Inland ship hybrid power system based on AI front-end visual analysis network

Abstract

The invention provides an inland ship hybrid power system based on an AI front-end visual analysis network, and relates to ship hybrid power. Comprising an AI front-end visual analysis network system which is integrated in a ship and is provided with a multi-dimensional sensor, a central control system capable of processing signals from the multi-dimensional sensor, a driving power source composed of a diesel engine and a generator, a storage battery energy storage system provided with a bidirectional Buck-Boost converter, and an energy storage system provided with a bidirectional Buck-Boost converter. And the controller is used for executing an instruction of the central control system to deploy the hybrid power source and feeding back the instruction in real time. According to the invention, AI intelligent calculation can be carried out according to the real-time navigation channel information captured by the ship in the process of navigation in the inland river, a reasonable power output mode is automatically and timely switched, the operation is simple, and the reliability is relatively high.

Description

Technical Field

[0001] The present invention relates to the field of ship hybrid power, and particularly to an inland river ship hybrid system based on an AI front-end vision analysis network. Background Art

[0002] In recent years, with the emergence of a large number of various electronic devices and new energy power drive modes, the demand for intelligent, green, information-based, and real-time control systems in the field of ship control systems has become increasingly urgent. Adopting a multi-integrated control system can not only manage, dispatch, and record the whole ship's resources in real time, but also identify the surrounding environment of the hull in real time to assist the control room in making judgments and timely switch the power mode. This can not only make great use of effective resources, but also avoid the occurrence of dangerous situations. In addition, due to its intelligent nature, it can also liberate limited human resources to a certain extent.

[0003] At present, most of the ship control systems in our country are mainly composed of combined unit instruments. Each part of the system is relatively scattered and functions independently. Most of them still use manual operation. In terms of power sources, the vast majority still use traditional diesel engines, which cause great damage to the environment. Therefore, cumbersome operation, backward intelligence, strong pollution ability, low efficiency, and large dispersion have become the problems of the current ship control system.

[0004] To solve the above problems, for example, Chinese Patent No. CN202211471061.7 discloses an inland river ship hybrid power system and an operation control method, including an internal combustion engine power generation module (A), a shore power module (B), a motor propulsion module (C), a battery energy storage module (D), a daily load module (E), and a common busbar (G). During operation, the system conducts centralized collection and overall planning of the electric energy of the whole ship through the common busbar. By adjusting the charging or discharging power of the battery energy storage module, the system generator set can output power at a constant power, and further make the internal combustion engine of the generator set operate at a constant speed and constant power in the state of minimum fuel consumption per unit output power. At the same time, the power generated by the generator set is fully utilized through the battery charging and discharging. This device has the advantages of energy saving and environmental protection, but it is not smart and flexible enough in the conversion of the kinetic energy system.

[0005] At present, there is no inland river ship system at home and abroad that can flexibly, autonomously, and intelligently switch power modes. Therefore, an inland river ship hybrid system based on an AI front-end vision analysis network is designed. The present invention can perform AI intelligent calculations based on the real-time waterway information captured during inland river navigation, reasonably select the power output mode, improve the navigation reliability, simplicity, intelligence, efficiency, and environmental protection, and this design conforms to the trend of greening of intelligent ships, and will actively promote the application of new energy, clean energy, and intelligent control systems in the field of inland river shipping, having practical significance and a good application background. Summary of the Invention

[0006] The present invention aims to solve at least one of the technical problems in the related art to a certain extent.

[0007] To this end, the present invention proposes an inland river ship hybrid system based on an AI front-end vision analysis network, including: an AI front-end vision analysis network system integrated in the ship and having multi-dimensional sensors, a central control system capable of processing signals from the multi-dimensional sensors, a driving power source composed of a diesel engine and a generator, a battery energy storage system with a bidirectional Buck-Boost converter, and a controller that executes the instructions of the central control system for deploying the hybrid power source and provides real-time feedback.

[0008] Optionally, the multi-dimensional sensors are arranged at the bottom and the stern of the ship, and the driving power source is arranged in the engine room of the ship.

[0009] Optionally, the energy storage system temporarily stores excess energy; The controller feeds back the energy storage state of the energy storage system to the central control system; The central control system distributes energy according to the state of the ship.

[0010] Optionally, the AI front-end visual analysis network system is used to realize the signal conversion between the multi-dimensional sensors and the central control system.

[0011] Optionally, the multi-dimensional sensors include a speed sensor, a flow velocity sensor, a depth sensor, and a pressure sensor.

[0012] Optionally, the speed sensor is used to determine whether to start the motor and the switching of the power mode, The flow velocity sensor assists the signal reception of the speed sensor by real-time monitoring of the water flow velocity, The pressure sensor monitors the draft depth of the ship; The depth sensor is used to monitor the channel environment below the ship to avoid emergencies.

[0013] Optionally, the diesel engine and the generator are rigidly connected, and the rigid connection piece of the generator and the flywheel disc of the diesel engine are connected by high-strength bolts.

[0014] Optionally, when the battery releases electric energy, the output voltage is adjusted through the bidirectional Buck-Boost converter to match the power maintained by the engine.

[0015] Optionally, the controller adjusts the sailing speed of the ship based on the signals transmitted by the central control system.

[0016] Optionally, the controller switches the power mode automatically in real time by continuously receiving and feedback signals.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. Relying on the AI front-end visual analysis network system, the ship is made intelligent, enabling real-time grasp of navigation conditions, channel information, hull conditions, and driving situations. Moreover, the system of the present invention uses multiple-dimensional sensors to operate together to ensure controllability of real-time conditions on the water surface and underwater, showing a certain degree of intelligence.

[0018] 2. Relying on the hybrid power system, in cases of rapid acceleration, temporary hovering, temporary overload, or emergencies, the carried controller can quickly analyze the real-time situation, judge whether to release energy, feedback to the central control system, and record data. If the judgment is positive, it provides the power required by the ship under the current situation to enhance the maneuverability of the ship; if negative, it stores energy. This structure greatly improves the energy utilization efficiency and effectively reduces the carbon emissions and air pollutant emissions of the ship, contributing to the protection of the ecological environment along the way.

[0019] 3. Relying on the organic combination of the AI front-end visual analysis network system and the hybrid power system, the automated operation of electric propulsion is realized, effectively reducing the probability of human failures, and retaining the traditional advantages of diesel power propulsion, showing reliability.

[0020] The additional aspects and advantages of the present invention will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a schematic structural diagram of an inland river ship hybrid system based on an AI front-end visual analysis network; Figure 2 is a first schematic diagram of an inland river ship hybrid system; Figure 3 is a second schematic diagram of an inland river ship hybrid system; Figure 4 is a third schematic diagram of an inland river ship hybrid system; In the figure: 1 - visual analysis system; 2 - controller; 3 - central control system; 4 - motor; 5 - diesel engine; 6 - energy storage system; 7 - generator; 8 - flow velocity sensor; 9 - pressure sensor; 10 - acoustic transmission device; 11 - propeller. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] Embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where like or similar reference numerals denote like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation of the present invention. On the contrary, the embodiments of the present invention include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0023] Figure 1 is a schematic structural diagram of an inland river ship hybrid system based on an AI front-end vision analysis network proposed in an embodiment of the present invention. As Figure 1 shown, the inland river ship hybrid system based on the AI front-end vision analysis network of this embodiment includes: an AI front-end vision analysis network system 100 integrated in the ship 105 and having multi-dimensional sensors, a central control system 101 capable of processing signals from the multi-dimensional sensors, a driving power source 102 composed of a diesel engine and a generator, a battery energy storage system 103 having a bidirectional Buck-Boost converter, and a controller 104 that executes the instructions of the central control system for deploying the hybrid power source and provides real-time feedback.

[0024] Optionally, the multi-dimensional sensors are arranged at the bottom and the stern of the ship, and the driving power source is arranged in the engine room of the ship.

[0025] Optionally, the energy storage system temporarily stores excess energy; The controller feeds back the energy storage state of the energy storage system to the central control system; The central control system distributes energy according to the state of the ship.

[0026] Optionally, the AI front-end visual analysis network system is used to realize signal conversion between the multi-dimensional sensors and the central control system.

[0027] Optionally, the multi-dimensional sensors include a speed sensor, a flow velocity sensor, a depth sensor, and a pressure sensor.

[0028] Optionally, the speed sensor is used to determine whether to start the motor and the switching of the power mode, The flow velocity sensor assists the signal reception of the speed sensor by monitoring the flowing water speed in real time, The pressure sensor monitors the draft depth of the ship; The depth sensor is used to monitor the channel environment under the ship to avoid emergencies.

[0029] Optionally, the diesel engine and the generator are rigidly connected, and the rigid connecting piece of the generator and the flywheel disc of the diesel engine are connected by high-strength bolts.

[0030] Optionally, when the storage battery releases electric energy, the output voltage is adjusted through the bidirectional Buck-Boost converter to match the power maintained by the engine.

[0031] Optionally, the controller adjusts the sailing speed of the ship based on the signal transmitted by the central control system.

[0032] Optionally, the controller continuously receives and feeds back signals to automatically switch the power mode in real time.

[0033] The present invention includes multi-dimensional sensors (speed sensors, acceleration sensors, etc.) arranged in a certain topological structure, a front-end vision system with intelligence, a central control system that can overall plan and allocate the feedback signals from the vision system and the controller in real time, a power source composed of a diesel engine and an electric motor, a backup storage power source composed of a diesel generator and an energy storage system, a hybrid power source composed of the power source and the backup storage power source, an energy storage system with a bidirectional Buck-Boost converter and a storage battery, a controller that executes the instructions of the central control system for allocating the hybrid power source and feeds back in real time, and a propeller model.

[0034] It should be noted that Figure 2 、 Figure 3 、 Figure 4 are respectively the first schematic diagram, the second schematic diagram and the third schematic diagram of the hybrid system of inland river ships, Figure 2 、 Figure 3 and Figure 4 The reference numerals in include: 1 - Visual analysis system; 2 - Controller; 3 - Central control system; 4 - Electric motor; 5 - Diesel engine; 6 - Energy storage system; 7 - Generator; 8 - Flow velocity sensor; 9 - Pressure sensor; 10 - Acoustic transmission device; 11 - Propeller.

[0035] Among them, the intelligent front-end vision system is mainly responsible for signal conversion between sensors and the central control system; the controller that executes the instructions of the central control system for deploying the hybrid power source and provides real-time feedback can flexibly switch among the three power modes according to power requirements, namely, the diesel engine operating alone, diesel-electric hybrid operation, and battery pack energy storage; the central control system that can coordinate and allocate the feedback signals from the vision system and the controller is the core of this system. It can not only analyze and process the signals from the vision system but also allocate the feedback signals of the controller and give instructions, and taking the central control system as the center, it coordinates and schedules the entire system; the power source composed of a diesel engine and an electric motor constitutes the power source for driving the inland river ship; the energy storage system with a bidirectional Buck-Boost converter and a battery can store the excess energy; the backup storage power source composed of a diesel generator and an energy storage system constitutes the backup energy for ensuring the ship's power source; the hybrid power source composed of the power source and the backup storage power source combines the two major power sources of the diesel engine, electric motor, generator, and battery pack, and is selected and allocated through the controller; the multi-dimensional sensors (speed sensor, pressure sensor, acoustic wave sensor) arranged in a certain topological structure mainly function to capture comprehensive signals such as the channel depth, width, sediment volume, and number of reefs and feedback them to the central control system in real time through GPIO. Due to the unique star-shaped topology structure of this system, it can make the signal acquisition more efficient and convenient; the propeller model adjusts the rotation speed by executing the instructions of the controller, thereby changing the ship speed.

[0036] The object of the present invention is achieved as follows: It includes multi-dimensional sensors (flow velocity sensors, pressure sensors, acoustic wave sensors) arranged in a certain topological structure, an intelligent front-end vision system, a central control system that can coordinate and allocate the feedback signals from the vision system and the controller, a power source composed of a diesel engine and an electric motor, a backup storage power source composed of a diesel generator and an energy storage system, a hybrid power source composed of the power source and the backup storage power source, an energy storage system with a bidirectional Buck-Boost converter and a battery, a controller that executes the instructions of the central control system for deploying the hybrid power source and provides real-time feedback, and a propeller model.

[0037] The present invention also includes the following structural features: The flowing water type mechanical work can ensure the reliability and timeliness of the system.

[0038] Mechatronics ensures the accuracy of the system of the present invention.

[0039] Each part is a mutually feedback structural body, enabling the system to accurately and timely switch the power mode.

[0040] The sensors adopting a star-shaped topology structure improve the data acquisition and transmission efficiency.

[0041] The tree topology structure formed by the parts connected to the central controller has strong scalability, energy efficiency, and is suitable for large-scale and multi-level hybrid control systems.

[0042] In the present invention, the central control system, the controller, and the vision system are arranged in the control room, the multi-dimensional sensors are arranged at the bottom and the stern of the ship, and the power source is arranged in the engine room, and each component is electrically connected.

[0043] In the present invention, each sensor is not connected to each other and transmits signals to the vision system and the central control system separately.

[0044] In the present invention, the power sources, namely the motor, the generator, and the battery pack, are electrically connected and are coordinated by the controller.

[0045] It should be noted that in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more.

[0046] In the description of this specification, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0047] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. An inland river ship hybrid system based on an AI front-end vision analysis network, characterized in that, It includes an AI front-end visual analysis network system integrated in a ship and equipped with multi-dimensional sensors, a central control system capable of processing signals from the multi-dimensional sensors, a driving power source composed of a diesel engine and a generator, a battery energy storage system with a bidirectional Buck-Boost converter, and a controller that executes the instructions of the central control system for deploying the hybrid power source and provides real-time feedback.

2. The hybrid system for inland river vessels based on the AI front-end vision analysis network according to claim 1, wherein, Among them, the multi-dimensional sensors are arranged at the bottom and the stern of the ship, and the driving power source is arranged in the engine room of the ship.

3. The inland river ship hybrid system based on the AI front-end visual analysis network according to claim 1, characterized in that the energy storage system temporarily stores excess energy; the controller feeds back the energy storage state of the energy storage system to the central control system; the central control system distributes energy according to the state of the ship.

4. An inland river ship hybrid system based on an AI front-end vision analysis network according to claim 1, characterized in that, Among them, the AI front-end visual analysis network system is used to realize the signal conversion between the multi-dimensional sensors and the central control system.

5. The hybrid system for inland river ships based on the AI front-end vision analysis network according to claim 1, wherein, Among them, the multi-dimensional sensors include a speed sensor, a flow velocity sensor, a depth sensor, and a pressure sensor.

6. The hybrid system for inland river ships based on the AI front-end vision analysis network according to claim 5, characterized in that, Among them, the speed sensor is used to determine whether to start the motor and the switching of the power mode, the flow velocity sensor assists the signal reception of the speed sensor by continuously monitoring the flow velocity of the water, the pressure sensor monitors the draft depth of the ship; the depth sensor is used to monitor the channel environment under the ship to avoid emergencies.

7. An inland river ship hybrid system based on an AI front-end vision analysis network according to claim 1, wherein, Among them, the diesel engine and the generator are rigidly connected, and the rigid connection plate of the generator and the flywheel disc of the diesel engine are connected by high-strength bolts.

8. An inland river ship hybrid system based on an AI front-end vision analysis network according to claim 1, characterized in that, Among them, when the battery releases electrical energy, the output voltage is adjusted through the bidirectional Buck-Boost converter to match the power maintained by the engine.

9. The hybrid system for inland river ships based on the AI front-end vision analysis network according to claim 1, characterized in that, Among them, the controller executes the instructions of the central control system for deploying the hybrid power source and provides real-time information feedback.

10. An inland river ship hybrid system based on an AI front-end vision analysis network according to claim 1, characterized in that, Among them, the controller automatically switches the power mode in real time by continuously receiving and feedback signals.

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