CN108009723A - A kind of ship navigation state judges and energy efficiency state assessment system - Google Patents
A kind of ship navigation state judges and energy efficiency state assessment system Download PDFInfo
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- CN108009723A CN108009723A CN201711252246.8A CN201711252246A CN108009723A CN 108009723 A CN108009723 A CN 108009723A CN 201711252246 A CN201711252246 A CN 201711252246A CN 108009723 A CN108009723 A CN 108009723A
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- 238000007405 data analysis Methods 0.000 claims description 4
- 238000010835 comparative analysis Methods 0.000 claims description 3
- 238000000926 separation method Methods 0.000 claims description 3
- 238000007619 statistical method Methods 0.000 claims description 3
- 238000002485 combustion reaction Methods 0.000 claims description 2
- 235000013399 edible fruits Nutrition 0.000 claims description 2
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- 239000003344 environmental pollutant Substances 0.000 abstract description 4
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- 238000006731 degradation reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000000295 fuel oil Substances 0.000 description 2
- 238000000513 principal component analysis Methods 0.000 description 2
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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- Y02P90/82—Energy audits or management systems therefor
Abstract
The invention discloses a kind of ship navigation state to judge and energy efficiency state assessment system, by extracting the data characteristicses such as ship speed, engine speed, main engine power and fuel consumption, ship navigation state is generated to judge and host energy efficiency evaluation criterion, realize and real time monitoring is realized to the operating status of marine main engine and operating status can be classified and be judged according to history aeronautical data, born with the operation decision-making that can effectively reduce crewman, while ship efficiency can be improved, reduce the distinguishing feature of disposal of pollutants.
Description
Technical field
The present invention relates to the intelligent management field of ship, more particularly, to a kind of judgement of ship navigation state and efficiency
Status assessing system.
Background technology
Important component of the intelligent energy efficiency management as intelligent ship standard system, the purpose is to realize ship efficiency reality
When monitoring, intelligent evaluation and optimization, it is horizontal to improve ship energy efficiency management.By big data analysis, numerical analysis and optimisation technique,
Data assessment analysis result and aid decision suggestion are provided for ship.
The operating status of marine main engine is the important indicator of ship navigation state.Commented at present for the runnability of diesel engine
Estimate and use base-line method (bibliography 1), describe the performance degradation process of diesel engine using the offset of baseline, and propose fuel oil
The curve of consumption rate, but fuel consumption is not only related with the rotating speed of diesel engine, it is also related with diesel engine power.This method
Do not consider that power factor (PF) influences fuel consumption, and do not differentiate between operating mode and operational configuration.
In ref, host operating mode is divided using the method for principal component analysis, analyzes ship emphatically
Incidence relation between performance parameter and navigation performance parameter, but directly marine main engine state can not be provided for engineer.
Real time monitoring is realized to the operating status of marine main engine and operating status can be divided according to history aeronautical data
Class and judgement, can effectively reduce the operation decision-making burden of crewman, while can improve ship efficiency, reduce disposal of pollutants.
Bibliography 1:G,Parlak A,Erdem H H.Determination of
performance degradation of a marine diesel engine by using curve based
approach[J].Applied Thermal Engineering,2016,108:1136-1146.
Bibliography 2:Perera L P,Mo B.Marine Engine Operating Regions under
Principal Component Analysis to evaluate Ship Performance and Navigation
Behavior.[C]//Ifac Conference on Control Applications in Marine Systems.2016.
The content of the invention
It is an object of the invention to overcome drawbacks described above existing in the prior art, there is provided a kind of ship navigation state judge with
Energy efficiency state assessment system, by extracting the data characteristicses such as ship speed, engine speed, main engine power and fuel consumption, generation
Ship navigation state judges and host energy efficiency evaluation criterion, realizes and real time monitoring is realized to the operating status of marine main engine and can be according to
Operating status is classified and judged according to history aeronautical data, can effectively reduce the operation decision-making burden of crewman, while can
To improve ship efficiency, disposal of pollutants is reduced.
To achieve the above object, technical scheme is as follows:
A kind of ship navigation state judges and energy efficiency state assessment system, it is characterised in that sentences including ship navigation state
Disconnected module, host energy efficiency evaluation module and display module;
The ship navigation state judgment module reads engine speed, ship speed, main engine power and fuel flow and judges
Ship navigation state is in parked state or motor-driven operational configuration or constant speed operational configuration or rushes car state;
The host energy efficiency evaluation module establishes host energy efficiency state assessment level and right according to history flight number aeronautical data
Marine main engine assessment efficiency in constant speed operational configuration;
The display module shows real-time ship navigation state and marine main engine energy efficiency evaluation result in the form of a web page
Show to crewman.
Further, the parked state refers to that engine speed is less than given threshold value Plim and main engine power less than given
Threshold value Vlim.
Further, the motor-driven operational configuration refers to that the time difference of engine speed is more than given threshold value and host
The time difference of power is more than given threshold value.
Further, the constant speed operational configuration refers to that the time difference of engine speed is less than given threshold value and host
The time difference of power is less than given threshold value.
Further, the constant speed operational configuration judges sea situation state according to engine speed fluctuation size, and one is shared
Ten kinds of sea situation states of 1.0-1.9.
Further, the car condition adjudgement step of rushing includes:
Step S11:Set ship constant speed navigation normal revolution;
Step S12:Sliding average is taken to marine main engine rotating speed, and it is poor with ship constant speed navigation normal revolution progress
Value calculates, and extracts the rotating speed sequence that rotating speed difference is more than 2;
Step S13:When rotating speed sequence of the rotating speed difference more than 2 is more than three continuity points, it is judged as rushing car state, otherwise
Car state is rushed to be non-;
Step S14:When rotating speed sequence of the rotating speed difference more than 2 is more than the rotating speed of three continuity points and rotating speed difference more than 2
When sequence is less than ten continuity points, it is judged as rushing the incipient stage of car state;
Step S15:When rotating speed sequence of the rotating speed difference more than 2 is more than the rotating speed of three continuity points and rotating speed difference more than 2
When sequence is more than 110 continuity points, it is judged as rushing the ending phase of car state;
Step S16:When rotating speed sequence of the rotating speed difference more than 2 is more than the rotating speed of three continuity points and rotating speed difference more than 2
When sequence length is between 11 continuity points and 109 continuity points, it is judged as rushing the interstage of car state;
Further, the host energy efficiency evaluation comprises the following steps:
Step S21:Host energy efficiency state assessment level is established according to history flight number aeronautical data;
Step S22:Choose constant speed operational configuration data and carry out host energy efficiency evaluation, obtain specific operational configuration fuel flow
Fuel consumption is calculated with main engine power monitor value, using 500kW as one group, counts the fuel consumption in the range of main engine power;
Step S23:Main engine power, fuel consumption and the operational configuration and energy efficiency evaluation criterion monitored during current flight
Contrasted, read the assessment parameter under respective hosts power bracket and operational configuration, contrast current fuel consumption rate is being assessed
Position between parameter, generates and exports assessment result.
Further, the host energy efficiency state assessment level described in the step S21 comprises the following steps
Step S211:Select specific operational configuration;
Step S212:The corresponding main engine power of operational configuration and fuel consumption data are read from database;
Step S213:Statistical analysis, each host work(are carried out to the fuel consumption regularity of distribution under different main engine powers
Rate is divided into 5 separations, and writes the result into database;
Step S214:The data analysis of the specific operational configuration is completed, and the data of next specific operational configuration are carried out
Analysis, returns to step S211, if there is no next specific operational configuration, completes host energy efficiency state assessment level process.
Further, in the step S23, position of the contrast current fuel consumption rate between parameter is assessed makes
Comparative evaluation is carried out with the assessment parameter box figure containing bound, upper lower quartile and median, when current fuel consumes
Rate is higher than the upper bound, then assessment result is abnormal high;When current fuel consumption rate is higher than upper quartile line less than the upper bound, then comment
Result is estimated for height;When current fuel consumption rate is between upper quartile line and lower quartile line, then assessment result is
Normally;When current fuel consumption rate is higher than lower bound less than lower quartile line, then assessment result is low;When current fuel consumes
When rate is less than lower bound, then assessment result is abnormal low;When current fuel consumption rate is other values, then assessment result for it is non-just
Often.
It can be seen from the above technical proposal that the present invention is by extracting ship speed, engine speed, main engine power and fuel oil
The data characteristicses such as consumption, generation ship navigation state judges and host energy efficiency evaluation criterion, realizes the operation shape to marine main engine
State, which is realized, to be monitored in real time and operating status can be classified and be judged according to history aeronautical data, and therefore, the present invention has can
The effective operation decision-making burden for reducing crewman, while ship efficiency can be improved, reduce the distinguishing feature of disposal of pollutants.
Brief description of the drawings
Fig. 1 is that a kind of ship navigation state of the present invention judges the structure diagram with energy efficiency state assessment system;
Fig. 2 is the ship navigation state decision flow chart of the present invention;
The ship that Fig. 3 is the present invention rushes car condition adjudgement flow chart;
Fig. 4 is the host energy efficiency state assessment level Establishing process figure of the present invention;
Fig. 5 is the host energy efficiency evaluation flow chart of the present invention;
Fig. 6 is the host energy efficiency evaluation result box figure of the present invention.
Embodiment
Below in conjunction with the accompanying drawings, the embodiment of the present invention is described in further detail.
It should be noted that in following embodiments, when embodiments of the present invention are described in detail, in order to clear
Ground represents the structure of the present invention in order to illustrate, special not draw to the structure in attached drawing according to general proportion, and has carried out part
Amplification, deformation and simplified processing, therefore, should avoid in this, as limitation of the invention to understand.
In embodiment of the invention below, referring to Fig. 1, Fig. 1 is a kind of ship navigation state of the present invention
Judge the structure diagram with energy efficiency state assessment system, and with reference to figure 2~6.A kind of as shown in Figure 1, ship boat of the present invention
Row condition adjudgement includes ship navigation state judgment module a, host energy efficiency evaluation module b and display with energy efficiency state assessment system
Module c.
Ship navigation state judgment module a reads engine speed, ship speed, main engine power and fuel flow and judges ship
Operational configuration is in parked state or motor-driven operational configuration or constant speed operational configuration or rushes car state.
Host energy efficiency evaluation module b (comes from the boat of ship navigation state judgment module a according to history flight number aeronautical data
The data of row state) establish host energy efficiency state assessment level and efficiency is assessed to the marine main engine in constant speed operational configuration.
Display module c is by the real-time ship navigation state of ship navigation state judgment module a and host energy efficiency evaluation mould
The real-time marine main engine energy efficiency evaluation result of block b is shown to crewman in the form of a web page.
Specifically, ship navigation state judges to comprise the following steps with energy efficiency state appraisal procedure:
Step S1:Main engine power and fuel flow are read, calculates and obtains fuel consumption.
Step S2:Engine speed, fuel consumption and ship speed are read, judges that ship navigation state is in parked state
Or motor-driven operational configuration or constant speed operational configuration or car state is rushed, as shown in Figure 2.Ship navigation state result is output to display mould
Block, in the form of a web page for crewman with reference to use.
Specifically, ship generally berths, motor-driven navigation and constant speed navigate by water three kinds of navigation shapes during real navigation
State, obtains the parameters such as marine main engine rotating speed, main engine power, ship speed and fuel flow, and carries out operational configuration judgement accordingly:
In parked state, engine speed and main engine power should be 0, but in the data of actual acquisition, send out sometimes
Raw data wander, gathered data are not 0 but to be close to 0 value, therefore set main engine power threshold value Plim and engine speed
Threshold value Vlim, when real-time engine speed and the main engine power data of monitoring are respectively less than its threshold value, be determined as parked state.
For ship in motor-driven operational configuration, engine speed and main engine power fluctuation range are larger, to engine speed and host
The monitoring data of power carry out time difference calculating, and set corresponding threshold value, are given when the time difference of engine speed is more than
When determining the time difference of threshold value and main engine power and being more than given threshold value, it is judged as motor-driven operational configuration.
When ship is in constant speed operational configuration, engine speed and main engine power are relatively stable, its time difference is attached 0
Closely, it is judged as constant speed operational configuration accordingly, then fluctuating size according to engine speed is judged as specific any sea situation state, one
Ten kinds of operational configurations of shared 1.0-1.9.Wherein 1.X is represented as constant speed operational configuration, and 1.0 represent the state of stormy waves minimum, host
The fluctuation of speed is minimum, and 1.9 represent the state of stormy waves maximum, and engine speed fluctuation is maximum.When the time difference of engine speed is big
It is operational configuration 1.9 more than or equal to 1.9 and less than 2, other states are with such in being operational configuration 1.1 equal to 1 and less than 1.1
Push away, other operational configurations are not in the range of energy efficiency evaluation.
Since current ship most of time is in reduction of speed navigation, periodically rushed to keep host performance
Car, increases it is characterized in that engine speed (speed of a ship or plane) is periodically regular and then falls to accepted value.As shown in figure 3, rushed
When car judges, engine speed is obtained first, and chooses the common setting speed of ship constant speed navigation.To selected engine speed
Sliding average is calculated, and is made the difference with common setting speed.The rotating speed sequence that difference is more than 2 is extracted, judges whether it is continuous.Such as
Fruit continuity point no more than 3, then it is assumed that be not to rush car state.If continuity point is more than 3, then it is assumed that they are to rush car state, and root
According to the acceleration point sequence respective threshold of setting, judge in the specific stage for rushing car.When rotating speed difference is small more than 2 rotating speed sequence
It is judged as rushing the incipient stage of car state in ten continuity points;When rotating speed sequence of the rotating speed difference more than 2 is more than 110
It is judged as rushing the ending phase of car state during continuity point;When rotating speed sequence length of the rotating speed difference more than 2 is in 11 continuously
When between point and 109 continuity points, it is judged as rushing the interstage of car state.
Step S3:When ship is in constant speed operational configuration, host energy efficiency evaluation is carried out, as shown in Figure 5.
Host energy efficiency state assessment level is established according to history flight number aeronautical data first, as shown in Figure 4.Specific method is
After the completion of upper once navigation, specific operational configuration 1.X is selected;
The corresponding main engine power of operational configuration and fuel consumption data are read from database;
Statistical analysis is carried out to the fuel consumption regularity of distribution under different main engine powers, each main engine power is divided into 5
Separation, and write the result into database;
The data analysis of the specific operational configuration is completed, successively all operational configurations is completed to analyze, is finally completed host
Energy efficiency state assessment level process.
Secondly constant speed operational configuration data are chosen and carry out host energy efficiency evaluation, obtain specific operational configuration fuel flow and master
Acc power monitor value calculates fuel consumption, using 500kW as one group, counts the fuel consumption in the range of main engine power.
Main engine power, fuel consumption and the operational configuration and energy efficiency evaluation criterion monitored when finally current flight carries out
Contrast, reads the assessment parameter under respective hosts power bracket and operational configuration, contrast current fuel consumption rate is in assessment parameter
Between position, generate and export assessment result.
Contrast current fuel consumption rate the position between assess parameter using contain bound, on lower quartile and in
The assessment parameter box figure of digit carries out comparative evaluation, as shown in Figure 6.When current fuel consumption rate is higher than the upper bound 01, then assess
As a result to be abnormal high;When current fuel consumption rate is higher than upper quartile line 02 less than the upper bound 01, then assessment result is height;When
When current fuel consumption rate is in upper quartile line 02 with lower quartile line 04, then assessment result is normal;When current combustion
When specific oil consumption is higher than lower bound 05 less than lower quartile line 04, then assessment result is low;Under current fuel consumption rate is less than
During boundary 05, then assessment result is abnormal low;When current fuel consumption rate is other values, then assessment result is improper, middle position
Number line 03 shows the intermediate value of range of normal value.Above-mentioned assessment result, as shown in table 1, its state value (ANH, H, NH, NL, L, ANL
And NaN) display module can be input to, referred in the form of a web page for crewman.
1 host energy efficiency state character explanation of table
In conclusion the present invention can utilize ship monitoring data, by extracting ship speed, engine speed, host work(
The data characteristics such as rate and fuel consumption, generation ship navigation state judges and host energy efficiency evaluation criterion, is big data technology
In the application of operation of ship management aspect, in fact when assessment result can be used in instructing crewman and Ship Management Co. to be aided in
Decision-making, while ship efficiency can be improved, reduce exhaust emission.It is ship intelligent development and ship efficiency intelligent management
Necessary component.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (9)
1. a kind of ship navigation state judges and energy efficiency state assessment system, it is characterised in that judges including ship navigation state
Module, host energy efficiency evaluation module and display module;
The ship navigation state judgment module reads engine speed, ship speed, main engine power and fuel flow and judges ship
Operational configuration is in parked state or motor-driven operational configuration or constant speed operational configuration or rushes car state;
The host energy efficiency evaluation module according to history flight number aeronautical data establish host energy efficiency state assessment level and in
The marine main engine assessment efficiency of constant speed operational configuration;
Real-time ship navigation state and marine main engine energy efficiency evaluation result are shown to by the display module in the form of a web page
Crewman.
2. a kind of ship navigation state according to claim 1 judges and energy efficiency state assessment system, it is characterised in that institute
The parked state stated refers to that engine speed is less than given threshold value Plim and main engine power is less than given threshold value Vlim.
3. a kind of ship navigation state according to claim 1 judges and energy efficiency state assessment system, it is characterised in that institute
The motor-driven operational configuration stated refers to that the time difference of engine speed is more than given threshold value and the time difference of main engine power is big
In given threshold value.
4. a kind of ship navigation state according to claim 1 judges and energy efficiency state assessment system, it is characterised in that institute
The constant speed operational configuration stated refers to that the time difference of engine speed is less than given threshold value and the time difference of main engine power is small
In given threshold value.
5. a kind of ship navigation state according to claim 4 judges and energy efficiency state assessment system, it is characterised in that institute
The constant speed operational configuration stated fluctuates size according to engine speed and judges sea situation state, ten kinds of sea situation states of shared 1.0-1.9.
6. a kind of ship navigation state according to claim 1 judges and energy efficiency state assessment system, it is characterised in that institute
The car condition adjudgement step of rushing stated includes:
Step S11:Set ship constant speed navigation normal revolution;
Step S12:Sliding average is taken to marine main engine rotating speed, and difference meter is carried out with ship constant speed navigation normal revolution
Calculate, and extract the rotating speed sequence that rotating speed difference is more than 2;
Step S13:When rotating speed sequence of the rotating speed difference more than 2 is more than three continuity points, it is judged as rushing car state, otherwise to be non-
Rush car state;
Step S14:When rotating speed sequence of the rotating speed difference more than 2 is more than the rotating speed sequence of three continuity points and rotating speed difference more than 2
During less than ten continuity points, it is judged as rushing the incipient stage of car state;
Step S15:When rotating speed sequence of the rotating speed difference more than 2 is more than the rotating speed sequence of three continuity points and rotating speed difference more than 2
During more than 110 continuity points, it is judged as rushing the ending phase of car state;
Step S16:When rotating speed sequence of the rotating speed difference more than 2 is more than the rotating speed sequence of three continuity points and rotating speed difference more than 2
When length is between 11 continuity points and 109 continuity points, it is judged as rushing the interstage of car state.
7. a kind of ship navigation state according to claim 1 judges and energy efficiency state assessment system, it is characterised in that institute
Host energy efficiency evaluation is stated to comprise the following steps:
Step S21:Host energy efficiency state assessment level is established according to history flight number aeronautical data;
Step S22:Choose constant speed operational configuration data and carry out host energy efficiency evaluation, obtain specific operational configuration fuel flow and master
Acc power monitor value calculates fuel consumption, using 500kW as one group, counts the fuel consumption in the range of main engine power;
Step S23:Main engine power, fuel consumption and the operational configuration and energy efficiency evaluation criterion monitored during current flight carries out
Contrast, reads the assessment parameter under respective hosts power bracket and operational configuration, contrast current fuel consumption rate is in assessment parameter
Between position, generate and export assessment result.
8. a kind of ship navigation state according to claim 7 judges and energy efficiency state assessment system, it is characterised in that institute
The host energy efficiency state assessment level described in step S21 is stated to comprise the following steps
Step S211:Select specific operational configuration;
Step S212:The corresponding main engine power of operational configuration and fuel consumption data are read from database;
Step S213:Statistical analysis, each main engine power point are carried out to the fuel consumption regularity of distribution under different main engine powers
Into 5 separations, and write the result into database;
Step S214:The data analysis of the specific operational configuration is completed, and the data of next specific operational configuration are analyzed,
Step S211 is returned to, if there is no next specific operational configuration, completes host energy efficiency state assessment level process.
9. a kind of ship navigation state according to claim 7 judges and energy efficiency state assessment system, it is characterised in that institute
State in step S23, position of the contrast current fuel consumption rate between parameter is assessed is used containing bound, upper and lower four
The assessment parameter box figure of quantile and median carries out comparative evaluation, and when current fuel consumption rate is higher than the upper bound, then assessment is tied
Fruit is abnormal high;When current fuel consumption rate is higher than upper quartile line less than the upper bound, then assessment result is height;When current combustion
When specific oil consumption is between upper quartile line and lower quartile line, then assessment result is normal;When current fuel consumes
When rate is higher than lower bound less than lower quartile line, then assessment result is low;When current fuel consumption rate is less than lower bound, then assess
As a result to be abnormal low;When current fuel consumption rate is other values, then assessment result is improper.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4334425A (en) * | 1980-04-18 | 1982-06-15 | Crane Harold E | Ship efficiency analyzer |
CN102768524A (en) * | 2012-08-06 | 2012-11-07 | 长沙绿航节能科技有限公司 | System optimization method and device of ship operation energy efficiency |
CN103324182A (en) * | 2013-06-27 | 2013-09-25 | 上海海事大学 | Ship energy efficiency monitoring system |
CN103345869A (en) * | 2013-06-25 | 2013-10-09 | 武汉理工大学 | Kilowatt-level ship energy system test platform based on composite energy combined grid power generation |
CN104090595A (en) * | 2014-06-24 | 2014-10-08 | 武汉理工大学 | Ship navigational speed optimizing device and method based on main engine energy efficiency and navigation environment |
CN105644735A (en) * | 2016-03-25 | 2016-06-08 | 中国船舶工业系统工程研究院 | Energy efficiency management data acquisition and analysis device oriented to bulk-cargo ship |
-
2017
- 2017-12-01 CN CN201711252246.8A patent/CN108009723A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4334425A (en) * | 1980-04-18 | 1982-06-15 | Crane Harold E | Ship efficiency analyzer |
CN102768524A (en) * | 2012-08-06 | 2012-11-07 | 长沙绿航节能科技有限公司 | System optimization method and device of ship operation energy efficiency |
CN103345869A (en) * | 2013-06-25 | 2013-10-09 | 武汉理工大学 | Kilowatt-level ship energy system test platform based on composite energy combined grid power generation |
CN103324182A (en) * | 2013-06-27 | 2013-09-25 | 上海海事大学 | Ship energy efficiency monitoring system |
CN104090595A (en) * | 2014-06-24 | 2014-10-08 | 武汉理工大学 | Ship navigational speed optimizing device and method based on main engine energy efficiency and navigation environment |
CN105644735A (en) * | 2016-03-25 | 2016-06-08 | 中国船舶工业系统工程研究院 | Energy efficiency management data acquisition and analysis device oriented to bulk-cargo ship |
Non-Patent Citations (2)
Title |
---|
孙峰等: "一种应用数据挖掘技术评估柴油机性能的方法", 《大连海事大学学报》 * |
董建华 等: "船舶状态评估及预算系统", 《中国航海》 * |
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