A multi-mode measurement and control node adaptive reconstruction decision method for low-power consumption optimization

Abstract

The application provides a multi-mode measurement and control node adaptive reconstruction decision method for low-power consumption optimization, which comprises a hardware resource table, a power consumption table and a table of radio frequency channel number change corresponding to system switching; according to the current available hardware resources and the hardware resource table, the current deployable link set is screened; according to the power consumption table, the power consumption value of each optional link is calculated; according to the table of radio frequency channel number change and the link condition of the current terminal, whether the radio frequency channel needs to be adjusted for each optional link is calculated; according to the hardware resource table and the link condition of the current terminal, whether the deployment of each optional link needs to be reconstructed is calculated; according to the above results, the objective function value f of each deployable link is calculated; the link with the maximum f is selected, which is the optimal switching link decided finally. The application can decide the optimal power consumption link under resource constraints, and realizes the integration of multi-system link measurement and control terminals through a soft switching method.

Description

Technical Field

[0001] This invention relates to the fields of electronic information and measurement and control technology, and more specifically, to an adaptive reconfiguration decision method for multi-mode measurement and control nodes optimized for low power consumption. Background Technology

[0002] Existing telemetry and control terminals support a limited number of telemetry and control systems, can only establish a single type of link, and lack independent capabilities. Multi-mode telemetry and control terminals have become the future development trend. However, when multiple systems are running in parallel, telemetry and control terminals are constrained by factors such as hardware resources, power consumption, and functional IP. They need to switch systems in real time to adapt to changes in the operating environment, but this leads to increased power consumption. Summary of the Invention

[0003] This invention aims to provide an adaptive reconfiguration decision method for multi-mode telemetry and control nodes optimized for low power consumption, in order to solve the problem of increased power consumption caused by the telemetry and control terminal needing to switch modes in real time when multiple modes are running in parallel.

[0004] This invention provides an adaptive reconfiguration decision method for multi-mode telemetry and control nodes optimized for low power consumption, comprising the following steps:

[0005] The first step is to establish a table of hardware resources required when loading different measurement and control systems on the terminal side;

[0006] The second step is to establish a power consumption table for different measurement and control systems loaded on the terminal side;

[0007] The third step is to create a table showing the changes in the number of radio frequency channels under different switching strategies;

[0008] The fourth step is to filter out all links whose required hardware resources are less than the available hardware resources based on the current available hardware resources, thus forming the current set of deployable links.

[0009] The fifth step is to calculate the power consumption value of each optional link in the current deployable link set based on the power consumption table;

[0010] The sixth step is to calculate whether the radio frequency channels need to be adjusted for each optional link in the current deployable link set, based on the table of changes in the number of radio frequency channels and the current link status of the terminal.

[0011] Step 7: Based on the hardware resource table and the current link status of the terminal, calculate whether resource reconfiguration is required for the deployment of each optional link in the current deployable link set;

[0012] Step 8: Based on the results of steps 5, 6, and 7, calculate the objective function value f for each deployable link; select the link with the largest f, which is the optimal switching link in the final decision.

[0013] Furthermore, the hardware resource table required when loading different measurement and control systems on the terminal side is as follows:

[0014] Measurement and control system System 1 System 2 System 3 System 4 System 5 System 6 System 7 System 8 Digital TR √ √ √ √ √ √ x x FPGA 1-2 pieces 3 pieces 1 piece 1-2 pieces 1 piece 2 pieces x x CPU × × × √ × √ × × Beidou chips × × × × × × √ × TianTong Chip × × × × × × × √

[0015] In this context, "√" indicates that it is required, and "×" indicates that it is not required.

[0016] Furthermore, the power consumption table for different measurement and control systems loaded on the terminal side is as follows:

[0017]

[0018] Furthermore, the table showing the changes in the number of radio frequency channels under different switching strategies is as follows:

[0019]

[0020] "0" indicates that the switching strategy will not cause a change in the number of radio channels, while "1" indicates that the switching strategy will introduce a change in the number of radio channels.

[0021] Furthermore, the results of steps five, six, and seven need to be converted to the scoring system; in step eight, the objective function value f is calculated based on the converted values ​​of the results of steps five, six, and seven to the scoring system.

[0022] Furthermore, the formula for calculating the objective function value f is as follows:

[0023] f = α1A + α2B + α3C

[0024] Where A is the value of the result of step 5 converted to the scoring system; B is the value of the result of step 6 converted to the scoring system; C is the value of the result of step 7 converted to the scoring system; α1, α2, α3 are the corresponding parameter weights.

[0025] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0026] This invention is applicable to multi-mode measurement and control terminals in future measurement and control systems. It has the advantages of high reliability, high real-time performance, and low algorithm complexity. It can determine the optimal power consumption link under resource constraints and realize an integrated measurement and control terminal with multiple link modes through a soft switching method. Attached Figure Description

[0027] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A flowchart of an adaptive reconfiguration decision-making method for multi-mode measurement and control nodes optimized for low power consumption. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0030] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0031] Example

[0032] like Figure 1 As shown in the figure, this embodiment proposes an adaptive reconfiguration decision method for multi-mode telemetry and control nodes optimized for low power consumption, including the following steps:

[0033] The first step is to establish a table of hardware resources required when loading different measurement and control systems on the terminal side, as shown in Table 1.

[0034] Table 1. Hardware resources required when loading different measurement and control systems on the terminal side:

[0035] Measurement and control system System 1 System 2 System 3 System 4 System 5 System 6 System 7 System 8 Digital TR √ √ √ √ √ √ x x FPGA 1-2 pieces 3 pieces 1 piece 1-2 pieces 1 piece 2 pieces x x CPU × × × √ × √ × × Beidou chips × × × × × × √ × TianTong Chip × × × × × × × √

[0036] In this context, "√" indicates that it is required, and "×" indicates that it is not required.

[0037] The second step is to establish a power consumption table for different measurement and control systems loaded on the terminal side, as shown in Table 2.

[0038] Table 2. Power consumption of different measurement and control systems loaded on the terminal side:

[0039]

[0040] The third step is to establish a table showing the changes in the number of radio frequency channels under different switching strategies, as shown in Table 3.

[0041] Table 3 shows the changes in the number of RF channels under different switching strategies:

[0042]

[0043] "0" indicates that the switching strategy will not cause a change in the number of radio channels, while "1" indicates that the switching strategy will introduce a change in the number of radio channels.

[0044] The fourth step is to filter out all links whose required hardware resources are less than the available hardware resources based on the current available hardware resources, thus forming the current set of deployable links.

[0045] The fifth step is to calculate the power consumption value of each optional link in the current deployable link set based on the power consumption table, and this value is converted into a score and recorded as A in the scoring system;

[0046] The sixth step is to calculate whether each optional link in the current deployable link set needs to be adjusted based on the table of changes in the number of radio frequency channels and the current link status of the terminal. This value is converted into a score and recorded as B.

[0047] Step 7: Based on the hardware resource table and the current link status of the terminal, calculate whether the deployment of each optional link in the current deployable link set needs to be reconfigured. This conclusion is converted into a score of C in the scoring system.

[0048] Step 8: Based on the results of steps 5, 6, and 7, calculate the objective function value f for each deployable link: f = α1A + α2B + α3C, where α1, α2, and α3 are the corresponding parameter weights; select the link with the largest f, which is the optimal switching link in the final decision.

[0049] It should be noted that the above scoring system can be constructed according to actual needs. The scoring system only needs to include the three indicators of steps five, six and seven.

[0050] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A multi-mode measurement and control node adaptive reconfiguration decision method optimized for low power consumption, characterized in that, Includes the following steps: The first step is to establish a table of hardware resources required when loading different measurement and control systems on the terminal side; The second step is to establish a power consumption table for different measurement and control systems loaded on the terminal side; The third step is to create a table showing the changes in the number of radio frequency channels under different switching strategies; The fourth step is to filter out all links whose required hardware resources are less than the available hardware resources based on the current available hardware resources, thus forming the current set of deployable links. The fifth step is to calculate the power consumption value of each optional link in the current deployable link set based on the power consumption table; The sixth step is to calculate whether the radio frequency channels need to be adjusted for each optional link in the current deployable link set, based on the table of changes in the number of radio frequency channels and the current link status of the terminal. Step 7: Based on the hardware resource table and the current link status of the terminal, calculate whether resource reconfiguration is required for the deployment of each optional link in the current deployable link set; Step 8: Based on the results of steps 5, 6, and 7, calculate the objective function value for each deployable link. f ; Select f The longest link is the optimal switching link determined in the final decision; The results of steps five, six, and seven need to be converted to a scoring system; in step eight, the objective function value is calculated based on the converted values ​​of the results from steps five, six, and seven. f The objective function value f The calculation formula is: Where A is the value of the result from step 5 converted to the scoring system; B is the value of the result from step 6 converted to the scoring system; and C is the value of the result from step 7 converted to the scoring system. These are the parameter weights for each item.

2. The adaptive reconfiguration decision method for multi-mode measurement and control nodes optimized for low power consumption as described in claim 1, characterized in that, The hardware resource table required when loading different measurement and control systems on the terminal side is as follows: In this text, "√" indicates that it is required, and "×" indicates that it is not required.

3. The adaptive reconfiguration decision method for multi-mode measurement and control nodes optimized for low power consumption as described in claim 1, characterized in that, The power consumption table for different measurement and control systems loaded on the terminal side is as follows: 。 4. The adaptive reconfiguration decision method for multi-mode measurement and control nodes optimized for low power consumption as described in claim 1, characterized in that, The table below shows the changes in the number of radio frequency channels under different switching strategies: Where "0" indicates that the switching strategy will not cause a change in the number of radio channels, and "1" indicates that the switching strategy will introduce a change in the number of radio channels.

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