CN115127197B - Method and device for determining operation strategy of refrigerator, electronic equipment and storage medium - Google Patents
Method and device for determining operation strategy of refrigerator, electronic equipment and storage medium Download PDFInfo
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- CN115127197B CN115127197B CN202210587732.XA CN202210587732A CN115127197B CN 115127197 B CN115127197 B CN 115127197B CN 202210587732 A CN202210587732 A CN 202210587732A CN 115127197 B CN115127197 B CN 115127197B
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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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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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
- F24F11/62—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
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
- F24F2110/22—Humidity of the outside air
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- 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
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- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a method and a device for determining a refrigerator operation strategy, electronic equipment and a storage medium. The method comprises the following steps: acquiring data at the current moment and data at the next preset moment; determining the initial required cold quantity within the preset time length according to the current time data, the next preset time data and the preset time length; the preset duration is longer than the time interval between the next preset time and the current time; determining the rated cooling capacity of the cold machine started at the current moment according to the set value of the outlet water temperature of the cold machine at the current moment and a preset cooling capacity meter; the preset cold quantity meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity; determining target required cold capacity within preset time according to the initial required cold capacity, the rated cold supply capacity of the cold machine started at the current moment and the actual cold capacity of the cold machine started at the current moment; and determining a cold machine operation strategy at the next preset moment according to the target required cold quantity. The scheme can accurately determine the operation strategy of the cold machine at the next preset moment, and avoid the condition of energy consumption waste of the cold machine.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a method and a device for determining a refrigerator operation strategy, electronic equipment and a storage medium.
Background
At present, the operation modes of the cold station are mainly two types: 1. manual operation; the method mainly depends on the experience accumulation of operators to start the cold station equipment, wherein the cold station operation parameters need to be roughly set according to the conditions such as whether weather/tenants report heat and the like; 2. running a group control system; the equipment at the initial stage of cold station construction is provided with an installation group control system, the switching mode is to set the threshold value of the load factor of the equipment so as to carry out judgment of plus-minus machine logic, the consumption is relatively high, the cold station equipment can only be roughly controlled to be switched on according to the running condition of a unit, and the problem of automatic control aging and damage of the group control system occurs along with the time.
The cold station intelligent control is used as a technology of combining artificial intelligence with a networking push strategy, and can utilize the artificial intelligence to predict a more energy-saving strategy in time according to a plurality of acquired parameters of the internet of things. Especially during the cooling season, the situation that the on-site operator cannot timely adjust the operation of the refrigerator according to the change of the passenger flow, the outdoor weather and the indoor temperature between 11 am and 20 pm.
Disclosure of Invention
The invention provides a method and a device for determining a refrigerator operation strategy, electronic equipment and a storage medium, which can accurately determine the refrigerator operation strategy at the next preset moment and effectively avoid the situation of energy consumption waste of a refrigerator.
According to an aspect of the present invention, there is provided a method for determining a cooling machine operation strategy, including:
acquiring data at the current moment and data at the next preset moment; the current moment data comprise the indoor temperature at the current moment and the energy consumption of the starting cooler at the current moment, and the next preset moment data comprise the outdoor temperature at the next preset moment, the outdoor humidity at the next preset moment and the target control temperature at the next preset moment;
determining the initial required cold quantity within the preset time according to the current time data, the next preset time data and the preset time; the preset duration is longer than the time interval between the next preset time and the current time;
determining the rated cooling capacity of the refrigerator started at the current moment according to the set value of the outlet water temperature of the refrigerator at the current moment and a preset cooling capacity meter; the preset cold quantity meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity;
determining target required cold energy within the preset time length according to the initial required cold energy, the rated cold supply amount of the cold machine started at the current moment and the actual cold amount of the cold machine started at the current moment;
and determining the cold machine operation strategy at the next preset moment according to the target required cold quantity.
According to another aspect of the present invention, there is provided a cooling machine operation strategy determination apparatus, including:
the data acquisition module is used for acquiring data at the current moment and data at the next preset moment; the current time data comprise the indoor temperature at the current time and the energy consumption of the starting cooler at the current time, and the next preset time data comprise the outdoor temperature at the next preset time, the outdoor humidity at the next preset time and the target control temperature at the next preset time;
the initial required cold quantity determining module is used for determining the initial required cold quantity within the preset time length according to the current time data, the next preset time data and the preset time length; the preset duration is longer than the time interval between the next preset time and the current time;
the rated cooling capacity determining module is used for determining the rated cooling capacity of the started refrigerator at the current moment according to the set value of the outlet water temperature of the refrigerator at the current moment and a preset cooling capacity meter; the preset cold quantity meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity;
the target required cold quantity determining module is used for determining the target required cold quantity within the preset time length according to the initial required cold quantity, the rated cold supply quantity of the cold machine started at the current moment and the actual cold quantity of the cold machine started at the current moment;
and the cold machine operation strategy determining module is used for determining the cold machine operation strategy at the next preset moment according to the target required cold quantity.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the method for operating policy of a chiller according to any embodiment of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement a chiller operation policy method according to any embodiment of the present invention when the computer instructions are executed.
According to the scheme for determining the operation strategy of the refrigerator, the data at the current moment and the data at the next preset moment are obtained; the current time data comprise the indoor temperature at the current time and the energy consumption of the starting cooler at the current time, and the next preset time data comprise the outdoor temperature at the next preset time, the outdoor humidity at the next preset time and the target control temperature at the next preset time; determining the initial required cold quantity within the preset time according to the current time data, the next preset time data and the preset time; the preset duration is longer than the time interval between the next preset time and the current time; determining the rated cooling capacity of the refrigerator started at the current moment according to the set value of the outlet water temperature of the refrigerator at the current moment and a preset cooling capacity meter; the preset cold quantity meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity; determining the target required cold quantity within the preset time according to the initial required cold quantity, the rated cold supply quantity of the cold machine started at the current moment and the actual cold quantity of the cold machine started at the current moment; and determining the cold machine operation strategy at the next preset moment according to the target required cold quantity. By the technical scheme provided by the embodiment of the invention, the operation strategy of the refrigerator at the next preset moment can be accurately determined, and the condition of energy consumption waste of the refrigerator can be effectively avoided on the premise of ensuring the indoor environment quality.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining a cooling machine operation policy according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a cooling machine operation strategy determining apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device implementing the method for determining a cooling machine operation policy according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a method for determining a cooling machine operation policy according to an embodiment of the present invention, where the embodiment is applicable to a case where a cooling machine operation policy at a next preset time is determined, and the method may be implemented by a cooling machine operation policy determining device, where the cooling machine operation policy determining device may be implemented in a form of hardware and/or software, and the cooling machine operation policy determining device may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, acquiring data of the current moment and data of the next preset moment; the current moment data comprise the indoor temperature at the current moment and the energy consumption of the starting cooler at the current moment, and the next preset moment data comprise the outdoor temperature at the next preset moment, the outdoor humidity at the next preset moment and the target control temperature at the next preset moment.
The current time refers to a current time point, and the next preset time can be understood as a certain preset time in the future after the current time. For example, the current time is 11 o ' clock, the next preset time may be 11 o ' clock or half clock, or 12 o ' clock, and it should be noted that the length of the time interval between the current time and the next preset time is not limited in the embodiment of the present invention.
In the embodiment of the invention, the indoor temperature at the current moment and the energy consumption of the starting cooler at the current moment can be obtained through the Internet of things system; the outdoor temperature at the next preset time and the outdoor temperature at the next preset time can be obtained through the weather forecast service. The target temperature at the next preset time may be a temperature input by the user, wherein the target temperature at the next preset time may be a specific temperature range.
S120, determining the initial required cold quantity within the preset time according to the current time data, the next preset time data and the preset time; and the preset duration is greater than the time interval between the next preset time and the current time.
The preset duration can be a duration set by a user, and is greater than the time interval between the next preset time and the current time. For example, the current time is 11 o 'clock, the next preset time is 11 o' clock and half, and the preset time duration may be 1 hour or 2 hours. Wherein the preset time period can be expressed in minutes.
In the embodiment of the invention, the initial required cold quantity within the preset time is determined according to the indoor temperature at the current time, the energy consumption of the starting cold machine at the current time, the outdoor temperature at the next preset time, the outdoor humidity at the next preset time, the target control temperature at the next preset time and the preset time. For example, the initial required cooling capacity corresponding to the current time data, the next preset time data and the preset time duration may be determined according to the preset corresponding relationship between the current time data, the next preset time data, the preset time duration and the required cooling capacity.
Optionally, determining the initial required cooling capacity within the preset time period according to the current time data, the next preset time data and the preset time period, where the determining includes: and inputting the current time data, the next preset time data and preset time into a cold capacity prediction model trained in advance, and determining the initial required cold capacity within the preset time according to the output result of the cold capacity prediction model. The cold capacity prediction model is a machine learning model capable of accurately determining the cold capacity required within the preset time. In the embodiment of the invention, the cold prediction model can be a model generated based on long-short term memory algorithm (LSTM) training, can also be a convolutional neural network model, and can also be other machine learning models. Specifically, the indoor temperature at the current moment, the energy consumption of the starting cooler at the current moment, the outdoor temperature at the next preset moment, the outdoor humidity at the next preset moment, the target control temperature at the next preset moment and the preset time are input into a cold quantity prediction model, the cold quantity prediction model analyzes the received data, the required cold quantity within the preset time is determined according to the analysis result, and the required cold quantity output by the cold quantity prediction model is used as the initial required cold quantity.
S130, determining the rated cooling capacity of the refrigerator started at the current moment according to the set value of the outlet water temperature of the refrigerator at the current moment and a preset cooling capacity meter; and the preset cold quantity meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity.
In the embodiment of the invention, the set value of the outlet water temperature of the refrigerator at the current moment and the preset cold quantity meter are obtained, wherein the preset cold quantity meter can be a corresponding relation table of the outlet water temperature of the refrigerator and the rated cold supply quantity. The preset value of the outlet water temperature of the refrigerator at the current moment can be a specific temperature value input by a user, and the preset cold meter can be a cold meter stored in the electronic equipment in advance or a cold meter acquired from other terminal equipment or a network. Specifically, the rated cooling capacity corresponding to the set value of the outlet water temperature of the refrigerator at the current moment can be searched in the preset cooling capacity meter, and the searched rated cooling capacity is used as the rated cooling capacity of the refrigerator started at the current moment.
And S140, determining the target required cold energy within the preset time according to the initial required cold energy, the rated cold supply amount of the cold machine started at the current moment and the actual cold amount of the cold machine started at the current moment.
The actual cooling capacity of the refrigerating machine started at the current moment can be understood as the actual cooling capacity of the refrigerating machine started at the current moment, wherein the actual cooling capacity of the refrigerating machine started at the current moment can be acquired through the Internet of things system, and the actual cooling capacity of the refrigerating machine started at the current moment can be determined according to the supply and return water temperature and the total pipe flow of the chilled water total pipe at the current moment.
In the embodiment of the invention, the initial required cold quantity within the preset time is adjusted according to the rated cold supply quantity of the cold machine started at the current time and the actual cold quantity of the cold machine started at the current time, and the adjusted initial required cold quantity is used as the target required cold quantity within the preset time. Optionally, determining the target required cold capacity within the preset time length according to the initial required cold capacity, the rated cold supply capacity of the cold machine started at the current time and the actual cold capacity of the cold machine started at the current time includes: determining the target required cooling capacity within the preset time length according to the following formula: the target required refrigeration capacity = initial required refrigeration capacity/rated cooling capacity of the cold machine started at the current moment and actual cooling capacity of the cold machine started at the current moment. It should be noted that, in the embodiment of the present invention, a manner of adjusting the initial required cooling capacity is not limited.
And S150, determining the cold machine operation strategy at the next preset moment according to the target required cold capacity.
The operation strategy of the cold machine at the next preset moment can be understood as the relevant conditions of the specific started cold machines in the cold station at the next preset moment, such as the number of the started cold machines and the specific started cold machines. In the embodiment of the invention, the cold machine operation strategy at the next preset moment is determined according to the target cold quantity demand, so that the cold machine operation strategy at the current moment is adjusted. Optionally, determining the cold machine operation strategy at the next preset time according to the target required cold capacity includes: and selecting a cold machine combination with rated refrigerating capacity greater than or equal to the target refrigerating capacity demand from the cold station as a starting cold machine at the next preset moment. It will be appreciated that a plurality of chillers are included in a cold station, providing different nominal cooling capacities for different chiller combinations. For example, the rated cooling capacities of the respective chillers in the cooling station can be determined respectively, and the rated cooling capacities (the sum of the rated cooling capacities of each chiller in the chiller combination) corresponding to the respective chiller combinations can be calculated respectively. Then, a chiller combination having a rated cooling capacity (a rated cooling capacity corresponding to the chiller combination) greater than or equal to the target required cooling capacity is determined from each chiller combination. One or more cold machines with rated refrigerating capacity greater than or equal to target refrigerating capacity demand can be combined. When a plurality of cold machine combinations with the rated refrigerating capacity larger than or equal to the target refrigerating capacity are provided, a certain cold machine combination with the rated refrigerating capacity larger than or equal to the target refrigerating capacity can be randomly selected to be used as a starting cold machine at the next preset moment. That is, each of the chillers in the chiller combination having the rated refrigerating capacity greater than or equal to the target required refrigerating capacity is turned on at the next preset time. It should be noted that the start-up refrigerator at the next preset time may be completely the same as, may also be completely different from, or may also be partially the same as, the start-up refrigerator at the current time.
Optionally, selecting a chiller combination with a rated refrigerating capacity greater than or equal to the target required refrigerating capacity from the cold station as the start chiller at the next preset time includes: selecting a cold machine combination with rated refrigerating capacity greater than or equal to the target required refrigerating capacity from the cold station; when the cold machine combination is greater than or equal to 2, calculating the energy efficiency ratio COP of each cold machine combination; and the cold machine combination with the largest energy efficiency ratio COP is used as the starting cold machine at the next preset moment. The method has the advantages that the operation strategy of the refrigerator at the next preset moment can be determined more energy-saving, and the energy consumption waste of the refrigerator is avoided.
Specifically, when the refrigerating machine combination with the rated refrigerating capacity larger than or equal to the target required refrigerating capacity is larger than or equal to 2, respectively calculating the energy efficiency ratio COP of each refrigerating machine combination, wherein COP = the rated refrigerating capacity/power. And then, taking the cold machine combination with the largest energy efficiency ratio COP as the starting cold machine at the next preset time, namely, operating each cold machine in the cold machine combination with the largest energy efficiency ratio COP at the next preset time.
According to the method for determining the operation strategy of the refrigerator, the data at the current moment and the data at the next preset moment are obtained; the current moment data comprise the indoor temperature at the current moment and the energy consumption of the starting cooler at the current moment, and the next preset moment data comprise the outdoor temperature at the next preset moment, the outdoor humidity at the next preset moment and the target control temperature at the next preset moment; determining the initial required cold quantity within the preset time according to the current time data, the next preset time data and the preset time; the preset duration is longer than the time interval between the next preset time and the current time; determining the rated cooling capacity of a started refrigerator at the current moment according to the set value of the outlet water temperature of the refrigerator at the current moment and a preset cooling capacity meter; the preset cold quantity meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity; determining target required cold energy within the preset time length according to the initial required cold energy, the rated cold supply amount of the cold machine started at the current moment and the actual cold amount of the cold machine started at the current moment; and determining the cold machine operation strategy at the next preset moment according to the target required cold quantity. By the technical scheme provided by the embodiment of the invention, the operation strategy of the refrigerator at the next preset moment can be accurately determined, and the condition of energy consumption waste of the refrigerator can be effectively avoided on the premise of ensuring the indoor environment quality.
In some embodiments, determining the cooling machine operation strategy at the next preset time according to the target cooling demand includes: and determining the operation strategy of the cold machine at the next preset moment according to the target required cold quantity and the rated cold supply quantity of the cold machine started at the current moment. Illustratively, the cold machine which needs to be started at the next preset time can be determined according to the size relationship between the target required cold quantity within the target time length and the rated cold supply quantity of the cold machine which is started at the current time. For example, when the target required refrigeration capacity is larger than the rated refrigeration capacity of the refrigerator started at the current moment, the refrigerator started at the next preset moment can be increased, or the rated refrigeration capacity of the refrigerator started at the next preset moment is larger than the rated refrigeration capacity of the refrigerator started at the current moment; when the target required cold quantity is smaller than the rated cold supply quantity of the cold machine started at the current moment, the cold machine started at the next preset moment can be reduced, or the rated cold supply quantity of the cold machine started at the next preset moment is smaller than the rated cold supply quantity of the cold machine started at the current moment.
Optionally, determining the operation strategy of the chiller at the next preset time according to the target required refrigeration capacity and the rated refrigeration capacity of the chiller started at the current time includes: when the target required cold quantity is larger than the rated cold supply quantity of the cold machine started at the current moment, the cold machine operation strategy at the next preset moment is to add the cold machine started at the current moment; and when the target required cold quantity is smaller than the rated cold supply quantity of the cold machine started at the current moment, the cold machine operation strategy at the next preset moment is to reduce the cold machine started at the current moment. Specifically, when the target required cold capacity is larger than the rated cold supply capacity of the cold machine started at the current moment, the cold machine is started at the current moment, namely, the cold machine operation strategy at the next preset moment is based on the cold machine started at the current moment, and at least one cold machine is additionally arranged; and when the target required refrigerating capacity is smaller than the rated refrigerating capacity of the starting refrigerator at the current moment, reducing the refrigerator at the current moment, namely reducing at least one refrigerator on the basis of the refrigerator starting at the current moment according to the refrigerator operation strategy at the next preset moment.
Optionally, when the target control temperature at the next preset time is within the specific temperature range, the cold machine operation strategy at the next preset time may also be determined according to the indoor temperature at the current time and the target control temperature at the next preset time. For example, when the indoor temperature at the current moment is greater than the target control temperature upper limit at the next preset moment, the cold machine operation strategy at the next preset moment can be to start the cold machine at the current moment to perform the machine adding operation; when the indoor temperature at the current moment is lower than the lower limit of the target control temperature at the next preset moment, the operation strategy of the refrigerator at the next preset moment can be to start the refrigerator at the current moment to reduce the refrigerator; when the indoor temperature at the current moment is within the target control temperature range at the next preset moment, the operation strategy of the refrigerator at the next preset moment can be to perform maintenance operation on the refrigerator started at the current moment.
Example two
Fig. 2 is a schematic structural diagram of a device for determining a cooling machine operation strategy according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes:
a data obtaining module 210, configured to obtain current time data and next preset time data; the current time data comprise the indoor temperature at the current time and the energy consumption of the starting cooler at the current time, and the next preset time data comprise the outdoor temperature at the next preset time, the outdoor humidity at the next preset time and the target control temperature at the next preset time;
an initial required cold quantity determining module 220, configured to determine an initial required cold quantity within a preset time duration according to the current time data, the next preset time data, and the preset time duration; the preset duration is longer than the time interval between the next preset time and the current time;
the rated cooling capacity determining module 230 is configured to determine the rated cooling capacity of the refrigerator started at the current time according to the preset value of the outlet water temperature of the refrigerator at the current time and the preset cooling capacity meter; the preset cold meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity;
a target required cold quantity determining module 240, configured to determine a target required cold quantity within the preset time period according to the initial required cold quantity, the rated cold supply quantity of the cold machine started at the current time, and the actual cold quantity of the cold machine started at the current time;
and a cold machine operation strategy determining module 250, configured to determine a cold machine operation strategy at the next preset time according to the target required cooling capacity.
Optionally, the initial required cooling capacity determining module is configured to:
and inputting the current moment data, the next preset moment data and preset duration into a pre-trained cold quantity prediction model, and determining the initial required cold quantity within the preset duration according to the output result of the cold quantity prediction model.
Optionally, the target required cooling capacity determining module is configured to:
determining the target required cooling capacity within the preset time length according to the following formula:
the target required cold quantity = initial required cold quantity/rated cold supply quantity of the cold machine started at the current moment and actual cold quantity of the cold machine started at the current moment.
Optionally, the cold machine operation policy determining module includes:
and the first cold machine operation strategy determining unit is used for determining the cold machine operation strategy at the next preset moment according to the target required cold quantity and the rated cold supply quantity of the cold machine started at the current moment.
Optionally, the first cooling machine operation policy determining unit is configured to:
when the target required cold quantity is larger than the rated cold supply quantity of the cold machine started at the current moment, the cold machine operation strategy at the next preset moment is to add the cold machine started at the current moment;
and when the target required cold quantity is smaller than the rated cold supply quantity of the cold machine started at the current moment, the cold machine operation strategy at the next preset moment is to reduce the cold machine started at the current moment.
Optionally, the cold machine operation policy determining module includes:
and the second refrigerator operation strategy determining unit is used for selecting a refrigerator combination with rated refrigerating capacity larger than or equal to the target refrigerating capacity required from the cold station as a starting refrigerator at the next preset moment.
Optionally, the second cooling machine operation strategy determining unit is configured to:
selecting a cold machine combination with rated refrigerating capacity greater than or equal to the target required refrigerating capacity from the cold station;
when the cold machine combination is greater than or equal to 2, calculating the energy efficiency ratio COP of each cold machine combination;
and the cold machine combination with the largest energy efficiency ratio COP is used as the starting cold machine at the next preset moment.
The device for determining the operation strategy of the refrigerator, provided by the embodiment of the invention, can execute the method for determining the operation strategy of the refrigerator, provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
FIG. 3 illustrates a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to the bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the cold machine operation strategy determination method.
In some embodiments, the cold machine operation policy determination method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the cold machine operation policy determination method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the cold operating policy determination method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and may be in any form (including acoustic input, speech input, or tactile input) to receive input from a user.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired result of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for determining a cold machine operation strategy is characterized by comprising the following steps:
acquiring data at the current moment and data at the next preset moment; the current moment data comprise the indoor temperature at the current moment and the energy consumption of the starting cooler at the current moment, and the next preset moment data comprise the outdoor temperature at the next preset moment, the outdoor humidity at the next preset moment and the target control temperature at the next preset moment;
determining the initial required cold quantity within the preset time according to the current time data, the next preset time data and the preset time; the preset duration is longer than the time interval between the next preset time and the current time;
determining the rated cooling capacity of the refrigerator started at the current moment according to the set value of the outlet water temperature of the refrigerator at the current moment and a preset cooling capacity meter; the preset cold meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity;
determining the target required cold quantity within the preset time according to the initial required cold quantity, the rated cold supply quantity of the cold machine started at the current moment and the actual cold quantity of the cold machine started at the current moment;
and determining the cold machine operation strategy at the next preset moment according to the target required cold quantity.
2. The method according to claim 1, wherein determining the initial required refrigeration capacity within the preset time period according to the current time data, the next preset time data and a preset time period comprises:
and inputting the current moment data, the next preset moment data and preset duration into a pre-trained cold quantity prediction model, and determining the initial required cold quantity within the preset duration according to the output result of the cold quantity prediction model.
3. The method according to claim 1, wherein the step of determining the target required refrigeration capacity within the preset time period according to the initial required refrigeration capacity, the rated cooling capacity of the cold machine started at the current time and the actual refrigeration capacity of the cold machine started at the current time comprises the following steps:
determining the target required cooling capacity within the preset time length according to the following formula:
the target required cold quantity = initial required cold quantity/rated cold supply quantity of the cold machine started at the current moment and actual cold quantity of the cold machine started at the current moment.
4. The method according to claim 1, wherein determining the chiller operation strategy at the next preset time according to the target required cooling capacity comprises:
and determining the operation strategy of the cold machine at the next preset moment according to the target required cold quantity and the rated cold supply quantity of the cold machine started at the current moment.
5. The method according to claim 4, wherein the step of determining the operation strategy of the refrigerator at the next preset moment according to the target required refrigeration capacity and the rated cooling capacity of the starting refrigerator at the current moment comprises the following steps:
when the target required cold quantity is larger than the rated cold supply quantity of the cold machine started at the current moment, the cold machine operation strategy at the next preset moment is to add the cold machine started at the current moment;
and when the target required cold quantity is smaller than the rated cold supply quantity of the cold machine started at the current moment, the cold machine operation strategy at the next preset moment is to reduce the cold machine started at the current moment.
6. The method according to claim 1, wherein determining the cooling machine operation strategy at the next preset time according to the target required cooling capacity comprises:
and selecting a cold machine combination with rated refrigerating capacity greater than or equal to the target required refrigerating capacity from the cold station as the starting cold machine at the next preset moment.
7. The method as recited in claim 6 wherein selecting a chiller combination from a chiller station having a nominal capacity greater than or equal to said target capacity requirement as a start-up chiller for said next predetermined time comprises:
selecting a cold machine combination with rated refrigerating capacity greater than or equal to the target required refrigerating capacity from the cold station;
when the cold machine combination is greater than or equal to 2, calculating the energy efficiency ratio COP of each cold machine combination;
and the cold machine combination with the largest energy efficiency ratio COP is used as the starting cold machine at the next preset moment.
8. A cold machine operation strategy determination apparatus, comprising:
the data acquisition module is used for acquiring data at the current moment and data at the next preset moment; the current moment data comprise the indoor temperature at the current moment and the energy consumption of the starting cooler at the current moment, and the next preset moment data comprise the outdoor temperature at the next preset moment, the outdoor humidity at the next preset moment and the target control temperature at the next preset moment;
the initial required cold quantity determining module is used for determining the initial required cold quantity within the preset time length according to the current time data, the next preset time data and the preset time length; the preset duration is greater than the time interval between the next preset time and the current time;
the rated cooling capacity determining module is used for determining the rated cooling capacity of the started refrigerator at the current moment according to the set value of the outlet water temperature of the refrigerator at the current moment and a preset cooling capacity meter; the preset cold meter is a corresponding relation table of the outlet water temperature of the cold machine and the rated cold supply quantity;
the target required cold quantity determining module is used for determining the target required cold quantity within the preset time length according to the initial required cold quantity, the rated cold supply quantity of the cold machine started at the current moment and the actual cold quantity of the cold machine started at the current moment;
and the cold machine operation strategy determining module is used for determining the cold machine operation strategy at the next preset moment according to the target required cold quantity.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of determining a cold machine operation strategy of any one of claims 1-7.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions for causing a processor to implement, when executed, the method for determining a refrigerator operation strategy according to any one of claims 1-7.
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