Sea patrol boat energy consumption detection system for intelligent navigation of ship and operation method

Abstract

The invention discloses a coastal patrol boat energy consumption detection system for intelligent navigation of a ship and an operation method, and the system comprises a global sensing module, an edge processing module, a central processing module, a data transmission network module, a man-machine interaction module, a system power module, and an environmental parameter sensing module. According to the invention, high-coverage acquisition of sub-item physical parameters is realized by deploying sensors at key positions of a ship through a global sensing module; the edge processing module carries out on-site timestamp synchronization and preprocessing on the original data, so that the data timeliness is improved and the transmission burden is reduced; the central processing module stably executes complex energy consumption fusion calculation and modeling; the data transmission network module ensures high-speed reliable communication between the edge processing module and the central processing module, the system power supply module maintains continuous power supply of the whole system, and the environmental parameter sensing module assists in correcting an energy consumption calculation result of the global sensing module by collecting environmental data; and finally, an analysis result is visually fed back by the man-machine interaction module, and a full-link reliable monitoring body from data acquisition and processing to decision support is formed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ship energy consumption detection, and particularly relates to a marine patrol boat energy consumption detection system for intelligent ship navigation and an operation method. BACKGROUND

[0002] The global shipping industry is accelerating its green and intelligent transformation, and the International Maritime Organization (IMO) has made strict requirements for ship carbon emissions and energy efficiency management. Intelligent ship navigation systems optimize routes and power distribution through real-time data, becoming a core means of reducing energy consumption. Marine patrol boats, as special ships that undertake tasks such as sea patrol and emergency rescue, require precise detection and dynamic management of their power systems' energy consumption, which directly affects their endurance, task reliability, and emergency response efficiency. Energy consumption detection equipment is a device that collects and displays parameters such as fuel consumption, hydraulic pipe pressure, and electrical load of a ship's power system in real time through mechanical or electromechanical structures.

[0003] In the context of intelligent navigation, marine patrol boats need to switch power modes in real time based on sea conditions and task types. Traditional extensive energy consumption monitoring cannot achieve early identification of hydraulic system instantaneous pressure fluctuations and fuel micro-leakage, nor can it achieve rapid maintenance. SUMMARY

[0004] In view of the above, the present application aims to provide a marine patrol boat energy consumption detection system for intelligent ship navigation and an operation method, which realizes high-precision detection and rapid maintenance of marine patrol boat energy consumption.

[0005] To achieve the above technical purposes, the technical solution adopted by the present application is as follows:

[0006] The application discloses a kind of for ship intelligent navigation's sea patrol boat energy consumption detection system, including global perception module, edge processing module, central processing module, data transmission network module, man-machine interaction module, system power module and environmental parameter perception module, the global perception module is used to real-time acquisition sea patrol boat each energy consumption subsystem physical parameter, including torque sensor, flow sensor, current power sensor, temperature sensor and humidity sensor;The edge processing module is used to accept the original data of global perception module and carries out preliminary processing, the edge processing module is connected with the global perception module by high-speed bus;The central processing module is used to receive the data of edge processing module and carries out complex energy consumption fusion calculation, the central processing module is connected with the edge processing module;The data transmission network module is armored main trunk optical fiber network, the main trunk optical fiber network is connected with the edge processing module and the central processing module by switch;The man-machine interaction module is used to display energy consumption analysis result and receive user instruction, the man-machine interaction module is connected with central processing module;The system power module is used to provide power for the global perception module, edge processing module, central processing module, data transmission network module and man-machine interaction module;The environmental parameter perception module is used to assist correction data of global perception module, and environmental parameter data are provided to the edge processing module and central processing module processing global perception module to reference, the environmental parameter perception module includes wind speed sensor, wind direction sensor and dynamic sensor.

[0007] Further, the output signals of the torque sensor, flow sensor, current power sensor, temperature sensor and humidity sensor of the global perception module and the wind speed sensor, wind direction sensor and dynamic sensor of the environmental parameter perception module are all processed synchronously by the edge processing module.

[0008] Further, the edge processing module includes an edge computing unit and a bus interface unit, the edge computing unit is used to perform sensor data preprocessing, timestamp synchronization and energy consumption preliminary estimation, and the bus interface unit is used to connect the edge computing unit with the global perception module.

[0009] Further, the output signals of the torque sensor, flow sensor, current power sensor, temperature sensor, humidity sensor and wind speed sensor, wind direction sensor and dynamic sensor are all transmitted to the central processing module after timestamp synchronization processing by the edge computing unit.

[0010] Further, the central processing module includes an industrial computing unit, the industrial computing unit is used to deeply process sensor data, calculate energy consumption and predict maintenance information according to sensor data.

[0011] Further, the data transmission network module comprises a field bus network layer, the field bus network layer is connected to the edge processing module through the torque sensor, the flow sensor, the current power sensor, the temperature sensor and the humidity sensor integrated in the bus interface unit.

[0012] Further, the human-computer interaction module comprises a touch display terminal and a wireless communication interface, the touch display terminal is integrated in the operation table inside the ship bridge cabin, and is used for displaying analysis data of the edge processing module and the central processing module; and the wireless communication interface is used for supporting remote access to energy consumption data.

[0013] The application also provides an operation method of the marine patrol boat energy consumption detection system for intelligent navigation of a ship.

[0014] S1, the torque sensor, the flow sensor, the current power sensor, the temperature sensor and the humidity sensor in the global perception module are used to continuously collect the propulsion, fuel, power and environmental physical parameters of the marine patrol boat;

[0015] S2, the edge processing module is used to receive, pre-process and time stamp synchronize the collected sensor raw data, and perform preliminary edge energy consumption data calculation;

[0016] S3, the data processed by the edge is uploaded to the central processing module through the backbone optical fiber network of the data transmission network module;

[0017] S4, in the central processing module, based on the received multi-source synchronous data, fusion calculation is performed to generate comprehensive energy consumption analysis results including sub-item instantaneous energy consumption, cumulative energy consumption, energy efficiency ratio index and energy consumption prediction information;

[0018] S5, the comprehensive energy consumption analysis results are transmitted to the human-computer interaction module in real time for display;

[0019] S6, the system power module is used to continuously provide stable power supply for each module of the system.

[0020] Further, the system further comprises an environmental parameter perception module, the environmental parameter perception module is used to assist in correcting the data of the global perception module, and provides environmental parameter data to the edge processing module and the central processing module for processing the global perception module for reference, and the environmental parameter perception module comprises a wind speed sensor, a wind direction sensor and a dynamic sensor.

[0021] The method further comprises:

[0022] S41, the output signals of the wind speed sensor, the wind direction sensor and the dynamic sensor collected by the environmental parameter sensing module are transmitted to the edge processing module and the central processing module;

[0023] S42, the output signals of the wind speed sensor, the wind direction sensor and the dynamic sensor provide supplementary data for the edge processing module and the central processing module according to the analysis result of the global perception module, and correct the energy consumption analysis result.

[0024] By adopting the technical scheme, the present application has the beneficial effects that:

[0025] Distinguished from the prior art, the present application comprises a global perception module, an edge processing module, a central processing module, a data transmission network module, a man-machine interaction module, a system power module and an environmental parameter sensing module. The global perception module realizes high-coverage collection of sub-physical parameters by deploying sensors at key positions of the ship. The edge processing module performs in-situ timestamp synchronization and preprocessing of the original data, improves the data timeliness and reduces the transmission burden. The central processing module stably performs complex energy consumption fusion calculation and modeling. The data transmission network module ensures high-speed and reliable communication between the edge processing module and the central processing module. The system power module maintains continuous power supply for the whole system. The environmental parameter sensing module assists in correcting the energy consumption calculation result of the global perception module by collecting environmental data. Finally, the man-machine interaction module intuitively feeds back the analysis result, forming a full-link reliable monitoring body from data collection, processing to decision support. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0027] Figure 1 is a whole structure schematic diagram of a marine patrol boat energy consumption detection system for intelligent navigation of a ship provided by the present application;

[0028] Figure 2 is a whole structure schematic diagram of a global perception module described in the specific embodiments of the present application;

[0029] Figure 3 is a whole structure schematic diagram of an edge processing module described in the specific embodiments of the present application;

[0030] Figure 4 is a whole structure schematic diagram of a man-machine interaction module described in the specific embodiments of the present application;

[0031] Figure 5 is a whole structure schematic diagram of an operation method of a sea patrol boat energy consumption detection system for intelligent navigation of a ship provided by the present application;

[0032] Figure 6 is a partial structure schematic diagram of an operation method of a sea patrol boat energy consumption detection system for intelligent navigation of a ship according to an embodiment of the present application.

[0033] Reference signs:

[0034] 1, global perception module; 11, torque sensor; 12, flow sensor; 13, current power sensor; 14, temperature sensor; 15, humidity sensor; 2, edge processing module; 21, edge computing unit; 22, bus interface unit; 3, central processing module; 31, industrial computing unit; 4, data transmission network module; 41, fieldbus network layer; 5, human-computer interaction module; 51, touch display terminal; 52, wireless communication interface; 6, system power module; 7, environmental parameter perception module; 71, wind speed sensor; 72, wind direction sensor; 73, dynamic sensor. DETAILED DESCRIPTION

[0035] The application will be described in further detail below with reference to the drawings and embodiments. It is particularly pointed out that the following embodiments are only used to illustrate the application, but do not limit the scope of the application. Similarly, the following embodiments are only part of the embodiments of the present application, not all embodiments, and all other embodiments obtained by those skilled in the art without creative labor are within the scope of the present application.

[0036] The present application provides a kind of sodium silicate concentration array method device system and operation method, realize the high-precision detection and fast maintenance of sea patrol boat energy consumption.

[0037] Please see Figures 1-4The application discloses a kind of for ship intelligent navigation's sea patrol boat energy consumption detection system, including global perception module 1, edge processing module 2, central processing module 3, data transmission network module 4, man-machine interaction module 5, system power module 6 and environmental parameter perception module 7, global perception module 1 is used to collect the physical parameter of each energy consumption subsystem of sea patrol boat in real time, including torque sensor 11, flow sensor 12, current power sensor 13, temperature sensor 14 and humidity sensor 15;Edge processing module 2 is used to accept the original data of global perception module 1 and carries out preliminary processing, and edge processing module 2 is connected with global perception module 1 by high-speed bus communication;Central processing module 3 is used to receive the data of edge processing module 2 and carries out complex energy consumption fusion calculation, and central processing module 3 is connected with edge processing module 2 communication;Data transmission network module 4 is armored main trunk fiber network, and main trunk fiber network is connected with edge processing module 2 and central processing module 3 by switch;Man-machine interaction module 5 is used to display energy consumption analysis result and receive user instruction, and man-machine interaction module 5 is connected with central processing module 3 communication;System power module 6 is used to provide power supply for global perception module 1, edge processing module 2, central processing module 3, data transmission network module 4 and man-machine interaction module 5;Environmental parameter perception module 7 is used to assist correction data of global perception module 1, and environmental parameter data is provided edge processing module 2 and central processing module 3 processing global perception module 1 to reference, and environmental parameter perception module 7 includes wind speed sensor 71, wind direction sensor 72 and dynamic sensor 73.

[0038] In this embodiment, the global perception module 1 refers to the sensor components distributed in key parts of the ship, including the torque sensor 11 fixed on the propeller shaft flange, the flow sensor 12 connected to the main engine and auxiliary engine fuel pipelines respectively, the current power sensor 13 integrated in the main distribution board, the temperature sensor and humidity sensor 15 installed on the surface of the engine room equipment and the deck area, for real-time collection of power, fuel, electricity and environmental physical parameters. The edge processing module 2 refers to the embedded computing unit deployed in the engine room protective box, which is connected to the global perception module 1 through a high-speed bus, for receiving raw data and performing timestamp synchronization and preprocessing. The central processing module 3 refers to the industrial computing device set in the shock-absorbing cabinet under the bridge, for receiving edge processing data and performing energy consumption fusion calculation and modeling. The data transmission network module 4 refers to the armored backbone optical fiber network covering the whole ship, which connects the edge and central processing modules 3 through switches to ensure high-speed and reliable communication. The human-computer interaction module 5 refers to the touch display terminal 51 embedded in the bridge control panel, for visualizing the energy consumption analysis results and receiving instructions. The system power module 6 refers to the power supply unit integrated with surge protection function, which provides stable power for all modules through redundant lines. The environmental parameter perception module 7 refers to the components including the mast top wind speed and direction sensor 72 and the dynamic sensor 73 at the center of gravity of the ship body, whose data is used to assist in correcting the energy consumption calculation results of the global perception module 1.

[0039] In this embodiment, the global perception module 1 achieves high-coverage collection of sub-physical parameters by deploying sensors at key positions of the propeller shaft flange, main engine and auxiliary engine oil lines, main distribution board and engine room deck; the edge processing module 2 performs in-situ timestamp synchronization and preprocessing of raw data to improve data timeliness and reduce transmission burden; the central processing module 3 stably performs complex energy consumption fusion calculation and modeling in the shock-absorbing cabinet under the bridge; the data transmission network module 4 ensures high-speed and reliable communication between the edge processing module 2 and the central processing module 3 through armored backbone optical fiber and switches; the system power module 6 maintains continuous power supply for the whole system by means of surge protection and redundant lines; the environmental parameter perception module 7 collects environmental data through mast top and ship body attitude sensors to assist in correcting the energy consumption calculation results of the global perception module 1; finally, the human-computer interaction module 5 embedded in the bridge intuitively feeds back the analysis results, forming a full-link reliable monitoring system from data collection, processing to decision support.

[0040] Further, in some embodiments, the output signals of the torque sensor 11, flow sensor 12, current power sensor 13, temperature sensor 14 and humidity sensor 15 of the global perception module 1, and the wind speed sensor 71, wind direction sensor 72 and dynamic sensor 73 of the environmental parameter perception module 7, are all processed synchronously by the edge processing module 2.

[0041] In the embodiment, the wind speed sensor 71 and the wind direction sensor 72 of the environmental parameter sensing module 7 refer to a weather measuring device installed at the top of the radar mast, which is used to capture wind field data when the ship is sailing; the dynamic sensor 73 refers to a motion measuring element fixed near the center of gravity of the ship body, and the dynamic sensor 73 in the working condition of the ship refers to the dynamic sensor 73, which is used to obtain the attitude changes such as rolling and pitching of the ship. After the output signals of the above-mentioned various sensors are transmitted to the edge processing module 2, they are all time-stamped and processed by the special clock source of the module, realizing the time reference alignment of all sensor data. This synchronization processing ensures that the multi-source data in the subsequent fusion calculation of the central processing module 3 has strict time correlation, thereby eliminating the analysis deviation caused by signal transmission delay.

[0042] In the embodiment, the environmental parameter sensing module 7 accurately captures the sailing wind field parameters through the wind speed sensor 71 and the wind direction sensor 72 at the top of the radar mast, and simultaneously monitors the rolling and pitching attitude changes of the ship in real time by using the dynamic sensor 73 (i.e., the dynamic sensor 73) fixed near the center of gravity of the ship body; the output signals of all sensors are uniformly time-stamped and processed by the special clock source of the edge processing module 2, realizing the accurate time reference alignment of the data of the global perception module 1 and the environmental parameter sensing module 7; this synchronization mechanism effectively ensures that the wind speed and direction, the ship attitude and other physical parameters form strict time correlation in the fusion calculation process of the subsequent central processing module 3, completely eliminates the time sequence deviation caused by the difference in signal transmission path, and significantly improves the spatiotemporal consistency of multi-source heterogeneous data fusion analysis

[0043] Further, in some embodiments, the edge processing module 2 includes an edge computing unit 21 and a bus interface unit 22, the edge computing unit 21 is used to perform sensor data preprocessing, time stamp synchronization and preliminary energy consumption estimation; the bus interface unit 22 is used to make the edge computing unit 21 communicate with the global perception module 1.

[0044] In the present embodiment, the edge processing module 2 refers to an airborne processing assembly composed of an edge computing unit 21 and a bus interface unit 22. The edge computing unit 21 refers to a special processor chip embedded in a protective box and its running environment, which is used to perform three types of core operations: preprocessing operations of signal filtering and format conversion on the sensor raw data collected by the global perception module 1, time alignment operations of multi-sensor timestamp synchronization based on an internal clock source, and preliminary calculation operations of short-term energy consumption estimation according to a preset algorithm. The bus interface unit 22 refers to a communication interface chip physically soldered on the circuit board of the edge computing unit 21, that is, a physical channel for hardware layer connection, which is used to make the edge computing unit 21 connected to the field bus cable of the global perception module 1 through a standard electrical connector. The essential function of the bus interface unit 22 is to establish physical communication, thereby constructing a high-speed transmission path for sensor data. This combined structure makes the edge processing module 2 have both data cleaning and synchronization capabilities and ensures reliable physical layer interaction with the distributed sensor group, providing effective data input for the central processing module 3.

[0045] In the present embodiment, the edge processing module 2 performs three operations of signal filtering and format conversion preprocessing of sensor data, multi-sensor timestamp synchronization based on an internal clock source, and short-term energy consumption preliminary estimation of a preset algorithm through the edge computing unit 21; the bus interface unit 22 establishes a physical communication path by physically soldering as a physical channel for hardware layer connection, so that the edge computing unit 21 communicates with the field bus cable of the global perception module 1 through a standard electrical connector; this dual-structure combination not only guarantees the physical layer reliable interaction and spatiotemporal consistency of the distributed sensor group raw data, but also realizes the data cleaning and preliminary calculation functions, thereby providing standardized data input for the efficient fusion analysis of the central processing module 3.

[0046] Further, in some embodiments, the output signals of the torque sensor 11, the flow sensor 12, the current power sensor 13, the temperature sensor 14, the humidity sensor 15, the wind speed sensor 71, the wind direction sensor 72, and the dynamic sensor 73 are transmitted to the central processing module 3 after being processed by the timestamp synchronization of the edge computing unit 21.

[0047] In the present embodiment, the output signals of the sensors are accessed to the edge computing unit 21, and then a strict timestamp marking operation is performed by a special clock source inside the unit, which is essentially a unified time reference alignment operation on multi-source asynchronous data. The standardized data set after the timestamp synchronization processing is sent to the central processing module 3 through the data transmission network module 4. This process ensures that the sensor data at different physical locations are completely aligned in the time dimension, eliminates the timing deviation caused by the transmission path difference, and provides a spatiotemporal consistent data basis for the energy consumption fusion calculation of the central processing module 3.

[0048] In the present embodiment, the output signals of all sensors are strictly time-stamped by the dedicated clock source of the edge computing unit 21, achieving the alignment of the unified time reference of the multi-source asynchronous data, and the standardized data set generated thereby is transmitted to the central processing module 3 through the data transmission network module 4. This synchronization process ensures that the data collected by the torque sensor 11, the flow sensor 12, the current power sensor 13, the temperature sensor, the humidity sensor 15, the wind speed sensor 71, the wind direction sensor 72 and the dynamic sensor 73 at different physical locations are completely aligned in the time dimension, completely eliminating the timing deviation caused by the difference in transmission path, thereby establishing a data basis strictly consistent in time and space reference for the energy consumption fusion calculation of the central processing module 3.

[0049] Further, in some embodiments, the central processing module 3 comprises an industrial computing unit 31 for deep processing of sensor data and calculating energy consumption and predictive maintenance information according to the sensor data.

[0050] In the present embodiment, the industrial computing unit 31 refers to the high-performance computing hardware and operating system carried in the module, and its functions include: receiving the synchronized standardized sensor data set from the edge processing module 2, performing fusion analysis on the multi-source data through a pre-set energy consumption analysis algorithm, and specifically performing itemized instantaneous energy consumption value calculation (such as distinguishing the energy consumption of main engine propulsion, auxiliary power supply, and navigation equipment), real-time calculation of energy efficiency ratio index, and generating device maintenance warning information (such as main engine wear trend prediction or generator efficiency degradation warning) based on the running state prediction model. Based on the time and space consistency basis of multi-source sensor data, the unit establishes the mapping relationship between energy consumption and sailing state and environmental parameters by analyzing the correlation characteristics of the torque sensor 11, the flow sensor 12, the current power sensor 13, the temperature and humidity sensor 15, the wind speed and direction sensor 72 and the dynamic sensor 73, and finally outputs the decision basis for ship energy efficiency optimization and device health management. The deployment position of the industrial computing unit 31 directly avoids the interference of engine room vibration on precision computing equipment.

[0051] In the present embodiment, the industrial computing unit 31, by receiving the synchronous standardized sensor data set of the edge processing module 2, applies a preset energy consumption analysis algorithm for multi-source data fusion analysis, realizes the calculation of the instantaneous energy consumption values of the main engine propulsion, auxiliary engine power supply, and navigation equipment, and synchronously completes the real-time calculation of the energy efficiency ratio index and generates the equipment maintenance warning information such as the main engine wear trend prediction and the generator efficiency degradation warning. Based on the space-time consistent torque sensor 11, flow sensor 12, current power sensor 13, temperature and humidity sensor 15, wind speed and direction sensor 72, and dynamic sensor 73 data, the unit establishes the mapping relationship between energy consumption and navigation state and environmental parameters, and outputs the decision basis for ship energy efficiency optimization and equipment health management. The deployment position of the shock-absorbing cabinet under the bridge effectively avoids the interference of the engine room vibration.

[0052] Further, in some embodiments, the data transmission network module includes a field bus network layer 41, which is connected to the edge processing module 2 through the bus interface unit 22. The field bus network layer 41 connects the torque sensor 11, the flow sensor 12, the current power sensor 13, the temperature sensor 14, and the humidity sensor 15 to the edge processing module 2 through the bus interface unit 22.

[0053] In the present embodiment, the field bus network layer 41, through the electrical connection hub of the bus interface unit 22, connects the torque sensor 11 fixed to the propulsion shaft flange, the flow sensor 12 connected to the main engine and auxiliary engine fuel pipelines respectively, the current power sensor 13 integrated in the main distribution board, the temperature sensor deployed on the surface of the engine room equipment, and the humidity sensor 15 deployed on the deck area in a star or bus topology. The bus interface unit 22 physically connects the cables of the field bus network layer 41 through metal connector terminals, thereby transmitting the electrical signals of all the above-mentioned sensors to the core processing circuit of the edge processing module 2. This structure realizes reliable physical access from the sensor group to the edge computing unit 21 through hardware layer direct connection.

[0054] In the present embodiment, the field bus network layer 41, through the electrical connection hub of the bus interface unit 22, connects the torque sensor 11 fixed to the propulsion shaft flange, the flow sensor 12 connected to the main engine and auxiliary engine fuel pipelines respectively, the current power sensor 13 integrated in the main distribution board, the temperature sensor deployed on the surface of the engine room equipment, and the humidity sensor 15 deployed on the deck area in a star or bus topology. The bus interface unit 22 physically connects the cables of the field bus network layer 41 through metal connector terminals, thereby transmitting the electrical signals of all the above-mentioned sensors to the core processing circuit of the edge processing module 2. This structure realizes reliable physical access from the sensor group to the edge computing unit 21 through hardware layer direct connection.

[0055] Further, in some embodiments, the human-computer interaction module 5 includes a touch display terminal 51 integrated in the operating table inside the ship's bridge cabin for displaying the analysis data of the edge processing module 2 and the central processing module 3, and a wireless communication interface 52 for supporting remote access of energy consumption data.

[0056] In the present embodiment, the touch display terminal 51 in the human-computer interaction module 5 refers to an industrial-grade liquid crystal display device integrated in the operating table inside the ship's bridge cabin, the surface of which is covered with a high-strength capacitive touch layer and packaged in a metal shell, for visual display of the preprocessed data of the edge processing module 2 and the energy consumption analysis report, energy efficiency ratio curve and equipment maintenance warning information generated by the central processing module 3. The wireless communication interface 52 refers to a wireless transmission module built-in the circuit board of the bridge cabin operating table, specifically a radio frequency circuit supporting multi-band communication protocol, for providing a remote access channel and establishing a data connection path between the ship and the shore. The touch display terminal 51 is physically connected to the central processing module 3 through a video signal line, and the crew can directly touch the screen to retrieve the sub-energy consumption data; the wireless communication interface 52 is interconnected with the central processing module 3 through a data bus, so that the shore-based management platform or mobile terminal can access the system network after identity verification, and real-time access to the ship's energy consumption status and analysis conclusion.

[0057] In the present embodiment, the touch display terminal 51 integrated in the operating table inside the ship's bridge cabin visually displays the preprocessed data of the edge processing module 2 and the energy consumption analysis report, energy efficiency ratio curve and equipment maintenance warning information generated by the central processing module 3; the wireless communication interface 52 built-in the operating table establishes a data connection path between the ship and the shore by using a multi-band communication protocol radio frequency circuit; the touch display terminal 51 is connected to the central processing module 3 through a video signal line to realize the crew's on-site touch and review of sub-energy consumption data, while the wireless communication interface 52 is interconnected with the central processing module 3 through a data bus to support the shore-based management platform or mobile terminal to real-time access to the ship's energy consumption status and analysis conclusion, thereby synchronously meeting the local operation and remote supervision requirements.

[0058] Please refer to Figures 5-6 The present embodiment provides an operation method of a marine patrol boat energy consumption detection system for intelligent navigation of a ship, comprising the following steps:

[0059] S1, continuously collecting the propulsion, fuel, power and environmental physical parameters of the marine patrol boat through the torque sensor 11, flow sensor 12, current power sensor 13, temperature sensor 14 and humidity sensor 15 in the global perception module 1;

[0060] S2, receiving, preprocessing and time stamp synchronizing the collected sensor raw data by the edge processing module 2, and performing preliminary edge energy consumption data calculation;

[0061] S3, transmitting the edge-processed data to the central processing module 3 through the backbone optical fiber network of the data transmission network module 4;

[0062] S4, in the central processing module 3, based on the received multi-source synchronous data, performing fusion calculation to generate comprehensive energy consumption analysis results including sub-item instantaneous energy consumption, cumulative energy consumption, energy efficiency ratio index and energy consumption prediction information;

[0063] S5, transmitting the comprehensive energy consumption analysis results to the human-computer interaction module 5 in real time for display;

[0064] S6, the system power module 6 continuously provides stable power supply for each module of the system.

[0065] In the embodiment, the specific operation method and process of the detection system are provided, the global perception module 1 realizes high-coverage collection of sub-item physical parameters by deploying sensors at key positions of the propulsion shaft flange, the main engine auxiliary oil circuit, the main distribution board and the deck of the engine room; the edge processing module 2 performs in-situ time stamp synchronization and preprocessing on the raw data under the protection of the engine room protective box, improves the timeliness of the data and reduces the transmission burden; the central processing module 3 stably performs complex energy consumption fusion calculation and modeling in the shockproof cabinet of the bridge; the data transmission network module 4 ensures high-speed and reliable communication between the edge processing module 2 and the central processing module 3 through armored backbone optical fiber and switches; the system power module 6 maintains continuous power supply for the whole system by surge protection and redundant lines; the environmental parameter perception module 7 collects environmental data through mast and hull attitude sensors to assist in correcting the energy consumption calculation results of the global perception module 1; finally, the human-computer interaction module 5 embedded in the bridge intuitively feeds back the analysis results, forming a full-link reliable monitoring system from data collection, processing to decision support.

[0066] Further, in some embodiments, the system further comprises an environmental parameter perception module 7 for assisting in correcting the data of the global perception module 1 and providing environmental parameter data to the edge processing module 2 and the central processing module 3 for reference, the environmental parameter perception module 7 comprising a wind speed sensor 71, a wind direction sensor 72 and a dynamic sensor 73;

[0067] The method further comprises:

[0068] S41, the output signals of the wind speed sensor 71, the wind direction sensor 72 and the dynamic sensor 73 collected by the environmental parameter perception module 7 are transmitted to the edge processing module 2 and the central processing module 3;

[0069] S42, the output signals of the wind speed sensor 71, the wind direction sensor 72 and the dynamic sensor 73 provide supplementary data for the edge processing module 2 and the central processing module 3 according to the analysis result of the global perception module 1, and correct the energy consumption analysis result.

[0070] The environmental parameter perception module 7 refers to an auxiliary correction unit for improving the accuracy of energy consumption analysis, wherein the wind speed sensor 71 refers to a wind measuring device installed at the top of the radar mast, which is used to quantify the strength of the sailing wind field; the wind direction sensor 72 refers to a pointing device installed at the top of the mast, which is used to measure the deflection angle of the wind direction relative to the bow of the ship; the dynamic sensor 73, i.e. the ship motion attitude sensor, refers to a motion measuring element fixed at the deck position of the center of gravity of the ship body, which is used to capture the attitude changes such as rolling and pitching of the ship. The output signals of the above-mentioned sensors are transmitted to the edge processing module 2 for time stamp synchronization, and are uploaded to the central processing module 3 at the same time. The core function is to provide wind speed, wind direction and ship attitude parameters for the edge processing module 2 and the central processing module 3, which are used as compensation basis for correcting the reliability of environmental data such as temperature sensor and humidity sensor 15 in the global perception module 1, and are finally used for dynamic optimization of the energy consumption analysis result generated by the torque sensor 11, the flow sensor 12 and the current power sensor 13.

[0071] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0072] If the integrated unit is implemented in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the methods in the various embodiments of the present application. The aforementioned storage medium includes various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc. In addition, the functional units in the various embodiments of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware or a software function unit.

[0073] If the integrated unit is implemented in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the methods in the various embodiments of the present application. The aforementioned storage medium includes various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0074] The above only describes some embodiments of the present application, and does not limit the protection scope of the present application. Any equivalent device or equivalent process transformation based on the content of the specification and drawings, or direct or indirect application in other related technical fields, is also included in the patent protection scope of the present application.

Claims

1. A patrol boat energy consumption detection system for intelligent navigation of ships, characterized in that: include: A global sensing module, which is used to collect real-time physical parameters of various energy-consuming subsystems of the patrol boat, including torque sensors, flow sensors, current and power sensors, temperature sensors, and humidity sensors; An edge processing module, configured to receive raw data from the global perception module and perform preliminary processing, the edge processing module being communicatively connected to the global perception module via a high-speed bus; A central processing module, which is used to receive data from the edge processing modules and perform complex energy consumption fusion calculations, and is in communication with the edge processing modules; A data transmission network module, wherein the data transmission network module is an armored backbone optical fiber network, and the backbone optical fiber network is connected to the edge processing module and the central processing module via a switch; A human-computer interaction module, which is used to display energy consumption analysis results and receive user instructions, and is in communication with the central processing module; A system power module, which is used to provide power for the global perception module, edge processing module, central processing module, data transmission network module and human-computer interaction module; The environmental parameter perception module is used to assist in correcting the data of the global perception module and provide the environmental parameter data to the edge processing module and the central processing module for reference. The environmental parameter perception module includes a wind speed sensor, a wind direction sensor and a dynamic sensor.

2. The energy consumption detection system for patrol boats used for intelligent navigation of ships according to claim 1, characterized in that: The output signals of the torque sensor, flow sensor, current power sensor, temperature sensor and humidity sensor of the global perception module and the wind speed sensor, wind direction sensor and dynamic sensor of the environmental parameter perception module are all synchronously processed by the edge processing module.

3. The energy consumption detection system for patrol boats used for intelligent navigation of ships according to claim 1, characterized in that: The edge processing module includes: an edge computing unit, configured to perform sensor data preprocessing, timestamp synchronization, and preliminary energy consumption estimation; A bus interface unit is used to connect the edge computing unit with the global perception module.

4. The energy consumption detection system for patrol boats used for intelligent navigation of ships according to claim 3, characterized in that: The output signals of the torque sensor, flow sensor, current power sensor, temperature sensor, humidity sensor, wind speed sensor, wind direction sensor and dynamic sensor are all processed by the timestamp synchronization of the edge computing unit and then transmitted to the central processing module.

5. The energy consumption detection system for patrol boats used for intelligent navigation of ships according to claim 1, characterized in that: The central processing module includes: An industrial computing unit is used to deeply process sensor data and calculate energy consumption and predict maintenance information based on the sensor data.

6. The energy consumption detection system for patrol boats used for intelligent navigation of ships according to claim 1, characterized in that: The data transmission network module includes: A fieldbus network layer is integrated in the bus interface unit, and the fieldbus network layer connects the torque sensor, flow sensor, current power sensor, temperature sensor and humidity sensor to the edge processing module through the bus interface unit.

7. The energy consumption detection system for patrol boats used for intelligent navigation of ships according to claim 1, characterized in that: The human-computer interaction module includes: A touch display terminal, which is integrated into an operating console in the ship's cockpit and is used to display analysis data from the edge processing module and the central processing module; A wireless communication interface is used to support remote access to energy consumption data.

8. An operating method of an energy consumption detection system for a patrol boat used for intelligent navigation of ships, characterized in that: The energy consumption detection system according to any one of claims 1 to 7 comprises the following steps: S1. Continuously collect propulsion, fuel, power and environmental physical parameters of the patrol boat through the torque sensor, flow sensor, current power sensor, temperature sensor and humidity sensor provided in the global sensing module; S2. Receive, pre-process, and timestamp synchronize the collected sensor raw data through the edge processing module, and perform preliminary edge energy consumption data calculation; S3, uploading the edge-processed data to the central processing module through the backbone optical fiber network of the data transmission network module; S4. In the central processing module, based on the received multi-source synchronous data, a fusion calculation is performed to generate a comprehensive energy consumption analysis result including itemized instantaneous energy consumption, cumulative energy consumption, energy efficiency ratio index, and energy consumption forecast information; S5. Transmitting the comprehensive energy consumption analysis result to the human-computer interaction module in real time for display; S6. Continuously provide stable power supply to each module of the system through the system power supply module.

9. The method for operating the energy consumption detection system for patrol boats used for intelligent navigation of ships according to claim 8, characterized in that: The system further comprises: An environmental parameter perception module, which is used to assist in correcting the data of the global perception module and provide the environmental parameter data to the edge processing module and the central processing module for reference. The environmental parameter perception module includes a wind speed sensor, a wind direction sensor, and a dynamic sensor; The method further comprises: S41, the output signals of the wind speed sensor, wind direction sensor and dynamic sensor collected by the environmental parameter perception module are transmitted to the edge processing module and the central processing module; S42. The output signals of the wind speed sensor, wind direction sensor and dynamic sensor provide supplementary data to the edge processing module and the central processing module based on the analysis results of the global perception module, and correct the energy consumption analysis results.

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