CN111597195B - Ship atmospheric pollution emission list missing information processing method and device - Google Patents
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Abstract
The invention discloses a method and a device for processing missing information of a ship atmospheric pollution emission list, wherein the method comprises the following steps: acquiring a large amount of AIS data of missing information to be supplemented; judging whether the AIS data has related parameters or not; when the relevant parameters exist, counting a value set of missing information corresponding to the relevant parameters of the same ship type and the same relevant parameters in a ship static database according to the priorities corresponding to the relevant parameters; and when the value set is not empty, selecting a mode in the value set and supplementing the mode into the corresponding AIS data. The method is characterized in that a statistical substitution method is adopted to supplement missing information, the mode of the missing information value is counted under the same ship type and the same ship related parameters, and then the mode is assigned to the missing information. The supplemented information does not have the phenomenon that the supplemented result is contrary to the actual logic; the calculation error is reduced to a certain extent, and the compilation of the ship atmospheric pollutant emission list is facilitated.
Description
Technical Field
The invention relates to the field of ship transportation, in particular to a method and a device for processing missing information of an atmospheric pollution emission list of a ship.
Background
The method for compiling the list of the atmospheric pollutants discharged from the ship generally comprises a power method based on AIS, a power method based on the number of ships, a fuel method based on single-ship energy consumption, a fuel method based on regional energy consumption, a fuel method based on passenger-cargo turnover and the like. The AIS is an Automatic Identification System (AIS System for short) for ships, and is composed of a shore-based (base station) facility and shipborne equipment, and is a novel digital navigation aid System and equipment integrating a network technology, a modern communication technology, a computer technology and an electronic information display technology.
Global AIS vessel data can track the real-time vessel position around the world, being the most accurate and comprehensive satellite and land-based AIS vessel data around the world. The AIS-based power method is a method generally adopted at home and abroad at present. The key static parameters of the ship based on AIS power law requirements comprise the total power of a main engine, the total power of an auxiliary engine and the designed navigational speed of the ship.
However, the lack of such information (total power of the main engine, total power of the auxiliary engine and designed ship speed) in the actual operation process restricts the use of the dynamic method of AIS.
At present, a formula method is adopted for supplementing missing information in a power method based on AIS, but in the current empirical formula method, if a ship length sample is seriously missing, a negative value can appear in a calculation result in a sample space with a short ship length, and a calculation host power is larger than an actual host power and has a larger error in a sample space with a long ship length.
Therefore, how to improve the data quality of AIS so as to compile a ship atmospheric pollutant emission list needs to be solved urgently.
Disclosure of Invention
The invention provides a method and a device for processing missing information of a ship atmospheric pollution emission list, which at least partially or completely solve the technical problem of the AIS data with missing information.
In order to achieve the above object, in a first aspect, the present invention adopts the following technical solutions: a ship atmospheric pollution emission list missing information processing method comprises the following steps:
s100, acquiring a large amount of AIS data of missing information to be supplemented; the missing information includes: the total power of the main engine, the total power of the auxiliary engine and the designed navigational speed of the ship;
s200, judging whether related parameters exist in the AIS data or not; when the relevant parameters exist, counting a value set of missing information corresponding to the relevant parameters of the same ship type in a ship static database according to the priority corresponding to the relevant parameters;
s300, when the value set is not empty, selecting a mode in the value set and supplementing the mode into the corresponding AIS data.
Further, still include:
s400, when the value set is empty, expanding the range of the relevant parameters in the step S200 to +/-x%; step S200 and step S300 are iteratively performed.
Further, the step S200 includes:
s201, judging whether the ship needing to be supplemented with the missing information has captain data or not; when the captain data exist, counting a value set of missing information corresponding to the same ship type and the same captain in a ship static database; otherwise, executing step S202;
s202, judging whether total ton data exist in the ship needing to supplement the missing information; when the total ton data exists, counting a value set of missing information corresponding to the same total ton of the same ship type in a ship static database; otherwise, executing step S203;
s203, judging whether the ship needing to supplement the missing information has total load data or not; when the total load data exists, counting a value set of missing information corresponding to the same total load of the same ship type in a ship static database; otherwise, ending.
In a second aspect, an embodiment of the present invention further provides a ship atmospheric pollution emission list missing information processing apparatus, including:
the acquisition module is used for acquiring a large amount of AIS data of missing information to be supplemented; the missing information includes: the total power of the main engine, the total power of the auxiliary engine and the designed navigational speed of the ship;
the judgment statistical module is used for judging whether the AIS data has related parameters or not; when the relevant parameters exist, counting a value set of missing information corresponding to the relevant parameters of the same ship type in a ship static database according to the priority corresponding to the relevant parameters;
and the selecting and supplementing module is used for selecting a mode in the value set and supplementing the mode to the corresponding AIS data when the value set is not empty.
Further, still include:
and the adjusting module is used for adjusting the range of the relevant parameters in the judging and counting module to +/-x% when the value set is empty.
Further, the judging and counting module comprises:
the first judgment statistical unit is used for judging whether the ship needing to supplement the missing information has the captain data or not; when the captain data exist, counting a value set of missing information corresponding to the same ship type and the same captain in a ship static database;
the second judgment and statistics unit is used for judging whether the ship which needs to supplement the missing information has total ton data or not; when the total ton data exists, counting a value set of missing information corresponding to the same total ton of the same ship type in a ship static database;
the third judgment statistical unit is used for judging whether the ship needing to supplement the missing information has total load data or not; when the total load data exists, counting a value set of missing information corresponding to the same total load of the same ship type in a ship static database;
the execution priority of the first judgment and statistics unit is higher than that of the second judgment and statistics unit; the execution priority of the second judging and counting unit is higher than that of the third judging and counting unit.
In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for processing the missing information of the ship atmospheric pollution emission list according to any one of the above embodiments.
The invention has the advantages that: the invention provides a ship atmospheric pollution emission list missing information processing method, which comprises the following steps: acquiring a large amount of AIS data of missing information to be supplemented; the missing information includes: the total power of the main engine, the total power of the auxiliary engine and the design navigational speed of the ship; judging whether the AIS data has related parameters or not; when the relevant parameters exist, counting a value set of missing information corresponding to the relevant parameters of the same ship type in a ship static database according to the priority corresponding to the relevant parameters; and when the value set is not empty, selecting a mode in the value set and supplementing the mode into the corresponding AIS data. The method is characterized in that a statistical substitution method is adopted to supplement missing information, the mode of the missing information value is counted under the same ship type and the same ship related parameters, and then the mode is assigned to the missing information. The method can be used for compiling the ship atmospheric pollutant emission list based on the AIS power method; the supplemented information does not have the phenomenon that the supplemented result is contrary to the actual logic; the calculation error is reduced to some extent.
Drawings
Fig. 1 is a flowchart of a method for processing missing information of an atmospheric pollution emission list of a ship according to an embodiment of the present invention;
fig. 2 is a schematic diagram of AIS data missing information supplementation according to an embodiment of the present invention;
fig. 3 is a block diagram of a ship atmospheric pollution emission list missing information processing device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Referring to fig. 1, the method for processing missing information of the ship atmospheric pollution emission list provided by the invention comprises the following steps:
s100, acquiring a large amount of AIS data of missing information to be supplemented; the missing information includes: the total power of the main engine, the total power of the auxiliary engine and the design navigational speed of the ship;
s200, judging whether related parameters exist in the AIS data; when the relevant parameters exist, counting a value set of missing information corresponding to the relevant parameters of the same ship type in a ship static database according to the priority corresponding to the relevant parameters;
s300, when the value set is not empty, selecting a mode in the value set and supplementing the mode into the corresponding AIS data.
In this embodiment, the ship static database in step S200 stores a large amount of AIS data; the statistical range is not limited, for example, 1000 pieces of information and 2000 pieces of information can be counted, and 1 ten thousand or 10 ten thousand pieces of data can be counted according to specific requirements; when the statistical range is larger, the mode is more accurately selected, and can represent the general level of the data.
The AIS data corresponding to each ship may lack the total power of the main engine, the total power of the auxiliary engine and/or the designed navigational speed of the ship; the relevant calculation of the ship atmospheric pollutant emission can be carried out based on the three parameters. Therefore, the method adopts a statistical substitution method to supplement the missing information, counts the mode of the missing information value under the same ship type and the same ship related parameters, and assigns the mode to the missing information. The method can be used for compiling the ship atmospheric pollutant emission list based on the AIS power method; the supplemented information does not have the phenomenon that the supplemented result is contrary to the actual logic; the calculation error is reduced to a certain extent.
In one embodiment, the relevant parameters may be the ship's length, total tons and load tons; the data are generally unchangeable data, namely factory standard data of the ship. According to the relevant parameters, the corresponding relation between the static database of the ship and the missing information (the total power of the main engine, the total power of the auxiliary engine and the designed navigational speed) can be counted, the mode of the value of the missing information under the same ship type and the same relevant parameters (the ship length, the total ton and the load) can be further counted, and then the mode is assigned to the missing information. The step S200 specifically includes 3 sub-steps having execution priorities; the method comprises the following steps:
s201, judging whether the ship needing to be supplemented with the missing information has captain data or not; when the captain data exist, counting a value set of missing information corresponding to the same captain of the same ship type in a ship static database; otherwise, executing step S202;
s202, judging whether total ton data exist in the ship needing to supplement the missing information; when the total ton data exists, counting a value set of missing information corresponding to the same total ton of the same ship type in a ship static database; otherwise, executing step S203;
s203, judging whether the ship needing to supplement the missing information has total load data or not; when the total load data exists, counting a value set of missing information corresponding to the same total load of the same ship type in a ship static database; otherwise, ending.
When the value collection is empty, the relevant parameters can be adjusted up and down by a certain range; the adjustment range can be selected according to specific application, such as +/-5% -20%; the present invention is not limited to the adjustment range.
Each ship AIS data includes: MMSI, IMO, chinese ship name, english ship name, ship type, ship length, ship type width, ship type depth, total host power, host number, host model, total auxiliary engine power, auxiliary engine number, total ton, load ton, construction date, design navigational speed, cruise speed, navigational area and the like; the implementation of the invention is described in detail below with reference to fig. 2, and the method can be implemented by the associated program as follows:
firstly, inputting AIS data with missing information;
taking table one as an example: acquiring a large amount of AIS data of missing information to be supplemented;
ID | type of vessel | Length of ship | Total ton of | Ton of load | Total power of main engine | Total power of auxiliary machine | Design speed of ship | … |
1 | Working ship | 30m | 60 | 5t | ||||
2 | Oil tanker | 51000mt | ||||||
3 | Cargo ship | 145 | 12550mt | |||||
4 | Navigation ship | 1730mt | ||||||
… | … | … | … | … |
Watch 1
And secondly, judging whether the ship needing to supplement the missing information has the captain data or not, counting the value set of the missing information of the same ship type and the same captain in a static ship database if the ship needs to supplement the missing information, and otherwise, performing the third step. For example, taking the first piece of data in table one as an example, look up in the static database: AIS data of other ships with types of operation ships and ship lengths of 30m are obtained, and data such as total main engine power, total auxiliary engine power and ship design navigational speed are obtained.
And thirdly, judging whether the ships needing to be supplemented with the missing information have total ton data, if so, counting a value set of the same ship type and the same total ton missing information in a ship static database, and otherwise, performing the fourth step. For example, taking the fourth data in table one as an example, look up in the static database: AIS data of other ships with the types of the pilot ships and the total tons of 1730mt are obtained, and data such as total power of a main engine, total power of an auxiliary engine and design navigational speed of the ships are obtained.
And fourthly, judging whether the ship needing to supplement the missing information has total load ton data, if so, counting a value set of the same ship type and the same load ton missing information in a static database of the ship, and if not, executing the sixth step. For example, taking the third data in table one as an example, look up in the static database: the AIS data of other ships with the types of oil tankers and the loads of 51000mt are obtained, and the total power of the main engine, the total power of the auxiliary engine, the design navigational speed of the ship and the like are obtained.
And fifthly, judging whether the value set is empty, if so, expanding the ranges of the ship length, the total ton and the load ton to +/-5%, and then executing the second step.
And sixthly, finding out the mode in the set when the value set is not empty, and assigning the mode to the missing information. For example, when the total host power set corresponding to the length of the workboat being 30m is {200KW, 300KW, 250KW, 500KW, 250KW, 300KW }, then the mode 250KW may be selected and assigned to the total host power of the first piece of data in table one.
And seventhly, finishing the program.
Based on the same inventive concept, the embodiment of the invention also provides a ship atmospheric pollution emission list missing information processing device, and as the principle of the problem solved by the device is similar to that of the method, the implementation of the device can refer to the implementation of the method, and repeated parts are not described again.
Referring to fig. 3, an embodiment of the present invention provides a ship atmospheric pollution emission list missing information processing apparatus, including:
an obtaining module 31, configured to obtain a large amount of AIS data of missing information to be supplemented; the missing information includes: the total power of the main engine, the total power of the auxiliary engine and the designed navigational speed of the ship;
a judgment statistic module 32, configured to judge whether there is a relevant parameter in the AIS data; when the relevant parameters exist, counting a value set of missing information corresponding to the relevant parameters of the same ship type in a ship static database according to the priority corresponding to the relevant parameters;
and a selecting and supplementing module 33, configured to select a mode in the value set when the value set is not empty, and supplement the mode to the corresponding AIS data.
Further, the method also comprises the following steps: an adjusting module 34, configured to adjust the range of the relevant parameter in the statistics determining module 32 to ± x% when the value set is empty.
Further, the decision statistic module 32 includes:
a first judgment statistic unit 321, configured to judge whether there is captain data in a ship that needs to supplement missing information; when the captain data exist, counting a value set of missing information corresponding to the same ship type and the same captain in a ship static database;
a second judgment and statistics unit 322, configured to judge whether a ship that needs to supplement missing information has total ton data; when the total ton data exists, counting a value set of missing information corresponding to the same total ton of the same ship type in a ship static database;
a third judging and counting unit 323 for judging whether the ship which needs to supplement the missing information has total load data; when the total load data exists, counting a value set of missing information corresponding to the same total load of the same ship type in a ship static database;
the execution priority of the first judging and counting unit is higher than that of the second judging and counting unit; the execution priority of the second judgment and statistics unit is higher than that of the third judgment and statistics unit.
In a third aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the program, when executed by a processor, implements the ship atmospheric pollution emission list missing information processing method according to any one of the above embodiments.
Compared with the prior art, the invention has the following advantages:
(1) The method for processing the missing information of the ship atmospheric pollution emission list can be used for supplementing the missing information of the AIS dynamic method, solves the problem of information missing, and can further facilitate the compilation of the ship atmospheric pollution emission list;
(2) The missing information is supplemented by adopting a statistical substitution method, and the supplemented information does not have the phenomenon that the supplemented result is contrary to the actual logic; the error is reduced to a certain extent.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and are not limited. Although the present invention has been described in detail with reference to the embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (5)
1. A ship atmospheric pollution emission list missing information processing method is characterized by comprising the following steps:
s100, acquiring a large amount of AIS data of missing information to be supplemented; the missing information includes: the total power of the main engine, the total power of the auxiliary engine and the designed navigational speed of the ship;
s200, judging whether related parameters exist in the AIS data or not; when the relevant parameters exist, counting a value set of missing information corresponding to the relevant parameters of the same ship type and the same relevant parameters in a ship static database according to the priorities corresponding to the relevant parameters;
s300, when the value set is not empty, selecting a mode in the value set and supplementing the mode into the corresponding AIS data;
s400, when the value set is empty, enlarging the range of the relevant parameters in the step S200 to +/-x%; step S200 and step S300 are iteratively performed.
2. The method for processing the missing information of the ship atmospheric pollution emission list according to claim 1, wherein the step S200 includes:
s201, judging whether the ship needing to be supplemented with the missing information has captain data or not; when the captain data exist, counting a value set of missing information corresponding to the same ship type and the same captain in a ship static database; otherwise, executing step S202;
s202, judging whether total ton data exist in the ship needing to supplement the missing information; when the total ton data exists, counting a value set of missing information corresponding to the same total ton of the same ship type in a ship static database; otherwise, executing step S203;
s203, judging whether the ship needing to supplement the missing information has total load data or not; when the total load data exists, counting a value set of missing information corresponding to the same total load of the same ship type in a ship static database; otherwise, ending.
3. The ship atmosphere pollution emission list missing information processing device is characterized by comprising:
the acquisition module is used for acquiring a large amount of AIS data of missing information to be supplemented; the missing information includes: the total power of the main engine, the total power of the auxiliary engine and the designed navigational speed of the ship;
the judgment statistical module is used for judging whether the AIS data has related parameters or not; when the relevant parameters exist, counting a value set of missing information corresponding to the relevant parameters of the same ship type in a ship static database according to the priority corresponding to the relevant parameters;
a selecting and supplementing module, configured to select a mode in the value set when the value set is not empty, and supplement the mode to the corresponding AIS data;
and the adjusting module is used for adjusting the relevant parameter range in the judging and counting module to +/-x% when the value set is empty.
4. The device for processing the missing information of the ship atmospheric pollution emission list according to claim 3, wherein the judgment statistic module comprises:
the first judgment statistical unit is used for judging whether the ship needing to supplement the missing information has the captain data or not; when the captain data exist, counting a value set of missing information corresponding to the same captain of the same ship type in a ship static database;
the second judgment and statistics unit is used for judging whether the ship which needs to supplement the missing information has total ton data or not; when the total ton data exists, counting a value set of missing information corresponding to the same total ton of the same ship type in a ship static database;
the third judgment and statistics unit is used for judging whether the ship needing to supplement the missing information has total load data or not; when the total load data exists, counting a value set of missing information corresponding to the same total load of the same ship type in a ship static database;
the execution priority of the first judgment and statistics unit is higher than that of the second judgment and statistics unit; the execution priority of the second judging and counting unit is higher than that of the third judging and counting unit.
5. A computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the ship atmospheric pollution emission list missing information processing method according to any one of claims 1 to 2.
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