CN112311900A - Navigation monitoring method and system based on data flow distributed processing - Google Patents
Navigation monitoring method and system based on data flow distributed processing Download PDFInfo
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- CN112311900A CN112311900A CN202011306789.5A CN202011306789A CN112311900A CN 112311900 A CN112311900 A CN 112311900A CN 202011306789 A CN202011306789 A CN 202011306789A CN 112311900 A CN112311900 A CN 112311900A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/14—Receivers specially adapted for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G3/00—Traffic control systems for marine craft
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/565—Conversion or adaptation of application format or content
Abstract
The invention discloses a navigation monitoring method and a system based on data flow distributed processing, wherein the method comprises the following steps: s1: scheduling and distributing services deployed on each server according to a preset strategy to form a monitoring task; s2: after the monitoring task is formed, receiving messages sent by each monitoring device, and converting the messages into monitoring data in a preset data format; s3: associating, tracking and managing the monitoring data of each monitoring device to obtain a monitoring object, and outputting a target track of the monitoring object; s4: and displaying the target track of the monitored object on the human-computer interaction interface by using a GIS engine, monitoring instruction operation on the human-computer interaction interface, and distributing the instruction operation to each server. By the mode, the efficiency close to that of big data processing can be realized, and the deployment difficulty and cost are reduced.
Description
Technical Field
The invention relates to the technical field of navigation monitoring, in particular to a navigation monitoring method and system based on data flow distributed processing.
Background
In recent years, with the rapid development of the navigation industry in plant protection, aerial photography, hot air balloons, sports flight, tourism and the like, there is an increasing demand for effective monitoring and management of navigation flight activities. The navigation activity is wide in involved range, various in types, unfixed in flight line, complex in generated monitoring data types and continuously increased in data scale. The original various monitoring processing means, tools and platforms, such as client software of a navigation service station, cannot well meet the increasing processing requirements of users. Meanwhile, the investment of navigation operation users on the construction of navigation guarantee conditions is relatively limited, and the deployment cost of methods and tools such as a current popular big data platform is relatively high, so that the burden on the users is relatively large.
Therefore, it is necessary to provide a navigation monitoring means with high processing efficiency, low deployment cost, and capability of expanding according to the user's requirements.
Disclosure of Invention
The invention aims to provide a navigation monitoring method and a navigation monitoring system based on data flow distributed processing, which can realize the efficiency close to that of large data processing and simultaneously reduce the deployment difficulty and cost.
In order to solve the technical problems, the invention adopts a technical scheme that: the navigation monitoring method based on data flow distributed processing is provided, and comprises the following steps:
s1: scheduling and distributing services deployed on each server according to a preset strategy to form a monitoring task;
s2: after the monitoring task is formed, receiving messages sent by each monitoring device, and converting the messages into monitoring data in a preset data format;
s3: associating, tracking and managing the monitoring data of each monitoring device to obtain a monitoring object, and outputting a target track of the monitoring object;
s4: and displaying the target track of the monitored object on a human-computer interaction interface by using a GIS engine, monitoring instruction operation on the human-computer interaction interface, and distributing the instruction operation to each server.
Preferably, the step S2 specifically includes: after the monitoring task is formed, receiving messages sent by each monitoring device, judging whether the messages accord with a preset protocol or not, analyzing the data types of the messages when the messages accord with the preset protocol, inquiring whether the same data templates exist in a data template base or not, and converting the messages into monitoring data in a preset data format when the same data templates exist.
Preferably, the step S2 further includes: and generating a log record when the data template does not accord with the preset protocol or the same data template does not exist.
Preferably, the data template is in an xml format.
Preferably, the predetermined data format is a JSON format.
In order to solve the technical problems, the invention adopts a technical scheme that: the navigation monitoring system based on data flow distributed processing comprises a task scheduling module, a protocol conversion module, a target processing module and a navigation monitoring module;
the task scheduling module is used for scheduling the services distributed and deployed on each server according to a preset strategy to form a monitoring task;
the protocol conversion module is used for receiving messages sent by each monitoring device after the monitoring task is formed and converting the messages into monitoring data in a preset data format;
the target processing module is used for associating, tracking and track managing the monitoring data of each monitoring device to obtain a monitoring object and outputting a target track of the monitoring object;
the navigation monitoring module is used for displaying a target track of a monitored object on the human-computer interaction interface by utilizing the GIS engine, monitoring instruction operation on the human-computer interaction interface and distributing the instruction operation to each server.
Preferably, the protocol conversion module is specifically configured to receive a message sent by each monitoring device, determine whether the message conforms to a preset protocol, analyze a data type of the message when the message conforms to the preset protocol, query whether the same data template exists in the data template library, and convert the message into monitoring data in a predetermined data format when the same data template exists.
Preferably, the protocol conversion module is further configured to generate a log record when the protocol conversion module does not conform to the preset protocol or the same data template does not exist.
Preferably, the data template is in an xml format.
Preferably, the predetermined data format is a JSON format.
Different from the prior art, the invention has the beneficial effects that:
1. the horizontal and vertical extension of the system can be realized, the performance of monitoring data processing is improved, and the expansibility of the system is enhanced;
2. navigation monitoring functions such as monitoring situation display, target data management, target warning, target study and judgment and the like are supported;
3. by using data conversion, different monitoring source data can be introduced according to actual needs;
4. the consistency of the internal transmission data of different monitoring data messages can be realized;
5. the task workflow graphical configuration is supported, and the service configuration process is simplified;
6. the interface is supported to inquire and display the running state log, the service state information is visually displayed, and the fault point can be quickly positioned;
7. the customized scheduling strategy is supported, and timing, delay, fixed frequency execution and the like are realized;
8. and the situation display function is supported, and the user can view the management monitoring information on the GIS map.
Drawings
Fig. 1 is a schematic flow chart of a navigation monitoring method based on data flow distributed processing according to an embodiment of the present invention.
Fig. 2 is a schematic block diagram of a navigation monitoring system based on data flow distributed processing according to an embodiment 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, the navigable monitoring system based on data stream distributed processing according to the embodiment of the present invention includes the following steps:
s1: and scheduling the services distributed and deployed on each server according to a preset strategy to form a monitoring task.
The preset policy specifies the execution time, the execution frequency, the performance requirement, and the like of the monitoring task. And automatically executing the task and feeding back information. When scheduling is carried out, a user can visually complete the functions of management (addition, deletion, modification and query), task running state monitoring, running log viewing and the like of monitoring tasks on a front-end Web interface, and arranges the monitoring tasks by configuring the dependency relationship of the monitoring tasks on line through a DAG (demand oriented graph).
S2: after the monitoring task is formed, the message sent by each monitoring device is received and converted into monitoring data in a preset data format.
In the embodiment, each monitoring device comprises a radar device, an ADS-B device, a photoelectric device, a communication direction-finding device, a remote control link device, a TDOA device and a cloud data device.
The message sent by the radar equipment comprises: heartbeat messages, state messages, radar target scatter messages, radar target messages, radar turntable control messages and target guide messages.
The message sent by the optoelectronic device includes: heartbeat messages, state messages, working mode and target messages, query control messages and target guide messages.
The message sent by the communication direction-finding equipment comprises: heartbeat messages, state messages, target messages, query messages and target guide messages.
The message sent by the remote control link equipment comprises: heartbeat messages, state messages, working mode and target messages, query control messages and target guide messages.
The message sent by the TDOA equipment comprises: heartbeat messages, status messages, target messages and query control messages.
The message sent by the cloud optimizing data device comprises target longitude and latitude, altitude, ground clearance, course, speed, azimuth angle, pitch angle, cloud optimizing registration number, device manufacturer and device serial number.
S3: and associating, tracking and managing the monitoring data of each monitoring device to obtain a monitoring object, and outputting a target track of the monitoring object.
S4: and displaying the target track of the monitored object on the human-computer interaction interface by using a GIS engine, monitoring instruction operation on the human-computer interaction interface, and distributing the instruction operation to each server.
The GIS engine reads local GIS map data, displays a map, a flight line, an airspace and the like on a man-machine interaction interface as base maps, and continuously updates a target track of a monitored object to the base maps. And after the instruction operation is distributed to each server, rescheduling the services distributed and deployed on each server to form a new monitoring task.
In this embodiment, step S2 specifically includes: after the monitoring task is formed, receiving messages sent by each monitoring device, judging whether the messages accord with a preset protocol or not, analyzing the data types of the messages when the messages accord with the preset protocol, inquiring whether the same data templates exist in a data template base or not, and converting the messages into monitoring data in a preset data format when the same data templates exist.
After receiving the message, firstly analyzing the data type according to the bit, inquiring whether the same data template exists in the data template base, and if so, converting the message into monitoring data in a preset data format. Further, step S2 further includes: and generating a log record when the data template does not accord with the preset protocol or the same data template does not exist. In this embodiment, the data template is in xml format, and the predetermined data format is JSON format.
Referring to fig. 2, the navigable monitoring system based on data stream distributed processing according to the embodiment of the present invention includes a task scheduling module 10, a protocol conversion module 20, a target processing module 30, and a navigable monitoring module 40.
The task scheduling module 10 is configured to schedule services distributed and deployed on each server according to a preset policy to form a monitoring task. The preset policy specifies the execution time, the execution frequency, the performance requirement, and the like of the monitoring task. And automatically executing the task and feeding back information. When the task scheduling module 10 performs scheduling, a user can visually complete functions of management (addition, deletion, modification, query), task running state monitoring, running log viewing and the like of monitoring tasks on a front-end Web interface, and arrange the monitoring tasks by configuring the dependency relationship of the monitoring tasks on line through a DAG graph.
The protocol conversion module 20 is configured to receive the messages sent by the monitoring devices after the monitoring tasks are formed, and convert the messages into monitoring data in a predetermined data format. In the embodiment, each monitoring device comprises a radar device, an ADS-B device, a photoelectric device, a communication direction-finding device, a remote control link device, a TDOA device and a cloud data device.
The message sent by the radar equipment comprises: heartbeat messages, state messages, radar target scatter messages, radar target messages, radar turntable control messages and target guide messages.
The message sent by the optoelectronic device includes: heartbeat messages, state messages, working mode and target messages, query control messages and target guide messages.
The message sent by the communication direction-finding equipment comprises: heartbeat messages, state messages, target messages, query messages and target guide messages.
The message sent by the remote control link equipment comprises: heartbeat messages, state messages, working mode and target messages, query control messages and target guide messages.
The message sent by the TDOA equipment comprises: heartbeat messages, status messages, target messages and query control messages.
The message sent by the cloud optimizing data equipment comprises the longitude and latitude of a target, the altitude, the ground clearance, the course, the speed, the azimuth angle, the pitch angle, the cloud optimizing registration number, the equipment manufacturer and the equipment serial number
The target processing module 30 is configured to associate, track, and manage the monitoring data of each monitoring device to obtain a monitored object, and output a target track of the monitored object.
The navigation monitoring module 40 is configured to display a target track of a monitored object on the human-computer interaction interface by using the GIS engine, monitor instruction operations on the human-computer interaction interface, and distribute the instruction operations to the servers. The GIS engine reads local GIS map data, displays a map, a flight line, an airspace and the like on a man-machine interaction interface as base maps, and continuously updates a target track of a monitored object to the base maps. And after the instruction operation is distributed to each server, rescheduling the services distributed and deployed on each server to form a new monitoring task.
In this embodiment, the protocol conversion module 10 is specifically configured to receive a message sent by each monitoring device, determine whether the message conforms to a preset protocol, analyze a data type of the message when the message conforms to the preset protocol, query whether the same data template exists in the data template library, and convert the message into monitoring data in a predetermined data format when the same data template exists. After receiving the message, the protocol conversion module 10 first analyzes the data type according to bits, queries whether the same data template exists in the data template library, and converts the message into monitoring data in a predetermined data format if the same data template exists. Further, the protocol conversion module 10 is further configured to generate a log record when the protocol does not conform to the preset protocol or the same data template does not exist. In this embodiment, the data template is in xml format, and the predetermined data format is JSON format.
The navigation monitoring module 40 can provide a target warning service and a target association study service in addition to the target monitoring. The target alarm service is to read the pre-stored alarm area data, to calculate the position of the continuously updated target track, and to send out alarm information if the target position enters the alarm area. The target association study and judgment service is used for generating a study and judgment target with a position, a direction and the like capable of moving along with a reference association target based on basic target information and combined with judgment information input by a user, continuously generating target data and displaying the target data on a man-machine interaction interface.
Through the mode, the navigation monitoring method and the navigation monitoring system based on data flow distributed processing in the embodiment of the invention are based on a data flow distributed technology, and distributed and deployed services are distributed through task scheduling, so that the efficiency close to large data processing can be realized, the deployment difficulty and cost are reduced, an intuitive human-computer interaction interface can be provided for a user, and the visualization of task management scheduling, running state monitoring and running log viewing is realized.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A navigation monitoring method based on data flow distributed processing is characterized by comprising the following steps:
s1: scheduling and distributing services deployed on each server according to a preset strategy to form a monitoring task;
s2: after the monitoring task is formed, receiving messages sent by each monitoring device, and converting the messages into monitoring data in a preset data format;
s3: associating, tracking and managing the monitoring data of each monitoring device to obtain a monitoring object, and outputting a target track of the monitoring object;
s4: and displaying the target track of the monitored object on a human-computer interaction interface by using a GIS engine, monitoring instruction operation on the human-computer interaction interface, and distributing the instruction operation to each server.
2. The navigation monitoring method according to claim 1, wherein the step S2 specifically includes: after the monitoring task is formed, receiving messages sent by each monitoring device, judging whether the messages accord with a preset protocol or not, analyzing the data types of the messages when the messages accord with the preset protocol, inquiring whether the same data templates exist in a data template base or not, and converting the messages into monitoring data in a preset data format when the same data templates exist.
3. The navigation monitoring method according to claim 2, wherein the step S2 further includes: and generating a log record when the data template does not accord with the preset protocol or the same data template does not exist.
4. The navigable monitoring method according to claim 3, wherein the data template is in xml format.
5. The navigable monitoring method according to claim 3, wherein the predetermined data format is a JSON format.
6. A navigation monitoring system based on data flow distributed processing is characterized by comprising a task scheduling module, a protocol conversion module, a target processing module and a navigation monitoring module;
the task scheduling module is used for scheduling the services distributed and deployed on each server according to a preset strategy to form a monitoring task;
the protocol conversion module is used for receiving messages sent by each monitoring device after the monitoring task is formed and converting the messages into monitoring data in a preset data format;
the target processing module is used for associating, tracking and track managing the monitoring data of each monitoring device to obtain a monitoring object and outputting a target track of the monitoring object;
the navigation monitoring module is used for displaying a target track of a monitored object on the human-computer interaction interface by utilizing the GIS engine, monitoring instruction operation on the human-computer interaction interface and distributing the instruction operation to each server.
7. The navigation monitoring system according to claim 6, wherein the protocol conversion module is specifically configured to receive a message sent by each monitoring device, determine whether the message conforms to a preset protocol, parse a data type of the message when the message conforms to the preset protocol, query whether the same data template exists in the data template library, and convert the same data template into monitoring data in a predetermined data format when the same data template exists.
8. The navigable monitoring system of claim 7, wherein the protocol conversion module is further configured to generate a log record if a preset protocol is not met or an identical data template does not exist.
9. The navigable monitoring system of claim 8, wherein the data template is in xml format.
10. The navigable monitoring system of claim 8, wherein the predetermined data format is a JSON format.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090073034A1 (en) * | 2007-05-19 | 2009-03-19 | Ching-Fang Lin | 4D GIS virtual reality for controlling, monitoring and prediction of manned/unmanned system |
| CN102375138A (en) * | 2010-08-20 | 2012-03-14 | 中国民用航空华东地区空中交通管理局 | Radar track and flight information comprehensive display system |
| CN202549080U (en) * | 2012-03-16 | 2012-11-21 | 中国民用航空总局第二研究所 | Fusion system of radar data, flight plan data and ADS-B data |
| CN103578300A (en) * | 2013-11-06 | 2014-02-12 | 华北计算技术研究所 | Network-oriented low-altitude flight dynamically monitoring system |
| US20150204973A1 (en) * | 2011-09-09 | 2015-07-23 | Accipiter Radar Technologies, Inc. | Device and method for 3d sampling with avian radar |
| CN104808197A (en) * | 2015-05-06 | 2015-07-29 | 四川九洲空管科技有限责任公司 | Multi-surveillance-source flying target parallel track processing method |
| CN105491122A (en) * | 2015-12-02 | 2016-04-13 | 中国民用航空总局第二研究所 | System for fusing and exchanging data among multiple control centers |
| CN105913692A (en) * | 2016-06-06 | 2016-08-31 | 北京威胜通达科技有限公司 | Flight monitoring service method and system thereof |
| CN107818696A (en) * | 2017-10-20 | 2018-03-20 | 西安戴森电子技术有限公司 | The all purpose aircraft monitoring platform of the Big Dipper, ADS B dual links navigation equipment structure |
| CN109523836A (en) * | 2018-10-29 | 2019-03-26 | 中国航空无线电电子研究所 | A kind of unmanned plane aviation management access General Platform |
| CN109976375A (en) * | 2017-12-27 | 2019-07-05 | 冯登超 | A kind of city low altitude airspace traffic administration platform based on three-dimensional digital air corridor |
| US20190279155A1 (en) * | 2016-07-21 | 2019-09-12 | Beijing Jingdong Shangke Information Technology Co., Ltd. | Method, device and system for monitoring order delivery anomaly based on gis technology |
| US20190325230A1 (en) * | 2018-04-20 | 2019-10-24 | Hashplay Inc. | System for tracking and visualizing objects and a method therefor |
| CN111882927A (en) * | 2020-07-03 | 2020-11-03 | 中国民用航空总局第二研究所 | 1090ES link ADS-B technology-based command operation management system and method |
-
2020
- 2020-11-20 CN CN202011306789.5A patent/CN112311900B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090073034A1 (en) * | 2007-05-19 | 2009-03-19 | Ching-Fang Lin | 4D GIS virtual reality for controlling, monitoring and prediction of manned/unmanned system |
| CN102375138A (en) * | 2010-08-20 | 2012-03-14 | 中国民用航空华东地区空中交通管理局 | Radar track and flight information comprehensive display system |
| US20150204973A1 (en) * | 2011-09-09 | 2015-07-23 | Accipiter Radar Technologies, Inc. | Device and method for 3d sampling with avian radar |
| CN202549080U (en) * | 2012-03-16 | 2012-11-21 | 中国民用航空总局第二研究所 | Fusion system of radar data, flight plan data and ADS-B data |
| CN103578300A (en) * | 2013-11-06 | 2014-02-12 | 华北计算技术研究所 | Network-oriented low-altitude flight dynamically monitoring system |
| CN104808197A (en) * | 2015-05-06 | 2015-07-29 | 四川九洲空管科技有限责任公司 | Multi-surveillance-source flying target parallel track processing method |
| CN105491122A (en) * | 2015-12-02 | 2016-04-13 | 中国民用航空总局第二研究所 | System for fusing and exchanging data among multiple control centers |
| CN105913692A (en) * | 2016-06-06 | 2016-08-31 | 北京威胜通达科技有限公司 | Flight monitoring service method and system thereof |
| US20190279155A1 (en) * | 2016-07-21 | 2019-09-12 | Beijing Jingdong Shangke Information Technology Co., Ltd. | Method, device and system for monitoring order delivery anomaly based on gis technology |
| CN107818696A (en) * | 2017-10-20 | 2018-03-20 | 西安戴森电子技术有限公司 | The all purpose aircraft monitoring platform of the Big Dipper, ADS B dual links navigation equipment structure |
| CN109976375A (en) * | 2017-12-27 | 2019-07-05 | 冯登超 | A kind of city low altitude airspace traffic administration platform based on three-dimensional digital air corridor |
| US20190325230A1 (en) * | 2018-04-20 | 2019-10-24 | Hashplay Inc. | System for tracking and visualizing objects and a method therefor |
| CN109523836A (en) * | 2018-10-29 | 2019-03-26 | 中国航空无线电电子研究所 | A kind of unmanned plane aviation management access General Platform |
| CN111882927A (en) * | 2020-07-03 | 2020-11-03 | 中国民用航空总局第二研究所 | 1090ES link ADS-B technology-based command operation management system and method |
Non-Patent Citations (3)
| Title |
|---|
| 胡文娟: "通航飞行服务站系统研究与实现", 《中国民航飞行学院学报》 * |
| 衡红军等: "基于ComGIS的ADS显示系统", 《计算机工程》 * |
| 赵瑞: "ADS-B飞行器航迹监视的三维可视化探讨", 《科技创新与应用》 * |
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