CN116501703B - Method and equipment for carrying out data merging processing on ADAMS analysis result - Google Patents
Method and equipment for carrying out data merging processing on ADAMS analysis result Download PDFInfo
- Publication number
- CN116501703B CN116501703B CN202310765083.2A CN202310765083A CN116501703B CN 116501703 B CN116501703 B CN 116501703B CN 202310765083 A CN202310765083 A CN 202310765083A CN 116501703 B CN116501703 B CN 116501703B
- Authority
- CN
- China
- Prior art keywords
- data
- file
- result
- res
- adams
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 53
- 238000012545 processing Methods 0.000 title claims abstract description 34
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000007405 data analysis Methods 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000004806 packaging method and process Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 description 3
- 230000009191 jumping Effects 0.000 description 2
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
Abstract
The application discloses a method and equipment for carrying out data merging processing on ADAMS analysis results, wherein the method mainly comprises the following steps: step S1: determining time requirements, reading all res files in ADAMS analysis results, and establishing a read file list A; step S2: establishing a result file B, and copying the common content of the model and the parameters of one res file in the file list A to the result file B; step S3: building and extracting data segments meeting the time requirement in the step S1 from the result file B in the step S2, and sequentially modifying and adding the data segments into the result file B according to the sequence of the file list A in the step; step S4: reading the result file B, and extracting and analyzing the demand data aiming at the result file B; when data processing or analysis is carried out, only one summarized analysis result is needed to be imported, analyzed and read, so that the working efficiency is greatly extracted, and the storage space is reduced.
Description
Technical Field
The application relates to the technical field of computer software, in particular to a method and equipment for carrying out data merging processing on ADAMS analysis results.
Background
ADAMS, mechanical systems dynamics automation analysis (Automatic Dynamic Analysis of Mechanical Systems), has been adopted by hundreds of major manufacturers in all industries worldwide.
After multiple analyses are generally performed by using Adams software, if each result needs to be checked, each analysis result needs to be imported into Adams software to perform related data post-processing, but sometimes only the decomposition result at a specific moment in all the results needs to be concerned, all analysis result files and data do not need to be imported, if all the analysis result files and data are imported, the time for reading the data is increased, more computer memory is occupied, meanwhile, inconvenience is brought to the work of processing the analysis result at a certain moment or in a time domain, and additional storage space is brought to the storage of a plurality of analysis results.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides a method and equipment for carrying out data merging processing on ADAMS analysis results.
According to an embodiment of the first aspect of the present application, a method for merging and data processing ADAMS analysis result data includes:
step S1: determining time requirements, reading all res files in ADAMS analysis results, and establishing a read file list A;
step S2: establishing a result file B, and copying part of the content of one res file in the file list A to the result file B;
step S3: extracting data segments meeting the time requirement in the step S1 from the result file B in the step S2, and sequentially modifying and adding the data segments into the result file B according to the sequence of the file list A in the step;
step S4: reading the result file B, and extracting and analyzing the demand data aiming at the result file B;
step S5: combining and data processing are completed on ADAMS analysis result data;
in the step S2, the content of the res file part is the common content of the model and the parameters;
the step S2 specifically comprises the following steps:
step S21: when a node of a certain res file "Data" in the file list a is read, if the attribute is "quasistatic" and "dynamic_001", if the res file is the first res file in the file list, step S22 is performed, and if the res file is not the first res file in the file list, step S23 is performed;
step S22: all Data before the Data node are extracted and stored in a result file B;
step S23: reading the first Data of all Steps in the 'Data' node;
the step S3 specifically comprises the following steps:
step S31: judging whether the Step data in the Step S23 meets the time requirement, if so, performing the Step S32, and if not, performing the Step S1;
step S32: and (3) modifying the time points of Step data meeting the time requirement according to the reading sequence based on the result file B, so that the time data are increased, and finally merging the time data into the result file B.
According to the method for merging and data processing of ADAMS analysis result data, according to the requirements, the data of a plurality of analysis results under the same model are merged into the result file in a data result state at a specific moment through specifying a certain moment, so that load extraction, characteristic data comparison analysis and the like are facilitated, a convenient and reliable method is provided for subsequent data analysis work, meanwhile, the size of the analysis results can be obviously reduced, and the storage space can be reduced.
According to some embodiments of the application, step S1 is specifically:
step S11: determining a required time region and a required res file list A;
step S12: and reading the res file list sequentially.
According to some embodiments of the application, the res file is composed of a main node "Result" and two byte points "bibliographic" and "Analysis" in which it is mainly composed of a plurality of "Data" nodes, and different "Data" nodes have different attributes.
According to some embodiments of the application, the "quasiStatic" or "dynamic_001" primarily stores data at each moment, and confirms the time and data turntable in each "Step".
According to some embodiments of the application, the file stored in the file list a is an ADAMS output result file.
According to some embodiments of the application, the res file is document text.
An apparatus for performing data merging processing on an ADAMS analysis result according to an embodiment of the second aspect of the present application includes:
the data transmission module is used for transmitting data among the modules;
the data input module is used for inputting ADAMS analysis result data and time domain requirements into the equipment through the data input module;
the data reading module reads the data input by the data input module;
the file establishing module establishes a file for storing data, so that the output of a result is facilitated;
the data analysis processing module is used for analyzing the data in the required time domain and carrying out packaging processing;
the data output module is used for outputting the packaged result file;
according to the device for merging and data processing of ADAMS analysis result data, the required result file can be directly obtained only by inputting the result output by ADAMS into the device and then inputting the required time domain, so that load extraction, characteristic data comparison analysis and the like are facilitated, a convenient and reliable device is provided for subsequent data analysis work, meanwhile, the size of an analysis result can be obviously reduced through the device, and the storage space can be reduced.
Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method of merging and data processing ADAMS analysis result data in accordance with an embodiment of the application;
fig. 2 is a schematic diagram of a method of merging and data processing ADAMS analysis result data according to an embodiment of the present application.
Detailed Description
The following detailed description of embodiments of the application, with reference to the accompanying drawings, is illustrative of the embodiments described herein, and it is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application.
It will be understood that when an element is referred to as being "fixed to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1 and 2, a method for performing data merging processing on an ADAMS analysis result includes,
step S1: determining time requirements, reading all res files in ADAMS analysis results, and establishing a read file list A;
step S2: establishing a result file B, and copying part of the content of one res file in the file list A to the result file B;
step S3: extracting data segments meeting the time requirement in the step S1 from the result file B in the step S2, and sequentially modifying and adding the data segments into the result file B according to the sequence of the file list A in the step;
step S4: reading the result file B, and extracting and analyzing the demand data aiming at the result file B;
step S5: combining and data processing are completed on ADAMS analysis result data;
the step S1 specifically includes:
step S11: determining a required time region and a required res file list A;
step S12: sequentially reading according to the res file list;
the step S2 specifically comprises the following steps:
step S21: when a node of a certain res file "Data" in the file list a is read, if the attribute is "quasistatic" or "dynamic_001", if the res file is the first res file in the file list, step S22 is performed, and if the res file is not the first res file in the file list, step S23 is performed;
step S22: the Data before the Data node is completely read out and stored in a result file B;
step S23: reading the first Data of all Steps in the 'Data' node;
the step S3 specifically comprises the following steps:
step S31: judging whether the first data in all Step data segments in the Step S23 meet the time requirement, if so, performing the Step S32, and if not, performing the Step S1, and reading the next res file in the res list;
step S32: and (3) modifying the Step data meeting the time requirement according to the reading sequence based on the result file B, so that the time data is increased, and finally, the Step data is combined into the result file B.
Based on the above operation steps, referring to fig. 2, the specific working principle is as follows:
the first step: setting a required time domain and a required res file list A;
and a second step of: sequentially reading according to the res file list;
and a third step of: when reading a Data node of a certain res file in the file list A, if the attribute is "quasistatic" or "dynamic_001", judging whether the res file is the first res file in the file list, if so, performing a fourth step, and if not, jumping to a fifth step;
fourth step: the Data before the Data node is completely read out and stored in a result file B;
fifth step: reading the first Data of all Steps in the 'Data' node;
sixth step: judging whether Step data in the fifth Step meets the time requirement, if so, performing a seventh Step, and if not, jumping to the second Step;
seventh step: based on the result file B, modifying time points of Step data meeting time requirements according to a reading sequence, enabling the time data to be increased, and finally merging the time data into the result file B;
the final result file B is the result file obtained by combining ADAMS analysis results, and after the result file is obtained, the needed data content is extracted from the result file, so that the time for searching the data is greatly shortened, and the working efficiency is improved.
Example 2
An apparatus for data merge processing of ADAMS analysis results using the method of example 1, comprising:
the data transmission module is used for transmitting data among the modules;
the data input module is used for inputting ADAMS analysis result data and time domain requirements into the equipment through the data input module;
the data reading module reads the data input by the data input module;
the file establishing module establishes a file for storing data, so that the output of a result is facilitated;
the data analysis processing module is used for analyzing the data in the required time domain and carrying out packaging processing;
the data output module is used for outputting the packaged result file;
the device is suitable for a method for carrying out data combination processing on ADAMS analysis results, and comprises the following steps,
step S1: determining time requirements, reading all res files in ADAMS analysis results, and establishing a read file list A;
step S2: establishing a result file B, and copying part of the content of one res file in the file list A to the result file B;
step S3: extracting data segments meeting the time requirement in the step S1 from the result file B in the step S2, and sequentially modifying and adding the data segments into the result file B according to the sequence of the file list A in the step;
step S4: reading the result file B, and extracting and analyzing the demand data aiming at the result file B;
step S5: combining and data processing are completed on ADAMS analysis result data;
the step S1 specifically includes:
step S11: determining a required time region and a required res file list A;
step S12: sequentially reading according to the res file list;
the step S2 specifically comprises the following steps:
step S21: when a node of a certain res file "Data" in the file list a is read, if the attribute is "quasistatic" or "dynamic_001", if the res file is the first res file in the file list, step S22 is performed, and if the res file is not the first res file in the file list, step S23 is performed;
step S22: the Data before the Data node is completely read out and stored in a result file B;
step S23: reading the first Data of all Steps in the 'Data' node;
the step S3 specifically comprises the following steps:
step S31: judging whether the first data in all Step data segments in the Step S23 meet the time requirement, if so, performing the Step S32, and if not, performing the Step S1, and reading the next res file in the res list;
step S32: and (3) modifying the Step data meeting the time requirement according to the reading sequence based on the result file B, so that the time data is increased, and finally, the Step data is combined into the result file B.
The device is suitable for the method for carrying out data merging processing on ADAMS analysis results, and specifically comprises the steps of inputting ADAMS processing results into the device through a data input module, transmitting data to a data reading module through a data transmission module, establishing a file list A by a file establishing module aiming at the read data, storing the read file into the file list A, continuously sending res files to a data analysis processing module by the file establishing module, judging after the res files are received by the file analysis processing module, sending res files meeting requirements to a result file B established by the file establishing module, and finally outputting the result file B through a data output module without any sending instruction; the hardware equipment and the software system are combined, so that load extraction, characteristic data comparison analysis and the like are facilitated, convenient and reliable equipment is provided for subsequent data analysis work, and meanwhile, the size of an analysis result can be obviously reduced through the equipment, and the storage space can be reduced.
In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present application and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the application.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," 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, schematic representations of the above terms do not necessarily refer to the same embodiments or examples.
It will be apparent that the described embodiments are only some, but not all, embodiments of the application. Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application for the embodiment. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the application, the scope of which is defined by the claims and their equivalents.
Claims (7)
1. A method for carrying out data merging processing on ADAMS analysis results is characterized by comprising the following steps of
Step S1: determining time requirements, reading all res files in ADAMS analysis results, and establishing a read file list A;
step S2: establishing a result file B, and copying part of the content of one res file in the file list A to the result file B;
step S3: extracting data segments meeting the time requirement in the step S1 from the result file B in the step S2, and sequentially modifying and adding the data segments into the result file B according to the sequence of the file list A in the step;
step S4: reading the result file B, and extracting and analyzing the demand data aiming at the result file B;
step S5: combining and data processing are completed on ADAMS analysis result data;
in the step S2, the content of the res file part is the common content of the model and the parameters;
the step S2 specifically comprises the following steps:
step S21: when a node of a certain res file "Data" in the file list a is read, if the attribute is "quasistatic" or "dynamic_001", if the res file is the first res file in the file list, step S22 is performed, and if the res file is not the first res file in the file list, step S23 is performed;
step S22: the Data before the Data node is completely read out and stored in a result file B;
step S23: reading the first Data of all Steps in the 'Data' node;
the step S3 specifically comprises the following steps:
step S31: judging whether the first data in all Step data segments in the Step S23 meet the time requirement, if so, performing the Step S32, and if not, performing the Step S1, and reading the next res file in the res list;
step S32: and (3) modifying the Step data meeting the time requirement according to the reading sequence based on the result file B, so that the time data is increased, and finally, the Step data is combined into the result file B.
2. The method for data merging processing of ADAMS analysis result according to claim 1, wherein step S1 is specifically:
step S11: determining a required time region and a required res file list A;
step S12: and reading the res file list sequentially.
3. The method for merging Data according to claim 1, wherein the res file is composed of a main node "Result" and two byte points "bibliographic" and "Analysis" in which the Analysis node is mainly composed of a plurality of "Data" nodes, and different "Data" nodes have different attributes.
4. The method for merging data according to claim 1, wherein the "quasistatic" and "dynamic_001" store time data, and confirm time and data status at each "Step".
5. The method for merging data according to claim 1, wherein the files stored in the file list a are ADAMS output result files.
6. The method for data merging processing of ADAMS analysis according to claim 1, wherein the res file is document text.
7. An apparatus for data merging processing of ADAMS analysis results using the method of any one of claims 1-6, comprising:
the data transmission module is used for transmitting data among the modules;
the data input module is used for inputting ADAMS analysis result data and time domain requirements into the equipment through the data input module;
the data reading module reads the data input by the data input module;
the file establishing module establishes a file for storing data, so that the output of a result is facilitated;
the data analysis processing module is used for analyzing the data in the required time domain and carrying out packaging processing;
and the data output module is used for outputting the packaged result file.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310765083.2A CN116501703B (en) | 2023-06-27 | 2023-06-27 | Method and equipment for carrying out data merging processing on ADAMS analysis result |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310765083.2A CN116501703B (en) | 2023-06-27 | 2023-06-27 | Method and equipment for carrying out data merging processing on ADAMS analysis result |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116501703A CN116501703A (en) | 2023-07-28 |
| CN116501703B true CN116501703B (en) | 2023-09-01 |
Family
ID=87328771
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310765083.2A Active CN116501703B (en) | 2023-06-27 | 2023-06-27 | Method and equipment for carrying out data merging processing on ADAMS analysis result |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116501703B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB9811874D0 (en) * | 1998-06-02 | 1998-07-29 | Univ Brunel | Information management system |
| CN102063298A (en) * | 2010-12-10 | 2011-05-18 | 电子科技大学 | Automobile electronic controller-oriented runtime environment generation system and method |
| CN105631060A (en) * | 2014-10-29 | 2016-06-01 | 广州汽车集团股份有限公司 | Static load analysis data processing method for automobile chassis suspension system |
| CN113891937A (en) * | 2019-03-19 | 2022-01-04 | 布罗德研究所股份有限公司 | Methods and compositions for editing nucleotide sequences |
| CN114781051A (en) * | 2022-03-15 | 2022-07-22 | 陕西汽车集团股份有限公司 | ADAMS-based vehicle dynamics automated simulation analysis system and method |
| CN115270547A (en) * | 2022-07-06 | 2022-11-01 | 重庆长安汽车股份有限公司 | Adams load decomposition and processing method and system, computer readable storage medium and electronic device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2466164A1 (en) * | 2001-10-30 | 2003-05-08 | Nanomics Biosystems Pty, Ltd. | Device and methods for directed synthesis of chemical libraries |
-
2023
- 2023-06-27 CN CN202310765083.2A patent/CN116501703B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB9811874D0 (en) * | 1998-06-02 | 1998-07-29 | Univ Brunel | Information management system |
| CN102063298A (en) * | 2010-12-10 | 2011-05-18 | 电子科技大学 | Automobile electronic controller-oriented runtime environment generation system and method |
| CN105631060A (en) * | 2014-10-29 | 2016-06-01 | 广州汽车集团股份有限公司 | Static load analysis data processing method for automobile chassis suspension system |
| CN113891937A (en) * | 2019-03-19 | 2022-01-04 | 布罗德研究所股份有限公司 | Methods and compositions for editing nucleotide sequences |
| CN114781051A (en) * | 2022-03-15 | 2022-07-22 | 陕西汽车集团股份有限公司 | ADAMS-based vehicle dynamics automated simulation analysis system and method |
| CN115270547A (en) * | 2022-07-06 | 2022-11-01 | 重庆长安汽车股份有限公司 | Adams load decomposition and processing method and system, computer readable storage medium and electronic device |
Non-Patent Citations (1)
| Title |
|---|
| 一种XACML规则冲突及冗余分析方法;王雅哲;冯登国;;计算机学报(03);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116501703A (en) | 2023-07-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106250498B (en) | Method, equipment and system for realizing multi-system page switching | |
| CN110351325B (en) | Data processing method and related equipment | |
| CN105045602A (en) | Method and device for constructing Hadoop application development framework and electronic device | |
| CN115291967A (en) | Space data analysis method and device and electronic equipment | |
| CN111190551B (en) | Redis data migration system, migration method, migration device and terminal | |
| CN114465937B (en) | Network card testing method, device, server and medium | |
| CN106844479B (en) | Method and device for compressing and decompressing file | |
| CN116501703B (en) | Method and equipment for carrying out data merging processing on ADAMS analysis result | |
| CN110704721A (en) | Client data processing method and device, terminal equipment and readable storage medium | |
| CN107169057B (en) | Method and device for detecting repeated pictures | |
| CN107291619B (en) | Memory occupation analysis method and device | |
| CN109617708B (en) | Compression method, device and system for embedded point log | |
| CN113204706B (en) | Data screening and extracting method and system based on MapReduce | |
| CN104834589A (en) | Webpage detection method and device | |
| CN108073709B (en) | Data recording operation method, device, equipment and storage medium | |
| CN112860412B (en) | Service data processing method and device, electronic equipment and storage medium | |
| CN114116712A (en) | Extended field processing method and device, electronic equipment and storage medium | |
| CN111966460A (en) | Method, system, device and medium for optimizing display process information in container | |
| CN115225654A (en) | Communication method and device based on configurable communication protocol | |
| CN110825846A (en) | Data processing method and device | |
| CN111078518A (en) | Data acquisition method, terminal device and computer-readable storage medium | |
| CN117194501B (en) | DCS trend measurement point jump logic configuration method, system, equipment and medium | |
| CN113759884B (en) | Method and system for generating input/output point product file of distributed control system | |
| CN109634857B (en) | Method, device and storage medium for testing page object | |
| CN117171262A (en) | Data synchronization method and device, storage medium and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |