CN110704549B - Method, system, medium and device for selecting and constructing marine environment data service granularity - Google Patents
Method, system, medium and device for selecting and constructing marine environment data service granularity Download PDFInfo
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Abstract
The utility model provides a marine environment data service granularity selection and construction method, a system, a medium and a device, which is characterized in that a marine environment data service granularity selection model is constructed based on marine process objects organized by a process data cube model, and the optimal marine environment data service granularity is determined; constructing marine environment data services with different granularities based on a process object-to-service rapid mapping method, and converting data service access information flow between a data user and a data body; the method can be matched with the space-time scale of the ocean phenomenon, and can better reflect the space-time evolution characteristics of the continuous gradual change ocean dynamic phenomenon.
Description
Technical Field
The disclosure relates to a marine environment data service granularity selection and construction method, system, medium, and device.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The granularity (spatiotemporal scale) of the marine environment data service must be matched with the spatiotemporal scale of the marine phenomenon so as to better reflect the spatiotemporal evolution characteristics of the continuous gradual change marine dynamic phenomenon.
However, to the inventors' knowledge, existing particle size selection schemes do not match the spatio-temporal scale of marine phenomena.
To the inventor's knowledge, the choice of the granularity of marine environment data services is now based primarily on data sets, with data services being built from the entire data set. However, to study oceans well, the spatio-temporal scale of oceans needs to be combined, i.e. data services are constructed on the basis of data at different scales.
Disclosure of Invention
The invention provides a method, a system, a medium and equipment for selecting and constructing marine environment data service granularity, aiming at solving the problems.
According to some embodiments, the following technical scheme is adopted in the disclosure:
a marine environment data service granularity selection and construction method comprises the following steps:
constructing a marine environment data service granularity selection model based on marine process objects organized by a process data cube model, and determining the optimal marine environment data service granularity;
based on a process object to service rapid mapping method, marine environment data services with different granularities are constructed, and conversion of data service access information flow between a data user and a data body is carried out.
By way of further limitation, determining the optimal marine environmental data service granularity should conform to the magnitude of the selected data service granularity should encompass all variables on that scale that are relevant to the marine phenomenon under study.
By way of further limitation, determining the optimal marine environment data service granularity should be consistent with the data service granularity selected to be consistent with the intrinsic dimension, i.e., the oceanographic dimension.
As a further limitation, the granularity of the marine environment data service is expressed as a conceptual model, the conceptual model comprises six elements, unique identification of the data service, logic units of different levels of a marine space-time process contained in the data service, a process object, a process phase object and a process state object, an interface set provided by the data service, an interface set required by the data service and provided by the data service, a space scale of the data service and a time scale of the data service.
As a further limitation, marine environment data services with different granularities are constructed based on a quick mapping method from process objects to the services and a space information service standard.
By way of further limitation, when mapping a marine process object as a service, any of the following is employed:
1) directly mapping the ocean process object to an ocean data service;
2) mapping into a combination of a plurality of marine data services, and constructing the data services by taking the sub-process as a unit.
A marine environment data service granularity selection and construction system comprising:
the service granularity selection model building module is configured to build a marine environment data service granularity selection model based on marine process objects organized by a process data cube model, and determine the optimal marine environment data service granularity;
the marine environment data service construction module is configured to construct marine environment data services with different granularities based on a process object-to-service rapid mapping method, and perform conversion of data service access information flow between a data user and a data body.
A computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor of a terminal device and to execute a marine environment data service granularity selection and construction method.
A terminal device comprising a processor and a computer readable storage medium, the processor being configured to implement instructions; the computer readable storage medium is used for storing a plurality of instructions which are suitable for being loaded by a processor and executing the marine environment data service granularity selection and construction method.
Compared with the prior art, the beneficial effect of this disclosure is:
the method can be matched with the space-time scale of the ocean phenomenon, and can better reflect the space-time evolution characteristics of the continuous gradual change ocean dynamic phenomenon.
The constructed data service is more stable, and the expansibility and the maintainability are better.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
FIG. 1 is a flow chart of the present disclosure;
the specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 1, firstly, an optimal marine environment data service granularity needs to be determined; then, in a marine environment data sharing platform, marine environment data services with different granularities are constructed based on a process object-to-service rapid mapping method, namely, conversion of data service access information flow between a data user and a data body is realized.
Specifically, on the basis of a marine process object organized by a process data cube model, a marine environment data service granularity selection method is used for selecting proper data service granularity, and the following principle is adhered to when the data service granularity is determined:
a) the magnitude of the selected data service granularity (scale) should cover all variables on that scale that are relevant to the marine phenomenon under study.
b) The granularity (scale) of the selected data service is consistent with the intrinsic scale (marine phenomenon scale), and the granularity of the data service is far smaller than that of the intrinsic scale, so that the real trend is difficult to reflect; but the granularity of the data service is much larger than the granularity of the eigen-scale, which will result in "noise" being stronger than the "signal", causing a misunderstanding of the variables.
The marine process object organized by the process data cube model maps information such as time, space, attributes and the like of the marine process object into a plurality of dimensions of the data cube, and is a computer-readable data structure model.
In the selection of marine environment data service granularity, dynamic adjustment is needed according to the scale and the requirement of a marine process object, and the marine environment data service granularity is a dynamic process.
② based on the above principle, the granularity of the marine environment data service can be expressed as a conceptual model in a red dashed box, the conceptual model being a 6-tuple,<mid,froot,SI,TI,OI,II>. Where mid is the unique identity of the data service, frootDifferent levels of logical units of marine spatio-temporal processes involved for data services, i.e. frootMay be a process object, a process phase object, and a process state object; OI is an interface set provided by data service; II, an interface set which needs to be provided externally is used for data service; SI is the spatial dimension of the data service; TI is the time scale of the data service.
After the granularity of the data service is selected, constructing the marine environment data service with different granularities based on the mapping from the process object to the service and the OGC (Open geographic information-OGC) space information service standard under the marine environment data sharing platform.
The constructed marine environment data services with different granularities provide corresponding services on the marine environment data sharing service platform. Specific services include service querying, registration, operation control and management. The user can inquire and manage data through the marine environment data sharing service platform.
The process object to service based mapping should generally satisfy completeness and disjointness. Wherein, completeness means that any sub-process contained in the marine process object can be realized by one or more services. Disjointness means that any sub-process contained in a marine process object is not allowed to appear in two different services to avoid redundancy and inconsistency.
When mapping a marine process object as a service, two mapping strategies may be selected: 1) directly mapping to a marine data service; 2) the mapping is a combination of a plurality of marine data services, namely the data services are constructed by taking a sub-process as a unit.
A computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor of a terminal device and to execute a marine environment data service granularity selection and construction method.
A terminal device comprising a processor and a computer readable storage medium, the processor being configured to implement instructions; the computer readable storage medium is used for storing a plurality of instructions which are suitable for being loaded by a processor and executing the marine environment data service granularity selection and construction method.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (8)
1. A marine environment data service granularity selection and construction method is characterized by comprising the following steps: the method comprises the following steps:
constructing a marine environment data service granularity selection model based on marine process objects organized by a process data cube model, and determining the optimal marine environment data service granularity;
constructing marine environment data services with different granularities based on a process object-to-service rapid mapping method, and converting data service access information flow between a data user and a data body;
determining that the optimal marine environment data service granularity is consistent with the selected data service granularity and the intrinsic dimension, namely the marine phenomenon dimension;
the constructed marine environment data services with different granularities provide corresponding services on a marine environment data sharing service platform; the specific service comprises service inquiry, registration, operation control and management; the user can inquire and manage data through the marine environment data sharing service platform.
2. The marine environment data service granularity selection and construction method of claim 1, wherein: determining the optimal marine environment data service granularity should correspond to the selected data service granularity in a magnitude that covers all variables on that scale that are relevant to the marine phenomenon under study.
3. The marine environment data service granularity selection and construction method of claim 1, wherein: the method comprises the steps of expressing the granularity of the marine environment data service into a conceptual model, wherein the conceptual model comprises six elements, unique identification of the data service, logic units of different levels of marine space-time processes contained in the data service, a process object, a process stage object and a process state object, an interface set provided by the data service, an interface set required to be provided by the data service, a spatial scale of the data service and a time scale of the data service.
4. The marine environment data service granularity selection and construction method of claim 1, wherein: and constructing marine environment data services with different granularities based on a quick mapping method from the process object to the service and a space information service standard.
5. The marine environment data service granularity selection and construction method of claim 1, wherein: when the marine process object is mapped as a service, any one of the following is adopted:
1) directly mapping the ocean process object to an ocean data service;
2) mapping into a combination of a plurality of marine data services, and constructing the data services by taking the sub-process as a unit.
6. A marine environment data service granularity selection and construction system is characterized in that: the method comprises the following steps:
the service granularity selection model building module is configured to build a marine environment data service granularity selection model based on marine process objects organized by a process data cube model, and determine the optimal marine environment data service granularity;
the marine environment data service construction module is configured to construct marine environment data services with different granularities based on a process object-to-service rapid mapping method, and perform conversion of data service access information flow between data users and data bodies
Determining that the optimal marine environment data service granularity is consistent with the selected data service granularity and the intrinsic dimension, namely the marine phenomenon dimension;
the constructed marine environment data services with different granularities provide corresponding services on the marine environment data sharing service platform.
7. A computer-readable storage medium characterized by: a plurality of instructions stored therein, the instructions being adapted to be loaded by a processor of a terminal device and to perform a marine environment data service granularity selection and construction method of any one of claims 1-5.
8. A terminal device is characterized in that: the system comprises a processor and a computer readable storage medium, wherein the processor is used for realizing instructions; a computer readable storage medium for storing a plurality of instructions adapted to be loaded by a processor and to perform a marine environment data service granularity selection and construction method of any one of claims 1-5.
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| CN106201706A (en) * | 2015-04-30 | 2016-12-07 | 北大方正集团有限公司 | A kind of population method for service selection and system |
| CN106056609B (en) * | 2016-06-02 | 2018-11-06 | 上海海洋大学 | Method based on DBNMI model realization remote sensing image automatic markings |
| CN107610021B (en) * | 2017-07-21 | 2021-02-09 | 华中农业大学 | Comprehensive analysis method for space-time distribution of environment variables |
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