CN108984579A - The adaptively sampled communication means of oceanographic data and system - Google Patents
The adaptively sampled communication means of oceanographic data and system Download PDFInfo
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- CN108984579A CN108984579A CN201810404932.0A CN201810404932A CN108984579A CN 108984579 A CN108984579 A CN 108984579A CN 201810404932 A CN201810404932 A CN 201810404932A CN 108984579 A CN108984579 A CN 108984579A
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Abstract
The present invention provides a kind of adaptively sampled communication means of oceanographic data and systems, including water body similarity calculation: acquiring and parses water body sample, calculate the adjacent data otherness gradient that parsing obtains；Data acquisition scheme switching: according to adjacent data otherness gradient and the acquisition mode switching threshold of definition, data acquisition scheme is determined；Data are acquired and are communicated: according to determining data acquisition scheme acquisition, storing and transmitting data.Fusion machine learning of the present invention and the oceanographic instrumentation multi-sensor data collection communication technology, acquisition data are more efficient, solve the problems, such as system acquisition data redundancy；Only valid data are transmitted, solve the problems, such as that previous data volume is big but invalid data accounts for very big specific gravity, greatly reduce system bandwidth waste；Data are acquired according to data situation, guarantee the simulation accuracy of data.
Description
Technical field
The present invention relates to technical field of data processing, and in particular, to a kind of adaptively sampled communication means of oceanographic data
And system.
Background technique
In the data collection system of current sea sensor, isodensity data gathering algorithm is generally used, the algorithm is by being
System or user design and develop phase sets data and adopt denseness of set, and system adopts water body data according to the acquisition density of setting
Collection and analysis, this method are although fairly simple, it is easy to accomplish, but it can bring spatio-temporal redundancies problem, cause the big of acquisition
Data volume causes stress communication, reduces data acquisition efficiency, especially in face of current oceanographic instrumentation increasingly towards more sensings
The shortcomings that device is integrated, big data measures, this traditional approach is increasingly prominent.
It is usually at present actual requirement of the administrator according to measurement performance to the settling mode of this problem in technical field,
Data acquisition and communication time interval are artificially increased or decreased, it is done so that equally existing defect.Compare in data variation
Apparent region, it is believed that frequency acquisition is improved, it is done so that also improving to the frequency acquisition of data shoulder, waste system
Regiment commander is wide；On the contrary, needing to reduce sample frequency if reducing system bandwidth consumption, it is strong to will lead to data variation again in this way
The simulation accuracy in strong region cannot ensure.
Summary of the invention
For the defects in the prior art, the object of the present invention is to provide a kind of adaptively sampled communication means of oceanographic data
And system.
The adaptively sampled communication means of a kind of oceanographic data provided according to the present invention, comprising:
Water body similarity calculation step: acquiring and parses water body sample, calculates the adjacent data otherness ladder that parsing obtains
Degree；
Data acquisition scheme switch step: threshold is switched according to adjacent data otherness gradient and the acquisition mode of definition
Value, determines data acquisition scheme；
Data acquisition and communication steps: according to determining data acquisition scheme acquisition, data are stored and transmitted.
Preferably, the water body similarity calculation step specifically includes:
Step 1.1: acquisition water body sample；
Step 1.2: by machine learning, parsing water body sample data；
Step 1.3: calculating adjacent data otherness gradient.
Preferably, the data acquisition scheme switch step specifically includes:
Step 2.1: defining acquisition mode switching threshold；
Step 2.2: comparing adjacent data otherness gradient and acquisition mode switching threshold；
Step 2.3: by machine learning, adaptively determining data acquisition scheme.
Preferably, the data acquisition is specifically included with communication steps:
Step 3.1: data are acquired according to determining data acquisition scheme；
Step 3.2: storage and the collected data of transmission；
Step 3.3: returning to water body similarity calculation step and recycled.
The adaptively sampled communication system of a kind of oceanographic data provided according to the present invention, comprising:
Water body similarity calculation module: acquiring and parses water body sample, calculates the adjacent data otherness ladder that parsing obtains
Degree；
Data acquisition scheme switching module: threshold is switched according to adjacent data otherness gradient and the acquisition mode of definition
Value, determines data acquisition scheme；
Data acquisition and communication module: according to determining data acquisition scheme acquisition, data are stored and transmitted.
Preferably, the water body similarity calculation module specifically includes:
Sample collection submodule: acquisition water body sample；
Analyzing sub-module: by machine learning, water body sample data is parsed；
Computational submodule: adjacent data otherness gradient is calculated.
Preferably, the data acquisition scheme switch step specifically includes:
Threshold definitions submodule: acquisition mode switching threshold is defined；
Comparative sub-module: compare adjacent data otherness gradient and acquisition mode switching threshold；
Mode determines submodule: by machine learning, adaptively determining data acquisition scheme.
Preferably, the data acquisition is specifically included with communication module:
Data-acquisition submodule: data are acquired according to determining data acquisition scheme；
Storage and transmission submodule: it stores and transmits collected data.
Compared with prior art, the present invention have it is following the utility model has the advantages that
1, fusion machine learning and the oceanographic instrumentation multi-sensor data collection communication technology, acquisition data are more efficient, solution
Certainly system acquisition data redundancy problem；
2, only valid data are transmitted, solve the problems, such as that previous data volume is big but invalid data accounts for very big specific gravity,
Greatly reduce system bandwidth waste；
3, data are acquired according to data situation, guarantees the simulation accuracy of data.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Fig. 1 is flow chart of the invention.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention
Protection scope.
About the invention mode of this patent, we are mainly equipped on the intelligent buoyage towards global deep-sea ocean, base
In 1) multi-sensor data collection, 2) sample gradient calculates, 3) machine learning principle, 4) Automatic Control Theory, four aspects are real
The now patent of invention.
Global deep-sea ocean intelligence buoy realizes multiple-sensor integration technology, and the available water body of the sensor of carrying is a variety of
Data, in working sensor, water body sample in sensor acquisition range obtains sample data, simultaneity factor data processing
Module receives and processes water body sample data.
By treated, data carry out machine learning, and the adjacent data otherness ladder of data is calculated according to preset algorithm
Degree, obtains the similarity degree of continuous sampling data, and measure with numerical value.
It makes comparisons according to pre-set acquisition mode switching threshold, and by machine learning result gradient value with the threshold value,
Data processing module automatically controls switch data acquisition mode according to comparison result and adaptation range, by key control unit: when
When water body similarity high (gradient value is lower than threshold value), by the way of sparse acquisition, communication；When the low (gradient value of water body similarity
Higher than threshold value) when, by the way of intensive acquisition, communication.
It is repeated the above process based on machine learning principle, system is made to be in data calculating, threshold value comparison, pattern switching always
The course of work.
As shown in Figure 1, the adaptively sampled communication means of a kind of oceanographic data provided by the invention, comprising:
Water body similarity calculation step: acquiring and parses water body sample, calculates the adjacent data otherness ladder that parsing obtains
Degree；
Data acquisition scheme switch step: threshold is switched according to adjacent data otherness gradient and the acquisition mode of definition
Value, determines data acquisition scheme；
Data acquisition and communication steps: according to determining data acquisition scheme acquisition, data are stored and transmitted.
Water body similarity calculation step specifically includes:
Step 1.1: acquisition water body sample；
Step 1.2: by machine learning, parsing water body sample data；
Step 1.3: calculating adjacent data otherness gradient.
Data acquisition scheme switch step specifically includes:
Step 2.1: defining acquisition mode switching threshold；
Step 2.2: comparing adjacent data otherness gradient and acquisition mode switching threshold；
Step 2.3: by machine learning, adaptively determining data acquisition scheme.
Data acquisition is specifically included with communication steps:
Step 3.1: data are acquired according to determining data acquisition scheme；
Step 3.2: storage and the collected data of transmission；
Step 3.3: returning to water body similarity calculation step and recycled.
Based on the adaptively sampled communication means of above-mentioned oceanographic data, the present invention also provides a kind of oceanographic data is adaptively sampled
Communication system, comprising:
Water body similarity calculation module: acquiring and parses water body sample, calculates the adjacent data otherness ladder that parsing obtains
Degree；
Data acquisition scheme switching module: threshold is switched according to adjacent data otherness gradient and the acquisition mode of definition
Value, determines data acquisition scheme；
Data acquisition and communication module: according to determining data acquisition scheme acquisition, data are stored and transmitted.
Water body similarity calculation module specifically includes:
Sample collection submodule: acquisition water body sample；
Analyzing sub-module: by machine learning, water body sample data is parsed；
Computational submodule: adjacent data otherness gradient is calculated.
Data acquisition scheme switch step specifically includes:
Threshold definitions submodule: acquisition mode switching threshold is defined；
Comparative sub-module: compare adjacent data otherness gradient and acquisition mode switching threshold；
Mode determines submodule: by machine learning, adaptively determining data acquisition scheme.
Data acquisition is specifically included with communication module:
Data-acquisition submodule: data are acquired according to determining data acquisition scheme；
Storage and transmission submodule: it stores and transmits collected data.
One skilled in the art will appreciate that in addition to realizing system provided by the invention in a manner of pure computer readable program code
It, completely can be by the way that method and step be carried out programming in logic come so that the present invention provides and its other than each device, module, unit
System and its each device, module, unit with logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and embedding
Enter the form of the controller that declines etc. to realize identical function.So system provided by the invention and its every device, module, list
Member is considered a kind of hardware component, and to include in it can also for realizing the device of various functions, module, unit
To be considered as the structure in hardware component；It can also will be considered as realizing the device of various functions, module, unit either real
The software module of existing method can be the structure in hardware component again.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow
Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (8)
1. a kind of adaptively sampled communication means of oceanographic data characterized by comprising
Water body similarity calculation step: acquiring and parses water body sample, calculates the adjacent data otherness gradient that parsing obtains；
Data acquisition scheme switch step: according to adjacent data otherness gradient and the acquisition mode switching threshold of definition, really
Determine data acquisition scheme；
Data acquisition and communication steps: according to determining data acquisition scheme acquisition, data are stored and transmitted.
2. the adaptively sampled communication means of oceanographic data according to claim 1, which is characterized in that the water body similarity
Step is calculated to specifically include:
Step 1.1: acquisition water body sample；
Step 1.2: by machine learning, parsing water body sample data；
Step 1.3: calculating adjacent data otherness gradient.
3. the adaptively sampled communication means of oceanographic data according to claim 1, which is characterized in that the data acquisition module
Formula switch step specifically includes:
Step 2.1: defining acquisition mode switching threshold；
Step 2.2: comparing adjacent data otherness gradient and acquisition mode switching threshold；
Step 2.3: by machine learning, adaptively determining data acquisition scheme.
4. the adaptively sampled communication means of oceanographic data according to claim 1, which is characterized in that data acquisition with
Communication steps specifically include:
Step 3.1: data are acquired according to determining data acquisition scheme；
Step 3.2: storage and the collected data of transmission；
Step 3.3: returning to water body similarity calculation step and recycled.
5. a kind of adaptively sampled communication system of oceanographic data characterized by comprising
Water body similarity calculation module: acquiring and parses water body sample, calculates the adjacent data otherness gradient that parsing obtains；
Data acquisition scheme switching module: according to adjacent data otherness gradient and the acquisition mode switching threshold of definition, really
Determine data acquisition scheme；
Data acquisition and communication module: according to determining data acquisition scheme acquisition, data are stored and transmitted.
6. the adaptively sampled communication system of oceanographic data according to claim 5, which is characterized in that the water body similarity
Computing module specifically includes:
Sample collection submodule: acquisition water body sample；
Analyzing sub-module: by machine learning, water body sample data is parsed；
Computational submodule: adjacent data otherness gradient is calculated.
7. the adaptively sampled communication system of oceanographic data according to claim 5, which is characterized in that the data acquisition module
Formula switch step specifically includes:
Threshold definitions submodule: acquisition mode switching threshold is defined；
Comparative sub-module: compare adjacent data otherness gradient and acquisition mode switching threshold；
Mode determines submodule: by machine learning, adaptively determining data acquisition scheme.
8. the adaptively sampled communication system of oceanographic data according to claim 5, which is characterized in that data acquisition with
Communication module specifically includes:
Data-acquisition submodule: data are acquired according to determining data acquisition scheme；
Storage and transmission submodule: it stores and transmits collected data.
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| CN102279973A (en) * | 2010-06-11 | 2011-12-14 | 中国兵器工业第二○五研究所 | Sea-sky-line detection method based on high gradient key points |
| CN104915670A (en) * | 2015-04-29 | 2015-09-16 | 中国海洋大学 | Global ocean mesoscale eddy identification algorithm extracted on basis of HOG characteristics |
| CN105278353A (en) * | 2014-05-29 | 2016-01-27 | 中国电信股份有限公司 | Method and system for acquiring data intelligently and data processing device |
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2018
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7024424B1 (en) * | 2001-05-30 | 2006-04-04 | Microsoft Corporation | Auto playlist generator |
| CN102279973A (en) * | 2010-06-11 | 2011-12-14 | 中国兵器工业第二○五研究所 | Sea-sky-line detection method based on high gradient key points |
| CN105278353A (en) * | 2014-05-29 | 2016-01-27 | 中国电信股份有限公司 | Method and system for acquiring data intelligently and data processing device |
| CN104915670A (en) * | 2015-04-29 | 2015-09-16 | 中国海洋大学 | Global ocean mesoscale eddy identification algorithm extracted on basis of HOG characteristics |
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Application publication date: 20181211 |