A ship electromechanical integrated information monitoring system

Abstract

The application discloses a ship electromechanical comprehensive information monitoring system and relates to the technical field of ship information monitoring.The system comprises an electromechanical equipment efficiency-power module, an inertial sensor module, a ship-to-water flow speed calculation module, an error speed calculation module, an electromechanical equipment output power correction module and a comprehensive analysis management module, realizes analysis of the relationship between the current efficiency and the output power of electromechanical equipment according to the working state of the electromechanical equipment, and outputs the highest efficiency electromechanical equipment output power in the planned speed range of the ship according to the analysis, so that the effect of energy saving and cost reduction is achieved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of ship information monitoring, and particularly relates to a ship electromechanical comprehensive information monitoring system. BACKGROUND

[0002] With the development of industry and the trend of intelligent ships, traditional manual inspection cannot meet the requirements of efficient management. The technology realizes real-time collection of electromechanical equipment data through deployment of a multi-source sensor network and an Internet of Things architecture, and realizes state monitoring and fault early warning by combining edge computing and cloud computing. The prior art with publication number CN118298526A discloses a ship equipment operation state monitoring and fault diagnosis method and system, which comprises the following steps: collecting ship electromechanical equipment operation data and ship electromechanical equipment information and performing corresponding association processing; classifying and processing the operation data of ship electromechanical equipment belonging to different types according to the type information of the electromechanical equipment; constructing a fault diagnosis model library for each type of ship electromechanical equipment, and each type of fault diagnosis model library includes several typical fault diagnosis models of the type of ship electromechanical equipment; inputting the operation data of each type of ship electromechanical equipment into the corresponding type of fault diagnosis model library one by one for fault diagnosis, and obtaining the fault diagnosis result of each ship electromechanical equipment; and filtering fault ship electromechanical equipment according to the fault diagnosis result of each ship electromechanical equipment, and displaying the position and fault content of the fault ship electromechanical equipment. However, the prior art generally judges whether the working state of the ship electromechanical equipment is normal based on the ship electromechanical comprehensive information obtained by monitoring, and still lacks comprehensive analysis of the sailing state of the ship and the state of the electromechanical equipment, adjustment of the electromechanical equipment according to the current sailing state of the ship and the state of the electromechanical equipment, and the like, so that the work of the electromechanical equipment is more efficient and energy-saving, so as to reduce the cost to a certain extent, and the comprehensive information monitoring system can display information on a joint display screen to provide auxiliary decision support for managers. SUMMARY

[0003] The purpose of the present application is to provide a ship electromechanical comprehensive information monitoring system to solve the above problems in the prior art.

[0004] In order to achieve the above purpose, the present application provides the following technical scheme:

[0005] A ship electromechanical comprehensive information monitoring system comprises an electromechanical equipment state monitoring module and an electromechanical equipment state judgment module, and further comprises:

[0006] An electromechanical equipment efficiency-power module is configured to perform regression analysis of the efficiency and power of the electromechanical equipment based on the working state data of the electromechanical equipment, and generate an electromechanical equipment efficiency-power regression model.

[0007] The ship-to-water flow speed calculation module is configured to perform ship-to-water flow speed calculation processing based on the electromechanical equipment working state data, the ship load data, and a ship-to-water flow speed-power load model, and generate ship-to-water flow speed data.

[0008] The inertial sensor module is configured to collect ship inertial data.

[0009] The error speed calculation module is configured to perform ship error speed calculation processing based on the ship inertial data and the ship-to-water flow speed data, and generate ship error speed data.

[0010] The electromechanical equipment output power correction module is configured to perform electromechanical equipment power interval data analysis processing based on the ship error speed data, ship planned sailing speed interval data, and a ship-to-water flow speed-power load model, and generate electromechanical equipment output power interval correction data.

[0011] The comprehensive analysis management module is configured to perform electromechanical equipment output power analysis processing at the maximum efficiency in the electromechanical equipment output power interval correction data range based on the electromechanical equipment efficiency-power regression model, and generate optimal efficiency electromechanical equipment output power analysis data.

[0012] Optionally, the electromechanical equipment state monitoring module is configured to collect electromechanical equipment working state data. , , represents the wth electromechanical equipment working state data, represents the maximum number of electromechanical equipment, represents the uth electromechanical equipment working state data in the set, represents the maximum number of electromechanical equipment working state data types.

[0013] Optionally, the electromechanical equipment state judgment module is configured to analyze and process whether the electromechanical equipment working state is abnormal based on the electromechanical equipment working state data, and the specific method is as follows:

[0014] S21, collect electromechanical equipment abnormal state type state feature data, and generate an electromechanical equipment abnormal state type state feature data set , , represents the qth electromechanical equipment abnormal state type state feature data, represents the maximum number of electromechanical equipment abnormal state types.

[0015] S22, search the electromechanical equipment abnormal state type state feature data set C for the electromechanical equipment working state data Matched electromechanical equipment abnormal state type state feature data If no match , the corresponding electromechanical equipment is normal, otherwise, the electromechanical equipment is abnormal and output Generate electromechanical equipment abnormal state type analysis data .

[0016] Optionally, the electromechanical equipment efficiency-power module of the present application generates electromechanical equipment efficiency-power regression model in the following specific way:

[0017] S31, by carrying out efficiency-power regression analysis on the electromechanical equipment working state data , generate electromechanical equipment efficiency-power regression model ;

[0018] S32, the electromechanical equipment efficiency-power regression model Collect and generate a set of electromechanical equipment efficiency-power regression models .

[0019] Optionally, the ship against water flow speed calculation module of the present application generates ship against water flow speed data in the following specific way:

[0020] S51, collect ship historical electromechanical equipment output power, ship load data, transmission efficiency, propeller efficiency and ship against water flow speed data, carry out regression analysis of ship against water flow speed and electromechanical equipment output power and ship load data relationship, generate ship against water flow speed-power load model; S52, collect ship load data M, obtain ship main engine output power data , transmission efficiency and propeller efficiency ;

[0021] S53, input the ship load data M, ship main engine output power data , transmission efficiency and propeller efficiency into the ship against water flow speed-power load model, and calculate the ship against water flow speed data .

[0022] Optionally, the ship against water flow speed-power load model of the present application is:

[0023]

[0024] Wherein, is the error term, to The influence coefficient of the corresponding item.

[0025] Optionally, the specific manner of the error speed calculation module of the present application generating the ship error speed data is as follows:

[0026] S61, based on the ship inertia data , the ship speed calculation processing is performed in relation to the change over time, and the ship speed data V is generated;

[0027] S62, based on the ship speed data V and the ship water flow speed data , the ship error speed is calculated, and the ship error speed data is generated.

[0028] Optionally, the specific manner of the mechanical and electrical equipment output power correction module of the present application generating the mechanical and electrical equipment output power interval correction data is as follows:

[0029] S71, the ship planned sailing speed interval data is collected;

[0030] S72, based on the ship error speed data and the ship planned sailing speed interval data , the ship water flow speed when the ship sails at the planned sailing speed is calculated and processed, and the ship planned water flow speed interval data is generated;

[0031] S73, the ship planned water flow speed interval data , the ship deadweight data M, the transmission efficiency and the propeller efficiency are input into the ship water flow speed-power deadweight model, and the mechanical and electrical equipment output power interval correction data is generated.

[0032] Optionally, the specific manner of the comprehensive analysis and management module of the present application generating the optimal efficiency mechanical and electrical equipment output power analysis data is as follows:

[0033] S81, in the mechanical and electrical equipment efficiency-power regression model corresponding to the ship main engine, the mechanical and electrical equipment output power interval correction data corresponds to the interval, and the mechanical and electrical equipment output power corresponding to the highest mechanical and electrical equipment efficiency is searched out, and the optimal efficiency mechanical and electrical equipment output power analysis data is generated;

[0034] S82, the mechanical and electrical equipment working state data set A, the mechanical and electrical equipment abnormal state type analysis data , the ship inertia data set D, the ship speed data V and the optimal efficiency mechanical and electrical equipment output power analysis data The collected and combined data is used to generate ship comprehensive information monitoring and management data G;

[0035] S83, monitoring information feedback operation is performed according to the ship comprehensive information monitoring and management data G, and the optimal efficiency electromechanical equipment output power analysis data in the ship comprehensive information monitoring and management data G is used to analyze the ship main engine power adjustment operation. The ship main engine power adjustment operation is performed.

[0036] Optionally, the specific process of generating the optimal efficiency electromechanical equipment output power analysis data in the present application is as follows:

[0037] S811, initialize algorithm parameters, electromechanical equipment output power search particle population number N, maximum iteration number T, and crowding degree threshold

[0038] S812, correct the electromechanical equipment output power interval data corresponding to the interval, randomly generate N electromechanical equipment output power search particles;

[0039] S813, calculate the fitness value of each electromechanical equipment output power search particle;

[0040] S814, calculate the Euclidean distance between each electromechanical equipment output power search particle i and other electromechanical equipment output power search particles j

[0041] S815, count the number of other electromechanical equipment output power search particles j around each electromechanical equipment output power search particle i that satisfy generate neighbor particle number data , is the set crowding degree threshold value judgment radius;

[0042] S816, judge whether the is greater than the crowding degree threshold value , if yes, reduce the local learning factor , increase the inertia weight w, and the formula is as follows:

[0043] Reduce the learning factor:

[0044]

[0045] Increase the inertia weight:

[0046]

[0047] S817, update the electromechanical equipment output power search particle speed, and the formula is as follows:

[0048] ​​​​ ;

[0049] Where t represents the current iteration number, Represents the global learning factor. , for Uniformly distributed random numbers This indicates the historical best fitness position of particle i in the search for the output power of the motor device. This represents the position with the best fitness among all the search particles for the output power of the motor equipment. The higher the fitness, the higher the efficiency of the electromechanical equipment.

[0050] S818, the motor equipment output power search particles move to the new position with the updated motor equipment output power search particle velocity, and calculate the fitness value of each motor equipment output power search particle, and update... and The position update formula is as follows:

[0051] ;

[0052] ;

[0053] in, , Correction data for the output power range of electromechanical equipment The minimum and maximum values, Data correction is used to limit the updated positions of search particles related to the output power of motor equipment to within the range of the output power of electromechanical equipment. Within the range;

[0054] S819. Determine if the maximum set number of iterations T has been reached. If not, return to S814; otherwise, output... The corresponding output power of the electromechanical equipment is used to generate optimal efficiency electromechanical equipment output power analysis data. .

[0055] Beneficial effects

[0056] First, compared with the prior art, the ship electromechanical integrated information monitoring system provided by the present invention, by setting up an electromechanical equipment efficiency-power module, an inertial sensor module, a ship-to-water-flow speed calculation module, an error speed calculation module, an electromechanical equipment output power correction module, and a comprehensive analysis and management module, realizes the analysis of the relationship between the current efficiency and output power of the electromechanical equipment based on the working status of the electromechanical equipment, so as to find the output power of the electromechanical equipment with the highest efficiency within the planned speed range of the ship, thereby achieving the effect of energy saving and cost reduction.

[0057] Secondly, compared with the prior art, the ship electromechanical integrated information monitoring system provided by the application can judge the working state of the electromechanical equipment on the ship through the electromechanical equipment state monitoring module and the electromechanical equipment state judgment module, and comprehensively and real-timely provide the display push, alarm display and auxiliary decision support based on the ship integrated information monitoring management data G for the managers through the comprehensive analysis management module and the multi-screen combined information comprehensive display module composed of the joint display screen and the comprehensive command display unit, so as to improve the situation information perception ability. BRIEF DESCRIPTION OF DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description only represent some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0059] Figure 1 The system structure block diagram provided by the embodiment of the present application is provided.

[0060] Figure 2 The system working step diagram provided by the embodiment of the present application is provided. DETAILED DESCRIPTION

[0061] In order to make those skilled in the art better understand the technical solutions of the present application, the present application will be further described in detail with reference to the drawings.

[0062] In the following, example embodiments will be described more fully with reference to the accompanying drawings, in which example embodiments can be embodied in different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0063] In the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0064] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0065] The terms used herein are only used to describe specific embodiments, and are not intended to limit the present disclosure. As used herein, the singular forms "a" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that when the terms "comprise" and / or "consist of" are used in the specification, the specified features, integers, steps, operations, elements, and / or components are present, but one or more additional features, integers, steps, operations, elements, components, and / or groups thereof can be present.

[0066] Embodiments described herein can be described with reference to plan views and / or cross-sectional views by virtue of the fact that the disclosed embodiments are idealized illustrations. Thus, the example illustrations can be modified according to manufacturing techniques and / or tolerances. Therefore, embodiments are not limited to the embodiments illustrated in the drawings, but include modifications based on manufacturing processes. Thus, the zones illustrated in the drawings have schematic properties, and the shapes of the zones shown in the drawings illustrate the specific shape of the zones of the elements, but are not intended to be limiting.

[0067] As Figure 1 illustrated, the embodiment of the application is a ship electromechanical integrated information monitoring system, which comprises an electromechanical equipment state monitoring module and an electromechanical equipment state judgment module, and further comprises:

[0068] The electromechanical equipment state monitoring module is configured to monitor electromechanical equipment working state data.

[0069] The electromechanical equipment state judgment module is configured to analyze and process whether the electromechanical equipment working state is abnormal based on the electromechanical equipment working state data and the electromechanical equipment abnormal state type state characteristic data.

[0070] The electromechanical equipment efficiency-power module is configured to perform regression analysis on the electromechanical equipment efficiency and power based on the electromechanical equipment working state data, and generate an electromechanical equipment efficiency-power regression model.

[0071] The ship against water flow speed calculation module is configured to perform ship against water flow speed calculation processing based on the electromechanical equipment working state data, ship load data, and a ship against water flow speed-power load model, and generate ship against water flow speed data.

[0072] The inertial sensor module is configured to collect ship inertia data.

[0073] The error speed calculation module is configured to perform ship error speed calculation processing based on the ship inertia data and the ship against water flow speed data, and generate ship error speed data.

[0074] The electromechanical equipment output power correction module is configured to perform electromechanical equipment power interval data analysis processing of the ship when the ship is sailing in the ship planned sailing speed interval data based on the ship error speed data, ship planned sailing speed interval data, and a ship against water flow speed-power load model, and generate electromechanical equipment output power interval correction data.

[0075] The comprehensive analysis management module is configured to perform electromechanical equipment output power analysis processing of the maximum efficiency in the electromechanical equipment output power interval correction data range based on the electromechanical equipment efficiency-power regression model, and generate optimal efficiency electromechanical equipment output power analysis data.

[0076] The embodiment of the application realizes analysis of the current efficiency and output power relationship of the electromechanical equipment according to the working state of the electromechanical equipment, so as to output the power of the electromechanical equipment with the highest efficiency in the planned speed range of the ship according to the analysis, so as to achieve the effect of energy saving and cost reduction.

[0077] The specific working process of each module is described in detail as follows, Figure 2

[0078] The electromechanical equipment state monitoring module monitors the working state data of the electromechanical equipment, and the specific working process is as follows:

[0079] By monitoring the working state of the electromechanical equipment, a set of electromechanical equipment working state data is generated The wth electromechanical equipment working state data is represented by The uth electromechanical equipment working state data in is represented by The maximum number of electromechanical equipment is represented by The maximum number of electromechanical equipment working state data types is represented by

[0080] The electromechanical equipment includes but is not limited to 1. Power system equipment, such as main engine: diesel engine, steam turbine or gas turbine, etc.; transmission device: including reduction gear box, shafting (propulsion shaft, bearing), propeller, etc.; exhaust turbocharger, used for improving the intake efficiency of the main engine and optimizing combustion. 2. Power system equipment, such as generator set (auxiliary machine): diesel generator or shaft-mounted generator, providing power for the whole ship; power distribution system: main distribution board, emergency distribution board, transformer and cable network; battery pack: used for emergency power supply or small equipment power supply. 3. Auxiliary mechanical equipment, such as pump: fuel pump, cooling water pump, ballast pump, fire pump, bilge pump, etc.; compressor: air compressor (used for starting the main engine or control system), refrigeration compressor; heat exchanger: cooler (sea water / fresh water), lubricating oil cooler, condenser, etc.; deck machinery: steering engine, anchor engine, winch, cargo winch (such as crane, cargo crane). 4. Other key equipment, such as fuel handling system: oil separator, filter, fuel heater; ballast water treatment system: filter or chemical treatment device to prevent biological invasion; anti-pollution equipment: oil-water separator, domestic sewage treatment device. The working state data of the electromechanical equipment can be temperature, vibration frequency, rotating speed, output power, pressure, torque, draft, voltage, current, efficiency, etc.

[0081] The electromechanical equipment state judgment module analyzes and processes whether the working state of the electromechanical equipment is abnormal; the specific working process is as follows:

[0082] ​​​​​S21, collect machine tool abnormal state type state feature data to generate machine tool abnormal state type state feature data set , , represents the qth machine tool abnormal state type state feature data, represents the maximum number of machine tool abnormal state types;

[0083] S22, search machine tool abnormal state type state feature data set C for machine tool working state data matching machine tool abnormal state type state feature data , if no matching , the corresponding machine tool is normal, otherwise, the machine tool is abnormal and outputs generate machine tool abnormal state type analysis data .

[0084] This step can be realized based on K-nearest neighbor algorithm, specifically including the following steps: (1) data preprocessing, such as using Z-Score normalization to eliminate dimension influence; using PCA or t-SNE to extract key features; labeling normal / abnormal class labels; (2) dividing training set and test set; determining Euclidean distance or Manhattan distance for distance measurement, and determining K value. (3) judging whether the input data is abnormal through calculating the class of K nearest neighbors of the input data and voting mechanism.

[0085] The machine tool efficiency-power module generates machine tool efficiency-power regression model; the specific working process is:

[0086] S31, through efficiency-power regression analysis on machine tool working state data , generate machine tool efficiency-power regression model .

[0087] S32, collect machine tool efficiency-power regression model , generate machine tool efficiency-power regression model set .

[0088] The inertial sensor module collects ship inertia data; the specific working process is:

[0089] Collecting inertia data of ship motion through inertial sensor to generate ship inertia data set , , represents the oth ship inertia data, The maximum number of categories of ship inertia data, wherein the categories of ship inertia data can be acceleration, inclination, impact, vibration, rotation, and multi-degree-of-freedom (DoF) motion, etc.

[0090] The ship-to-water flow velocity calculation module generates ship-to-water flow velocity data; the specific working process is as follows:

[0091] S51, collect ship historical mechanical and electrical equipment output power, ship load data, transmission efficiency, propeller efficiency and ship-to-water flow velocity data, perform regression analysis on the relationship between ship-to-water flow velocity and mechanical and electrical equipment output power and ship load data, and generate a ship-to-water flow velocity-power load model.

[0092] This step also needs to consider the influence of transmission efficiency and propeller efficiency on the ship-to-water flow velocity when establishing the regression model, and obtain the model, for example:

[0093] ;

[0094] wherein, is an error term, to is the influence coefficient of the corresponding term, , transmission efficiency and propeller efficiency, respectively, and M is the ship load. , can be obtained through the efficiency corresponding to the mechanical and electrical equipment working state data set A.

[0095] S52, collect ship load data M through a pressure sensor, and obtain ship main engine output power data , transmission efficiency and propeller efficiency through the mechanical and electrical equipment working state data set A.

[0096] S53, input the ship load data M, ship main engine output power data , transmission efficiency and propeller efficiency into the ship-to-water flow velocity-power load model, and obtain ship-to-water flow velocity data .

[0097] The error velocity calculation module generates ship error velocity data; the specific working process is as follows:

[0098] S61, based on the relationship between ship inertia data and time, perform ship speed calculation processing to generate ship speed data V.

[0099] ​S62, Based on ship speed data V and ship velocity relative to water flow data Calculate the ship's error speed and generate ship error speed data. ,in V and All are velocity vectors.

[0100] The electromechanical equipment output power correction module generates output power range correction data for the electromechanical equipment; the specific working process is as follows:

[0101] S71. Collect data on the planned sailing speed range of ships. ;

[0102] S72, Based on ship error speed data and ship planned sailing speed range data The system calculates and processes the ship's speed relative to the current as it travels at its planned speed, generating data on the ship's planned speed range relative to the current. ;

[0103] S73, Data on planned ship speed intervals relative to water flow Ship deadweight data M, transmission efficiency propeller efficiency Input the ship's velocity-power-load model relative to water flow, and generate corrected data for the output power range of electromechanical equipment. .

[0104] The comprehensive analysis and management module generates output power analysis data for optimal-efficiency electromechanical equipment; the specific working process is as follows:

[0105] S81. Efficiency-Power Regression Model of Electromechanical Equipment Corresponding to Ship's Main Engine Correction data for the output power range of electromechanical equipment For the corresponding interval, search for the output power of the electromechanical equipment when its efficiency is highest, and generate optimal efficiency electromechanical equipment output power analysis data, including the following steps:

[0106] S811. Initialize algorithm parameters: output power of electromechanical equipment, number of search particles N, maximum number of iterations T, and crowding threshold. ;

[0107] S812, Correcting data within the output power range of electromechanical equipment. For the corresponding interval, randomly generate N search particles for the output power of electromechanical equipment;

[0108] S813. Calculate the fitness value of the search particles for the output power of each motor device;

[0109] S814, calculate the Euclidean distance between each motor equipment output power search particle i and other motor equipment output power search particle j, the formula is as follows:

[0110] ;

[0111] Wherein, represents the position of the motor equipment output power search particle i, represents the position of the motor equipment output power search particle j;

[0112] S815, count the number of other motor equipment output power search particles j that satisfy around each motor equipment output power search particle i, generate neighbor particle number data , is the judgment radius of the set crowding degree threshold value;

[0113] S816, judge whether it is greater than the crowding degree threshold value , if yes, reduce the local learning factor , increase the inertia weight w, the formula is as follows:

[0114] Reduce the learning factor:

[0115] ;

[0116] Increase the inertia weight:

[0117] ;

[0118] S817, update the motor equipment output power search particle speed, the formula is as follows:

[0119] ,

[0120] Wherein, t represents the current iteration number, represents the global learning factor, , is a random number uniformly distributed on , represents the historical best fitness position of the motor equipment output power search particle i, represents the position with the best fitness among all motor equipment output power search particles, wherein the higher the fitness, the higher the motor equipment efficiency;

[0121] S818, the motor equipment output power search particle moves to a new position with the updated motor equipment output power search particle speed, and calculates the fitness value of each motor equipment output power search particle, updates and ​, the position updating formula is as follows:

[0122] ;

[0123] ;

[0124] wherein, , are minimum and maximum values of the electromechanical equipment output power interval correction data respectively, for limiting the updated position of the electromechanical equipment output power searching particle within the range of the electromechanical equipment output power interval correction data ;

[0125] S819, determine whether the maximum iteration number T is reached, if not, return to S814, if yes, output corresponding electromechanical equipment output power, and generate optimal efficiency electromechanical equipment output power analysis data ;

[0126] S82, collect and combine the electromechanical equipment working state data set A, electromechanical equipment abnormal state type analysis data , ship inertia data set D, ship speed data V and optimal efficiency electromechanical equipment output power analysis data to generate ship comprehensive information monitoring and management data G;

[0127] S83, execute monitoring information feedback work according to the ship comprehensive information monitoring and management data G, and execute ship main engine power regulation work according to the optimal efficiency electromechanical equipment output power analysis data in the ship comprehensive information monitoring and management data G.

[0128] The system of the embodiment further includes a display module and a manual operation module, the display module is used for visual display of the ship comprehensive information monitoring and management data G, and the manual operation module is used for manual control and adjustment of the system by management personnel. The display module can be a multi-screen combined information comprehensive display pushing and early warning content composed of a joint display screen and a comprehensive command display unit, which comprehensively and real-timely provides display pushing, alarm display and auxiliary decision support based on the ship comprehensive information monitoring and management data G for the management personnel, so as to improve the situation information perception ability. The joint display screen and the comprehensive command display unit are a plurality of display screens physically spliced into a large screen (such as an LED / LCD splicing screen), and the multi-screen cooperation is realized through an operating system or software (such as the "extended display" of Windows and NVIDIA Surround).

[0129] The foregoing merely illustrates some exemplary embodiments of the application, and it will be appreciated that those skilled in the art will be able to devise various modifications without departing from the spirit and scope of the application. The appended drawings and description are illustrative only, and are not intended to be limiting.

Claims

1. A ship electromechanical integrated information monitoring system, comprising an electromechanical equipment status monitoring module and an electromechanical equipment status judgment module, characterized in that, Also includes: The electromechanical equipment efficiency-power module is used to perform regression analysis on the efficiency and power of electromechanical equipment based on the operating status data of electromechanical equipment, and generate an electromechanical equipment efficiency-power regression model. The ship velocity calculation module is used to calculate the ship velocity against the current based on the working status data of electromechanical equipment, the ship's load data, and the ship velocity-power load model against the current, and generate ship velocity data against the current. Inertial sensor module, used to collect ship inertial data; The error speed calculation module is used to perform ship error speed calculation processing based on the ship inertial data and the ship's velocity against the water flow data, and generate ship error speed data. The electromechanical equipment output power correction module is used to analyze and process the electromechanical equipment power range data when the ship is sailing in the planned navigation speed range data based on the ship error speed data, the ship's planned navigation speed range data and the ship's water flow speed-power load model, and generate electromechanical equipment output power range correction data. The comprehensive analysis and management module is used to perform output power analysis and processing of electromechanical equipment at the maximum efficiency within the range of the corrected data for the output power range of the electromechanical equipment based on the electromechanical equipment efficiency-power regression model, and to generate output power analysis data of the electromechanical equipment with the best efficiency. The ship-to-water-current velocity calculation module generates ship-to-water-current velocity data, including the following steps: S51. Collect historical data on ship's electromechanical equipment output power, ship load, transmission efficiency, propeller efficiency, and ship's speed relative to water flow. Perform regression analysis on the relationship between ship's speed relative to water flow, electromechanical equipment output power, and ship load data to generate a ship speed relative to water flow - power load model. S52. Collect ship load capacity data M, and obtain ship main engine output power data through the electromechanical equipment operating status data set A. Transmission efficiency propeller efficiency ; S53, transfer the ship's load capacity data M and the ship's main engine output power data. Transmission efficiency propeller efficiency Input the ship's velocity-power-load model relative to the water flow to calculate the ship's velocity relative to the water flow. ; The ship's velocity-power-load model relative to water flow is as follows: ； in, For error terms, This represents the influence coefficient of the corresponding item.

2. The ship electromechanical integrated information monitoring system according to claim 1, characterized in that, It includes an electromechanical equipment status monitoring module and an electromechanical equipment status judgment module. The electromechanical equipment status monitoring module is used to collect electromechanical equipment operating status data as follows: , , This represents the operating status data of the w-th electromechanical device. Indicates the maximum number of electromechanical equipment. express Operating status data of Class u electromechanical equipment in China The maximum number of data types representing the working status of electromechanical equipment.

3. The ship electromechanical integrated information monitoring system according to claim 2, characterized in that, The electromechanical equipment status judgment module is used to analyze and process whether the electromechanical equipment's operating status is abnormal based on the electromechanical equipment's operating status data, including the following steps: S21. Collect status feature data of abnormal status types of electromechanical equipment and generate a set of status feature data of abnormal status types of electromechanical equipment. , , This represents the state characteristic data of the abnormal state type of the q-th type of electromechanical equipment. This indicates the maximum number of abnormal status types for electromechanical equipment; S22. Search the electromechanical equipment abnormal state type state feature data set C for data that matches the electromechanical equipment working state data. Matching electromechanical equipment abnormal status type status feature data ,like No match Then the The corresponding electromechanical equipment is normal; otherwise, the electromechanical equipment is abnormal and outputs an error message. Generate analysis data on abnormal status types of electromechanical equipment .

4. The ship electromechanical integrated information monitoring system according to claim 1, characterized in that, The electromechanical equipment efficiency-power module generates an electromechanical equipment efficiency-power regression model, including the following steps: S31. By performing efficiency-power regression analysis on the operating status data of electromechanical equipment, an efficiency-power regression model for electromechanical equipment is generated. ; S32. The efficiency-power regression model of the aforementioned electromechanical equipment Collect and generate a set of electromechanical equipment efficiency-power regression models. .

5. The ship electromechanical integrated information monitoring system according to claim 1, characterized in that, The error speed calculation module generates ship error speed data, including the following steps: S61, Based on ship inertial data The relationship between the ship's speed and time is analyzed to calculate and process the ship's speed data V. S62, Based on ship speed data V and ship velocity relative to water flow data Calculate the ship's error speed and generate ship error speed data. .

6. The ship electromechanical integrated information monitoring system according to claim 1 or 5, characterized in that, The electromechanical equipment output power correction module generates electromechanical equipment output power range correction data, including the following steps: S71. Collect data on the planned sailing speed range of ships. ; S72, Based on ship error speed data and ship planned sailing speed range data The system calculates and processes the water flow velocity when the ship is traveling at its planned speed, generating data on the planned water flow velocity range for the ship. ; S73, The ship's planned water flow speed range data The ship's load capacity data M and transmission efficiency. propeller efficiency Input the ship's water flow velocity-power load model to generate corrected data for the output power range of electromechanical equipment. .

7. The ship electromechanical integrated information monitoring system according to claim 6, characterized in that, The comprehensive analysis and management module generates output power analysis data for optimal efficiency electromechanical equipment, including the following steps: S81. Efficiency-Power Regression Model of Electromechanical Equipment Corresponding to Ship's Main Engine Correction data for the output power range of electromechanical equipment Within the corresponding interval, the output power of the electromechanical equipment at which the efficiency is highest is searched, and the optimal efficiency electromechanical equipment output power analysis data is generated. ; S82. Analyze the electromechanical equipment operating status data set A and the electromechanical equipment abnormal status type data. Ship inertial data set D, ship speed data V, and optimal efficiency electromechanical equipment output power analysis data. Collect and combine data to generate integrated ship information monitoring and management data G; S83. Perform monitoring information feedback operations based on the ship integrated information monitoring and management data G, and analyze the output power of the best-efficiency electromechanical equipment based on the ship integrated information monitoring and management data G. Perform ship main engine power adjustment operations.

8. The ship electromechanical integrated information monitoring system according to claim 7, characterized in that, The specific process of step S81 is as follows: S811. Initialize algorithm parameters: output power of electromechanical equipment, number of search particles N, maximum number of iterations T, and crowding threshold. ; S812, Correct data within the output power range of the electromechanical equipment. For the corresponding interval, randomly generate N search particles for the output power of electromechanical equipment; S813. Calculate the fitness value of the search particles for the output power of each motor device; S814. Calculate the Euclidean distance between each motor device output power search particle i and other motor device output power search particles j. ; S815, Statistically analyze the output power of each motor device and search for particles i around them that satisfy... The output power of other motor devices searches for the number of particles j, generating neighbor particle count data. , The radius for judging the set congestion threshold; S816, Determine the above Is it greater than the crowding threshold? If so, then reduce the local learning factor. Increase the inertia weight w, as shown in the following formula: Reduce the learning factor: ； Increase inertia weight: ； S817. Update the output power of the motor equipment to search for particle velocity, using the following formula: ； Where t represents the current iteration number, Represents the global learning factor. , for Random numbers that are uniformly distributed on the upper surface. This indicates the historical best fitness position of particle i in the search for the output power of the motor device. This represents the position with the best fitness among all the search particles for the output power of the motor equipment. The higher the fitness, the higher the efficiency of the electromechanical equipment. S818, the motor equipment output power search particles move to the new position at the updated motor equipment output power search particle velocity, and calculate the fitness value of each motor equipment output power search particle, and update... and The position update formula is as follows: ； ； in, , Correction data for the output power range of electromechanical equipment The minimum and maximum values, Data used to correct the position of the search particles for the output power of the motor equipment, limiting their updated positions to the range of the output power of the electromechanical equipment. Within the range; S819. Determine if the set maximum number of iterations T has been reached. If not, return to S814; otherwise, output... The corresponding output power of the electromechanical equipment is used to generate optimal efficiency electromechanical equipment output power analysis data. .

Images