CN110619152A - Simulation experiment parameter setting method, device, equipment and storage medium - Google Patents
Simulation experiment parameter setting method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for setting simulation experiment parameters. The method comprises the following steps: acquiring simulation parameter values input by a user in a first part of all simulation parameters of equipment to be simulated; setting the first part of parameters according to simulation parameter values of the first part of parameters input by a user; acquiring simulation parameter values of a second part of parameters matched with the simulation parameter values of the first part of parameters based on a pre-constructed experiment database; the second part of parameters are simulation parameters except the first part of parameters in all simulation parameters; if the simulation parameter values of the matched second part parameters are obtained, the second part parameters are set according to the obtained simulation parameter values of the matched second part parameters, and the problems of low speed and low efficiency caused by various simulation experiment parameter settings are solved.
Description
Technical Field
The present application relates to the field of simulation experiment technologies, and in particular, to a method, an apparatus, a device, and a storage medium for setting simulation experiment parameters.
Background
With the progress of the times, in the design and production process of a plurality of devices, such as heating and ventilating devices of air conditioners and the like, the experimental mode of the devices is gradually transferred from a laboratory to related simulation software, and the simulation software has the advantage that the effect same as that of laboratory experiments can be achieved with the minimum time, raw materials and labor cost.
However, simulation software still faces common problems similar to laboratory experiments, the experiment needs many parameters to be set, and various parameters need to be arranged and combined during the simulation experiment, so that the simulation experiment still faces low-speed and low-efficiency simulation experiment conditions.
Disclosure of Invention
The application aims to provide a method, a device, equipment and a storage medium for setting simulation experiment parameters, so as to solve the problems of low speed and low efficiency caused by various simulation experiment parameter settings in the related technology.
The purpose of the application is realized by the following technical scheme:
a simulation experiment parameter setting method comprises the following steps:
acquiring simulation parameter values input by a user in a first part of all simulation parameters of equipment to be simulated;
setting the first part of parameters according to simulation parameter values of the first part of parameters input by a user;
acquiring simulation parameter values of a second part of parameters matched with the simulation parameter values of the first part of parameters based on a pre-constructed experiment database; the second part of parameters are simulation parameters except the first part of parameters in all simulation parameters;
and if the simulation parameter values of the matched second part of parameters are acquired, setting the second part of parameters according to the acquired simulation parameter values of the matched second part of parameters.
Optionally, the experiment database includes a plurality of groups of experiment data; each group of experimental data comprises preset parameter values of all simulation parameters;
the acquiring of the simulation parameter values of the second part of parameters matched with the simulation parameter values of the first part of parameters based on the pre-constructed experiment database comprises:
acquiring the multiple groups of experimental data;
for each group of experimental data, judging whether the preset parameter values of the first part of parameters are matched with the simulation parameter values of the first part of parameters;
if the judgment result corresponding to at least one group of experimental data is matched, taking at least one group of experimental data with the matched judgment result as a candidate group;
selecting a set of experimental data from the candidate set;
and taking the preset parameter values of the second part of parameters in the selected group of experimental data as the simulation parameter values of the matched second part of parameters.
Optionally, if the judgment results corresponding to each set of experimental data are all mismatched, determining that the simulation parameter values of the matched second part of parameters cannot be obtained.
Optionally, the method further includes:
if the simulation parameter values of the matched second part parameters cannot be obtained, obtaining simulation parameter values input by a user for the second part parameters;
and setting the second part of parameters according to the simulation parameter values of the second part of parameters input by a user.
Optionally, each set of experimental data further includes energy efficiency ratios of the devices corresponding to preset parameter values of all simulation parameters;
said selecting a set of experimental data from said candidate set comprising:
sequencing each group of experimental data in the candidate group according to the corresponding energy efficiency ratio;
and selecting a group of experimental data meeting the preset energy efficiency ratio requirement from the candidates according to the sequencing result.
Optionally, the selecting, according to the ranking result, a set of experimental data meeting a preset energy efficiency ratio requirement from the candidates includes:
selecting each group of experimental data with the lowest energy consumption represented by the energy efficiency ratio from the candidate group;
and selecting one group of experimental data from the groups of experimental data with the lowest energy consumption represented by the energy efficiency ratio.
Optionally, the determining whether the preset parameter values of the first part of parameters are matched with the simulation parameter values of the first part of parameters includes:
determining a matching interval of simulation parameter values of the first part of parameters, wherein the matching interval contains the simulation parameter values of the first part of parameters;
judging whether preset parameter values of the first part of parameters are in the matching interval or not;
if yes, determining that preset parameter values of the first part of parameters are matched with simulation parameter values of the first part of parameters;
otherwise, determining that the preset parameter values of the first part of parameters are not matched with the simulation parameter values of the first part of parameters.
Optionally, after the setting of the second part of parameters, the method further includes:
acquiring a revision value input by a user on a parameter to be revised in all simulation parameters;
updating simulation parameter values of the first part of parameters according to the revised values of the parameters to be revised;
and updating the simulation parameter values of the second part of parameters according to the updated simulation parameter values of the first part of parameters.
Optionally, the updating the simulation parameter values of the first part of parameters according to the revised value of the parameter to be revised includes:
if the parameter to be revised belongs to the first part of parameters, updating the simulation parameter value of the parameter to be revised according to the revised value of the parameter to be revised to obtain the updated simulation parameter value of the first part of parameters;
if the parameter to be revised belongs to the second part of parameters, updating the parameter to be revised from the second part of parameters to the first part of parameters, and updating the simulation parameter value of the parameter to be revised according to the revised value of the parameter to be revised to obtain the updated simulation parameter value of the first part of parameters.
Optionally, the method further includes:
acquiring real experimental data in a laboratory in advance;
and constructing the experiment database according to the collected real experiment data.
Optionally, all the simulation parameters are simulation parameters of the heating and ventilation device.
Optionally, the heating and ventilation device is an air conditioner.
A simulation experiment parameter setting device comprises:
the first acquisition module is used for acquiring simulation parameter values input by a user in a first part of all simulation parameters of the equipment to be simulated;
the first setting module is used for setting the first part of parameters according to simulation parameter values of the first part of parameters input by a user;
the second acquisition module is used for acquiring simulation parameter values of a second part of parameters matched with the simulation parameter values of the first part of parameters based on a pre-constructed experiment database; the second part of parameters are simulation parameters except the first part of parameters in all simulation parameters;
and the second setting module is used for setting the second part of parameters according to the acquired simulation parameter values of the matched second part of parameters if the simulation parameter values of the matched second part of parameters are acquired.
A simulation experiment parameter setting device comprises:
a processor, and a memory coupled to the processor;
the memory is used for storing a computer program;
the processor is configured to invoke and execute the computer program in the memory to perform the steps of the method as described in any one of the above.
A storage medium storing a computer program which, when executed by a processor, performs the steps of a method as claimed in any one of the preceding claims.
This application adopts above technical scheme, has following beneficial effect:
according to the scheme, when the device simulation experiment is carried out, a user does not need to manually set simulation parameter values of all simulation parameters in the simulation experiment one by one, but only inputs the simulation parameter values of a part of parameters, when the simulation parameter values input by the user to a first part of all simulation parameters are detected, the part of parameters are set, and the simulation parameter values matched with the simulation parameter values of the first part of parameters can be automatically obtained for the rest of second part of parameters except the first part of parameters based on a pre-constructed experiment database, and the rest of second part of parameters can be automatically matched and set according to the obtained simulation parameter values of the second part of parameters, so that the simulation parameter values of the part of parameters can be only input, the setting of all simulation parameters can be realized, and compared with the related technologies, the high speed and the high speed are realized, Efficient parameter setting, and then improved simulation experiment's efficiency greatly. In addition, on one hand, the setting of all simulation parameters can be realized only by inputting the simulation parameter values of part of the parameters, the user can only input the most concerned parameters and can automatically set the parameters which are not concerned, so that the user is not required to know all the simulation parameters very much and the parameters which are not concerned can not be known, the technical requirements on the user are reduced, the experiment difficulty is reduced, and the simulation experiment efficiency is improved. On the other hand, because the simulation parameter values of the second part of parameters are matched with the simulation parameter values of the first part of parameters, the trial and error rate of the user is reduced, and the simulation experiment efficiency is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a simulation experiment parameter setting method according to an embodiment of the present application.
Fig. 2 is a structural diagram of a simulation experiment parameter setting apparatus according to another embodiment of the present application.
Fig. 3 is a structural diagram of a simulation experiment parameter setting device according to another embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Examples
Referring to fig. 1, fig. 1 is a flowchart of a simulation experiment parameter setting method according to an embodiment of the present application.
As shown in fig. 1, this embodiment provides a simulation experiment parameter setting method, which may be applied to a terminal installed with simulation software, where an execution subject of the method may be the terminal installed with simulation software or a functional module based on software and/or hardware inside the terminal, and the method at least includes the following steps:
and 11, acquiring simulation parameter values input by a user in a first part of all simulation parameters of the equipment to be simulated.
The device to be simulated in this step is a device that needs to be simulated by using the simulation software, and the device to be simulated may be, but is not limited to, a heating and ventilation device such as an air conditioner. Correspondingly, all simulation parameters are simulation parameters of each component in equipment to be used in the process of simulating the equipment to be simulated, taking an air conditioner of a single unit as an example, the simulation parameters generally mainly comprise four parts, namely a compressor, an evaporator, a condenser and an expansion valve, and the corresponding simulation parameters at least comprise:
simulation parameters of the compressor: the simulation system comprises simulation parameters such as operation frequency, compressor displacement, compressor coefficient, volumetric efficiency, isentropic efficiency, mechanical efficiency, flow coefficient, enthalpy coefficient and the like.
Simulation parameters of the evaporator: the simulation parameters comprise the length of the gas collecting pipe, the inner diameter of the gas collecting pipe, the pressure of the gas collecting pipe, the temperature of the gas collecting pipe, the length of the liquid separating pipe, the inner diameter of the liquid separating pipe, the pressure of the liquid separating pipe, the temperature of an air inlet dry ball, the temperature of an air inlet wet ball, the air pressure and the like.
Simulation parameters of the condenser: similar to the parameters of the evaporator.
Simulation parameters of the expansion valve: maximum aperture, opening coefficient, inlet tube length, outlet tube length, inlet tube diameter, outlet tube diameter, pressure drop, inlet pressure, outlet pressure, refrigerant flow, and other simulation parameters.
The simulation parameters for which the user actively sets the simulation parameter values by inputting are referred to as first part parameters, which are simulation parameters that the user is interested in, and the first part parameters may be one or more simulation parameters of all the simulation parameters, for example, the operating frequency of the simulation parameters of the compressor, or the operating frequency and the compressor displacement of the simulation parameters of the compressor, and the like. Of course, the first part of parameters may also be simulation parameters in one or more components, for example, the operating frequency in the simulation parameters of the compressor, the maximum aperture in the simulation parameters of the expansion valve, and the like.
And 12, setting the first part of parameters according to the simulation parameter values of the first part of parameters input by the user.
Step 13, acquiring simulation parameter values of a second part of parameters matched with the simulation parameter values of the first part of parameters based on a pre-constructed experiment database; the second part of parameters are simulation parameters except the first part of parameters in all simulation parameters.
Referring to the introduction of the first part of parameters, the rest simulation parameters which are not actively input by the user and are in the simulation parameters of the equipment to be simulated are called as second part of parameters, and the simulation parameters which are not actively input by the user and are automatically obtained in the step are recommended to the matched simulation parameters of the user.
And 14, if the simulation parameter values of the matched second part of parameters are obtained, setting the second part of parameters according to the obtained simulation parameter values of the matched second part of parameters.
In implementation, after the second part of parameters are set, all simulation parameters are set, and the simulation software can start simulation.
According to the scheme, when the device simulation experiment is carried out, a user does not need to manually set simulation parameter values of all simulation parameters in the simulation experiment one by one, but only inputs the simulation parameter values of a part of parameters, when the simulation parameter values input by the user to a first part of all simulation parameters are detected, the part of parameters are set, and the simulation parameter values matched with the simulation parameter values of the first part of parameters can be automatically obtained for the rest of second part of parameters except the first part of parameters based on a pre-constructed experiment database, and the rest of second part of parameters can be automatically matched and set according to the obtained simulation parameter values of the second part of parameters, so that the simulation parameter values of the part of parameters can be only input, the setting of all simulation parameters can be realized, and compared with the related technologies, the high speed and the high speed are realized, Efficient parameter setting, and then improved simulation experiment's efficiency greatly.
In addition, on one hand, the setting of all simulation parameters can be realized only by inputting the simulation parameter values of part of the parameters, the user can only input the most concerned parameters and can automatically set the parameters which are not concerned, so that the user is not required to know all the simulation parameters very much and the parameters which are not concerned can not be known, the technical requirements on the user are reduced, the experiment difficulty is reduced, and the simulation experiment efficiency is improved. On the other hand, because the simulation parameter values of the second part of parameters are matched with the simulation parameter values of the first part of parameters, the trial and error rate of the user is reduced, and the simulation experiment efficiency is further improved.
In implementation, the experiment database comprises a plurality of groups of experiment data; each set of experimental data includes preset parameter values of all simulation parameters. Correspondingly, in the step 13, based on the pre-constructed experimental database, the simulation parameter values of the second part of parameters matched with the simulation parameter values of the first part of parameters are obtained, and the specific implementation manner may include, but is not limited to: acquiring a plurality of groups of experimental data; for each group of experimental data, judging whether the preset parameter values of the first part of parameters are matched with the simulation parameter values of the first part of parameters; if the judgment result corresponding to at least one group of experimental data is matched, taking at least one group of experimental data with the matched judgment result as a candidate group; selecting a set of experimental data from the candidate set; and taking the preset parameter values of the second part of parameters in the selected group of experimental data as the simulation parameter values of the matched second part of parameters.
Because the preset parameter values of all the simulation parameters are stored in the experiment database, which is equivalent to storing the corresponding relationship between the first part of parameters and the second part of parameters, and the first part of parameters are the simulation parameters currently concerned by the user, in this embodiment, the simulation parameter values of the first part of parameters are used as search conditions, the experiment data including the preset parameter values matched with the simulation parameter values of the first part of parameters are searched from a plurality of groups of experiment data in the experiment database, the second part of parameters in the searched experiment data can be used as the simulation parameter values of the matched second part of parameters, the search result is very accurate and reasonable, and the trial-and-error rate is further reduced.
Of course, if the judgment results corresponding to each set of experimental data are all unmatched, determining that the simulation parameter values of the second matched part of parameters cannot be obtained. If the matched simulation parameter values of the second part of parameters are not obtained, the automatic setting of the second part of parameters cannot be completed, in this case, the parameters may be actively input by a user, and based on this, the method may further include: if the matched simulation parameter values of the second part of parameters cannot be obtained, obtaining simulation parameter values input by a user for the second part of parameters; and setting the second part of parameters according to the simulation parameter values of the second part of parameters input by the user.
In specific implementation, there are various implementation manners for selecting a group of experimental data from the candidate group, and the selection may be performed according to the actual requirement of the user on the device, for example, according to the requirement of the user on energy consumption. Based on this, in some embodiments, each set of experimental data further includes energy efficiency ratios of devices corresponding to preset parameter values of all simulation parameters, where an energy efficiency ratio is a ratio of energy conversion efficiency, the larger an energy efficiency ratio is, the more electric energy is saved, generally, the energy efficiency ratio standard has 1 to 5 grade marks, and the 1 grade and the 2 grade are energy saving devices. Based on this, the selecting a set of experimental data from the candidate set may specifically include: sequencing each group of experimental data in the candidate group according to the corresponding energy efficiency ratio; and selecting a group of experimental data meeting the requirement of the preset energy efficiency ratio from the candidates according to the sequencing result. Therefore, more reasonable simulation parameter values can be automatically matched according to the user requirements, and the trial and error rate of the user is further reduced.
According to the sorting result, a group of experimental data meeting the requirement of the preset energy efficiency ratio is selected from the candidates, and the method specifically includes: selecting each group of experimental data with the lowest energy consumption represented by the energy efficiency ratio from the candidate group; and selecting one group of experimental data from the groups of experimental data with the lowest energy consumption represented by the energy efficiency ratio. Because the device with the lowest energy consumption is designed and is the design target of the user, in the embodiment, the experimental data with the lowest energy consumption is directly selected and automatically set, the design target of the user is achieved, and the trial-and-error rate of the user is further reduced. For example, the experimental data with the energy consumption ratio standard of grade 1 can be selected, and is the most energy-saving experimental data.
There are various specific implementation manners for determining whether the preset parameter values of the first part of parameters are matched with the simulation parameter values of the first part of parameters, and in some embodiments, the specific implementation manners may include: determining a matching interval of simulation parameter values of the first part of parameters, wherein the matching interval comprises the simulation parameter values of the first part of parameters; judging whether preset parameter values of the first part of parameters are in a matching interval or not; if yes, determining that the preset parameter values of the first part of parameters are matched with the simulation parameter values of the first part of parameters; otherwise, determining that the preset parameter values of the first part of parameters are not matched with the simulation parameter values of the first part of parameters. In order to ensure the matching success rate, in this embodiment, a matching interval of simulation parameter values of the first part of parameters is set, and as long as preset parameter values of the first part of parameters are located in the matching interval, the first part of parameters can be considered as matched, so that the matching maximization is ensured. Assuming that the simulation parameter value of the operating frequency of the compressor is set to be 30Hz, a matching interval [25Hz,35Hz ] can be determined, and the preset parameter value of the operating frequency of the compressor is considered to be matched as long as the preset parameter value is in the matching interval [25Hz,35Hz ], for example, the preset parameter value of the operating frequency of the compressor in one set of experimental data is 31Hz, and the preset parameter value is considered to be matched with the simulation parameter value input by the user.
It should be noted that, if the first part of parameters includes a plurality of simulation parameters, when the preset parameter values of the plurality of simulation parameters all match the corresponding simulation parameter values input by the user, the preset parameter values of the first part of parameters may be considered to match the simulation parameter values of the first part of parameters, the trial-and-error rate of the matching result of the method is lower, and also as long as the preset parameter value of one of the simulation parameters in the first part of parameters matches the simulation parameter value input by the user, the preset parameter values of the first part of parameters may be considered to match the simulation parameter values of the first part of parameters, and the power of the matching result of the method is higher.
Because in the actual simulation experiment process, the user may input different simulation parameter values, and continuously perform the experiment and optimization, in some embodiments, after the second part of parameters is set, the method further includes: acquiring a revision value input by a user on a parameter to be revised in all simulation parameters; updating simulation parameter values of the first part of parameters according to the revised values of the parameters to be revised; and updating the simulation parameter values of the second part of parameters according to the updated simulation parameter values of the first part of parameters. The updating of the simulation parameter values of the first part of parameters according to the revised values of the parameters to be revised specifically includes:
if the parameter to be revised belongs to the first part of parameters, updating the simulation parameter value of the parameter to be revised according to the revised value of the parameter to be revised to obtain the updated simulation parameter value of the first part of parameters.
In the implementation, if the simulation parameters that have been input by the user are modified, and the types of the simulation parameters included in the first part of parameters and the second part of parameters do not change, the simulation parameter values of the corresponding simulation parameters are directly updated to the modified values, so that the updating of the simulation parameter values of the first part of parameters is completed, and then, based on the updated simulation parameter values of the first part of parameters, the scheme of the related embodiment is re-referred to, and the updated simulation parameter values of the second part of parameters are obtained.
And if the parameter to be revised belongs to the second part of parameters, updating the parameter to be revised from the second part of parameters to the first part of parameters, and updating the simulation parameter value of the parameter to be revised according to the revised value of the parameter to be revised to obtain the updated simulation parameter value of the first part of parameters.
In implementation, after the second part of parameters that have been set for the user to be automatically matched are automatically matched, if some simulation parameters in the second part of parameters are revised by the user, which indicates that the simulation parameters currently become the simulation parameters concerned by the user, the types of the simulation parameters included in the corresponding first part of parameters and second part of parameters change, at this time, the parameters to be revised should be transferred from the second part of parameters to the first part of parameters as a search condition, so that the updating of the simulation parameter values of the first part of parameters is completed, and then, based on the updated simulation parameter values of the first part of parameters, referring again to the scheme of the above related embodiment, the updated simulation parameter values of the second part of parameters may be obtained.
In the implementation, the revision value input by the user on the parameter to be revised can be acquired in real time, the simulation parameter value can be updated at any time, and the real-time automatic matching setting is realized.
The experimental database can be constructed in various ways. The inventor finds that at the stage of transition from laboratory experiments to simulation experiments, if the laboratory experiments are accumulated for many years, a large amount of precious experience data are accumulated, the data form a data island, and how to bridge the data island and the simulation experiments at the present stage is also a problem to be considered urgently. In order to fully utilize the empirical data of the laboratory, the inventor provides a construction mode of an experimental database, and based on this, the method can further comprise: acquiring real experimental data in a laboratory in advance; and constructing an experiment database according to the acquired real experiment data.
In this embodiment, the preset parameter values are real experimental data, so that the real experimental data in a laboratory is used as a data source of the experimental database, and based on this, the acquired simulation parameter values of the second part of parameters are closer to the real experimental values, which is more accurate and reasonable, and the trial-and-error rate is further reduced. Therefore, the existing massive empirical data of the laboratory is utilized as a data source of the experimental database, and based on the data source, after the database is constructed, the connection between a massive data island of the laboratory and simulation software is realized, the basis of intelligent setting is provided for parameter setting of the simulation software, a user does not need to know all simulation parameters very much, the use difficulty and complexity of the simulation software are reduced, the higher trial-and-error rate of the simulation software due to complicated parameter setting is reduced, the efficiency of the simulation software is improved, the simulation process is simplified and efficient, and the simulation software is more efficiently and conveniently used.
The following describes the simulation experiment parameter setting method provided in the embodiment of the present application in more detail, taking a scenario of an air conditioner simulation experiment as an example.
In an application scenario in this embodiment, simulation software is installed in a terminal in advance, when a simulation experiment needs to be performed on an air conditioner, the simulation software in the terminal is started, an air conditioning system at least including four major components, namely a compressor, an evaporator, a condenser and an expansion valve, is constructed in the simulation software, the air conditioning system needing to be simulated is connected in the simulation software, after the integrity of the system is checked, simulation parameter setting needs to be performed on the four major components in the air conditioning system, and specific simulation parameters may refer to simulation parameters exemplified in the above related embodiments.
When the four major components are set with the simulation parameters, a user can set part of parameters of one of the components, for example, a related experiment of the operating frequency of the compressor is required at present, and the user can only input a simulation parameter value of the operating frequency of one compressor, at this time, according to the simulation parameter setting method provided in the related embodiment, based on the experiment database, the simulation parameter values of the remaining simulation parameters matched with the simulation parameter value of the operating frequency of the compressor are found, and the found simulation parameter values are from a group of experiment data with the lowest energy consumption represented by the energy efficiency ratio in the experiment data, so that the trial-and-error rate of the user is reduced; after the simulation parameter values corresponding to the rest of the simulation parameters are found, the simulation software sets the parameters of all the components in the simulation software according to the simulation parameter values, so that automatic matching setting, namely presetting, is provided for a user.
In the process of continuing to set by the user, if which preset simulation parameter values are found to be inappropriate, the user can revise the preset simulation parameter values, and after the user revises the preset simulation parameter values, the simulation software matches a group of experimental data with the lowest energy consumption represented by the energy efficiency ratio from the experimental database again to update the simulation parameter setting of the component.
In the setting process, if the simulation software can not be matched with the corresponding simulation parameter value, the simulation parameter can not be preset, and the user inputs the simulation parameter value.
After the user sets the simulation parameter value, the simulation software reads the simulation parameter value set by the user and starts to simulate.
Referring to fig. 2, fig. 2 is a structural diagram of a simulation experiment parameter setting apparatus according to another embodiment of the present application.
As shown in fig. 2, the simulation experiment parameter setting apparatus provided in this embodiment includes:
a first obtaining module 201, configured to obtain simulation parameter values input by a user for a first part of all simulation parameters of a device to be simulated;
the first setting module 202 is configured to set a first part of parameters according to simulation parameter values of the first part of parameters input by a user;
a second obtaining module 203, configured to obtain simulation parameter values of a second part of parameters that are matched with the simulation parameter values of the first part of parameters based on a pre-constructed experiment database; the second part of parameters are simulation parameters except the first part of parameters in all simulation parameters;
and a second setting module 204, configured to, if the simulation parameter values of the matched second partial parameters are obtained, set the second partial parameters according to the obtained simulation parameter values of the matched second partial parameters.
Optionally, the experiment database includes a plurality of groups of experiment data; each group of experimental data comprises preset parameter values of all simulation parameters;
the second obtaining module is specifically configured to:
acquiring a plurality of groups of experimental data;
for each group of experimental data, judging whether the preset parameter values of the first part of parameters are matched with the simulation parameter values of the first part of parameters;
if the judgment result corresponding to at least one group of experimental data is matched, taking at least one group of experimental data with the matched judgment result as a candidate group;
selecting a set of experimental data from the candidate set;
and taking the preset parameter values of the second part of parameters in the selected group of experimental data as the simulation parameter values of the matched second part of parameters.
Optionally, the second obtaining module is further configured to determine that the simulation parameter values of the second part of parameters that are not matched are not obtained if the determination results corresponding to each group of experimental data are all unmatched.
Optionally, the second obtaining module is further configured to: if the matched simulation parameter values of the second part of parameters cannot be obtained, obtaining simulation parameter values input by a user for the second part of parameters;
and the second setting module is also used for setting the second part of parameters according to the simulation parameter values of the second part of parameters input by the user.
Optionally, each set of experimental data further includes energy efficiency ratios of the devices corresponding to preset parameter values of all simulation parameters; when a group of experimental data is selected from the candidate group, the second obtaining module is specifically configured to:
sequencing each group of experimental data in the candidate group according to the corresponding energy efficiency ratio;
and selecting a group of experimental data meeting the requirement of the preset energy efficiency ratio from the candidates according to the sequencing result.
Optionally, when a group of experimental data meeting the requirement of the preset energy efficiency ratio is selected from the candidates according to the sorting result, the second obtaining module is specifically configured to:
selecting each group of experimental data with the lowest energy consumption represented by the energy efficiency ratio from the candidate group;
and selecting one group of experimental data from the groups of experimental data with the lowest energy consumption represented by the energy efficiency ratio.
Optionally, when determining whether the preset parameter values of the first part of parameters match the simulation parameter values of the first part of parameters, the second obtaining module is specifically configured to:
determining a matching interval of simulation parameter values of the first part of parameters, wherein the matching interval comprises the simulation parameter values of the first part of parameters;
judging whether preset parameter values of the first part of parameters are in a matching interval or not;
if yes, determining that the preset parameter values of the first part of parameters are matched with the simulation parameter values of the first part of parameters;
otherwise, determining that the preset parameter values of the first part of parameters are not matched with the simulation parameter values of the first part of parameters.
Optionally, the first obtaining module is further configured to obtain a revision value input by the user for a parameter to be revised in all simulation parameters after the second part of parameters is set; updating simulation parameter values of the first part of parameters according to the revised values of the parameters to be revised;
and the second acquisition module is further used for updating the simulation parameter values of the second part of parameters according to the updated simulation parameter values of the first part of parameters.
Optionally, when the simulation parameter values of the first part of parameters are updated according to the revised values of the parameters to be revised, the first obtaining module is specifically configured to:
if the parameter to be revised belongs to the first part of parameters, updating the simulation parameter value of the parameter to be revised according to the revised value of the parameter to be revised to obtain the updated simulation parameter value of the first part of parameters;
if the parameter to be revised belongs to the second part of parameters, updating the parameter to be revised from the second part of parameters to the first part of parameters, and updating the simulation parameter value of the parameter to be revised according to the revised value of the parameter to be revised to obtain the updated simulation parameter value of the first part of parameters.
Optionally, the apparatus further includes a building module, where the building module is configured to:
acquiring real experimental data in a laboratory in advance;
and constructing an experiment database according to the acquired real experiment data.
Optionally, all the simulation parameters are simulation parameters of the heating and ventilation device.
Optionally, the heating and ventilation device is an air conditioner.
The specific implementation of the simulation experiment parameter setting device provided in the embodiment of the present application may refer to the implementation of the simulation experiment parameter setting method in any of the above examples, and details are not repeated here.
Referring to fig. 3, fig. 3 is a structural diagram of a simulation experiment parameter setting device according to another embodiment of the present application.
As shown in fig. 3, the simulation experiment parameter setting device provided in this embodiment includes:
a processor 301, and a memory 302 connected to the processor 301;
the memory 302 is used to store computer programs;
the processor 301 is adapted to invoke and execute a computer program in the memory to perform the steps of the method according to any of the above embodiments.
The specific implementation of the simulation experiment parameter setting device provided in the embodiment of the present application may refer to the implementation of the simulation experiment parameter setting method in any of the above embodiments, and details are not repeated here.
Another embodiment of the present application further provides a storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method according to any of the above embodiments.
The specific implementation of the storage medium provided in the embodiment of the present application may refer to the implementation of the simulation experiment parameter setting method in any of the above examples, and details are not described here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (15)
1. A method for setting simulation experiment parameters is characterized by comprising the following steps:
acquiring simulation parameter values input by a user in a first part of all simulation parameters of equipment to be simulated;
setting the first part of parameters according to simulation parameter values of the first part of parameters input by a user;
acquiring simulation parameter values of a second part of parameters matched with the simulation parameter values of the first part of parameters based on a pre-constructed experiment database; the second part of parameters are simulation parameters except the first part of parameters in all simulation parameters;
and if the simulation parameter values of the matched second part of parameters are acquired, setting the second part of parameters according to the acquired simulation parameter values of the matched second part of parameters.
2. The method of claim 1, wherein the experimental database comprises a plurality of sets of experimental data; each group of experimental data comprises preset parameter values of all simulation parameters;
the acquiring of the simulation parameter values of the second part of parameters matched with the simulation parameter values of the first part of parameters based on the pre-constructed experiment database comprises:
acquiring the multiple groups of experimental data;
for each group of experimental data, judging whether the preset parameter values of the first part of parameters are matched with the simulation parameter values of the first part of parameters;
if the judgment result corresponding to at least one group of experimental data is matched, taking at least one group of experimental data with the matched judgment result as a candidate group;
selecting a set of experimental data from the candidate set;
and taking the preset parameter values of the second part of parameters in the selected group of experimental data as the simulation parameter values of the matched second part of parameters.
3. The method according to claim 2, wherein if the judgment results corresponding to each set of experimental data are all unmatched, determining that the simulation parameter values of the matched second part of parameters cannot be obtained.
4. The method according to any one of claims 1 to 3, further comprising:
if the simulation parameter values of the matched second part parameters cannot be obtained, obtaining simulation parameter values input by a user for the second part parameters;
and setting the second part of parameters according to the simulation parameter values of the second part of parameters input by a user.
5. The method according to claim 2, wherein each set of experimental data further includes energy efficiency ratios of the devices corresponding to preset parameter values of all simulation parameters;
said selecting a set of experimental data from said candidate set comprising:
sequencing each group of experimental data in the candidate group according to the corresponding energy efficiency ratio;
and selecting a group of experimental data meeting the preset energy efficiency ratio requirement from the candidates according to the sequencing result.
6. The method according to claim 5, wherein the selecting a set of experimental data from the candidates according to the ranking result, which satisfies a preset energy efficiency ratio requirement, comprises:
selecting each group of experimental data with the lowest energy consumption represented by the energy efficiency ratio from the candidate group;
and selecting one group of experimental data from the groups of experimental data with the lowest energy consumption represented by the energy efficiency ratio.
7. The method of claim 2, wherein the determining whether the preset parameter values of the first part of parameters match the simulation parameter values of the first part of parameters comprises:
determining a matching interval of simulation parameter values of the first part of parameters, wherein the matching interval contains the simulation parameter values of the first part of parameters;
judging whether preset parameter values of the first part of parameters are in the matching interval or not;
if yes, determining that preset parameter values of the first part of parameters are matched with simulation parameter values of the first part of parameters;
otherwise, determining that the preset parameter values of the first part of parameters are not matched with the simulation parameter values of the first part of parameters.
8. The method according to claim 1, wherein after the setting of the second partial parameter, the method further comprises:
acquiring a revision value input by a user on a parameter to be revised in all simulation parameters;
updating simulation parameter values of the first part of parameters according to the revised values of the parameters to be revised;
and updating the simulation parameter values of the second part of parameters according to the updated simulation parameter values of the first part of parameters.
9. The method of claim 8, wherein updating the simulation parameter values of the first part of parameters according to the revised values of the parameters to be revised comprises:
if the parameter to be revised belongs to the first part of parameters, updating the simulation parameter value of the parameter to be revised according to the revised value of the parameter to be revised to obtain the updated simulation parameter value of the first part of parameters;
if the parameter to be revised belongs to the second part of parameters, updating the parameter to be revised from the second part of parameters to the first part of parameters, and updating the simulation parameter value of the parameter to be revised according to the revised value of the parameter to be revised to obtain the updated simulation parameter value of the first part of parameters.
10. The method of claim 1, further comprising:
acquiring real experimental data in a laboratory in advance;
and constructing the experiment database according to the collected real experiment data.
11. The method of claim 1, wherein all of the simulation parameters are simulation parameters of the heating and ventilation device.
12. The method of claim 11, wherein the heating and ventilation device is an air conditioner.
13. A simulation experiment parameter setting device is characterized by comprising:
the first acquisition module is used for acquiring simulation parameter values input by a user in a first part of all simulation parameters of the equipment to be simulated;
the first setting module is used for setting the first part of parameters according to simulation parameter values of the first part of parameters input by a user;
the second acquisition module is used for acquiring simulation parameter values of a second part of parameters matched with the simulation parameter values of the first part of parameters based on a pre-constructed experiment database; the second part of parameters are simulation parameters except the first part of parameters in all simulation parameters;
and the second setting module is used for setting the second part of parameters according to the acquired simulation parameter values of the matched second part of parameters if the simulation parameter values of the matched second part of parameters are acquired.
14. A simulation experiment parameter setting device is characterized by comprising:
a processor, and a memory coupled to the processor;
the memory is used for storing a computer program;
the processor is configured to invoke and execute the computer program in the memory to perform the steps of the method of any one of claims 1-12.
15. A storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, carries out the steps of the method according to any one of claims 1-12.
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