CN115348325A - Multichannel real-time transmission priority management and control method and system - Google Patents
Multichannel real-time transmission priority management and control method and system Download PDFInfo
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Abstract
The application discloses a multichannel real-time transmission priority management and control method and a multichannel real-time transmission priority management and control system. The method comprises the following steps: firstly, analyzing a data interaction process based on an object model, and providing software-defined DDS, gRPC and Kafka transmission channels in an application layer; then, carrying out priority description and logic design on each node in the joint training environment and a distributed object model (SDO) under each node; finally, the requirement design is realized through a priority judgment method and a priority judgment system, and a multichannel real-time transmission priority management and control technology is provided. The scheme provided by the invention can effectively ensure the ordered transmission of data according to the requirement under the conditions of concentrated data transmission requirements and large communication pressure, and further improve the timeliness, reliability and stability of the execution process of the training task.
Description
Technical Field
The application belongs to the field of distributed simulation, and particularly relates to a multichannel real-time transmission priority management and control method and system.
Background
At present, the mainstream distributed simulation architecture is mainly originated from foreign countries, including HLA-RTI, TENA and the like. HLA includes 3 parts: HLA rules, HLA Object Model Templates (OMTs), and HLA federal member interface specifications. HLA requirements are composed of individual simulation and assistance tools (known as federal members) that each correspond to a different federal objective. Individual federal members in the federal share a common Federal Object Model (FOM), and exchange information with each other based on the FOM through HLA-RTI (runtime in front structure) software. The main purpose of the TENA design is to facilitate the reusability, combinability and interoperability of testing and training, and the testing, training, simulation and high-performance computing capabilities distributed in various ranges and facilities can be integrated according to specific task requirements to form a testing and training logic range. The system mainly comprises three parts, namely a TENA object model, TENA middleware, a protocol rule for logic target range operation and the like.
The resource information interaction refers to data information transmission among all distributed resources of the logic target range so as to support the development of the training task. Taking TENA as an example, the resource information interaction depends on a distributed object model to bear data information, and data transmission is completed through middleware and a communication network. Currently, resource information interaction methods mainly focus on middleware and object models, and research on communication protocols and methods of application layers is developed.
Around the research on improving the low-latency performance, most of the researches are based on a TENA simulation architecture, and mainly include: SSS-RTI developed by a certain unit improves the overall real-time performance of the distributed simulation system by reducing end-to-end data transmission delay in the system; a hierarchical RTI product StarLink is researched and developed by a university, the system transmission efficiency is greatly improved by referring to a CORBA middleware technology, high real-time network equipment capable of being used for constructing a cluster simulator is developed, and a real-time distribution network system is constructed by using the real-time network equipment. BH-RTI that a university offered adopts the multicast mode to communicate, is based on RTI relevant service, has effectively reduced system transmission delay.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a technical scheme of a multichannel real-time transmission priority management and control method, so as to solve the technical problems.
The first aspect of the invention discloses a multichannel real-time transmission priority management and control method, which comprises the following steps:
s1, combing a transmission link from the perspective of data transmission to construct a transmission channel;
s2, establishing node priority according to the important emergency degree of each node data allowed to the trial task;
s3, establishing an object model data interaction priority according to the service property and the data volume of the data in the node;
and S4, carrying out data interaction on each node through the middleware and the transmission channel according to the node priority and the object model data interaction priority.
According to the method of the first aspect of the present invention, in said step S1, the transmission channels are divided into a DDS transmission channel, a gRPC transmission channel, and a Kafka transmission channel according to the component functions of the middleware.
According to the method of the first aspect of the present invention, in step S2, the method for establishing the node priority according to the importance degree of each node data allowed for the training task includes: from the perspective of information importance, the nodes are divided into A, B and C type nodes, and the priority is reduced in sequence; the A-type node is a command control type node, and the type of node is related to test process control information; the B-type node is a process execution type node and executes a test control instruction; and the C type node is a non-experimental demand type node, and executes data acquisition and storage.
According to the method of the first aspect of the present invention, in the step S2, the priorities of the A, B and the C type nodes are weighted as follows:
setting the priority weight of the class A node to be 1 to 0.9;
setting the weight of the priority of the class B node to be 0.6 to 0.5;
and setting the weight of the priority of the class C node to be 0.3 to 0.2.
According to the method of the first aspect of the present invention, in step S3, the method for establishing the interaction priority of the object model data according to the service property and the data size of the data in the node includes:
from the perspective of transmission interaction, according to the service property of data in the node, the object model classification includes: request response class, message interaction class and object interaction class;
the information interaction has higher requirements on reliability, and a request response mode is adopted for interaction;
the method has higher requirements on throughput, and adopts a message interaction mode to carry out interaction;
the object instance and the object instance attribute are interacted in an object interaction mode;
the request response type object model belongs to control instruction type data and has the highest priority;
the message interaction type object model belongs to process data interaction in a test, and the priority is intermediate;
and the object interaction class object model is used for node object instances or object instance attributes and has the lowest priority.
According to the method of the first aspect of the present invention, in step S3, the interaction priority of the request response class object model, the message interaction class object model, and the object interaction class object model has the following weight:
setting the weight of the interaction priority of the request response type object model to be 1 to 0.9;
setting the weight of the interaction priority of the message interaction class object model to be 0.6 to 0.5;
and setting the weight of the interaction priority of the object interaction class object model to be 0.3 to 0.2.
According to the method of the first aspect of the present invention, in step S4, the method for each node to perform data interaction with the transmission channel through the middleware according to the node priority and the object model data interaction priority includes:
firstly, judging the priority of a node level; then, judging the interaction priority of the object model data of the node; finally, carrying out matching setting of a transmission channel;
the request response type object model corresponds to a gPRC transmission channel;
the message interaction class object model corresponds to a Kafka transmission channel;
the object interaction class object model corresponds to a DDS transmission channel.
The second aspect of the invention discloses a multichannel real-time transmission priority management and control system, which comprises:
the first processing module is configured to comb the transmission link from the perspective of data transmission and propose to construct a transmission channel;
the second processing module is configured to establish node priority according to the important emergency degree allowed by each node data to the trial task;
the third processing module is configured to establish the interaction priority of the object model data according to the service property and the data volume of the data in the node;
and the fourth processing module is configured to enable each node to perform data interaction with the transmission channel through the middleware according to the node priority and the object model data interaction priority.
According to the system of the second aspect of the present invention, the first processing module is configured to divide the transmission channel into a DDS transmission channel, a gRPC transmission channel, and a Kafka transmission channel in accordance with the component functions of the middleware.
According to the system of the second aspect of the present invention, the second processing module is configured to establish the node priority according to the degree of importance of each node data to the training task, including: from the perspective of information importance, the nodes are divided into A, B and C type nodes, and the priority is reduced in sequence; the A-type node is a command control type node, and the type of node is related to test process control information; the B-type node is a process execution type node and executes a test control instruction; and the C-type node is a non-test demand-type node, executes data acquisition and stores the data.
According to the system of the second aspect of the present invention, the second processing module is configured to weight the priorities of the A, B and the class C nodes as follows:
setting the priority weight of the class A node to be 1 to 0.9;
setting the weight of the priority of the B-type node to be 0.6 to 0.5;
and setting the weight of the priority of the class C node to be 0.3 to 0.2.
According to the system of the second aspect of the present invention, the third processing module is configured to establish the object model data interaction priority according to the service property and the data volume of the data in the node, including:
from the perspective of transmission interaction, according to the service property of data in the node, the object model classification includes: request response class, message interaction class and object interaction class;
the information interaction has higher requirements on reliability, and a request response mode is adopted for interaction;
the method has higher requirements on throughput, and adopts a message interaction mode to carry out interaction;
the object instance and the object instance attribute are interacted in an object interaction mode;
the request response type object model belongs to control instruction type data and has the highest priority;
the message interaction type object model belongs to process data interaction in a test, and the priority is intermediate;
and the object interaction class object model is used for node object instances or object instance attributes and has the lowest priority.
According to the system of the second aspect of the present invention, the third processing module is configured to weight the interaction priority of the request response class object model, the message interaction class object model and the object interaction class object model as follows:
setting the weight of the interaction priority of the request response type object model to be 1 to 0.9;
setting the weight of the interaction priority of the message interaction class object model to be 0.6 to 0.5;
and setting the weight of the interaction priority of the object interaction class object model to be 0.3 to 0.2.
According to the system of the second aspect of the present invention, the fourth processing module is configured to, according to the node priority and the object model data interaction priority, perform data interaction with the transmission channel through the middleware, including:
firstly, judging the priority of a node level; then, judging the interaction priority of the object model data of the node; finally, channel matching setting is carried out;
the request response type object model corresponds to a gPRC transmission channel;
the message interaction class object model corresponds to a Kafka transmission channel;
the object interaction class object model corresponds to a DDS transmission channel.
A third aspect of the invention discloses an electronic device. The electronic device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the multichannel real-time transmission priority management method according to any one of the first aspect of the present invention when executing the computer program.
A fourth aspect of the invention discloses a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of a method for multi-channel real-time transport priority management according to any one of the first aspect of the present invention.
The technical effect that this application will reach can be under the condition that the data transmission demand is concentrated, communication pressure is bigger than normal, effectively ensure the orderly transmission as required of data, further promote the timeliness, reliability and the stability of the task execution process of the training.
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In order to more clearly illustrate the embodiments or prior art solutions of the present application, the drawings used in the description of the embodiments or prior art will be briefly described below, it is obvious that the drawings in the description below are only some embodiments described in the present application, and that other drawings can be obtained by those skilled in the art without inventive labor.
Fig. 1 is a flowchart of a method for controlling priority of multi-channel real-time transmission according to an embodiment of the present invention;
FIG. 2 is a diagram of multi-channel real-time content composition management according to an embodiment of the invention;
FIG. 3 is a diagram of an object model interaction process between nodes according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of transmission channels between nodes in a federated all-in-one training software environment in accordance with an embodiment of the present invention;
FIG. 5 is a block diagram of a multi-channel real-time transmission priority management system according to an embodiment of the present invention;
fig. 6 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following embodiments and accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the 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 application.
The invention discloses a multichannel real-time transmission priority management and control method in a first aspect. Fig. 1 is a flowchart of a method for controlling priority of multi-channel real-time transmission according to an embodiment of the present invention, as shown in fig. 1 and fig. 2, the method includes:
s1, combing a transmission link from the perspective of data transmission to construct a transmission channel;
s2, establishing node priority according to the important emergency degree of each node data allowed for the trial task;
s3, establishing object model data interaction priority according to the service property and the data volume of the data in the node;
and S4, performing data interaction on each node through the middleware and the transmission channel according to the node priority and the object model data interaction priority.
In step S1, from the perspective of data transmission, the transmission link is carded to construct a transmission channel.
In some embodiments, in the step S1, the transmission channels are divided into a DDS transmission channel, a gRPC transmission channel, and a Kafka transmission channel according to the component functions of the middleware.
Specifically, the transmission channel is divided into channels defined by three types of software, namely a DDS transmission channel, a gPRC transmission channel and a Kafka transmission channel according to the functions of middleware components without considering the transmission details of the physical layer of the test network; each resource participating in the training environment is a node, and each node is connected with a backbone test communication link network chain through a middleware tool for communication, so that interconnection and intercommunication interoperation among the resources are finally realized on the service. The middleware adopts a service idea, flexibly integrates different message communication technical systems, adapts to different application requirements (control commands, data acquisition, state monitoring and the like), provides three types of data interfaces for a node resource object model, and provides several types of communication modes including Remote Procedure Call (RPC), message queue (MQ Kafka), data Distribution (DDS), file transmission and the like for a backbone test network.
In step S2, a node priority is established according to the important urgency level allowed by each node data to the trial task.
In some embodiments, in step S2, the method for establishing the node priority according to the degree of importance of the node data to the training task includes: from the perspective of information importance, the nodes are divided into A, B and C three types of nodes, and the priority is reduced in sequence; the A-type node is a command control type node, and the type of node is related to test process control information; the B-type node is a process execution type node and executes a test control instruction; and the C-type node is a non-test demand-type node, executes data acquisition and stores the data.
The priority of the A, B and C type nodes is weighted as follows:
setting the priority weight of the class A node to be 1 to 0.9;
setting the weight of the priority of the B-type node to be 0.6 to 0.5;
and setting the weight of the priority of the class C node to be 0.3 to 0.2.
Specifically, from the perspective of supporting the importance of the training task, the nodes to be tested are combed, classified and identified, and a priority basic rule is constructed. As shown in fig. 3, a brief illustration of the information interaction process between two nodes through respective object models, middleware, and software-defined transmission channels is given.
The test training environment consists of a plurality of test nodes, and the nodes are basic units for resource management and test operation. As shown in fig. 4, nodes in the environment are trained, such as test mission planning, test management and control, test situation display, HLA system, combat simulation system, and the like. The nodes can be physical/semi-physical facility equipment, a full-digital virtual simulation system, and can also be heterogeneous simulation systems with different technical systems.
Different nodes have different requirements on transmission, such as application scenarios, data reliability, node throughput and the like. From the overall demand of the combined integration test, the data of different nodes also have different importance degrees on the efficient development of the test, or have different importance levels before and after different time periods. For example, when the test command system data and the playback collected data occur simultaneously, the command system data needs to be transmitted preferentially.
Judging node priority, and ensuring information transmission of important components, specifically as follows:
P={p1,p2,……pm}
Q(i)=p,i=1,2,……m
wherein, P is the set of all access nodes in the joint test environment, Q (i) is the weight value of the ith node, m is the node number, and P is an assignable variable.
With reference to the partitioning of node importance levels A, B, and C, when a set of peak data interaction requests { pi, pj, pk } occurs, the corresponding weight combinations { Qi, qj, qk } are compared. By the weight value, it can be obviously judged which node has the data to transmit preferentially.
The priority weight value of each node may be set during the trial preparation phase.
And step S3, establishing the interaction priority of the object model data according to the service property and the data volume of the data in the node.
In some embodiments, in step S3, the method for establishing the interaction priority of the object model data according to the service property and the data volume of the data in the node includes:
from the perspective of transmission interaction, according to the service property of data in the node, the object model classification includes: request response class, message interaction class and object interaction class;
the information interaction has higher requirements on reliability, and a request response mode is adopted for interaction;
the method has higher requirements on throughput, and adopts a message interaction mode to carry out interaction;
the object instance and the object instance attribute are interacted in an object interaction mode;
the request response type object model belongs to control instruction type data and has the highest priority;
the message interaction type object model belongs to process data interaction in a test, and the priority is intermediate;
and the object interaction class object model is used for node object instances or object instance attributes and has the lowest priority.
The interaction priority weights of the request response type object model, the message interaction type object model and the object interaction type object model are as follows:
setting the weight of the interaction priority of the request response type object model to be 1 to 0.9;
setting the weight of the interaction priority of the message interaction class object model to be 0.6 to 0.5;
and setting the weight of the interaction priority of the object interaction class object model to be 0.3 to 0.2.
Specifically, the object model refers to an abstract model of external data interaction of one node, and each node has one and only one object model. For the trial network, data interaction between nodes can be realized only by knowing the object model of the access node without knowing other conditions inside the node.
And a complete training task comprises various data before, during and after the task. From the perspective of transmission interaction, situations such as request response, message interaction, object interaction and the like are generally included.
From the perspective of transmission interaction, according to the service property of data in the node, the object model classification includes: request response class, message interaction class and object interaction class;
the information interaction has higher requirements on reliability, and a request response mode is adopted for interaction;
the method has higher requirements on throughput, and adopts a message interaction mode to carry out interaction;
the object instance and the object instance attribute are interacted in an object interaction mode;
the request response type object model belongs to control instruction type data and has the highest priority;
the message interaction type object model belongs to process data interaction in a test, and the priority is centered;
and the object interaction class object model is used for node object instances or object instance attributes and has the lowest priority.
The interaction priority weights of the request response type object model, the message interaction type object model and the object interaction type object model are as follows:
setting the weight of the interaction priority of the request response type object model to be 1 to 0.9;
setting the weight of the interaction priority of the message interaction class object model to be 0.6 to 0.5;
and setting the weight of the interaction priority of the object interaction class object model to be 0.3 to 0.2.
Judging the interaction priority in the object model, judging the object interaction communication mode and the corresponding specific content, and establishing a priority order in a certain node, which is specifically as follows:
s={s1,s2,s3 }
R(i)=si,i=1,2,3
wherein s is a priority weight value set which respectively corresponds to three types of communication modes of object model interaction and corresponding contents, si is a weight value of a certain type of communication mode and corresponding contents, and i is a specific number.
And S4, each node performs data interaction with the transmission channel through the middleware according to the node priority and the object model data interaction priority.
In some embodiments, in step S4, the method for performing, by each node, data interaction with the transmission channel through the middleware according to the node priority and the object model data interaction priority includes:
firstly, judging the priority of a node level; then, judging the interaction priority of the object model data of the node; finally, carrying out transmission channel matching setting;
the request response type object model corresponds to a gPRC transmission channel;
the message interaction class object model corresponds to a Kafka transmission channel;
the object interaction class object model corresponds to a DDS transmission channel.
Specifically, as shown in fig. 3, the training environment realizes data interaction between two nodes through a middleware, the middleware adopts a distributed layout, and the concrete embodiment is that a middleware agent is installed at each node, and the middleware agent performs access network and management and control work on an object model for the node. Therefore, from the data interaction of the two nodes, the middleware realizes the information interaction between the two nodes, namely the experimental resources, by managing and controlling respective object models (SDOs) of the two nodes.
On the basis of middleware control, a transmission channel defined by software under a training software environment consists of a data source node, a test middleware and a data sink node. Fig. 4 shows a schematic diagram of transmission links between nodes in the software training environment.
In fig. 4, the middle 4 thick curves show several types of typical service flows and corresponding data links.
The data link 1 corresponds to a test planning service, and mainly realizes the functions of accessing a resource warehouse and a data file, managing data files used and generated in the planning process and basic geographic data provided by a GIS platform, such as the functions of managing test resources, managing a test task planning file and the like; data communication occurs between the planning tool and the shared repository primarily through middleware. According to the rule of the test node priority and the object model data interaction priority of the node, the real-time transmission channel of the data link 1 needs to be designed in priority order before and during the trial training.
The data link 2 acquires data such as resource information and operation situation of the heterogeneous system through the middleware and the heterogeneous system gateway according to the requirements of the test scheme; data communication is mainly between the experimental situation tool and the heterogeneous system. Similarly, the real-time transmission channel priority design for the data link 2 is also required for various types of instant interaction requirements. By analogy, data links 3, 4 are similarly designed.
In conclusion, the scheme provided by the invention can be used for carrying out classification identification on specific data of each node and each object model, and provides a basis for data application and value expansion; a multichannel real-time transmission priority management and control method under software definition is provided, and a new technical means is provided for ordered and reliable transmission of data; under the conditions of concentrated data transmission requirements and large communication pressure, ordered transmission of data according to requirements can be effectively guaranteed, and timeliness, reliability and stability of the execution process of the training task are further improved.
The invention discloses a multichannel real-time transmission priority management and control system in a second aspect. Fig. 5 is a structural diagram of a multi-channel real-time transmission priority management system according to an embodiment of the invention. As shown in fig. 5, the system 100 includes:
a first processing module 101 configured to comb the transmission link from the perspective of data transmission to construct a transmission channel;
the second processing module 102 is configured to establish a node priority according to the important urgency degree allowed by each node data to the trial task;
the third processing module 103 is configured to establish an object model data interaction priority according to the service property and the data volume of the data in the node;
and the fourth processing module 104 is configured to perform data interaction between each node and the transmission channel through the middleware according to the node priority and the object model data interaction priority.
According to the system of the second aspect of the present invention, the first processing module 101 is configured to divide the transmission channel into a DDS transmission channel, a gRPC transmission channel, and a Kafka transmission channel, depending on the component functions of the middleware.
According to the system of the second aspect of the present invention, the second processing module 102 is configured to establish the node priority according to the degree of importance of each node data to the training task, including: from the perspective of information importance, the nodes are divided into A, B and C three types of nodes, and the priority is reduced in sequence; the A-type node is a command control type node, and the type of node is related to test process control information; the B-type node is a process execution type node and executes a test control instruction; and the C type node is a non-experimental demand type node, and executes data acquisition and storage.
According to the system of the second aspect of the present invention, the second processing module 102 is configured to weight the priorities of the A, B and the class C nodes as follows:
setting the priority weight of the class A node to be 1 to 0.9;
setting the weight of the priority of the class B node to be 0.6 to 0.5;
and setting the weight of the priority of the class C node to be 0.3 to 0.2.
According to the system of the second aspect of the present invention, the third processing module 103 is configured to establish the object model data interaction priority according to the service property and the data volume of the data in the node, including:
from the perspective of transmission interaction, according to the service property of data in the node, the object model classification includes: request response class, message interaction class and object interaction class;
the information interaction has higher requirements on reliability, and a request response mode is adopted for interaction;
the method has higher requirements on throughput, and adopts a message interaction mode to carry out interaction;
the object instance and the object instance attribute are interacted in an object interaction mode;
the request response type object model belongs to control instruction type data and has the highest priority;
the message interaction type object model belongs to process data interaction in a test, and the priority is intermediate;
and the object interaction class object model is used for node object instances or object instance attributes and has the lowest priority.
According to the system of the second aspect of the present invention, the third processing module 103 is configured to weight the interaction priority of the request response class object model, the message interaction class object model and the object interaction class object model as follows:
setting the weight of the interaction priority of the request response type object model to be 1 to 0.9;
setting the weight of the interaction priority of the message interaction class object model to be 0.6 to 0.5;
and setting the weight of the interaction priority of the object interaction class object model to be 0.3 to 0.2.
According to the system of the second aspect of the present invention, the fourth processing module 104 is configured to, according to the node priority and the object model data interaction priority, perform data interaction with the transmission channel through the middleware, including:
firstly, judging the priority of a node level; then, judging the interaction priority of the object model data of the node; finally, carrying out transmission channel matching setting;
the request response type object model corresponds to a gPRC transmission channel;
the message interaction class object model corresponds to a Kafka transmission channel;
the object interaction class object model corresponds to a DDS transmission channel.
A third aspect of the invention discloses an electronic device. The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the steps of the multichannel real-time transmission priority management and control method in any one of the first aspect of the invention.
Fig. 6 is a block diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 6, the electronic device includes a processor, a memory, a communication interface, a display screen, and an input device, which are connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the electronic device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, near Field Communication (NFC) or other technologies. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the electronic equipment, an external keyboard, a touch pad or a mouse and the like.
It will be understood by those skilled in the art that the structure shown in fig. 6 is only a partial block diagram related to the technical solution of the present disclosure, and does not constitute a limitation to the electronic device to which the solution of the present disclosure is applied, and a specific electronic device may include more or less components than those shown in the drawings, or combine some components, or have different arrangements of components.
A fourth aspect of the invention discloses a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of a method for multi-channel real-time transport priority management according to any one of the first aspect of the present invention.
It should be noted that the technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present description should be considered. The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A multichannel real-time transmission priority management and control method is characterized by comprising the following steps:
s1, combing a transmission link from the perspective of data transmission to construct a transmission channel;
s2, establishing node priority according to the important emergency degree of each node data allowed to the trial task;
s3, establishing object model data interaction priority according to the service property and the data volume of the data in the node;
and S4, carrying out data interaction on each node through the middleware and the transmission channel according to the node priority and the object model data interaction priority.
2. The method as claimed in claim 1, wherein in step S1, the transmission channels are divided into DDS transmission channel, gRPC transmission channel, and Kafka transmission channel according to the module function of the middleware.
3. The method as claimed in claim 1, wherein in the step S2, the method for establishing the node priority according to the degree of importance of each node data to the training task comprises: from the perspective of information importance, the nodes are divided into A, B and C type nodes, and the priority is reduced in sequence; the A-type node is a command control type node, and the type of node is related to test process control information; the B-type node is a process execution type node and executes a test control instruction; and the C-type node is a non-test demand-type node, executes data acquisition and stores the data.
4. The method as claimed in claim 3, wherein in step S2, the priorities of the A, B and the C type nodes are weighted as follows:
setting the priority weight of the class A node to be 1 to 0.9;
setting the weight of the priority of the class B node to be 0.6 to 0.5;
and setting the weight of the priority of the class C node to be 0.3 to 0.2.
5. The method as claimed in claim 1, wherein in step S3, the method for establishing the interaction priority of the object model data according to the traffic property and the data volume of the data in the node includes:
from the perspective of transmission interaction, according to the service property of data in the node, the object model classification includes: request response class, message interaction class and object interaction class;
the information interaction has higher requirements on reliability, and a request response mode is adopted for interaction;
the method has higher requirements on throughput, and adopts a message interaction mode to carry out interaction;
the object instance and the object instance attribute are interacted in an object interaction mode;
the request response type object model belongs to control instruction type data and has the highest priority;
the message interaction type object model belongs to process data interaction in a test, and the priority is intermediate;
and the object interaction class object model is used for node object instances or object instance attributes and has the lowest priority.
6. The method according to claim 5, wherein in step S3, the interaction priorities of the request-response class object model, the message interaction class object model, and the object interaction class object model are weighted as follows:
setting the weight of the interaction priority of the request response type object model to be 1 to 0.9;
setting the weight of the interaction priority of the message interaction class object model to be 0.6 to 0.5;
and setting the weight of the interaction priority of the object interaction class object model to be 0.3 to 0.2.
7. The method as claimed in claim 5, wherein in step S4, the method for the nodes to perform data interaction with the transmission channel via middleware according to the node priority and the object model data interaction priority includes:
firstly, judging the priority of a node level; then, judging the interaction priority of the object model data of the node; finally, carrying out transmission channel matching setting;
the request response type object model corresponds to a gPRC transmission channel;
the message interaction class object model corresponds to a Kafka transmission channel;
the object interaction class object model corresponds to a DDS transmission channel.
8. A priority management system for multi-channel real-time transmission, the system comprising:
the first processing module is configured to comb the transmission link from the perspective of data transmission to construct a transmission channel;
the second processing module is configured to establish node priority according to the important emergency degree allowed by each node data to the trial task;
the third processing module is configured to establish the interaction priority of the object model data according to the service property and the data volume of the data in the node;
and the fourth processing module is configured to enable each node to perform data interaction with the transmission channel through the middleware according to the node priority and the object model data interaction priority.
9. An electronic device, comprising a memory storing a computer program and a processor, wherein the processor implements the steps of the method of priority management for multi-channel real-time transmission according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the steps of a method for multi-channel real-time transport priority management as claimed in any one of claims 1 to 7.
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