CN114608187A - Method, device and equipment for determining cold machine adjusting mode and storage medium - Google Patents
Method, device and equipment for determining cold machine adjusting mode and storage medium Download PDFInfo
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- CN114608187A CN114608187A CN202210194281.3A CN202210194281A CN114608187A CN 114608187 A CN114608187 A CN 114608187A CN 202210194281 A CN202210194281 A CN 202210194281A CN 114608187 A CN114608187 A CN 114608187A
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for determining a cold machine adjusting mode. The method comprises the following steps: acquiring environmental data; determining strategy content of a cold machine adjusting strategy according to the environment data and the cold machine working data; obtaining the strategy content generation time of the cold machine adjusting strategy, and determining the strategy type of the cold machine adjusting strategy according to the generation time; wherein the policy types include a regulation policy and a non-fixed regulation policy; and determining a cold machine adjusting mode according to the strategy content and the strategy type of the cold machine adjusting strategy. The embodiment of the invention can realize dynamic response and regulation of the building to environmental fluctuation, improve the accuracy and effectiveness of the adjusting mode of the building cold station equipment and reduce the energy consumption level of building cold source measurement.
Description
Technical Field
The embodiment of the invention relates to the field of building energy conservation and intelligent control, in particular to a method, a device, equipment and a storage medium for determining a cold machine adjusting mode.
Background
Along with the continuous improvement of living standard, the regulation and control demand of temperature under the indoor environment such as living, storage is also higher and higher, not only need keep the constancy of temperature of certain time, also need keep nimble temperature regulation ability to reach the balance of environmental quality and cold source equipment energy consumption. Cold stations are one of the important electromechanical systems in building systems, and are generally used for temperature regulation due to their complex systems, high energy consumption and good cooling effect.
Outdoor weather fluctuation is large in transitional seasons, and the requirement on flexibility of cold station operation and adjustment is high. For the regulation of a cold machine, the operation is adjusted mainly by depending on the experience of a cold station operation engineer at present, certain manual operation inertia exists, the temperature in a field is excessive or lacks for cooling, the energy consumption is wasted, and the proper temperature cannot be ensured.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for determining a cold machine adjusting mode, which can realize dynamic response and regulation and control on environmental fluctuation and improve the accuracy and effectiveness of the adjusting mode.
In a first aspect, an embodiment of the present invention provides a method for determining a cold machine adjustment mode, where the method includes:
acquiring environmental data;
determining strategy content of a cold machine adjusting strategy according to the environment data and the cold machine working data;
obtaining the strategy content generation time of the cold machine adjusting strategy, and determining the strategy type of the cold machine adjusting strategy according to the generation time; wherein the strategy type comprises a fixed regulation strategy and a non-fixed regulation strategy;
and determining a cold machine adjusting mode according to the strategy content and the strategy type of the cold machine adjusting strategy.
In a second aspect, an embodiment of the present invention further provides a device for determining a cooling machine adjustment mode, where the device includes:
the environment data acquisition module is used for acquiring environment data;
the strategy content determining module is used for determining the strategy content of the cold machine adjusting strategy according to the environment data and the cold machine working data;
the strategy type determining module is used for acquiring the strategy content generation time of the refrigerator adjusting strategy and determining the strategy type of the refrigerator adjusting strategy according to the generation time; wherein the strategy type comprises a fixed regulation strategy and a non-fixed regulation strategy;
and the adjusting mode determining module is used for determining the cold machine adjusting mode according to the strategy content and the strategy type of the cold machine adjusting strategy.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining a cold regulation manner according to any embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are stored, and when executed by a computer processor, implement the method for determining a cold machine adjustment manner according to any embodiment of the present invention.
According to the embodiment of the invention, the strategy content of the cold machine regulation strategy is flexibly generated according to the environment data and the working data, so that the dynamic response and regulation of the environment fluctuation are realized; and an adjusting mode is determined by combining strategy types, so that the accuracy and the effectiveness of the adjusting mode are improved, the efficient operation of the cold station is ensured, and the temperature control and energy-saving effects are guaranteed.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
fig. 1A is a schematic diagram of a method for determining a cold machine adjustment mode according to an embodiment of the present invention;
fig. 1B is a schematic diagram of a process for determining cold capacity of a chiller according to environmental data according to an embodiment of the present invention;
fig. 1C is a schematic diagram illustrating a flow of intelligent control modeling and model usage of a cold station according to an embodiment of the present invention;
fig. 2A is a schematic diagram of a method for determining a cold machine adjustment mode according to another embodiment of the present invention;
FIG. 2B is a schematic diagram illustrating a policy content determination process according to another embodiment of the present invention;
FIG. 2C is a schematic diagram illustrating a policy push time indication according to another embodiment of the present invention;
FIG. 2D is a schematic flow chart illustrating a method for determining an adjustment manner according to policy content and policy type according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a cold machine adjustment mode determining apparatus according to another embodiment of the present invention;
FIG. 4 is a block diagram of an electronic device used to implement an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1A is a flowchart of determination of a cooling machine adjustment mode according to an embodiment of the present invention, where this embodiment is applicable to a situation where cooling machine operation is adjusted according to environmental data, and the method may be executed by a cooling machine adjustment mode determination device, and the device may be implemented in a software and/or hardware manner. The device can be configured in an electronic device with corresponding data processing capability, and the method specifically comprises the following steps:
and S110, acquiring environmental data.
The environmental data is indoor and outdoor data of which the temperature, the humidity, the wind speed and the like may influence the refrigerating effect or the refrigerating experience of the refrigerator.
Specifically, for the acquisition of indoor environment data, measurement and acquisition can be performed through a sensor so as to improve the accuracy and reliability of the data; for the acquisition of outdoor environment data, the outdoor environment data can be acquired based on a weather forecast service, so that the acquisition rate of the environment data is improved, and the operation cost is reduced.
And S120, determining the strategy content of the cold machine adjusting strategy according to the environment data and the cold machine working data.
The cold machine working data is running data of the cold machine during working, such as the number of cold machine starting stations, real-time power, cold machine water outlet temperature, working time and the like. The strategy content is the adjusting mode of the cold machine, such as shutdown, increase of the opening number of the cold machine and increase of the water outlet temperature. The chiller may be, for example, a cold source device of a central air conditioning system of a public building.
Specifically, the working environment of the refrigerator is determined based on the environment data, and the working state of the refrigerator is determined based on the working data. And determining whether to adjust the working state of the cooler and a specific adjusting strategy by combining the current working environment and the working state of the cooler. The strategy content of the adjustment strategy is determined by combining the environmental data and the working data, the strategy content is ensured to be associated with objective conditions, and the effectiveness of the strategy content is improved.
S130, obtaining strategy content generation time of the cold machine adjusting strategy, and determining the strategy type of the cold machine adjusting strategy according to the generation time; wherein the policy types include a fixed adjustment policy and a non-fixed adjustment policy.
The generation time may be a time for determining the policy content, or may be an acquisition time of the environmental data and the working data, and the environmental data and the working data may carry corresponding timestamps. The fixed adjustment strategy can be regarded as a non-addition strategy and is a strategy pushed in a fixed adjustment strategy time period. The non-fixed adjustment strategy can be regarded as an addition strategy, and is an addition strategy which is added when the environment data meets a certain condition and is in a non-fixed adjustment strategy time period.
Specifically, the regulation control system of the refrigerator can actively acquire ambient environment information at the beginning of a fixed time period, and generate at least one cold quantity regulation strategy as a fixed regulation strategy. And in the non-fixed time period of the operation of the cold machine, the cold quantity regulation strategy cannot be generated forcibly, whether the regulation strategy is generated or not is mainly determined by whether the working state and the working environment of the cold machine meet certain conditions or not, and the generated cold quantity regulation strategy is used as the non-fixed regulation strategy. In the invention, the generation time of the strategy content is determined, and the generation time is compared with a strategy pushing timetable according to the generation time of the strategy content, wherein the strategy pushing timetable records a fixed time period and a non-fixed time period, and the time interval of the generation time is determined. And determining the strategy type of the regulating strategy according to the corresponding relation between the time interval and the strategy type.
And S140, determining a cold machine adjusting mode according to the strategy content and the strategy type of the cold machine adjusting strategy.
Specifically, the strategy content and the strategy type of the refrigerator adjustment strategy are compared, and the deep logic relationship between the current strategy content and the strategy type is determined. If the logic relation meets the requirement, determining the strategy content to be a cold machine regulation mode and executing; if the logical relationship is not satisfactory, indicating that the current policy context may not be suitable for execution at the current point in time or time period, execution of the policy context may be aborted and the current operating state may continue.
According to the embodiment of the invention, the strategy content of the refrigerator regulation strategy is flexibly generated according to the environment data and the working data, so that the dynamic response and regulation of the environment fluctuation are realized; and the adjustment mode is determined by combining strategy types, so that the accuracy and effectiveness of the adjustment mode are improved, the efficient operation of the cold station is ensured, and the temperature control and energy-saving effects are ensured.
Optionally, the policy content of the cold machine adjustment policy includes at least one of:
issuing a shutdown instruction, emptying the startup time, pushing an adjustment suggestion and adjusting the cold quantity of the cold machine.
Fig. 1B is a schematic diagram illustrating a process for determining cold capacity according to environmental data according to the present invention. And determining a specific cold quantity adjusting mode by acquiring the indoor highest temperature, the indoor target temperature, the cold machine outlet water temperature and the initial value of the cold machine outlet water temperature. It should be noted that the actual temperature values shown in fig. 1B can be set according to different scenarios and requirements, and fig. 1B is only specifically limited for convenience of understanding. It is within the scope of the invention to select other values as long as the procedure is used to determine the specific regulation of the cold quantity.
Fig. 1C is a schematic diagram illustrating a flow of intelligent control modeling and model use for a cold station according to the present invention. The intelligent control model is used for learning the corresponding relation among different indoor temperatures, the number of cold machines, the set value of the cold machine outlet water temperature and the cold quantity through historical data, and learning the characteristic relation of target data corresponding to different working conditions. The data quantity required by model training is that a general regulation strategy needs at least one month of historical data, and a regulation strategy needs the dynamic historical data of the last 7 days for continuous learning and updating of the model. The cold quantity prediction adopts a Long short-term memory (LSTM) algorithm, the cold quantity demand before the next strategy is predicted by inputting internal and external data at the calculation time, and the cold machine combination with the highest efficiency is selected according to the static information of the cold machine and is used as the strategy output.
Optionally, the cold capacity of the cold machine is adjusted by adding the cold machine and reducing the cold machine; when the strategy content is the cold quantity regulation of the machine adding in the cold quantity regulation of the cold machine, the following processes are executed: detecting whether the small refrigerator is started or not; if the small cooling machine is started, adjusting the small cooling machine to be a large cooling machine, otherwise, starting another small cooling machine; when the strategy content is the refrigerating capacity regulation of the refrigerating machine, the following processes are executed: detecting whether the small refrigerator is started or not; if the small cooler is started, the small cooler is closed, otherwise, another large cooler is set to be used as the small cooler, and the outlet water temperature of the cooler is set to be a preset temperature value.
Specifically, when the output cold quantity of the cold machines needs to be adjusted to reach the target refrigeration state, the required target refrigeration cold quantity is usually not integral multiple of the cold quantity which can be output by each cold machine, and the cold quantity of the target cold machine is output by controlling the starting number of the cold machines, so that a part of the useless cold quantity exceeding the target cold quantity is output without fail, and the invalid power consumption is brought. In the invention, a small cooling machine and a large cooling machine with different output cold quantities are arranged in the refrigerating system in advance, wherein the small cooling machine is used for outputting lower cold quantity, and the large cooling machine is used for outputting higher cold quantity. When the quantity of the opening coolers needs to be increased to increase the output cold quantity, the small cooler is preferentially selected to be closed, the large cooler is opened, and if the large cooler is already opened, the small cooler is opened; when the quantity of the opening coolers needs to be reduced to reduce the output cold quantity, the small cooler is preferentially selected to be closed, and if the small cooler is already closed, the water outlet temperature of the large cooler is set to be a lower numerical value to be used as the small cooler. The excessive ineffective output of cold energy of the cold machine is reduced by intelligently adjusting the type and the running state of the started cold machine, and the running power consumption of a refrigeration system of the cold machine is effectively reduced. It should be noted that the size of the cold is divided by the relative height of the respective rated refrigerating capacity and rated power, the cold machine with higher rated refrigerating capacity and rated power is the large cold machine, and the cold machine with higher rated refrigerating capacity and rated power is the small cold machine.
In the embodiment of the invention, the following possible groups of the cold machine and the set temperature can be selected according to the cold target output and the cold requirement interval of the cold machine: 1) the number of the started refrigerating pumps is consistent with that of the started refrigerating machines, and the frequency is set to be 50 Hz; 2) the number of the cooling pumps started is consistent with that of the coolers, and the frequency is set to be 50 Hz; 3) the number of the opened cooling towers is consistent with that of the opened cold machines, and the frequency is set to be 50 Hz.
Fig. 2A is a flowchart of a method for determining a chiller adjustment method according to another embodiment of the present invention, and this embodiment is optimized and improved based on the foregoing embodiments. Specifically, referring to fig. 2A, the method may include:
and S210, acquiring environmental data.
S220, determining the reliability of the environmental data, outdoor environmental data and indoor environmental data according to the environmental data; determining the starting and stopping states of the cold machine and the installation state of the plate type exchanger according to the working data of the cold machine; and determining the strategy content of the cold machine adjusting strategy based on the cold machine starting and stopping state, the outdoor environment data, the indoor environment data, the environment data reliability and the plate type exchanger installation state.
Wherein, the plate exchanger is a device for recovering system energy in the chiller system. The outdoor environment data may include real-time outdoor temperature and real-time outdoor humidity, and the indoor environment data may include an indoor temperature target and an indoor maximum temperature.
Specifically, the specific strategy content is determined through 6-layer nesting condition judgment logic, namely whether the environmental data is credible, the start-stop state of the cold machine, the difference value between the indoor target temperature and the indoor highest temperature, and whether the plate-type exchanger is installed in the project.
For example, fig. 2B is a schematic diagram of a policy content determination process provided by the present invention. The suggested content of push suggestions a and C may be a "warm alert: and (4) recommending to take fresh air cooling measures for one hour of the future, wherein the recommendation contents of the propelling recommendations B and D can be 'warm prompt': current outdoor wet bulb temperature @, please turn on free cold.
Illustratively, policy content determination is further limited by the following business condition constraints: 1) at the moment that the outdoor dry bulb temperature is less than or equal to 15 ℃, a refrigerator cannot be started; 2) the maximum number of the cold machines is constrained by configuration information 'the maximum number of the cold machines' and the number of the cold machines is set; 3) the starting condition of the hourly cooling machine is constrained by 'earliest early starting' and 'latest early closing' in configuration information; 4) when the outdoor temperature is less than or equal to 16 ℃ and the outdoor relative humidity is less than or equal to 80 percent, or when a free cold system exists and the outdoor wet bulb temperature is less than or equal to 15 ℃ in the current and future 4 hours, a strategy without starting the cold machine is given, and the priority is higher than the limit of the minimum number of started cold machines.
S230, if the generation time is in a non-fixed time period, determining the strategy type of the cold machine regulation strategy to be a non-fixed regulation strategy; if the generation time is within a fixed time period, determining the strategy type of the cold machine regulation strategy as a fixed regulation strategy; and the fixed time period and the non-fixed time period are determined by a plurality of preset strategy type determination time points.
The preset strategy type determination time point is determined according to specific requirements, and a time point at which outdoor temperature changes or the change trend is obvious in one day can be determined as the preset strategy type determination time point, such as sunrise time, time points at which the temperature of one day is the highest and the lowest, and sunset time point.
Specifically, the generation time of the policy content is compared with a policy pushing schedule, so that a time period in which the current policy content falls is determined, and the policy type of the current policy content is determined according to the time period in which the current policy content falls.
Fig. 2C is a policy push time indication intention provided by the present invention.
The time strategy push schedule can be obtained by determining a time point (i.e. a fixed time) and a time slot length T (e.g. 60 minutes) according to five preset strategy types of T1, T2, T3, T4 and T5. Wherein [ T1, T1+ T ], [ T2, T2+ T ], [ T3, T3+ T ] are fixed time periods, the policy content corresponding to the policy content whose generation time falls within these three time periods is a fixed adjustment policy, otherwise, the policy type is a non-fixed adjustment policy, and it should be noted that the time length between the determination time points of any two preset policy types should be greater than the time length T.
It is to be noted that for a policy push schedule, the following rules exist: 1) in the time period length T after the fixed time T1/T2/T3, a non-fixed regulation strategy is not required, so that the computing resource is saved, and different strategies are prevented from being repeatedly executed in a short time. 2) The non-fixed regulation strategy must not be powered off during the [ fixed time-preset time length L (which may be 30 minutes, for example) ]. 3) If the machine-adding cooling capacity regulation strategy at the non-fixed time exists in the time period of the fixed time-preset time length L and the fixed time, the fixed regulation strategy is consistent with the non-fixed regulation strategy given by the fixed time-preset time length L and the fixed time. The "fixed time-preset time length L" represents a last time point which is apart from the fixed time by a preset time length, for example, the fixed time point is 12 points, the preset time length L is 30 minutes, and then the last time point is 11: 30.
S240, when the strategy type is a non-fixed regulation strategy: if the strategy content is to issue a shutdown instruction and the time length of the generated time from any preset strategy type determined time point does not exceed a preset time length threshold, determining the continuous current working state as an adjusting mode; otherwise, determining the strategy content as a regulation mode.
S250, when the strategy type is a fixed adjustment strategy: if the generation time is after the target preset strategy type determination time point or the generation time does not exceed the next preset strategy type determination time point, determining the continuous current working state as an adjustment mode; the target preset strategy type determination time point is the latest preset strategy type determination time point; otherwise, determining the strategy content as a regulation mode.
Specifically, if the shutdown instruction is executed when the time point is close to the predetermined policy type determination time point, the cold machine is turned on again to generate the fixed adjustment policy when the fixed time is reached in a short time after the cold machine is turned off, so that the cold machine is turned on and off repeatedly in a short time. In the invention, when the strategy type is a non-fixed regulation strategy, if the time length between the generation time of the transmitted shutdown instruction and the determined time point of any preset strategy type is detected to be less than the preset time length threshold, the execution of the strategy content of the transmitted shutdown instruction is abandoned, and the original working state is continued, so that the repeated startup and shutdown of the refrigerator in a short time can be avoided.
Specifically, the target preset policy type determination time point is used as the latest preset policy type determination time point, and is usually a business end time point. At this time, redundant time (e.g., [ T4, T5] in fig. 2C) may be reserved for a certain length of time to settle the redundant activities such as merchandise, statistics, sanitation, etc., so that the refrigerator is turned off after the time reaches the time point determined by the target preset strategy type. In the redundant time before shutdown, if the non-fixed regulation strategy with the strategy content being the shutdown instruction is generated, the non-fixed regulation strategy cannot be executed, and the shutdown process is prevented from being repeatedly executed again when the redundant time is over, and normal redundant activities are prevented from being influenced. In addition, when the generation time of the non-fixed regulation strategy exceeds the next strategy type determination time point, in order to avoid conflict with the fixed regulation strategy to be generated or repeated execution, if the generation time exceeds the next preset strategy type determination time point, the execution of the strategy content is abandoned, and the continuous current working state is determined as the regulation mode.
For example, fig. 2D is a schematic flow chart illustrating a method for determining an adjustment manner according to policy content and policy type. With reference to this figure, the logic of how to determine the final adjustment manner according to the policy content and the policy type in the present invention is explained in detail in the form of a flowchart.
According to the embodiment of the invention, the strategy type of the cold machine adjustment strategy is determined according to the time period of the generation time, so that whether the strategy content needs to be executed or not is determined according to the strategy type and the generation time. On the basis of realizing dynamic response and regulation and control of environmental fluctuation, repeated and invalid execution of the cold machine regulation strategy is avoided, and effectiveness and accuracy of the cold machine regulation strategy are further improved.
Fig. 3 is a block diagram of a structure of a device for determining a cooling machine adjustment mode according to another embodiment of the present invention, where this embodiment is applicable to adjusting a cooling machine operating state according to environment data, and the device may be implemented in a software and/or hardware manner. The device can be configured in an electronic device with corresponding data processing capability. As shown in fig. 3, the apparatus may include:
an environment data obtaining module 310, configured to obtain environment data;
the strategy content determining module 320 is configured to determine strategy content of a refrigerator adjusting strategy according to the environment data and the refrigerator working data;
the policy type determining module 330 is configured to obtain a policy content generation time of the refrigerator adjusting policy, and determine a policy type of the refrigerator adjusting policy according to the generation time; wherein the strategy type comprises a fixed regulation strategy and a non-fixed regulation strategy;
and an adjusting mode determining module 340, configured to determine a cold adjusting mode according to the policy content and the policy type of the cold adjusting policy.
The device and the module can execute the method for determining the cold machine adjusting mode provided by any embodiment of the invention, and have the corresponding functional modules and beneficial effects of the executing method.
Optionally, the policy content determining module 320 is specifically configured to:
determining the reliability of the environmental data, outdoor environmental data and indoor environmental data according to the environmental data; determining the starting and stopping states of the cold machine and the installation state of the plate type exchanger according to the working data of the cold machine; and determining the strategy content of the cold machine adjusting strategy based on the cold machine starting and stopping state, the outdoor environment data, the indoor environment data, the environment data reliability and the plate type exchanger installation state.
Optionally, the policy content of the cold machine adjustment policy includes at least one of:
issuing a shutdown instruction, emptying the startup time, pushing an adjustment suggestion and adjusting the cold quantity of the cold machine.
Optionally, the policy type determining module 330 further includes a cold-machine-regulated cooling capacity determining unit, configured to:
when the strategy content is the cold quantity regulation of the machine adding in the cold quantity regulation of the cold machine, the following processes are executed: detecting whether the small refrigerator is started or not; if the small cooling machine is started, adjusting the small cooling machine to be a large cooling machine, otherwise, starting another small cooling machine;
when the strategy content is the refrigerating capacity regulation of the refrigerating machine, the following processes are executed: detecting whether the small refrigerator is started or not; if the small cold machine is started, the small cold machine is closed, otherwise, the other large cold machine is set to be used as the small cold machine, and the outlet water temperature of the cold machine is set to be a preset temperature value;
and the large cooling machine and the small cooling machine are distinguished according to the rated refrigerating capacity and the rated power.
Optionally, the policy type determining module 330 is specifically configured to:
if the generation time is in a non-fixed time period, determining the strategy type of the cold machine regulation strategy to be a non-fixed regulation strategy; if the generation time is within a fixed time period, determining the strategy type of the cold machine regulation strategy as a fixed regulation strategy; and the fixed time and the non-fixed time period are determined by a plurality of preset strategy type determination time points.
Optionally, when the policy type is a non-fixed adjustment policy, the adjustment mode determining module 340 is specifically configured to:
if the strategy content is to issue a shutdown instruction and the time length of the generated time from any preset strategy type determined time point does not exceed a preset time length threshold, determining the continuous current working state as an adjusting mode; otherwise, determining the strategy content as a regulation mode.
When the policy type is a fixed adjustment policy, the adjustment mode determining module 340 is specifically configured to:
if the generation time is after the target preset strategy type determination time point or the generation time does not exceed the next preset strategy type determination time point, determining the continuous current working state as an adjustment mode; the target preset strategy type determination time point is the latest preset strategy type determination time point; otherwise, determining the strategy content as a regulation mode
The further explained device and module can execute the method for determining the cold machine adjusting mode provided by any embodiment of the invention, and have corresponding functional modules and beneficial effects of the executing method.
Fig. 4 is a schematic structural diagram of an electronic device according to another embodiment of the present invention, as shown in fig. 4, the electronic device includes a processor 40, a memory 41, an input device 42, and an output device 43; the number of processors 40 in the device may be one or more, and fig. 4 exemplifies one processor 40; the processor 40, the memory 41, the input means 42 and the output means 43 of the device may be connected by a bus or other means, as exemplified by the bus connection in fig. 4.
The memory 41, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the subject updating method in the embodiment of the present invention (for example, the environment data acquiring module 310, the policy content determining module 320, the policy type determining module 330, and the adjustment manner determining module 340). The processor 40 executes various functional applications of the device and data processing by executing software programs, instructions, and modules stored in the memory 41, that is, implements the cold adjustment mode determination method described above.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 42 is operable to receive input numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 43 may include a display device such as a display screen.
Yet another embodiment of the present invention also provides a storage medium containing computer-executable instructions which, when executed by a computer processor, perform a method of searching, the method comprising:
acquiring environmental data;
determining strategy contents of a cold machine adjusting strategy according to the environment data and the cold machine working data;
obtaining the strategy content generation time of the cold machine adjusting strategy, and determining the strategy type of the cold machine adjusting strategy according to the generation time; wherein the strategy type comprises a fixed regulation strategy and a non-fixed regulation strategy;
and determining a cold machine adjusting mode according to the strategy content and the strategy type of the cold machine adjusting strategy.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the cold machine adjustment mode determination method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for determining a cold machine adjustment mode is characterized by comprising the following steps:
acquiring environmental data;
determining strategy content of a cold machine adjusting strategy according to the environment data and the cold machine working data;
obtaining the strategy content generation time of the cold machine adjusting strategy, and determining the strategy type of the cold machine adjusting strategy according to the generation time; wherein the strategy type comprises a fixed regulation strategy and a non-fixed regulation strategy;
and determining a cold machine adjusting mode according to the strategy content and the strategy type of the cold machine adjusting strategy.
2. The method of claim 1, wherein determining the policy content of the chiller conditioning policy based on the environmental data and chiller operating data comprises:
determining the reliability of the environmental data, outdoor environmental data and indoor environmental data according to the environmental data;
determining the starting and stopping states of the cold machine and the installation state of the plate type exchanger according to the working data of the cold machine;
and determining the strategy content of the cold machine adjusting strategy based on the cold machine starting and stopping state, the outdoor environment data, the indoor environment data, the environment data reliability and the plate type exchanger installation state.
3. The method according to claim 1 or 2, characterized in that the policy content of the cold machine adjustment policy comprises at least one of:
issuing a shutdown instruction, emptying the startup time, pushing an adjustment suggestion and adjusting the cold quantity of the cold machine.
4. The method of claim 3, wherein the conditioned cold machine comprises machine-added conditioned cold and machine-subtracted conditioned cold;
when the strategy content is the cold quantity regulation of the machine adding in the cold quantity regulation of the cold machine, the following processes are executed: detecting whether the small refrigerator is started or not; if the small cooling machine is started, adjusting the small cooling machine to be a large cooling machine, otherwise, starting another small cooling machine;
when the strategy content is the refrigerating capacity regulation of the refrigerating machine, the following processes are executed: detecting whether the small refrigerator is started or not; if the small cooler is started, the small cooler is closed, otherwise, another large cooler is set to be used as the small cooler, and the outlet water temperature of the cooler is set to be a preset temperature value;
and the large cooling machine and the small cooling machine are distinguished according to the rated refrigerating capacity and the rated power.
5. The method of claim 1, wherein determining the strategy type of the chiller adjustment strategy based on the generation time comprises:
if the generation time is in a non-fixed time period, determining the strategy type of the cold machine regulation strategy to be a non-fixed regulation strategy;
if the generation time is within a fixed time period, determining the strategy type of the cold machine regulation strategy as a fixed regulation strategy;
and the fixed time and the non-fixed time period are determined by a plurality of preset strategy type determination time points.
6. The method according to claim 1, wherein when the policy type is a non-fixed adjustment policy, determining a cold adjustment mode according to the policy content and the policy type of the cold adjustment policy comprises:
if the strategy content is to issue a shutdown instruction and the time length of the generated time from any preset strategy type determined time point does not exceed a preset time length threshold, determining the continuous current working state as an adjusting mode;
otherwise, determining the strategy content as a regulation mode.
7. The method according to claim 1, wherein when the policy type is a fixed adjustment policy, determining a cold adjustment mode according to the policy content and the policy type of the cold adjustment policy comprises:
if the generation time is after the target preset strategy type determination time point or the generation time does not exceed the next preset strategy type determination time point, determining the continuous current working state as an adjustment mode; the target preset strategy type determination time point is the latest preset strategy type determination time point;
otherwise, determining the strategy content as a regulation mode.
8. A cold machine adjustment manner determining apparatus comprising:
the environment data acquisition module is used for acquiring environment data;
the strategy content determining module is used for determining the strategy content of the cold machine adjusting strategy according to the environment data and the cold machine working data;
the strategy type determining module is used for acquiring the strategy content generation time of the refrigerator adjusting strategy and determining the strategy type of the refrigerator adjusting strategy according to the generation time; wherein the strategy type comprises a fixed regulation strategy and a non-fixed regulation strategy;
and the adjusting mode determining module is used for determining the cold machine adjusting mode according to the strategy content and the strategy type of the cold machine adjusting strategy.
9. An electronic device, characterized in that the device comprises:
one or more processors;
a storage device to store one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the cold regulation mode determination method of any of claims 1-7.
10. A storage medium containing computer executable instructions which when executed by a computer processor are for performing the cold regulation manner determination method of any one of claims 1-7.
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