CN114526537A - Equipment energy-saving control method and device - Google Patents
Equipment energy-saving control method and device Download PDFInfo
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- CN114526537A CN114526537A CN202111661488.9A CN202111661488A CN114526537A CN 114526537 A CN114526537 A CN 114526537A CN 202111661488 A CN202111661488 A CN 202111661488A CN 114526537 A CN114526537 A CN 114526537A
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- 238000000034 method Methods 0.000 title claims abstract description 44
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 81
- 238000005457 optimization Methods 0.000 claims abstract description 29
- 238000004378 air conditioning Methods 0.000 claims description 36
- 238000004590 computer program Methods 0.000 claims description 20
- 238000004146 energy storage Methods 0.000 claims description 20
- 238000004422 calculation algorithm Methods 0.000 claims description 11
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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
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
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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
- F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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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
- F24F11/62—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
- F24F11/65—Electronic processing for selecting an operating mode
- F24F11/67—Switching between heating and cooling modes
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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
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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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- 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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
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Abstract
The disclosure relates to the technical field of air conditioners, and provides a device energy-saving control method and a device, wherein the method comprises the following steps: calculating water capacity based on the acquired basic parameters, and calculating average water temperature during starting based on the water capacity and the acquired internet of things data; determining the working mode of the equipment according to the average water temperature during starting; determining whether the working condition reaches the standard or not based on the working mode; if the working condition reaches the standard, acquiring a shutdown time advance strategy; and updating the advanced shutdown optimization percentage based on the advanced shutdown time strategy to adjust the advanced shutdown time of the equipment, so that the advanced shutdown time of the air conditioner is changed according to the load requirement, the residual energy is fully utilized, the power consumption of the air conditioner is reduced, and the purpose of saving energy is achieved.
Description
Technical Field
The disclosure relates to the technical field of air conditioners, in particular to an equipment energy-saving control method and device.
Background
Building energy consumption, industrial energy consumption and traffic energy consumption are main aspects of energy consumption in China in parallel, the building energy consumption generally refers to operation consumption in buildings such as heating, air conditioning and lighting, most of the energy consumption is concentrated on the application of air conditioners, most of the currently adopted air conditioning ventilation systems use heating ventilation air conditioners or central air conditioning systems, and after the air conditioners are stopped, residual energy enters the atmosphere, so that a large amount of energy is wasted.
In the prior art, a field control system controls an air conditioning system to set a shutdown time in advance, and a freezing pump operates according to the set time until the air conditioning system is shut down at a delay time. However, when the time is set, the air conditioner system is in a fixed state, the early shutdown time cannot be changed, and the energy storage of the air conditioner system cannot be fully utilized.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide an apparatus energy saving control method and apparatus, an electronic apparatus, and a computer-readable storage medium, so as to solve the problems in the prior art that the advance shutdown time of the apparatus can only be fixedly set, and the energy storage of the air conditioning system cannot be fully utilized.
In a first aspect of the embodiments of the present disclosure, a method for controlling energy saving of a device is provided, including:
calculating water capacity based on the acquired basic parameters, and calculating average water temperature during starting based on the water capacity and the acquired internet of things data;
determining the working mode of the equipment according to the average water temperature during starting;
determining whether the working condition reaches the standard or not based on the working mode;
if the working condition reaches the standard, acquiring a shutdown time advance strategy;
updating the advanced shutdown optimization percentage based on the advanced shutdown time strategy to adjust the advanced shutdown time of the device.
In a second aspect of the embodiments of the present disclosure, an apparatus for saving energy of a device is provided, including:
the acquisition module is configured to calculate water capacity based on the acquired basic parameters and calculate average water temperature at starting time based on the water capacity and the acquired internet of things data;
an operating mode determining module configured to determine an operating mode of the device based on the average water temperature at startup;
the judging module is configured to determine whether the working condition reaches the standard or not based on the working mode;
the strategy generation module is configured to acquire a shutdown time advance strategy if the working condition reaches the standard;
an update module configured to update the early shutdown optimization percentage based on the early shutdown time policy to adjust the early shutdown time of the device.
In a third aspect of the embodiments of the present disclosure, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the above-mentioned method.
Compared with the prior art, the embodiment of the disclosure has the advantages that at least: the method and the device for controlling the air conditioner to shut down in the air conditioner have the advantages that basic parameters are obtained, water capacity is calculated, average water temperature during starting is calculated based on the water capacity and pre-collected internet of things data, the working mode of the device is judged according to the average water temperature during starting, whether working conditions reach the standard or not is judged based on the working mode, the strategy of the time of the air conditioner to shut down in advance is obtained under the condition that the working conditions reach the standard, the optimization percentage of the time of the air conditioner to shut down in advance is updated based on the strategy of the time of the air conditioner to adjust the time of the air conditioner to shut down in advance, the time of the air conditioner to shut down in advance is changed according to load requirements, residual energy is fully utilized, power consumption of the air conditioner is reduced, and the purpose of saving energy is achieved.
Drawings
To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
Fig. 1 is a schematic flow chart of an apparatus energy saving control method provided in an embodiment of the present disclosure;
fig. 2 is a schematic specific flowchart of an apparatus energy saving control method provided in an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an apparatus energy saving control device provided in an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention, are within the scope of the invention. Unless otherwise specified, the technical means used in the examples are conventional means well known to those skilled in the art.
Technical solutions of embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.
The air conditioner consumes energy, and the air conditioner is directly stopped after running, so that the residual energy does not play a role in the air conditioning system before the next system runs. With remaining energy utilization, the air conditioner can be through the operation of freezing pump delay, namely through the air conditioner shutdown in advance, the air conditioner shutdown time in advance receives a plurality of factors influence, for example number of users, water capacity, indoor outer difference in temperature etc. same system, the load demand of different dates is also different, therefore the load demand of air conditioner is constantly changing, and the shutdown time needs adjust according to the load demand of difference in advance.
However, in the prior art, the control method of the air conditioning system is single, the user selects the early shutdown time, the time is usually fixed after setting, and after the air conditioning water system is shut down, the freezing pump operates in a delayed manner according to the set time until the delayed time expires, and the air conditioning water system is shut down. The air conditioner can not adjust the shutdown time in advance according to the load demand, thereby causing energy waste and increasing the power consumption.
The embodiment of the disclosure provides an equipment energy-saving control method, which includes the steps of obtaining basic parameters, calculating water capacity, calculating average water temperature during starting based on the water capacity and pre-acquired internet of things data, judging an equipment working mode according to the average water temperature during starting, judging whether working condition conditions reach the standard or not based on the working mode, determining that the working condition conditions reach the standard, obtaining a pre-shutdown time strategy, updating a pre-shutdown time optimization percentage based on the pre-shutdown time strategy, adjusting the pre-shutdown time of an air conditioner, enabling the pre-shutdown time of the air conditioner to change according to load requirements, fully utilizing residual energy, reducing power consumption of the air conditioner and achieving the purpose of saving energy.
Fig. 1 is a schematic flow chart of an apparatus energy saving control method provided in an embodiment of the present disclosure. As shown in fig. 1, the apparatus energy saving control method includes:
and S101, calculating water capacity based on the acquired basic parameters, and calculating the average water temperature during starting based on the water capacity and the acquired Internet of things data.
The user inputs main use parameters on a user interface provided by the air conditioning system according to the use requirement, and the main use parameters at least comprise: air-conditioning building area, original system shutdown time and algorithm start-up lead time. The input air-conditioning building area refers to the building area occupied by the air-conditioning positions in the commodity room. The using area of the building is generally about 85 percent, and the air-conditioning building area is contained in 85 percent of the building area. The air-conditioning building area can be obtained by calculation according to the occupied building area ratio, and the occupied ratio can be divided into the following parts according to the difference of the building areas: hotel restaurant accounts for 70-80%; in an office building, 65-80% of exhibition centers are occupied; theatre, club accounts for 75-85%; 15-35% of hospitals; 50-65% of stores. And after the area of the air-conditioning building is obtained, inputting the stop time of the original system, wherein the time is accurate to minutes. The algorithm start advance time is set according to the user requirements, such as 10 minutes, 15 minutes, 30 minutes, 60 minutes and the like.
After the basic parameters are input, the user can select whether to start the algorithm program, if the start program is selected, the air conditioning system calculates the air conditioning water capacity according to the input use parameters, the water capacity is divided into a use side water capacity and a cooling side water capacity, and in the embodiment, the use side water capacity is mainly calculated.
The data acquisition unit is used for acquiring the data of the Internet of things in real time, and the data at least comprises measuring point data and equipment attribute information. The data at the measurement points may also vary depending on the type of equipment. The measuring point data comprises at least one of average temperature, indoor temperature and water capacity of the intermediate carrier when the vehicle is shut down, and the equipment attribute information can be equipment model, equipment type, heating capacity, cooling capacity and the like. The air conditioning apparatus is exemplified by air conditioning apparatus of the type including, but not limited to, wall air conditioners, cabinet air conditioners, ceiling air conditioners, window air conditioners, central air conditioners, etc.
And during calculation, the required data of the Internet of things is automatically selected, and the obtained water capacity of the use side is combined for calculation to obtain the average water temperature during starting.
And step S102, determining the working mode of the equipment according to the average water temperature at the starting time.
According to the average water temperature at the time of starting, the air conditioning system judges whether the air conditioning system is in a cooling mode or a heating mode at the time,
the specific judgment process comprises the following steps:
when the outdoor temperature is more than or equal to T1, judging whether the air conditioner is refrigerated, if so, determining that the working mode of the air conditioner is a refrigeration mode;
wherein T1 can be 25 ℃;
and when the outdoor temperature is less than T2, judging whether the air conditioner heats, and if so, starting a heating mode.
Wherein T2 may be 15 ℃.
The air conditioning equipment has different set temperature standards and different starting conditions of the cooling mode and the heating mode, and is not limited specifically here.
And step S103, judging whether the working condition reaches the standard or not based on the working mode.
After the working mode of the air conditioner is determined, the advanced shutdown time is obtained according to the algorithm prediction of the air conditioning system, if the obtained advanced shutdown time is lower than the preset time, the advanced shutdown is not required to be executed, the working condition is judged not to reach the standard at the moment, and the air conditioner is shut down according to the shutdown time of the original system. And if the advanced shutdown time accords with the set range of the advanced shutdown time of the air conditioner according to the algorithm prediction of the air conditioning system, judging that the working condition at the moment reaches the standard.
The air conditioner is set in the range of the time for turning off the air conditioner in advance, and the optimization effect cannot be realized in order to avoid overlong setting time.
And step S104, if the working condition reaches the standard, acquiring a shutdown time advance strategy.
Firstly, the energy storage temperature difference is calculated according to the average water temperature at the starting time and the average water temperature at the stopping time, and the energy storage amount is further calculated by combining the water capacity at the use side. And calculating the load rate of the system and the load demand during the shutdown according to the collected internet of things data. Then, based on the stored energy and the load demand, a desired advanced shutdown time is calculated. And calculating the recommended early shutdown time based on the early shutdown time optimization percentage. And further, obtaining a strategy of the early shutdown time according to the expected early shutdown time and the recommended early shutdown time, and generating the early shutdown time of the equipment.
And executing a shutdown advance time strategy, and shutdown in advance according to the shutdown advance time.
Step S105, updating the optimization percentage of the early shutdown time based on the early shutdown time strategy so as to adjust the early shutdown time of the equipment.
And calculating the average water temperature of the system after the shutdown, and calculating the actual energy storage temperature difference according to the average water temperature during the shutdown and the average water temperature during the startup. And calculating and updating the early shutdown optimization percentage based on the actual energy storage temperature difference and the expected energy storage temperature difference, determining new early shutdown time based on the updated shutdown optimization percentage, and ending the operation. The first default value of the advanced shutdown optimization percentage is 100%, and the subsequent advanced shutdown optimization percentage is updated according to the actual running condition.
In the embodiment, the advanced shutdown optimization percentage is updated through algorithm self-learning, an intelligent self-learning model (such as a supervised neural network and an unsupervised neural network) is adopted for the algorithm, the intelligent self-learning model is trained on the basis of a historical database to obtain the updated advanced shutdown time percentage, and the intelligent self-learning model is obtained by combining an advanced shutdown strategy. After the historical record of the early shutdown time is obtained, the updated early shutdown optimization percentage is obtained through the self-learning model, the new early shutdown time is further obtained, and a new early shutdown strategy is determined based on the new early shutdown time. With the updating and the improvement of the integrity of the database, the obtained advanced shutdown time is more accurate. For the application effect after the change of the advanced shutdown time, the operation efficiency of the refrigerating pump, the residual energy utilization rate and the like can be compared, and the advanced shutdown time strategy is further improved in the comparison.
In the embodiment of the disclosure, the adjustment of the advanced shutdown time of the air conditioning system can be realized by an algorithm and internet of things data, and can also be realized in a cloud edge combination mode. The current execution main body realizes operation through a cloud end, calculates the early shutdown time by using a trained model, updates the early optimization percentage and optimizes the early shutdown time. For the edge end calculation, the edge device can only process local data and can not realize global calculation. In practical application, the information fusion still needs to be realized by means of a cloud platform. Therefore, cloud-edge bonding is becoming an important support for the development of industrial internets. With intelligent devices installed and connected in a marginal computing environment, processing mission critical data and responding in real time, the device itself acts as a center for providing data, analysis is performed on the device, and thus the delay is almost zero. With this added functionality, data processing becomes decentralized and network traffic is greatly reduced. The cloud can later collect this data for a second round of evaluation, processing and in-depth analysis.
The energy-saving method for the equipment provided by the embodiment of the disclosure includes the steps of obtaining basic parameters, calculating water capacity, calculating average water temperature at the time of starting based on the water capacity and pre-collected internet of things data, judging an equipment working mode according to the average water temperature at the time of starting, judging whether working conditions reach the standard or not based on the working mode, determining that the working conditions reach the standard, obtaining a pre-shutdown time strategy, and updating pre-shutdown optimization percentage based on the pre-shutdown time strategy to adjust the pre-shutdown time. The air conditioner is changed according to the load requirement in advance, the residual energy is fully utilized, the power consumption of the air conditioner is reduced, and the purpose of saving energy is achieved. Meanwhile, the calculated early shutdown time can be used for predicting the load demand of the user side after the early shutdown, and different early shutdown time strategies are provided for the user according to the load demands of different air-conditioning equipment. The early shutdown time strategy is not only applied to small-sized hanging air conditioners in families, but also can be used for predicting the air conditioner load requirements in large-scale buildings such as shopping malls, office buildings and the like, and the power consumption cost is reduced. Meanwhile, excessive use of air conditioning equipment in extreme weather can be avoided, and the service life of the air conditioner is prolonged.
Further, the operation of the advanced shutdown can be performed by manually closing the system according to the calculated advanced shutdown time off-line, or by responding to an instruction of the advanced shutdown time on-line according to the set advanced shutdown time.
Further, the percentage of optimization in advance in shutdown is limited by setting upper limit and lower limit values, so that parameter tuning is guaranteed to be in a certain range, normal operation of equipment is guaranteed, and the condition that the equipment is damaged due to overlarge tuning time span is prevented.
In some embodiments, the method further comprises: after a new shutdown time strategy is determined, executing a shutdown time advance strategy, and if the air conditioning equipment is not shut down on time according to the generated shutdown time advance, detecting the air conditioning equipment to ensure the normal operation of the air conditioning equipment; or after long-term operation, the air conditioning equipment acquires inaccurate data sensors, so that the calculated early shutdown time does not accord with the actual load requirement of the air conditioner, a prompt needs to be sent to the system to remind a worker to perform manual inspection or update a database, optimize an inherent algorithm model and the like, so as to realize the accuracy of the early shutdown time calculation.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
Fig. 2 is a schematic flowchart of a specific embodiment of an apparatus energy saving control method according to an embodiment of the present disclosure. As shown in fig. 2, the method comprises the steps of:
s201, calculating water capacity based on the acquired basic parameters, and calculating average water temperature during starting based on the water capacity and the acquired Internet of things data.
S202, determining the working mode of the equipment according to the average water temperature at the starting time.
When the outdoor temperature is more than or equal to T1, judging whether the air conditioner is refrigerated, if so, determining that the working mode of the air conditioner is a refrigeration mode;
and when the outdoor temperature is less than T2, judging whether the air conditioner heats, and if so, determining that the working mode of the air conditioner is the heating mode.
And S203, determining whether the working condition reaches the standard or not based on the working mode.
If the shutdown is not required in advance, then:
s204, determining that the working condition does not reach the standard, shutting down according to the original system shutdown time, and entering step 209.
If shutdown needs to be performed in advance:
and S205, determining that the working condition reaches the standard, and calculating the expected energy storage temperature difference, the energy storage amount, the system load rate and the load demand.
S206, calculating expected advanced shutdown time based on the stored energy and the load demand, and calculating recommended advanced shutdown time based on the optimized percentage of the advanced shutdown time.
And S207, obtaining an advanced shutdown strategy based on the expected advanced shutdown time and the recommended advanced shutdown time.
And S208, executing an early shutdown strategy and performing early shutdown.
And S209, ending the operation.
S210, calculating the average water temperature of the system after shutdown;
s211, calculating an actual energy storage temperature difference based on the average water temperature at the shutdown and the average water temperature at the start;
and S212, calculating and updating the advanced shutdown optimization percentage based on the actual energy storage temperature difference and the expected energy storage temperature difference, and determining new advanced shutdown time.
Fig. 3 is a schematic structural diagram of an apparatus for saving energy provided by an embodiment of the present disclosure. As shown in fig. 3, the energy saving device for shutting down the air conditioner in advance includes an obtaining module 301, an operating mode determining module 302, a judging module 303, a policy generating module 304, and an updating module 305. Wherein the obtaining module 301 is configured to calculate the water capacity based on the obtained basic parameters, and calculate the average water temperature at startup based on the water capacity and the collected internet of things data. The decision block 302 is configured to determine the operating mode of the device based on the average water temperature at startup. The determine compliance module 303 is configured to determine whether the operating condition is compliant based on the operating mode. The generate policy module 304 is configured to obtain an advance shutdown time policy if the operating condition is met. The update module 305 is configured to update the early shutdown optimization percentage based on the early shutdown time policy to adjust the early shutdown time of the device.
Further, the obtaining module 301 is specifically configured to: acquiring basic parameters, at least comprising: the method comprises the following steps of (1) air-conditioning building area, original system shutdown time and algorithm start-up lead time, wherein the water capacity is the water capacity of a use side; pre-collected internet of things data comprising at least: measuring point data and equipment attribute information.
Further, the determine compliance module 303 is specifically configured to: the judgment standard is that the air conditioner needs to be shut down in advance; if the shutdown needs to be carried out in advance, the working condition reaches the standard; if the system does not need to be shut down in advance, the working condition does not reach the standard, the working condition is determined to not reach the standard, and the system is shut down according to the original system shutdown time if the working condition is determined to not reach the standard.
Further, the generate policy module 304 is specifically configured to: calculating expected energy storage temperature difference, energy storage, system load rate and load demand; calculating an expected advanced shutdown time based on the stored energy and the load demand; calculating a recommended advanced shutdown time based on the advanced shutdown time optimization percentage; wherein, the percentage of the optimization time of the shutdown in advance is 100 percent of the default value of the percentage of the initial optimization time of the shutdown in advance; and obtaining an advanced shutdown strategy based on the expected advanced shutdown time and the recommended advanced shutdown time, executing the advanced shutdown strategy, and performing advanced shutdown according to the advanced shutdown time.
Further, the update module 305 is specifically configured to: calculating data of the system after shutdown, wherein the data of the system after shutdown is the average water temperature of the system after shutdown, and calculating the actual energy storage temperature difference based on the average water temperature at shutdown and the average water temperature at start; and calculating and updating the advanced shutdown optimization percentage based on the expected energy storage temperature difference and the actual energy storage temperature difference, and determining new advanced shutdown time based on the updated shutdown optimization percentage.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
Fig. 4 is a schematic structural diagram of the electronic device 4 provided in the embodiment of the present disclosure. As shown in fig. 4, the electronic apparatus 4 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps in the various method embodiments described above are implemented when the processor 401 executes the computer program 403. Alternatively, the processor 401 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 403.
Illustratively, the computer program 403 may be partitioned into one or more modules/units, which are stored in the memory 402 and executed by the processor 401 to accomplish the present disclosure. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 403 in the electronic device 4.
The electronic device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other electronic devices. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that fig. 4 is merely an example of the electronic device 4, and does not constitute a limitation of the electronic device 4, and may include more or less components than those shown, or combine certain components, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or a memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device 4. Further, the memory 402 may also include both internal storage units of the electronic device 4 and external storage devices. The memory 402 is used for storing computer programs and other programs and data required by the electronic device. The memory 402 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/computer device and method may be implemented in other ways. For example, the above-described apparatus/computer device embodiments are merely illustrative, and for example, a division of modules or units, a division of logical functions only, an additional division may be made in actual implementation, multiple units or components may be combined or integrated with another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.
Claims (10)
1. An apparatus energy-saving control method is characterized by comprising the following steps:
calculating water capacity based on the acquired basic parameters, and calculating average water temperature during starting based on the water capacity and the acquired internet of things data;
determining the working mode of the equipment according to the average water temperature during starting;
determining whether the working condition reaches the standard or not based on the working mode;
if the working condition reaches the standard, acquiring a shutdown time advance strategy;
updating the advanced shutdown optimization percentage based on the advanced shutdown time strategy to adjust the advanced shutdown time of the device.
2. The method of claim 1, wherein the obtaining the base parameters, calculating a water capacity, and calculating a start-up average water temperature based on the usage-side water capacity and the collected internet of things data comprises:
obtaining basic parameters, wherein the basic parameters at least comprise: air-conditioning building area, original system shutdown time and algorithm start-up lead time;
acquiring the data of the Internet of things, wherein the data of the Internet of things at least comprises: measuring point data and equipment attribute information;
acquiring the water capacity of a use side based on the basic parameters and the internet of things data;
and calculating the average water temperature at the starting time based on the basic parameters, the internet of things data and the water capacity at the use side.
3. The method of claim 1, wherein determining the operating mode of the appliance based on the start-up average water temperature comprises:
judging whether the current air-conditioning system belongs to a refrigeration mode or a heating mode based on the average water temperature during starting;
4. the method of claim 1, wherein in the step of determining whether the operating condition is met based on the operating mode, the criterion is determined according to whether the air conditioner needs to be shut down in advance, if so, the operating condition is met, and if not, the operating condition is not met.
5. The method of claim 1, wherein after the step of determining whether the operating condition is met based on the operating mode, the method further comprises:
if the working condition does not reach the standard, the system is shut down according to the original system shutdown time.
6. The method of claim 1, wherein obtaining an early shutdown time strategy if the operating condition is met comprises:
acquiring expected energy storage temperature difference, energy storage, system load rate and load demand;
calculating an expected advanced shutdown time based on the stored energy and the load demand;
calculating a recommended advanced shutdown time based on an optimized percentage of the advanced shutdown time, wherein the default value of the optimized percentage of the initial advanced shutdown time is 100%;
and obtaining an advanced shutdown strategy based on the expected advanced shutdown time and the recommended advanced shutdown time.
7. The method of claim 1, wherein updating an early shutdown optimization percentage to adjust an early shutdown time of a device based on the early shutdown time policy comprises:
acquiring the average water temperature of the system after shutdown;
calculating an actual energy storage temperature difference based on the average water temperature at shutdown and the average water temperature at startup;
calculating and updating an early shutdown optimization percentage based on the expected and actual stored temperature differences,
determining a new advanced shutdown time based on the updated shutdown optimization percentage.
8. An apparatus energy-saving control device, characterized by comprising:
the acquisition module is configured to calculate water capacity based on the acquired basic parameters and calculate average water temperature at starting time based on the water capacity and the acquired internet of things data;
the working mode determining module is configured to determine the working mode of the equipment according to the average water temperature at the starting time;
the judging module is configured to determine whether the working condition reaches the standard or not based on the working mode;
the strategy generation module is configured to acquire a shutdown time advance strategy if the working condition reaches the standard;
an update module configured to update an early shutdown optimization percentage based on the early shutdown time policy to adjust an early shutdown time of a device.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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