CN111447000B - Unmanned aerial vehicle flight behavior analysis method and encryption system based on block chain technology - Google Patents
Unmanned aerial vehicle flight behavior analysis method and encryption system based on block chain technology Download PDFInfo
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- CN111447000B CN111447000B CN201910040849.4A CN201910040849A CN111447000B CN 111447000 B CN111447000 B CN 111447000B CN 201910040849 A CN201910040849 A CN 201910040849A CN 111447000 B CN111447000 B CN 111447000B
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Abstract
The invention discloses an unmanned aerial vehicle flight behavior analysis method and an encryption system based on a block chain technology in the technical field of unmanned aerial vehicle industry, which comprises the following steps: step one, building a block chain system environment, and building a public chain, a alliance chain and a private chain according to the actual requirements of the system; and step two, performing data intercommunication and front-end interface display on the block chain system and the corresponding unmanned aerial vehicle integrated management system through an API (application programming interface), wherein the method is mainly used for solving the abnormal phenomenon occurring in the individual flight behavior of the unmanned aerial vehicle and providing an auxiliary decision-making judgment result. Unmanned aerial vehicle is under the normal and communication circumstances that do not hinder of self module work, and unmanned aerial vehicle integrated management system can be real-time accurate manage and control unmanned aerial vehicle, but the inevitable condition is that unmanned aerial vehicle is because when the unstability of self equipment or external communication disturbed, the condition of unusual flight will appear.
Description
Technical Field
The invention relates to the technical field of unmanned aerial vehicle industry, in particular to an unmanned aerial vehicle flight behavior analysis method and an encryption system based on a block chain technology.
Background
Along with the wider application range of unmanned aerial vehicles in various industries, government and public security departments also pay more and more attention to the safety in the low-altitude field, and the basis for judging the flight behavior compliance, rationality and scientificity of the unmanned aerial vehicles is required to be used as data management support. The unmanned aerial vehicle flying behavior distinguishes two situations, one is manual operation flying, and the other is automatic flying based on satellite navigation information or inertia. Both of these flight behaviors have certain uncertainties, namely: the flight that unmanned aerial vehicle self trouble or external communication environment abnormal result in out of control, this type of flight out of control incident often is the leading cause that accident took place again, consequently, the scientific prediction to unmanned aerial vehicle flight behavior is very necessary, can reduce the unexpected potential safety hazard that brings of unmanned aerial vehicle flight to a certain extent. Currently, there is no relevant system or method specifically for unmanned aerial vehicle flight behavior analysis. The general method for monitoring the unmanned aerial vehicle is that each manufacturer or government administration department adopts an unmanned aerial vehicle comprehensive management platform to carry out positioning monitoring on the unmanned aerial vehicle, and platform warning is carried out on the faults of the unmanned aerial vehicle through an alarm system of the unmanned aerial vehicle.
The existing unmanned aerial vehicle comprehensive management platform has the advantages that on one hand, data sources are usually only from a few unmanned aerial vehicle manufacturers, and all unmanned aerial vehicle coverage cannot be achieved, on the other hand, platform data of the unmanned aerial vehicle comprehensive management platform highly depend on relevant data returned by an unmanned aerial vehicle module, such as longitude and latitude, height, speed, acceleration, flight attitude and the like. Therefore, a more independent and third-party data analysis platform is needed to be adopted to analyze and evaluate the flight behavior of the unmanned aerial vehicle, so that more reasonable decision-making auxiliary information is provided for a manager.
Based on the above, the invention designs the unmanned aerial vehicle flight behavior analysis method and the encryption system based on the block chain technology to solve the above problems.
Disclosure of Invention
The invention aims to provide an unmanned aerial vehicle flight behavior analysis method and an encryption system based on a block chain technology, so as to solve the problem that the existing unmanned aerial vehicle comprehensive management platform provided in the background technology has the advantages that on one hand, the data source is only from a few unmanned aerial vehicle manufacturers, and the unmanned aerial vehicle cannot cover all unmanned aerial vehicles, on the other hand, the platform data highly depends on the related data returned by the unmanned aerial vehicle self module, such as longitude and latitude, height, speed, acceleration, flight attitude and the like, and under the condition that returned data is accurate, the behavior of the unmanned aerial vehicle can be controlled, but the uncontrollable factor of the behavior of the unmanned aerial vehicle lies in the instability of the unmanned aerial vehicle self hardware module, and the returned data cannot be used as a scientific reference under the condition that equipment fails.
In order to achieve the purpose, the invention provides the following technical scheme: an unmanned aerial vehicle flight behavior analysis method based on a block chain technology comprises the following steps:
step one, building a block chain system environment, and building a public chain, a alliance chain and a private chain according to the actual requirements of the system;
step two, performing data intercommunication and front-end interface display on the block chain system and the corresponding unmanned aerial vehicle comprehensive management system through an API (application programming interface);
thirdly, the unmanned aerial vehicle comprehensive management system sends the flight data of the unmanned aerial vehicle to a block chain system in real time, and all the data are analyzed and stored in a corresponding intelligent contract form;
calculating special intelligent contracts of mining of all nodes in the block chain system, wherein the contracts mainly realize abnormal consensus judgment of flight behaviors of the unmanned aerial vehicle;
after a new block is generated, returning the new block to a front-end page of the unmanned aerial vehicle comprehensive management system in an API (application program interface) mode, and if the new block is judged to be abnormal by combining the logic of the unmanned aerial vehicle comprehensive management system, performing alarm processing;
and step six, the user can check all historical analysis data on the chain, and all generated data are stored as a block on the chain permanently.
Preferably, the minimum environment of the system environment of the step one is at least a private chain of four nodes.
Preferably, all nodes of the block chain system in the fourth step need to dig a mine for a special intelligent contract for twenty-four hours.
Preferably, if a node in the blockchain system succeeds in mining, it indicates that an unmanned flight abnormal behavior is found, and the abnormal behavior is recorded by all the blockchain nodes.
An encryption system for unmanned aerial vehicle flight behavior analysis based on a block chain technology comprises an application layer, an extension layer and a protocol layer;
the application layer comprises an app client facing a user, an unmanned aerial vehicle comprehensive management system and a third party extension;
the extension layer comprises extensions for flight behavior of the unmanned aerial vehicle, extensions for data queries, and extensions for other related applications;
the protocol layer comprises a network layer and a storage layer;
the network layer is used for establishing a related network;
the storage layer is used for establishing connection for the related blocks.
Preferably, the extension layer further comprises an intelligent contract for mining all nodes of the blockchain.
Compared with the prior art, the invention has the beneficial effects that: the method is mainly used for solving the abnormal phenomenon occurring in the individual flight behavior of the unmanned aerial vehicle and providing an auxiliary decision-making judgment result. Under the normal and communication of self module work of unmanned aerial vehicle did not have the circumstances that hinders, unmanned aerial vehicle integrated management system can be real-time accurate manage and control unmanned aerial vehicle, but the inevitable condition is that unmanned aerial vehicle is because when the unstability of self equipment or external communication disturbed, the condition of unusual flight will appear. The method provided by the invention is used for intelligently analyzing the flight behavior of the unmanned aerial vehicle based on the public block chain technology, is independent of an unmanned aerial vehicle comprehensive control system, and is characterized in that through a special consensus mechanism algorithm, calculation results jointly approved by nodes are used as credible results to be booked by a block chain, and the results are fed back to the unmanned aerial vehicle comprehensive control system.
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In order to more clearly illustrate the technical solutions of 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 only 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 an overall flow framework diagram of the present invention;
fig. 2 is an overall system framework diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1-2, the present invention provides a technical solution: an unmanned aerial vehicle flight behavior analysis method based on a block chain technology comprises the following steps:
step one, building a block chain system environment, and building a public chain, a alliance chain and a private chain according to the actual requirements of the system;
step two, performing data intercommunication and front-end interface display on the block chain system and the corresponding unmanned aerial vehicle comprehensive management system through an API (application programming interface);
thirdly, the unmanned aerial vehicle comprehensive management system sends the flight data of the unmanned aerial vehicle to a block chain system in real time, and all the data are analyzed and stored in a corresponding intelligent contract form;
calculating special intelligent contracts of mining of all nodes in the block chain system, wherein the contracts mainly realize abnormal consensus judgment of flight behaviors of the unmanned aerial vehicle;
after a new block is generated, returning the block to a front-end page of the unmanned aerial vehicle comprehensive management system in an API (application program interface) interface mode, and if the block is judged to be abnormal by combining the logic of the unmanned aerial vehicle comprehensive management system, performing alarm processing;
step six, the user can check all historical analysis data on the chain, and all generated data are stored as a block on the chain permanently.
In a further embodiment, the minimum environment of the system environment of step one is a private chain with at least four nodes.
In a further embodiment, all nodes of the blockchain system in step four need to mine a special intelligent contract for twenty-four hours.
In a further embodiment, a successful mine excavation at a node in the blockchain system indicates that an unmanned flight anomaly is found and that the anomaly is recorded at all blockchain nodes.
An encryption system for unmanned aerial vehicle flight behavior analysis based on a block chain technology comprises an application layer, an extension layer and a protocol layer;
the application layer comprises an app client facing a user, an unmanned aerial vehicle comprehensive management system and a third party extension;
the extension layer comprises extensions for flight behavior of the unmanned aerial vehicle, extensions for data queries, and extensions for other related applications;
the protocol layer comprises a network layer and a storage layer;
the network layer is used for establishing a related network;
the storage layer is used for establishing connection for the related blocks.
In a further embodiment, the extension layer further comprises an intelligent contract for mining all nodes of the blockchain.
It should be noted that the block chain system program module of the invention mainly comprises a P2P network protocol, a consensus algorithm, an encryption signature algorithm, an intelligent contract and the like, and interacts with a related unmanned aerial vehicle comprehensive management and control system through an API interface form. The P2P network protocol is the lowest module of the block chain and is responsible for network transmission and broadcasting of transaction data, node discovery and maintenance. The consensus algorithm is a set of computing mechanism followed by all nodes together, the whole block chain is maintained together through competitive computing, any node fails, and other nodes can still work normally. The invention discloses an unmanned aerial vehicle flight behavior analysis method, which is characterized in that a unique consensus algorithm is adopted to calculate the unmanned aerial vehicle flight behavior, the consensus algorithm is improved on the basis of a Byzantine fault-tolerant algorithm PBFT, dynamic flight data based on an unmanned aerial vehicle are intelligently calculated, most nodes are ensured to stop the algorithm after acquiring consensus, and thus a prejudgment conclusion whether the unmanned aerial vehicle is abnormal or not is made. The encryption signature algorithm is a necessary means for ensuring the safety of all data, and the system adopts a hash algorithm to carry out encryption signature. The Hash algorithm has the characteristics of collision resistance, irreversible original image, difficult problem friendliness and the like, and can ensure the safety of the secret key. The intelligent contract is a window platform for the functional interaction between the blockchain system and the application system, is a special protocol and aims to provide, verify and execute the contract. This system synthesizes management and control system through intelligent contract and unmanned aerial vehicle promptly and is connected.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. An unmanned aerial vehicle flight behavior analysis method based on a block chain technology is characterized in that: the method comprises the following steps:
step one, building a block chain system environment, and building a public chain, a alliance chain and a private chain according to the actual requirements of the system;
step two, performing data intercommunication and front-end interface display on the block chain system and the corresponding unmanned aerial vehicle comprehensive management system through an API (application programming interface);
thirdly, the unmanned aerial vehicle comprehensive management system sends the flight data of the unmanned aerial vehicle to a block chain system in real time, and all the data are analyzed and stored in a corresponding intelligent contract form;
calculating special intelligent contracts of mining of all nodes in the block chain system, wherein the contracts mainly realize abnormal consensus judgment of flight behaviors of the unmanned aerial vehicle;
after a new block is generated, returning the new block to a front-end page of the unmanned aerial vehicle comprehensive management system in an API (application program interface) mode, and if the new block is judged to be abnormal by combining the logic of the unmanned aerial vehicle comprehensive management system, performing alarm processing;
step six, the user can check all historical analysis data on the chain, and all generated data are stored as a block on the chain permanently.
2. The unmanned aerial vehicle flight behavior analysis method based on block chain technology as claimed in claim 1, wherein: the minimum environment of the system environment in the step one is at least a private chain of four nodes.
3. The method for analyzing flight behavior of unmanned aerial vehicle based on blockchain technology according to claim 1, wherein the method comprises the following steps: all nodes of the block chain system in step four need to mine twenty-four hours for special intelligent contracts.
4. The unmanned aerial vehicle flight behavior analysis method based on block chain technology as claimed in claim 3, wherein: if a node in the block chain system is successful in mining, it indicates that an unmanned flight abnormal behavior is found, and the abnormal behavior is recorded by all block chain nodes.
5. The utility model provides an unmanned aerial vehicle flight behavior analysis's encryption system based on block chain technique which characterized in that: the system comprises an application layer, an extension layer and a protocol layer;
the application layer comprises an app client facing a user, an unmanned aerial vehicle comprehensive management system and a third party extension;
the extension layer comprises extensions for flight behavior of the unmanned aerial vehicle, extensions for data queries, and extensions for other related applications;
the protocol layer comprises a network layer and a storage layer;
the network layer is used for establishing a related network;
the storage layer is used for establishing connection for the related blocks;
the extension layer further comprises an intelligent contract used for mining of all nodes of the block chain, and the contract mainly realizes abnormal consensus judgment of flight behaviors of the unmanned aerial vehicle.
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| CN114928392B (en) * | 2022-02-18 | 2023-10-20 | 国网浙江省电力有限公司湖州供电公司 | 5G-based unmanned aerial vehicle automatic inspection data real-time return method and system |
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| US10115068B2 (en) * | 2017-01-24 | 2018-10-30 | Accenture Global Solutions Limited | Secure product identification and verification |
| US10611474B2 (en) * | 2017-03-20 | 2020-04-07 | International Business Machines Corporation | Unmanned aerial vehicle data management |
| CN107360238A (en) * | 2017-07-25 | 2017-11-17 | 光载无限（北京）科技有限公司 | Intelligent contract gateway based on block chain CPOW common recognition algorithms |
| CN107547529A (en) * | 2017-08-21 | 2018-01-05 | 集合智造（北京）餐饮管理有限公司 | A kind of method, system that shared retail is realized based on block chain |
| CN108418622B (en) * | 2018-02-11 | 2021-04-06 | 西安电子科技大学昆山创新研究院 | Unmanned aerial vehicle group decision method based on block chain |
| CN108632381B (en) * | 2018-05-14 | 2020-09-29 | 浪潮集团有限公司 | Block chain-based environment supervision method and system |
| CN108764909A (en) * | 2018-06-01 | 2018-11-06 | 杭州复杂美科技有限公司 | A kind of block chain data monitoring and managing method |
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