CN112131178A - Data processing method and device and determining method and device for fan load calculation - Google Patents
Data processing method and device and determining method and device for fan load calculation Download PDFInfo
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Abstract
The disclosure provides a data processing method and device and a determining method and device for fan load calculation. A data processing method for fan load calculation is applied to a client and comprises the following steps: creating a sub-working condition parameter file of the total working condition under a local main path according to target fan project parameters, wherein the target fan project parameters comprise target fan model parameters and target wind resource parameters; and sending the sub-working condition parameter file, the target wind file and the target external control file to a server, wherein the sub-working condition parameter file, the target wind file and the target external control file are used for the server to calculate the fan load. The sub-working condition parameter file is directly generated at the local part of the client side, but not generated at the server, so that the server directly calculates the fan load for the sub-working condition parameter file, the problem of low speed of generating the sub-working condition parameter file due to the fact that the number of CPU cores of the server is small is avoided, and the fan load calculation efficiency is improved.
Description
Technical Field
The disclosure relates to the field of fan load calculation, and in particular to a fan load calculation data processing method and device and a fan load calculation determining method and device.
Background
With the continuous update of the load calculation standard of a wind generating set (called a fan for short), the calculation number of the load working conditions of the fan is increased, and the number of the load working conditions of the fan reaches as many as four thousand working conditions, so that a method for quickly generating the load working conditions of the fan is needed, and the working efficiency is improved. At present, the fan load is mainly calculated through the cooperation of the Bladed software and the cloud computing, but with the continuous upgrading of the Bladed software, the method for calculating the fan load through the cooperation of the original Bladed software and the cloud computing is invalid, so that the existing Bladed software is not matched with the cloud computing, and the calculation efficiency of the fan load is finally influenced. Based on this, it is important to provide a method capable of improving the fan load calculation efficiency.
Disclosure of Invention
The disclosure provides an improved data processing method and device and an improved determining method and device for fan load calculation.
One aspect of the present disclosure provides a data processing method for fan load calculation, applied to a client, where the method includes:
creating a sub-working condition parameter file of a total working condition under a local main path according to target fan project parameters, wherein the target fan project parameters comprise target fan model parameters and target wind resource parameters;
and sending the sub-working condition parameter file, the target wind file and the target external control file to a server, wherein the sub-working condition parameter file, the target wind file and the target external control file are used for the server to calculate the fan load.
Optionally, the sub-condition parameter file stores: a server path of the target wind file and a server path of the target external control file;
the step of sending the sub-working condition parameter file, the target wind file and the target external control file to a server comprises the following steps:
sending the target wind file to a server path of the target wind file;
and sending the target external control file to a server path of the target external control file.
Optionally, the creating, according to the target fan project parameter, a sub-operating condition parameter file of a total operating condition in the local main path includes:
acquiring a parameter template file, wherein the parameter template file stores a local initial path of a wind file and a local initial path of an external control file;
rewriting the local initial path of the wind file into the local path of the target wind file, and rewriting the local initial path of the external control file into the local path of the target external control file;
and rewriting the local path of the target wind file into the server path of the target wind file, and rewriting the local path of the target external control file into the server path of the target external control file.
Optionally, the creating, according to the target fan project parameter, a sub-operating condition parameter file of a total operating condition in the local main path includes:
acquiring a parameter template file, wherein the parameter template file stores initial fan project parameters;
and rewriting the initial fan project parameters into the target fan project parameters.
Optionally, the obtaining a parameter template file includes:
acquiring a visual initial file locally, wherein the visual initial file stores an initial fan project parameter, a local initial path of a wind file and a local initial path of an external control file;
and generating the parameter template file according to the visual initial file.
Optionally, the target fan project parameters include a first target fan project parameter and a second target fan project parameter; the method further comprises the following steps:
acquiring the first target fan project parameter input by a user through a client interface;
determining a second target fan project parameter according to the first target fan project parameter;
and creating a visual sub-working condition load file of the total working condition under a local main path according to the first target fan project parameter and the second target fan project parameter.
Optionally, the creating a visual sub-condition load file of a total condition under a local main path according to the target fan project parameter includes:
acquiring a visual initial file locally, wherein the visual initial file stores the initial fan project parameters;
generating a visual template file according to the visual initial file, wherein the visual template file stores initial fan project parameters;
and rewriting the initial fan project parameters of the visual template file into the target fan project parameters.
Optionally, the method further comprises:
creating a calculation sequence file of the total working condition under the local main path, wherein the calculation sequence file stores a calculation sequence and a server path of a plurality of sub-working condition parameter files;
and sending the calculation sequence file to the server, wherein the calculation sequence file is used for enabling the server to calculate the fan load according to the calculation sequence of the sub-working condition parameter files and the server path.
Another aspect of the present disclosure provides a wind turbine load determination method applied to a server, including:
receiving a sub-working condition parameter file, a target wind file and a target external control file of the total working condition, which are sent by a client, wherein the sub-working condition parameter file of the total working condition is created in a local main path of the client according to a target fan project parameter, and the target fan project parameter comprises a target fan model parameter and a target wind resource parameter;
and calculating the fan load according to the sub-working condition parameter file, the target wind file and the target external control file.
Optionally, the method further comprises:
receiving a calculation sequence file sent by the client, wherein the calculation sequence file is created in a local main path of the client, and the calculation sequence file stores a calculation sequence and a server path of a plurality of sub-working condition parameter files;
and searching the corresponding sub-working condition parameter file according to the calculation sequence stored in the calculation sequence file and the server path, and calculating the fan load.
Another aspect of the present disclosure provides a computer-readable storage medium having a program stored thereon, the program, when executed by a processor, implementing the data processing method of the wind turbine load calculation described in any of the above.
Another aspect of the present disclosure provides a data processing apparatus for wind turbine load calculation, including one or more processors, for implementing the data processing method for wind turbine load calculation mentioned in any one of the above.
Another aspect of the present disclosure provides a computer-readable storage medium having a program stored thereon, which when executed by a processor, implements any of the above-mentioned fan load determination methods.
Another aspect of the present disclosure provides a wind turbine load determination apparatus, including one or more processors, for implementing any of the above-mentioned wind turbine load determination methods.
The technical scheme provided by the embodiment of the disclosure has at least the following beneficial effects:
according to the data processing method for calculating the fan load, the sub-working condition parameter file of the total working condition is created in the local main path of the client, and then the sub-working condition parameter file, the target wind file and the target external control file are sent to the server, so that the server calculates the fan load according to the sub-working condition parameter file, the target wind file and the target external control file. The sub-working condition parameter file is directly generated locally at the client, so that the server directly calculates the fan load for the sub-working condition parameter file, the problem of low speed of generating the sub-working condition parameter file due to the fact that the number of CPU cores of the server is small is solved, and the fan load calculation efficiency is improved.
Drawings
FIG. 1 is a schematic diagram illustrating an application scenario in accordance with an exemplary embodiment of the present disclosure;
FIG. 2 illustrates a flow chart of a data processing method of wind turbine load calculation according to an exemplary embodiment of the present disclosure;
FIG. 3 is a sub-flowchart of step 21 of FIG. 2;
FIG. 4 is a flow chart illustrating a data processing method of wind turbine load calculation according to an exemplary embodiment of the present disclosure;
FIG. 5 is a sub-flowchart of step 203 of FIG. 4;
FIG. 6 is a flow chart illustrating a data processing method of wind turbine load calculation according to an exemplary embodiment of the present disclosure;
FIG. 7 illustrates a flow chart of a method of determining a wind turbine load according to an exemplary embodiment of the present disclosure;
FIG. 8 is a functional block diagram illustrating a data processing apparatus for wind turbine load calculation according to an exemplary embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. Unless otherwise defined, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in the description and claims does not indicate any order, quantity, or importance, but rather is used to distinguish one element from another. Also, the use of the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. Unless otherwise indicated, the word "comprise" or "comprises", and the like, means that the element or item listed before "comprises" or "comprising" covers the element or item listed after "comprises" or "comprising" and its equivalents, and does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect.
As used in this disclosure and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
In some embodiments, the wind turbine load is calculated by Bladed software in cooperation with cloud computing. Before the Bladed software and cloud computing are matched to calculate the fan load, a local working condition load file ($ PJ file) needs to be added to the Bladed software, a sub-working condition parameter file (dtbladed.in file) corresponding to the sub-working condition load file in the working condition load file needs to be generated in a node of a server, and then the server calculates the fan load based on the sub-working condition parameter file.
However, when the number of CPU cores of the server is small, the processing speed is slow, which is not favorable for improving the calculation efficiency of the fan load.
The present disclosure provides a data processing method for fan load calculation, which is applied to a client, and the method includes: creating a sub-working condition parameter file of the total working condition under a local main path according to target fan project parameters, wherein the target fan project parameters comprise target fan model parameters and target wind resource parameters; and sending the sub-working condition parameter file, the target wind file and the target external control file to a server, wherein the sub-working condition parameter file, the target wind file and the target external control file are used for the server to calculate the fan load. The present disclosure also provides a method for determining a fan load, applied to a server, the method including: receiving a sub-working condition parameter file, a target wind file and a target external control file of a total working condition, which are sent by a client, wherein the sub-working condition parameter file of the total working condition is created in a local main path of the client according to a target fan project parameter, and the target fan project parameter comprises a target fan model parameter and a target wind resource parameter; and calculating the fan load according to the sub-working condition parameter file, the target wind file and the target external control file.
According to the data processing method and the fan load determining method for fan load calculation, the sub-working condition parameter file of the total working condition is created in the local main path of the client, then the sub-working condition parameter file, the target wind file and the target external control file are sent to the server, and the server calculates the fan load according to the sub-working condition parameter file, the target wind file and the target external control file. The sub-working condition parameter file is directly generated locally at the client, the server directly calculates the fan load for the sub-working condition parameter file, the problem that the speed of generating the sub-working condition parameter file is low due to the fact that the number of CPU cores of the server is small is solved, and the fan load calculation efficiency is improved.
The data processing method and device, and the determining method and device for fan load calculation provided by the present disclosure are explained in detail below with reference to the accompanying drawings:
fig. 1 is a schematic diagram illustrating an application scenario according to an exemplary embodiment of the present disclosure. Referring to fig. 1, a client 110 and a server 120 are connected through a network. The client 110 may be any terminal having a network access function, and may be embodied as a desktop computer, a mobile phone, a tablet computer, a notebook computer, a Personal Digital Assistant (PDA), and the like, and the client 110 may access the server 120 through a wireless network.
FIG. 2 is a flow chart illustrating a data processing method of wind turbine load calculation according to an exemplary embodiment of the present disclosure. For convenience of description, a data processing method for fan load calculation provided by the embodiment of the present disclosure is explained by taking Bladed software of a client as an example, and the method is applied to the client, and with reference to fig. 2, the method includes:
and step 21, creating a sub-working condition parameter file of the total working condition in the local main path according to the target fan project parameters, wherein the target fan project parameters comprise target fan model parameters and target wind resource parameters.
Specifically, the client creates a sub-working condition parameter file of the total working condition in the local main path according to the target fan project parameters. The local main path may be a local main path input by a user at a client interface (for example, a Bladed software interface), and the client creates a sub-operating condition parameter file of the total operating condition at the local main path based on the target fan project parameter and the local main path. In the Bladed software, the sub-condition parameter file is a dtbladed.
The sub-condition parameter file is used for the server to calculate the fan load, and parameters related to fan load calculation, such as target fan model parameters and target wind resource parameters, are stored in the sub-condition parameter file. Illustratively, the target wind turbine model parameters include: the wind power generation system comprises a wind wheel diameter, a cut-in wind speed, a cut-out wind speed, a rated wind speed, a Kopt (optimal modal gain), a hub center height, a yaw friction moment, a negative-pitch-direction pitch rate, a feathering-direction pitch rate, a yaw running-off rate, simulation filtering time, a maintenance wind speed and the like. Illustratively, the target wind resource parameters include: air density, turbulence intensity desired value, annual average wind speed, inflow inclination, reference wind speed, wind shear, etc.
In some embodiments, referring to the sub-flowchart of step 21 in FIG. 2 shown in FIG. 3, step 21 includes sub-steps 211 and 214:
and step 211, acquiring a parameter template file, wherein the parameter template file stores initial fan project parameters.
In some embodiments, step 211 includes sub-steps 2111 and 2112.
And a substep 2111 of locally acquiring a visual initial file, wherein the visual initial file stores initial fan project parameters. The visual initial file may also store a local initial path for windy files and a local initial path for external control files.
Illustratively, the prj file or the $ PJ file is obtained locally as a visual initial file, which stores initial fan project parameters. In addition, the prj file or the $ PJ file may also store the local initial path of the windy file and the local initial path of the external control file.
And a substep 2112 of generating a parameter template file according to the visualized initial file.
Illustratively, the client generates a dtfed.in template file as a parameter template file from the prj file or the $ PJ file (visual initial file). A visualization template file may also be generated from the visualization file, illustratively, the client generates an $ PJ template file from the prj file or the $ PJ file as the visualization template file. Illustratively, the parameter template file and the visualization template file are generated by the Batch module of the Bladed software.
And 212, rewriting the initial fan item parameters into target fan item parameters.
In some embodiments, the target fan project parameters include a first target fan project parameter and a second target fan project parameter; step 212 includes sub-steps 2121 and 2123.
And a substep 2121 of acquiring a first target fan project parameter input by a user through a client interface.
Specifically, the client acquires a first target fan project parameter through a Bladed software interface, and then rewrites an initial fan project parameter in the parameter template file into the first target fan project parameter. Illustratively, the first target fan project parameter includes: inputting cut-in wind speed, rated wind speed, turbulence intensity expected value, hub center height, inflow inclination angle, wind shear, pitching direction variable pitch speed, yawing running plastic, air density, annual average wind speed, reference wind speed, simulation filtering time and the like.
And a substep 2122 of determining a second target fan project parameter according to the first target fan project parameter.
Specifically, the client may obtain a second target fan item parameter according to the first target fan item parameter and the setting relationship. Illustratively, the set relationship includes the IEC61400-1-2019 standard. And taking the first target fan project parameter as a rewriting basis, calculating the first target fan project parameter according to IEC61400-1-2019 standard to obtain an intermediate parameter and a result parameter, wherein the second target fan project parameter comprises the intermediate parameter and the result parameter. Wherein, the intermediate parameters include: calculating longitudinal turbulence intensity, calculating transverse turbulence intensity, calculating radial turbulence mild degree, calculating gust amplitude and the like.
And a substep 2123 of creating a sub-working condition parameter file of the total working condition in the local main path according to the first target fan project parameter and the second target fan project parameter.
Specifically, the client combines the first target fan project parameter and the second target fan project parameter, and creates a plurality of sub-working condition parameter files in the local main path.
And step 213, rewriting the local initial path of the wind file into the local path of the target wind file, and rewriting the local initial path of the external control file into the local path of the target external control file.
The local initial path of the wind file is the same as or different from the local path of the target wind file, and the local initial path of the external control file is the same as or different from the local path of the target external control file.
And 214, rewriting the local path of the target wind file into the server path of the target wind file, and rewriting the local path of the target external control file into the server path of the target external control file.
Specifically, the root directory of the local path of the target wind file may be rewritten into the root directory of the server, so as to obtain the server path of the target wind file. And rewriting the root directory of the local path of the target external control file into the root directory of the server to obtain the server path of the target external control file. Therefore, the server can search the target wind file through the server path of the target wind file and search the target external control file through the server path of the target external control file.
Illustratively, the local path of the target wind file is "F: \ \ wind", the local path of the target external control file is "F: \ \ LY \5000_155_ HH95_9.0B _ C \ controller \ Discon-ver5.dll", the local path of the target wind file is rewritten as server path "\ \10.0.80.12\ Bladed4\ wind", and the local path of the target external control file is rewritten as server path "\ \10.0.80.12\ Bladed4\ LY \5000_155_ HH95_9.0B _ C \ controller \ Discon-ver5.dll".
Further, step 21 further comprises: and modifying the initial working condition name and the like of the parameter template to form the names of a plurality of sub-working condition parameter files.
The sequence of step 211 to step 212 and step 213 to step 215 is not particularly limited.
And step 22, sending the sub-working condition parameter file, the target wind file and the target external control file to a server, wherein the sub-working condition parameter file, the target wind file and the target external control file are used for the server to calculate the fan load.
Specifically, the client sends the sub-working condition parameter file, the target wind file and the target external control file to the server, and the server calculates the fan load according to the sub-working condition parameter file, the target wind file and the target external control file.
In some embodiments, the sub-regime parameter file stores: a server path of the target wind file and a server path of the target external control file; step 22 comprises steps 221-222:
and step 221, sending the target wind file to a server path of the target wind file.
When the server calculates the fan load, the server searches the target wind file through the server path of the target wind file stored in the sub-working condition parameter file, so that the searching efficiency is improved, and the calculation efficiency of the fan load is improved.
And step 222, sending the target external control file to a server path of the target external control file.
When the server calculates the fan load, the server searches the target external control file through the server path of the target external control file stored in the sub-working condition parameter file, so that the searching efficiency is improved, and the calculation efficiency of the fan load is improved. In other embodiments, the user searches the excel table for the location of the first target fan item parameter, and manually fills the corresponding location with the parameters. And then calculating according to the IEC61400-1-2019 standard to obtain a result. And then, creating a working condition load file ($ PJ file) according to the result in the excel table through other software, which is long in time consumption and not beneficial to improving the calculation efficiency of the fan load.
To address the above issues, in some embodiments, the target fan project parameters include a first target fan project parameter and a second target fan project parameter; before executing step 21, referring to a flowchart of a data processing method for wind turbine load calculation shown in fig. 4 according to an exemplary embodiment of the present disclosure, some embodiments of the present disclosure provide that the data processing method for wind turbine load calculation further includes:
For reference, the steps 201 and 202 can be described in the sub-steps 2121 and 2122.
And 203, creating a visual sub-working condition load file of the total working condition under the local main path according to the first target fan project parameter and the second target fan project parameter.
Specifically, the visual sub-condition load file stores a first target fan project parameter and a second target fan project parameter. For example, a visual sub-workload file ($ PJ file) may be opened in the blanked software and the target fan project parameters may be viewed.
In some embodiments, referring to the sub-flow diagram of step 203 in FIG. 4 shown in FIG. 5, step 203 includes sub-steps 2031 and 2033:
Illustratively, the visualization initial file of the Bladed software includes the prj file or the $ PJ file.
Illustratively, an prj file or an $ PJ file (visualization initial file) is generated as a visualization template file.
Therefore, through the steps 201 to 203, a user inputs a first target fan project parameter on a client interface, and a visual sub-working condition load file can be directly obtained, compared with the method that the first target fan project parameter is input and calculated in an excel form, and then the visual sub-working condition load file is generated by using other software, the efficiency of generating the visual sub-working condition load file can be improved, and further the calculation efficiency of the fan load is improved.
In the embodiment of the disclosure, the generation modes of the visual sub-condition load file and the sub-condition parameter file are basically the same. The sub-working condition parameter file is used for the server to calculate the fan load, and the visual sub-working condition load file is used for checking various parameters.
FIG. 6 is a flow chart illustrating a data processing method of wind turbine load calculation according to an exemplary embodiment of the present disclosure. Referring to fig. 6, a data processing method for wind turbine load calculation according to some embodiments of the present disclosure further includes:
and step 23, creating a calculation sequence file of the total working condition under the local main path, wherein the calculation sequence file stores the calculation sequence of the plurality of sub-working condition parameter files and the server path.
Specifically, the client creates a total operating condition in the local main path. Each of the joblist files stores a calculation order and a server path of a plurality of sub-condition parameter files.
And 24, sending the calculation sequence file to a server, wherein the calculation sequence file is used for enabling the server to calculate the fan load according to the calculation sequence of the sub-working condition parameter files and the server path.
Specifically, the server searches for the corresponding sub-working condition parameter file based on the calculation sequence of the calculation sequence file and the server path, and calculates the fan load.
It should be noted that, the present disclosure is not limited specifically as to the sequence of creating the sub-condition parameter file, the visual sub-condition load file, and the calculation sequence file. In order to reduce the operation times, the sub-working condition parameter file and the visual sub-working condition load file can be created firstly, and then the calculation sequence file is created based on the number, the name and the server path of the sub-working condition parameter file.
According to the data processing method for calculating the fan load, the sub-working condition parameter file of the total working condition is created in the local main path of the client, and then the sub-working condition parameter file, the target wind file and the target external control file are sent to the server, so that the server calculates the fan load according to the sub-working condition parameter file, the target wind file and the target external control file. The sub-working condition parameter file is directly generated at the local part of the client side, but not generated at the server, so that the server directly calculates the fan load for the sub-working condition parameter file, the problem of low speed of generating the sub-working condition parameter file due to the fact that the number of CPU cores of the server is small is avoided, and the fan load calculation efficiency is improved.
FIG. 7 is a flow chart illustrating a method of determining a fan load according to an exemplary embodiment of the present disclosure. Some embodiments of the present disclosure provide a method for determining a fan load, which is applied to a server, and with reference to fig. 7, the method includes:
and step 71, receiving the sub-working condition parameter file of the total working condition, the target wind file and the target external control file sent by the client, wherein the sub-working condition parameter file of the total working condition is created in the local main path of the client according to the target fan project parameters, and the target fan project parameters comprise target fan model parameters and target wind resource parameters.
It can be understood that after the sub-condition parameter file, the target wind file and the target external control file of the total condition are all sent to the server, the root directory of the paths of the sub-condition parameter file, the target wind file and the target external control file is changed from the local root directory to the server root directory.
When the sub-working condition parameter file stores the server path of the target wind file and the server path of the target external control file, the server can directly search the target wind file through the server path of the target wind file and search the target external control file through the server path of the target external control file.
And 72, calculating the fan load according to the sub-working condition parameter file, the target wind file and the target external control file.
In some embodiments, the method for determining a wind turbine load provided by the embodiment of the present disclosure further includes:
and 73, receiving a calculation sequence file sent by the client, wherein the calculation sequence file is created in a local main path of the client, and the calculation sequence file stores the calculation sequence of the plurality of sub-working condition parameter files and the server path.
And step 74, searching a corresponding sub-working condition parameter file according to the calculation sequence stored in the calculation sequence file and the server path, and calculating the fan load.
Specifically, the server searches for the corresponding sub-working condition parameter file and calculates the fan load based on the calculation sequence stored in the calculation sequence file and the server path, so that the server can calculate the fan load orderly and efficiently.
Therefore, according to the fan load determining method provided by the embodiment of the disclosure, the server receives the sub-working condition parameter file of the total working condition, the target wind file and the target external control file which are sent by the client, wherein the sub-working condition parameter file of the total working condition is created in the local main path of the client according to the target fan project parameters. And then the server calculates the fan load according to the sub-working condition parameter file, the target wind file and the target external control file. The sub-working condition parameter file is generated at the client instead of the server, so that the problem of low speed of generating the sub-working condition parameter file due to the fact that the number of CPU cores of the server is small is solved, and the calculation efficiency of the fan load is improved.
Fig. 8 is a schematic block diagram illustrating a data processing apparatus 800 for wind turbine load calculation according to an exemplary embodiment of the present disclosure, and referring to fig. 8, the data processing apparatus 800 for wind turbine load calculation includes one or more processors 810, and the processors 810 are configured to implement the data processing method for wind turbine load calculation described above. The processor 810 is configured to: creating a sub-working condition parameter file of the total working condition under a local main path according to target fan project parameters, wherein the target fan project parameters comprise target fan model parameters and target wind resource parameters; and sending the sub-working condition parameter file, the target wind file and the target external control file to a server, wherein the sub-working condition parameter file, the target wind file and the target external control file are used for the server to calculate the fan load.
In some embodiments, wind turbine load calculation data processing apparatus 800 further includes memory 820, memory 820 being a computer readable storage medium that may store a program that may be invoked by processor 810, and may include a non-volatile storage medium. In some embodiments, processor 810 and memory 820 are separate chips. In other embodiments, processor 810 and memory 820 may be integrated in the same chip.
In some embodiments, the data processing apparatus 800 of the wind turbine load calculation may include an interface 880 and a memory 830. In some embodiments, the data processing device 800 for wind turbine load calculation may also include other hardware depending on the actual application.
The computer readable storage medium of the embodiment of the present disclosure stores thereon a program, and when the program is executed by the processor 810, the program implements the data processing method of the wind turbine load calculation executed by any of the processors 810 described above.
The present disclosure may take the form of a computer program product embodied on one or more storage media including, but not limited to, disk storage, CD-ROM, optical storage, and the like, having program code embodied therein. Computer-readable storage media include permanent and non-permanent, removable and non-removable media and may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer readable storage media include, but are not limited to: phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technologies, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by a computing device.
It should be understood that portions of the present disclosure may be implemented in hardware, software, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or hardware stored in a memory and executed by a suitable instruction execution device. For example, if implemented in hardware, any one or a combination of the following techniques 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.
Some embodiments of the present disclosure also provide a wind turbine load determination apparatus, including one or more processors, for implementing the wind turbine load determination method described above. The processor is configured to: receiving a sub-working condition parameter file, a target wind file and a target external control file of a total working condition, which are sent by a client, wherein the sub-working condition parameter file of the total working condition is created in a local main path of the client according to a target fan project parameter, and the target fan project parameter comprises a target fan model parameter and a target wind resource parameter; and calculating the fan load according to the sub-working condition parameter file, the target wind file and the target external control file.
The computer-readable storage medium of the embodiment of the disclosure stores a program thereon, and when the program is executed by a processor, the program realizes the fan load determination method executed by any one of the processors.
The above embodiments of the present disclosure may be complementary to each other without conflict.
The above description is only exemplary of the present disclosure and should not be taken as limiting the disclosure, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (14)
1. A data processing method for fan load calculation is applied to a client, and the method comprises the following steps:
creating a sub-working condition parameter file of a total working condition under a local main path according to target fan project parameters, wherein the target fan project parameters comprise target fan model parameters and target wind resource parameters;
and sending the sub-working condition parameter file, the target wind file and the target external control file to a server, wherein the sub-working condition parameter file, the target wind file and the target external control file are used for the server to calculate the fan load.
2. The method of claim 1, wherein the sub-regime parameter file stores: a server path of the target wind file and a server path of the target external control file;
the step of sending the sub-working condition parameter file, the target wind file and the target external control file to a server comprises the following steps:
sending the target wind file to a server path of the target wind file;
and sending the target external control file to a server path of the target external control file.
3. The method of claim 2, wherein creating a sub-operating condition parameter file of the total operating conditions in the local primary path according to the target fan project parameters comprises:
acquiring a parameter template file, wherein the parameter template file stores a local initial path of a wind file and a local initial path of an external control file;
rewriting the local initial path of the wind file into the local path of the target wind file, and rewriting the local initial path of the external control file into the local path of the target external control file;
and rewriting the local path of the target wind file into the server path of the target wind file, and rewriting the local path of the target external control file into the server path of the target external control file.
4. The method of claim 1, wherein creating a sub-operating condition parameter file of the total operating conditions in the local primary path according to the target fan project parameters comprises:
acquiring a parameter template file, wherein the parameter template file stores initial fan project parameters;
and rewriting the initial fan project parameters into the target fan project parameters.
5. The method according to claim 3 or 4, wherein the obtaining of the parameter template file comprises:
acquiring a visual initial file locally, wherein the visual initial file stores an initial fan project parameter, a local initial path of a wind file and a local initial path of an external control file;
and generating the parameter template file according to the visual initial file.
6. The method of claim 1, wherein the target fan project parameters include a first target fan project parameter and a second target fan project parameter; the method further comprises the following steps:
acquiring the first target fan project parameter input by a user through a client interface;
determining a second target fan project parameter according to the first target fan project parameter;
and creating a visual sub-working condition load file of the total working condition under a local main path according to the first target fan project parameter and the second target fan project parameter.
7. The method of claim 6, wherein creating a visual sub-condition load file of total conditions in the local primary path according to the target fan project parameters comprises:
acquiring a visual initial file locally, wherein the visual initial file stores the initial fan project parameters;
generating a visual template file according to the visual initial file, wherein the visual template file stores initial fan project parameters;
and rewriting the initial fan project parameters of the visual template file into the target fan project parameters.
8. The method of claim 1, further comprising:
creating a calculation sequence file of the total working condition under the local main path, wherein the calculation sequence file stores a calculation sequence and a server path of a plurality of sub-working condition parameter files;
and sending the calculation sequence file to the server, wherein the calculation sequence file is used for enabling the server to calculate the fan load according to the calculation sequence of the sub-working condition parameter files and the server path.
9. A method for determining fan load is applied to a server, and the method comprises the following steps:
receiving a sub-working condition parameter file, a target wind file and a target external control file of a total working condition, which are sent by a client, wherein the sub-working condition parameter file of the total working condition is created in a local main path of the client according to a target fan project parameter, and the target fan project parameter comprises a target fan model parameter and a target wind resource parameter;
and calculating the fan load according to the sub-working condition parameter file, the target wind file and the target external control file.
10. The method of claim 9, further comprising:
receiving a calculation sequence file sent by the client, wherein the calculation sequence file is created in a local main path of the client, and the calculation sequence file stores a calculation sequence and a server path of a plurality of sub-working condition parameter files;
and searching the corresponding sub-working condition parameter file according to the calculation sequence stored in the calculation sequence file and the server path, and calculating the fan load.
11. A computer-readable storage medium, having stored thereon a program which, when executed by a processor, carries out the method of any one of claims 1 to 8.
12. A data processing apparatus for wind turbine load calculation, comprising one or more processors configured to implement the method of any of claims 1 to 8.
13. A computer-readable storage medium, having stored thereon a program which, when executed by a processor, carries out the method of claim 9 or 10.
14. A wind turbine load determining apparatus comprising one or more processors configured to implement the method of claim 9 or 10.
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