Launch task allocation method under resource scheduling constraints

A technology for task allocation and resource scheduling, applied in resources, data processing applications, design optimization/simulation, etc., which can solve problems such as difficulty in achieving all-weather, launch at any time, limited support capabilities, and difficulty in rockets

Active Publication Date: 2021-04-16
NO 63921 UNIT OF PLA
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Problems solved by technology

[0002] Due to the conditions of the rocket launch window, it is difficult for the rocket to be launched at any time
In addition, due to the limitation of support capabilities, it is difficult to achieve the goal of launching at any time in all weather
To this end, it is the current launch task to unify launch targets and carrying capacity, resolv

Method used

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  • Launch task allocation method under resource scheduling constraints
  • Launch task allocation method under resource scheduling constraints
  • Launch task allocation method under resource scheduling constraints

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Embodiment Construction

[0092] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0093] The overall flow chart of the inventive method is as figure 1 shown, including the following steps:

[0094] Step 1, get the launch plan;

[0095] Step 2, check whether there is a multi-point salvo according to the launch plan, and if so, perform steps 2.1 to 2.4; otherwise, directly perform step 3;

[0096] Step 2.1, carry out multi-point salvo simulation scenario, generate multi-point salvo simulation scenario script;

[0097] Step 2.2, combined with the point salvo collision analysis algorithm, conduct multi-point salvo simulation deduction;

[0098] Step 2.3, synchronizing the simulation deduction process to the digital earth for display;

[0099] Step 2.4, output the multi-point salvo simulation deduction results, and then obtain the multi-point salvo review analysis conclusion;

[0100] Step 3, combining the launch plan, simulation enviro...

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Abstract

The invention provides a launch task allocation method under a resource scheduling constraint, which can realize rapid allocation of launch tasks under the resource scheduling constraint. According to the method, task feasibility analysis, multi-point concurrent emission time window recheck analysis and the like are carried out on the basis of deduction models such as emission styles, emission platforms and emission rules, conflicts and potential defects in the aspects of time, space, capacity, interfaces, resources and the like possibly occurring in emission plans are avoided, and support is provided for perfecting the emission plans. Conflicts of emission tasks are eliminated in dimensions such as callable emission point positions and emission window sequences, consumption is reduced, and overall optimization of scheduling of various resources and coordination of emission time sequences is achieved.

Description

technical field [0001] The invention belongs to the technical field of transmission task allocation, and in particular relates to a transmission task allocation method under resource scheduling constraints. Background technique [0002] Due to the conditions of the rocket launch window, it is difficult for the rocket to be launched at any time. In addition, due to the limitation of support capabilities, it is difficult to achieve the goal of launching all-weather and at any time. To this end, it is the current launch task to unify the launch target and carrying capacity, resolve conflicts and reduce consumption in terms of callable launch points, launch window sequences, and other dimensions, so as to achieve the overall optimization of various resource scheduling and launch timing coordination. For the problems faced in the field of allocation technology, there is no method for how to allocate launch tasks in the prior art. Contents of the invention [0003] In view of ...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06Q10/06
Inventor 吴枫刘阳刘鹰李超方晖刘昕季刚张爱良陈宜稳黄晓明牟莹洁刘秀罗王佳王敏
Owner NO 63921 UNIT OF PLA
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