WO2023098833A1 - 空调机组的控制方法、装置、电子设备和可读存储介质 - Google Patents

空调机组的控制方法、装置、电子设备和可读存储介质 Download PDF

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WO2023098833A1
WO2023098833A1 PCT/CN2022/136008 CN2022136008W WO2023098833A1 WO 2023098833 A1 WO2023098833 A1 WO 2023098833A1 CN 2022136008 W CN2022136008 W CN 2022136008W WO 2023098833 A1 WO2023098833 A1 WO 2023098833A1
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Prior art keywords
workload
conditioning unit
target
efficiency
air conditioning
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PCT/CN2022/136008
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English (en)
French (fr)
Inventor
李镇杉
杨志华
贺斌
赵倩一
王旭阳
张鸿翔
Original Assignee
重庆美的通用制冷设备有限公司
美的集团股份有限公司
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Priority to CA3219831A priority Critical patent/CA3219831A1/en
Publication of WO2023098833A1 publication Critical patent/WO2023098833A1/zh

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46—Improving electric energy efficiency or saving
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Definitions

  • the present disclosure relates to the technical field of compressors, and in particular to a control method, device, electronic equipment and readable storage medium of an air conditioner unit.
  • multi-compressor chilled water (heat pump) units in the industry are generally composed of multiple air conditioners of the same model or specification.
  • This design can make the control method of the unit for each compressor relatively simple.
  • the control method of a typical air conditioning unit is: for the compressors (not all compressors) that have been running, according to the principle of equal power or current, it is approximately considered that the cooling capacity and operating efficiency of each compressor are the same at this time.
  • each compressor When the unit is loaded, each compressor is loaded with the same power or current ratio, and the compressor that is not running is started until the power or current of the compressor that is already running is fully loaded; similarly, when the unit is unloaded, each compressor is unloaded (Reduce) the same power or current until the minimum cooling capacity boundary of the compressor has been reached, and then turn off an already running compressor.
  • the present disclosure provides a control method, device, electronic equipment and readable storage medium of an air conditioning unit, so as to at least adapt to different models and specifications of compressors in the air conditioning unit and improve the energy efficiency of the air conditioning unit.
  • Some embodiments of the present disclosure provide a control method for an air-conditioning unit, which is applied to an air-conditioning unit.
  • the air-conditioning unit may include multiple compressors.
  • the control method may include: determining the load adjustment target value of the air-conditioning unit; obtaining the load adjustment target value of each compressor Operating condition parameters, based on the operating condition parameters to calculate the first optimal efficiency and first workload of each compressor; wherein, the maximum value of the first workload represents the maximum cooling capacity of the compressor at the first optimal efficiency or The maximum heating capacity; the minimum value of the first workload represents the minimum cooling capacity or minimum heating capacity of the compressor at the first best efficiency; the first best efficiency and the first workload of each compressor are cross-arranged and combined to calculate, Obtain the second best efficiency and second workload of the air conditioning unit; wherein, the maximum value of the second workload represents the maximum cooling capacity or maximum heating capacity of the air conditioning unit at the second best efficiency; the minimum value of the second workload Characterize the minimum cooling capacity or minimum heating capacity of the air conditioning unit at the first optimal efficiency; determine the target optimal efficiency
  • the above-mentioned air-conditioning unit may include: a controller of the air-conditioning unit, multiple compressors, sensors of the multiple compressors, controllers of the multiple compressors, and actuators of the multiple compressors.
  • the step of determining the load adjustment target value of the air conditioning unit may include: the controller of the air conditioning unit determines the load adjustment target value of the air conditioning unit based on the change curve of the target water temperature and the current water temperature.
  • the above-mentioned step of acquiring the operating condition parameters of each compressor may include: sensors of a plurality of compressors acquire the operating condition parameters of the compressors.
  • the controller of the above-mentioned compressor may pre-store a performance database; the performance database may include the corresponding relationship between the operating condition parameters of the compressor and the first optimal efficiency and the first workload of the compressor.
  • the above-mentioned step of calculating the first optimal efficiency and the first workload of each compressor based on the operating condition parameters may include: inputting the operating condition parameters into the performance database, outputting the first optimal efficiency and the first operating condition of the compressor quantity.
  • the above-mentioned step of calculating the first optimal efficiency and the first workload of each compressor in a cross-permutation combination to obtain the second optimal efficiency and the second workload of the air-conditioning unit may include: The controller of the air-conditioning unit calculates the first optimum efficiency and the first workload of each compressor in a cross-permutation combination to obtain the second optimum efficiency and the second workload of the air-conditioning unit.
  • the step of determining the target optimal efficiency and the target workload from the second optimal efficiency and the second workload of the air-conditioning unit based on the load-based adjustment target value may include: Determine the third best efficiency and the third workload among the best efficiency and the second workload; wherein, the minimum value of the third workload is less than the load regulation target value, and the load regulation target value is smaller than the maximum value of the third workload; The maximum value of the third best efficiency is taken as the target best efficiency, and the third workload corresponding to the target best efficiency is taken as the target workload.
  • the step of determining the target optimal efficiency and the target workload from the second optimal efficiency and the second workload of the air-conditioning unit based on the load-based adjustment target value may include: if there is no third workload Calculate the difference between the minimum value of each second workload and the load adjustment target value; take the second workload corresponding to the minimum value of the difference as the target workload; take the second best efficiency corresponding to the target workload as the target best efficiency.
  • the above-mentioned step of controlling the cooling or heating operation of the air conditioning unit based on the target optimal efficiency and the target workload may include: controlling the actuator of the compressor based on the target optimal efficiency and the target workload to Make each compressor perform cooling or heating operation.
  • the above-mentioned air conditioning unit may be a chiller unit or a heat pump unit.
  • the air-conditioning unit may include a plurality of compressors.
  • the control device may include: a load adjustment target value determination module configured to determine the The load adjustment target value; the first optimal efficiency and the first workload calculation module, configured to obtain the operating condition parameters of each compressor, and calculate the first optimal efficiency and the second optimal efficiency of each compressor based on the operating condition parameters A workload; wherein, the maximum value of the first workload represents the maximum refrigeration capacity or the maximum heating capacity of the compressor at the first optimum efficiency; the minimum value of the first workload represents the compressor’s maximum efficiency at the first optimum efficiency Minimum refrigerating capacity or minimum heating capacity; the second best efficiency and second workload calculation module, configured to calculate the first best efficiency and first workload of each compressor in a cross-permutation combination to obtain the second best efficiency of the air conditioning unit Two optimal efficiency and the second workload; wherein, the maximum value of the second workload represents the maximum cooling capacity or maximum heating capacity of the air-conditioning
  • the above-mentioned air-conditioning unit may include a controller of the air-conditioning unit, multiple compressors, sensors of the multiple compressors, controllers of the multiple compressors, and actuators of the multiple compressors.
  • the load adjustment target value determining module may be configured to: enable the controller of the air conditioning unit to determine the load adjustment target value of the air conditioning unit based on the change curve of the target water temperature and the current water temperature.
  • the above-mentioned first optimum efficiency and first workload calculation module may be configured to: enable sensors of multiple compressors to acquire operating condition parameters of the compressors.
  • the controller of the above-mentioned compressor may pre-store a performance database; the above-mentioned performance database may include the correspondence between the operating condition parameters of the compressor and the first optimal efficiency and the first workload of the compressor Relationship; the above-mentioned first optimum efficiency and first workload calculation module may be configured to input the operating condition parameters into the performance database, and output the first optimum efficiency and the first workload of the compressor.
  • the above-mentioned second optimum efficiency and second workload calculation module may be configured to: make the controller of the air conditioning unit interleave the first optimum efficiency and the first workload of each compressor By permutation and combination calculation, the second best efficiency and the second workload of the air conditioning unit are obtained.
  • the above target optimal efficiency and target workload calculation module may be configured to determine the third optimal efficiency and the third workload from the second optimal efficiency and the second workload of the air conditioning unit amount; wherein, the minimum value of the third workload is less than the load regulation target value, and the load regulation target value is smaller than the maximum value of the third workload; the maximum value of the third best efficiency is taken as the target best efficiency, and, The third workload corresponding to the target optimal efficiency is used as the target workload.
  • FIG. 1 may include a processor and a memory
  • the memory stores computer-executable instructions that can be executed by the processor
  • the processor executes the computer-executable instructions In order to realize the control method of the above-mentioned air-conditioning unit.
  • Some other embodiments of the present disclosure also provide a computer-readable storage medium, which can store computer-executable instructions.
  • the computer-executable instructions When the computer-executable instructions are invoked and executed by a processor, the computer-executable instructions The processor is caused to implement the above-mentioned control method of the air conditioning unit.
  • FIG. 1 is a schematic diagram of a dual-compressor water-cooled chiller (heat pump) unit system provided by some embodiments of the present disclosure
  • Fig. 2 is a flowchart of a control method of an air conditioning unit provided by some embodiments of the present disclosure
  • Fig. 3 is a flowchart of another control method of an air conditioning unit provided by some embodiments of the present disclosure
  • Fig. 4 is a schematic diagram of a control system principle of an air conditioning unit provided by some embodiments of the present disclosure
  • Fig. 5 is a logical schematic diagram of a control method of an air conditioning unit provided by some embodiments of the present disclosure
  • Fig. 6 is a schematic diagram of a compressor performance database and an operation principle provided by some embodiments of the present disclosure
  • Fig. 7 is a schematic structural diagram of a control device for an air-conditioning unit provided by some embodiments of the present disclosure.
  • Fig. 8 is a schematic structural diagram of an electronic device provided by some embodiments of the present disclosure.
  • multi-compressor chiller (heat pump) units in the industry are generally composed of multiple air conditioners of the same model or specification (that is, in Figure 1
  • the compressor 1 and the compressor 2 adopt the same model or specification), and this design can make the control method of the unit for each compressor relatively simple.
  • the typical control method of air-conditioning units in the industry is: for the compressors that have been running (not all compressors), according to the principle of equal power or current, it is approximately considered that the cooling capacity and operating efficiency of each compressor are the same at this time.
  • each compressor When the unit is loaded, each compressor is loaded with the same power or current ratio, and the compressor that is not running is started until the power or current of the compressor that is already running is fully loaded; similarly, when the unit is unloaded, each compressor is unloaded (Reduce) the same power or current until the minimum cooling capacity boundary of the compressor has been reached, and then turn off an already running compressor.
  • control method can adjust the operating parameters of the compressor to make the cooling capacity of the unit meet the requirements of the user's water system, it is not based on the principle of optimal compressor efficiency, resulting in poor energy efficiency of the air conditioning unit.
  • embodiments of the present disclosure provide a control method, device, electronic equipment, and readable storage medium for an air conditioning unit, and specifically relate to an optimal control method for energy efficiency of a multi-compressor chiller (heat pump) unit.
  • An embodiment of the present disclosure provides a control method for an air-conditioning unit, which is applied to an air-conditioning unit.
  • the air-conditioning unit may include multiple compressors. Refer to the flow chart of a control method for an air-conditioning unit shown in FIG. 2 .
  • the control method for an air-conditioning unit May include the following steps:
  • Step S202 determining the load adjustment target value of the air conditioning unit.
  • the air-conditioning unit provided in the embodiments of the present disclosure may include multiple compressors, wherein the above-mentioned compressors may be of the same model or specification, or may be of different models and specifications.
  • the above-mentioned compressor can be used for cooling or heating, and correspondingly, the above-mentioned air-conditioning unit can be a chiller unit or a heat pump unit.
  • the load adjustment target value of the air-conditioning unit can be understood as the cooling capacity or heating capacity that the user wants the air-conditioning unit to produce.
  • the user can input the target water temperature, and the load regulation target value of the air conditioning unit can be calculated based on the target water temperature input by the user.
  • step S204 the operating condition parameters of each compressor are obtained, and the first optimal efficiency and the first workload of each compressor are calculated based on the operating condition parameters.
  • the operating condition parameters of the compressor may include parameters such as temperature, humidity, and current of the compressor.
  • the maximum value of the first workload represents the maximum refrigeration capacity or maximum heating capacity of the compressor at the first optimum efficiency; the minimum value of the first workload represents the minimum refrigeration capacity or minimum heating capacity of the compressor at the first optimum efficiency. heat.
  • step S206 the first optimum efficiency and the first workload of each compressor are cross-arranged and combined to calculate the second optimum efficiency and the second workload of the air conditioning unit.
  • the maximum value of the second workload represents the maximum cooling capacity or maximum heating capacity of the air-conditioning unit at the second best efficiency
  • the minimum value of the second workload represents the minimum cooling capacity or maximum heating capacity of the air-conditioning unit at the first best efficiency Minimum heating capacity
  • the first optimum efficiency and first workload of each compressor can be arranged and combined in various ways, so as to obtain the second optimum Best efficiency and second workload.
  • Step S208 determining the target optimal efficiency and the target workload from the second optimal efficiency and the second workload of the air conditioning unit based on the load adjustment target value.
  • an optimal optimal efficiency and workload can be determined from the second optimal efficiency and second workload of multiple air conditioning units based on the load adjustment target value, which is called the target optimal efficiency and target work quantity.
  • the above screening rules can be set based on the principle of optimal compressor efficiency, so as to carry out the control strategy of multi-compressor cooling capacity distribution and compressor number addition and subtraction, the compressor can be at the best efficiency, and the air conditioning unit can be at the best energy efficiency.
  • Step S210 based on the target optimal efficiency and the target workload, control the air conditioning unit to perform cooling or heating operations.
  • the compressors in the air-conditioning unit can be controlled to run or shut down according to the target optimal efficiency and target workload, so as to control the air-conditioning unit to perform cooling or heating operations.
  • An air conditioning unit control method, device, electronic equipment, and readable storage medium provided by the embodiments of the present disclosure calculate the first optimal efficiency and the first workload of each compressor based on the operating condition parameters, and calculate the first optimal efficiency and the first workload of each compressor based on the The first optimum efficiency and the first workload determine the second optimum efficiency and the second workload of the air conditioning unit, determine the target optimum efficiency and the target workload from the second optimum efficiency and the second workload, and, based on Target optimal efficiency and target workload control air conditioning units to perform cooling or heating operations.
  • This embodiment provides another control method for air-conditioning units, which is implemented on the basis of the above-mentioned embodiments, focusing on the determination of the second best efficiency and the second workload of multiple air-conditioning units based on the load adjustment target value Specific implementation steps for target optimal efficiency and target workload.
  • the flow chart of another control method for an air-conditioning unit, the control method for an air-conditioning unit in this embodiment includes the following steps:
  • Step S302 determining the load adjustment target value of the air conditioning unit.
  • the above-mentioned air-conditioning unit may include: a controller of the air-conditioning unit (also referred to as a unit controller), multiple compressors, sensors of multiple compressors, controllers of multiple compressors, and controllers of multiple compressors. Actuator.
  • the air-conditioning unit in Figure 4 includes n compressors, each compressor corresponds to a controller, an actuator and a sensor, and the controller of the air-conditioning unit It is communicatively connected with the controllers of n compressors.
  • the sensors of 1 ⁇ n# compressors can collect parameters such as pressure, temperature, and current, and the actuators of 1 ⁇ n# compressors can adjust the compressor capacity and speed.
  • the controllers of 1 ⁇ n# compressors respectively store databases or mathematical models (functions, equations, correlations, etc.) corresponding to the compressor’s cooling (heating) capacity and efficiency and actuator action parameters under different operating conditions .
  • the compressor controller may be omitted, and the compressor controller's functions, software, database, and connections with compressor sensors and actuators may be replaced Relationships are all integrated into the unit controller.
  • the unit controller functions, software, database, and connection relationship with unit sensors and actuators can all be integrated into the compressor controller, thereby omitting the unit controller.
  • the controller of the air conditioning unit may determine the load adjustment target value of the air conditioning unit based on the change curve of the target water temperature and the current water temperature.
  • the unit controller can calculate the target value of the cooling (heating) load adjustment of the unit according to the change curve of the target water temperature set by the user and the current actual water temperature .
  • Step S304 acquiring the operating condition parameters of each compressor, and calculating the first optimal efficiency and the first workload of each compressor based on the operating condition parameters.
  • the sensors of multiple compressors can acquire operating condition parameters of the compressors.
  • the controller of the compressor can input the operating condition parameters into the performance database, and output the first best efficiency and the first workload of the compressor.
  • the controllers of 1 ⁇ n# compressors calculate and obtain the operating condition parameters of the compressors through the parameters collected by the corresponding sensors and actuators. Since the controller of the compressor has a performance database stored in advance, based on the actual operating condition parameters of the compressor as input, according to the performance database in the compressor controller, the optimal efficiency of the compressor and the optimal efficiency of the compressor can be calculated.
  • the maximum and minimum cooling (heating) capacity that is, the first best efficiency and the first workload.
  • the compressor can operate at optimal efficiency.
  • step S306 the first optimum efficiency and the first workload of each compressor are cross-arranged and combined to obtain the second optimum efficiency and the second workload of the air-conditioning unit.
  • the controller of the air-conditioning unit may cross-arrange and combine the first optimum efficiency and first workload of each compressor to obtain the second optimum efficiency and second workload of the air-conditioning unit.
  • the unit controller receives the best efficiency uploaded by each compressor controller and the maximum and minimum cooling (heating) capacity under the best efficiency, it performs crossover with different numbers of compressors running and different running numbers.
  • the permutation and combination calculation can obtain the optimal efficiency of the unit and the maximum and minimum cooling (heating) capacity under the optimal efficiency of the unit when various compressors are combined.
  • Step S308 determining the third optimum efficiency and the third workload from the second optimum efficiency and the second workload of the air conditioning unit; wherein, the minimum value of the third workload is smaller than the load adjustment target value, and the load adjustment target The value is less than the maximum value of the third workload.
  • Step S310 taking the maximum value of the third best efficiency as the target best efficiency, and taking the third workload corresponding to the target best efficiency as the target workload.
  • the embodiment of the present disclosure can provide a multi-level screening method for the target workload.
  • the first-level condition screening only retain the minimum cooling (heating) capacity under the optimal efficiency of the unit ⁇ the target value of the load regulation of the unit ⁇ the maximum value under the optimal efficiency of the unit.
  • Refrigerating (heating) capacity" compressor operating combination that is, the third best efficiency and the third workload
  • sorted according to the best efficiency value of the unit from high to low, the highest efficiency is the optimal control method of unit energy efficiency the optimal solution of .
  • the following steps can be performed for the second-level condition screening: determine the third best efficiency The running time of the compressor corresponding to the plurality of third workloads corresponding to the maximum value; and the third workload corresponding to the minimum value of the compressor running time as the target workload.
  • the screening condition is the operation combination of "compressors have been running for the least amount of time", so as to ensure that the life of each compressor is balanced.
  • the following steps can be performed for the second-level condition screening: If there is no third workload, calculate the minimum of each second workload value and the load adjustment target value; the second workload corresponding to the minimum value of the difference is taken as the target workload; and the second best efficiency corresponding to the target workload is taken as the target best efficiency.
  • unit load adjustment target value the minimum cooling (heating) capacity under the optimal efficiency of the unit
  • the minimum cooling (heating) capacity under the optimal efficiency of the unit Cooling (heating) capacity—the overall target value of unit load regulation minimum min” operation combination.
  • Step S312 based on the target optimal efficiency and the target workload, control the air conditioning unit to perform cooling or heating operations.
  • the actuators of the compressors may be controlled based on the target optimal efficiency and the target workload, so that the respective compressors perform cooling or heating operations.
  • the control method provided by the embodiments of the present disclosure can not only improve the operating energy efficiency of the unit, realize energy saving and emission reduction, but also improve the stability of the unit and reduce the risk of compressor failure.
  • the above-mentioned method provided by the embodiment of the present disclosure can make the multi-compressor chilled water (heat pump) unit, regardless of whether the models, specifications and performance characteristics of the multiple compressors used are the same or not, can well calculate and allocate what each compressor should achieve refrigerating capacity, and can control the increase and decrease of the number of compressors running.
  • heat pump chilled water
  • the above method provided by the embodiments of the present disclosure can calculate the optimal efficiency operation arrangement and combination of multiple compressors according to the actual operating conditions of each compressor and on the premise of meeting the cooling (heating) demand of the user, and seek the best solution, so that the multi-compressor chilled water (heat pump) unit can run at the best energy efficiency state during load regulation, thereby saving the power consumption of the unit and realizing building energy saving and emission reduction.
  • the compressor When the compressor operates in its optimum efficiency range, the compressor also operates in an area with better reliability and safety. Therefore, the above method provided by the embodiments of the present disclosure improves the stability of the unit and reduces the risk of failure.
  • the embodiment of the present disclosure provides a control device for an air conditioning unit, referring to the schematic structural diagram of a control device for an air conditioning unit shown in FIG. machine, the control device of the air conditioning unit may include:
  • a load regulation target value determining module 71 configured to determine a load regulation target value of the air conditioning unit
  • the first optimal efficiency and first workload calculation module 72 is configured to obtain the operating condition parameters of each compressor, and calculate the first optimal efficiency and first workload of each compressor based on the operating condition parameters; wherein , the maximum value of the first workload represents the maximum cooling capacity or maximum heating capacity of the compressor at the first optimal efficiency; the minimum value of the first workload represents the minimum cooling capacity or minimum heating capacity of the compressor at the first optimal efficiency Heating capacity;
  • the second optimum efficiency and second workload calculation module 73 is configured to calculate the first optimum efficiency and the first workload of each compressor in a cross-permutation combination to obtain the second optimum efficiency and the second optimum efficiency of the air-conditioning unit. workload; wherein, the maximum value of the second workload represents the maximum cooling capacity or maximum heating capacity of the air-conditioning unit at the second best efficiency; the minimum value of the second workload represents the minimum of the air-conditioning unit at the first best efficiency Cooling capacity or minimum heating capacity;
  • the target optimal efficiency and target workload calculation module 74 is configured to determine the target optimal efficiency and target workload from the second optimal efficiency and the second workload of a plurality of air conditioning units based on the load adjustment target value;
  • the air conditioning unit operating module 75 is configured to control the air conditioning unit to perform cooling or heating operations based on the target optimal efficiency and the target workload.
  • An embodiment of the present disclosure provides a control device for an air-conditioning unit, which calculates the first optimal efficiency and first workload of each compressor based on the operating condition parameters, and calculates the first optimal efficiency and first workload of each compressor Cross permutation and combination calculation to obtain the second best efficiency and second workload of the air conditioning unit, determine the target best efficiency and target workload from the second best efficiency and second workload, and, based on the target best efficiency and The target workload controls the air conditioning unit to perform cooling or heating operations.
  • the cooling capacity or heating capacity that each compressor should achieve can be well calculated and distributed, and the number of compressors running can be calculated increase and decrease control.
  • the operation arrangement and combination of multi-compressors with the best efficiency can be calculated and the best solution can be found, so that the multi-air conditioner unit It can operate at the best energy efficiency state during load regulation, thereby saving the power consumption of the unit and realizing building energy saving and emission reduction.
  • the above-mentioned air-conditioning unit may include: a controller of the air-conditioning unit, multiple compressors, sensors of the multiple compressors, controllers of the multiple compressors, and actuators of the multiple compressors.
  • the above load adjustment target value determination module may be configured for the controller of the air conditioning unit to determine the load adjustment target value of the air conditioning unit based on the change curve of the target water temperature and the current water temperature.
  • the above-mentioned first optimal efficiency and first workload calculation module may be configured to use sensors of a plurality of compressors to acquire operating condition parameters of the compressors.
  • the controller of the above-mentioned compressor may have a performance database stored in advance; the performance database may include the corresponding relationship between the operating condition parameters of the compressor and the first best efficiency and first workload of the compressor; the above-mentioned first best efficiency and second A workload calculation module may be configured to input the operating condition parameters into the performance database, and output the first best efficiency and the first workload of the compressor.
  • the above-mentioned second optimum efficiency and second workload calculation module can be configured to be used for the controller of the air-conditioning unit to calculate the first optimum efficiency and first workload of each compressor in a cross-permutation combination to obtain the second optimum efficiency of the air-conditioning unit. Best efficiency and second workload.
  • the above target optimum efficiency and target workload calculation module can be configured to determine the third optimum efficiency and the third workload among the second optimum efficiency and the second workload of the air conditioning unit; wherein, the minimum of the third workload The value is less than the load adjustment target value, and the load adjustment target value is less than the maximum value of the third workload; the maximum value of the third best efficiency is taken as the target best efficiency, and the third workload corresponding to the target best efficiency as the target workload.
  • the maximum value of the above-mentioned third optimal efficiency may correspond to multiple third workloads; the above-mentioned target optimal efficiency and target workload calculation module may be configured to determine multiple third workloads corresponding to the maximum value of the third optimal efficiency
  • the compressor running time corresponding to the amount; the third workload corresponding to the minimum value of the compressor running time is taken as the target workload.
  • the above-mentioned target optimal efficiency and target workload calculation module can be configured to: if there is no third workload, calculate the difference between the minimum value of each second workload and the load adjustment target value; correspond to the minimum value of the difference
  • the second workload of the target workload is taken as the target workload; the second best efficiency corresponding to the target workload is taken as the target best efficiency.
  • the above-mentioned air conditioner unit operating module may be configured to control the actuators of the compressors based on the target optimal efficiency and the target workload, so that each compressor performs a cooling or heating operation.
  • the above-mentioned air-conditioning unit may be a water chiller or a heat pump unit.
  • An embodiment of the present disclosure also provides an electronic device, which is used to run the control method of the above-mentioned air-conditioning unit; referring to the schematic structural diagram of an electronic device shown in FIG. 8 , the electronic device may include a memory 100 and a processor 101, wherein, The memory 100 is used to store one or more computer instructions, and one or more computer instructions are executed by the processor 101 to implement the control method of the above-mentioned air conditioning unit.
  • the electronic device shown in FIG. 8 may also be configured to include a bus 102 and a communication interface 103 , and the processor 101 , the communication interface 103 and the memory 100 are connected through the bus 102 .
  • the memory 100 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
  • RAM Random Access Memory
  • non-volatile memory such as at least one disk memory.
  • the communication connection between the system network element and at least one other network element is realized through at least one communication interface 103 (which may be wired or wireless), and the Internet, wide area network, local network, metropolitan area network, etc. can be used.
  • the bus 102 may be an ISA bus, a PCI bus, or an EISA bus, etc.
  • the bus can be divided into address bus, data bus, control bus and so on. For ease of representation, only one double-headed arrow is used in FIG. 8 , but it does not mean that there is only one bus or one type of bus.
  • the processor 101 may be an integrated circuit chip with signal processing capability.
  • each step of the above method can be completed by an integrated logic circuit of hardware in the processor 101 or instructions in the form of software.
  • processor 101 can be general-purpose processor, comprises central processing unit (Central Processing Unit, be called for short CPU), network processor (Network Processor, be called for short NP) etc.; Can also be Digital Signal Processor (Digital Signal Processor, be called for short DSP) ), Application Specific Integrated Circuit (ASIC for short), Field Programmable Gate Array (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components.
  • CPU central processing unit
  • Network Processor Network Processor
  • NP Network Processor
  • ASIC Application Specific Integrated Circuit
  • FPGA Field Programmable Gate Array
  • a general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.
  • the steps of the method disclosed in the embodiments of the present disclosure may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register.
  • the storage medium is located in the memory 100, and the processor 101 reads the information in the memory 100, and completes the steps of the methods in the foregoing embodiments in combination with its hardware.
  • An embodiment of the present disclosure also provides a computer-readable storage medium, which can store computer-executable instructions.
  • the computer-executable instructions When invoked and executed by a processor, the computer-executable instructions cause the processor to
  • the control method of the above-mentioned air-conditioning unit reference may be made to the method embodiments for specific implementation, which will not be repeated here.
  • the computer program product of the air conditioning unit control method, device, and electronic equipment may include a computer-readable storage medium storing program codes, and the instructions included in the program codes may be used to execute the preceding method embodiments
  • the specific implementation of the method please refer to the method embodiment, which will not be repeated here.
  • connection should be interpreted in a broad sense, for example, it may be a fixed connection or a detachable connection , or integrally connected; it may be mechanically connected or electrically connected; it may be directly connected or indirectly connected through an intermediary, and it may be the internal communication of two components.
  • installation e.g., it may be a fixed connection or a detachable connection , or integrally connected; it may be mechanically connected or electrically connected; it may be directly connected or indirectly connected through an intermediary, and it may be the internal communication of two components.
  • the computer software product is stored in a storage medium, including several
  • the instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present disclosure.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc, etc., which can store program codes. .
  • the present disclosure provides a control method, device, electronic equipment and readable storage medium of an air conditioning unit.
  • the method includes: determining the load adjustment target value of the air conditioning unit; obtaining the operating condition parameters of each compressor, and calculating the first optimal efficiency and the first workload of each compressor based on the operating condition parameters; The first optimal efficiency and the first workload are cross-arranged and combined to obtain the second optimal efficiency and the second workload of the air conditioning unit; based on the load adjustment target value, the second optimal efficiency and the second Determine the target optimal efficiency and target workload in the workload; control the air conditioning unit to perform cooling or heating operation based on the target optimal efficiency and target workload.
  • the air conditioning unit to perform cooling or heating operation based on the target optimal efficiency and target workload.
  • control method, device, electronic device and readable storage medium of the air conditioning unit disclosed in the present disclosure are reproducible and can be applied in various applications.
  • control method, device, electronic equipment, and readable storage medium of the air conditioning unit disclosed in the present disclosure may be applied in the technical field of air conditioning and the like.

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Abstract

一种空调机组的控制方法、装置、电子设备和可读存储介质。其中，该方法包括：确定空调机组的负荷调节目标值；获取各个压缩机的运行工况参数，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量；对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量；基于负荷调节目标值从多个空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量；基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。

Description

空调机组的控制方法、装置、电子设备和可读存储介质
相关申请的交叉引用
本公开要求于2021年12月01日提交中国专利局的申请号为202111453483.7、名称为“空调机组的控制方法、装置和电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本公开涉及压缩机的技术领域，尤其是涉及一种空调机组的控制方法、装置、电子设备和可读存储介质。
背景技术
目前，行业内多压缩机冷水(热泵)机组一般采用多个型号或规格相同的空调机组成，这样设计可以使得机组对各压缩机的控制方法相对比较简单。典型的空调机组的控制方法是：对已经运行的压缩机(非全部压缩机)，按功率或电流相等的原则，近似的认为此时每个压缩机的制冷量和运行效率相同。当机组加载时，每个压缩机加载相同的功率或电流比例，直到已经运行的压缩机功率或电流满载后，再启动未运行的压缩机；同理，机组卸载时，每个压缩机均卸载(降低)相同的功率或电流，直到已经达到了压缩机的最低制冷量边界后，再关闭一台已经运行的压缩机。
然而，上述空调机组的控制方法存在两个明显的缺陷。第一，当冷水(热泵)机组所用的多个压缩机的型号规格不同时，原控制方法无法良好的进行每个压缩机的制冷量分配和压缩机运行台数增加减少的判断；第二，相关的控制方法虽然可以通过调整压缩机的运行参数，使得机组的制冷量满足用户水系统的要求，但是没有基于压缩机最佳效率原则，导致空调机组的能效较差。
发明内容
有鉴于此，本公开提供了一种空调机组的控制方法、装置、电子设备和可读存储介质，以至少适应空调机组中各个压缩机型号规格不同的情况，并且可以提高空调机组的能效。
本公开的一些实施例提供了一种空调机组的控制方法，应用于空调机组，空调机组可以包括多个压缩机，该控制方法可以包括：确定空调机组的负荷调节目标值；获取各个压缩机的运行工况参数，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量；其中，第一工作量的最大值表征压缩机在第一最佳效率下的最大制冷量或最大制热量；第一工作量的最小值表征压缩机在第一最佳效率下的最小制冷量或最小制热量；对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量；其中，第二工作量的最大值表征空调机组在第二最佳效率下的最大制冷量或最大 制热量；第二工作量的最小值表征空调机组在第一最佳效率下的最小制冷量或最小制热量；基于负荷调节目标值从空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量；基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。
在本申请的一些实施例中，上述空调机组可以包括：空调机组的控制器、多个压缩机、多个压缩机的传感器、多个压缩机的控制器和多个压缩机的执行器。
在本申请的一些实施例中，上述确定空调机组的负荷调节目标值的步骤可以包括：空调机组的控制器基于目标水温和当前水温的变化曲线确定空调机组的负荷调节目标值。
在本申请的一些实施例中，上述获取各个压缩机的运行工况参数的步骤可以包括：多个压缩机的传感器获取压缩机的运行工况参数。
在本申请的一些实施例中，上述压缩机的控制器可以预先存储有性能数据库；性能数据库可以包括压缩机的运行工况参数与压缩机的第一最佳效率和第一工作量的对应关系；上述基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量的步骤可以包括：将运行工况参数输入性能数据库中，输出压缩机的第一最佳效率和第一工作量。
在本申请的一些实施例中，上述对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量的步骤，可以包括：空调机组的控制器对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量。
在本申请的一些实施例中，上述基于负荷调节目标值空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量的步骤可以包括：从空调机组的第二最佳效率和第二工作量中确定第三最佳效率和第三工作量；其中，第三工作量的最小值小于负荷调节目标值，并且，负荷调节目标值小于第三工作量的最大值；将第三最佳效率的最大值作为目标最佳效率，并且，将目标最佳效率对应的第三工作量作为目标工作量。
在本申请的一些实施例中，上述第三最佳效率的最大值对应多个第三工作量；将目标最佳效率对应的第三工作量作为目标工作量的步骤可以包括：确定第三最佳效率的最大值对应的多个第三工作量对应的压缩机运行时间；将压缩机运行时间的最小值对应的第三工作量作为目标工作量。
在本申请的一些实施例中，上述基于负荷调节目标值从空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量的步骤可以包括：如果不存在第三工作量，计算各个第二工作量的最小值与负荷调节目标值的差值；将差值的最小值对应的第二工作量作为目标工作量；将目标工作量对应的第二最佳效率作为目标最佳效率。
在本申请的一些实施例中，上述基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作的步骤可以包括：基于目标最佳效率和目标工作量控制压缩机的执行器，以 使各个压缩机执行制冷或制热操作。
在本申请的一些实施例中，上述空调机组可以为冷水机组或热泵机组。
本公开的另一些实施例还提供一种空调机组的控制装置，应用于空调机组，空调机组可以包括多个压缩机，控制装置可以包括：负荷调节目标值确定模块，配置成用于确定空调机组的负荷调节目标值；第一最佳效率和第一工作量计算模块，配置成用于获取各个压缩机的运行工况参数，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量；其中，第一工作量的最大值表征压缩机在第一最佳效率下的最大制冷量或最大制热量；第一工作量的最小值表征压缩机在第一最佳效率下的最小制冷量或最小制热量；第二最佳效率和第二工作量计算模块，配置成用于对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量；其中，第二工作量的最大值表征空调机组在第二最佳效率下的最大制冷量或最大制热量；第二工作量的最小值表征空调机组在第一最佳效率下的最小制冷量或最小制热量；目标最佳效率和目标工作量计算模块，配置成用于基于负荷调节目标值从多个空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量；空调机组运行模块，配置成用于基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。
在本申请的一些实施例中，上述空调机组可以包括空调机组的控制器、多个压缩机、多个压缩机的传感器、多个压缩机的控制器和多个压缩机的执行器。
在本申请的一些实施例中，上述负荷调节目标值确定模块可以配置成用于：使空调机组的控制器基于目标水温和当前水温的变化曲线确定空调机组的负荷调节目标值。
在本申请的一些实施例中，上述第一最佳效率和第一工作量计算模块可以配置成用于：使多个压缩机的传感器获取压缩机的运行工况参数。
在本申请的一些实施例中，上述压缩机的控制器可以预先存储有性能数据库；上述性能数据库可以包括压缩机的运行工况参数与压缩机的第一最佳效率和第一工作量的对应关系；上述第一最佳效率和第一工作量计算模块可以配置成用于将运行工况参数输入性能数据库中，输出压缩机的第一最佳效率和第一工作量。
在本申请的一些实施例中，上述第二最佳效率和第二工作量计算模块可以配置成用于：使空调机组的控制器对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量。
在本申请的一些实施例中，上述目标最佳效率和目标工作量计算模块可以配置成用于从空调机组的第二最佳效率和第二工作量中确定第三最佳效率和第三工作量；其中，第三工作量的最小值小于负荷调节目标值，并且，负荷调节目标值小于第三工作量的最大值；将第三最佳效率的最大值作为目标最佳效率，并且，将目标最佳效率对应的第三工作量作 为目标工作量。
本公开的再一些实施例还提供了一种电子设备，该电子设备可以包括处理器和存储器，该存储器存储有能够被该处理器执行的计算机可执行指令，该处理器执行该计算机可执行指令以实现上述空调机组的控制方法。
本公开的又一些实施例还提供了一种计算机可读存储介质，该计算机可读存储介质可以存储有计算机可执行指令，该计算机可执行指令在被处理器调用和执行时，计算机可执行指令促使处理器实现上述空调机组的控制方法。
附图说明
为了更清楚地说明本公开具体实施方式或相关技术中的技术方案，下面将对具体实施方式或相关技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本公开的一些实施方式，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本公开一些实施例提供的一种双压缩机水冷冷水(热泵)机组系统的示意图；
图2为本公开一些实施例提供的一种空调机组的控制方法的流程图；
图3为本公开一些实施例提供的另一种空调机组的控制方法的流程图；
图4为本公开一些实施例提供的一种空调机组的控制系统原理的示意图；
图5为本公开一些实施例提供的一种空调机组的控制方法的逻辑示意图；
图6为本公开一些实施例提供的一种压缩机性能数据库和运算原理的示意图；
图7为本公开一些实施例提供的一种空调机组的控制装置的结构示意图；
图8为本公开一些实施例提供的一种电子设备的结构示意图。
具体实施方式
为使本公开实施例的目的、技术方案和优点更加清楚，下面将结合附图对本公开的技术方案进行清楚、完整地描述，显然，所描述的实施例是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
目前，参见图1所示的一种双压缩机水冷冷水(热泵)机组系统的示意图，行业内多压缩机冷水(热泵)机组一般采用多个型号或规格相同的空调机组成(即图1中的压缩机1和压缩机2采用相同的型号或规格)，这样设计可以使得机组对各压缩机的控制方法相对比较简单。行业内典型的空调机组的控制方法是：对已经运行的压缩机(非全部压缩机)，按功率或电流相等的原则，近似的认为此时每个压缩机的制冷量和运行效率相同。当机组加载时，每个压缩机加载相同的功率或电流比例，直到已经运行的压缩机功率或电流满载 后，再启动未运行的压缩机；同理，机组卸载时，每个压缩机均卸载(降低)相同的功率或电流，直到已经达到了压缩机的最低制冷量边界后，再关闭一台已经运行的压缩机。
然而，上述相关的空调机组的控制方法存在两个明显的缺陷。第一，当冷水(热泵)机组所用的多个压缩机的型号规格不同时，原控制方法无法良好的进行每个压缩机的制冷量分配和压缩机运行台数增加减少的判断；第二，相关的控制方法虽然可以通过调整压缩机的运行参数，使得机组的制冷量满足用户水系统的要求，但是没有基于压缩机最佳效率原则，导致空调机组的能效较差。基于此，本公开实施例提供一种空调机组的控制方法、装置、电子设备和可读存储介质，具体涉及一种多压缩机冷水(热泵)机组的能效最优控制方法。
为便于对本实施例进行理解，首先对本公开实施例所公开的一种空调机组的控制方法进行详细介绍。
下面将参照附图对根据本公开的实施例所提供的空调机组的控制方法进行详细地描述。
本公开实施例提供一种空调机组的控制方法，应用于空调机组，空调机组可以包括多个压缩机，参见图2所示的一种空调机组的控制方法的流程图，该空调机组的控制方法可以包括如下步骤：
步骤S202，确定空调机组的负荷调节目标值。
本公开实施例提供中的空调机组可以包含多个压缩机，其中，上述压缩机可以为相同的型号或规格，也可以为不同的型号和规格。上述压缩机可以用于制冷或制热，对应的，上述空调机组可以为冷水机组或热泵机组。
其中，空调机组的负荷调节目标值可以理解为用户想要空调机组工作产生的制冷量或者制热量。用户可以输入目标水温，可以基于用户输入的目标水温计算空调机组的负荷调节目标值。
步骤S204，获取各个压缩机的运行工况参数，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量。
其中，压缩机的运行工况参数可以包括压缩机的温度、湿度、电流等参数。第一工作量的最大值表征压缩机在第一最佳效率下的最大制冷量或最大制热量；第一工作量的最小值表征压缩机在第一最佳效率下的最小制冷量或最小制热量。
步骤S206，对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量。
其中，第二工作量的最大值表征空调机组在第二最佳效率下的最大制冷量或最大制热量；第二工作量的最小值表征空调机组在第一最佳效率下的最小制冷量或最小制热量。
在确定各个压缩机的第一最佳效率和第一工作量之后，可以对各个压缩机的第一最佳效率和第一工作量进行多种方式的排列组合，从而得到空调机组的第二最佳效率和第二工作量。
步骤S208，基于负荷调节目标值从空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量。
根据一定的筛选规则，可以基于负荷调节目标值从多个空调机组的第二最佳效率和第二工作量中确定一个最佳的最佳效率和工作量，称为目标最佳效率和目标工作量。其中，上述筛选规则可以基于压缩机最佳效率原则设定，从而进行多压缩机制冷量分配和压缩机数量加减的控制策略，压缩机可以处于最佳效率，空调机组可以处于最优能效。
步骤S210，基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。
确定目标最佳效率和目标工作量之后，可以根据目标最佳效率和目标工作量控制空调机组中的压缩机运行或关闭，以控制空调机组执行制冷或制热操作。
本公开实施例提供的一种空调机组的控制方法、装置、电子设备和可读存储介质，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量，基于各个压缩机的第一最佳效率和第一工作量确定空调机组的第二最佳效率和第二工作量，从第二最佳效率和第二工作量中确定目标最佳效率和目标工作量，并且，基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。
下面将参照附图对根据本公开的实施例所提供的另一种空调机组的控制方法进行详细地描述。
本实施例提供了另一种空调机组的控制方法，该方法在上述实施例的基础上实现，重点描述基于负荷调节目标值从多个空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量的具体实施步骤。如图3所示的另一种空调机组的控制方法的流程图，本实施例中的空调机组的控制方法包括如下步骤：
步骤S302，确定空调机组的负荷调节目标值。
可选地，上述空调机组可以包括：空调机组的控制器(也可以称为机组控制器)、多个压缩机、多个压缩机的传感器、多个压缩机的控制器和多个压缩机的执行器。参见图4所示的一种空调机组的控制系统原理的示意图，图4中的空调机组包含n个压缩机，每个压缩机对应有控制器、执行器和传感器，并且，空调机组的控制器与n个的压缩机的控制器均通信连接。
其中，1～n#压缩机的传感器可以采集压力、温度、电流等参数，1～n#压缩机的执行器可以进行压缩机容量调节和转速调节等。1～n#压缩机的控制器内分别存储了对应压缩机在不同运行工况下，制冷(制热)量与效率和执行器动作参数的数据库或数学模型(函数、 方程、关联式等)。
此外，如果压缩机型号和规格相同或压缩机数量较少时，可能省略压缩机控制器，而替代性的将压缩机控制器的功能、软件、数据库、与压缩机传感器和执行器的联接关系全部集成到机组控制器中。此外，还可以将机组控制器的功能、软件、数据库、与机组传感器和执行器的联接关系全部集成到压缩机控制器中，从而省略机组控制器。
可选地，空调机组的控制器可以基于目标水温和当前水温的变化曲线确定空调机组的负荷调节目标值。
参见图5所示的一种空调机组的控制方法的逻辑示意图，机组控制器可以根据用户设定的目标水温和当前实际水温的变化曲线，运算得出机组制冷(制热)的负荷调节目标值。
步骤S304，获取各个压缩机的运行工况参数，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量。
可选地，多个压缩机的传感器可以获取压缩机的运行工况参数。压缩机的控制器可以将运行工况参数输入性能数据库中，输出压缩机的第一最佳效率和第一工作量。
如图5所示，1～n#压缩机的控制器通过对应的传感器和执行器采集的参数，运算得出压缩机运行工况参数。由于压缩机的控制器预先存储有性能数据库，基于将压缩机实际运行工况参数作为输入，根据压缩机控制器内的性能数据库，运算得出此压缩机的最佳效率和最佳效率下的最大和最小制冷(制热)量，即第一最佳效率和第一工作量。
其中，参见图6所示的一种压缩机性能数据库和运算原理的示意图，如图6所示，在第一工作量的最大值和最小值的边界内，压缩机可以以最佳效率运行。
步骤S306，对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量。
可选地，空调机组的控制器可以对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量。
如图5所示，机组控制器收到各压缩机控制器上传的最佳效率和最佳效率下的最大和最小制冷(制热)量后，进行压缩机运行台数不同和运行序号不同的交叉排列组合运算，得出多种压缩机运行组合时的机组最佳效率和机组最佳效率下的最大和最小制冷(制热)量。
其中，上述交叉排列组合可以为加权计算，例如：1号压缩机的第一最佳效率为85％，第一工作量为500-700，权重是600；2号压缩机的第一最佳效率为83％，第一工作量为200-4700，权重是300，可以得到空调机组的第二最佳效率＝(85％×600+83％×300)/900＝84.33％，第二工作量的最小值＝(500×600+200×300)/900＝400，第二工作量的最大值＝(500×700+200×2700)/900＝988.89。
步骤S308，从空调机组的第二最佳效率和第二工作量中确定第三最佳效率和第三工作量；其中，第三工作量的最小值小于负荷调节目标值，并且，负荷调节目标值小于第三工作量的最大值。
步骤S310，将第三最佳效率的最大值作为目标最佳效率，并且，将目标最佳效率对应的第三工作量作为目标工作量。
本公开实施例可以提供多级筛选目标工作量的方式，第一级条件筛选：仅保留“机组最佳效率下最小制冷(制热)量＜机组负荷调节目标值＜机组最佳效率下的最大制冷(制热)量”的压缩机运行组合(即第三最佳效率和第三工作量)，然后按机组最佳效率值从高到底进行排序，效率最高的即为机组能效最优控制方法的最优解。
如果第一级条件筛选的最优解不唯一(即第三最佳效率的最大值对应多个第三工作量)，可以执行下述步骤进行第二级条件筛选：确定第三最佳效率的最大值对应的多个第三工作量对应的压缩机运行时间；将压缩机运行时间的最小值对应的第三工作量作为目标工作量。当最优解在2个及以上时，筛选条件为“压缩机已经运行时长最少”的运行组合，从而保证各压缩机寿命均衡。
如果第一级条件筛选的最优解为0(即不存在第三工作量)，可以执行下述步骤进行第二级条件筛选：如果不存在第三工作量，计算各个第二工作量的最小值与负荷调节目标值的差值；将差值的最小值对应的第二工作量作为目标工作量；将目标工作量对应的第二最佳效率作为目标最佳效率。
当最优解为0时，为了保证用户的制冷(制热)量需求，按“机组负荷调节目标值＜机组最佳效率下最小制冷(制热)量”，且“机组最佳效率下最小制冷(制热)量—机组负荷调节的总体目标值＝最小min”的运行组合。
步骤S312，基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。
可选地，可以基于目标最佳效率和目标工作量控制压缩机的执行器，以使各个压缩机执行制冷或制热操作。
一般来说，当压缩机在其最佳效率区间运行时，压缩机也就运行在其可靠性和安全性较好的区域，因此，提高了机组的稳定性，降低了压缩机故障的风险。因此，本公开实施例提供的控制方法不仅能够提高机组的运行能效，实现节能减排，而且还提高了机组的稳定性，降低了压缩机故障的风险。
本公开实施例提供的上述方法，可以使多压缩机冷水(热泵)机组，不论所用的多个压缩机的型号规格和性能特性相同是否相同，均能良好地计算和分配各压缩机所应该达到的制冷量，且能够进行压缩机运行台数的增加和减少的控制。
本公开实施例提供的上述方法，能够根据各个压缩机的实际运行工况，在满足用户制 冷(制热)量需求的前提下，进行多压缩机最佳效率运行排列组合的运算并寻求最佳解，从而使得多压缩机冷水(热泵)机组在负荷调节时能够运行在最佳能效状态，从而节省机组电耗，实现建筑节能减排。
当压缩机在其最佳效率区间运行时，压缩机也就运行在其可靠性和安全性较好的区域，因此，本公开实施例提供的上述方法提高了机组的稳定性，降低了压缩机故障的风险。
下面将参照附图对根据本公开的实施例所提供的空调机组的控制装置进行详细地描述。
对应于上述方法实施例，本公开实施例提供了一种空调机组的控制装置，参见图7所示的一种空调机组的控制装置的结构示意图，应用于空调机组，空调机组可以包括多个压缩机，该空调机组的控制装置可以包括：
负荷调节目标值确定模块71，配置成用于确定空调机组的负荷调节目标值；
第一最佳效率和第一工作量计算模块72，配置成用于获取各个压缩机的运行工况参数，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量；其中，第一工作量的最大值表征压缩机在第一最佳效率下的最大制冷量或最大制热量；第一工作量的最小值表征压缩机在第一最佳效率下的最小制冷量或最小制热量；
第二最佳效率和第二工作量计算模块73，配置成用于对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量；其中，第二工作量的最大值表征空调机组在第二最佳效率下的最大制冷量或最大制热量；第二工作量的最小值表征空调机组在第一最佳效率下的最小制冷量或最小制热量；
目标最佳效率和目标工作量计算模块74，配置成用于基于负荷调节目标值从多个空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量；
空调机组运行模块75，配置成用于基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。
本公开实施例提供的一种空调机组的控制装置，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量，对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量，从第二最佳效率和第二工作量中确定目标最佳效率和目标工作量，并且，基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。
该方式中，无论空调机组中的多个压缩机的型号规格和性能特性相同是否相同，均能良好地计算和分配各压缩机所应该达到的制冷量或制热量，且能够进行压缩机运行台数的增加和减少的控制。并且，能够根据各个压缩机的实际运行工况，在满足用户制冷量或制热量需求的前提下，进行多压缩机最佳效率的运行排列组合的运算并寻求最佳解，从而使 得多空调机组在负荷调节时能够运行在最佳能效状态，从而节省机组电耗，实现建筑节能减排。
上述空调机组可以包括：空调机组的控制器、多个压缩机、多个压缩机的传感器、多个压缩机的控制器和多个压缩机的执行器。
上述负荷调节目标值确定模块可以配置成用于空调机组的控制器基于目标水温和当前水温的变化曲线确定空调机组的负荷调节目标值。
上述第一最佳效率和第一工作量计算模块可以配置成用于多个压缩机的传感器获取压缩机的运行工况参数。
上述压缩机的控制器可以预先存储有性能数据库；性能数据库可以包括压缩机的运行工况参数与压缩机的第一最佳效率和第一工作量的对应关系；上述第一最佳效率和第一工作量计算模块可以配置成用于将运行工况参数输入性能数据库中，输出压缩机的第一最佳效率和第一工作量。
上述第二最佳效率和第二工作量计算模块可以配置成用于空调机组的控制器对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量。
上述目标最佳效率和目标工作量计算模块可以配置成用于空调机组的第二最佳效率和第二工作量中确定第三最佳效率和第三工作量；其中，第三工作量的最小值小于负荷调节目标值，并且，负荷调节目标值小于第三工作量的最大值；将第三最佳效率的最大值作为目标最佳效率，并且，将目标最佳效率对应的第三工作量作为目标工作量。
上述第三最佳效率的最大值可以对应多个第三工作量；上述目标最佳效率和目标工作量计算模块可以配置成用于确定第三最佳效率的最大值对应的多个第三工作量对应的压缩机运行时间；将压缩机运行时间的最小值对应的第三工作量作为目标工作量。
上述目标最佳效率和目标工作量计算模块可以配置成用于：如果不存在第三工作量，计算各个第二工作量的最小值与负荷调节目标值的差值；将差值的最小值对应的第二工作量作为目标工作量；将目标工作量对应的第二最佳效率作为目标最佳效率。
上述空调机组运行模块可以配置成用于基于目标最佳效率和目标工作量控制压缩机的执行器，以使各个压缩机执行制冷或制热操作。
上述空调机组可以为冷水机组或热泵机组。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的空调机组的控制装置的具体工作过程，可以参考前述的空调机组的控制方法的实施例中的对应过程，在此不再赘述。
下面将参照附图对根据本公开的实施例所提供的电子设备进行详细地描述。
本公开实施例还提供了一种电子设备，用于运行上述空调机组的控制方法；参见图8所示的一种电子设备的结构示意图，该电子设备可以包括存储器100和处理器101，其中，存储器100用于存储一条或多条计算机指令，一条或多条计算机指令被处理器101执行，以实现上述空调机组的控制方法。
可选地，图8所示的电子设备还可以配置成包括总线102和通信接口103，处理器101、通信接口103和存储器100通过总线102连接。
其中，存储器100可能包含高速随机存取存储器(RAM，Random Access Memory)，也可能还包括非不稳定的存储器(non-volatile memory)，例如至少一个磁盘存储器。通过至少一个通信接口103(可以是有线或者无线)实现该系统网元与至少一个其他网元之间的通信连接，可以使用互联网，广域网，本地网，城域网等。总线102可以是ISA总线、PCI总线或EISA总线等。总线可以分为地址总线、数据总线、控制总线等。为便于表示，图8中仅用一个双向箭头表示，但并不表示仅有一根总线或一种类型的总线。
处理器101可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器101中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器101可以是通用处理器，包括中央处理器(Central Processing Unit，简称CPU)、网络处理器(Network Processor，简称NP)等；还可以是数字信号处理器(Digital Signal Processor，简称DSP)、专用集成电路(Application Specific Integrated Circuit，简称ASIC)、现场可编程门阵列(Field-Programmable Gate Array，简称FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本公开实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本公开实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器100，处理器101读取存储器100中的信息，结合其硬件完成前述实施例的方法的步骤。
本公开实施例还提供了一种计算机可读存储介质，该计算机可读存储介质可以存储有计算机可执行指令，该计算机可执行指令在被处理器调用和执行时，计算机可执行指令促使处理器实现上述空调机组的控制方法，具体实现可参见方法实施例，在此不再赘述。
本公开实施例所提供的空调机组的控制方法、装置和电子设备的计算机程序产品，计算机程序产品可以包括存储了程序代码的计算机可读存储介质，程序代码包括的指令可用于执行前面方法实施例中的方法，具体实现可参见方法实施例，在此不再赘述。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统和/或 装置的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
另外，在本公开实施例的描述中，除非另有明确的规定和限定，术语“安装”、“相连”、“连接”应做广义理解，例如，可以是固定连接，也可以是可拆卸连接，或一体地连接；可以是机械连接，也可以是电连接；可以是直接相连，也可以通过中间媒介间接相连，可以是两个元件内部的连通。对于本领域的普通技术人员而言，可以具体情况理解上述术语在本公开中的具体含义。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开的技术方案本质上或者说对相关技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本公开各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
在本公开的描述中，需要说明的是，术语“中心”、“上”、“下”、“左”、“右”、“竖直”、“水平”、“内”、“外”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本公开和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本公开的限制。此外，术语“第一”、“第二”、“第三”仅用于描述目的，而不能理解为指示或暗示相对重要性。
最后应说明的是：以上所述实施例，仅为本公开的具体实施方式，用以说明本公开的技术方案，而非对其限制，本公开的保护范围并不局限于此，尽管参照前述实施例对本公开进行了详细的说明，本领域的普通技术人员应当理解：任何熟悉本技术领域的技术人员在本公开揭露的技术范围内，其依然可以对前述实施例所记载的技术方案进行修改或可轻易想到变化，或者对其中部分技术特征进行等同替换；而这些修改、变化或者替换，并不使相应技术方案的本质脱离本公开实施例技术方案的精神和范围，都应涵盖在本公开的保护范围之内。因此，本公开的保护范围应所述以权利要求的保护范围为准。
工业实用性
本公开提供了一种空调机组的控制方法、装置、电子设备和可读存储介质。其中，该方法包括：确定空调机组的负荷调节目标值；获取各个压缩机的运行工况参数，基于运行工况参数计算各个压缩机的第一最佳效率和第一工作量；对各个压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到空调机组的第二最佳效率和第二工作量；基于负荷调节目标值从多个空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作 量；基于目标最佳效率和目标工作量控制空调机组执行制冷或制热操作。该方式中，可以以适应空调机组中各个压缩机型号规格不同的情况，并且可以提高空调机组的能效。
此外，可以理解的是，本公开的空调机组的控制方法、装置、电子设备和可读存储介质是可以重现的，并且可以应用在多种应用中。例如，本公开的空调机组的控制方法、装置、电子设备和可读存储介质可以应用于空调技术领域等。

Claims (20)

  1. 一种空调机组的控制方法，其中，所述控制方法应用于空调机组，所述空调机组包括多个压缩机，所述控制方法包括：
    确定所述空调机组的负荷调节目标值；
    获取各个所述压缩机的运行工况参数，基于所述运行工况参数计算各个所述压缩机的第一最佳效率和第一工作量；其中，所述第一工作量的最大值表征所述压缩机在所述第一最佳效率下的最大制冷量或最大制热量；所述第一工作量的最小值表征所述压缩机在所述第一最佳效率下的最小制冷量或最小制热量；
    对各个所述压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到所述空调机组的第二最佳效率和第二工作量；其中，所述第二工作量的最大值表征所述空调机组在所述第二最佳效率下的最大制冷量或最大制热量；所述第二工作量的最小值表征所述空调机组在所述第一最佳效率下的最小制冷量或最小制热量；
    基于所述负荷调节目标值从所述空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量；
    基于所述目标最佳效率和所述目标工作量控制所述空调机组执行制冷或制热操作。
  2. 根据权利要求1所述的控制方法，其中，所述空调机组包括所述空调机组的控制器、多个所述压缩机、多个所述压缩机的传感器、多个所述压缩机的控制器和多个所述压缩机的执行器。
  3. 根据权利要求2所述的控制方法，其中，确定所述空调机组的负荷调节目标值的步骤包括：
    所述空调机组的控制器基于目标水温和当前水温的变化曲线确定所述空调机组的负荷调节目标值。
  4. 根据权利要求2或3所述的控制方法，其中，获取各个所述压缩机的运行工况参数的步骤包括：
    多个所述压缩机的传感器获取所述压缩机的运行工况参数。
  5. 根据权利要求2至4中的任一项所述的控制方法，其中，所述压缩机的控制器预先存储有性能数据库；所述性能数据库包括所述压缩机的运行工况参数与所述压缩机的第一最佳效率和第一工作量的对应关系；
    基于所述运行工况参数计算各个所述压缩机的第一最佳效率和第一工作量的步骤包括：将所述运行工况参数输入所述性能数据库中，输出所述压缩机的第一最佳效率 和第一工作量。
  6. 根据权利要求2至5中的任一项所述的控制方法，其中，对各个所述压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到所述空调机组的第二最佳效率和第二工作量的步骤，包括：
    所述空调机组的控制器对各个所述压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到所述空调机组的第二最佳效率和第二工作量。
  7. 根据权利要求1至6中的任一项所述的控制方法，其中，基于所述负荷调节目标值从所述空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量的步骤包括：
    从所述空调机组的第二最佳效率和第二工作量中确定第三最佳效率和第三工作量；其中，所述第三工作量的最小值小于所述负荷调节目标值，并且，所述负荷调节目标值小于所述第三工作量的最大值；
    将所述第三最佳效率的最大值作为目标最佳效率，并且，将所述目标最佳效率对应的第三工作量作为目标工作量。
  8. 根据权利要求7所述的控制方法，其中，所述第三最佳效率的最大值对应多个第三工作量；将所述目标最佳效率对应的第三工作量作为目标工作量的步骤包括：
    确定所述第三最佳效率的最大值对应的多个第三工作量对应的压缩机运行时间；
    将所述压缩机运行时间的最小值对应的第三工作量作为目标工作量。
  9. 根据权利要求7所述的控制方法，其中，基于所述负荷调节目标值从所述空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量的步骤包括：
    如果不存在所述第三工作量，计算各个所述第二工作量的最小值与所述负荷调节目标值的差值；
    将所述差值的最小值对应的第二工作量作为目标工作量；
    将所述目标工作量对应的第二最佳效率作为目标最佳效率。
  10. 根据权利要求2至9中的任一项所述的控制方法，其中，基于所述目标最佳效率和所述目标工作量控制所述空调机组执行制冷或制热操作的步骤包括：
    基于所述目标最佳效率和所述目标工作量控制所述压缩机的执行器，以使各个所述压缩机执行制冷或制热操作。
  11. 根据权利要求1至10中的任一项所述的控制方法，其中，所述空调机组为冷水机组或热泵机组。
  12. 一种空调机组的控制装置，其中，所述控制装置应用于空调机组，所述空调机组包括多个压缩机，所述控制装置包括：
    负荷调节目标值确定模块，配置成用于确定所述空调机组的负荷调节目标值；
    第一最佳效率和第一工作量计算模块，配置成用于获取各个所述压缩机的运行工况参数，基于所述运行工况参数计算各个所述压缩机的第一最佳效率和第一工作量；其中，所述第一工作量的最大值表征所述压缩机在所述第一最佳效率下的最大制冷量或最大制热量；所述第一工作量的最小值表征所述压缩机在所述第一最佳效率下的最小制冷量或最小制热量；
    第二最佳效率和第二工作量计算模块，配置成用于对各个所述压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到所述空调机组的第二最佳效率和第二工作量；其中，所述第二工作量的最大值表征所述空调机组在所述第二最佳效率下的最大制冷量或最大制热量；所述第二工作量的最小值表征所述空调机组在所述第一最佳效率下的最小制冷量或最小制热量；
    目标最佳效率和目标工作量计算模块，配置成用于基于所述负荷调节目标值从所述空调机组的第二最佳效率和第二工作量中确定目标最佳效率和目标工作量；
    空调机组运行模块，配置成用于基于所述目标最佳效率和所述目标工作量控制所述空调机组执行制冷或制热操作。
  13. 根据权利要求12所述的控制装置，其中，所述空调机组包括所述空调机组的控制器、多个所述压缩机、多个所述压缩机的传感器、多个所述压缩机的控制器和多个所述压缩机的执行器。
  14. 根据权利要求13所述的控制装置，其中，所述负荷调节目标值确定模块配置成用于：使所述空调机组的控制器基于目标水温和当前水温的变化曲线确定所述空调机组的负荷调节目标值。
  15. 根据权利要求13或14所述的控制装置，其中，所述第一最佳效率和第一工作量计算模块配置成用于：使多个所述压缩机的传感器获取所述压缩机的运行工况参数。
  16. 根据权利要求13至15中的任一项所述的控制装置，其中，所述压缩机的控制器预先存储有性能数据库；所述性能数据库包括所述压缩机的运行工况参数与所述压缩机的第一最佳效率和第一工作量的对应关系；所述第一最佳效率和第一工作量计算模块配置成用于将所述运行工况参数输入所述性能数据库中，输出所述压缩机的第一最佳效率和第一工作量。
  17. 根据权利要求13至16中的任一项所述的控制装置，其中，所述第二最佳效率和第二工作量计算模块配置成用于：使所述空调机组的控制器对各个所述压缩机的第一最佳效率和第一工作量交叉排列组合计算，得到所述空调机组的第二最佳效率和第二工作量。
  18. 根据权利要求13至17中的任一项所述的控制装置，其中，所述目标最佳效率 和目标工作量计算模块配置成用于从所述空调机组的第二最佳效率和第二工作量中确定第三最佳效率和第三工作量；其中，所述第三工作量的最小值小于所述负荷调节目标值，并且，所述负荷调节目标值小于所述第三工作量的最大值；将所述第三最佳效率的最大值作为目标最佳效率，并且，将所述目标最佳效率对应的第三工作量作为目标工作量。
  19. 一种电子设备，其中，包括处理器和存储器，所述存储器存储有能够被所述处理器执行的计算机可执行指令，所述处理器执行所述计算机可执行指令以实现权利要求1至11中的任一项所述的空调机组的控制方法。
  20. 一种计算机可读存储介质，其中，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令在被处理器调用和执行时，计算机可执行指令促使处理器实现权利要求1至11中的任一项所述的空调机组的控制方法。
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