CN113190572A - Searching method suitable for data acquired by unmanned aerial vehicle - Google Patents
Searching method suitable for data acquired by unmanned aerial vehicle Download PDFInfo
- Publication number
- CN113190572A CN113190572A CN202110405519.8A CN202110405519A CN113190572A CN 113190572 A CN113190572 A CN 113190572A CN 202110405519 A CN202110405519 A CN 202110405519A CN 113190572 A CN113190572 A CN 113190572A
- Authority
- CN
- China
- Prior art keywords
- data
- unmanned aerial
- search
- data packet
- aerial vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000012163 sequencing technique Methods 0.000 claims abstract description 4
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000011084 recovery Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 2
- 230000010354 integration Effects 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 230000002349 favourable effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2425—Iterative querying; Query formulation based on the results of a preceding query
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
Abstract
The invention discloses a searching method suitable for data collected by an unmanned aerial vehicle, which comprises the following steps: p1, receiving a search task, extracting keywords of task data, performing parallel sequencing according to the relevance, and numbering; p2, connecting a server through a network, inquiring the state of the unmanned aerial vehicle, and locking the returned unmanned aerial vehicle; p3, connecting the locked unmanned aerial vehicle structure to obtain a data packet for collecting information; p4, carrying out iterative search on the data packets according to the number sorting keywords, and capturing the associated data packets; p5, arranging the data packets according to the number of the iterations of the serial number, and marking; p6, downloading and storing data according to the marked data packet to form retrieval data; p7, identifying data with the relevance not less than 80%, integrating to form search data, finishing the search task, and finally performing overall relevance association integration, ensuring the accuracy of the data, improving the timeliness, and being beneficial to popularization and use.
Description
Technical Field
The invention relates to the technical field of unmanned aerial vehicle data, in particular to a searching method suitable for unmanned aerial vehicle data acquisition.
Background
In current social life and work, unmanned aerial vehicle is applied to each industry, can produce a large amount of relevant trade data, and for the convenience of industry standard development, need search for unmanned aerial vehicle's data.
However, in the existing data search method, all unmanned aerial vehicles are mostly subjected to data downloading and then are subjected to global search, so that the normal working state of the unmanned aerial vehicles is influenced, the latest data acquisition is delayed, the data quantity required to be integrated is large, accurate and relevant large iterative search cannot be continued, the redundancy is large, the efficiency is low, accurate integration cannot be performed after search, the data search timeliness is further low, and a new search method needs to be provided.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a searching method suitable for unmanned aerial vehicle data acquisition.
In order to achieve the purpose, the invention adopts the following technical scheme:
a searching method suitable for data collected by an unmanned aerial vehicle comprises the following steps:
p1, receiving a search task, extracting keywords of task data, performing parallel sequencing according to the relevance and numbering;
p2, connecting a server through a network, inquiring the state of the unmanned aerial vehicle, and locking the returned unmanned aerial vehicle;
p3, connecting the locked unmanned aerial vehicle structure to obtain a data packet for collecting information;
p4, carrying out iterative search on the data packets according to the number sorting keywords, and capturing the associated data packets;
p5, arranging the data packets according to the number of the iterations of the serial number, and marking;
p6, downloading and storing data according to the marked data packet to form retrieval data;
and P7, matching the retrieved data according to the complete search task, identifying the data with the correlation degree not less than 80%, and integrating to form the search data, thereby completing the search task.
Preferably, the unmanned aerial vehicle state of the step P2 includes an outgoing flight state, a preliminary return flight state, a recovery yard shutdown state and a maintenance state.
Preferably, the step P2 for locking the drone includes locking the body of the drone and task dispatch locking, and no longer performing flight tasks.
Preferably, the iterative search of step P4 includes the following steps:
q1, arranging according to the numbered keywords to form a serial number 1, a serial number 2, a serial number 3 and a serial number 4;
q2, firstly, searching a single serial number, and searching data packets respectively associated with the serial number 1, the serial number 2, the serial number 3 and the serial number 4 to form a primary iteration data packet;
q3, searching two keywords in four serial numbers, searching for the second time in the primary iteration data packet, and performing the search for the second time
Secondly, forming a secondary iteration data packet;
q4, searching for three keywords in four serial numbers, performing the third search in the secondary iteration data packet, and performing the third search
Thirdly, forming a cubic iteration data packet;
and Q5, respectively storing the primary iteration data packet, the secondary iteration data packet and the tertiary iteration data packet to form an integral data packet, and finishing iterative search.
Preferably, the label of the step P5 is a first iteration packet label, a second iteration packet label B, and a third iteration packet label C.
Preferably, the P6 step names and sorts the retrieved data according to labels, while performing a compressed backup.
Preferably, the correlation degree of the step P7 is a task semantic correlation degree and a keyword correlation degree, and is a multiplication calculation.
Preferably, in the step P7, data with correlation degree of 60% -80% is used as a preparation data packet, and data packets with correlation degree of less than 60% are deleted.
According to the searching method suitable for the unmanned aerial vehicle data collection, provided by the invention, the state of the unmanned aerial vehicle is inquired in one step, the data of the returning unmanned aerial vehicle can be downloaded without influencing the normal operation of the unmanned aerial vehicle, the timeliness and the stability of data goods are ensured, meanwhile, the keyword search is carried out on the data, the redundant data is effectively removed, the searching efficiency is improved, then, the iterative retrieval is carried out, the keyword association accuracy is ensured, and finally, the overall correlation degree association integration is carried out, the data accuracy is ensured, the timeliness is improved, and the method is favorable for popularization and use.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
A searching method suitable for data collected by an unmanned aerial vehicle comprises the following steps:
p1, receiving a search task, extracting keywords of task data, performing parallel sequencing according to the relevance and numbering;
p2, connecting a server through a network, inquiring the state of the unmanned aerial vehicle, and locking the returned unmanned aerial vehicle;
p3, connecting the locked unmanned aerial vehicle structure to obtain a data packet for collecting information;
p4, carrying out iterative search on the data packets according to the number sorting keywords, and capturing the associated data packets;
p5, arranging the data packets according to the number of the iterations of the serial number, and marking;
p6, downloading and storing data according to the marked data packet to form retrieval data;
and P7, matching the retrieved data according to the complete search task, identifying the data with the correlation degree not less than 80%, and integrating to form the search data, thereby completing the search task.
Preferably, the unmanned aerial vehicle state of the step P2 includes an outgoing flight state, a prepared return state, a recovery yard shutdown state, and a maintenance state.
Preferably, the step P2 for locking the drone includes locking the body of the drone and task dispatch locking, and no longer performing a flight task.
Preferably, the iterative search of step P4 includes the following steps:
q1, arranging according to the numbered keywords to form a serial number 1, a serial number 2, a serial number 3 and a serial number 4;
q2, firstly, searching a single serial number, and searching data packets respectively associated with the serial number 1, the serial number 2, the serial number 3 and the serial number 4 to form a primary iteration data packet;
q3, searching two keywords in four serial numbers, searching for the second time in the primary iteration data packet, and performing the search for the second time
Secondly, forming a secondary iteration data packet;
q4, searching for three keywords in four serial numbers, performing the third search in the secondary iteration data packet, and performing the third search
Thirdly, forming a cubic iteration data packet;
and Q5, respectively storing the primary iteration data packet, the secondary iteration data packet and the tertiary iteration data packet to form an integral data packet, and finishing iterative search.
Preferably, the P5 step is marked as a first iteration data packet, a second iteration data packet, and a third iteration data packet, respectively.
Preferably, the P6 step retrieves the data for naming and ordering according to the tags, while performing a compressed backup.
Preferably, the correlation degree of the step P7 is a task semantic correlation degree and a keyword correlation degree, and is a multiplication calculation.
Preferably, in the step P7, data with a correlation degree of 60% -80% is used as a preparation data packet, and data packets with a correlation degree of less than 60% are deleted.
According to the searching method suitable for the unmanned aerial vehicle collected data, provided by the invention, the state of the unmanned aerial vehicle is inquired in one step, the data of the return unmanned aerial vehicle can be downloaded while the normal operation of the unmanned aerial vehicle is not influenced, the timeliness and the stability of data goods are ensured, meanwhile, the keyword search is carried out on the data, redundant data is effectively removed, the searching efficiency is improved, then, the iterative retrieval is carried out, the keyword association accuracy is ensured, and finally, the overall correlation degree association integration is carried out, the data accuracy is ensured, the timeliness is improved, and the method is favorable for popularization and use.
Claims (8)
1. The utility model provides a search method suitable for unmanned aerial vehicle data collection which characterized in that: the searching method comprises the following steps:
p1, receiving a search task, extracting keywords of task data, performing parallel sequencing according to the relevance, and numbering;
p2, connecting a server through a network, inquiring the state of the unmanned aerial vehicle, and locking the returned unmanned aerial vehicle;
p3, connecting the locked unmanned aerial vehicle structure to obtain a data packet for collecting information;
p4, carrying out iterative search on the data packets according to the number sorting keywords, and capturing the associated data packets;
p5, arranging the data packets according to the number of the iterations of the serial number, and marking;
p6, downloading and storing data according to the marked data packet to form retrieval data;
and P7, matching the retrieved data according to the complete search task, identifying the data with the correlation degree not less than 80%, and integrating to form the search data, thereby completing the search task.
2. The search method applicable to data acquisition by unmanned aerial vehicles according to claim 1, characterized in that: the unmanned aerial vehicle state of the step P2 includes an outgoing flight state, a prepared return flight state, a recovery yard shutdown state and a maintenance state.
3. The search method applicable to data acquisition by unmanned aerial vehicles according to claim 1, characterized in that: the step P2 locks the drone including locking the body of the drone and task dispatch locking, and no longer performing flight tasks.
4. The search method applicable to data acquisition by unmanned aerial vehicles according to claim 1, characterized in that: the iterative search of the P4 step includes the following steps:
q1, arranging according to the numbered keywords to form a serial number 1, a serial number 2, a serial number 3 and a serial number 4;
q2, firstly, searching a single serial number, and searching data packets respectively associated with the serial number 1, the serial number 2, the serial number 3 and the serial number 4 to form a primary iteration data packet;
q3, searching two keywords in four serial numbers, searching for the second time in the primary iteration data packet, and performing the search for the second time
Secondly, forming a secondary iteration data packet;
q4, searching for three keywords in four serial numbers, performing the third search in the secondary iteration data packet, and performing the third search
Thirdly, forming a cubic iteration data packet;
and Q5, respectively storing the primary iteration data packet, the secondary iteration data packet and the tertiary iteration data packet to form an integral data packet, and finishing iterative search.
5. The search method applicable to data acquisition by unmanned aerial vehicles according to claim 1, characterized in that: the label of the step P5 is a first iteration data packet label A, a second iteration data packet label B and a third iteration data packet label C.
6. The search method applicable to data acquisition by unmanned aerial vehicles according to claim 1, characterized in that: the P6 step names and sorts the retrieved data according to labels while performing a compressed backup.
7. The search method applicable to data acquisition by unmanned aerial vehicles according to claim 1, characterized in that: the relevance of the step P7 is task semantic relevance and keyword relevance, and is a multiplication calculation.
8. The search method applicable to data acquisition by unmanned aerial vehicles according to claim 1, characterized in that: in the step P7, data with correlation degree of 60% -80% is used as a preparation data packet, and data packets with correlation degree of less than 60% are deleted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110405519.8A CN113190572B (en) | 2021-04-15 | 2021-04-15 | Searching method suitable for data acquired by unmanned aerial vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110405519.8A CN113190572B (en) | 2021-04-15 | 2021-04-15 | Searching method suitable for data acquired by unmanned aerial vehicle |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113190572A true CN113190572A (en) | 2021-07-30 |
| CN113190572B CN113190572B (en) | 2022-11-18 |
Family
ID=76977101
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110405519.8A Expired - Fee Related CN113190572B (en) | 2021-04-15 | 2021-04-15 | Searching method suitable for data acquired by unmanned aerial vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113190572B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140277854A1 (en) * | 2013-03-15 | 2014-09-18 | Azure Sky Group Llc | Modular drone and methods for use |
| CN105737819A (en) * | 2016-02-25 | 2016-07-06 | 西北工业大学 | Unmanned aerial vehicle three-dimensional airway planning method based on space compression and table-lookup calculation |
| CN108293187A (en) * | 2016-02-10 | 2018-07-17 | 加拿大Bc省温哥华迷锋企业有限公司 | Using bio-identification come certification or the user of registration wearable device |
| US20180293248A1 (en) * | 2017-04-05 | 2018-10-11 | Toyota Research Institute, Inc. | Mobile computing systems and methods for accessing data |
| CN109447048A (en) * | 2018-12-25 | 2019-03-08 | 苏州闪驰数控系统集成有限公司 | A kind of artificial intelligence early warning system |
| US20190102874A1 (en) * | 2017-09-29 | 2019-04-04 | United Parcel Service Of America, Inc. | Predictive parcel damage identification, analysis, and mitigation |
| CN110971291A (en) * | 2019-12-13 | 2020-04-07 | 天宇经纬（北京）科技有限公司 | Unmanned aerial vehicle data communication method, device and system for adding key information |
| CN111353113A (en) * | 2020-02-28 | 2020-06-30 | 江苏方天电力技术有限公司 | Visual rendering method suitable for high-frequency state data of unmanned aerial vehicle |
| CN211076324U (en) * | 2019-12-04 | 2020-07-24 | 普华鹰眼科技发展有限公司 | Anti structure of falling of unmanned aerial vehicle |
| CN111452988A (en) * | 2020-01-09 | 2020-07-28 | 国网内蒙古东部电力有限公司呼伦贝尔供电公司 | Unmanned aerial vehicle multi-machine cooperative intelligent inspection system and method based on ubiquitous power Internet of things |
| CN111479086A (en) * | 2019-01-04 | 2020-07-31 | 西南林业大学 | Intelligent real-time command management system for unmanned aerial vehicle |
| CN111800180A (en) * | 2020-05-12 | 2020-10-20 | 萧县航迅信息技术有限公司 | Rescue target discovery system and method for field unmanned aerial vehicle |
-
2021
- 2021-04-15 CN CN202110405519.8A patent/CN113190572B/en not_active Expired - Fee Related
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140277854A1 (en) * | 2013-03-15 | 2014-09-18 | Azure Sky Group Llc | Modular drone and methods for use |
| CN108293187A (en) * | 2016-02-10 | 2018-07-17 | 加拿大Bc省温哥华迷锋企业有限公司 | Using bio-identification come certification or the user of registration wearable device |
| CN105737819A (en) * | 2016-02-25 | 2016-07-06 | 西北工业大学 | Unmanned aerial vehicle three-dimensional airway planning method based on space compression and table-lookup calculation |
| US20180293248A1 (en) * | 2017-04-05 | 2018-10-11 | Toyota Research Institute, Inc. | Mobile computing systems and methods for accessing data |
| US20190102874A1 (en) * | 2017-09-29 | 2019-04-04 | United Parcel Service Of America, Inc. | Predictive parcel damage identification, analysis, and mitigation |
| CN109447048A (en) * | 2018-12-25 | 2019-03-08 | 苏州闪驰数控系统集成有限公司 | A kind of artificial intelligence early warning system |
| CN111479086A (en) * | 2019-01-04 | 2020-07-31 | 西南林业大学 | Intelligent real-time command management system for unmanned aerial vehicle |
| CN211076324U (en) * | 2019-12-04 | 2020-07-24 | 普华鹰眼科技发展有限公司 | Anti structure of falling of unmanned aerial vehicle |
| CN110971291A (en) * | 2019-12-13 | 2020-04-07 | 天宇经纬（北京）科技有限公司 | Unmanned aerial vehicle data communication method, device and system for adding key information |
| CN111452988A (en) * | 2020-01-09 | 2020-07-28 | 国网内蒙古东部电力有限公司呼伦贝尔供电公司 | Unmanned aerial vehicle multi-machine cooperative intelligent inspection system and method based on ubiquitous power Internet of things |
| CN111353113A (en) * | 2020-02-28 | 2020-06-30 | 江苏方天电力技术有限公司 | Visual rendering method suitable for high-frequency state data of unmanned aerial vehicle |
| CN111800180A (en) * | 2020-05-12 | 2020-10-20 | 萧县航迅信息技术有限公司 | Rescue target discovery system and method for field unmanned aerial vehicle |
Non-Patent Citations (4)
| Title |
|---|
| SANGWOO SHIM等: "Control integrated query processing system for coordination of multiple UAVs", 《2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC)》 * |
| 徐新爱: "无人机海量飞行数据快速检索方法研究", 《计算机测量与控制》 * |
| 李志鹏: "釜溪河流域高分航空影像处理及数字平台系统", 《中国优秀硕士学位论文全文数据库基础科学辑》 * |
| 贾木子: "无人机故障数据快速检索系统", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113190572B (en) | 2022-11-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106960037B (en) | A kind of distributed index the resources integration and share method across intranet and extranet | |
| CN104216895B (en) | A kind of method and device for generating POI data | |
| CN103514201B (en) | Method and device for querying data in non-relational database | |
| CN101882163A (en) | Fuzzy Chinese address geographic evaluation method based on matching rule | |
| CN102495906A (en) | Incremental data migration method capable of realizing breakpoint transmission | |
| CN102521364B (en) | Method for inquiring shortest path between two points on map | |
| CN113535788B (en) | Ocean environment data-oriented retrieval method, system, equipment and medium | |
| CN109376121A (en) | A kind of document indexing system and method based on ElasticSearch full-text search | |
| CN104881427A (en) | Data blood relationship analyzing method for power grid regulation and control running | |
| CN101957860B (en) | Method and device for releasing and searching information | |
| CN102999524A (en) | Method and system for searching document association | |
| CN107682395A (en) | A kind of big data cloud computing runtime and method | |
| CN111104449A (en) | Multisource city space-time standard address fusion method based on geographic space portrait mining | |
| CN103077216B (en) | The method of subgraph match device and subgraph match | |
| CN102467544B (en) | Information smart searching method and system based on space fuzzy coding | |
| CN113190572B (en) | Searching method suitable for data acquired by unmanned aerial vehicle | |
| CN109189873A (en) | A kind of Meteorological Services big data monitoring analysis system platform | |
| CN112163152A (en) | Accurate recommendation system for legal provision | |
| CN117032654A (en) | Cloud computing-based intelligent auxiliary method and system for software development | |
| CN107728931A (en) | Method and apparatus for data storage | |
| CN111090630A (en) | Data fusion processing method based on multi-source spatial point data | |
| CN112527836B (en) | Big data query method based on T-BOX platform | |
| CN112488642B (en) | Cloud file management method based on structured labels and taking object as core | |
| CN110737665B (en) | Data processing method and device | |
| CN110928990B (en) | Method for recommending special power equipment ledger data based on user portrait |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20221118 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |