Intelligent dock device and management system based on AI unmanned ship

Abstract

The invention relates to the field of dock management, in particular to an intelligent dock device and management system based on an AI unmanned ship, and the device comprises a data interaction module which is used for obtaining the parameter information of a network system, constructing a wireless transmission network based on the parameter information of the network system, and transmitting the wireless transmission network to the AI unmanned ship based on the wireless transmission network; performing data interaction control according to the interaction request of the unmanned ship; the sinking and floating control module is used for carrying out centralized overall evaluation on a pre-installed smart dock device according to the interaction request based on the wireless transmission network, obtaining an evaluation result and carrying out sinking and floating control on the smart dock based on the evaluation result; the battery monitoring module is used for carrying out charging and discharging monitoring on a battery module of the smart dock through a cloud platform based on the wireless transmission network and the interaction request to obtain a monitoring result; and the control management module is used for controlling and managing the smart dock through the cloud platform system according to the evaluation result and the charging monitoring result to accelerate the sinking and floating of the dock and improve the working efficiency.

Description

Technical Field

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

[0002] A dock is a kind of engineering vessel that can be used for shipbuilding or ship repair. The dock uses its floating system to allow other ships to enter and exit the dock in different waters for operations. The dock is an important large-scale equipment in the shipyard and is mainly used for ship maintenance.

[0003] In recent years, the demand for docks has been increasing, and the requirements for the efficiency and reliability of floating docks have also been increasing. In order for a dock to sink and float, it must have its own floating and sinking system. In the past, in order to make the floating dock sink and float quickly and smoothly, the staff manually adjusted the drainage and inlet valves of each ballast tank of the floating dock and the opening of each branch valve according to the six draft values ​​of the floating dock monitored on the floating dock, and realized the adjustment of the water volume of each ballast tank after judgment, so as to achieve the sinking and floating of the dock through the change of water volume. This method is not only inefficient, labor-intensive and unreliable, but also has problems such as the lack of power supply capacity for some unmanned ships when they need to be supplemented with electricity, or the power supply equipment of the dock is damaged and the power is insufficient. Summary of the invention

[0004] The present invention aims at the technical problems existing in the prior art, and provides a smart dock management system based on AI unmanned ships, comprising:

[0005] A data interaction module, used to obtain network system parameter information, build a wireless transmission network based on the network system parameter information, and perform 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, used to perform a centralized overall evaluation of the pre-installed smart dock device based on the wireless transmission network and according to the interaction request, obtain the evaluation result, and perform sinking and floating control on the smart dock based on the evaluation result;

[0007] A battery monitoring module is used to monitor the charging and discharging of the battery module of the smart dock through the cloud platform based on the wireless transmission network and the interaction request, and obtain the monitoring results;

[0008] The control and management module is used to control and manage the smart dock through the cloud platform system according to the evaluation results and charging monitoring results.

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

[0010] Obtain the required network system parameter information and calculate the terminal signal-to-noise ratio data;

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

[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] Performing command analysis on the received interaction request through the cloud platform, determining a feedback command, and sending the feedback command to the unmanned ship and the smart dock;

[0014] When the smart dock receives the feedback instruction, it unlocks the identification access interface, and the unmanned ship connects to the unlocked access interface of the smart dock according to the real-time instruction;

[0015] The cloud platform is used to control data interaction between 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, distributed collection of the model operation parameter data of the smart dock detection module in the smart dock device is performed;

[0018] Based on the current operation data of the smart dock, the smart dock detection modules are respectively processed in a distributed manner;

[0019] The distributed processing includes: smart dock status monitoring, risk warning, fault diagnosis and fault handling;

[0020] Summarizing the secondary operation data of the smart dock after the distributed processing, and performing a centralized overall evaluation of the smart dock device based on the secondary operation data to obtain an evaluation result;

[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 distributed monitoring system, a centralized analysis and decision-making center, and a remote 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, posture detection equipment, branch valve, draft sensor and water level sensor;

[0024] Among them, the construction of the smart dock detection module includes:

[0025] Acquire normal operation data of the smart dock through the basic equipment of the smart dock device;

[0026] The normal operating data includes: attitude data, ballast data, floating state data, and power data;

[0027] Fitting the attitude data to obtain an attitude function, and obtaining a sinking and floating curve of the dock through the attitude function;

[0028] Based on the sinking and floating curve, a sinking and floating attitude function of the dock draft and the water volume of the dock water tank 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 righting moment and trim moment are calculated according to the smart dock draft difference and basic parameters of the smart dock;

[0030] The basic parameters of the dock include dock trim angle, dock length, width and dock buoyancy center coordinate data;

[0031] Constructing a smart dock loading model according to the dock displacement, smart dock draft difference, dock longitudinal righting moment and trim moment;

[0032] Determine the floating state parameters of the current smart dock through the floating state data and the sinking and floating attitude function, and build a smart dock floating state detection model based on the floating state parameters;

[0033] Based on the smart dock sinking and floating posture model, the smart dock loading model and the smart dock floating state detection model, a smart dock detection module is constructed.

[0034] Preferably, the calculation formula of the smart dock sinking and floating posture model in the sinking and floating control module is as follows:

[0035] in,

[0036]

[0037] in,

[0038] In the formula, A represents the sinking and floating attitude model of the smart dock; F represents the sinking and floating attitude function; α irepresents the i-th posture data of the smart dock; n represents the total number of posture data; h represents the ship draft height; v represents the water volume of the dock water tank; G represents the gravity of the smart dock; 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 posture data; v represents the water volume of the dock water tank; δ represents the posture correction coefficient of the smart dock; ζ represents the weighting coefficient; η represents the fitting error.

[0039] Preferably, the calculation formula of the smart dock loading model in the sinking and floating control module is as follows:

[0040]

[0041] in,

[0042]

[0043] Where, P represents; η represents the loading parameter of the smart dock; V 排 The displacement of the dock; Y L Smart dock draft difference; M L represents the longitudinal restoring moment of the dock; ζ L represents the longitudinal righting moment of the dock and the trimming moment; β j represents the coordinate data of the buoyancy center of the i-th dock; k represents the total number of coordinate data of the buoyancy center of the dock; W represents the width of the smart dock; L represents the length of the smart dock; Z represents the attached system coefficient; θ represents the longitudinal inclination angle of the dock; ε represents the liquid level correction coefficient.

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

[0045]

[0046] In the formula, A S represents the smart dock floating state detection model; represents the i-th floating data; m represents the total number of floating data; F represents the sinking and floating posture function; τ represents the floating state parameter; π represents the abnormal signal; ω represents the detection threshold influencing 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 interactive request, the battery module of the smart dock is locked through the cloud platform to obtain the charging and discharging data of the unmanned ship and the power data of the battery module;

[0049] Wherein, the battery module includes: solar power supply equipment, energy storage power supply equipment and inverter equipment;

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

[0051] Based on the matching result, the on / off state of the switch of each power supply device in the power supply module is set, and the power of the power supply device whose switch state is on 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 battery module of the smart dock is monitored for charging and discharging through the cloud platform to obtain the monitoring results.

[0053] Preferably, the battery monitoring module monitors the battery module of the smart dock based on the required power through the cloud platform to obtain the monitoring results, including:

[0054] The cloud platform performs threshold monitoring on the received required power and the operating status and environmental parameter data of the battery module of the smart dock collected in real time by the battery intelligent monitoring unit in the cloud platform to obtain the monitoring results;

[0055] The monitoring results are: normal charging and discharging state and abnormal charging and discharging state;

[0056] When the required power, the operating status of the battery module of the smart dock and the environmental parameter data exceed the preset threshold, the monitoring result is displayed as abnormal charging and discharging status, otherwise the monitoring result is displayed as normal charging and discharging status;

[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 staff is notified through the cloud platform to inspect and handle the battery modules of the smart dock.

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

[0060] The evaluation results and monitoring results are sent to the intelligent management terminal through the cloud platform, and the adjustment instructions are generated by the intelligent management terminal;

[0061] The adjustment instructions include: normal activation of the smart dock, short-term suspension of the smart dock, and long-term suspension of the smart dock;

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

[0063] When the evaluation result shows that the charging and discharging status is abnormal, the adjustment instruction is to temporarily suspend the activation of the smart dock;

[0064] When the evaluation result shows an abnormality and the monitoring result shows that the charging and discharging status is normal, the adjustment instruction is to temporarily suspend the activation of the smart dock;

[0065] When the evaluation results show an abnormality and the monitoring results show an abnormal charging and discharging status, the adjustment instruction is to suspend the activation of the smart dock for a long time.

[0066] The present invention 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 valve, a draft sensor, and a water level sensor;

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

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

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

[0070] The branch valves are respectively connected to the draft sensor, the water level sensor and the smart dock water tank pipeline;

[0071] Acquiring the operation data of the smart dock through the cup device;

[0072] Among them, the construction of the smart dock detection module includes:

[0073] Acquire normal operation data of the smart dock through the basic equipment of the smart dock device;

[0074] The normal operating data includes: attitude data, ballast data, floating state data, and power data;

[0075] Fitting the attitude data to obtain an attitude function, and obtaining a sinking and floating curve of the dock through the attitude function;

[0076] Based on the sinking and floating curve, a sinking and floating attitude function of the dock draft and the water volume of the dock water tank 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;

[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 righting moment and trim moment are calculated according to the smart dock draft difference and basic parameters of the smart dock;

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

[0079] Constructing a smart dock loading model according to the dock displacement, smart dock draft difference, dock longitudinal righting moment and trim moment;

[0080] Determine the floating state parameters of the current smart dock through the floating state data and the sinking and floating attitude function, and build a smart dock floating state detection model based on the floating state parameters;

[0081] Based on the smart dock sinking and floating posture model, the smart dock loading model and the smart dock floating state detection model, a smart dock detection module is constructed.

[0082] The beneficial effects of the present invention are: 1. A smart dock device and management system based on AI unmanned ships, comprising: a data interaction module, used to obtain network system parameter information, build a wireless transmission network based on the network system parameter information, and perform data interaction control based on the wireless transmission network according to the interaction request of the unmanned ship; a sinking and floating control module, used to perform a centralized overall evaluation of the pre-installed smart dock device based on the wireless transmission network and the interaction request, obtain the evaluation result, and perform sinking and floating control on the smart dock based on the evaluation result; a battery monitoring module, used to charge and discharge the battery module of the smart dock through the cloud platform based on the wireless transmission network and the interaction request. Monitoring, obtaining monitoring results; control management module, used to control and manage the smart dock through the cloud platform system according to the evaluation results and charging monitoring results. The present invention can not only realize that the smart dock detection module in the smart dock device can effectively detect, monitor and control the possible tilt or deformation of the dock during the sinking and floating process in real time, but also reduce the operating intensity of the crew and enhance the safety of the repaired ship during the lifting process. Therefore, the method of the present invention can speed up the sinking and floating speed of the dock and effectively improve the efficiency. Moreover, the wireless transmission network constructed can remotely monitor and control the unmanned ship and the smart dock through the cloud platform, realize intelligent management of the dock, and save time and manpower.

[0083] 2. The present invention can also monitor the charging and discharging of the battery module of the smart dock through the cloud platform, which can not only grasp the power demand of the unmanned ship in real time, and monitor the power supply capacity of the smart dock, and realize the power supply of the unmanned ship with the highest efficiency, but also monitor and detect the power supply equipment to ensure the safety of electricity use, and solve the current problem of insufficient power supply in the dock. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 This is a schematic diagram of the connection modules of a smart dock management system based on an AI unmanned ship of the present invention;

[0085] Figure 2 The present invention provides a connection schematic diagram of a smart dock device based on an AI unmanned ship. DETAILED DESCRIPTION

[0086] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0087] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0088] In the description of the present application, the term "for example" is used to mean "used as an example, illustration or description". Any embodiment described as "for example" in the present application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid unnecessary details to obscure the description of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.

[0089] Embodiment 1:

[0090] The present invention provides a smart dock management system module connection diagram based on AI unmanned ship as shown in Figure 2 As shown, including:

[0091] A data interaction module, used to obtain network system parameter information, build a wireless transmission network based on the network system parameter information, and perform data interaction control based on the wireless transmission network according to the interaction request of the unmanned ship;

[0092] A sinking and floating control module, used to perform a centralized overall evaluation of the pre-installed smart dock device based on the wireless transmission network and according to the interaction request, obtain the evaluation result, and perform sinking and floating control on the smart dock based on the evaluation result;

[0093] A battery monitoring module is used to monitor the charging and discharging of the battery module of the smart dock through the cloud platform based on the wireless transmission network and the interaction request, and obtain the monitoring results;

[0094] The control and management module is used to control and manage the smart dock through the cloud platform system according to the evaluation results and charging monitoring results.

[0095] Specifically, the data interaction module is specifically used for:

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

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

[0098] 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;

[0099] Performing command analysis on the received interaction request through the cloud platform, determining a feedback command, and sending the feedback command to the unmanned ship and the smart dock;

[0100] When the smart dock receives the feedback instruction, it unlocks the identification access interface, and the unmanned ship connects to the unlocked access interface of the smart dock according to the real-time instruction;

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

[0102] Specifically, the sinking and floating control module is specifically used for:

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

[0104] Based on the current operation data of the smart dock, the smart dock detection modules are respectively processed in a distributed manner;

[0105] The distributed processing includes: smart dock status monitoring, risk warning, fault diagnosis and fault handling;

[0106] The risk warning is to clean, trim and integrate the current operation data of the smart dock through the cloud platform;

[0107] Based on the integrated operation data, the operation rules of smart dock devices are mined to form a knowledge base of operation rules of smart dock devices;

[0108] Based on the knowledge base, the operation trend of the smart dock is predicted, and risk warnings for possible abnormal situations are issued;

[0109] Among them, fault diagnosis is to fully consider the multi-dimensional characteristics of time, space and application of operation data and the correlation between operation data and influencing factors when a fault occurs in the smart dock device, conduct correlation analysis and information drilling on operation data from multiple dimensions, and use logical causal analysis methods to build an operation fault diagnosis tree;

[0110] By using the running fault diagnosis tree, the fault cause of the smart dock device is excavated 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 handling is to mine the cause of the fault of the smart dock device according to the operation data, and provide auxiliary decision-making for fault handling for the operation and maintenance personnel according to the cause of the fault, quickly handle or isolate the fault source, and realize the rapid collaborative handling of the smart dock device;

[0113] All the above steps together realize the monitoring of the status of the smart dock;

[0114] Summarizing the secondary operation data of the smart dock after the distributed processing, and performing a centralized overall evaluation of the smart dock device based on the secondary operation data to obtain an evaluation result;

[0115] On the cloud platform, the historical data of the operation status of the smart dock equipment is analyzed and counted based on data mining technology, and evaluation results are 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 smart dock;

[0117] The smart dock device includes a distributed monitoring system, a centralized analysis and decision-making center, and a remote wirelessly connected cloud platform data analysis module;

[0118] 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, posture detection equipment, branch valve, draft sensor and water level sensor;

[0119] Among them, the construction of the smart dock detection module includes:

[0120] Acquire normal operation data of the smart dock through the basic equipment of the smart dock device;

[0121] The normal operating data includes: attitude data, ballast data, floating state data, and power data;

[0122] Fitting the attitude data to obtain an attitude function, and obtaining a sinking and floating curve of the dock through the attitude function;

[0123] Based on the sinking and floating curve, a sinking and floating attitude function of the dock draft and the water volume of the dock water tank 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;

[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 tanks, thereby safely lifting the ship to be repaired out of the water and carrying out corresponding dock repair operations;

[0125] Among them, the relationship between the draft and the volume of ballast water during the sinking and floating operation of the dock can be more intuitively expressed through 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 righting moment and trim moment are calculated according to the smart dock draft difference and basic parameters of the smart dock;

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

[0128] Constructing a smart dock loading model according to the dock displacement, smart dock draft difference, dock longitudinal righting moment and trim moment;

[0129] Determine the floating state parameters of the current smart dock through the floating state data and the sinking and floating attitude function, and build a smart dock floating state detection model based on the floating state parameters;

[0130] Based on the smart dock sinking and floating posture model, the smart dock loading model and the smart dock floating state detection model, a smart dock detection module is constructed.

[0131] Among them, the intelligent dock detection module can be used to control the liquid level of each ballast tank in real time. The real-time control is mainly to calculate the amount of water, time, cabin water level, etc. that need to be adjusted when the floating dock is in a reasonable working state;

[0132] Once the dock is built, the equipment it is equipped with, such as the number and type of ballast water pumps, are fixed. Therefore, if you want to adjust the time and efficiency, you only need to adjust the water volume in all ballast water tanks.

[0133] Therefore, through the constructed smart dock detection module, the operating parameters of each model in the smart dock detection module are fed back to the cloud platform in real time. The cloud platform controls the sinking and floating of the smart dock according to the docking requirements of the unmanned ship and the actual parameters of each model.

[0134] Although shortening the range of water volume can increase the adjustment rate, it cannot exceed the range of inclination and deflection requirements;

[0135] Through the cloud platform and smart dock detection module of the present invention, the possible tilt or deformation of the dock during the sinking and floating process can be effectively detected, monitored and controlled in real time, thereby reducing the operating intensity of the crew and enhancing the safety of the ship being repaired during the lifting process. Therefore, the method of the present invention can speed up the sinking and floating speed of the dock and effectively improve efficiency.

[0136] The calculation formula of the smart dock sinking and floating posture model in the sinking and floating control module is as follows:

[0137] in,

[0138]

[0139] in,

[0140] In the formula, A represents the sinking and floating attitude model of the smart dock; F represents the sinking and floating attitude function; α i represents the i-th posture data of the smart dock; n represents the total number of posture data; h represents the ship draft height; v represents the water volume of the dock water tank; G represents the gravity of the smart dock; 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 posture data; v represents the water volume of the dock water tank; δ represents the posture correction coefficient of the smart dock; ζ represents the weighting coefficient; η represents the fitting error.

[0141] The calculation formula of the smart dock loading model in the sinking and floating control module is as follows:

[0142]

[0143] in,

[0144]

[0145] Where, P represents; η represents the loading parameter of the smart dock; V 排The displacement of the dock; Y L Smart dock draft difference; M L represents the longitudinal restoring moment of the dock; ζ L represents the longitudinal righting moment of the dock and the trimming moment; β j represents the coordinate data of the buoyancy center of the i-th dock; k represents the total number of coordinate data of the buoyancy center of the dock; W represents the width of the smart dock; L represents the length of the smart dock; Z represents the attached system coefficient; θ represents the longitudinal inclination angle of the dock; ε represents the liquid level correction coefficient.

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

[0147]

[0148] In the formula, A S represents the smart dock floating state detection model; represents the i-th floating data; m represents the total number of floating data; F represents the sinking and floating posture function; μ represents the floating state parameter; π represents the abnormal signal; ω represents the detection threshold influencing factor; W represents the width of the smart dock; L represents 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 interactive request, the battery module of the smart dock is locked through the cloud platform to obtain the charging and discharging data of the unmanned ship and the power data of the battery module;

[0151] Wherein, the battery module includes: solar power supply equipment, energy storage power supply equipment and inverter equipment;

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

[0153] Based on the matching result, the on / off state of the switch of each power supply device in the power supply module is set, and the power of the power supply device whose switch state is on is adjusted, and the required power of the battery of the unmanned ship is output through the battery module;

[0154] Based on the required power, the battery module of the smart dock is monitored for charging and discharging through the cloud platform to obtain the monitoring results.

[0155] The battery monitoring module monitors the battery module of the smart dock based on the required power through the cloud platform to obtain the monitoring results, including:

[0156] The cloud platform performs threshold monitoring on the received required power and the operating status and environmental parameter data of the battery module of the smart dock collected in real time by the battery intelligent monitoring unit in the cloud platform to obtain the monitoring results;

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

[0158] When the required power, the operating status of the battery module of the smart dock and the environmental parameter data exceed the preset threshold, the monitoring result is displayed as abnormal charging and discharging status, otherwise the monitoring result is displayed as normal charging and discharging status;

[0159] 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;

[0160] Based on the alarm information, the operation and maintenance staff is notified through the cloud platform to inspect and handle the battery modules of the smart dock.

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

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

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

[0164] When the evaluation result shows that the charging and discharging status is normal and the monitoring result shows that the charging and discharging status is normal, the adjustment instruction is to enable the smart dock normally;

[0165] When the evaluation result shows that the charging and discharging status is abnormal, the adjustment instruction is to temporarily suspend the activation of the smart dock;

[0166] When the evaluation result shows an abnormality and the monitoring result shows that the charging and discharging status is normal, the adjustment instruction is to temporarily suspend the activation of the smart dock;

[0167] When the evaluation results show an abnormality and the monitoring results show an abnormal charging and discharging status, the adjustment instruction is to suspend the activation of the smart dock for a long time.

[0168] Embodiment 2:

[0169] The present invention provides a connection diagram of a smart dock device based on an AI unmanned ship. Figure 2 As shown, including:

[0170] It includes 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] Wherein, the cup device, the smart dock detection module and the posture detection device are connected via a wireless transmission network;

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

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

[0174] The branch valves are respectively connected to the draft sensor, the water level sensor and the smart dock water tank pipeline;

[0175] Acquiring the operation data of the smart dock through the cup device;

[0176] Among them, the construction of the smart dock detection module includes:

[0177] Acquire normal operation data of the smart dock through the basic equipment of the smart dock device;

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

[0179] Fitting the attitude data to obtain an attitude function, and obtaining a sinking and floating curve of the dock through the attitude function;

[0180] Based on the sinking and floating curve, a sinking and floating attitude function of the dock draft and the water volume of the dock water tank 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;

[0181] 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 righting moment and trim moment are calculated according to the smart dock draft difference and basic parameters of the smart dock;

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

[0183] Constructing a smart dock loading model according to the dock displacement, smart dock draft difference, dock longitudinal righting moment and trim moment;

[0184] Determine the floating state parameters of the current smart dock through the floating state data and the sinking and floating attitude function, and build a smart dock floating state detection model based on the floating state parameters;

[0185] Based on the smart dock sinking and floating posture model, the smart dock loading model and the smart dock floating state detection model, a smart dock detection module is constructed.

[0186] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0187] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may 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-ROM, optical storage, etc.) containing computer-usable program code.

[0188] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, 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 device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0189] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0190] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0191] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0192] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A smart dock management system based on AI unmanned ships, characterized in that: include: A data interaction module, used to obtain network system parameter information, build a wireless transmission network based on the network system parameter information, and perform data interaction control based on the wireless transmission network according to the interaction request of the unmanned ship; A sinking and floating control module, used to perform a centralized overall evaluation of the pre-installed smart dock device based on the wireless transmission network and according to the interaction request, obtain the evaluation result, and perform sinking and floating control on the smart dock based on the evaluation result; A battery monitoring module is used to monitor the charging and discharging of the battery module of the smart dock through the cloud platform based on the wireless transmission network and the interaction request, and obtain the monitoring results; The control and management module is used to control and manage the smart dock through the cloud platform system according to the evaluation results and charging monitoring results.

2. The system according to claim 1, characterized in that The data interaction module is specifically used for: Obtain the required network system parameter information and calculate the terminal signal-to-noise ratio data; Based on the terminal signal-to-noise ratio data, the transmission power parameters of the unmanned ship, the smart dock and the remote cloud platform are adjusted to obtain matching network data; 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; Performing command analysis on the received interaction request through the cloud platform, determining a feedback command, and sending the feedback command to the unmanned ship and the smart dock; When the smart dock receives the feedback instruction, it unlocks the identification access interface, and the unmanned ship connects to the unlocked access interface of the smart dock according to the real-time instruction; The cloud platform is used to control data interaction between the unmanned ship and the smart dock.

3. The system according to claim 1, characterized in that The sinking and floating control module is specifically used for: Based on the pre-established smart dock device, distributed collection of the model operation parameter data of the smart dock detection module in the smart dock device is performed; Based on the current operation data of the smart dock, the smart dock detection modules are respectively processed in a distributed manner; The distributed processing includes: smart dock status monitoring, risk warning, fault diagnosis and fault handling; Summarizing the secondary operation data of the smart dock after the distributed processing, and performing a centralized overall evaluation of the smart dock device based on the secondary operation data to obtain an evaluation result; 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. 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, posture detection equipment, branch valve, draft sensor and water level sensor; Among them, the construction of the smart dock detection module includes: Acquire normal operation data of the smart dock through the basic equipment of the smart dock device; The normal operating data includes: attitude data, ballast data, floating state data, and power data; Fitting the attitude data to obtain an attitude function, and obtaining a sinking and floating curve of the dock through the attitude function; Based on the sinking and floating curve, a sinking and floating attitude function of the dock draft and the water volume of the dock water tank 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; 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 righting moment and trim moment are calculated according to the smart dock draft difference and basic parameters of the smart dock; The basic parameters of the dock include dock trim angle, dock length, width and dock buoyancy center coordinate data; Constructing a smart dock loading model according to the dock displacement, smart dock draft difference, dock longitudinal righting moment and trim moment; Determine the floating state parameters of the current smart dock through the floating state data and the sinking and floating attitude function, and build a smart dock floating state detection model based on the floating state parameters; Based on the smart dock sinking and floating posture model, the smart dock loading model and the smart dock floating state detection model, a smart dock detection module is constructed.

4. The system according to claim 3, characterized in that The calculation formula of the smart dock sinking and floating posture model in the sinking and floating control module is as follows: in, in, In the formula, A represents the sinking and floating attitude model of the smart dock; F represents the sinking and floating attitude function; α i represents the i-th posture data of the smart dock; n represents the total number of posture data; h represents the ship draft height; v represents the water volume of the dock water tank; G represents the gravity of the smart dock; 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 posture data; v represents the water volume of the dock water tank; δ represents the posture correction coefficient of the smart dock; ζ represents the weighting coefficient; η represents the fitting error.

5. The system according to claim 3, characterized in that The calculation formula of the smart dock loading model in the sinking and floating control module is as follows: in, Where, P represents; η represents the loading parameter of the smart dock; V 排 The displacement of the dock; Y L Smart dock draft difference; M L represents the longitudinal restoring moment of the dock; L represents the longitudinal righting moment of the dock and the trimming moment; β j represents the coordinate data of the buoyancy center of the i-th dock; k represents the total number of coordinate data of the buoyancy center of the dock; W represents the width of the smart dock; L represents the length of the smart dock; Z represents the attached system coefficient; θ represents the longitudinal inclination angle of the dock; ε represents the liquid level correction coefficient.

6. The system according to claim 3, characterized in that The calculation formula of the smart dock floating state detection model in the sinking and floating control module is as follows: In the formula, A S represents the smart dock floating state detection model; represents the i-th floating data; m represents the total number of floating data; F represents the sinking and floating posture function; τ represents the floating state parameter; π represents the abnormal signal; ω represents the detection threshold influencing factor; W represents the width of the smart dock; L represents the length of the smart dock.

7. The system according to claim 1, characterized in that The battery monitoring module is specifically used for: Based on the wireless transmission network and the interactive request, the battery module of the smart dock is locked through the cloud platform to obtain the charging and discharging data of the unmanned ship and the power data of the battery module; Wherein, the battery module includes: solar power supply equipment, energy storage power supply equipment and inverter equipment; According to the charging and discharging data and the power data, the power requirement of the battery of the unmanned ship is determined, and based on the power requirement, the battery interface and connection mode of the battery module matching the smart dock are matched through the cloud platform to obtain the matching result; Based on the matching result, the on / off state of the switch of each power supply device in the power supply module is set, and the power of the power supply device whose switch state is on is adjusted, and the required power of the battery of the unmanned ship is output through the battery module; Based on the required power, the battery module of the smart dock is monitored for charging and discharging through the cloud platform to obtain the monitoring results.

8. The system of claim 1, wherein: The battery monitoring module monitors the battery module of the smart dock based on the required power through the cloud platform to obtain the monitoring results, including: The cloud platform performs threshold monitoring on the received required power and the operating status and environmental parameter data of the battery module of the smart dock collected in real time by the battery intelligent monitoring unit in the cloud platform to obtain the monitoring results; The monitoring results are: normal charging and discharging state and abnormal charging and discharging state; When the required power, the operating status of the battery module of the smart dock and the environmental parameter data exceed the preset threshold, the monitoring result is displayed as abnormal charging and discharging status, otherwise the monitoring result is displayed as normal charging and discharging status; 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; Based on the alarm information, the operation and maintenance staff is notified through the cloud platform to inspect and handle the battery modules of the smart dock.

9. The system according to claim 1, characterized in that The control management module is specifically used for: The evaluation results and monitoring results are sent to the intelligent management terminal through the cloud platform, and the adjustment instructions are generated by the intelligent management terminal; The adjustment instructions include: normal activation of the smart dock, short-term suspension of the smart dock, and long-term suspension of the smart dock; When the evaluation result shows that the charging and discharging status is normal and the monitoring result shows that the charging and discharging status is normal, the adjustment instruction is to enable the smart dock normally; When the evaluation result shows that the charging and discharging status is abnormal, the adjustment instruction is to temporarily suspend the activation of the smart dock; When the evaluation result shows an abnormality and the monitoring result shows that the charging and discharging status is normal, the adjustment instruction is to temporarily suspend the activation of the smart dock; When the evaluation results show an abnormality and the monitoring results show an abnormal charging and discharging status, the adjustment instruction is to suspend the activation of the smart dock for a long time.

10. A smart dock device based on AI unmanned ship, characterized in that: It includes one or more of the following devices: cup device, smart dock detection module, attitude detection device, branch valve, draft sensor and water level sensor; Wherein, the cup device, the smart dock detection module and the posture detection device are connected via a wireless transmission network; The cup device is connected to the unmanned ship and the cloud platform respectively through the wireless transmission network; The draft sensor and the water level sensor are electrically connected to the smart dock detection module respectively; The branch valves are respectively connected to the draft sensor, the water level sensor and the smart dock water tank pipeline; Acquiring the operation data of the smart dock through the cup device; Among them, the construction of the smart dock detection module includes: Acquire normal operation data of the smart dock through the basic equipment of the smart dock device; The normal operating data includes: attitude data, ballast data, floating state data, and power data; Fitting the attitude data to obtain an attitude function, and obtaining a sinking and floating curve of the dock through the attitude function; Based on the sinking and floating curve, a sinking and floating attitude function of the dock draft and the water volume of the dock water tank 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; 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 righting moment and trim moment are calculated according to the smart dock draft difference and basic parameters of the smart dock; The basic parameters of the dock include dock trim angle, dock length, width and dock buoyancy center coordinate data; Constructing a smart dock loading model according to the dock displacement, smart dock draft difference, dock longitudinal righting moment and trim moment; Determine the floating state parameters of the current smart dock through the floating state data and the sinking and floating attitude function, and build a smart dock floating state detection model based on the floating state parameters; Based on the smart dock sinking and floating posture model, the smart dock loading model and the smart dock floating state detection model, a smart dock detection module is constructed.

Images