CN116842715A - Simulation data structuring processing system - Google Patents
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Abstract
The application discloses a simulation data structuring processing system, which comprises a structural design module, a data processing module and a data processing module, wherein the structural design module is used for responding to the definition operation of a user on data parameters so as to generate structured code information; the structured code information comprises a plurality of structured codes; the data processing module is used for loading simulation process data from the simulation experiment system and carrying out structural processing on the simulation process data by utilizing the structural code information so as to generate target structural data information; the data distribution module is used for carrying out serialization processing on the target structured data information and then issuing the target structured data information; the data analysis module is used for matching and receiving the target structured data information after the serialization processing, and performing inverse serialization analysis on the received target structured data information to obtain target parameter information. Therefore, the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
Description
Technical Field
The application relates to the technical field of software development, in particular to a simulation data structuring processing system.
Background
With the rapid development of artificial intelligence technology, more and more industries are beginning to combine with artificial intelligence, wherein the demands of unmanned cluster combat and artificial intelligence algorithms are particularly urgent. In the multi-domain intelligent unmanned cluster cooperative electromagnetic spectrum attack combat scene, intelligent algorithms such as task autonomous planning, cooperative task allocation, autonomous cognition and intelligent growth of the unmanned cluster are required to be combined, but a method for integrating the algorithms is lacking, so that bidirectional data interaction between a multi-agent simulation experiment system and the intelligent algorithms cannot be realized, and a plurality of difficulties are brought to the training of the intelligent algorithms and the process realization of algorithm-driven simulation experiments. Therefore, it is necessary to provide a simulation data structured processing system to solve the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, so as to improve the simulation efficiency.
Disclosure of Invention
The application aims to solve the technical problem of providing a simulation data structuring processing system so as to solve the problem that a simulation experiment environment and an intelligent algorithm cannot be integrated and interacted, and improve the simulation efficiency.
In order to solve the technical problems, the first aspect of the application discloses a simulation data structuring processing system, which comprises a structural design module, a data processing module, a data distribution module and a data analysis module; wherein,,
the structural design module is used for responding to the definition operation of a user on the data parameters so as to generate structured code information; the structured code information comprises a plurality of structured codes;
the data processing module is used for loading simulation process data from a simulation experiment system and carrying out structuring processing on the simulation process data by utilizing the structuring code information so as to generate target structuring data information;
the data distribution module is used for carrying out serialization processing on the target structured data information and then issuing the target structured data information;
the data analysis module is used for matching the target structured data information after the received serialization processing, and performing inverse serialization analysis on the received target structured data information to obtain target parameter information.
As an alternative embodiment, the structural design module includes a parameter design unit and a code generation unit; wherein,,
the parameter design unit is used for responding to the definition operation of the user on the data parameters so as to generate message parameter structure information;
the code generating unit is used for compiling the message parameter structure information to generate the structured code information.
As an alternative embodiment, the structural design module responds to the definition operation of the data parameters by the user to generate the structured code information, which comprises:
the parameter design unit responds to the selection of the message type by the user to obtain target message type information; the target message type information includes at least 15 target message types; each of the target message types corresponds to data information received from a simulation experiment system;
the parameter design unit responds to the parameter definition setting of the user on the target message type information to obtain message parameter structure information; the message parameter structure information comprises a plurality of pieces of structural parameter information; each of the structured parameter information corresponds to a unique one of the target message types; the structured parameter information comprises at least 3 structured parameters;
the code generating unit compiles the message parameter structure information to obtain code file information;
and the code generating unit associates the code file information with the target message type information to obtain structured code information.
As an alternative embodiment, the data processing module includes a data acquisition unit and a data conversion unit; wherein,,
the data acquisition unit is used for loading and analyzing simulation data from the simulation experiment system to obtain simulation parameter data;
the data conversion unit is used for carrying out structuring processing on the simulation process data by utilizing the structuring code information so as to generate target structuring data information.
As an optional implementation manner, the data processing module loads simulation process data from a simulation experiment system, and performs structural processing on the simulation process data by using the structural code information to generate target structural data information, and includes:
the data acquisition unit loads simulation data from the simulation experiment system to obtain simulation process data;
the data acquisition unit performs parameter extraction on the simulation process data to obtain simulation parameter data;
the data conversion unit selects a target message type matched with the simulation parameter data from the target message type information as a parameter message type;
the data conversion unit performs parameter replacement updating on the message parameter structure information corresponding to the parameter message type by utilizing the simulation parameter data to obtain target parameter structure information;
and the data conversion unit calls the structured code corresponding to the parameter message type to carry out serialization packaging processing on the target parameter structure information to obtain target structured data information.
As an optional implementation manner, the data acquisition unit performs parameter extraction on the simulation process data to obtain the simulation parameter data, and includes:
the data acquisition unit extracts parameters corresponding to each data field in the simulation process data to obtain parameter data information;
the data acquisition unit acquires standard units corresponding to the data fields from the information parameter structure information;
and the data acquisition unit carries out numerical unit conversion on the parameter data information according to the standard unit to obtain the simulation parameter data.
As an optional implementation manner, the data parsing module includes a data receiving unit and a data parsing unit; wherein,,
the data receiving unit is used for receiving the target structured data information to obtain the received structured data information;
the data analysis unit is used for performing inverse sequence analysis on the received structured data information to obtain target parameter information.
As an optional implementation manner, the data analysis module matches the target structured data information after receiving the serialization processing, and performs inverse serialization analysis on the received target structured data information to obtain target parameter information, and includes:
the data receiving unit responds to the type of the receiving parameter set by the user to obtain a target receiving information type;
the data receiving unit receives corresponding target structured data based on the name matching relation between the target received message type and the target structured data information after serialization processing, and obtains received structured data information; the name matching relationship characterizes that the data names are consistent;
the data analysis unit determines to obtain a target structured code based on the type matching relation between the type of the target received message and the structured code; the code types corresponding to the type matching relation characterization data fields are consistent;
the data analysis unit invokes the inverse serialization code associated with the target structured code;
and the data analysis unit performs deserialization processing on the received structured data information by using the deserialization code to obtain target parameter information.
A second aspect of the application discloses a computer readable storage medium comprising the simulated data structure processing system of any of the first aspects.
A third aspect of the present application discloses an electronic device, which includes the simulation data structuring processing system of any one of the first aspects.
Compared with the prior art, the application has the following beneficial effects:
the embodiment of the application discloses a simulation data structuring processing system, which comprises a structural design module, a data processing module, a data distribution module and a data analysis module; the structure design module is used for responding to the definition operation of a user on the data parameters so as to generate structured code information; the structured code information comprises a plurality of structured codes; the data processing module is used for loading simulation process data from the simulation experiment system and carrying out structural processing on the simulation process data by utilizing the structural code information so as to generate target structural data information; the data distribution module is used for carrying out serialization processing on the target structured data information and then issuing the target structured data information; the data analysis module is used for matching and receiving the target structured data information after the serialization processing, and performing inverse serialization analysis on the received target structured data information to obtain target parameter information. Therefore, the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a simulation data structured processing system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of another simulated data structure processing system according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all 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.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or modules is not limited to the list of steps or modules but may, in the alternative, include steps or modules not listed or inherent to such process, method, article, or article.
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. 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 appreciate that the embodiments described herein may be combined with other embodiments.
Specifically, referring to fig. 1, fig. 1 is a schematic structural diagram of a simulation data structuring processing system according to an embodiment of the present application. As shown in fig. 1, the system comprises a structural design module, a data processing module, a data distribution module and a data analysis module; wherein,,
the structural design module is used for responding to the definition operation of a user on the data parameters so as to generate structured code information; the structured code information comprises a plurality of structured codes;
the data processing module is used for loading simulation process data from the simulation experiment system and carrying out structural processing on the simulation process data by utilizing the structural code information so as to generate target structural data information;
the data distribution module is used for carrying out serialization processing on the target structured data information and then issuing the target structured data information;
the data analysis module is used for matching and receiving the target structured data information after the serialization processing, and performing inverse serialization analysis on the received target structured data information to obtain target parameter information.
It should be noted that, the adoption of the simulation data structured processing system of the application realizes the bidirectional data interaction between the simulation experiment environment and the intelligent algorithm, the simulation experiment environment provides the experiment environment data for the intelligent algorithm, the intelligent algorithm utilizes the algorithm result feedback to drive the simulation experiment process, and the problem that the simulation experiment environment and the intelligent algorithm cannot be interacted integrally is solved.
It should be noted that, the issuing after the serialization processing of the target structured data information by the data distribution module is to verify and assign each data field of the operation result, and then, invoke the message parameter serialization code interface by using the serialization mode to issue the serialized data packet of the target structured data information.
Therefore, the simulation data structured processing system described by the embodiment of the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
As an alternative embodiment, as shown in fig. 2, the structural design module includes a parameter design unit and a code generation unit; wherein,,
a parameter design unit for responding to the definition operation of the user on the data parameters to generate message parameter structure information;
and the code generation unit is used for compiling the message parameter structure information to generate structured code information.
Therefore, the simulation data structured processing system described by the embodiment of the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
As an alternative embodiment, the structural design module is responsive to user defined operations on data parameters to generate structured code information, comprising:
the parameter design unit responds to the selection of the message type by the user to obtain the information of the target message type; the target message type information includes at least 15 target message types; each target message type corresponds to data information received from a simulation experiment system;
the parameter design unit responds to parameter definition setting of a user on the target message type information to obtain message parameter structure information; the message parameter structure information comprises a plurality of pieces of structural parameter information; each structured parameter information corresponds to a unique one of the target message types; the structured parameter information comprises at least 3 structured parameters;
the code generating unit compiles the information of the message parameter structure to obtain code file information;
the code generating unit associates the code file information with the target message type information to obtain structured code information.
Note that the compiling process is implemented based on a message data serialization tool, such as JavaScript Object Notation.
The above message types include a control instruction message report, a radar detection target list message report, a reconnaissance target list message report, an interference target list message report, an equipment status message report, an antenna parameter message report, a reconnaissance status message report, an interference status message report, a communication result message report, a cross positioning message report, a defending plane route message report, a defending plane projection return message report, a threat area message report, a task termination message report, and a situation update frequency message report, which are not limited in the embodiment of the application.
It should be noted that, the above structured parameters include a message field type, a name and a default value, which is not limited in the embodiment of the present application.
Therefore, the simulation data structured processing system described by the embodiment of the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
As an alternative embodiment, as shown in fig. 2, the data processing module includes a data acquisition unit and a data conversion unit; wherein,,
the data acquisition unit is used for loading and analyzing simulation data from the simulation experiment system to obtain simulation parameter data;
and the data conversion unit is used for carrying out structural processing on the simulation process data by utilizing the structural code information so as to generate target structural data information.
Therefore, the simulation data structured processing system described by the embodiment of the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
As an alternative embodiment, the data processing module loads simulation process data from the simulation experiment system and performs structural processing on the simulation process data by using the structural code information to generate target structural data information, including:
the data acquisition unit loads simulation data from the simulation experiment system to obtain simulation process data;
the data acquisition unit performs parameter extraction on the simulation process data to obtain simulation parameter data;
the data conversion unit selects a target message type matched with the simulation parameter data from the target message type information as a parameter message type;
the data conversion unit performs parameter replacement updating on the message parameter structure information corresponding to the parameter message type by using the simulation parameter data to obtain target parameter structure information;
and the data conversion unit calls a structured code corresponding to the parameter message type to carry out serialization packaging processing on the target parameter structure information to obtain target structured data information.
It should be noted that the simulation experiment system may be a multi-agent simulation experiment system, and the embodiment of the application is not limited.
It should be noted that, the selection of the type of the target message is implemented based on name matching, for example, whether the name codes corresponding to the type of the target message and the simulation parameter data are consistent or whether the numbers of the two are consistent is analyzed, which is not limited by the embodiment of the present application.
The parameter replacement update is to replace the parameter value corresponding to each data field in the message parameter structure information.
It should be noted that, the serialization and packaging process refers to that the message structure serialization interface is used to call the structured code to perform the serialization and packaging process on the target parameter structure information, that is, the data structure is converted into the byte stream, so as to be convenient for transmission and processing on the system.
Therefore, the simulation data structured processing system described by the embodiment of the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
As an optional implementation manner, the data acquisition unit performs parameter extraction on simulation process data to obtain simulation parameter data, and includes:
the data acquisition unit extracts parameters corresponding to each data field in the simulation process data to obtain parameter data information;
the data acquisition unit acquires standard units corresponding to the data fields from the information parameter structure information;
the data acquisition unit carries out numerical unit conversion on the parameter data information according to the standard unit to obtain simulation parameter data.
It should be noted that, the data fields are different parameter names, such as cycle number, step length, input value, and output value, which are not limited in the embodiment of the present application.
It should be noted that, the standard units are units corresponding to different parameters, for example, the standard unit corresponding to the length is meter, and the standard unit corresponding to the area is square meter, which is not limited in the embodiment of the present application.
It should be noted that the above numerical unit conversion is to convert the numerical value in the parameter data information into a standard unit, for example, the length of the parameter data information is 10 cm, and the standard unit is 0.1 m.
Therefore, the simulation data structured processing system described by the embodiment of the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
As an alternative embodiment, as shown in fig. 2, the data parsing module includes a data receiving unit and a data parsing unit; wherein,,
the data receiving unit is used for receiving the target structured data information to obtain the received structured data information;
and the data analysis unit is used for performing inverse sequence analysis on the received structured data information to obtain target parameter information.
Therefore, the simulation data structured processing system described by the embodiment of the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
As an optional implementation manner, the data analysis module matches and receives the target structured data information after serialization processing, and performs inverse serialization analysis on the received target structured data information to obtain target parameter information, and includes:
the data receiving unit responds to the receiving parameter type set by the user to obtain a target receiving information type;
the data receiving unit receives corresponding target structured data based on the name matching relation between the type of the target received message and the target structured data information after the serialization processing, and obtains the received structured data information; the name matching relationship characterizes that the data names are consistent;
the data analysis unit determines to obtain a target structured code based on the type matching relation between the type of the target received message and the structured code; the code types corresponding to the type matching relation representation data fields are consistent;
the data analysis unit invokes the anti-serialization code associated with the target structured code;
and the data analysis unit performs deserialization processing on the received structured data information by using the deserialization code to obtain target parameter information.
It should be noted that, receiving the corresponding target structured data is based on a distributed messaging technology to receive the data.
It should be noted that, the data name refers to a name number or a name code corresponding to the data field, which is not limited in the embodiment of the present application.
It should be noted that the code types may be a code structure type and a code compiling type, and the embodiment of the present application is not limited.
It should be noted that, the anti-serialization code refers to converting the serialized received structured data information data back to its original form for use in the logic processing process inside the intelligent algorithm.
Therefore, the simulation data structured processing system described by the embodiment of the application is beneficial to solving the problem that the simulation experiment environment and the intelligent algorithm cannot be integrated and interacted, and improving the simulation efficiency.
Example two
The embodiment of the application discloses a computer readable storage medium, which comprises a simulation data structuring processing system as in the first embodiment. It should be noted that, for the detailed description of the simulation data structured processing system, please refer to the detailed description of the related content in the first embodiment, and the detailed description is omitted.
Example III
The embodiment of the application discloses electronic equipment, which comprises a simulation data structuring processing system as in the first embodiment. It should be noted that, for the detailed description of the simulation data structured processing system, please refer to the detailed description of the related content in the first embodiment, and the detailed description is omitted.
The foregoing describes certain embodiments of the present disclosure, other embodiments being within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. Furthermore, the processes depicted in the accompanying drawings do not necessarily have to be in the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-transitory computer readable storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to portions of the description of method embodiments being relevant.
The apparatus, the device, the nonvolatile computer readable storage medium and the method provided in the embodiments of the present disclosure correspond to each other, and therefore, the apparatus, the device, and the nonvolatile computer storage medium also have similar advantageous technical effects as those of the corresponding method, and since the advantageous technical effects of the method have been described in detail above, the advantageous technical effects of the corresponding apparatus, device, and nonvolatile computer storage medium are not described herein again.
In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., a field programmable gate array (Field Programmable gate array, FPGA)) is an integrated circuit whose logic function is determined by the user programming the device. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware DescriptionLanguage), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (RubyHardware Description Language), etc., VHDL (Very-High-SpeedIntegrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present specification.
It will be appreciated by those skilled in the art that the present description may be provided as a method, system, or computer program product. Accordingly, the present specification embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description embodiments may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, 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 storage media for a computer 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 technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
Finally, it should be noted that: the embodiment of the application discloses a simulation data structuring processing system which is disclosed as a preferred embodiment of the application and is only used for illustrating the technical scheme of the application, but not limiting the technical scheme; although the application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The simulation data structuring processing system is characterized by comprising a structural design module, a data processing module, a data distribution module and a data analysis module; wherein,,
the structural design module is used for responding to the definition operation of a user on the data parameters so as to generate structured code information; the structured code information comprises a plurality of structured codes;
the data processing module is used for loading simulation process data from a simulation experiment system and carrying out structuring processing on the simulation process data by utilizing the structuring code information so as to generate target structuring data information;
the data distribution module is used for carrying out serialization processing on the target structured data information and then issuing the target structured data information;
the data analysis module is used for matching the target structured data information after the received serialization processing, and performing inverse serialization analysis on the received target structured data information to obtain target parameter information.
2. The simulated data structure processing system of claim 1 wherein said structural design module comprises a parameter design unit and a code generation unit; wherein,,
the parameter design unit is used for responding to the definition operation of the user on the data parameters so as to generate message parameter structure information;
the code generating unit is used for compiling the message parameter structure information to generate the structured code information.
3. The simulated data structure processing system of claim 2, said structural design module responsive to user defined operation of data parameters to generate structured code information comprising:
the parameter design unit responds to the selection of the message type by the user to obtain target message type information; the target message type information includes at least 15 target message types; each of the target message types corresponds to data information received from a simulation experiment system;
the parameter design unit responds to the parameter definition setting of the user on the target message type information to obtain message parameter structure information; the message parameter structure information comprises a plurality of pieces of structural parameter information; each of the structured parameter information corresponds to a unique one of the target message types; the structured parameter information comprises at least 3 structured parameters;
the code generating unit compiles the message parameter structure information to obtain code file information;
and the code generating unit associates the code file information with the target message type information to obtain structured code information.
4. The simulated data structure processing system of claim 1 wherein said data processing module comprises a data acquisition unit and a data conversion unit; wherein,,
the data acquisition unit is used for loading and analyzing simulation data from the simulation experiment system to obtain simulation parameter data;
the data conversion unit is used for carrying out structuring processing on the simulation process data by utilizing the structuring code information so as to generate target structuring data information.
5. The simulated data structure processing system of claim 4, said data processing module loading simulated process data from a simulation experiment system and using said structured code information to structure said simulated process data to generate target structured data information comprising:
the data acquisition unit loads simulation data from the simulation experiment system to obtain simulation process data;
the data acquisition unit performs parameter extraction on the simulation process data to obtain simulation parameter data;
the data conversion unit selects a target message type matched with the simulation parameter data from the target message type information as a parameter message type;
the data conversion unit performs parameter replacement updating on the message parameter structure information corresponding to the parameter message type by utilizing the simulation parameter data to obtain target parameter structure information;
and the data conversion unit calls the structured code corresponding to the parameter message type to carry out serialization packaging processing on the target parameter structure information to obtain target structured data information.
6. The system according to claim 5, wherein the data acquisition unit performs parameter extraction on the simulation process data to obtain the simulation parameter data, and the method comprises:
the data acquisition unit extracts parameters corresponding to each data field in the simulation process data to obtain parameter data information;
the data acquisition unit acquires standard units corresponding to the data fields from the information parameter structure information;
and the data acquisition unit carries out numerical unit conversion on the parameter data information according to the standard unit to obtain the simulation parameter data.
7. The simulated data structure processing system of claim 1 wherein said data parsing module comprises a data receiving unit and a data parsing unit; wherein,,
the data receiving unit is used for receiving the target structured data information to obtain the received structured data information;
the data analysis unit is used for performing inverse sequence analysis on the received structured data information to obtain target parameter information.
8. The system of claim 7, wherein the data parsing module matches the received serialized target structured data information and performs inverse serialization parsing on the received target structured data information to obtain target parameter information, and the method comprises:
the data receiving unit responds to the type of the receiving parameter set by the user to obtain a target receiving information type;
the data receiving unit receives corresponding target structured data based on the name matching relation between the target received message type and the target structured data information after serialization processing, and obtains received structured data information; the name matching relationship characterizes that the data names are consistent;
the data analysis unit determines to obtain a target structured code based on the type matching relation between the type of the target received message and the structured code; the code types corresponding to the type matching relation characterization data fields are consistent;
the data analysis unit invokes the inverse serialization code associated with the target structured code;
and the data analysis unit performs deserialization processing on the received structured data information by using the deserialization code to obtain target parameter information.
9. A computer readable storage medium storing computer instructions which, when invoked, are operable to execute the simulated data structure processing system of any one of claims 1-8.
10. An electronic device comprising the emulated data structured processing system of any of claims 1-8.
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