Model driven based imaging design method for embedded industrial real-time system

A real-time system, model-driven technology, applied in the direction of program control devices, etc., can solve the problems of time-consuming and labor-intensive, lack of intuition, and many modification details, so as to reduce development costs, good applicability and reusability, and good reliability. The effect of scalability and maintainability

Inactive Publication Date: 2013-11-27
KUNMING KANGZHUO TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The existing embedded industrial real-time system design method mainly adopts the process-oriented direct programming method, which lacks intuition, and requires developers not only to master the design principles and programming languages ​​of the control system, but also to be familiar with the use methods of various embedded platforms , and when the system requirements change, there are many modification details involved, which is time-consuming and labor-intensive

Method used

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  • Model driven based imaging design method for embedded industrial real-time system
  • Model driven based imaging design method for embedded industrial real-time system
  • Model driven based imaging design method for embedded industrial real-time system

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Experimental program
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Embodiment approach 1

[0041] Embodiment one: a kind of embedded industrial real-time system graphical design method based on model, comprises the following steps:

[0042] (1) Identify and build a graphical meta-model in the embedded industrial real-time field: analyze mainstream embedded industrial real-time systems, summarize the characteristics and structures of key elements in the embedded real-time field, identify and build a graphical meta-model, and form a domain meta-model model library;

[0043] (2) Construct the semantic knowledge base of the graphical meta-model: according to the design requirements of the embedded industrial real-time system and the normative induction semantic constraints, construct the static and dynamic semantic knowledge base in this field;

[0044](3) Formulate a model mapping rule system based on the semantic knowledge base: take the semantic knowledge base formed in step (2) as a constraint, establish a mapping rule system from the graphic source model to the tar...

Embodiment approach 2

[0062] Implementation Mode 2: Assume that the control process of an industrial data processing system is as follows: image 3 Shown:

[0063] (a) The main task establishes two subtasks: data collection subtask and data display subtask;

[0064] (b) The data acquisition subtask waits for the data sent by the peripheral through the interrupt;

[0065] (c) The data display subtask receives the data acquired by the data acquisition subtask through the mailbox, and sends the data to the peripherals of the display screen for display.

[0066] To complete the modeling of this industrial data processing system, a total of 8 graphical meta-models are used: 1 main task, 2 common tasks, 1 interrupt, 1 mailbox, 1 message, 1 semaphore, 1 peripheral resource. And it can be seen from the analysis that the three tasks are executed in parallel. There are 20 behaviors to be used, including "create task", "wait for interrupt", etc. Using the method of the present invention, a graphical sour...

Embodiment approach 3

[0067] Implementation Mode 3: Assume that the control process of a manipulator grabbing an object at a designated location, such as Figure 5 Shown:

[0068] (a) The user issues a command to grab at (x, y, z);

[0069] (b) Waiting for the proximity signal detected by the proximity sensor;

[0070] (c) Calculate joint angles (a, b);

[0071] (d) Start the action of joint 1, the target is angle a, start the action of joint 2 at the same time, the target is angle b, and start the controller at the same time;

[0072] (e) Joint 1 moves to angle a, and joint 2 moves to angle b, while rotating the controller;

[0073] (f) Grab the target.

[0074] Based on the analysis of this figure, it can be concluded that the manipulator control task can be decomposed and refined as follows, and the object metamodel required to complete the control task in this step is in brackets:

[0075] (1) The user issues the command "grab at (x, y, z)"; (1 main task)

[0076] (2) The proximity sensor...

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Abstract

The invention provides a model driven based imaging design method for an embedded industrial real-time system, and belongs to the technical field of embedded application software and industrial control. The method comprises steps as follows: an embedded industrial real-time field imaging meta model is recognized and constructed; a semantic knowledge base of the imaging meta model is constructed; a model mapping rule system based on the semantic knowledge base is formulated; a visible source model design platform is established; and a model conversion environment which is compatible to various target systems is provided. By means of the method, new system application software can be re-customized by modifying the source model according to requirements of embedded products and changes of application characteristics, and the method has good applicability, maintainability and reusability, can effectively improve the developing efficiency of an embedded industrial terminal, and is real, feasible and suitable for industrial development of embedded products.

Description

technical field [0001] The invention relates to a software development method and system thereof, in particular to a model-driven embedded industrial real-time system graphical design method, which belongs to the field of embedded system software and industrial control. Background technique [0002] For complex embedded industrial control systems such as industrial robots and CNC machine tools, they have high requirements in terms of real-time performance, parallelism and multi-point collaboration. And in the process of design and development of control software, it is extremely critical to convert the design model with both control functions and non-functional specifications into an executable implementation model on the target platform. In addition, the development of embedded industrial real-time control software also has its particularity, that is, it uses multi-task parallel execution as the main operating mechanism. Requirements, its semantic system is also more speci...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/44
Inventor 王彬
Owner KUNMING KANGZHUO TECH
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