Intelligent ship energy efficiency management three-dimensional simulation teaching and practical training system

Abstract

The embodiment of the invention discloses an intelligent ship energy efficiency management three-dimensional simulation teaching and practical training system, and the system comprises a task scene creation unit which can generate a plurality of intelligent ship energy efficiency management operation scenes, and the types of the intelligent ship energy efficiency management operation scenes comprise a ship operation scene and an energy efficiency optimization scene; the ship energy efficiency management teaching unit can provide a content creation / modification process of a teaching selected task for a teacher and publish the content creation / modification process to a client in real time, so that students can carry out online practical training after identity authentication is passed; the ship energy efficiency management autonomous training unit can provide a corresponding operation practice process in an intelligent ship energy efficiency management operation scene for a user based on a virtual reality technology, and performs ship energy efficiency management effect evaluation on a current operation process; and the ship energy efficiency management cooperative training unit can realize that a plurality of users perform energy efficiency management tasks at the same time. According to the invention, systematized and specialized practical operation training of student energy efficiency management is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent teaching and training for ship energy efficiency management, and in particular to a three-dimensional simulation teaching and training system for intelligent ship energy efficiency management. Background Art

[0002] With increasingly stringent environmental protection requirements and the introduction and implementation of relevant policies, shipping companies, in order to achieve the goal of energy conservation and emission reduction in operating ships, generally achieve energy conservation and emission reduction through energy efficiency management measures such as optimizing the energy consumption of the entire ship and improving the operating efficiency of the power system. The intelligent energy efficiency management system it carries can monitor, collect, transmit, and access ship energy efficiency data, and assist in decision-making, optimize the energy efficiency level of ships, and can well meet the requirements of the transformation and upgrading of the shipping industry.

[0003] However, in addition to the need for further continuous development and optimization of the intelligent energy efficiency management system, in order to ensure that the intelligent energy efficiency management system maintains efficient operation, professional technicians are also required to be able to accurately use the intelligent energy efficiency management system. However, the current dilemma is that in the training / cultivation process of relevant technical personnel, due to limitations in venues, equipment, conditions and other aspects, on-site teaching has many inconveniences and poor results; even if there are some energy efficiency management teaching and training systems, although they have alleviated the training difficulties to a certain extent, there are still some shortcomings, such as the lack of real scene simulation. Although some training systems try to simulate the actual working environment, these simulations often cannot fully reproduce the complex situations in the real world and lack interactivity, and lack sufficient interactive links; for example, personalized teaching resources are limited: each student's basic level and ability are different, but the existing training systems often provide standardized teaching content, which is difficult to meet the personalized needs of all students.

[0004] To sum up, the existing training systems are unable to explain energy efficiency management knowledge and train relevant personnel on the use of energy efficiency management systems, resulting in the inability of relevant personnel to accurately use the intelligent energy efficiency management system in actual operations, causing problems such as poor optimization effects and unclear energy conservation and emission reduction. Summary of the invention

[0005] Based on this, the present invention provides a three-dimensional simulation teaching and training system for energy efficiency management of intelligent ships, aiming to solve the problem that there is currently a lack of teaching and training systems for energy efficiency management, which leads to the inability of relevant personnel to accurately use the intelligent energy efficiency management system in actual operations.

[0006] In order to achieve the above object, the technical solution of the present invention is:

[0007] A three-dimensional simulation teaching and training system for intelligent ship energy efficiency management, characterized by comprising:

[0008] A task scenario creation unit, which can generate a variety of smart ship energy efficiency management operation scenarios, the types of which include but are not limited to ship operation scenarios and energy efficiency optimization scenarios; the ship operation scenarios include navigation scenarios, centralized control room scenarios, bridge scenarios, and power plant scenarios;

[0009] Ship Energy Efficiency Management Teaching Unit, which can provide a teaching interface, provide teachers with the content creation / modification process of teaching selected tasks and publish them to the client in real time, so that students can conduct online training after passing identity authentication;

[0010] Ship energy efficiency management autonomous training unit, which can provide users with corresponding operation practice procedures in intelligent ship energy efficiency management operation scenarios based on virtual reality technology and according to the task type selected by the user, and evaluate the ship energy efficiency management effect of the current operation process. The task types include but are not limited to the teaching selected tasks and autonomously selected tasks. The autonomously selected tasks are tasks that have not passed the ship energy efficiency management effect evaluation;

[0011] Ship energy efficiency management collaborative training unit, which enables multiple users to perform energy efficiency management tasks simultaneously.

[0012] Optionally, in one of the embodiments, the ship energy efficiency management autonomous training unit includes an energy efficiency monitoring subunit, an energy efficiency optimization subunit, and an energy efficiency evaluation subunit;

[0013] The energy efficiency monitoring subunit can display navigation information and energy efficiency optimization information in real time through the monitoring interface, and provide users with operation practice procedures under corresponding smart ship energy efficiency management operation scenarios according to the information selected by the user on the monitoring interface. The navigation information includes the navigation status of the ship and the navigation environment information.

[0014] The energy efficiency optimization subunit can provide the user with an energy efficiency optimization training process when the information selected by the user is energy efficiency optimization information. The energy efficiency optimization training process is guided and trained in a teaching display mode in which the system prompts step by step and the user selects in sequence. The energy efficiency optimization training process at least includes a data extraction step, a flight segment division step, a prediction algorithm and energy efficiency prediction step, an energy efficiency optimization method step, an optimization algorithm and a dynamic optimization step, and an energy efficiency optimization control step;

[0015] The energy efficiency evaluation subunit can evaluate the energy efficiency status of the ship after energy efficiency optimization to obtain the ship energy efficiency management effect.

[0016] Optionally, in one of the embodiments, the energy efficiency monitoring subunit includes a monitoring interface component and a virtual scene switching component;

[0017] Among them, the monitoring interface component can provide users with a virtual scene display monitoring interface, display navigation information and energy efficiency optimization information in real time, obtain the user's point selection operation on the current display interface, that is, the information selected by the user on the monitoring interface; at the same time, the relevant annotation learning information is synchronously displayed at the location selected by the user;

[0018] The virtual scene switching component can enter different smart ship energy efficiency management operation scenes based on the point selection operation, and provide users with corresponding operation practice processes so that users can view the operating status, energy efficiency and operation parameters of the energy efficiency equipment involved in the current scene in an orderly manner according to the system prompts in the three-dimensional virtual scene.

[0019] Optionally, in one of the embodiments, the energy efficiency prediction algorithms involved in the step of selecting the prediction algorithm and the energy efficiency prediction step include but are not limited to BP neural network, DBN neural network, KNN algorithm, decision tree and support vector machine;

[0020] Optionally, in one embodiment, the optimization method in the step of selecting the energy efficiency optimization method includes a speed optimization method, a route optimization method, and a multi-source collaborative optimization method. The optimization algorithm in the step of selecting the optimization algorithm and the dynamic optimization step includes a particle swarm optimization algorithm, a genetic algorithm, a whale algorithm, a gray wolf algorithm, or an ant colony algorithm, that is, through any of the algorithms based on the results of the ship energy efficiency analysis and the results of the navigation environment analysis, with the goal of minimizing energy consumption, and under the conditions of satisfying the constraints related to the ship's navigation, the optimal route and speed data of the ship are decided.

[0021] Optionally, in one embodiment, the optimization control in the energy efficiency optimization control step includes main engine speed control operation, steering gear rudder angle control operation, and generator control operation.

[0022] Optionally, in one of the embodiments, the energy efficiency status evaluation includes speed optimization effect evaluation, route optimization effect evaluation, and multi-source collaborative optimization effect evaluation.

[0023] Implementing the embodiments of the present invention will have the following beneficial effects:

[0024] The present invention uses three-dimensional virtual scene modeling technology to provide users with stereoscopic display and immersive interactive experience; it can also carry out practical training of ship energy efficiency management personnel in different operation scenarios, realize systematic and professional practical training of energy efficiency management students, and effectively improve students' energy efficiency management skills and level. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] in:

[0027] Figure 1 It is a structural schematic diagram of the three-dimensional simulation teaching and training system for energy efficiency management of intelligent ships according to the present invention;

[0028] Figure 2 It is a navigation scene diagram in the three-dimensional simulation teaching and training system for energy efficiency management of intelligent ships of the present invention;

[0029] Figure 3 It is a scene diagram of the bridge in the three-dimensional simulation teaching and training system for energy efficiency management of intelligent ships of the present invention;

[0030] Figure 4 This is a scene diagram of energy efficiency optimization in the three-dimensional simulation teaching and training system for energy efficiency management of intelligent ships of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art of the technical field of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. It is understood that the terms "first", "second", etc. used in the present invention can be used to describe various elements in this article, but these elements are not limited by these terms. These terms are only used to distinguish the first element from another element. For example, without departing from the scope of the present application, the first element can be referred to as the second element, and similarly, the second element can be the first element. Both the first element and the second element are elements, but they are not the same element.

[0033] In this embodiment, if Figure 1 As shown, a three-dimensional simulation teaching and training system for intelligent ship energy efficiency management is proposed, which is characterized by including:

[0034] A task scenario creation unit, which can generate a variety of smart ship energy efficiency management operation scenarios, the types of which include but are not limited to ship operation scenarios and energy efficiency optimization scenarios; the ship operation scenarios include navigation scenarios, centralized control room scenarios, bridge scenarios, and power plant scenarios;

[0035] Ship Energy Efficiency Management Teaching Unit, which can provide a teaching interface, provide teachers with the content creation / modification process of teaching selected tasks and publish them to the client in real time, so that students can conduct online training after passing identity authentication;

[0036] Ship energy efficiency management autonomous training unit, which can provide users with corresponding operation practice procedures in intelligent ship energy efficiency management operation scenarios based on virtual reality technology and according to the task type selected by the user, and evaluate the ship energy efficiency management effect of the current operation process. The task types include but are not limited to the teaching selected tasks and autonomously selected tasks. The autonomously selected tasks are a set of tasks that have not passed the ship energy efficiency management effect evaluation;

[0037] The ship energy efficiency management collaborative training unit enables multiple users to perform energy efficiency management tasks simultaneously, so as to collaboratively complete the ship energy efficiency management effect evaluation according to different energy efficiency management allocation requirements.

[0038] Based on the above design, it can be seen that the system of the present invention can carry out systematic and professional practical training for ship energy efficiency management personnel in different operation scenarios through the coordinated cooperation of the task scenario creation unit, the ship energy efficiency management teaching unit, the ship energy efficiency management autonomous training unit and the ship energy efficiency management collaborative training unit, which can significantly improve students' energy efficiency management skills and levels, thereby solving the technical problems of high cost and poor execution effect of actual ship operation training.

[0039] In some specific embodiments, the smart ship energy efficiency management operation scenario generated in the task scenario creation unit is determined based on the job task characteristics required for smart ship energy efficiency management, and based on the three-dimensional virtual modeling technology, a corresponding three-dimensional virtual scene model is provided for each smart ship energy efficiency management operation scenario, thereby providing an immersive interactive experience for each student; wherein the navigation scene includes models of hull, propeller, deck, rudder, ocean, sky, etc., to build a real navigation environment for students; the control room scene includes models of control console, distribution board, instrument panel, vehicle type, etc., to build a real control room scene for students; the bridge scene includes control room, driving platform, etc. The models of control console, steering instrument, radar, car clock, etc. are used to build a real bridge scene for students; the power plant scene includes models of ship main engine, transmission equipment, propeller, shaft system, generator set, etc., to build a real power equipment scene for students; the energy efficiency optimization scene includes a variety of virtual interfaces, such as data entry, energy efficiency monitoring, energy efficiency optimization and energy efficiency evaluation, so as to build a real ship energy efficiency management system for users. Setting the above scenarios is the basis for designing independent training in energy efficiency management. The database entry interface is used to enter information such as ships, sections and voyages, the energy efficiency monitoring interface is used for energy efficiency monitoring training, and the energy efficiency optimization and evaluation interface is used for optimization and evaluation training.

[0040] In some specific embodiments, the ship energy efficiency management teaching module includes a teacher end and a student end. The teacher end can provide a teaching interface for teacher users, provide teachers with a teaching task content creation / modification process and publish it to the client in real time. For example, the teacher can create a simulation training question bank corresponding to the corresponding teaching task according to the teaching content in the teaching interface (set according to different operation scenarios), and publish it to the client through the server; the client can authenticate the student's identity and provide the student with an online training process after the authentication is passed; the online training process includes learning tasks and practice tasks, and the content of the learning tasks includes the composition of ship energy efficiency management equipment, the operation of ship energy efficiency management equipment, the principle of ship energy efficiency management, and ship energy Energy efficiency optimization process and content, ship energy efficiency optimization method and content, ship energy efficiency dynamic monitoring, energy efficiency status evaluation, etc.; the content of the practice tasks includes the operation of ship energy efficiency management equipment, ship energy efficiency optimization process and content, ship energy efficiency optimization method and content, daily ship energy efficiency monitoring and evaluation; among them, ship energy efficiency optimization methods include speed optimization, route optimization, and multi-source collaborative optimization; preferably, the teaching content of the online training process is based on virtual reality interaction technology, and the teaching training is carried out in a combination of the two-dimensional interface, three-dimensional model and intelligent ship energy efficiency management operation scene generated in the task scene creation unit, forming virtual reality interaction, and students interact with virtual scenes to improve their learning interest and participation.

[0041] In some more specific embodiments, the objects of the learning / exercise tasks on the composition of ship energy efficiency management equipment include equipment such as meteorological instruments, depth sounders, GPS, flow meters, diesel generators, and switchboards, so as to display information such as the composition and functions of each device in the smart ship energy efficiency management operation scenario;

[0042] The learning tasks on the operation of ship energy efficiency management equipment include the automatic parallel operation process of the generator, the load transfer operation process, the decoupling operation process, etc., so that students can master the corresponding professional knowledge and skills through the intelligent ship energy efficiency management operation scenario. Although these operation processes can be automatically executed by the ship's automatic control system, students also need to have relevant knowledge and skills to intervene or deal with abnormal situations when necessary.

[0043] The learning tasks on the principles of ship energy efficiency management include policies and regulations, the energy transfer process of electric propulsion ships, etc., where the policies and regulations refer to the standards and guidelines on ship energy efficiency formulated by the International Maritime Organization (IMO) and regulatory agencies of other countries and regions, such as Annex VI of the International Convention for the Prevention of Pollution from Ships (MARPOL) and the Carbon Intensity Index (CII). The energy transfer process of electric propulsion ships includes the energy generation process, energy distribution process, and energy consumption process, so as to realize the learning of the whole process of ship energy transfer. Then, from multiple perspectives such as policy and regulatory support and energy transfer process analysis, the effect of skill training can be jointly improved.

[0044] The content of the learning / practice tasks on the ship energy efficiency optimization process includes the display of the steps of the ship energy efficiency optimization process and the specific steps, such as, step 1, data collection: including collecting and displaying energy efficiency data such as wind speed, wind direction, wave height, fuel consumption, etc.; step 2, segment division: based on the historical data of the actual ship, the K-means clustering algorithm is used to establish a sea condition category recognition library, and the K-nearest neighbor classification algorithm is used to realize the recognition of sea conditions, so as to divide the target route into segments with similar sea conditions and display them; step 3, ship energy efficiency prediction: obtain the ship fuel consumption and its The actual ship data of the influencing factors are collected, and the system's built-in data-driven machine learning algorithm is used to train a ship operation energy efficiency prediction model with excellent prediction performance and display it; Step 4, dynamic optimization: by analyzing the ship resistance characteristics under different navigation conditions and the energy transfer relationship of the ship propulsion system, a ship energy efficiency optimization model considering multiple environmental factors is established, with the goal of minimizing the fuel consumption of the smart ship. Under the conditions of meeting the relevant constraints of ship navigation, the optimal route and speed of the ship are decided and displayed; Step 5, display of optimization results: the results of the segment division and the optimal speed obtained by dynamic optimization are comprehensively displayed in the energy efficiency management interface.

[0045] The ship energy efficiency optimization method used in the ship energy efficiency optimization model mentioned above can be optimized in a variety of ways, so that students can more systematically understand the optimization effect that can be achieved by performing corresponding optimization in each three-dimensional virtual scene; the ship energy efficiency optimization methods include speed optimization, route optimization, and multi-source collaborative optimization;

[0046] The speed optimization mentioned above mainly involves understanding the parameters and speed optimization model involved in speed optimization, including the optimal speed of the propulsion motor and the optimal speed of the ship. The ship speed optimization model takes the total fuel consumption of the ship voyage as the objective function, the total voyage distance, total sailing time and propulsion motor speed as constraints, and the ship speed corresponding to each section as the optimization variable, which is expressed as:

[0047]

[0048] v min <v i <v max ,i=(1,…,n); (3)

[0049]

[0050] n min <n e ≤n max ; (5)

[0051] In formulas (1) to (5): Q Total Indicates the total fuel consumption of the ship's voyage; n indicates the number of voyage segments; v1, v2, v3…v n Indicates the sailing speed of the ship in different sections; g ew is the fuel consumption rate of the ship's main engine; P ew is the output power of the ship's main engine; T ew Indicates the sailing time of the ship in each section; L i Indicates the sailing distance of each segment; L0 indicates the total sailing distance of the target route; T0 indicates the total sailing time of the ship; n e is the host speed.

[0052] The route optimization mainly understands the generation of the best navigation path for ships and the route optimization model. The ship route optimization model takes the total fuel consumption of the voyage as the objective function, the navigation time and navigation speed as the constraints, and the navigation position as the optimization variable, which is expressed as:

[0053]

[0054] q=f(V,V wind ,h,g e ); (7)

[0055]

[0056] P i (x i , y i )≠P i0 (x i0 , y i0 ); (10)

[0057] V min <V<V max ; (11)

[0058] n min <n j ≤n max ; (12)

[0059] In formulas (6) to (12): Q total represents the total fuel consumption of the ship voyage; n represents the number of segments of the optimized route; j represents the jth segment; q j S represents the fuel consumption per unit distance of the ship in the jth voyage segment; j represents the distance of the jth leg; V represents the ship speed; V wind represents the wind speed on the route; h represents the wave height; g e Indicates the main engine fuel consumption rate; S i,i+1 Indicates the sailing distance between adjacent locations; x refers to the latitude value; y refers to the longitude value; R represents the radius of the earth; T limit Indicates the flight period; P i (x i ,y i ) indicates the position of the ship; P i0 (x i0 ,y i0 ) indicates land and islands and other areas that cannot be navigated; n indicates the speed of the diesel engine;

[0060] The multi-source collaborative optimization mainly studies the collaborative optimization strategy and multi-source collaborative optimization model of ship speed and route under the synergistic effect of multiple navigation environment factors. The multi-source collaborative optimization model of ship operation energy efficiency takes the total fuel consumption of the voyage as the objective function, takes the navigation time as the constraint condition, takes the speed corresponding to each section as the optimization variable, and establishes a nonlinear optimization model of fuel consumption, which can be expressed as the following formula:

[0061]

[0062] In formulas (13) to (16), Q total represents the total fuel consumption of the ship's voyage; M represents the number of segments; i represents the i-th segment; V s v is the ship's sailing speed; α Relative wind speed; Arepresents waves; S represents the sailing distance; T total Indicates the total voyage time; T limit Indicates the navigation time limit requirement; n is the speed of the main diesel engine.

[0063] Furthermore, a specific learning task case is given in combination with the above design scheme. For example, the goal of the current learning task is to set the working principle of the ship energy efficiency management system, master the operation procedures such as generator paralleling and load transfer, learn to identify and solve common energy efficiency problems, etc. According to the learning task, the corresponding three-dimensional virtual scene is generated through the task scene creation unit, such as:

[0064] Ship engine room: Dynamically show students the layout and connection methods of key equipment such as generator sets, switchboards, and propulsion motors.

[0065] Cab: simulates the ship navigation interface, displaying information such as speed, heading, fuel consumption, etc.

[0066] Energy flow diagram: Dynamically demonstrates the energy conversion process from fuel to electricity to propulsion.

[0067] Fault simulation environment: Create some typical fault scenarios to allow students to practice fault diagnosis and troubleshooting solutions.

[0068] At the same time, based on the aforementioned three-dimensional virtual environment, configuration interaction functions are realized, such as equipment operation simulation: students simulate actual operations by clicking or dragging, such as starting the generator, adjusting load distribution, etc.

[0069] Parameter Adjustment: Provide adjustable parameters, such as engine speed, generator output power, etc., and students observe the system response under different settings.

[0070] Optimization analysis: Based on the above practical cases, different energy efficiency optimization processes and methods are set up to guide learners to think about the effects achieved by different optimization solutions;

[0071] Instant feedback: Give immediate correct or incorrect prompts or suggestions based on students' operations.

[0072] In some specific embodiments, the ship energy efficiency management autonomous training unit includes an energy efficiency monitoring subunit, an energy efficiency optimization subunit, and an energy efficiency evaluation subunit; the ship energy efficiency management autonomous training unit is based on the intelligent ship energy efficiency management operation scenario corresponding to each teaching task content, and takes it as the display core. By configuring the corresponding energy efficiency management process in each scenario, it provides user students with autonomous learning training content. Users can practice step by step according to the academic tasks in an orderly manner, or they can repeatedly perform training operations on tasks that are unqualified or have poor training results according to their own needs, so that they can understand and become familiar with the overall composition and operation process of the ship energy efficiency management equipment; improve users' cognition of ship energy efficiency equipment and energy efficiency management level.

[0073] Among them, the energy efficiency monitoring subunit can display the ship's navigation status, navigation environment information, and energy efficiency optimization information in real time through the monitoring interface, and provide users with the operation practice process under the corresponding intelligent ship energy efficiency management operation scenario according to the information selected by the user on the monitoring interface. The navigation information includes the ship's navigation status and navigation environment information; the energy efficiency monitoring subunit displays the corresponding changes in the data information of the equipment in the three-dimensional virtual scene in real time through the energy efficiency monitoring interface, and synchronously displays abnormal data in eye-catching fonts or colors; if students click on the navigation status, navigation environment or energy efficiency optimization information on the interface, they can enter different virtual scene models respectively, and view the operating status and energy efficiency of the corresponding equipment in the three-dimensional environment;

[0074] The energy efficiency optimization subunit can provide the user with an energy efficiency optimization training process in the energy efficiency optimization scenario when the information selected by the user is energy efficiency optimization information. The energy efficiency optimization training process is guided and trained in a teaching display mode in which the system prompts step by step and the user selects in sequence. For example, an operation prompt box appears on the interface to give operation prompts for each step. The specific prompt content is set in accordance with the relevant regulations and specifications for ship energy efficiency management, and the energy efficiency optimization training process at least includes data extraction steps, segment division steps, prediction algorithm and energy efficiency prediction steps, energy efficiency optimization method selection steps, optimization algorithm selection and dynamic optimization steps, and energy efficiency optimization control steps;

[0075] The energy efficiency evaluation subunit can evaluate the energy efficiency status of the ship after energy efficiency optimization to obtain the ship energy efficiency management effect.

[0076] In some specific embodiments, the energy efficiency monitoring subunit includes a monitoring interface component and a virtual scene switching component;

[0077] Among them, the monitoring interface component can provide users with a virtual scene display monitoring interface, real-time display of navigation information and energy efficiency optimization information, so that users can roam in the virtual scene to learn ship equipment knowledge, and at the same time obtain the user's point selection operation on the current display interface, that is, the information selected by the user on the monitoring interface; at the same time, the relevant annotation learning information is synchronously displayed at the location selected by the user; if the selected location is an energy efficiency device in a certain scene, the corresponding text learning content is synchronously displayed, such as the name / function / attribute / specification parameter / historical energy efficiency data / principle description of the ship energy efficiency equipment, and it can also be played synchronously in combination with audio technology;

[0078] The virtual scene switching component can enter different smart ship energy efficiency management operation scenes based on the point selection operation, and provide users with corresponding operation practice processes so that users can view the operating status, energy efficiency and operation parameters of the energy efficiency equipment involved in the current scene in an orderly manner according to the system prompts in the three-dimensional virtual scene.

[0079] In some specific embodiments, students are free to choose and use different energy efficiency prediction algorithms. The energy efficiency prediction algorithms involved in the selected prediction algorithms and energy efficiency prediction steps include but are not limited to BP neural network, DBN neural network, KNN algorithm, decision tree and support vector machine. The system provides different prediction algorithms for analyzing and predicting ship energy consumption, so that students can learn different prediction algorithms and the prediction accuracy and effects of different algorithms.

[0080] In some specific embodiments, the optimization algorithm in the step of selecting the energy efficiency optimization method includes a particle swarm optimization algorithm, a genetic algorithm, a whale algorithm, a gray wolf algorithm or an ant colony algorithm, that is, based on the ship energy efficiency analysis results and the navigation environment analysis results, the ship's optimal route and speed data are determined by any of the above algorithms with the goal of minimizing energy consumption and satisfying the constraints related to ship navigation. Similarly, students can freely learn and master different energy efficiency optimization decision algorithms and the optimization effects of different algorithms and continue to select unfamiliar or poorly effective tasks for continuous training.

[0081] In some specific embodiments, the optimization control in the energy efficiency optimization step includes the main engine speed control operation, the steering gear rudder angle control operation, and the generator control operation. Students can choose to enter different scenes for operation control according to the energy efficiency optimization results, such as controlling the virtual car clock and steering instrument on the bridge to control the speed and rudder angle, and manipulating the throttle lever in the power unit to control the speed, etc.

[0082] In some specific embodiments, the energy efficiency status evaluation refers to the evaluation of the energy efficiency status after the adoption of operational energy efficiency optimization management measures in various navigation scenarios, including speed optimization effect evaluation, route optimization effect evaluation, and multi-source collaborative optimization effect evaluation. At the same time, combined with the calculation standard of the ship energy efficiency operation index EEOI, the ship energy efficiency status after the above-mentioned operational optimization management measures are evaluated, and the energy efficiency status of the original ship operation measures is evaluated and compared. According to the analysis and evaluation results, auxiliary decision-making suggestions are provided to students. In each practical training, students can view the energy efficiency comparison results before and after this optimization to gain energy efficiency management knowledge and experience; the energy efficiency comparison results are displayed synchronously on the monitoring interface, and the display method can be displayed in a variety of forms such as three-dimensional models, bar charts, pie charts, and web charts. In addition, it is possible to set up a custom interval analysis by selecting different voyages or different time periods, and any voyage and any time period can be selected and compared and analyzed.

[0083] In some specific embodiments, the ship energy efficiency management collaborative training unit can enable multiple clients to realize interconnected collaborative training operations through a preset online management program to form the same simulated ship operation scenario. The simulated operation scenario can display the actual operating status of the ship, and the teacher with corresponding management authority can split the task requirements to assign different energy efficiency management tasks to each student, so that each student can perform energy efficiency management tasks separately. Students in the energy efficiency optimization scenario can perform energy efficiency optimization operations, and the optimization evaluation results can be transmitted to students in other scenarios so that they can operate in their respective virtual scenarios according to the received data. At the same time, the operation data of each student can be synchronously summarized and displayed in the ship operation scenario through the online management program, thereby realizing collaborative management of ship energy efficiency.

[0084] Referring to the above design scheme, this application has developed and designed a set of intelligent ship energy efficiency management three-dimensional simulation teaching and training system programs and runs well. Figure 2 to Figure 4 As shown, it involves five energy efficiency management scenarios, namely navigation scenario, control room scenario, bridge scenario, power unit scenario, and energy efficiency optimization scenario.

[0085] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A three-dimensional simulation teaching and training system for intelligent ship energy efficiency management, characterized in that: include: A task scenario creation unit, which can generate a variety of smart ship energy efficiency management operation scenarios, the types of which include but are not limited to ship operation scenarios and energy efficiency optimization scenarios; the ship operation scenarios include navigation scenarios, centralized control room scenarios, bridge scenarios, and power plant scenarios; Ship Energy Efficiency Management Teaching Unit, which can provide a teaching interface, provide teachers with the content creation / modification process of teaching selected tasks and publish them to the client in real time, so that students can conduct online training after passing identity authentication; Ship energy efficiency management autonomous training unit, which can provide users with corresponding operation practice procedures in intelligent ship energy efficiency management operation scenarios based on virtual reality technology and according to the task type selected by the user, and evaluate the ship energy efficiency management effect of the current operation process. The task types include but are not limited to the teaching selected tasks and autonomously selected tasks. The autonomously selected tasks are tasks that have not passed the ship energy efficiency management effect evaluation; Ship energy efficiency management collaborative training unit, which enables multiple users to perform energy efficiency management tasks simultaneously.

2. The three-dimensional simulation teaching and training system for intelligent ship energy efficiency management according to claim 1 is characterized in that: The ship energy efficiency management autonomous training unit includes an energy efficiency monitoring subunit, an energy efficiency optimization subunit, and an energy efficiency evaluation subunit; The energy efficiency monitoring subunit can display navigation information and energy efficiency optimization information in real time through the monitoring interface, and provide users with operation practice procedures under corresponding smart ship energy efficiency management operation scenarios according to the information selected by the user on the monitoring interface. The navigation information includes the navigation status of the ship and the navigation environment information. The energy efficiency optimization subunit can provide the user with an energy efficiency optimization training process when the information selected by the user is energy efficiency optimization information. The energy efficiency optimization training process is guided and trained in a teaching display mode in which the system prompts step by step and the user selects in sequence. The energy efficiency optimization training process at least includes a data extraction step, a flight segment division step, a prediction algorithm and energy efficiency prediction step, an energy efficiency optimization method step, an optimization algorithm and a dynamic optimization step, and an energy efficiency optimization control step; The energy efficiency evaluation subunit can evaluate the energy efficiency status of the ship after energy efficiency optimization to obtain the ship energy efficiency management effect.

3. The three-dimensional simulation teaching and training system for intelligent ship energy efficiency management according to claim 2 is characterized in that: The energy efficiency monitoring subunit includes a monitoring interface component and a virtual scene switching component; Among them, the monitoring interface component can provide users with a virtual scene display monitoring interface, display navigation information and energy efficiency optimization information in real time, obtain the user's point selection operation on the current display interface, that is, the information selected by the user on the monitoring interface; at the same time, the relevant annotation learning information is synchronously displayed at the location selected by the user; The virtual scene switching component can enter different smart ship energy efficiency management operation scenes based on the point selection operation, and provide users with corresponding operation practice processes so that users can view the operating status, energy efficiency and operation parameters of the energy efficiency equipment involved in the current scene in an orderly manner according to the system prompts in the three-dimensional virtual scene.

4. The three-dimensional simulation teaching and training system for intelligent ship energy efficiency management according to claim 2 is characterized in that: The energy efficiency prediction algorithms involved in the selection prediction algorithm and energy efficiency prediction step include but are not limited to BP neural network, DBN neural network, KNN algorithm, decision tree and support vector machine.

5. The three-dimensional simulation teaching and training system for intelligent ship energy efficiency management according to claim 2 is characterized in that: The optimization methods in the step of selecting the energy efficiency optimization method include speed optimization method, route optimization method, and multi-source collaborative optimization method; the optimization algorithms in the step of selecting the optimization algorithm and the dynamic optimization search include particle swarm optimization algorithm, genetic algorithm, whale algorithm, grey wolf algorithm or ant colony algorithm, that is, through any of the algorithms based on the ship energy efficiency analysis results and the navigation environment analysis results, with the minimum energy consumption as the goal, and under the conditions of satisfying the relevant constraints of the ship's navigation, the best route and speed data of the ship are decided.

6. The three-dimensional simulation teaching and training system for intelligent ship energy efficiency management according to claim 2 is characterized in that: The optimization control in the energy efficiency optimization control step includes main engine speed control operation, steering gear steering angle control operation, and generator control operation.

7. The three-dimensional simulation teaching and training system for intelligent ship energy efficiency management according to claim 2 is characterized in that: The energy efficiency status evaluation includes speed optimization effect evaluation, route optimization effect evaluation, and multi-source collaborative optimization effect evaluation.

Images