CN111708607A - Web-based online simulation intelligent agv simulation scheduling method and device - Google Patents
Web-based online simulation intelligent agv simulation scheduling method and device Download PDFInfo
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- CN111708607A CN111708607A CN202010557246.4A CN202010557246A CN111708607A CN 111708607 A CN111708607 A CN 111708607A CN 202010557246 A CN202010557246 A CN 202010557246A CN 111708607 A CN111708607 A CN 111708607A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45504—Abstract machines for programme code execution, e.g. Java virtual machine [JVM], interpreters, emulators
- G06F9/45508—Runtime interpretation or emulation, e g. emulator loops, bytecode interpretation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
Abstract
The invention provides a web-based online simulation intelligent agv simulation scheduling method and a device, wherein the method comprises the following steps: the method comprises the steps that simulation data of users are stored in a node server in advance, a mapping table corresponding to the simulation data is generated in a control node server, and node server identifications and user identifications stored in the simulation data of the users are stored in the mapping table; receiving a simulation request initiated by a user, and searching a node server of user simulation data according to the corresponding relation between the identification information of the user and a mapping table; and acquiring the simulation data of the user from the node server to perform simulation processing. By applying the embodiment of the invention, the acquisition time of the simulation data is saved.
Description
Technical Field
The invention relates to the technical field of data simulation, in particular to a web-based online simulation intelligent agv simulation scheduling method and device.
Background
With the popularization and promotion of the internet + concept, it has become a trend to move the simulation process to online programming and execution. In a virtual scene, because the user model library has data redundancy and a huge data amount, it is an urgent technical problem to be solved to improve the processing speed of simulation data.
The invention patent application with the application number of CN201811582669.0 in the prior art discloses a distributed parallel real-time simulation scheduling implementation method. By defining a simulation soft bus and designing the simulation soft bus, the concurrent execution of multi-simulation tasks established by multiple users is realized. The simulation scheduling and each simulation model are interconnected with the simulation soft bus, the simulation clock and the simulation data are interconnected on the simulation soft bus in a point-to-point mode, and each data connection is divided in the simulation soft bus through a DDS port, so that each element in the simulation system does not have a coupling relation, and the redundant design of the simulation scheduling is supported, the stability of the distributed simulation system is greatly improved, the risk of the distributed simulation system is reduced, and the adaptability of the distributed real-time simulation system is improved; the design uniquely employs a real-time adapter module to achieve distributed soft real-time and hard real-time seamless interfacing. The correct operation of the distributed parallel simulation system is ensured by adding the simulation scheduling backup. However, when actual data scheduling is performed, a system architecture and a data scheduling method of the application are shown in fig. 1, where fig. 1 is a schematic deployment diagram of an online simulation user model data server cluster in the prior art, user model data is stored in a node server cluster, and the node server cluster is a distributed cluster composed of a plurality of node servers. When the online simulation platform receives a simulation request of a terminal user, simulation operation needs to be realized through all user model data and component attributes in the cluster. However, data of the same user may be stored in different node servers, before the simulation starts, a backup of simulation data corresponding to the user needs to be read from each node server, the simulation data includes model data and component attribute data, consistency between backups is judged, after consistency check is passed, the data are copied to a web service, and model simulation is performed in the web server; due to the large data volume of the simulation data, the process takes more than 10 seconds. After the simulation processing is finished, the simulation result is synchronized to each node server, and then the simulation logs are collected for analysis and calculation to obtain the quality result of the simulation service of the user.
Therefore, in the prior art, the time consumed for reading the simulation data is long, and the quality result of the simulation service is analyzed after the data is synchronized, so that a user cannot obtain the quality result in time, and the user experience is reduced.
Disclosure of Invention
The technical problem to be solved by the invention is how to reduce the time consumption for reading the simulation data.
The invention solves the technical problems through the following technical means:
the embodiment of the invention provides a web-based online simulation intelligent agv simulation scheduling method, which is applied to a agv simulation system, wherein the agv simulation system comprises: the system comprises a node server, a control node server and a web server; the method comprises the following steps:
the method comprises the steps that simulation data of users are stored in a node server in advance, a mapping table corresponding to the simulation data is generated in a control node server, and node server identifications and user identifications stored in the simulation data of the users are stored in the mapping table;
the web server receives a simulation request initiated by a user, and the control node server searches out a node server of user simulation data according to the corresponding relation between the identification information of the user and the mapping table;
and acquiring the simulation data of the user from the node server to perform simulation processing.
By applying the embodiment of the invention, the mapping table corresponding to the simulation data is generated in the control node server, the corresponding node server can be directly found according to the mapping table in the simulation data reading process before the simulation starts, and the simulation data is obtained from the node server, so that the acquisition time of the simulation data is saved compared with the prior art in which each node server is traversed, the consistency comparison is carried out, and then the simulation data is obtained.
Optionally, each user corresponds to a node server storing simulation data.
Optionally, the acquiring simulation data of the user from the node server to perform simulation processing includes:
and acquiring an output index of the user aiming at the simulation result, acquiring a plurality of first screening conditions from the output index, and generating the simulated output result corresponding to the first screening conditions.
Optionally, the output index includes: one of the component process grade and the output result data type;
the first screening condition includes: the rotation force control degree of the components, the rotation angular velocity, the deformation index after the components are synthesized, and the friction force index between the components after the components are nested.
Optionally, the obtaining a plurality of first screening conditions from the output index includes:
and randomly acquiring a plurality of first screening conditions from the output indexes.
Optionally, the acquiring simulation data of the user from the node server to perform simulation processing includes:
respectively generating a simulation process and a log process, wherein the simulation process is used for acquiring simulation data of a user from the node server to perform simulation processing; the log process is used for recording simulation parameters and simulation progress in the simulation process.
Optionally, while generating the simulated output result corresponding to the first screening condition, the method further includes:
and generating output results and simulation quality results corresponding to other screening conditions in the output indexes, and synchronizing the output results to the node server.
Optionally, the method further includes:
acquiring a second screening condition of an output result of the user aiming at the output index; and screening a second output result and a simulation quality result corresponding to the second screening condition from output results corresponding to other screening conditions, and outputting the second output result and the simulation quality result.
The invention also provides a simulation scheduling device, which comprises: a node server, a control node server, and a web server, wherein,
the node server is used for storing simulation data of the user in the node server in advance;
the control node server is used for generating and storing a mapping table corresponding to the simulation data, wherein node server identifications stored in the simulation data of all users and user identifications are stored in the mapping table;
the Web server is used for receiving a simulation request initiated by a user and commanding the control node server to find out a node server of user simulation data according to the corresponding relation between the identification information of the user and the mapping table; and acquiring the simulation data of the user from the node server to perform simulation processing.
Optionally, the apparatus further comprises: and the log server is used for recording simulation parameters and simulation progress in the simulation process.
The invention has the advantages that:
by applying the embodiment of the invention, the mapping table corresponding to the simulation data is generated in the control node server, the corresponding node server can be directly found according to the mapping table in the simulation data reading process before the simulation starts, and the simulation data is obtained from the node server, so that the acquisition time of the simulation data is saved compared with the prior art in which each node server is traversed, the consistency comparison is carried out, and then the simulation data is obtained.
Drawings
FIG. 1 is a schematic diagram of a deployment of an online simulation user model data server cluster in the prior art;
fig. 2 is a schematic structural diagram of a simulation scheduling apparatus according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for web-based online simulation intelligence agv simulation scheduling according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of a random algorithm in the web-based online simulation intelligence agv simulation scheduling method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Fig. 2 is a schematic structural diagram of a simulation scheduling apparatus according to an embodiment of the present invention, and as shown in fig. 2, the apparatus includes: node server, control node server, Web server. Based on the device, the method for realizing the online simulation intelligent agv simulation scheduling based on the web comprises the following steps:
s101: simulation data of users are stored in a node server in advance, and a mapping table corresponding to the simulation data is generated in a control node server, wherein node server identifications stored in the simulation data of the users and the user identifications are stored in the mapping table.
As shown in fig. 2, the simulation data corresponding to the user 1 is stored in the data node 1; the emulation data for user 2 is stored in data node 2, and so on. Each user corresponds to a node server storing simulation data. Different users may use the same node server.
Further, one user may correspond to multiple node servers, for example, graph data in the simulation data of the user 1 is stored in the data node 1, model parameter data in the simulation data of the user 1 is stored in the data node n, and simulation model architecture data from the user is stored in the data node m.
S102: and receiving a simulation request initiated by a user, and searching a node server of the user simulation data according to the corresponding relation between the identification information of the user and the mapping table.
As shown in fig. 3, the user 1 sends a simulation request to the web server online, and after receiving the simulation request, the web server sends the simulation request to the control node server, and the control node server finds out the storage server of the simulation data corresponding to the user 1, that is, the data node 1, from the mapping table. The control node server directly reads corresponding simulation data from the data node 1, and then performs simulation processing according to the simulation data.
S103: and acquiring the simulation data of the user from the node server to perform simulation processing.
When the simulation is started, the control node respectively generates a simulation process and a log process, wherein the simulation process is used for acquiring simulation data of a user from the node server to perform simulation processing; the log process records the detailed records of the user operating system, including time, IP address, requested function, accessed data interface and the like, and records the system log records of a series of actions, namely data reading operation, data operation, data synthesis operation and the like, which are completed by the system under the request of the user in the log server.
Simulation data is the 3D vector diagram for each component in the simulation environment, as well as various attributes of the component.
Further, in this embodiment, in step S103, an output index of the user for the simulation result may be obtained first, a plurality of first filtering conditions are randomly obtained from the output index, and the simulation output result corresponding to the first filtering conditions is generated.
Illustratively, as shown in fig. 3, the user information of the user 1 and the formed scene library after the user operates the model library component are collected as the condition base points of the condition algorithm. And taking the screening condition input by the user as a range, such as component attribute or simulation process requirement level, as a starting point at a condition base point to determine the component process level of the component in the simulation scene in the current request. After the above basic limiting conditions are completed, the component process grade can be used as an output index, and attribute information of various components, such as the rotation force control degree of the components, the rotation angular velocity, the deformation index after the components are combined, the friction force index between the components after the components are nested, the coefficient of a new component and other screening conditions, can be generated by a random algorithm. And combining the attributes to obtain a first screening condition. And loading each component and each model through the control node server according to the first screening condition, carrying out online simulation to form simulation results, and displaying the simulation results to a user. In practical applications, the output index may also be a data format of the output simulation image. In the prior art, all simulation results under the condition base point are displayed to a user, and most of the simulation results are not needed by the user, so that too many user interfaces are occupied. In the embodiment of the invention, the simulation result desired by the user can be displayed to the user on one hand and excessive user interfaces are not occupied on the other hand by selective display under the screening condition of the user.
To illustrate technical effects of the embodiments of the present invention, when a load data time processed by a user data model is T, a time complexity of a random algorithm is [ (] N) (N denotes a sample size), a number of users is N, and an average response time of quality results of a system providing a simulation service by N users in an online simulation is:
the time complexity of the random algorithm is fixed, and when the number of users N gradually increases, the data loading time is a main factor influencing the user response. Therefore, the data processing method according to embodiment 1 of the present invention reduces the data loading time by pre-screening and loading part of the data using the user model data.
When the user finishes simulation, the generated simulation result and the simulation data are stored in the control node server, and then the simulation result and the corresponding simulation data are synchronized to the corresponding node server; the synchronization mode can reduce the times of accessing the data nodes by the user and reduce the pressure of the data nodes.
Further, after the simulation is finished, the log data meeting the first screening condition, the operation data in the simulation and the component information form basic data. And filtering the basic data, inducing and analyzing to form a quality result of the user model simulation service, and displaying the quality result to the user, thereby quickly generating a simulation quality result aiming at the simulation, namely user interaction time, data response time, data calling and synchronization time and the like in the log server. Compared with the prior art that all model data acquisition and attribute information of a user are firstly operated and processed and then summarized and simulated, the problem that the simulation quality result is long in acquisition time is solved, and the real-time performance of the simulation service quality result of the online simulation intelligent agv user model data is further improved. And the normal operation speed of the data node server is not influenced.
Example 2
Based on embodiment 1 of the present invention, while generating an output result of the simulation corresponding to the first screening condition, the method further includes:
and generating output results and simulation quality results corresponding to other screening conditions in the output indexes, and synchronizing the output results and the simulation quality results to the node server.
Since the random algorithm in step S103 can only show part of the simulation result to the user, but the result shown to the user may not be really desired by the user, for example, the random algorithm shows 480P of the simulation image to the user, but the user actually needs 720P or 1080P of the image, 720P and 1080P of the image can be generated in the period from the generation of 480P to the input of the new filtering condition "1080P" by the user for the user to select a new simulation result.
By applying the embodiment of the invention, even though the user does not need more simulation results, the simulation results can be synchronized to the node server 1 for subsequent use.
Example 3
Based on embodiment 2 of the present invention, the method further includes:
acquiring a second screening condition of an output result of the user aiming at the output index; and screening a second output result corresponding to the second screening condition and a corresponding simulation quality result from the output results corresponding to the other screening conditions, and outputting the second output result and the corresponding simulation quality result.
If the user selects 1080P as the second filtering condition, the control node server can directly read the simulation result obtained in embodiment 2 and present the simulation result to the user. Example 4
Corresponding to any one of embodiments 1 to 3 of the present invention, the present invention further provides a simulation scheduling apparatus, including: the system comprises a node server, a control node server and a web server, wherein the node server is used for storing simulation data of a user in the node server in advance;
the control node server is used for generating and storing a mapping table corresponding to the simulation data, wherein node server identifications stored in the simulation data of all users and user identifications are stored in the mapping table;
the Web server is used for receiving a simulation request initiated by a user and commanding the control node server to find out a node server of user simulation data according to the corresponding relation between the identification information of the user and the mapping table; and acquiring the simulation data of the user from the node server to perform simulation processing.
In a specific implementation manner of the embodiment of the present invention, the apparatus further includes: and the log server is used for recording simulation parameters and simulation progress in the simulation process.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A web-based online simulation intelligent agv simulation scheduling method is applied to a agv simulation system, wherein the agv simulation system comprises: the system comprises a node server, a control node server and a web server; the method comprises the following steps:
the method comprises the steps that simulation data of users are stored in a node server in advance, a mapping table corresponding to the simulation data is generated in a control node server, and node server identifications and user identifications stored in the simulation data of the users are stored in the mapping table;
the web server receives a simulation request initiated by a user, and the control node server searches out a node server of user simulation data according to the corresponding relation between the identification information of the user and the mapping table;
and acquiring the simulation data of the user from the node server to perform simulation processing.
2. The web-based online simulation intelligence agv simulation scheduling method of claim 1, wherein each user corresponds to a node server storing simulation data.
3. The web-based online simulation intelligent agv simulation scheduling method of claim 1, wherein the acquiring simulation data of the user from the node server for simulation processing comprises:
and acquiring an output index of the user aiming at the simulation result, acquiring a plurality of first screening conditions from the output index, and generating the simulated output result corresponding to the first screening conditions.
4. The web-based online simulation intelligence agv data response processing method of claim 3, wherein the outputting metrics includes: one of the component process grade and the output result data type;
the first screening condition includes: the rotation force control degree of the components, the rotation angular velocity, the deformation index after the components are synthesized, and the friction force index between the components after the components are nested.
5. The web-based online simulation intelligent agv data response processing method according to claim 3, wherein the obtaining of the first filtering conditions from the output index includes:
and randomly acquiring a plurality of first screening conditions from the output indexes.
6. The web-based online simulation intelligent agv simulation scheduling method of claim 5, wherein the obtaining of the simulation data of the user from the node server for simulation processing comprises:
respectively generating a simulation process and a log process, wherein the simulation process is used for acquiring simulation data of a user from the node server to perform simulation processing; the log process is used for recording simulation parameters and simulation progress in the simulation process.
7. The web-based online simulation intelligence agv simulation scheduling method of claim 3, wherein while generating the output result of the simulation corresponding to the first filtering condition, the method further comprises:
and generating output results and simulation quality results corresponding to other screening conditions in the output indexes, and synchronizing the output results to the node server.
8. The web-based online simulation intelligence agv simulation scheduling method of claim 7, wherein the method further comprises:
acquiring a second screening condition of an output result of the user aiming at the output index; and screening a second output result and a simulation quality result corresponding to the second screening condition from output results corresponding to other screening conditions, and outputting the second output result and the simulation quality result.
9. Simulation scheduler using the method of any of claims 1-8, characterized in that said device comprises: a node server, a control node server, and a web server, wherein,
the node server is used for storing simulation data of the user in the node server in advance;
the control node server is used for generating and storing a mapping table corresponding to the simulation data, wherein node server identifications stored in the simulation data of all users and user identifications are stored in the mapping table;
the Web server is used for receiving a simulation request initiated by a user and commanding the control node server to find out a node server of user simulation data according to the corresponding relation between the identification information of the user and the mapping table; and acquiring the simulation data of the user from the node server to perform simulation processing.
10. The simulation scheduling apparatus of claim 9, wherein the apparatus further comprises: and the log server is used for recording simulation parameters and simulation progress in the simulation process.
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