CN117094174B - Method for recording simulation data and analyzing data stream and resource occupation - Google Patents
Method for recording simulation data and analyzing data stream and resource occupation Download PDFInfo
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Abstract
The invention provides a method for recording simulation data and analyzing data flow and resource occupation, which relates to the technical field of simulation data analysis and aims to realize simplification and quick and visual display of data analysis, and comprises the following steps: generating simulation data; performing full-volume data records based on the operation of the execution unit, wherein the full-volume data records comprise read-write records of the execution unit with the execution unit identifier and the data identifier; performing data analysis; the data analysis comprises data optimization analysis based on a virtual time axis, real-time data interaction and various auxiliary analysis and analysis of simulation data. The invention has the advantages of rapid data analysis, flexible and various data analysis results and more visual display.
Description
Technical Field
The invention relates to the technical field of simulation data analysis, in particular to a method for recording simulation data and analyzing data flow and resource occupation.
Background
The intrinsic processes occurring in the system are reproduced using the model and the existing or in-design system is studied through experiments on the system model, also known as simulation. The models referred to herein include physical and mathematical, static and dynamic, continuous and discrete models. The system is also very wide, including electrical, mechanical, chemical, hydraulic, thermal and other systems, as well as social, economic, ecological, management and other systems. Simulation is a particularly effective approach when the system under study is expensive, the risk of experimentation is high, or it takes a long time to understand the consequences of the system parameter changes. An important tool for simulation is a computer. The simulation is different from the numerical calculation and solving method in that the simulation is an experimental technology. The simulation process comprises two main steps of establishing a simulation model and performing a simulation experiment.
The simulation model design of the complex system may involve concepts of multi-core, multi-task, multi-priority, time sharing, real-time data interaction, beat control and the like, the system may also need to have different synchronization strategies to work together with each component or respond to abnormality, and the complexity of the cooperation of each part of the system means that the forward design needs frequent simulation experiments, and the monitoring values or experimental results in the simulation process are analyzed and verified. On the one hand, the correctness of the past design is verified, and on the other hand, the related module design after assistance is carried out. Analysis based on real-time numerical values, simulation results or partial key data records often lacks integrity, visual relevance is lacking, and tracking analysis on a certain section of complex simulation flow is difficult. And it is difficult to determine the critical parts to be monitored when performing overall verification or error checking, and overall verification means a large amount of consumption.
As a verification and improvement means of the simulation model, analysis of simulation data is indispensable, so improvement of analysis means is needed to achieve simplification and quick and visual presentation of data analysis.
Disclosure of Invention
The invention aims to provide a method for recording simulation data and analyzing data flow and resource occupation, which can realize simplification and quick and visual display of data analysis.
The embodiment of the invention is realized by the following technical scheme:
the method for recording the simulation data and analyzing the data stream and the resource occupation comprises the following steps:
generating simulation data;
performing full-volume data records based on the operation of the execution unit, wherein the full-volume data records comprise read-write records of the execution unit with the execution unit identifier and the data identifier;
performing data analysis;
the data analysis comprises data optimization analysis based on a virtual time axis, real-time data interaction and various auxiliary analysis and analysis of simulation data.
Preferably, the method for performing full-volume data recording based on the operation of the execution unit comprises the following steps:
calculating, by the distributor, an estimated start time and an estimated execution duration of the currently executed operation in the execution environment when the operation is executed on the data carrier by the execution unit;
recording all read-write operations of the data carrier in the process of executing the operations;
and recording the actual starting time and the actual ending time after the execution operation is finished.
Preferably, the predicted start time, the predicted execution duration, the actual start time, and the actual end time are all based on a minimum unit of a virtual time axis.
Preferably, the method for recording all read-write operations of the data carrier is as follows:
each execution unit is respectively endowed with an execution unit identifier, and each data is respectively endowed with a data identifier;
and recording all read-write operations of the execution unit through the data carrier based on the execution unit identifier and the data identifier, and obtaining the read-write record with the execution unit identifier and the data identifier.
Preferably, the method for performing data optimization analysis based on the virtual time axis comprises the following steps:
analyzing the read-write record of the execution unit, and generating graphic coordinates of read-write record points;
and carrying out combination association on the read-write records with the same data identifier, and connecting corresponding relevant points in the graphic display by using curves.
Preferably, the method for performing real-time data interaction and various auxiliary analysis comprises the following steps:
a QT end is set and used for database analysis and interaction of multiple auxiliary analysis functions;
setting a graphic display module, embedding a local Web page in the graphic display module, wherein the local Web page is used for being responsible for graphic display and interactive operation;
when the data analysis module is started, injecting a QT object into js, realizing the response from the QT object to the js through a QT signal system, and realizing the response from the js to the QT object through member function call.
Preferably, in the local Web page, dynamic effects and effect optimizations are provided using a variety of html and js techniques.
Preferably, the analyzing the simulation data includes analyzing a data stream and analyzing resource occupation information.
Preferably, the method for parsing a data stream includes:
providing the data carrier, the data value and the writing unit identification, the data identification to the user through different interaction modes or for analysis of other auxiliary functions; the data carrier, the data value, the writing unit identifier and the data identifier are recorded in the reading-writing record of the execution unit.
Preferably, the method for resolving the resource occupation information includes:
dividing time resources of each execution environment according to a minimum virtual time unit;
analyzing the execution condition of each execution unit in the computing environment to obtain the starting time, the running time and the preemption condition of each execution unit.
The technical scheme of the embodiment of the invention has at least the following advantages and beneficial effects:
all data details in the invention are recorded along with the operation of the data carrier by the execution unit, the recording target does not need user configuration, and the use is convenient;
the read-write behavior of the execution unit in the execution engine of the invention basically covers all possible attention points, and the historical experimental data comprise all execution details, which can be used for comparative analysis or review of details which are not paid attention to in the past;
compared with a static view, the real-time data interaction has a simpler macroscopic overview and a stronger detail display, and can realize a more complex analysis function by adding more shortcut keys and auxiliary functions, thereby being beneficial to quick positioning and quick analysis of users;
the concise graph display can be used for professional analysis and display, helps non-professional personnel to quickly know the execution flow, assists communication, and has great significance for multi-disciplinary joint imitation complex system design;
the invention directly uses time as a bridge for constructing the data relationship, analyzes the tiled data flow structure when displaying the image, and has higher display speed.
Drawings
FIG. 1 is a flow chart of a method for recording simulation data and analyzing data flow and resource occupation according to embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a method for performing full-volume data recording based on operation of an execution unit according to embodiment 2 of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Example 1
The embodiment provides a method for recording simulation data and analyzing data flow and resource occupation, referring to fig. 1, comprising the following steps:
generating simulation data;
performing full-volume data records based on the operation of the execution unit, wherein the full-volume data records comprise read-write records of the execution unit with the execution unit identifier and the data identifier;
performing data analysis;
the data analysis comprises data optimization analysis based on a virtual time axis, real-time data interaction and various auxiliary analysis and analysis of simulation data.
According to the technical scheme, the read-write records of the execution units with the execution unit identifications and the data identifications are recorded in the data transmission records, so that the transmission relation of each module and the change of the data value can be known in subsequent analysis and display.
Meanwhile, the generation of the data record of the embodiment does not need the user to provide the targeted configuration, so that the applicability is wider. In the data analysis stage, real-time data interaction and various auxiliary analysis are carried out, so that the data display is more flexible and various.
Example 2
The present embodiment further describes a method for performing full-volume data recording based on the operation of the execution unit based on the technical scheme of embodiment 1.
In this embodiment, the method for performing full-volume data recording based on the operation of the execution unit includes:
calculating, by the distributor, an estimated start time and an estimated execution duration of the currently executed operation in the execution environment when the operation is executed on the data carrier by the execution unit;
recording all read-write operations of the data carrier in the process of executing the operations;
and recording the actual starting time and the actual ending time after the execution operation is finished.
Further, the predicted start time, the predicted execution duration, the actual start time, and the actual end time are all based on a minimum unit of a virtual time axis.
As a preferred solution of this embodiment, the method of recording all read-write operations on the data carrier is:
each execution unit is respectively endowed with an execution unit identifier, and each data is respectively endowed with a data identifier;
and recording all read-write operations of the execution unit through the data carrier based on the execution unit identifier and the data identifier, and obtaining the read-write record with the execution unit identifier and the data identifier.
In practical applications, based on the technical solution of the present embodiment, all data transfer actions in the execution engine required for executing the operation need to operate the data carrier, so that the operation actions can be recorded when the carrier is operated. The data can be recorded by each module having a read-write action, but the data can be recorded by a plurality of modules without the support of a virtual time axis technology, so that a time error in recording may be caused by a thread or other problems.
A method for performing full-size data recording based on the operation of execution units is schematically shown in fig. 2, in which, in an execution flow, two execution units are given, as an example, execution unit identifiers, that is, an execution unit a and an execution unit B, respectively. The execution unit a performs an operation of writing the data in the carrier x, the data identification of the data is realized by the data number 0, and the operation of the execution unit a on the carrier operation module is recorded as "data number 0", and the writer: execution unit a, write target X, write time: xxx ", where the writing time is recorded according to the actual writing time, the above information is stored in the data recording module. Similarly, the execution unit B reads data from the carrier X, and the operation is recorded as "data number 0, reader: the execution unit B reads the target X, and reads time: xxx.
Example 3
The method for performing data optimization analysis based on the virtual time axis in data analysis is further described based on the technical scheme of embodiment 1.
As a preferred solution of this embodiment, the method for performing data optimization analysis based on a virtual time axis includes:
analyzing the read-write record of the execution unit, and generating graphic coordinates of read-write record points;
and carrying out combination association on the read-write records with the same data identifier, and connecting corresponding relevant points in the graphic display by using curves.
The chain information of data transfer, i.e. the chain of all data points from data generation to extinction, is not processed at this stage. Due to the virtual time axis, the same graphic point can be located only by time recording. On the contrary, if the connection relation cannot be constructed according to time in a real time system, the calculation or recording errors of the connection relation easily cause problems of chain breakage, chain error and the like in a system with large execution time span difference of different units, and the chain information needs to be analyzed to determine points pointed in the data stream so as to establish the connection relation. However, in this embodiment, all the recorded times are multiples of the virtual time unit, that is, are non-negative integer values, the recorded times are the same and are the same, the data flow direction can be obtained only by determining the connection relationship between every two graphic points, and the real time can be obtained for display through conversion, so that the data transmission can be observed on the graphics, and the data transmission can be a plurality of data points connected through curves.
Example 4
The embodiment is based on the technical solution of embodiment 1, and further describes a method for performing real-time data interaction and various auxiliary analysis in data analysis.
In this embodiment, the method for performing real-time data interaction and multiple auxiliary analysis includes:
a QT end is set and used for database analysis and interaction of multiple auxiliary analysis functions;
setting a graphic display module, embedding a local Web page in the graphic display module, wherein the local Web page is used for being responsible for graphic display and interactive operation; herein, responsible for graphic presentation and interaction may include front view ordering, display hiding, and the like.
When the data analysis module is started, injecting a QT object into js, realizing the response from the QT object to the js through a QT signal system, and realizing the response from the js to the QT object through member function call.
Further, in the local Web page, dynamic effects and effect optimizations are provided using a variety of html and js techniques.
Example 5
The present embodiment is based on the technical solution of embodiment 1, and further describes a method for analyzing simulation data in data analysis.
Preferably, the analyzing the simulation data includes analyzing a data stream and analyzing resource occupation information.
Specifically, the method for parsing a data stream includes:
providing the data carrier, the data value and the writing unit identification, the data identification to the user through different interaction modes or for analysis of other auxiliary functions; the data carrier, the data value, the writing unit identifier and the data identifier are recorded in the reading-writing record of the execution unit.
On the other hand, the method for analyzing the resource occupation information comprises the following steps:
dividing time resources of each execution environment according to a minimum virtual time unit;
analyzing the execution condition of each execution unit in the computing environment to obtain the starting time, the running time and the preemption condition of each execution unit.
In this embodiment, counting the actual running time of each execution unit can obtain the resource occupation condition of the execution environment in a period of time.
In particular, a similar optimization can be achieved by specifying a minimum time unit, e.g., ns, in the data stream analysis, but obtaining data records in units of ns all reduces the actual simulation speed of the engine. Therefore, in this embodiment, the time resources of each execution environment are selected to be divided according to the minimum virtual time unit, and the virtual time unit is dynamically generated according to modeling, so that the simulation speed can be increased when spans are similar.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The method for recording the simulation data and analyzing the data stream and the resource occupation is characterized by comprising the following steps:
generating simulation data;
performing full-volume data records based on the operation of the execution unit, wherein the full-volume data records comprise read-write records of the execution unit with the execution unit identifier and the data identifier;
performing data analysis;
the data analysis comprises data optimization analysis, real-time data interaction and various auxiliary analysis and analysis of simulation data based on a virtual time axis;
the method for recording the full data based on the operation of the execution unit comprises the following steps:
calculating, by the distributor, an estimated start time and an estimated execution duration of the currently executed operation in the execution environment when the operation is executed on the data carrier by the execution unit;
recording all read-write operations of the data carrier in the process of executing the operations;
recording the actual starting time and the actual ending time after the execution operation is finished;
the predicted start time, the predicted execution duration, the actual start time, and the actual end time are all based on a minimum unit of a virtual time axis;
the method for recording all read-write operations of the data carrier comprises the following steps:
each execution unit is respectively endowed with an execution unit identifier, and each data is respectively endowed with a data identifier;
recording all read-write operations of the execution unit through the data carrier based on the execution unit identifier and the data identifier to obtain the read-write record with the execution unit identifier and the data identifier;
the method for carrying out data optimization analysis based on the virtual time axis comprises the following steps:
analyzing the read-write record of the execution unit, and generating graphic coordinates of read-write record points;
and carrying out combination association on the read-write records with the same data identifier, and connecting corresponding relevant points in the graphic display by using curves.
2. The method of recording simulation data and performing data flow and resource occupancy analysis of claim 1, wherein the method of performing real-time data interactions and diverse auxiliary analysis comprises:
a QT end is set and used for database analysis and interaction of multiple auxiliary analysis functions;
setting a graphic display module, embedding a local Web page in the graphic display module, wherein the local Web page is used for being responsible for graphic display and interactive operation;
when the data analysis module is started, injecting a QT object into js, realizing the response from the QT object to the js through a QT signal system, and realizing the response from the js to the QT object through member function call.
3. The method of recording simulation data and performing data flow and resource occupancy analysis of claim 2, wherein multiple html and js techniques are used in the local Web page to provide dynamic effects and effect optimizations.
4. The method of recording simulation data and analyzing data flow and resource occupancy according to claim 1, wherein the analyzing the simulation data comprises analyzing the data flow and analyzing the resource occupancy information.
5. The method of recording simulation data and performing data flow and resource occupancy analysis of claim 4, wherein the method of parsing the data flow comprises:
providing the data carrier, the data value and the writing unit identification, the data identification to the user through different interaction modes or for analysis of other auxiliary functions; the data carrier, the data value, the writing unit identifier and the data identifier are recorded in the reading-writing record of the execution unit.
6. The method of recording simulation data and analyzing data flow and resource occupancy according to claim 5, wherein the method of resolving resource occupancy information comprises:
dividing time resources of each execution environment according to a minimum virtual time unit;
analyzing the execution condition of each execution unit in the computing environment to obtain the starting time, the running time and the preemption condition of each execution unit.
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