groundwater source heat pump, and supplementary cold and hot source can be cooling tower, boiler, solar energy etc.. The core control method is also suitable for other forms of air conditioning systems. Specifically, the sensor may include: a temperature sensor, a pressure sensor, a flow sensor and a humidity sensor; the device controller may include: the system comprises a unit controller, a water pump controller and a fan controller; the actuator may include: electric valve, water pump frequency converter and fan frequency converter.
According to the control system of the air conditioning system, the control system is connected with the air conditioning system, the control system obtains the operation parameters of the air conditioning system by adopting the first processor, the first calculator, the comparator and the sending device, performs matching processing in the system according to the operation parameters to obtain one or more regulation and control schemes corresponding to the operation parameters, performs operation processing on the regulation and control schemes respectively to obtain the average energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme, searches for the highest average energy efficiency ratio in the average energy efficiency ratios of the air conditioning systems, and sends a regulation and control instruction to the air conditioning system according to the first regulation and control scheme after obtaining the first regulation and control scheme corresponding to the highest average energy efficiency ratio to realize control over the air conditioning system. According to the method and the device, the operation condition of the air conditioning system is judged according to the obtained operation parameter change of the air conditioning system, one or more regulation and control strategies are formulated based on the overall energy efficiency of the air conditioning system, then the energy efficiency ratio of the air conditioning system adopting each regulation and control scheme is obtained through operation processing of each regulation and control scheme, the regulation and control scheme enabling the energy efficiency ratio of the air conditioning system to be the highest is selected and executed from each regulation and control scheme, the technical problem that the overall energy efficiency of the air conditioning system is low due to the fact that the control method of the air conditioning system in the prior art cannot be reasonably adjusted from the whole is solved, and the effect of improving the overall energy efficiency ratio of.
According to the above-described embodiments of the present application, the first calculator may include: the second processor is used for converting the regulation parameters in each regulation scheme into direct regulation parameters and inquiring in the data table according to the direct regulation parameters and the operation parameters so as to obtain corresponding calculation parameters; and the third processor is used for calculating the energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme according to the calculation parameters and the system control program.
Wherein,
the calculating of the parameters includes: the main machine refrigerating capacity/heating capacity, the water pump input power, the cooling tower power and the main machine input power.
In the above embodiments of the present invention, the control system of the air conditioning system may further include: and the second calculator is used for storing all the energy efficiency ratios of the air conditioning system corresponding to the regulation schemes, and calculating the average value of all the energy efficiency ratios corresponding to each regulation scheme so as to obtain the average energy efficiency ratio corresponding to each regulation scheme.
Preferably, the second calculator may include: first detecting means for judging whether or not a simulation run time for executing the second processor reaches a set value; the memory is connected with the first detection device and used for storing all energy efficiency ratios of the air conditioning system corresponding to each regulation and control scheme under the condition that the simulation running time reaches a set value; and the third calculator is connected with the first detection device and used for calculating the average value of all the energy efficiency ratios corresponding to each regulation and control scheme under the condition that the simulation running time does not reach the set value so as to obtain the average energy efficiency ratio corresponding to each regulation and control scheme.
In the above embodiments of the present application, the system may further include: and the second detection device is used for judging whether the shutdown time is reached.
Specifically, as shown in fig. 6, the system database is composed of three parts including a heat pump unit system database, a buried pipe system database, a cooling tower system database, and the like. There are three parameters in each database: directly regulating and controlling parameters, system operation parameters and system calculation parameters. The system operation parameter is a parameter which can not be directly regulated and controlled when the system is in operation, the system calculation parameter is a value of a certain parameter corresponding to the determined direct regulation parameter and the determined system operation parameter, and part of the system calculation parameters can also be used as the system operation parameters to participate in the calculation of other system calculation parameters.
Specifically, the "direct control parameter" and the "system operation parameter" take several values at certain intervals according to the variation range thereof, for example, the load rate of the unit may take 30%, 35%, 40% … … 95%. The system calculation parameters can be obtained by an experimental or simulation calculation method before the system is installed, can also be obtained by a self-learning method in the system operation process, or can be combined with the self-learning method, relevant data is written into the system in advance, and then the improvement is completed by a self-learning function in the operation process.
In the above embodiment, the direct control parameters of the heat pump unit system database may be: the load rate of the unit (single unit), the side water flow of the air conditioner (single unit) and the side water flow of the ground source (single unit); the system operating parameters may be: air conditioner side water inlet temperature, ground source side water inlet temperature and terminal load; the system calculation parameters may be: the system comprises a unit refrigerating/heating quantity (single unit), a unit input power (single unit), an air conditioner side water pump power (single unit), a ground source side water pump power (single unit), an air conditioner side water outlet temperature and a ground source side water outlet temperature.
According to the above embodiment, the direct regulation and control parameters of the buried pipe system database may be: the opening number of the buried pipes and the total water flow of the buried pipes; the system operating parameters may be: soil thermophysical property parameters and buried pipe water inlet temperature; the system calculation parameters may be: the temperature of the water outlet of the buried pipe.
According to the above embodiment, the direct control parameters of the cooling tower system database may be: cooling tower fan frequency (single), cooling tower water pump flow rate (single); the system operating parameters may be: outdoor temperature, outdoor humidity, cooling tower inlet water temperature; the system calculation parameters may be: the outlet water temperature of the cooling tower and the input power of the cooling tower (single unit).
According to another aspect of the present invention, there is provided an air conditioner preferably including the control system of the air conditioning system in the above embodiment.
From the above description, it can be seen that, adopt the utility model discloses foretell embodiment provides an air conditioning system's control system and air conditioner, the operational aspect of air conditioning system is judged according to the operational parameter change of the air conditioning system who acquires, and set out one or more regulation and control strategy from air conditioning system's whole efficiency, then reach the efficiency ratio that adopts air conditioning system behind each regulation and control scheme arithmetic processing to each regulation and control scheme, select and carry out the regulation and control scheme that makes air conditioning system efficiency ratio the highest from each regulation and control scheme, the technical problem that the whole efficiency ratio of air conditioning system that the control method to air conditioning system among the prior art can not follow whole reasonable regulation and bring has been solved, and then the effect that improves the whole energy efficiency ratio of air conditioning system has been realized.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A control system for an air conditioning system, comprising:
an air conditioning system that transmits the operation parameters;
a control system connected with the air conditioning system and used for acquiring the operating parameters of the air conditioning system,
wherein the control system comprises:
the first processor is used for carrying out matching processing in the system according to each operating parameter so as to obtain one or more regulating and controlling schemes corresponding to each operating parameter;
the first calculator is used for respectively carrying out operation processing on each regulation and control scheme so as to obtain the average energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme;
the comparator is used for searching the highest average energy efficiency ratio in the average energy efficiency ratios of the air conditioning systems to obtain a first regulation and control scheme corresponding to the highest average energy efficiency ratio;
and the sending device is used for sending a regulation and control instruction to the air conditioning system according to the first regulation and control scheme so as to realize the control of the air conditioning system.
2. The system of claim 1, wherein the first calculator comprises:
the second processor is used for converting the regulating parameters in each regulating scheme into direct regulating parameters and inquiring in a data table according to the direct regulating parameters and the operating parameters so as to obtain corresponding calculation parameters; and the third processor is used for calculating the energy efficiency ratio of the air conditioning system corresponding to each regulation and control scheme according to the calculation parameters and a system control program.
3. The system of claim 2, wherein the first calculator further comprises:
and the second calculator is used for calculating the average value of all the energy efficiency ratios corresponding to each regulation scheme so as to obtain the average energy efficiency ratio corresponding to each regulation scheme.
4. The system of claim 3, wherein the second calculator comprises:
first detecting means for judging whether or not a simulation run time for executing the second processor reaches a set value;
the memory is connected with the first detection device and used for storing all energy efficiency ratios of the air conditioning system corresponding to each regulation and control scheme under the condition that the simulation running time reaches a set value;
and the third calculator is connected with the first detection device and used for calculating the average value of all the energy efficiency ratios corresponding to each regulation scheme under the condition that the simulation running time does not reach a set value so as to obtain the average energy efficiency ratio corresponding to each regulation scheme.
5. The system of claim 4, further comprising:
and the second detection device is used for judging whether the shutdown time is reached.
6. An air conditioner, comprising: the control system of an air conditioning system of any of claims 1 to 5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201220339083 CN202648064U (en) | 2012-07-12 | 2012-07-12 | Control system for air conditioning system and air conditioner |
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| CN 201220339083 CN202648064U (en) | 2012-07-12 | 2012-07-12 | Control system for air conditioning system and air conditioner |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103542489A (en) * | 2012-07-12 | 2014-01-29 | 珠海格力节能环保制冷技术研究中心有限公司 | Control method, device and system of air conditioner system |
| CN104515264A (en) * | 2015-01-12 | 2015-04-15 | 张显东 | Intelligent energy-saving control method and system of air conditioner |
| CN106594957A (en) * | 2015-10-15 | 2017-04-26 | 洪荣昭 | Control method of energy consumption device and control method of air conditioning device |
| US10310478B2 (en) | 2016-01-19 | 2019-06-04 | Delta Electronics, Inc. | Power optimization system for air-side apparatus of air conditioning and power optimization method of the same |
| CN110177980A (en) * | 2017-03-10 | 2019-08-27 | 株式会社日立制作所 | The performance diagnogtics device and performance diagnogtics method of air conditioner |
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2012
- 2012-07-12 CN CN 201220339083 patent/CN202648064U/en not_active Expired - Lifetime
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103542489A (en) * | 2012-07-12 | 2014-01-29 | 珠海格力节能环保制冷技术研究中心有限公司 | Control method, device and system of air conditioner system |
| CN103542489B (en) * | 2012-07-12 | 2015-12-09 | 珠海格力节能环保制冷技术研究中心有限公司 | The control method of air-conditioning system, Apparatus and system |
| CN104515264A (en) * | 2015-01-12 | 2015-04-15 | 张显东 | Intelligent energy-saving control method and system of air conditioner |
| CN104515264B (en) * | 2015-01-12 | 2017-12-19 | 广东雄志信息科技有限公司 | A kind of air conditioner intelligent energy-saving control method and system |
| CN106594957A (en) * | 2015-10-15 | 2017-04-26 | 洪荣昭 | Control method of energy consumption device and control method of air conditioning device |
| US10019050B2 (en) | 2015-10-15 | 2018-07-10 | National Taiwan Normal University | Method of power management for saving energy |
| US10310478B2 (en) | 2016-01-19 | 2019-06-04 | Delta Electronics, Inc. | Power optimization system for air-side apparatus of air conditioning and power optimization method of the same |
| CN110177980A (en) * | 2017-03-10 | 2019-08-27 | 株式会社日立制作所 | The performance diagnogtics device and performance diagnogtics method of air conditioner |
| CN110177980B (en) * | 2017-03-10 | 2021-08-27 | 株式会社日立制作所 | Performance diagnostic device and performance diagnostic method for air conditioner |
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