CN113780592B - Smart city air data link management system, method and computer program product - Google Patents
Smart city air data link management system, method and computer program product Download PDFInfo
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Abstract
The invention discloses a smart city aerial data link management system, a method and a computer program product, relating to the technical field of smart cities, wherein the system comprises a ground city operating system end and an aerial inquiry end; the ground city operation system terminal is used as a new node to be added into the data chain to be tested, a real-time routing table of the data chain to be tested is obtained, and the health degree of the data chain to be tested is obtained and displayed under the real-time routing table by adopting a self-adaptive neural fuzzy reasoning model; and the air inquiry end is used for acquiring and displaying the health degree from the ground city operating system end. The invention carries out artificial intelligence judgment on the health degree of the data chain to be detected according to the real-time routing table, meets the routing inspection requirement on the health degree of the data chain, can give out maintenance and repair suggestions in time according to the measured health degree, and knows the communication quality of the data chain in real time, thereby ensuring the normal communication of the data chain and improving the reliability of the system.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a smart city air data link management system, a smart city air data link management method and a computer program product.
Background
The smart city utilizes various information technologies or innovative concepts to communicate and integrate the system and service of the city, so as to improve the efficiency of resource application, optimize city management and service, and improve the quality of life of citizens.
However, with the increasing application of air aircrafts such as unmanned planes, satellites, civil airliners, military airplanes and the like, air resources are increasingly occupied, and the problems of air resource shortage, air environment congestion and the like are more and more obvious. Therefore, management of the data links used for communication between these airborne aircraft is important in order to optimize city management and service.
Currently, the air data link takes radio communication as a main channel, and the form of the air data link can be a one-to-one data link or a one-to-many data link, and the air data link mainly has the following characteristics: the data transmission quantity is large, and the transmission of a large amount of data can be completed in a short time; the data transmission safety is high, a data chain forms a closed communication link, and transmitted encrypted information is difficult to crack in a short time; real-time data transmission, high communication intensity and strong stability; the communication system runs fully automatically, and the data format is unified, thereby laying a solid foundation for the development of subsequent data analysis work.
However, as an important direction of the air data link development in the current stage, and in the continuous development process, more and more data link types begin to emerge, there is a need for an air data link management system for smart cities to maintain the health of the patrol data link so as to ensure the communication performance.
Disclosure of Invention
Therefore, the embodiment of the invention provides a smart city air data chain management system, a smart city air data chain management method and a computer program product, which are used for realizing health degree inspection of the smart city air data chain.
Therefore, the smart city aerial data chain management system comprises a ground city operating system end and an aerial inquiry end;
the ground city operation system terminal is used as a new node to be added into the data chain to be tested, a real-time routing table of the data chain to be tested is obtained, and the health degree of the data chain to be tested is obtained and displayed under the real-time routing table by adopting a self-adaptive neural fuzzy reasoning model;
and the air inquiry end is used for acquiring and displaying the health degree from the ground city operating system end.
Preferably, the ground city operation system terminal includes:
the network access request unit is used for sending encrypted or unencrypted new node network access request information to any node in the coverage range of the ground city operating system end in the data chain to be tested;
the real-time routing table obtaining unit is used for obtaining a real-time routing table which is used as a node in a data chain to be tested after the ground city operation system terminal successfully accesses the network;
a current network parameter obtaining unit, configured to send a test signal to each other node in the data chain to be tested according to the real-time routing table, and receive a return signal output by each other node in response to the test signal, so as to obtain current network parameters between each other node and a ground city operating system end;
and the health degree calculation unit is used for taking the current network parameters as the input of the self-adaptive neural fuzzy inference model, and obtaining the health degree of the data chain to be detected after the self-adaptive neural fuzzy inference model calculates.
Preferably, the ground city operating system end can randomly compete for the idle time slot to complete dynamic network access.
Preferably, the network parameters include response time, packet loss number and communication error.
Preferably, the ground city operation system terminal further includes:
and the first display unit is used for displaying the health degree of the data chain to be tested.
Preferably, the ground city operation system terminal further includes:
the message encryption and decryption unit is used for encrypting the message before sending the message; and decrypting the message after receiving the message.
Preferably, the over-the-air query end comprises:
and the second display unit is used for displaying the health degree of the data chain to be tested.
The invention provides a smart city air data link management method, which is applied to a ground city operation system end and comprises the following steps:
s1, sending an encrypted or unencrypted new node network access request message to any node in the coverage range of the ground city operating system end in the data chain to be tested;
s2, after the ground city operation system end successfully accesses the network, obtaining a real-time routing table of the ground city operation system end as a node in the data chain to be tested;
s3, respectively sending test signals to other nodes in the data chain to be tested according to the real-time routing table, and receiving return signals output by the other nodes in response to the test signals so as to respectively obtain current network parameters between the other nodes and the ground city operating system end;
and S4, taking the current network parameters as the input of the self-adaptive neural fuzzy inference model, and obtaining the health degree of the data chain to be detected after the calculation of the self-adaptive neural fuzzy inference model.
Preferably, the method further comprises the following steps:
s5, displaying the health degree, and sending the health degree to an air inquiry terminal for displaying.
A computer program product of an embodiment of the invention, comprising a computer program stored on a computer-readable storage medium and adapted to be executed on a computer, characterized in that said computer program comprises instructions adapted to perform the steps of the above-mentioned smart city air data link management method when it is run on said computer.
The smart city air data link management system, the smart city air data link management method and the computer program product have the following advantages:
the ground city operation system end carries out artificial intelligence judgment on the health degree of the data chain to be detected according to the real-time routing table, meets the requirement of routing inspection on the health degree of the data chain, can give a maintenance and repair suggestion in time according to the measured health degree, and can know the communication quality of the data chain in real time by matching with the aerial query end, so that the normal communication of the data chain is guaranteed, and the system reliability is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a specific example of an intelligent city air data chain management system in embodiment 1 of the present invention;
fig. 2 is a flowchart of a specific example of an intelligent city air data chain management method in embodiment 2 of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. 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 invention.
In describing the present invention, it is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, are intended to specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. The term "and/or" includes any and all combinations of one or more of the associated listed items. The terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Furthermore, certain drawings in this specification are flow charts illustrating methods. It will be understood that each block of the flowchart illustrations, and combinations of blocks in the flowchart illustrations, can be implemented by computer program instructions. These computer program instructions may be loaded onto a computer or other programmable apparatus to produce a machine, such that the instructions which execute on the computer or other programmable apparatus create means for implementing the functions specified in the flowchart block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart block or blocks. The computer program instructions may also be loaded onto a computer or other programmable apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks.
Accordingly, blocks of the flowchart illustrations support combinations of means for performing the specified functions and combinations of steps for performing the specified functions. It will also be understood that each block of the flowchart illustrations, and combinations of blocks in the flowchart illustrations, can be implemented by special purpose hardware-based computer systems which perform the specified functions or steps, or combinations of special purpose hardware and computer instructions.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment provides an air data chain management system for a smart city, as shown in fig. 1, a data chain is provided with nodes such as a satellite, a civil aircraft, a military aircraft, an unmanned aerial vehicle and the like, and the system comprises a ground city operating system end and an air query end;
the system comprises a ground city operation system end, a plurality of ground routing control centers and a plurality of data link management centers, wherein the ground city operation system end can be arranged in each ground routing control center for a city manager to carry out routing control operation, is used as a new node to be added into a data link to be tested, obtains a real-time routing table of the data link to be tested, and obtains and displays the health degree of the data link to be tested under the real-time routing table by adopting a self-adaptive neural fuzzy inference model; giving a maintenance and repair suggestion according to the health degree, and ensuring normal communication of the data chain to be tested; the data chain to be tested can be a one-to-one data link or a one-to-many data link or a relay data link with a plurality of cluster head nodes, and one system frame in the data chain to be tested comprises: 1 control time slot, a plurality of service time slots, a plurality of relay time slots and at least 1 idle time slot, or also comprises a plurality of inter-cluster interaction time slots. And (3) controlling time slot: the method is used for transmitting control information such as a time slot allocation table, an adjacent node table and the like and adopts a fixed allocation mode; service time slot: the method is used for transmitting service data, a dynamic allocation mode is adopted, and the number of service time slots is dynamically allocated according to the network capacity; and (4) relay time slot: the method is used for transmitting the service data to be relayed, a dynamic allocation mode is adopted, and the number of relay time slots is dynamically allocated according to the actual network topology state; idle time slot: at least used for transmitting the network access request message of the new node; inter-cluster interaction time slot: and the method is used for transmitting information among the cluster head nodes and adopts a dynamic allocation mode.
And the aerial query end can be arranged at each node of the data chain to be tested and is used for acquiring and displaying the health degree from the ground city operating system end.
According to the intelligent city aerial data chain management system, the ground city operating system end carries out artificial intelligence judgment on the health degree of the data chain to be detected according to the real-time routing table, the routing inspection requirement on the health degree of the data chain is met, maintenance and repair suggestions can be given in time according to the measured health degree, the communication quality of the data chain can be known in real time by matching with the aerial query end, normal communication of the data chain is guaranteed, and the system reliability is improved.
Preferably, the ground city operation system terminal comprises:
the network access request unit is used for sending encrypted or unencrypted new node network access request information to any node in the coverage range of the ground city operating system end in the data chain to be tested; the network access nodes can randomly compete for the idle time slot to complete dynamic network access;
the real-time routing table obtaining unit is used for obtaining a real-time routing table which is used as a node in a data chain to be tested after the ground city operation system terminal successfully accesses the network;
a current network parameter obtaining unit, configured to send a test signal to each other node in the data chain to be tested according to the real-time routing table, and receive a return signal output by each other node in response to the test signal, so as to obtain current network parameters between each other node and a ground city operating system end; the network parameters include but are not limited to response time, packet loss number and communication errors;
the health degree calculation unit is used for taking the current network parameters as the input of the self-adaptive neural fuzzy inference model, and obtaining the health degree of the data chain to be detected after the calculation of the self-adaptive neural fuzzy inference model;
the process of training to obtain the self-adaptive neural fuzzy inference model comprises the following steps:
constructing a training set by adopting M groups of network parameters and corresponding health degree grades, wherein each group of network parameters comprises N elements xiI is 1,2, …, N, such as response time length, packet loss number, communication error, and the like;
constructing a first layer for obfuscating the element:
wherein x isiAs an element of the input, a function,
is xiCorresponding two fuzzy sets, output
For the corresponding membership function, the membership function is preferably:
wherein, aj、bj、cjAs a precondition parameter;
constructing a second layer for multiplying the first layer outputs:
output the output
Is the confidence level;
constructing a third layer for normalizing the second layer output:
output the output
Is normalized confidence level;
constructing a fourth layer for exporting the third layer out of the fuzzification:
wherein p istT is 1,2, …, N +1 is a conclusion parameter; output of
Is the defuzzified value;
constructing a fifth layer for summing the fourth layer outputs:
output O5；
Setting initial values of the preconditions based on
Estimating by adopting a least square method to obtain the optimal estimation of conclusion parameters when the mean square error is minimum;
and calculating an error according to the optimal estimation of the conclusion parameters, reversely transmitting the error from an output end to an input end by adopting a BP algorithm in a feedforward neural network, updating the precondition parameters by using a gradient descent method, updating the shape of the membership function so as to achieve the aim of minimizing an output error value in a set circulation process, and finally obtaining a self-adaptive neural fuzzy inference model. By constructing a composite with N elements xiAnd N is taken as an input, namely 1,2, …, and the adaptive neural fuzzy inference model meets the requirement on multi-input network parameter evaluation and expands the application range.
Preferably, the ground city operation system further comprises:
the first display unit is used for displaying the health degree of the data chain to be detected; preferably, the health monitoring system is further used for judging whether the health degree exceeds a preset value or not, and when the health degree exceeds the preset value, alarm prompt information is generated and output to prompt the fault of the data chain so as to take maintenance measures in time.
Preferably, the ground city operation system further comprises:
the message encryption and decryption unit is used for encrypting the message before sending the message; and after receiving the message, decrypt the message, have improved the security of the data transmission.
The process of encrypting the message is as follows:
acquiring the current node number of a data chain to be tested as a first secret key M after a ground city operation system terminal successfully accesses the network1；
Randomly generating a random number as the second key M2；
According to a first key M1And a second key M2Calculating to obtain encryption key M3(ii) a Preferably, the calculation formula is:
data to be encrypted is mixed with an encryption key M3And multiplying to obtain encrypted data.
The encryption key is generated by combining the actual node number of the data chain to be detected with the random number, so that the encryption key is different due to different data chains to be detected, the real-time property and the randomness of encryption key change are improved, and the corresponding encryption key can be changed along with the change of the node number of the data chain to be detected, so that the anti-jamming capability of data transmission is improved.
Preferably, the over-the-air query end comprises:
the second display unit is used for displaying the health degree of the data chain to be tested; preferably, the system is further configured to judge whether the health degree exceeds a preset value, and when the health degree exceeds the preset value, generate and output alarm prompt information to assist the ground city operating system side in prompting the fault of the data chain so as to take maintenance measures in time.
Example 2
The embodiment provides a smart city air data link management method, which is applied to a ground city operating system, as shown in fig. 2, and includes the following steps:
s1, sending an encrypted or unencrypted new node network access request message to any node in the coverage range of the ground city operating system end in the data chain to be tested;
s2, after the ground city operation system end successfully accesses the network, obtaining a real-time routing table which is used as a node in the data chain to be tested;
s3, respectively sending test signals to other nodes in the data chain to be tested according to the real-time routing table, and receiving return signals output by the other nodes in response to the test signals so as to respectively obtain current network parameters between the other nodes and the ground city operating system end;
and S4, taking the current network parameters as the input of the self-adaptive neural fuzzy inference model, and obtaining the health degree of the data chain to be detected after the calculation of the self-adaptive neural fuzzy inference model.
According to the smart city air data link management method, the health degree of the data link to be detected is judged in an artificial intelligence mode according to the real-time routing table, the routing inspection requirement on the health degree of the data link is met, and the maintenance and repair suggestions can be given in time according to the measured health degree, so that the normal communication of the data link is guaranteed, and the system reliability is improved.
Preferably, the air data link management method for the smart city further comprises the following steps:
and S5, displaying the health degree, and sending the health degree to an air inquiry terminal for displaying. Preferably, the health monitoring system is further used for judging whether the health degree exceeds a preset value or not, and when the health degree exceeds the preset value, alarm prompt information is generated and output to prompt the fault of the data chain so as to take maintenance measures in time.
Example 3
The present embodiment provides a computer program product comprising a computer program stored on a computer readable storage medium and adapted to be executed on a computer, characterized in that said computer program comprises instructions adapted to perform the steps of the smart city air data link management method of embodiment 2 when it is run on said computer.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (8)
1. A smart city aerial data link management system is characterized by comprising a ground city operating system end and an aerial inquiry end;
the ground city operation system terminal is used as a new node to be added into the data chain to be tested, a real-time routing table of the data chain to be tested is obtained, and the health degree of the data chain to be tested is obtained and displayed under the real-time routing table by adopting a self-adaptive neural fuzzy reasoning model;
the air inquiry end is used for acquiring and displaying the health degree from the ground city operating system end;
the ground city operating system terminal includes:
the network access request unit is used for sending encrypted or unencrypted new node network access request information to any node in the coverage range of the ground city operating system end in the data chain to be tested;
the real-time routing table obtaining unit is used for obtaining a real-time routing table which is used as a node in a data chain to be tested after the ground city operation system terminal successfully accesses the network;
a current network parameter obtaining unit, configured to send a test signal to each other node in the data chain to be tested according to the real-time routing table, and receive a return signal output by each other node in response to the test signal, so as to obtain current network parameters between each other node and a ground city operating system end;
and the health degree calculation unit is used for taking the current network parameters as the input of the self-adaptive neural fuzzy inference model, and obtaining the health degree of the data chain to be detected after the self-adaptive neural fuzzy inference model calculates.
2. The system of claim 1, wherein the ground operating system end can randomly compete for idle time slots to complete dynamic network access.
3. The system of claim 1, wherein the network parameters include response duration, number of packets lost, and communication error.
4. The system of claim 1, wherein the ground city operating system side further comprises:
and the first display unit is used for displaying the health degree of the data chain to be tested.
5. The system of claim 1, wherein the ground city operating system side further comprises:
the message encryption and decryption unit is used for encrypting the message before sending the message; and decrypting the message after receiving the message.
6. The system according to any one of claims 1-5, wherein the over-the-air query side comprises:
and the second display unit is used for displaying the health degree of the data chain to be tested.
7. A smart city air data link management method applied to the ground city operating system according to claim 1, comprising the following steps:
s1, sending an encrypted or unencrypted new node network access request message to any node in the coverage range of the ground city operating system end in the data chain to be tested;
s2, after the ground city operation system end successfully accesses the network, obtaining a real-time routing table which is used as a node in the data chain to be tested;
s3, respectively sending test signals to other nodes in the data chain to be tested according to the real-time routing table, and receiving return signals output by the other nodes in response to the test signals so as to respectively obtain current network parameters between the other nodes and the ground city operating system end;
and S4, taking the current network parameters as the input of the self-adaptive neural fuzzy inference model, and obtaining the health degree of the data chain to be detected after the calculation of the self-adaptive neural fuzzy inference model.
8. The method of claim 7, further comprising the steps of:
s5, displaying the health degree, and sending the health degree to an air inquiry terminal for displaying.
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| CN111404595A (en) * | 2020-03-20 | 2020-07-10 | 西安电子科技大学 | Method for evaluating health degree of space-based network communication satellite |
| CN112532705A (en) * | 2020-11-20 | 2021-03-19 | 季速漫 | Smart city service system based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104536435A (en) * | 2014-12-18 | 2015-04-22 | 中国科学院电工研究所 | Online diagnosis method for linear control system network |
| CN111404595A (en) * | 2020-03-20 | 2020-07-10 | 西安电子科技大学 | Method for evaluating health degree of space-based network communication satellite |
| CN112532705A (en) * | 2020-11-20 | 2021-03-19 | 季速漫 | Smart city service system based on big data |
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