An intelligent dock device and management system based on an AI unmanned ship

Abstract

The application relates to the field of dock management, and relates to an intelligent dock device and management system based on an AI unmanned ship, which comprises the following modules: a data interaction module, which is used for acquiring network system parameter information, constructing a wireless transmission network based on the network system parameter information, and performing data interaction control according to an interaction request of an unmanned ship based on the wireless transmission network; a sinking and floating control module, which is used for performing centralized overall evaluation on a pre-installed intelligent dock device according to the interaction request based on the wireless transmission network, acquiring an evaluation result, and performing sinking and floating control on the intelligent dock based on the evaluation result; a battery monitoring module, which is used for performing charging and discharging monitoring on a battery module of the intelligent dock through a cloud platform based on the wireless transmission network and the interaction request, and acquiring a monitoring result; and a control management module, which is used for performing control management on the intelligent dock through the cloud platform system according to the evaluation result and the charging monitoring result, so that the sinking and floating of the dock is accelerated and the work efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of dock management, in particular to a smart dock device and management system based on an AI unmanned ship. BACKGROUND

[0002] A dock is an engineering work ship that can be used for shipbuilding or ship repair. The dock uses its sinking and floating system to enable other ships to enter and exit the dock's dock chamber for work in different water areas. The dock is an important large-scale equipment in a shipyard and is mainly used for ship repair.

[0003] In recent years, the demand for docks has been increasing, and the efficiency and reliability of floating docks have also been increasing. In order to make the floating dock sink and float quickly and smoothly, the staff adjusts the drainage and water inlet valves of each ballast tank and the opening of each branch valve based on the six water level values monitored on the floating dock to adjust the water volume of each ballast tank, thereby achieving the sinking and floating of the dock through the change of water volume. This method is not only inefficient and labor-intensive, but also has poor reliability. Moreover, when some unmanned ships need to be powered, the dock lacks power supply capability, or the power supply equipment of the dock is damaged or has insufficient power. SUMMARY

[0004] The present application provides a smart dock management system based on an AI unmanned ship, which includes:

[0005] A data interaction module for obtaining network system parameter information, constructing a wireless transmission network based on the network system parameter information, and performing data interaction control based on the wireless transmission network according to the interaction request of the unmanned ship.

[0006] A sinking and floating control module for performing centralized overall evaluation of the pre-installed smart dock device based on the wireless transmission network according to the interaction request, obtaining an evaluation result, and performing sinking and floating control of the smart dock based on the evaluation result.

[0007] A battery monitoring module for performing charge and discharge monitoring of the battery module of the smart dock through a cloud platform based on the wireless transmission network and the interaction request, and obtaining a monitoring result.

[0008] A control management module for performing control management of the smart dock through a cloud platform system according to the evaluation result and the charge monitoring result.

[0009] Preferably, the data interaction module is specifically used for:

[0010] Obtaining the required network system parameter information and calculating the terminal signal-to-noise ratio data.

[0011] Based on the terminal signal-to-noise ratio data, the transmission power parameter of the unmanned ship, the smart dock and the remote cloud platform is adjusted, and the matching network data is obtained;

[0012] According to the matching network data, a wireless transmission network is constructed, and based on the wireless transmission network, the interaction request of the unmanned ship is sent to the smart dock and the cloud platform through the access interface for data interaction;

[0013] The cloud platform analyzes the received interaction request, determines the feedback instruction, and sends the feedback instruction to the unmanned ship and the smart dock;

[0014] When the smart dock receives the feedback instruction, the identification access interface is unlocked, and the unmanned ship is connected according to the real-time instruction and the access interface of the smart dock after unlocking;

[0015] The cloud platform controls the data interaction of the unmanned ship and the smart dock.

[0016] Preferably, the sinking and floating control module is specifically used for:

[0017] Based on the pre-established smart dock device, the model running parameter data of the smart dock detection module in the smart dock device is distributedly collected;

[0018] Based on the current operation data of the smart dock, the smart dock detection module is distributedly processed respectively;

[0019] The distributed processing includes smart dock state monitoring, risk early warning, fault diagnosis and fault disposal;

[0020] The secondary operation data of the smart dock after the distributed processing is summarized, the smart dock device is centrally evaluated based on the secondary operation data, and the evaluation result is obtained;

[0021] When the evaluation result shows that the evaluation is normal, the evaluation result is fed back to the cloud platform and the unmanned ship through the wireless transmission network, and the cloud platform controls the sinking and floating of the smart dock;

[0022] The smart dock device includes a distributedly deployed monitoring system, a centrally deployed analysis and decision center, and a remotely wirelessly connected cloud platform data analysis module;

[0023] Preferably, the basic equipment of the smart dock device in the sinking and floating control module includes one or more of the following equipment: cup equipment, smart dock detection module, attitude detection equipment, branch valve, draft sensor and water level sensor;

[0024] The construction of the smart dock detection module comprises:

[0025] Normal operation data of the smart dock is acquired by the basic equipment of the smart dock device;

[0026] The normal operation data comprises attitude data, ballast data, floating state data and power data;

[0027] The attitude data is fitted to obtain an attitude function, and a sinking and floating curve of the dock is obtained by the attitude function;

[0028] Based on the sinking and floating curve, a sinking and floating attitude function of the dock draft and the dock water tank water volume is obtained by the least square method, and a smart dock sinking and floating attitude model is constructed based on the sinking and floating attitude function;

[0029] The dock displacement is calculated according to the ballast data, the smart dock draft difference is calculated according to the dock displacement and the empty dock mass, and the dock longitudinal restoring moment and the trim moment are calculated according to the smart dock draft difference and the smart dock basic parameters;

[0030] The smart dock basic parameters comprise a dock trim angle, a dock length, a width and a dock buoyancy center coordinate data;

[0031] A smart dock loading model is constructed according to the dock displacement, the smart dock draft difference, the dock longitudinal restoring moment and the trim moment;

[0032] The floating state parameters of the current smart dock are determined by the floating state data and the sinking and floating attitude function, and a smart dock floating state detection model is constructed based on the floating state parameters;

[0033] The smart dock detection module is constructed based on the smart dock sinking and floating attitude model, the smart dock loading model and the smart dock floating state detection model.

[0034] Preferably, the smart dock sinking and floating attitude model in the sinking and floating control module is calculated according to the following formula:

[0035] Wherein,

[0036]

[0037] Wherein,

[0038] In the formula, A represents the smart dock sinking and floating attitude model, F represents the sinking and floating attitude function, and a represents the smart dock draft difference. irepresents the i-th attitude data of the smart dock; n represents the total number of attitude data; h represents the draft height of the ship; v represents the water volume of the dock; G represents the gravity of the smart dock itself; W represents the width of the smart dock; L represents the length of the smart dock; g represents the acceleration of gravity; ρ represents the density of water; α represents the mean value of the smart dock attitude data; v represents the water volume of the dock; δ represents the smart dock attitude correction coefficient; ζ represents the weighted coefficient; η represents the fitting error.

[0039] Preferably, the calculation formula of the loading model of the smart dock in the sink-float control module is as follows:

[0040]

[0041]

[0042]

[0043] In the formula, P represents the η represents the loading parameter of the smart dock; V 排 The displacement of the dock; Y L The draft difference of the smart dock; M L The longitudinal restoring moment of the dock; ζ L The longitudinal restoring moment of the dock; β j The i-th dock center of buoyancy coordinate data; k represents the total number of dock center of buoyancy coordinate data; W represents the width of the smart dock; L represents the length of the smart dock; Z represents the coefficient; θ represents the pitch angle of the dock; ε represents the liquid surface correction coefficient.

[0044] Preferably, the calculation formula of the floating state detection model of the smart dock in the sink-float control module is as follows:

[0045]

[0046] In the formula, A S The floating state detection model of the smart dock; The i-th floating state data; m represents the total number of floating state data; F represents the sink-float attitude function; τ represents the floating state parameter; π represents the abnormal signal; ω represents the detection threshold influence factor; W represents the width of the smart dock; L represents the length of the smart dock.

[0047] Preferably, the battery monitoring module is specifically used for:

[0048] Based on the wireless transmission network and the interaction request, the battery module of the smart dock is locked through the cloud platform, and the charge-discharge data of the unmanned ship and the power data of the battery module are obtained;

[0049] The battery module includes a solar power supply device, an energy storage power supply device, and an inverter device. ​

[0050] According to the charging and discharging data and the power data, the power requirement of the battery of the unmanned ship is determined, based on the power requirement, the battery interface and the connection mode of the battery module matched with the smart dock are matched through the cloud platform, and a matching result is obtained;

[0051] Based on the matching result, the on-off state of each power supply device switching switch in the power supply module is set, and the power supply device with the open switch state is adjusted, and the required power of the battery of the unmanned ship is output through the battery module;

[0052] Based on the required power, the charging and discharging of the battery module of the smart dock is monitored through the cloud platform, and a monitoring result is obtained.

[0053] Preferably, the battery monitoring module based on the required power, the charging and discharging of the battery module of the smart dock is monitored through the cloud platform, and a monitoring result is obtained, comprising:

[0054] The required power and the running state and environmental parameter data of the battery module of the smart dock collected by the battery intelligent monitoring unit in the cloud platform are monitored through the cloud platform, and a monitoring result is obtained;

[0055] The monitoring result is: the charging and discharging state is normal and the charging and discharging state is abnormal;

[0056] When the required power, the running state and environmental parameter data of the battery module of the smart dock exceed the pre-set threshold value, the monitoring result is displayed as the charging and discharging state is abnormal, otherwise the monitoring result is displayed as the charging and discharging state is normal;

[0057] When the monitoring result shows that the charging and discharging state is abnormal, the battery intelligent monitoring unit in the cloud platform alarms the battery module of the smart dock, and obtains alarm information;

[0058] Based on the alarm information, the operation and maintenance personnel are informed by the cloud platform to check and process the battery module of the smart dock.

[0059] Preferably, the control management module is specifically used for:

[0060] The evaluation result and the monitoring result are sent to the intelligent management terminal through the cloud platform, and an adjustment instruction is generated through the intelligent management terminal;

[0061] The adjustment instruction includes: the smart dock is normally enabled, the smart dock is temporarily suspended for a short period of time, and the smart dock is temporarily suspended for a long period of time;

[0062] When the evaluation result shows normal and the monitoring result shows that the charging and discharging state is normal, the adjustment instruction is to normally enable the smart dock;

[0063] When the evaluation result shows normal and the monitoring result shows abnormal charging and discharging state, the adjustment instruction is short-term suspension of the smart dock;

[0064] When the evaluation result shows abnormal and the monitoring result shows normal charging and discharging state, the adjustment instruction is short-term suspension of the smart dock;

[0065] When the evaluation result shows abnormal and the monitoring result shows abnormal charging and discharging state, the adjustment instruction is long-term suspension of the smart dock.

[0066] The application also provides a smart dock device based on an AI unmanned ship, comprising one or more of the following devices: a cup device, a smart dock detection module, a posture detection device, a branch pipe valve, a draft sensor and a water level sensor;

[0067] The cup device, the smart dock detection module and the posture detection device are connected through a wireless transmission network;

[0068] The cup device is connected with the unmanned ship and the cloud platform through the wireless transmission network respectively;

[0069] The draft sensor and the water level sensor are electrically connected with the smart dock detection module respectively;

[0070] The branch pipe valve is connected with the draft sensor, the water level sensor and the smart dock water tank pipeline respectively;

[0071] The running data of the smart dock is obtained through the cup device;

[0072] The construction of the smart dock detection module comprises:

[0073] The normal running data of the smart dock is obtained through the basic equipment of the smart dock device;

[0074] The normal running data comprises attitude data, ballast data, floating state data and power data;

[0075] The attitude data is fitted to obtain an attitude function, and the sinking and floating curve of the dock is obtained through the attitude function;

[0076] Based on the sinking and floating curve, the sinking and floating attitude function of the dock draft and the dock water tank water volume is obtained through the least square method, and the sinking and floating attitude model of the smart dock is constructed based on the sinking and floating attitude function;

[0077] The dock displacement is calculated according to the ballast data, the smart dock draft difference is calculated according to the dock displacement and the empty dock mass, and the dock longitudinal restoring moment and the trim moment are calculated according to the smart dock draft difference and the basic parameters of the smart dock;

[0078] The basic parameters of the dock include a dock trim angle, a dock length, a width and dock buoyancy center coordinate data;

[0079] According to the dock displacement, the intelligent dock draft difference, the dock longitudinal restoring moment and the trim moment, an intelligent dock stowage model is constructed;

[0080] By means of the floating state data and the floating attitude function, floating state parameters of the current intelligent dock are determined, and an intelligent dock floating state detection model is constructed based on the floating state parameters;

[0081] Based on the intelligent dock floating attitude model, the intelligent dock stowage model and the intelligent dock floating state detection model, an intelligent dock detection module is constructed.

[0082] The beneficial effects of the present application are: 1. An intelligent dock device and management system based on an AI unmanned ship, comprising: a data interaction module for obtaining network system parameter information, constructing a wireless transmission network based on the network system parameter information, and performing data interaction control according to the interaction request of the unmanned ship based on the wireless transmission network; a floating control module for performing centralized overall evaluation on the pre-installed intelligent dock device based on the wireless transmission network according to the interaction request, obtaining an evaluation result, and performing floating control on the intelligent dock based on the evaluation result; a battery monitoring module for performing charge and discharge monitoring of the battery module of the intelligent dock through the cloud platform based on the wireless transmission network and the interaction request, and obtaining a monitoring result; a control management module for controlling and managing the intelligent dock through the cloud platform system according to the evaluation result and the charge monitoring result. Through the present application, the intelligent dock detection module in the intelligent dock device can effectively detect, monitor and control the possible inclination or deformation of the dock during the sinking and floating process, thereby reducing the operation intensity of the crew and enhancing the safety of the repaired ship during the lifting process. Therefore, the method of the present application can speed up the sinking and floating speed of the dock and effectively improve the efficiency. Moreover, through the constructed wireless transmission network, the unmanned ship and the intelligent dock can be remotely monitored and controlled and managed through the cloud platform, realizing intelligent management of the dock, saving time and manpower;

[0083] 2. The present application can also monitor the charge and discharge of the battery module of the intelligent dock through the cloud platform, which can not only master the power demand of the unmanned ship in real time and monitor the power supply capacity of the intelligent dock, but also maximize the power supply to the unmanned ship, monitor and detect the power supply equipment to ensure power safety, and solve the problem of insufficient power supply of the dock. BRIEF DESCRIPTION OF DRAWINGS

[0084] Figure 1 It is a connection diagram of the intelligent dock management system module based on the AI unmanned ship.

[0085] Figure 2 The application provides an AI-based unmanned ship dock device connection schematic diagram. DETAILED DESCRIPTION

[0086] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by a person skilled in the art without creative work fall within the protection scope of the application.

[0087] In the description of the application, the terms "first", "second" are used only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" can explicitly or implicitly include one or more of the features. In the description of the application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0088] In the description of the application, the term "for example" is used to indicate "as an example, illustration or description". Any embodiment described as "for example" in the application is not necessarily interpreted as more preferred or more advantageous than other embodiments. The following description is given so that any person skilled in the art can implement and use the application. In the following description, details are listed for the purpose of explanation. It should be understood that a person skilled in the art can realize the application without using these specific details. In other examples, well-known structures and processes will not be described in detail to avoid unnecessary details making the description of the application obscure. Therefore, the application is not intended to be limited to the shown embodiments, but is consistent with the broadest scope of the principles and characteristics disclosed in the application.

[0089] Embodiment 1:

[0090] The application provides an AI-based unmanned ship dock management system module connection schematic diagram as shown in Figure 2 The application provides an AI-based unmanned ship dock management system module connection schematic diagram as shown in

[0091] The data interaction module is used to acquire network system parameter information, construct a wireless transmission network based on the network system parameter information, and perform data interaction control according to the interaction request of the unmanned ship based on the wireless transmission network.

[0092] A floating control module is configured to perform centralized overall evaluation on the pre-installed smart dock device according to the interaction request based on the wireless transmission network, obtain an evaluation result, and perform floating control on the smart dock based on the evaluation result.

[0093] A battery monitoring module is configured to perform charge and discharge monitoring on a battery module of the smart dock through a cloud platform based on the wireless transmission network and the interaction request, and obtain a monitoring result.

[0094] A control management module is configured to perform control management on the smart dock through a cloud platform system according to the evaluation result and the charge monitoring result.

[0095] Specifically, the data interaction module is specifically configured to:

[0096] obtain required network system parameter information, and calculate terminal signal-to-noise ratio data;

[0097] adjust transmission power parameters of the unmanned ship, the smart dock and the remote cloud platform based on the terminal signal-to-noise ratio data, and obtain matching network data;

[0098] construct a wireless transmission network according to the matching network data, and send an interaction request of the unmanned ship to the smart dock and the cloud platform through an access interface for data interaction based on the wireless transmission network;

[0099] perform instruction analysis on the received interaction request through the cloud platform, determine a feedback instruction, and send the feedback instruction to the unmanned ship and the smart dock;

[0100] When the smart dock receives the feedback instruction, the identification access interface is unlocked, and the unmanned ship is connected according to the real-time instruction and the access interface of the smart dock after being unlocked;

[0101] The cloud platform is used for data interaction control on the unmanned ship and the smart dock.

[0102] Specifically, the floating control module is specifically configured to:

[0103] based on the pre-established smart dock device, distributed collection is performed on model running parameter data of a smart dock detection module in the smart dock device;

[0104] Based on the current operation data of the smart dock, distributed processing is performed on the smart dock detection module respectively.

[0105] The distributed processing includes smart dock state monitoring, risk early warning, fault diagnosis and fault disposal.

[0106] The risk early warning is obtained by data cleaning, cutting and fusion of the current intelligent ship dock operation data through the cloud platform.

[0107] According to the fused operation data, the operation law of the intelligent ship dock device is mined to form an intelligent ship dock device operation law knowledge base.

[0108] Based on the knowledge base, the intelligent ship dock operation change trend is predicted, and the abnormal situation that may occur is warned.

[0109] Among them, the fault diagnosis is when the intelligent ship dock device fails, fully considering the time, space and application of the operation data Multidimensional characteristics and the correlation between operation data and influencing factors, correlation analysis and information drilling of operation data from multiple dimensions, and using logical causal analysis method to build operation fault diagnosis tree.

[0110] Using the operation fault diagnosis tree, the fault reason of the intelligent ship dock device is mined and the fault is automatically located.

[0111] The influencing factors include system environment factors, software factors, hardware factors and operation factors.

[0112] Among them, the fault disposal is after the intelligent ship dock device fault reason is mined according to the operation data, according to the fault reason, the fault processing auxiliary decision is provided for the operation and maintenance personnel, the fault source is quickly handled or isolated, and the fast collaborative disposal of the intelligent ship dock device is realized.

[0113] All the above steps realize the monitoring of the intelligent ship dock state.

[0114] The secondary operation data of the intelligent ship dock after the distributed processing is summarized, the intelligent ship dock device is evaluated based on the secondary operation data, and the evaluation result is obtained.

[0115] In the cloud platform, the operation state historical data of the intelligent ship dock device is analyzed and counted based on data mining technology, and the evaluation result is generated.

[0116] When the evaluation result shows that the evaluation is normal, the evaluation result is fed back to the cloud platform and the unmanned ship through the wireless transmission network, and the cloud platform controls the sinking and floating of the intelligent ship dock.

[0117] Among them, the intelligent ship dock device includes a distributed monitoring system, a centralized analysis and decision center and a remotely connected cloud platform data analysis module.

[0118] The basic equipment of the intelligent ship dock device in the sinking and floating control module includes one or more of the following equipment: cup equipment, intelligent ship dock detection module, attitude detection equipment, branch valve, draft sensor and water level sensor.

[0119] The construction of the smart dock detection module comprises:

[0120] Normal operation data of the smart dock is obtained through the basic equipment of the smart dock device;

[0121] The normal operation data comprises attitude data, ballast data, floating state data, and power data;

[0122] The attitude data is fitted to obtain an attitude function, and a sinking and floating curve of the dock is obtained through the attitude function;

[0123] Based on the sinking and floating curve, a sinking and floating attitude function of the dock draft and the dock water tank water volume is obtained through the least square method, and a smart dock sinking and floating attitude model is constructed based on the sinking and floating attitude function;

[0124] The smart dock is designed with many large-capacity ballast water tanks, which enables the dock to control the buoyancy of the dock by adjusting the displacement of the ballast water tank, and further enables the dock to safely lift the ship to be repaired out of the water and perform corresponding dock repair work;

[0125] The relationship between the draft and the ballast water volume of the dock during the sinking and floating operation can be more intuitively represented by the sinking and floating curve;

[0126] The dock displacement is calculated according to the ballast data, the smart dock draft difference is calculated according to the dock displacement and the empty dock mass, and the dock longitudinal restoring moment and trim moment are calculated according to the smart dock draft difference and the smart dock basic parameters;

[0127] The smart dock basic parameters comprise the dock trim angle, the dock length, the width, and the dock buoyancy center coordinate data;

[0128] A smart dock loading model is constructed according to the dock displacement, the smart dock draft difference, the dock longitudinal restoring moment, and the trim moment;

[0129] The floating state parameters of the current smart dock are determined through the floating state data and the sinking and floating attitude function, and a smart dock floating state detection model is constructed based on the floating state parameters;

[0130] A smart dock detection module is constructed based on the smart dock sinking and floating attitude model, the smart dock loading model, and the smart dock floating state detection model.

[0131] The liquid level of each ballast tank can be controlled in real time through the smart dock detection module, and the real-time control is mainly for calculating the water volume, time, and tank water level that need to be adjusted when the floating dock is in a reasonable working state;

[0132] Because once the dock is built, the equipment equipped, such as the number and type of ballast water pumps, are fixed, so as to adjust the time and efficiency, only need to adjust the amount of water in all ballast tanks;

[0133] Therefore, by constructing the intelligent dock detection module, the model running parameters in the intelligent dock detection module are fed back to the cloud platform in real time, and the cloud platform controls the intelligent dock according to the parking requirements of the unmanned ship and the factual parameters of each model;

[0134] Although shortening the range of the adjusted water amount can improve the adjustment rate, but cannot exceed the range of the inclination and deflection requirements;

[0135] Through the cloud platform and the intelligent dock detection module, the inclination or deformation that may occur during the sinking and floating of the dock can be detected, monitored and controlled in real time, the operation intensity of the crew is reduced, and the safety of the repaired ship during lifting is enhanced, so that the sinking and floating speed of the dock can be accelerated, and the efficiency can be improved.

[0136] The intelligent dock sinking and floating posture model in the sinking and floating control module is calculated as follows:

[0137] Among them,

[0138]

[0139] Among them,

[0140] In the formula, A represents the intelligent dock sinking and floating posture model, F represents the sinking and floating posture function, alpha i represents the intelligent dock i-th posture data, n represents the total number of posture data, h represents the ship water depth, v represents the dock water volume, G represents the intelligent dock gravity, W represents the intelligent dock width, L represents the intelligent dock length, g represents the gravity acceleration, rho represents the water density, alpha represents the intelligent dock posture data mean, v represents the dock water volume, delta represents the intelligent dock posture correction coefficient, zeta represents the weighting coefficient, and eta represents the fitting error.

[0141] The intelligent dock sinking and floating posture model in the sinking and floating control module is calculated as follows:

[0142]

[0143] Among them,

[0144]

[0145] In the formula, P represents the intelligent dock loading parameter, eta represents the intelligent dock loading parameter, V 排Displacement of the dock; Y L Draft difference of the smart dock; M L Indicates the longitudinal restoring moment of the dock; ζ L Indicates the longitudinal restoring moment of the dock; β j Indicates the i-th dock center of buoyancy coordinate data; k indicates the total number of dock center of buoyancy coordinate data; W indicates the width of the smart dock; L indicates the length of the smart dock; Z indicates the appendage coefficient; θ indicates the draft angle of the dock; and ε indicates the liquid surface correction coefficient.

[0146] The calculation formula of the smart dock floating state detection model in the flooding control module is as follows:

[0147]

[0148] In the formula, A S Indicates the smart dock floating state detection model; Indicates the i-th floating state data; m indicates the total number of floating state data; F indicates the flooding posture function; μ indicates the floating state parameter; π indicates the abnormal signal; ω indicates the detection threshold influence factor; W indicates the width of the smart dock; and L indicates the length of the smart dock.

[0149] Specifically, the battery monitoring module is specifically used for:

[0150] Based on the wireless transmission network and the interaction request, the battery module of the smart dock is locked through the cloud platform, and the charging and discharging data of the unmanned ship and the power data of the battery module are obtained;

[0151] The battery module includes a solar power supply device, an energy storage power supply device, and an inverter device.

[0152] According to the charging and discharging data and the power data, the power demand of the battery of the unmanned ship is determined, the battery interface and the connection mode of the matching battery module of the smart dock are matched based on the power demand through the cloud platform, and a matching result is obtained;

[0153] Based on the matching result, the on-off state of each power supply device switching switch in the power supply module is set, and the power of the power supply device with the open switch state is adjusted, and the demand power of the battery of the unmanned ship is output through the battery module;

[0154] Based on the demand power, the charging and discharging of the battery module of the smart dock are monitored through the cloud platform, and a monitoring result is obtained.

[0155] The battery monitoring module based on the demand power, the charging and discharging of the battery module of the smart dock are monitored through the cloud platform, and a monitoring result is obtained, including:

[0156] The cloud platform is used to monitor the received power demand and the real-time operating status and environmental parameter data of the smart dock's battery modules collected by the intelligent battery monitoring unit in the cloud platform, and the monitoring results are obtained.

[0157] The monitoring results are: normal charging / discharging state and abnormal charging / discharging state;

[0158] When the required power, the operating status of the smart dock's battery module, and environmental parameter data exceed the preset threshold, the monitoring result will show an abnormal charging / discharging state; otherwise, the monitoring result will show a normal charging / discharging state.

[0159] When the monitoring results show that the charging and discharging status is abnormal, the battery intelligent monitoring unit in the cloud platform will issue an alarm to the battery module of the smart dock and obtain alarm information.

[0160] Based on the alarm information, the cloud platform notifies maintenance personnel to inspect and handle the battery module of the smart dock.

[0161] Specifically, the control and management module is used for:

[0162] The evaluation and monitoring results are sent to the intelligent management terminal via the cloud platform, and adjustment instructions are generated through the intelligent management terminal.

[0163] The adjustment instructions include: normal activation of the smart dock, short-term suspension of smart dock activation, and long-term suspension of smart dock activation.

[0164] When the evaluation results show that the status is normal and the monitoring results show that the charging and discharging status is normal, the adjustment command is to enable the smart dock normally.

[0165] When the evaluation results show normal but the monitoring results show abnormal charging and discharging status, the adjustment instruction is to temporarily suspend the use of the smart dock.

[0166] When the evaluation results show an abnormality and the monitoring results show that the charging and discharging status is normal, the adjustment instruction is to temporarily suspend the use of the smart dock.

[0167] When the evaluation results show abnormalities and the monitoring results show abnormal charging and discharging status, the adjustment instruction is to suspend the use of the smart dock for an extended period.

[0168] Example 2:

[0169] This invention provides a schematic diagram of the connection of a smart docking device based on an AI-powered unmanned vessel, as shown in the figure. Figure 2 As shown, it includes:

[0170] One or more of the following devices: cup device, smart dock detection module, attitude detection device, branch valve, draft sensor and water level sensor;

[0171] The cup device, the smart dock detection module and the attitude detection device are connected through a wireless transmission network;

[0172] The cup device is connected with the unmanned ship and the cloud platform through the wireless transmission network respectively;

[0173] The draft sensor and the water level sensor are electrically connected with the smart dock detection module respectively;

[0174] The branch valve is connected with the draft sensor, the water level sensor and the smart dock water tank pipeline respectively;

[0175] The running data of the smart dock is obtained through the cup device;

[0176] The construction of the smart dock detection module includes:

[0177] The normal running data of the smart dock is obtained through the basic equipment of the smart dock device;

[0178] The normal running data includes attitude data, ballast data, floating state data and power data;

[0179] The attitude data is fitted to obtain an attitude function, and the sinking and floating curve of the dock is obtained through the attitude function;

[0180] Based on the sinking and floating curve, the sinking and floating attitude function of the dock draft and the dock water tank volume is obtained by the least square method, and the sinking and floating attitude model of the smart dock is constructed based on the sinking and floating attitude function;

[0181] According to the ballast data, the displacement of the dock is calculated, according to the displacement of the dock and the mass of the empty dock, the draft difference of the smart dock is calculated, and according to the draft difference of the smart dock and the basic parameters of the smart dock, the longitudinal restoring moment and the trim moment of the dock are calculated;

[0182] The basic parameters of the dock include the trim angle of the dock, the length, width and floating center coordinate data of the dock;

[0183] According to the displacement of the dock, the draft difference of the smart dock, the longitudinal restoring moment and the trim moment of the dock, the loading model of the smart dock is constructed;

[0184] The floating state parameters of the current smart dock are determined through the floating state data and the sinking and floating attitude function, and the floating state detection model of the smart dock is constructed based on the floating state parameters;

[0185] Based on the intelligent dock heave posture model, the intelligent dock loading model and the intelligent dock floating state detection model, an intelligent dock detection module is constructed.

[0186] It should be noted that in the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0187] Those skilled in the art will understand that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0188] The present application is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for performing the functions specified in the flowcharts and / or block diagrams.

[0189] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including instruction means, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for performing the functions specified in the flowcharts and / or block diagrams.

[0190] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 means for performing the functions specified in the flowcharts and / or block diagrams.

[0191] While the preferred embodiments of the application have been described, additional variations and modifications can be made to these embodiments by those skilled in the art once they have the benefit of the present disclosure without departing from the spirit and scope of the application. Accordingly, it is intended that the appended claims include all such modifications and variations as fall within the scope of the present application.

[0192] It is apparent that those skilled in the art can make various changes and modifications to the application without departing from the spirit and scope of the application. It is therefore intended that the present application cover all such changes and modifications that are within its scope.

Claims

1. An AI-based unmanned ship management system for a smart dock, characterized by, The application relates to an unmanned ship control system. The application comprises: a data interaction module, which is used for acquiring network system parameter information, constructing a wireless transmission network based on the network system parameter information, and performing data interaction control according to an interaction request of an unmanned ship based on the wireless transmission network; a sinking and floating control module, which is used for performing centralized overall evaluation on a pre-installed intelligent ship dock device according to the interaction request based on the wireless transmission network, acquiring an evaluation result, and performing sinking and floating control on the intelligent ship dock based on the evaluation result; a battery monitoring module, which is used for performing charging and discharging monitoring on a battery module of the intelligent ship dock through a cloud platform based on the wireless transmission network and the interaction request, and acquiring a monitoring result; a control management module, which is used for performing control management on the intelligent ship dock through the cloud platform according to the evaluation result and the charging monitoring result. The sinking and floating control module is specifically used for: distributively collecting model running parameter data of an intelligent ship dock detection module in the intelligent ship dock device based on the pre-established intelligent ship dock device; respectively performing distributive processing on the intelligent ship dock detection module based on current intelligent ship dock running data; wherein the distributive processing comprises intelligent ship dock state monitoring, risk early warning, fault diagnosis and fault disposal; collecting secondary running data of the intelligent ship dock after the distributive processing, performing centralized overall evaluation on the intelligent ship dock device based on the secondary running data, and acquiring an evaluation result; when the evaluation result shows that the evaluation is normal, feeding back the evaluation result to the cloud platform and the unmanned ship through the wireless transmission network, and performing sinking and floating control on the intelligent ship dock by the cloud platform; basic equipment of the intelligent ship dock device in the sinking and floating control module comprises a cup device, an intelligent ship dock detection module, a posture detection device, a branch pipe valve, a draught sensor and a water level sensor; wherein the construction of the intelligent ship dock detection module comprises: acquiring normal running data of the intelligent ship dock through the basic equipment of the intelligent ship dock device; the normal running data comprises posture data, ballast data, floating state data and power data; fitting the posture data to obtain a posture function, and obtaining a sinking and floating curve of the ship dock through the posture function; obtaining a sinking and floating posture function of a ship dock draught and a ship dock water tank water volume through a least square method based on the sinking and floating curve, and constructing an intelligent ship dock sinking and floating posture model based on the sinking and floating posture function; calculating a ship dock displacement according to the ballast data, calculating an intelligent ship dock draught difference according to the ship dock displacement and an empty ship dock mass, and calculating a ship dock longitudinal restoring moment and a longitudinal inclination moment according to the intelligent ship dock draught difference and intelligent ship dock basic parameters; the ship dock basic parameters comprise a ship dock longitudinal inclination angle, a ship dock length, a width and ship dock floating center coordinate data; constructing an intelligent ship dock loading model according to the ship dock displacement, the intelligent ship dock draught difference, the ship dock longitudinal restoring moment and the longitudinal inclination moment; determining floating state parameters of the current intelligent ship dock through the floating state data and the sinking and floating posture function, and constructing an intelligent ship dock floating state detection model based on the floating state parameters; constructing the intelligent ship dock detection module based on the intelligent ship dock sinking and floating posture model, the intelligent ship dock loading model and the intelligent ship dock floating state detection model.

2. The management system of claim 1, wherein, The data interaction module is specifically used for: Obtaining the required network system parameter information, calculating the terminal signal-to-noise ratio data; Based on the terminal signal-to-noise ratio data, the transmission power parameter of the unmanned ship, the intelligent dock and the remote cloud platform is adjusted, and the matching network data is obtained; According to the matching network data, a wireless transmission network is constructed, and based on the wireless transmission network, the interaction request of the unmanned ship is sent to the intelligent dock and the cloud platform through the access interface for data interaction; Through the cloud platform, the received interaction request is analyzed, the feedback instruction is determined, and the feedback instruction is sent to the unmanned ship and the intelligent dock; When the intelligent dock receives the feedback instruction, the identification access interface is unlocked, and the unmanned ship is connected according to the real-time instruction and the access interface of the intelligent dock after unlocking; Through the cloud platform, the data interaction control of the unmanned ship and the intelligent dock is carried out.

3. The management system of claim 2, wherein, The intelligent dock sinking and floating posture model calculation formula in the sinking and floating control module is as follows: wherein , ; wherein, wherein, represents the intelligent dock's heave attitude model; represents the heave attitude function; represents the intelligent dock's i-th attitude data; n represents the total number of attitude data; represents the ship's draft height; represents the dock's water volume; represents the intelligent dock's self-gravity; represents the intelligent dock's width; represents the intelligent dock's length; represents the gravitational acceleration; represents the density of water; represents the intelligent dock's attitude data mean value; represents the dock's water volume; represents the intelligent dock's attitude correction coefficient; represents the weighting coefficient; represents the fitting error.

4. The management system of claim 3, wherein, The intelligent dock loading model calculation formula in the sinking and floating control module is as follows: ； wherein, , wherein, represents; represents the stowing parameter of the smart dock; represents the displacement of the dock; represents the draft difference of the smart dock; represents the longitudinal restoring moment of the dock; represents the longitudinal restoring moment of the dock; represents the i-th dock center of buoyancy coordinate data; represents the total number of dock center of buoyancy coordinate data; represents the width of the smart dock; represents the length of the smart dock; represents the appendage number; represents the trim angle of the dock; represents the liquid surface correction coefficient.

5. The management system of claim 1, wherein, The intelligent dock floating state detection model calculation formula in the sinking and floating control module is as follows: wherein, represents a smart dock float state detection model; represents the i-th float state data; represents the total number of float state data; represents a sink-float posture function; represents a float state parameter; represents an abnormal signal; represents a detection threshold influence factor; represents a smart dock width; represents a smart dock length.

6. The management system of claim 1, wherein, The battery monitoring module is specifically used for: Based on the wireless transmission network and the interaction request, the battery module of the intelligent dock is locked through the cloud platform, the charge and discharge data of the unmanned ship and the power data of the battery module are obtained; Wherein, the battery module includes: solar power supply equipment, energy storage power supply equipment and inverter equipment; According to the charge and discharge data and the power data, the power demand of the battery of the unmanned ship is determined, based on the power demand, the battery interface and connection mode matching of the matching intelligent dock battery module is carried out through the cloud platform, and the matching result is obtained; Based on the matching result, the on-off state of each power supply equipment switching of the battery module is set, and the power supply equipment with open switch state is adjusted, and the demand power of the battery of the unmanned ship is output through the battery module; Based on the demand power, the battery module of the intelligent dock is monitored through the cloud platform, and the monitoring result is obtained.

7. The management system of claim 6, wherein, The battery monitoring module in the battery monitoring module based on the demand power, the battery module of the intelligent dock is monitored through the cloud platform, and the monitoring result is obtained, including: Through the cloud platform, the demand power received and the real-time acquisition of the running state and environmental parameter data of the battery module of the intelligent dock by the battery intelligent monitoring unit in the cloud platform are monitored, and the monitoring result is obtained; Wherein, the monitoring result is: the charge and discharge state is normal and the charge and discharge state is abnormal; When the demand power, the running state and environmental parameter data of the battery module of the intelligent dock exceed the pre-set threshold value, the monitoring result is displayed as the charge and discharge state is abnormal, otherwise the monitoring result is displayed as the charge and discharge state is normal; When the monitoring result shows that the charge and discharge state is abnormal, the battery intelligent monitoring unit in the cloud platform alarms the battery module of the intelligent dock, and obtains the alarm information; Based on the alarm information, the cloud platform notifies the operation and maintenance personnel to check and process the battery module of the intelligent dock.

8. The management system of claim 1, wherein, The control management module is specifically used for: The evaluation result and the monitoring result are sent to an intelligent management terminal through a cloud platform, and an adjustment instruction is generated through the intelligent management terminal; The adjustment instruction includes normal use of the intelligent dock, short-term suspension of the intelligent dock, and long-term suspension of the intelligent dock; When the evaluation result is normal and the monitoring result shows that the charging and discharging state is normal, the adjustment instruction is normal use of the intelligent dock; When the evaluation result is normal and the monitoring result shows that the charging and discharging state is abnormal, the adjustment instruction is short-term suspension of the intelligent dock; When the evaluation result is abnormal and the monitoring result shows that the charging and discharging state is normal, the adjustment instruction is short-term suspension of the intelligent dock; When the evaluation result is abnormal and the monitoring result shows that the charging and discharging state is abnormal, the adjustment instruction is long-term suspension of the intelligent dock.

9. An AI-based unmanned ship-based smart dock device, characterized by, The cup device, the intelligent dock detection module, the attitude detection device, the branch pipe valve, the draft sensor, and the water level sensor are included; The cup device, the intelligent dock detection module, and the attitude detection device are connected through a wireless transmission network; The cup device is connected with the unmanned ship and the cloud platform through the wireless transmission network; The draft sensor and the water level sensor are electrically connected with the intelligent dock detection module; The branch pipe valve is connected with the draft sensor, the water level sensor, and the intelligent dock water tank pipeline; The running data of the intelligent dock is obtained through the cup device; The construction of the intelligent dock detection module includes: The normal running data of the intelligent dock is obtained through the basic equipment of the intelligent dock device; The normal running data includes attitude data, ballast data, floating state data, and power data; The attitude function is obtained by fitting the attitude data, and the sinking and floating curve of the dock is obtained through the attitude function; Based on the sinking and floating curve, the sinking and floating attitude function of the dock draft and the dock water tank water volume is obtained by the least square method, and the sinking and floating attitude model of the intelligent dock is constructed based on the sinking and floating attitude function; The dock displacement is calculated according to the ballast data, the intelligent dock draft difference is calculated according to the dock displacement and the empty dock mass, and the longitudinal restoring moment and the trim moment of the dock are calculated according to the intelligent dock draft difference and the basic parameters of the intelligent dock; The basic parameters of the dock include the dock trim angle, the dock length, the width, and the dock buoyancy center coordinate data; The intelligent dock loading model is constructed according to the dock displacement, the intelligent dock draft difference, the longitudinal restoring moment, and the trim moment of the dock; The floating state parameters of the current intelligent dock are determined through the floating state data and the sinking and floating attitude function, and the floating state detection model of the intelligent dock is constructed based on the floating state parameters; The intelligent dock detection module is constructed based on the sinking and floating attitude model of the intelligent dock, the intelligent dock loading model, and the floating state detection model of the intelligent dock.

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