CN115599125A - Navigation aid light control strategy selection method based on edge calculation - Google Patents
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Abstract
The invention belongs to the technical field of navigation aid light control, and particularly provides a navigation aid light control strategy selection method based on edge calculation, which is used for meeting the navigation aid light control requirement during safe operation of an airport. The invention fully utilizes the computing power of the edge side computing equipment, adopts three environment parameter quantitative values of runway direction, operation period and visibility to form an operation scene grade, sets an environment parameter evaluation matrix for the light-operated terminal equipment based on the operation scene grade, and sets a control strategy grade evaluation matrix based on a prior light control strategy; and then, a comprehensive environment quantization set of the light-operated terminal equipment is obtained through calculation according to the environment parameter evaluation matrix, a control strategy grade quantization set of the light-operated terminal equipment is obtained through calculation based on the comprehensive environment quantization set and the control strategy grade evaluation matrix, and finally, navigation-aid light control strategy selection is realized based on the control strategy grade quantization set. The invention can realize the maximum optimization of light control efficiency and save the computing resources.
Description
Technical Field
The invention belongs to the technical field of navigation aid lighting control, relates to an edge computing system, and particularly provides a navigation aid lighting control strategy selection method based on edge computing under the Internet of things.
Background
The navigation aid light is a light sign arranged at a specified section of an airport scene, is used as an important infrastructure for ensuring safe and efficient operation of an aircraft on the airport scene, and provides visual guidance for takeoff, landing and sliding of the aircraft at night or under the condition of low visibility. When an airport normally operates, different areas and different types of navigation aid lighting equipment need to operate corresponding specified setting combinations such as directions, light levels, stroboflash and the like at different time intervals and under different visibility and other environmental constraints. With the rapid development of civil aviation industry in China, the types and the number of navigation aid lighting equipment are rapidly increased by newly building, reconstructing and expanding large and medium airports, the calculated data volume, the complexity and the processing time delay of a system are improved, and the traditional navigation aid lighting control strategy processing method is provided with a small challenge.
In order to meet various application scenes with low time delay and high reliability requirements such as industrial control, unmanned driving, virtual reality and the like, a system framework based on edge computing appears, and edge computing equipment is introduced into a cloud computing server and a terminal equipment network layer; compared with cloud computing, edge computing brings nearby data processing capability, reduces network data transmission quantity, system processing time delay and computing complexity, and also improves data processing reliability, which is called the last kilometer of artificial intelligence. Based on the above, the invention introduces a system framework of edge calculation and provides a navigation light control strategy selection method based on edge calculation so as to solve the application problem in practical engineering.
Disclosure of Invention
The invention aims to provide a navigation light control strategy selection method based on edge calculation, which is used for solving the problems of complex central system setting and adjustment, large data calculation amount, high processing time delay, unquantized manual experience, potential safety hazard caused by human errors and the like in the traditional navigation light control strategy processing method. According to the invention, the edge computing system is adopted, airport environment parameters faced by the light-operated terminal equipment of the navigational lights are quantized by the edge computing equipment according to various navigational light requirements when an airport runs safely, and navigational light control strategies are selected according to quantized objective standards, so that the maximum optimization of light control efficiency based on the edge computing system is realized.
In order to achieve the purpose, the invention adopts the technical scheme that:
a navigation light control strategy selection method based on edge calculation is characterized in that the navigation light control strategy selection method is realized based on an edge calculation system and specifically comprises the following steps:
step 1, for the secondiThe edge side computing equipment sets an environment parameter evaluation matrix of the light-operated terminal equipment according to the operation scene gradeA i ，i=1,2,...,k，kThe number of the light-operated terminal equipment;
step 2, the edge side computing equipment evaluates the matrix according to the environmental parametersA i Is calculated to obtainiComprehensive environment quantization set of individual light-operated terminal equipmentW i ；
Step 3, the edge side computing equipment sets a control strategy grade evaluation matrix according to the prior light control strategyB；
Step 4, the edge side computing equipment quantizes the set according to the comprehensive environmentW i And control strategy grade evaluation matrixBIs calculated to obtain the firstiControl strategy grade quantization set of individual light-operated terminal equipmentZ i ；
Step 5, the edge side computing equipment quantizes the set according to the control strategy levelZ i Is as followsiAnd the light control terminal equipment provides a light control strategy and sends the light control strategy to the light control terminal equipment.
Further, in step 1, the environment parameter evaluation matrixA i The method specifically comprises the following steps:
wherein,
is shown asiApplication of individual light-operated terminal equipmentvAt the level of the operating scenetA quantized value of an environmental parameter of the dimension;v=1,2,...,s，snumber of operational scene levels;tand =1,2 and 3, which respectively correspond to the direction of the runway, the running time period and the visibility.
Further, in step 2, the integrated environment quantization setW i The method comprises the following specific steps:
wherein,
is shown asiApplication of individual light-operated terminal equipmentvThe comprehensive environment quantization value of each operation scene grade specifically comprises the following steps:
wherein,
is shown asiApplication of individual light-operated terminal equipmentvAt the level of the operating scenetA quantized value of an environmental parameter of the dimension;v=1,2,...,s，snumber of operational scene levels;tand =1,2 and 3 respectively correspond to the direction of the runway, the running time period and the visibility.
Further, in step 3, the control strategy grade evaluation matrixBThe method specifically comprises the following steps:
wherein,
is shown asvUnder the level of each operation scene, the first step is adoptedjThe grade evaluation value of each light control strategy,j=1,2,...,p，pthe number of prior light control strategies.
Further, in step 4, the control strategy level quantization setZ i The method specifically comprises the following steps:
wherein,
is shown asiThe light-operated terminal equipment adoptsjThe level quantization value of the individual light control strategy,j=1,2,...,p，pthe number of prior light control strategies.
Further, in step 5, wheniWhen the light-operated terminal equipment needs a single light control strategy for control, the edge side computing equipment performs the level quantization set of the control strategyZ i And selecting the light control strategy corresponding to the maximum value and issuing the light control strategy to the light control terminal equipment.
Further, in step 5, wheniWhen the light-operated terminal equipment needs two or more light control strategies to carry out combined control, a hierarchical analysis method or a machine learning algorithm is adopted to select the light control strategies to realize the combined control. Furthermore, the specific process of selecting the light control strategy by adopting the machine learning algorithm comprises the following steps: selecting light control strategy by BP neural network, and quantizing control strategy gradeZ i And inputting the light control strategy into a BP neural network, outputting two or more light control strategies by the BP neural network and issuing the light control strategies to the light control terminal equipment to realize combined control.
Based on the technical scheme, the invention has the beneficial effects that:
the invention provides a navigation light control strategy selection method based on edge calculation, which fully utilizes the calculation capability of edge side calculation equipment, adopts three environment parameter quantized values of runway direction, operation time period and visibility to form an operation scene grade, sets an environment parameter evaluation matrix for light control terminal equipment based on the operation scene grade, and sets a control strategy grade evaluation matrix based on a prior light control strategy; and then calculating according to the environment parameter evaluation matrix to obtain a comprehensive environment quantization set of the light-operated terminal equipment, further calculating based on the comprehensive environment quantization set and the control strategy grade evaluation matrix to obtain a control strategy grade quantization set of the light-operated terminal equipment, and finally realizing navigation-assisted light control strategy selection based on the control strategy grade quantization set. The invention selects the light control strategy of the edge side light control terminal equipment through the quantified objective standard, and realizes the maximum optimization of the light control efficiency based on the edge computing system; and the edge side computing equipment is used for carrying out comprehensive evaluation on the light control strategy grade based on the multi-dimensional environmental parameters, so that the computing resources are saved most on the premise of meeting the requirements of accurate and efficient light control.
Drawings
Fig. 1 is a schematic structural diagram of an edge computing system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating a method for selecting a navigation light control strategy based on edge calculation according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating a method for selecting a navigational lighting control strategy based on edge calculation according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a BP neural network in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail with reference to the accompanying drawings and examples.
The embodiment provides a method for selecting a navigation light control strategy based on edge calculation, which relates to an edge calculation system shown in fig. 1, and the system comprises: the device comprises a cloud computing server, edge side computing equipment and light control terminal equipment, wherein the light control terminal equipment comprises an access light control terminal, a running light control terminal and a sliding light control terminal, and the edge side computing equipment is in wireless connection or wired connection with the light control terminal equipment.
In the embodiment, an operation scene grade is formed by three environment parameter quantitative values of a runway direction, an operation period and visibility, as shown in fig. 2; setting an environment parameter evaluation matrix for each light-operated terminal device based on the operation scene grade, and setting a control strategy grade evaluation matrix based on a prior light control strategy; and the edge side computing equipment calculates to obtain a comprehensive environment quantization set of the light-operated terminal equipment according to the environment parameter evaluation matrix, calculates to obtain a control strategy grade quantization set of the light-operated terminal equipment based on the comprehensive environment quantization set and the control strategy grade evaluation matrix, and finally realizes navigation-aid light control strategy selection based on the control strategy grade quantization set.
Specifically, as shown in fig. 3, the method for selecting a navigation light control strategy based on edge calculation in this embodiment includes the following steps:
step 1, for the secondiThe edge side computing equipment sets an environment parameter evaluation matrix of the light-operated terminal equipment according to the operation scene gradeA i ，i=1,2,...,k，kThe number of the light-operated terminal equipment;
the environment parameter evaluation matrixA i The method specifically comprises the following steps:
wherein,
denotes the firstiApplication of individual light-operated terminal equipmentvAt the level of the operating scenetA quantized value of an environmental parameter of the dimension;v=1,2,...,s，snumber of operational scene levels;t=1,2,3, corresponding to runway direction, running time period, visibility respectively;
the environment parameter evaluation matrix is an empirical quantization matrix, wherein each environment parameter quantization value can be determined by methods such as empirical quantization, user setting and the like by combining scene probability, equipment type, scene action weight and the like, the environment parameter evaluation matrices of the same type of light-operated terminal equipment under the same operation scene level are the same, and the exemplary environment parameter quantization values provided by the embodiment are shown in table 1;
TABLE 1
Step 2, the edge side computing equipment evaluates the matrix according to the environmental parametersA i Is calculated to obtainiComprehensive environment quantization set of individual light-operated terminal equipmentW i ；
The integrated environment quantization setW i The method specifically comprises the following steps:
wherein,
is shown asiApplication of individual light-operated terminal equipmentvThe comprehensive environment quantization value of each operation scene grade specifically comprises the following steps:
step 3, the edge side computing equipment sets a control strategy grade evaluation matrix according to the prior light control strategyB；
The control strategy grade evaluation matrixBThe method specifically comprises the following steps:
wherein,
denotes the firstvRun one by oneUnder scene level adoptjThe grade evaluation value of each light control strategy,j=1,2,...,p，pthe number of prior light control strategies;
the control strategy grade evaluation matrixBIn order to empirically quantify the matrix(s),
comprehensively determining by methods of experience quantification, user setting and the like in combination with factors such as strategy energy efficiency, complexity and the like; and, control strategy grade evaluation matrixBThe method is suitable for all light-operated terminal equipment;
step 4, the edge side computing equipment quantizes the set according to the comprehensive environmentW i And control strategy grade evaluation matrixBIs calculated to obtain the firstiControl strategy grade quantization set of individual light-operated terminal equipmentZ i ；
The control strategy level quantization setZ i The method specifically comprises the following steps:
wherein,
is shown asiThe individual light-operated terminal equipment adoptsjThe grade quantization value of each light control strategy;
step 5, the edge side computing equipment quantizes the set according to the control strategy gradeZ i Is as followsiThe light control terminal equipment provides a light control strategy and issues the light control strategy to the light control terminal equipment;
when it comes toiWhen the light-operated terminal equipment needs a single light control strategy for control, the edge side computing equipment carries out level quantization set on the control strategyZ i The light control strategy corresponding to the maximum value is selected and issued to the light control terminal equipment;
when it comes toiWhen the individual light-operated terminal equipment needs two or more light control strategies to carry out combined control, the embodiment adopts the BP neural network to carry out the light controlLight control strategy selection, quantizing the control strategy hierarchy into setsZ i The light control strategy is input into a BP neural network, two or more than two light control strategies are output by the BP neural network, and are issued to the light control terminal equipment for combined control; as shown in fig. 4, the BP neural network includes:N1 input layer of node,N2 hidden layers of nodes,NAn output layer of 3 nodes, which transmits the calculated loss back to the network; the BP neural network is trained offline, a priori navigation light control strategy historical data set is adopted in a training set, a control strategy grade quantization set of the light control terminal equipment is used as input of a training sample, and light control strategy historical data of the light control terminal equipment is used as a label.
While the invention has been described with reference to specific embodiments, any feature disclosed in this specification may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise; all of the disclosed features, or all of the method or process steps, may be combined in any combination, except mutually exclusive features and/or steps.
Claims (8)
1. A navigation light control strategy selection method based on edge calculation is characterized in that the navigation light control strategy selection method is realized based on an edge calculation system and specifically comprises the following steps:
step 1, for the secondiThe edge side computing equipment sets an environment parameter evaluation matrix of the light-operated terminal equipment according to the operation scene gradeA i ，i=1,2,...,k，kThe number of the light-operated terminal equipment;
step 2, the edge side computing equipment evaluates the matrix according to the environmental parametersA i Is calculated to obtain the firstiComprehensive environment quantization set of individual light-operated terminal equipmentW i ；
Step 3, the edge side computing equipment sets a control strategy grade evaluation matrix according to the prior light control strategyB；
Step 4, quantizing the edge side computing equipment according to the comprehensive environmentCollectionW i And control strategy grade evaluation matrixBIs calculated to obtainiControl strategy grade quantization set of individual light-operated terminal equipmentZ i ；
Step 5, the edge side computing equipment quantizes the set according to the control strategy gradeZ i Is as followsiAnd the light control terminal equipment provides a light control strategy and sends the light control strategy to the light control terminal equipment.
2. The method for selecting an edge-based navigational lighting control strategy according to claim 1, wherein in step 1, the environment parameter evaluation matrixA i The method specifically comprises the following steps:
wherein,
denotes the firstiApplication of individual light-operated terminal equipmentvAt the level of the operating scenetA quantized value of an environmental parameter of the dimension;v=1,2,...,s，snumber of operational scene levels;tand =1,2 and 3 respectively correspond to the direction of the runway, the running time period and the visibility.
3. The method for selecting an edge-based navigational lighting control strategy according to claim 1, wherein in step 2, the integrated environment quantization setW i The method specifically comprises the following steps:
wherein,
is shown asiApplication of individual light-operated terminal equipmentvIndividual operational scene gradeThe comprehensive environment quantization value of (1) is specifically:
wherein,
is shown asiApplication of individual light-operated terminal equipmentvAt the level of the operating scenetA quantized value of an environmental parameter of the dimension;v=1,2,...,s，snumber of operational scene levels;tand =1,2 and 3 respectively correspond to the direction of the runway, the running time period and the visibility.
4. The method for selecting an edge-based navigational lighting control strategy according to claim 1, wherein in step 3, the control strategy grade evaluation matrixBThe method comprises the following specific steps:
wherein,
is shown asvUnder the level of each operation scene, the first step is adoptedjThe grade evaluation value of each light control strategy,j=1,2,...,p，pthe number of prior light control strategies.
5. The method for selecting an edge-based navigational lighting control strategy according to claim 1, wherein in step 4, the quantized set of control strategy levels isZ i The method specifically comprises the following steps:
wherein,
is shown asiThe individual light-operated terminal equipment adoptsjThe level quantization value of the individual light control strategy,j=1,2,...,p，pthe number of prior light control strategies.
6. The method for selecting an edge-based navigational lighting control strategy according to claim 1, wherein in step 5, when the first step is performediWhen the light-operated terminal equipment needs a single light control strategy for control, the edge side computing equipment performs the level quantization set of the control strategyZ i And the light control strategy corresponding to the maximum value is selected and issued to the light control terminal equipment.
7. The method for selecting an edge-based navigational lighting control strategy according to claim 1, wherein step 5 is performed when the first step is performediWhen the light-operated terminal equipment needs two or more light control strategies to carry out combined control, a hierarchical analysis method or a machine learning algorithm is adopted to select the light control strategies to realize the combined control.
8. The method for selecting the aid-to-navigation light control strategy based on the edge calculation according to claim 7, wherein the specific process of selecting the light control strategy by using the machine learning algorithm is as follows: selecting light control strategy by BP neural network, and quantizing control strategy gradeZ i And inputting the light control strategy into a BP neural network, outputting two or more light control strategies by the BP neural network and issuing the light control strategies to the light control terminal equipment to realize combined control.
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| CN116867144A (en) * | 2023-09-04 | 2023-10-10 | 电子科技大学 | Navigation aid lamp brightness control method based on neural network |
| CN116867144B (en) * | 2023-09-04 | 2024-01-26 | 电子科技大学 | Navigation aid lamp brightness control method based on neural network |
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