CN110188490A - Method and device for improving data simulation efficiency, storage medium and electronic device - Google Patents
Method and device for improving data simulation efficiency, storage medium and electronic device Download PDFInfo
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Abstract
The invention provides a method and a device for improving data simulation efficiency, a storage medium and an electronic device; wherein, the method comprises the following steps: periodically inquiring whether a first simulation calculation process exists at present; under the condition that the inquiry result is that the process of the first simulation calculation does not exist at present, triggering the working condition data to be processed to perform second simulation calculation; and saving the calculation result of the second simulation calculation to a database. According to the invention, the simulation calculation of the working condition data is carried out by utilizing the neutral period of the simulation calculation, so that the problems of long time and high energy consumption of dynamic simulation calculation carried out by a water system energy consumption simulation platform by importing or utilizing the existing meteorological and room data in the related technology are solved, and the effects of reducing energy consumption and improving user experience are achieved.
Description
Technical field
The present invention relates to data simulation field, in particular to a kind of method and device for improving data simulation efficiency,
Storage medium and electronic device.
Background technique
At present in HVAC industry, Air Conditioning Facilities energy consumption problem is significant concern point, always all in deep spy in industry
It begs for；And to lectotype selection, whether reasonable, energy conservation has no establishing criteria, equipment manufacturer to the design of progress designing institute's early period system in industry
Whether reasonable carry out Energy Saving Strategy when group control system design, system connects EERS and runs how many and do not know, only in engineering site
It is artificially debugged according to end load operating condition, answer can be just known after system stable operation long-time.
Based on this, the research and development of water system energy simulation platform have been carried out；Water system energy simulation platform is in determining water system
Under system form, each equipment of configuration appropriate, then by importing or dynamically being imitated using existing meteorological and room data
The platform really calculated, wherein containing high-speed simulation and depth emulation, depth emulation is to be carried out with 10 seconds for a step-length
A dynamic simulation need to calculate 8640 steps if calculating one day time, if calculating 1 year data, then need to calculate 3153600
Step, huge due to its calculation amount, the data calculated 1 year at present may need one day even longer time, user experience very not friendly
It is good.
In view of the above problems in the related art, not yet there is effective solution at present.
Summary of the invention
The embodiment of the invention provides a kind of method and device for improving data simulation efficiency, storage medium and electronics dresses
Set, at least solve the relevant technologies grey water system energy simulation platform by import or using existing meteorological and room data into
The high problem of the simulation calculation time long energy consumption of Mobile state.
According to one embodiment of present invention, the method for improving data simulation efficiency is provided, comprising: periodic queries are worked as
The preceding process that whether there is the first simulation calculation；It is the case where there is currently no the processes of the first simulation calculation in query result
Under, it triggers and the second simulation calculation is carried out to floor data to be processed；The calculated result of second simulation calculation is saved in
Database.
According to another embodiment of the invention, a kind of device for improving data simulation efficiency is provided, comprising: inquiry mould
Block currently whether there is the process of the first simulation calculation for periodic queries；Emulation module, for being current in query result
There is no in the case where the process of the first simulation calculation, triggers and the second simulation calculation is carried out to floor data to be processed；It saves
Module, for the calculated result of second simulation calculation to be saved in database.
According to still another embodiment of the invention, a kind of storage medium is additionally provided, meter is stored in the storage medium
Calculation machine program, wherein the computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
According to still another embodiment of the invention, a kind of electronic device, including memory and processor are additionally provided, it is described
Computer program is stored in memory, the processor is arranged to run the computer program to execute any of the above-described
Step in embodiment of the method.
It is just set out in the case where the process of the first simulation calculation is not present to operating condition number to be processed by the application
According to the second simulation calculation of progress and save simulation result；That is, being in other no simulation calculations in this application
Progress in the case where carry out the simulation calculation of floor data, so that neutral gear phase that simulation calculation is utilized carries out floor data
Simulation calculation, to solve the relevant technologies grey water system energy simulation platform by importing or utilizing existing meteorological and room
Data carry out the high problem of dynamic simulation calculation time long energy consumption, have achieved the effect that reduce energy consumption and have improved user experience.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of hardware block diagram of the terminal of the method for raising data simulation efficiency of the embodiment of the present invention；
Fig. 2 is the flow chart of the method according to an embodiment of the present invention for improving data simulation efficiency；
Fig. 3 is the schematic diagram of the pre- emulation according to an embodiment of the present invention based on big data；
Fig. 4 is the structural block diagram of the device according to an embodiment of the present invention for improving data simulation efficiency；
Fig. 5 is the alternative construction block diagram of the device according to an embodiment of the present invention for improving data simulation efficiency.
Specific embodiment
Hereinafter, the present invention will be described in detail with reference to the accompanying drawings and in combination with Examples.It should be noted that not conflicting
In the case of, the features in the embodiments and the embodiments of the present application can be combined with each other.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.
Embodiment 1
Embodiment of the method provided by the embodiment of the present application one can be filled in terminal, terminal or similar operation
Set middle execution.For running at the terminal, Fig. 1 is a kind of end of the method for raising data simulation efficiency of the embodiment of the present invention
The hardware block diagram at end.As shown in Figure 1, terminal 10 may include one or more (only showing one in Fig. 1) processors 102
It (processing unit that processor 102 can include but is not limited to Micro-processor MCV or programmable logic device FPGA etc.) and is used for
The memory 104 of storing data, optionally, above-mentioned terminal can also include for the transmission device 106 of communication function and defeated
Enter output equipment 108.It will appreciated by the skilled person that structure shown in FIG. 1 is only to illustrate, not to above-mentioned end
The structure at end causes to limit.For example, terminal 10 may also include than shown in Fig. 1 more perhaps less component or have with
Different configuration shown in Fig. 1.
Memory 104 can be used for storing computer program, for example, the software program and module of application software, such as this hair
The corresponding computer program of method of raising data simulation efficiency in bright embodiment, processor 102 are stored in by operation
Computer program in reservoir 104 realizes above-mentioned method thereby executing various function application and data processing.Storage
Device 104 may include high speed random access memory, may also include nonvolatile memory, as one or more magnetic storage device,
Flash memory or other non-volatile solid state memories.In some instances, memory 104 can further comprise relative to processing
The remotely located memory of device 102, these remote memories can pass through network connection to terminal 10.The example packet of above-mentioned network
Include but be not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Transmitting device 106 is used to that data to be received or sent via a network.Above-mentioned network specific example may include
The wireless network that the communication providers of terminal 10 provide.In an example, transmitting device 106 includes a network adapter
(Network Interface Controller, referred to as NIC), can be connected by base station with other network equipments so as to
It is communicated with internet.In an example, transmitting device 106 can be radio frequency (Radio Frequency, referred to as RF)
Module is used to wirelessly be communicated with internet.
A kind of method of raising data simulation efficiency for running on above-mentioned terminal is provided in the present embodiment, and Fig. 2 is root
According to the flow chart of the method for the raising data simulation efficiency of the embodiment of the present invention, as shown in Fig. 2, the process includes the following steps:
Step S202, periodic queries currently whether there is the process of the first simulation calculation；
Step S204 is there is currently no in the case where the process of the first simulation calculation in query result, and place is treated in triggering
The floor data of reason carries out the second simulation calculation；
The calculated result of second simulation calculation is saved in database by step S206.
S202 to step S206 through the above steps just sets out in the case where the process of the first simulation calculation is not present
Second simulation calculation is carried out to floor data to be processed and saves simulation result；That is, be in this application
Without other simulation calculations progress in the case where carry out floor data simulation calculation, so that the neutral gear of simulation calculation be utilized
Phase carries out the simulation calculation of floor data, to solve the relevant technologies grey water system energy simulation platform by importing or utilizing
Existing meteorological and room data carries out the high problem of dynamic simulation calculation time long energy consumption, has reached reduction energy consumption and raising
The effect of user experience.
In an optional embodiment of the present embodiment, is triggered in step S204 and floor data to be processed is carried out
Before second simulation calculation, the method for the present embodiment can also include:
Step S200 obtains the floor data of user's input；
Step S201 carries out big data analysis to the floor data of input and obtains the floor data at place to be managed.
S200 and step S201 is it is found that the floor data to be processed being related in the application is to pass through through the above steps
What big data analysis obtained, to reduce the disagreeableness experience sense for carrying out generating when depth emulation due to taking long time.
One of the present embodiment it is optional be the acquisition user that the embodiment of the present application step S200 is related in embodiment
The mode of the floor data of input can be achieved in that
Step S200-11 acquires the floor data that user inputs on emulation platform by interface server；
Step S200-12 sends Hadoop cluster server for the floor data that user inputs based on interface server,
Wherein, the floor data of input is stored in the storage server of Hadoop cluster server.
For above-mentioned steps S200-11 and step S200-12, it may is that collect first in specific application scenarios and use
The floor data that family inputs on emulation platform, issues interface server；And then interface server receives data acquisition and sends
Data, receive data using message-oriented middleware, using flume component, transmit data to hadoop cluster, data are arrived in storage
In warehouse.In the preferred embodiment of the application, the Hadoop cluster being related in the application totally 20 servers, 4 pipes
Reason node and 15 memory nodes, data are stored on HDFS.
Certain above-mentioned server in Hadoop cluster is for example, should in other application scenarios
Hadoop cluster can be for 30 or 10 servers, and the quantity of management node and memory node can also be adjusted according to corresponding
It is whole.
The periodic queries being related in another optional embodiment of the present embodiment, the application step S202 are current
With the presence or absence of the mode of the process of the first simulation calculation, step can realize by the following method:
Step S202-12, setting is used for the plug-in unit of query procedure in Hadoop cluster server；
Step S202-13 currently whether there is the process of the first simulation calculation based on plug-in unit periodic queries.
For the plug-in unit being related in above-mentioned steps S202-12 and step S202-13, in the concrete application scene of the application
In may is that Windows servlet A；Windows servlet A is placed on the server, which realizes every
Every inquiry in 10 minutes (or other preset time periods), whether there is or not the processes for carrying out the first simulation calculation, if nothing, called above logical
It crosses the floor data starting depth emulation that big data analysis obtains and carries out energy simulation calculating, and store data into corresponding number
According to library.
In another optional embodiment of the present embodiment, the method and step of the present embodiment can also include: step
S208 calls the meter of the second simulation calculation of preservation in the case where user inputs the floor data emulated in advance from database
It calculates as a result, and being presented to user.
The application is illustrated below with reference to the specific embodiment of the present embodiment；
The specific embodiment proposes a kind of pre- emulation mode based on big data, and which is by collecting user to same
The input operating condition in region carries out big data analysis, show that user is possible to the operating condition of input, is started automatically using server neutral gear
Depth emulation carries out energy simulation calculating, not only reduces user and generate not friendly when depth emulation due to taking long time
Good experience sense, while also reducing huge memory pressure caused by server excessively and is simultaneously calculated in user.
Fig. 3 is the schematic diagram of the pre- emulation according to an embodiment of the present invention based on big data, is based on Fig. 3, should be based on big number
According to the method and step of pre- emulation mode include:
Data acquisition: S1 collects the floor data that user inputs on emulation platform, issues interface server；
S2, interface server receive data and acquire the data sent, receive data using message-oriented middleware, use
Flume component transmits data to hadoop cluster, stores into data warehouse.
S3, totally 20 servers, 4 management nodes and 15 memory nodes, data are stored on HDFS hadoop cluster.
S4, by Windows servlet A place on the server, the service realize every 10 minutes inquiry whether there is or not into
The process of row simulation calculation calls the floor data starting depth emulation obtained above by big data analysis to carry out if nothing
Energy simulation calculates, and stores data into corresponding database；
S5 then calls directly associated databases when user inputs the operating condition emulated in advance on energy simulation platform, will protect
The format export that the pre- emulation data deposited are needed with user；
Based on S1 through the above steps to step S5, server time dead is effectively utilized, carries out time-consuming huge
Depth simulation calculation not only reduces server memory pressure caused by server due to calculation amount is huge, also to user's body
Test further progress optimization.
Through the above description of the embodiments, those skilled in the art can be understood that according to above-mentioned implementation
The method of example can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but it is very much
In the case of the former be more preferably embodiment.Based on this understanding, technical solution of the present invention is substantially in other words to existing
The part that technology contributes can be embodied in the form of software products, which is stored in a storage
In medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, calculate
Machine, server or network equipment etc.) execute method described in each embodiment of the present invention.
Embodiment 2
A kind of device for improving data simulation efficiency is additionally provided in the present embodiment, and the device is for realizing above-mentioned implementation
Example and preferred embodiment, the descriptions that have already been made will not be repeated.As used below, term " module " may be implemented pre-
Determine the combination of the software and/or hardware of function.Although device described in following embodiment is preferably realized with software,
The realization of the combination of hardware or software and hardware is also that may and be contemplated.
Fig. 4 is the structural block diagram of the device according to an embodiment of the present invention for improving data simulation efficiency, as shown in figure 4, should
Device includes: enquiry module 42, currently whether there is the process of the first simulation calculation for periodic queries；Emulation module 44,
It couples and links with enquiry module 42, for being to be touched there is currently no in the case where the process of the first simulation calculation in query result
It sends out and the second simulation calculation is carried out to floor data to be processed；Preserving module 46 is coupled with emulation module 44 and is linked, for by the
The calculated result of two simulation calculations is saved in database.
Fig. 5 is the alternative construction block diagram of the device according to an embodiment of the present invention for improving data simulation efficiency, such as Fig. 5 institute
Show, the device include: obtain module 52, couple and links with analysis module 52, for trigger to floor data to be processed into
Before the second simulation calculation of row, the floor data of user's input is obtained；Analysis module 54 is coupled with emulation module 44 and is linked, and is used
The floor data at place to be managed is obtained in carrying out big data analysis to the floor data of input.
Optionally, the acquisition module being related in the present embodiment is further can include: acquisition unit exists for acquiring user
The floor data inputted on emulation platform；Transmission unit, for being sent to Hadoop collection based on the floor data for inputting user
Group's server, wherein the floor data of input is stored in the storage server of Hadoop cluster server.
It should be noted that above-mentioned modules can be realized by software or hardware, for the latter, Ke Yitong
Following manner realization is crossed, but not limited to this: above-mentioned module is respectively positioned in same processor；Alternatively, above-mentioned modules are with any
Combined form is located in different processors.
Embodiment 3
The embodiments of the present invention also provide a kind of storage medium, computer program is stored in the storage medium, wherein
The computer program is arranged to execute the step in any of the above-described embodiment of the method when operation.
Optionally, in the present embodiment, above-mentioned storage medium can be set to store by executing based on following steps
Calculation machine program:
S1, periodic queries currently whether there is the process of the first simulation calculation；
S2 is to trigger there is currently no in the case where the process of the first simulation calculation to work to be processed in query result
Condition data carry out the second simulation calculation；
The calculated result of second simulation calculation is saved in database by S3.
Optionally, in the present embodiment, above-mentioned storage medium can include but is not limited to: USB flash disk, read-only memory (Read-
Only Memory, referred to as ROM), it is random access memory (Random Access Memory, referred to as RAM), mobile hard
The various media that can store computer program such as disk, magnetic or disk.
The embodiments of the present invention also provide a kind of electronic device, including memory and processor, stored in the memory
There is computer program, which is arranged to run computer program to execute the step in any of the above-described embodiment of the method
Suddenly.
Optionally, above-mentioned electronic device can also include transmission device and input-output equipment, wherein the transmission device
It is connected with above-mentioned processor, which connects with above-mentioned processor.
Optionally, in the present embodiment, above-mentioned processor can be set to execute following steps by computer program:
S1, periodic queries currently whether there is the process of the first simulation calculation；
S2 is to trigger there is currently no in the case where the process of the first simulation calculation to work to be processed in query result
Condition data carry out the second simulation calculation；
The calculated result of second simulation calculation is saved in database by S3.
Optionally, the specific example in the present embodiment can be with reference to described in above-described embodiment and optional embodiment
Example, details are not described herein for the present embodiment.
Obviously, those skilled in the art should be understood that each module of the above invention or each step can be with general
Computing device realize that they can be concentrated on a single computing device, or be distributed in multiple computing devices and formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
It is performed by computing device in the storage device, and in some cases, it can be to be different from shown in sequence execution herein
Out or description the step of, perhaps they are fabricated to each integrated circuit modules or by them multiple modules or
Step is fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific hardware and softwares to combine.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.It is all within principle of the invention, it is made it is any modification, etc.
With replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of method of data simulation characterized by comprising
Periodic queries currently whether there is the process of the first simulation calculation；
Query result be there is currently no in the case where the process of the first simulation calculation, triggering to floor data to be processed into
The second simulation calculation of row；
The calculated result of second simulation calculation is saved in database.
2. the method according to claim 1, wherein carrying out second to floor data to be processed in the triggering
Before simulation calculation, the method also includes:
Obtain the floor data of user's input；
Big data analysis is carried out to the floor data of input and obtains the floor data at the place to be managed.
3. according to the method described in claim 2, it is characterized in that, the floor data for obtaining user's input, comprising:
The floor data that user inputs on emulation platform is acquired by interface server；
Hadoop cluster server is sent by the floor data that user inputs based on the interface server, wherein described defeated
The floor data entered is stored in the storage server of the Hadoop cluster server.
4. according to the method described in claim 3, it is characterized in that, the periodic queries currently whether there is the first emulation meter
The process of calculation, comprising:
Setting is used for the plug-in unit of query procedure in the Hadoop cluster server；
It currently whether there is the process of the first simulation calculation based on the plug-in unit periodic queries.
5. method according to claim 1 to 4, which is characterized in that the method also includes:
In the case where user inputs the floor data emulated in advance, the second emulation meter of preservation is called from the database
The calculated result of calculation, and presented to the user.
6. a kind of device of data simulation characterized by comprising
Enquiry module currently whether there is the process of the first simulation calculation for periodic queries；
Emulation module, for being there is currently no in the case where the process of the first simulation calculation in query result, place is treated in triggering
The floor data of reason carries out the second simulation calculation；
Preserving module, for the calculated result of second simulation calculation to be saved in database.
7. device according to claim 6, which is characterized in that described device further include:
Module is obtained, for it is defeated to obtain user before the triggering carries out the second simulation calculation to floor data to be processed
The floor data entered；
Analysis module obtains the floor data at the place to be managed for carrying out big data analysis to the floor data of input.
8. device according to claim 7, which is characterized in that the acquisition module includes:
Acquisition unit, the floor data inputted on emulation platform for acquiring user；
Transmission unit, for being sent to Hadoop cluster server based on the floor data for inputting user, wherein the input
Floor data be stored in the storage server of the Hadoop cluster server.
9. a kind of storage medium, which is characterized in that be stored with computer program in the storage medium, wherein the computer
Program is arranged to execute method described in any one of claim 1 to 5 when operation.
10. a kind of electronic device, including memory and processor, which is characterized in that be stored with computer journey in the memory
Sequence, the processor are arranged to run the computer program to execute side described in any one of claim 1 to 5
Method.
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| CN112182769A (en) * | 2020-10-10 | 2021-01-05 | 中国运载火箭技术研究院 | Flexible semi-physical simulation method and device, computer storage medium and electronic equipment |
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