CN115423176A - Real-time analysis system for ship navigation performance and operating carbon emission optimization method - Google Patents
Real-time analysis system for ship navigation performance and operating carbon emission optimization method Download PDFInfo
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Abstract
The invention discloses a real-time analysis system for ship navigation performance and an operating carbon emission optimization method. The bank server is mainly responsible for downloading, analyzing and transmitting meteorological data. According to the invention, the real-time monitoring of the operation performance of the ship is realized by collecting the navigation data of the ship, the relation between fouling and operation performance of the ship body and the propeller is established, the dock repair time can be accurately obtained, and when the operation performance of the ship is reduced and carbon emission is increased, various measures can be taken to optimize the carbon emission of the ship in operation, so that the operation performance of the ship is improved, the ship can keep a good operation state in the whole service period, and the purposes of energy conservation and emission reduction of the intelligent and low-carbonization ship are realized.
Description
Technical Field
The invention belongs to the technical field of ship energy conservation and emission reduction, and particularly relates to a ship navigation performance analysis system and an operation carbon emission optimization method.
Background
According to the greenhouse gas emission report of the International Maritime Organization (IMO), in 2018, the emission of global carbon dioxide is about 365 hundred million tons, and the emission of shipping industry is about 10 hundred million tons, which accounts for about 2.8%. In order to reduce the influence of greenhouse gas emission on the environment, the requirements for decarbonization of the shipping industry are set by various circles. The IMO Marine Environmental Protection Commission (MEPC) proposed the new shipbuilding vessel energy efficiency index (EEDI) concept, which was formally implemented in 1/2013, and part of the ship-type EEDI Phase3 stage has begun to be applied, while the requirements for the new shipbuilding EEDI Phase 4 are under discussion. In addition, aiming at the current situation of greenhouse gas emission in the ship industry, in 4 months in 2018, IMO passes a preliminary international shipping greenhouse gas strategy, and by taking 2008 carbon emission as a base line, it is clear that the shipping carbon emission intensity is reduced by 40% in 2030, 50% of the total carbon emission amount is reduced in 2050, and 70% of the carbon intensity is reduced. In the face of increasingly severe emission reduction requirements of the shipping industry, the reduction of carbon emission of the ship in the operation stage is not slow. IMO passed the adoption of the ship operation energy efficiency index (CII) as an important index for evaluating the carbon emission of ships, and was officially applied after 1 month and 1 day 2023. In a mandatory CII evaluation system, a ship is divided into five grades of a, B, C, D and E according to the CII calculation result, and the annual evaluation criterion is more and more strict, if the ship is rated as grade D for three consecutive years or rated as grade E for one year, the ship must make a relevant reform plan in the next year to improve the CII grade of the ship, and the plan is included in the ship energy efficiency management plan SEEMP and submitted to the competent authority for checking.
The sailing performance of the ship is related to the energy consumption and carbon emission of the ship, but the ship can be influenced by the environment and the pollution in the real sea area, the real sailing performance of the ship cannot be known in real time, and the operation cost and the carbon emission of the ship with poor sailing performance can be increased inevitably. Fouling of the ship surface, on the other hand, is an important factor affecting the sailing performance of the ship, which adversely affects the CII rating. Although shipping companies currently make a series of maintenance plans, when it is time for proper maintenance, premature or late maintenance can adversely affect the shipping plan, voyage performance, fuel consumption, etc. of the ship. The CII is a carbon emission intensity index of the ship in the whole year, in a current mandatory CII evaluation system, a crew is difficult to know the CII change condition of the ship in the operation process, and measures cannot be taken in advance under the condition that the CII rating is low, so that the grade of the CII is improved. In addition, when the CII level of the ship is low, it is difficult to intuitively evaluate the influence of different energy saving measures on the CII level.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a system for analyzing ship navigation performance in real time and an optimization method for operating carbon emission aiming at the defects of the existing equipment and technology, wherein the system can automatically acquire, process and analyze ship navigation data, thereby realizing real-time monitoring and analysis of the ship navigation performance and reasonably proposing a proposal for repairing a dock. On the basis, the system can monitor the change of the CII of the ship in real time, and under the condition that the CII rating is low, relevant measures are taken in advance to predict the CII rating so as to improve the CII rating of the ship in the whole year. Aiming at the ship with lower CII level, the invention optimizes carbon emission according to the analysis result of ship sailing performance, provides various methods for reducing the carbon emission in ship operation, evaluates the implementation effect of each method, and ensures that the ship can keep a good operation state in the whole service period, thereby realizing the aims of energy conservation and emission reduction of the ship.
The technical scheme is as follows: a real-time analysis system for ship navigation performance comprises a ship-side server and a shore-side server, wherein the ship-side server and the shore-side server can perform bidirectional data interaction through satellite communication equipment;
the ship-side server consists of six modules, namely a data acquisition module, a data processing module, a data analysis module, a data storage module, a navigation performance monitoring module and a meteorological data analysis module; wherein:
the data analysis module comprises ship operation condition analysis, ship operation carbon emission intensity analysis, ship actual performance analysis, ship surface fouling analysis and ship navigation performance prediction;
the data storage module stores analyzed data, and the analyzed data comprises an effective data database, a ship Operation Profile database, a ship actual performance database, a ship speed loss database and a ship Operation performance prediction model;
the navigation performance monitoring module can update the ship Operation Profile in real time through a display interface, monitor the change condition of the carbon emission intensity of the ship Operation and monitor the change condition of the actual performance of the ship;
the bank server is mainly responsible for downloading, analyzing and transmitting meteorological data;
the operation of the real-time analysis system for the ship navigation performance comprises the following steps:
step (1), automatically acquiring ship navigation data: collecting navigation data and cabin data, and storing the data into a database;
processing the acquired data to obtain effective data for navigation performance analysis;
analyzing to obtain an Operation Profile of the ship according to the navigation data;
step (4), calculating the carbon emission intensity of the ship operation, and evaluating the grade of the carbon emission index of the ship; the method comprises the following specific steps: calculating the carbon emission intensity (CII) of the ship operation in a ship-end server, evaluating the CII level of the ship according to the standard requirement of the International Maritime Organization (IMO), and if the CII level is A level, B level or C level, indicating that the CII of the ship meets the requirement of the IMO, continuously monitoring the CII change of the ship by the system at the moment; if the monitored CII level is D level or E level, the system gives an alarm to remind a crew of making corresponding improvement measures so as to improve the CII level of the ship; unless the CII level monitored by the system reaches the C level or above, warning information is continuously popped up among the systems;
wherein, the formula of CII is as follows:
in the formula: i is a different oil product consumed by the ship, fuel i For the consumption of a certain oil, CF i The DWT is the load ton of the ship, and the Distance is the sailing Distance of the ship;
step (5) acquiring meteorological information, and correcting the external force of wind, wave and current received by the ship in the actual sea state to obtain the actual navigation performance of the ship in the current state;
step (6) analyzing fouling of a ship body and a propeller, establishing an internal relation between ship navigation performance and ship fouling, and giving a dock repair suggestion;
and (7) learning and training ship navigation data, predicting ship navigation performance by adopting a mathematical model, and constructing a ship navigation performance prediction model.
Further, in the step (1), navigation data in the ship-side server is automatically acquired mainly through communication navigation equipment, deck equipment and cabin equipment, wherein the data comprises recorded date, ship ground speed, ship water speed, ship position, ship sailing time, ship sailing distance, ship heading angle, wind speed, wind direction, water depth, rudder angle, main engine rotating speed and main engine power, and the acquired data is stored in a database.
Further, the step (2) is that the data in the database is processed in the ship-end server, the acquired data is not continuous or stable due to the randomness and complexity of the environment encountered by the ship in actual navigation, and due to the factors such as equipment, external interference and manual operation, the actual data is often lost, wrong and abnormal; in addition, the ship navigation performance reflects the relation between the input and the output of the ship under the relatively stable condition of the ship, so that when the ship accelerates or decelerates, has large-angle yaw and encounters severe sea conditions, the output of the speed and the host power of the ship cannot reflect the actual navigation performance; therefore, the system processes the received navigation data by utilizing big data technology to form data which can be used for analyzing the navigation performance of the ship and stores the data into the effective data database.
Further, the step (3) is that the data in the database is processed in the ship-side server to obtain the Operation Profile of the ship, including distribution conditions of the draught and the speed, and a summary table is formed and displayed in the system, and the system can update the Operation Profile of the ship in real time according to the change of the navigation data so that the shipowner can know the basic navigation information of the ship.
Further, the step (5) can automatically download the open weather information in the bank server; the acquired navigation data only include the data of wind speed and wind direction, and the wave signals cannot be acquired in a signal acquisition mode; therefore, the system can extract the position information and the time information of ship navigation, automatically download weather files of stormy waves at the same time and position in the network through a program, analyze the weather files, and store the analyzed wave data into a database; the ship-side meteorological data are transmitted to a ship-side server through satellite communication equipment, the known ISO or ITTC method is adopted in the ship-side server to correct the external force of wind, wave and flow on the ship, the host power of the ship under the conditions of no wind, no wave and no flow is obtained, and the host power is stored in a ship navigation performance database.
Further, the step (6) is that in the ship-side server, based on the navigation performance database of the ship, a link between the fouling of the surfaces of the ship body and the propeller and the navigation performance of the ship is established; by setting a corresponding threshold value, if the navigation performance of the ship exceeds a preset threshold value in a performance reduction range after the ship is subjected to dock repair for the last time, the system sends out a warning to remind a crew of the ship to enter the dock for dock repair; if the value of the surface fouling is not exceeded, the system continuously monitors and displays the change of the sailing performance of the ship so as to facilitate a crew to know the change of the fouling on the surface of the ship.
Further, in the step (7), in the ship-side server, a 'regression relearning' method is adopted to train navigation data, and an input and output mathematical prediction model is established, wherein the input parameters of the model mainly comprise wind speed, wind direction, heading angle, bow draught, stern draught, ship ground speed, ship water speed, wave height, wave direction and wave period, and the output parameters are host power or host rotating speed or host oil consumption; the training regression method in the prediction model adopts a neural network model for modeling, so that the relation between the input parameters and the ship navigation performance is constructed, and the prediction of the ship navigation performance is realized; the system displays the prediction result of the sailing performance of the ship in a future period of time so that the sailing performance of the ship can be known by crew members.
A method for optimizing carbon emission in operation of a ship, which can provide a plurality of measures to reduce the intensity of carbon emission in operation of the ship so as to meet the requirement of carbon emission in the ship by the international maritime organization under the condition that the intensity of carbon emission in operation of the ship is increased, wherein the method for optimizing the carbon emission in operation of the ship comprises the following measures:
the first measure is as follows: reducing fouling on the surface of the ship: the dock repair method has the advantages that the dock repair method is used for removing fouling on the surface of a ship body, so that the effect of directly improving the energy efficiency of the ship is achieved; according to the ship surface fouling monitoring system, the fouling condition of the ship surface can be known, and when the fouling of the ship surface is serious, the measure is preferentially selected for energy efficiency optimization; calculating the host power of the ship under the stormy conditions according to the known ITTC or ISO method through the past dock repair experience of the ship, the Operation Profile and meteorological parameters of the ship, further predicting the navigation performance of the ship after the dock repair, and giving the lifting condition of the CII grade of the ship after the dock repair;
the second measure: optimizing the Operation Profile of the ship: predicting the fuel consumption and CII grade of the ship according to the Operation Profile and the navigation performance prediction model of the current ship, applying the relative difference between the predicted value and the actual value to the future energy efficiency prediction of the ship, adopting an optimization algorithm, taking the speed and the draft in the Operation Profile as variables, taking the CII result as an optimization target, finally calculating to obtain the optimized Operation Profile, displaying the optimized result in the system, and adjusting the future speed or loading condition of the ship according to the optimized result by a crew so as to improve the grade of the CII;
taking the third step: optimizing the navigational speed: acquiring meteorological information from a meteorological website according to a planned route in an electronic chart, calculating the influence of wind/wave/flow acting force on a ship on the basis of an actual performance database of the ship, and optimizing the speed of the ship in different time periods by adopting an optimization algorithm, so that the speed distribution condition with higher CII level is obtained, and a crew can adjust the speed according to an optimization result to improve the CII level of the ship in the future;
and step four: optimizing a route: the ship navigation performance database and meteorological information are combined in the electronic chart to optimize the ship route; the optimized course takes the factors of the voyage period, severe weather and fuel consumption of the ship into consideration, an optimization algorithm is adopted, the CII result is taken as an optimization target, the optimal course of the ship is obtained, the navigational speed distribution in each flight segment is given, and a crew can adjust the course and the navigational speed according to the optimization result so as to improve the CII level of the ship in the future.
Further, the energy efficiency takes a ship operation Carbon Intensity Index (CII) as an evaluation standard, once the grading result of the current CII is D grade or E grade, the system automatically pops up warning information and provides four measures for improving the CII grading.
Further, measures for improving the CII level of the ship can be used for listing the method, steps and energy-saving effect of the measures in detail, and a plan for improving the ship energy efficiency can be given in a Ship Energy Efficiency Management Plan (SEEMP).
Has the advantages that: according to the real-time analysis system for the ship navigation performance, the ship energy efficiency data are automatically acquired and integrated, the collected energy efficiency data are processed by adopting a big data technology, effective data which can be used for ship energy efficiency analysis are formed and are applied to the ship energy efficiency analysis, the real-time monitoring of the ship navigation performance and the carbon emission intensity CII is realized, and a measure for improving the CII grade is provided according to the actual performance of the ship, so that the ship always keeps better navigation performance, and the aims of energy conservation and emission reduction are realized.
The system can automatically acquire the ship operation data and automatically process the acquired data to form effective data which can be used for calculating the ship navigation performance, thereby realizing the real-time monitoring of the ship navigation performance. And correcting the environmental factors of the energy efficiency data of the ship by using the processed effective data and the available meteorological data to obtain the actual performance of the ship under the windless, wave-free and flow-free conditions, and comparing the actual performance with the performance of the ship in the latest dock repair to evaluate the fouling condition of the ship. If the actual performance reduction value of the ship exceeds a preset threshold value, the system automatically sends out a warning to remind a crew of performing dock maintenance operation. According to the actual performance of the ship and the meteorological information, the change of the carbon emission of the ship in operation in a future period of time can be predicted. Once the carbon emission of the ship in operation rises, the system provides warning information.
The system provides various measures for reducing the carbon emission in the operation of the ship through an optimization method, a crew can select corresponding measures to optimize, the system automatically provides an optimized result, and the crew can change the operation of the ship according to the optimized result so as to reduce the carbon emission in the operation of the ship in a period of time in the future.
Drawings
FIG. 1 is a schematic view of an operating system of the present invention;
FIG. 2 is a schematic view of a process for reducing fouling on the surface of a ship by the method for optimizing carbon emission in operation according to the present invention;
FIG. 3 is a schematic view of an Operation Profile optimization process of a second vessel in the Operation carbon emission optimization method of the present invention;
FIG. 4 is a schematic view of a three-cruise optimization process of an operating carbon emission optimization method of the present invention;
FIG. 5 is a schematic view of a four-route optimization process of the operating carbon emission optimization method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A real-time analysis system for ship navigation performance is shown in figure 1. The ship-side server comprises a data acquisition module, an energy efficiency data processing module, a data analysis module, a data storage module and a performance monitoring module. The data acquisition module collects ship navigation parameters in real time, and comprises communication navigation equipment which mainly acquires ship speed, ship position, navigation time, navigation distance, heading angle, wind speed, wind direction, water depth, rudder angle and the like; the deck equipment mainly collects loading information such as ship draught and the like; the cabin equipment mainly collects equipment information such as host power, host rotating speed, host oil consumption and the like. The communication interfaces of the devices are converted into uniform interfaces by adopting the serial server, and the uniform interfaces are accessed into a data acquisition network to realize acquisition of ship navigation data and are stored in the ship-side server. The data processing module processes the acquired original data, including processing missing values, abnormal values, ship acceleration/deceleration data, ship large-angle yaw data and severe sea condition data, so as to form effective data for sailing performance analysis, and the effective data is stored in an effective data database. And the data analysis module analyzes the ship navigation performance in real time, including the analysis of the ship operation condition, the analysis of the ship operation carbon emission intensity CII, the analysis of the actual performance of the ship, the analysis of the ship surface fouling and the prediction of the ship navigation performance. The performance monitoring module monitors the analysis result and displays the analysis result in the client. The data storage module stores the analysis result in a data form so as to be convenient for the sailors to check.
The system monitors the change of the CII according to the performance monitoring module, and if the CII is graded as D grade or E grade, the system automatically starts an energy efficiency optimization mode. The system provides four measures for improving the CII grade of the ship according to the ship navigation performance, and the CII is optimized according to the selected measures for reducing the surface fouling of the ship, optimizing the ship Operation Profile, optimizing the speed and optimizing the route respectively, and displaying the optimized result.
The ship end server can extract the time information and the position information of ships in the effective data, and through satellite communication equipment, sends the navigation time and the position data to the bank end, and the bank end server downloads the appointed meteorological file on the open meteorological website according to the received data, and the input parameters include: the system automatically downloads the meteorological files, analyzes the downloaded meteorological files, and finally extracts the wind and wave data at the same time and position to form a meteorological database. The weather database is also transmitted to the ship-side server via the satellite device.
Referring to FIG. 2, the carbon emissions optimization method of the present invention, a process for reducing surface fouling to increase CII rating, is shown.
And based on the effective data database, extracting the position and time information of the ship, and sending the extracted data to a shore-side server. The bank-end server automatically downloads local weather information of the designated ship position and time from the weather website, analyzes the weather information through related programs, extracts wave data of the designated ship position and time, and stores the wave data into the weather database. And sending the weather database to a ship-side server, and updating a ship-side effective data database. And correcting environmental factors such as stormy waves and currents by a known ISO or ITTC method to obtain the actual performance of the ship at the current stage. And obtaining the variation of the actual performance of the ship, such as speed loss or power increase, by comparing the latest dock repair performance of the ship. Further supposing that the performance after the dock repair can be improved to the performance of the last ship in the dock repair, so as to predict the CII result of the ship in the current dock repair, and if the CII level requirement is met, a dock repair suggestion is given; if the requirements cannot be met, other methods are suggested to increase the CII rating.
Referring to fig. 3, the Operation Profile of the second measure of the carbon emission optimization method of the present invention is an optimization process of CII using the Operation Profile of the ship.
The optimization process comprises two parts, and firstly, the ship performance is predicted by adopting a machine learning method. According to the effective data of the ship, input parameters and output parameters are specified in a machine learning program, wherein the input parameters comprise but are not limited to parameters such as ship draught, ship speed, heading angle and meteorological information; the output parameters comprise the power of the host machine or the revolution number of the host machine or the oil consumption of the host machine, and one of the three parameters is selected optionally, and the three parameters depend on an objective function to be learned. And calculating an error gradient according to the error between the predicted data in the neural network and the actual target output, verifying the error, continuously comparing the error between the predicted data and the target output if the error continuously decreases, and stopping learning if the error starts to increase to obtain a ship performance prediction model.
The second part is that according to the Operation Profile and a ship performance prediction model, the CII grade of the ship is calculated, if the CII requirement is not met, the speed and the draft parameters are adjusted, the Operation Profile of the ship is recalculated, and the ship performance and the CII grade are predicted; and if the requirements of the CII are met, stopping optimization, outputting the optimized Operation Profile at the display client side, and calculating the optimized CII result.
Referring to fig. 4, a third measure of the optimization method for carbon emission in operation of the present invention is an optimization process of CII by using cruise optimization, which can be divided into the following steps:
step 1, dividing different flight sections according to a planned flight path, and initializing the speed in each flight section;
step 2, calculating the time and the position of the ship reaching each navigation section through the initial navigation speed in each navigation section, downloading a predicted meteorological file on a meteorological website according to the two information, and analyzing and extracting meteorological data;
step 3, on the basis of the actual performance of the ship, the influence of environmental factors such as wind, wave and flow is superposed, and the host power of the ship in the real sea area is calculated according to the known ITTC or ISO method;
step 4, acquiring fuel consumption of the ship through the inherent power and fuel consumption relation of the host, and automatically calculating the CII grade of the ship according to parameters such as the sailing distance;
step 5, if the calculated CII grade does not meet the CII requirement, changing the navigational speed of each navigation section, and repeating the steps 2-4;
step 6, if the requirement of the CII is met, judging whether the requirement of the preset navigation time is met, and if the requirement of the CII is not met, repeating the steps 2-5; and if so, ending the optimization, and displaying the optimized speed distribution and the predicted CII result.
Referring to fig. 5, the optimization process of CII by using route optimization according to the fourth measure of the method for optimizing carbon emission in operation of the present invention can be divided into the following steps:
step 1, generating a sea area for navigation according to effective data, meteorological data and chart data, wherein submerged reefs, lands and severe sea condition areas do not belong to the navigable sea area;
step 2, setting a starting point and an end point of the air route, generating an air route set, and configuring the air speed;
step 3, judging whether the route set is an empty set, if the route set is the empty set, the route cannot be generated, and if the route set is not the empty set, traversing the adjacent points of the calculated route points;
step 4, updating meteorological information according to the navigational speed and the position of the adjacent point, calculating the subsequent consumption from the adjacent point to the calculation point, and finding out a point n with the minimum fuel consumption;
step 5, judging whether the airline point n is in the original airline set, if so, taking the point in the original airline set as the next airline point; if not, adding the point in the route set, and taking the point as the next route point;
step 6, calculating the CII value of the whole route until the end point is calculated;
and 7, judging whether the CII meets the requirements, if so, stopping optimization, displaying the optimized air route, the optimized air speed and the predicted CII result, if not, reconfiguring the air speed, and repeating the steps 2-6.
According to the ship navigation performance real-time analysis system and the operation carbon emission optimization method, the ship navigation performance can be monitored, predicted and optimized in real time only through the navigation data and the meteorological information of the ship without modifying ship hardware and the like, the cost is low, and energy conservation and emission reduction of the ship are realized. The system can automatically acquire signals on the ship, transmit data at the ship shore, download, analyze and extract meteorological information, monitor, forecast and automatically optimize the ship navigation performance in real time, is simple and convenient to operate, can realize the monitoring, forecast and optimization of the ship performance by a crew only needing some basic computer operations, can enable the ship to meet the increasingly severe emission reduction requirements, and simultaneously realizes the energy-saving effect of the ship.
As described above, the technical contents and features of the present invention are disclosed, but not limited to the present invention, and those skilled in the art can make various changes or modifications to the equivalent embodiments without departing from the scope of the present invention, and any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention shall fall within the scope of the present invention.
Claims (10)
1. A real-time analysis system for ship navigation performance is characterized in that: the system comprises a ship-side server and a bank-side server, wherein the ship-side server and the bank-side server can perform bidirectional data interaction through satellite communication equipment;
the ship-side server consists of six modules, namely a data acquisition module, a data processing module, a data analysis module, a data storage module, a navigation performance monitoring module and a meteorological data analysis module; wherein:
the data analysis module comprises ship operation condition analysis, ship operation carbon emission intensity analysis, ship actual performance analysis, ship surface fouling analysis and ship navigation performance prediction;
the data storage module stores analyzed data, and the analyzed data comprises an effective data database, a ship Operation Profile database, a ship actual performance database, a ship speed loss database and a ship Operation performance prediction model;
the navigation performance monitoring module can update the ship Operation Profile in real time through a display interface, monitor the change condition of the carbon emission intensity of the ship Operation and monitor the change condition of the actual performance of the ship;
the bank server is mainly responsible for downloading, analyzing and transmitting meteorological data;
the operation of the real-time analysis system for the ship navigation performance comprises the following steps:
step (1), automatically acquiring ship navigation data: collecting navigation data and cabin data, and storing the data in a database;
processing the acquired data to obtain effective data which can be used for navigation performance analysis;
analyzing to obtain an Operation Profile of the ship according to the navigation data;
step (4), calculating the carbon emission intensity of the ship operation, and evaluating the grade of the carbon emission index of the ship; the method comprises the following specific steps: calculating the carbon emission intensity (CII) of the ship operation in a ship-end server, evaluating the CII level of the ship according to the standard requirement of the International Maritime Organization (IMO), and if the CII level is A level, B level or C level, indicating that the CII of the ship meets the requirement of the IMO, continuously monitoring the CII change of the ship by the system at the moment; if the monitored CII level is D level or E level, the system gives an alarm to remind a crew of making corresponding improvement measures so as to improve the CII level of the ship; unless the CII level monitored by the system reaches the C level or above, warning information is continuously popped up among the systems;
wherein, the formula of CII is as follows:
in the formula: i is different oil products consumed by ships, fuel i CF is the consumption of an oil i The carbon conversion coefficient of a certain oil product, DWT is the load ton of the ship, and Distance is the sailing Distance of the ship;
step (5) acquiring meteorological information, and correcting the external force of wind, wave and current received by the ship in the actual sea state to obtain the actual navigation performance of the ship in the current state;
step (6) analyzing fouling of a ship body and a propeller, establishing an internal relation between ship navigation performance and ship fouling, and giving a dock repair suggestion;
and (7) learning and training ship navigation data, predicting ship navigation performance by adopting a mathematical model, and constructing a ship navigation performance prediction model.
2. The system for real-time analysis of the voyage performance of a ship according to claim 1, wherein: and (2) in the step (1), navigation data in a ship-end server is automatically acquired mainly through communication navigation equipment, deck equipment and cabin equipment, wherein the data comprises recorded date, ship ground speed, ship water speed, ship position, ship navigation time, ship navigation distance, ship heading angle, wind speed, wind direction, water depth, rudder angle, host rotating speed and host power, and the acquired data is stored in a database.
3. The system for real-time analysis of the voyage performance of a ship according to claim 1, wherein: the step (2) is that the data in the database is processed in the ship-end server, the acquired data is not continuous or stable due to the randomness and complexity of the environment encountered by the ship in actual navigation, and the actual data is lost, wrong, abnormal and the like due to factors such as equipment, external interference, manual operation and the like; in addition, the ship navigation performance reflects the relation between the input and the output of the ship under the relatively stable condition of the ship, so that when the ship accelerates or decelerates, has large-angle yaw and encounters severe sea conditions, the output of the speed and the host power of the ship cannot reflect the actual navigation performance; therefore, the system processes the received navigation data by utilizing big data technology to form data which can be used for analyzing the navigation performance of the ship and stores the data into the effective data database.
4. The system for real-time analysis of the voyage performance of a ship according to claim 1, wherein: and (3) processing the data in the database in the ship-end server to obtain an Operation Profile of the ship, including distribution conditions of the water intake and the speed, and forming a summary table to be displayed in the system, wherein the system can update the Operation Profile of the ship in real time according to the change of the navigation data so that a shipowner can know the basic navigation information of the ship.
5. The system for real-time analysis of the voyage performance of a ship according to claim 1, wherein: the step (5) can automatically download open meteorological information in a bank-end server; the acquired navigation data only include the data of wind speed and wind direction, and the wave signals cannot be acquired in a signal acquisition mode; therefore, the system can extract the position information and the time information of the ship navigation, automatically download weather files of stormy waves at the same time and position in a network through a program, analyze the weather files, and store the analyzed wave data into a database; the ship-side meteorological data are transmitted to a ship-side server through satellite communication equipment, the known ISO or ITTC method is adopted in the ship-side server to correct the external force of wind, wave and flow on the ship, the host power of the ship under the conditions of no wind, no wave and no flow is obtained, and the host power is stored in a ship navigation performance database.
6. The system for real-time analysis of the voyage performance of a ship according to claim 1, wherein: in the step (6), establishing a relation between the surface fouling of the ship body and the propeller and the ship navigation performance based on the ship navigation performance database in the ship-side server; by setting a corresponding threshold value, if the navigation performance of the ship exceeds a preset threshold value in a performance reduction range after the ship is subjected to dock repair for the last time, the system sends out a warning to remind a crew of the ship to enter the dock for dock repair; if the value of the surface fouling is not exceeded, the system continuously monitors and displays the change of the sailing performance of the ship so as to facilitate a crew to know the change of the fouling on the surface of the ship.
7. The real-time ship voyage performance analysis system according to claim 1, wherein: in the step (7), in the ship-end server, a 'regression relearning' method is adopted to train navigation data, a mathematical prediction model of input and output is established, the input parameters of the model mainly comprise wind speed, wind direction, heading angle, bow draught, stern draught, ship ground speed, ship water speed, wave height, wave direction and wave period, and the output parameters are host power or host rotating speed or host oil consumption; the training regression method in the prediction model adopts a neural network model for modeling, so that the relation between the input parameters and the ship navigation performance is constructed, and the prediction of the ship navigation performance is realized; the system displays the prediction result of the sailing performance of the ship in a future period of time so that the sailing performance of the ship can be known by crew members.
8. A carbon emission optimization method for ship operation is characterized by comprising the following steps: the operating carbon emission optimization method can provide various measures to reduce the operating carbon emission intensity of the ship under the condition that the carbon emission intensity of the ship rises so as to meet the requirement of the international maritime organization on the carbon emission of the ship, and comprises the following measures:
the first measure is as follows: reducing the fouling of the surface of the ship: the dock repair method is used for removing the fouling on the surface of the ship body, so that the effect of directly improving the energy efficiency of the ship is achieved; according to the ship surface fouling monitoring system, the fouling condition of the ship surface can be known, and when the fouling of the ship surface is serious, the measure is preferentially selected for energy efficiency optimization; calculating the host power of the ship under the stormy conditions according to the known ITTC or ISO method through the past dock repair experience of the ship, the Operation Profile and meteorological parameters of the ship, further predicting the navigation performance of the ship after the dock repair, and giving the CII grade lifting condition of the ship after the dock repair;
the second measure: optimizing the Operation Profile of the ship: predicting the fuel consumption and CII grade of the ship according to the Operation Profile and the navigation performance prediction model of the current ship, applying the relative difference between the predicted value and the actual value to the future energy efficiency prediction of the ship, adopting an optimization algorithm, taking the speed and the draft in the Operation Profile as variables, taking the CII result as an optimization target, finally calculating to obtain the optimized Operation Profile, displaying the optimized result in the system, and adjusting the future speed or loading condition of the ship according to the optimized result by a crew so as to improve the grade of the CII;
taking the third step: optimizing the navigational speed: acquiring meteorological information from a meteorological website according to a planned route in an electronic chart, calculating the influence of wind/wave/flow acting force on a ship on the basis of an actual performance database of the ship, and optimizing the speed of the ship in different time periods by adopting an optimization algorithm, so that the speed distribution condition with higher CII level is obtained, and a crew can adjust the speed according to an optimization result to improve the CII level of the ship in the future;
and step four: optimizing a route: the ship navigation performance database and meteorological information are combined in the electronic chart to optimize the ship route; the optimized course takes the factors of the voyage period, severe weather and fuel consumption of the ship into consideration, an optimization algorithm is adopted, the CII result is taken as an optimization target, the optimal course of the ship is obtained, the speed distribution in each flight segment is given, and a crew can adjust the course and the speed according to the optimization result so as to improve the CII level of the ship in the future.
9. The method for optimizing carbon emissions for ship operations according to claim 8, wherein: the energy efficiency takes a ship operation Carbon Intensity Index (CII) as an evaluation standard, once the grading result of the current CII is D-grade or E-grade, the system automatically pops up warning information and provides four measures for improving the CII grading.
10. The method for optimizing carbon emissions for ship operations according to claim 8, wherein: the measures for improving the CII level of the ship can be used for listing the method, the steps and the energy-saving effect of the adopted measures in detail, and can be used for providing a plan for improving the ship energy efficiency in a Ship Energy Efficiency Management Plan (SEEMP).
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116542510A (en) * | 2023-07-05 | 2023-08-04 | 江苏航运职业技术学院 | Optimal configuration method for ship electrical debugging process |
| CN117452923A (en) * | 2023-12-22 | 2024-01-26 | 广州奕极机电科技有限公司 | Ship energy-saving control system based on big data analysis |
| CN117521947A (en) * | 2023-10-25 | 2024-02-06 | 上海交通大学 | Hybrid power ship energy efficiency ratio optimization method, system, medium and equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116542510A (en) * | 2023-07-05 | 2023-08-04 | 江苏航运职业技术学院 | Optimal configuration method for ship electrical debugging process |
| CN116542510B (en) * | 2023-07-05 | 2023-10-13 | 江苏航运职业技术学院 | Optimal configuration method for ship electrical debugging process |
| CN117521947A (en) * | 2023-10-25 | 2024-02-06 | 上海交通大学 | Hybrid power ship energy efficiency ratio optimization method, system, medium and equipment |
| CN117521947B (en) * | 2023-10-25 | 2024-04-30 | 上海交通大学 | Hybrid power ship energy efficiency ratio optimization method, system, medium and equipment |
| CN117452923A (en) * | 2023-12-22 | 2024-01-26 | 广州奕极机电科技有限公司 | Ship energy-saving control system based on big data analysis |
| CN117452923B (en) * | 2023-12-22 | 2024-03-26 | 广州奕极机电科技有限公司 | Ship energy-saving control system based on big data analysis |
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