Marine electromechanical comprehensive information monitoring system

Abstract

The invention discloses a ship electromechanical comprehensive information monitoring system, which relates to the technical field of ship information monitoring and comprises an electromechanical equipment efficiency-power module, an inertial sensor module, a ship water flow velocity calculation module, an error velocity calculation module, an electromechanical equipment output power correction module and a comprehensive analysis management module, the relation between the current efficiency and the output power of the electromechanical equipment is analyzed according to the working state of the electromechanical equipment, so that the output power of the electromechanical equipment with the highest efficiency within the planned speed range of the ship is analyzed, and the effects of saving energy and reducing cost are 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 method for the error speed calculation module of the present application to generate the ship error speed data is as follows:

[0026] S61, based on the ship inertia data , the ship speed calculation processing is performed according to the change relationship with 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 method for the mechanical and electrical equipment output power correction module of the present application to generate 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 method for the comprehensive analysis and management module of the present application to generate 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 is performed according to the ship comprehensive information monitoring and management data G, and the output power analysis data of the best efficiency electromechanical equipment is analyzed according to the ship comprehensive information monitoring and management data G The ship main engine power adjustment operation is performed.

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

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

[0038] S812, correct the electromechanical equipment output power interval data corresponding 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, 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, the formula is as follows:

[0048] ​​​​ ;

[0049] Where t represents the current iteration number, represents the global learning factor, 、 for A random number uniformly distributed on Represents the historical best fitness position of the motor device output power search particle i, Represents the position of the best fitness among all motor equipment output power search particles, where the higher the fitness, the higher the efficiency of the corresponding electromechanical equipment;

[0050] S818, the motor device output power search particle moves to the new position with the updated motor device output power search particle speed, and calculates the fitness value of each motor device output power search particle, and updates and , the position update formula is as follows:

[0051] ;

[0052] ;

[0053] in, 、 They are the output power range correction data of electromechanical equipment The minimum and maximum values ​​of Correction data used to limit the updated position of the motor equipment output power search particle to the electromechanical equipment output power range within the scope;

[0054] S819, determine whether the maximum number of iterations T is reached, if not, return to S814, if so, output Corresponding electromechanical equipment output power, generating optimal efficiency electromechanical equipment output power analysis data .

[0055] Beneficial effects

[0056] First, compared with the existing technology, the ship electromechanical integrated information monitoring system provided by the present invention analyzes the relationship between the current efficiency and output power of the electromechanical equipment according to the working status of the electromechanical equipment by setting an electromechanical equipment efficiency-power module, an inertial sensor module, a ship water flow speed calculation module, an error speed calculation module, an electromechanical equipment output power correction module and a comprehensive analysis and management module, so as to achieve the effect of energy saving and cost reduction by analyzing the output power of the electromechanical equipment with the highest efficiency within the planned speed range of the ship.

[0057] Second, compared with the existing technology, the ship electromechanical integrated information monitoring system provided by the present invention can judge the working status of the electromechanical equipment on the ship by setting up an electromechanical equipment status monitoring module and an electromechanical equipment status judgment module, and push and warn content through the comprehensive analysis management module and the multi-screen combination information comprehensive display module composed of a joint display screen and an integrated command display unit, so as to provide management personnel with comprehensive and real-time display push, alarm display and auxiliary decision support based on the ship comprehensive information monitoring management data G, so as to improve the situation information perception capability. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0059] Figure 1 A block diagram of the system structure provided by an embodiment of the present invention;

[0060] Figure 2 A diagram of the system working steps provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0061] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0062] Example embodiments will be described more fully hereinafter with reference to the accompanying drawings, but the example embodiments may be embodied in different forms and should not be construed as 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 this disclosure to those skilled in the art.

[0063] In the absence of conflict, the various embodiments of the present disclosure and the various features therein may 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 used only to describe specific embodiments and are not intended to limit the present disclosure. As used herein, the singular forms "a," "an," and "the" are also intended to include the plural forms, unless the context clearly indicates otherwise. It will also be understood that when the terms "comprising" and / or "made of" are used in this specification, the presence of the features, wholes, steps, operations, elements, and / or components is specified, but the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groups thereof is not excluded.

[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, Indicates the maximum number of ship inertial data categories, where the ship inertial data categories can include acceleration, pitch, shock, vibration, rotation, and multi-degree-of-freedom (DoF) motion.

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

[0091] S51. Collect historical data on the output power of the ship's electromechanical equipment, ship load, transmission efficiency, propeller efficiency, and ship's speed against water, conduct regression analysis on the relationship between the ship's speed against water, the output power of the electromechanical equipment, and the ship's load, and generate a ship's speed against water-power-load model.

[0092] In this step, when establishing the regression model, it is also necessary to consider the influence of transmission efficiency and propeller efficiency on the water velocity, and obtain a model, for example:

[0093] ;

[0094] in, is approximately the error term, to is the influence coefficient of the corresponding item, 、 are transmission efficiency and propeller efficiency respectively, and M is the ship's deadweight. 、 The efficiency corresponding to the working status data set A of the electromechanical equipment can be get.

[0095] S52: Collect ship load data M through the pressure sensor, and obtain ship main engine output power data through the electromechanical equipment working status data set A. , transmission efficiency and propeller efficiency ;

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

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

[0098] S61, based on ship inertial data The ship speed is calculated and processed based on the relationship of changes over time to generate ship speed data V;

[0099] S62, based on the ship speed data V and the ship's water flow speed data , calculate the ship error speed and generate ship error speed data ,in , V, and are velocity vectors.

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

[0101] S71. Collect ship's planned sailing speed interval data ;

[0102] S72, based on ship error speed data and ship's planned sailing speed interval data , calculate and process the water current speed of the ship sailing at the planned sailing speed, and generate the ship's planned water current speed interval data ;

[0103] S73, ship plan to water speed interval data , ship load data M, transmission efficiency and propeller efficiency Input the ship's water velocity-power load model to generate the output power range correction data of the electromechanical equipment .

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

[0105] S81. Efficiency-power regression model of electromechanical equipment corresponding to ship main engine Correction data of electromechanical equipment output power range The corresponding interval is searched for the output power of the electromechanical equipment when the electromechanical equipment efficiency is the highest, and the output power analysis data of the electromechanical equipment with the best efficiency is generated, including the following steps:

[0106] S811. Initialize algorithm parameters, electromechanical equipment output power search particle population size N, maximum number of iterations T, and congestion threshold ;

[0107] S812, correct data in the output power range of electromechanical equipment In the corresponding interval, N electromechanical equipment output power search particles are randomly generated;

[0108] S813, calculating the fitness value of the search particle for the output power of each motor device;

[0109] S814. Calculate the Euclidean distance between each motor device output power search particle i and other motor device output power search particles j. The formula is as follows:

[0110] ;

[0111] in, Indicates the output power of the motor device to search for the position of particle i, Indicates the position of the motor device output power search particle j;

[0112] S815, count the output power of each motor device and search for particles i that meet the requirements The output power of other motor devices is used to search for the number of particles j and generate the number of neighboring particles data. , The judgment radius of the set congestion threshold;

[0113] S816, Judgment Is it greater than the congestion threshold? , if so, reduce the local learning factor , increase the inertia weight w, the formula is as follows:

[0114] Reduce the learning factor:

[0115] ;

[0116] Increase inertia weight:

[0117] ;

[0118] S817. Update the motor device output power to search for particle velocity. The formula is as follows:

[0119] ,

[0120] Where t represents the current iteration number, represents the global learning factor, 、 for A random number uniformly distributed on Represents the historical best fitness position of the motor device output power search particle i, Represents the position of the best fitness among all motor equipment output power search particles, where the higher the fitness, the higher the efficiency of the corresponding electromechanical equipment;

[0121] S818, the motor device output power search particle moves to the new position with the updated motor device output power search particle speed, and calculates the fitness value of each motor device output power search particle, and 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 no doubt numerous modifications and alterations thereto will be apparent to those skilled in the art. Accordingly, the above description is intended for purposes of illustration only and should not be construed as limiting the scope of the application.

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 of electromechanical equipment efficiency and power based on the working status data of the electromechanical equipment and generate an electromechanical equipment efficiency-power regression model; The ship's water velocity calculation module is used to calculate the ship's water velocity based on the working status data of the electromechanical equipment, the ship's deadweight data and the ship's water velocity-power load model to generate the ship's water velocity data; Inertial sensor module, used to collect ship inertial data; an error speed calculation module, configured to calculate and process the ship error speed based on the ship inertia data and the ship's velocity data relative to the water flow, and generate ship error speed data; an electromechanical equipment output power correction module, configured to analyze and process the electromechanical equipment power interval data when the ship is sailing in the planned sailing speed interval data based on the ship error speed data, the ship planned sailing speed interval data, and the ship's water velocity-power load model, and generate electromechanical equipment output power interval correction data; The comprehensive analysis management module is used to perform electromechanical equipment output power analysis processing at the maximum efficiency within 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.

2. The ship electromechanical integrated information monitoring system according to claim 1, characterized in that: The electromechanical equipment status monitoring module is used to collect the working status data of the electromechanical equipment: , , Represents the working status data of the w-th electromechanical equipment, Indicates the maximum number of electromechanical devices, express Working status data of Class U electromechanical equipment, The maximum number of data types representing the operating status of electromechanical equipment.

3. The ship electromechanical integrated information monitoring system according to claim 2, characterized in that: The electromechanical equipment state judgment module is used to analyze and process whether the electromechanical equipment working state is abnormal based on the electromechanical equipment working state data, specifically in the following manner: Collect the abnormal state type and state feature data of electromechanical equipment and generate the abnormal state type and state feature data set of electromechanical equipment , , Indicates the abnormal state type and state characteristic data of the qth type of electromechanical equipment, Indicates the maximum number of abnormal status types of electromechanical equipment; Search the abnormal state type state feature data set C of the electromechanical equipment for the state feature data of the electromechanical equipment working state data Matching abnormal state type and state characteristic data of electromechanical equipment ,like No matching , then the The corresponding electromechanical equipment is normal, otherwise, the electromechanical equipment is abnormal and outputs 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 the electromechanical equipment efficiency-power regression model in the following manner: By performing efficiency-power regression analysis on the working status data of electromechanical equipment, an electromechanical equipment efficiency-power regression model is generated. ; The electromechanical equipment efficiency-power regression model Collect and generate a set of electromechanical equipment efficiency-power regression models .

5. The ship electromechanical integrated information monitoring system according to claim 1 or 4, characterized in that: The specific method for the ship-to-water-speed calculation module to generate the ship-to-water-speed data is as follows: Collect historical data on the output power of the ship's electromechanical equipment, ship load, transmission efficiency, propeller efficiency, and ship's speed against water. Perform regression analysis on the relationship between the ship's speed against water, the output power of the electromechanical equipment, and the ship's load to generate a ship's speed against water-power-load model. Collect ship load data M and obtain ship main engine output power data through electromechanical equipment working status data set A , transmission efficiency and propeller efficiency ; The ship's deadweight data M, the ship's main engine output power data , transmission efficiency and propeller efficiency Input the ship's water velocity-power load model to calculate the ship's water velocity data. .

6. The ship electromechanical integrated information monitoring system according to claim 5, characterized in that: The ship's water velocity-power load model is: ； in, is the error term, to is the influence coefficient of the corresponding item.

7. The ship electromechanical integrated information monitoring system according to claim 6, characterized in that: The specific method for the error speed calculation module to generate the ship error speed data is: Based on ship inertial data The ship speed is calculated and processed based on the relationship of changes over time to generate ship speed data V; Based on the ship speed data V and the ship's water current speed data , calculate the ship error speed and generate ship error speed data .

8. The ship electromechanical integrated information monitoring system according to claim 1 or 7, characterized in that: The specific method of the electromechanical equipment output power correction module generating the electromechanical equipment output power interval correction data is: Collect ship's planned sailing speed interval data ; Based on ship error speed data and ship's planned sailing speed interval data , calculate the water flow speed when the ship is sailing at the planned sailing speed, and generate the ship's planned water flow speed interval data ; The ship plan is used to calculate the water speed interval data , the ship's load data M, transmission efficiency and propeller efficiency Input the ship's water velocity-power load model to generate the electromechanical equipment output power interval correction data .

9. The ship electromechanical integrated information monitoring system according to claim 8, characterized in that: The specific method for the comprehensive analysis management module to generate the optimal efficiency electromechanical equipment output power analysis data is as follows: In the electromechanical equipment efficiency-power regression model corresponding to the ship's main engine Correction data of electromechanical equipment output power range In the corresponding interval, search for the output power of the electromechanical equipment when the electromechanical equipment efficiency is the highest, and generate the output power analysis data of the electromechanical equipment with the best efficiency ; The electromechanical equipment working status data set A and electromechanical equipment abnormal status type analysis data , ship inertia data set D, ship speed data V and optimal efficiency electromechanical equipment output power analysis data Collect and combine to generate ship comprehensive information monitoring and management data G; Perform monitoring information feedback operations based on the ship comprehensive information monitoring and management data G, and analyze the output power of the electromechanical equipment with the best efficiency in the ship comprehensive information monitoring and management data G. Perform ship main engine power adjustment operations.

10. The ship electromechanical integrated information monitoring system according to claim 9, characterized in that: The specific process of generating optimal efficiency electromechanical equipment output power analysis data is as follows: S811. Initialize algorithm parameters, electromechanical equipment output power search particle population size N, maximum number of iterations T, and congestion threshold ; S812: Correcting data in the electromechanical equipment output power range In the corresponding interval, N electromechanical equipment output power search particles are randomly generated; S813, calculating the fitness value of the search particle 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, count the output power of each motor device and search for particles i that meet the requirements The output power of other motor devices is used to search for the number of particles j and generate the number of neighboring particles data. , The judgment radius of the set congestion threshold; S816, judging the Is it greater than the congestion threshold? , if so, reduce the local learning factor , increase the inertia weight w, the formula is as follows: Reduce the learning factor: ； Increase inertia weight: ； S817. Update the motor device output power to search for particle velocity. The formula is as follows: ； Where t represents the current iteration number, represents the global learning factor, 、 for A random number uniformly distributed on Represents the historical best fitness position of the motor device output power search particle i, Represents the position of the best fitness among all motor equipment output power search particles, where the higher the fitness, the higher the efficiency of the corresponding electromechanical equipment; S818, the motor device output power search particle moves to the new position with the updated motor device output power search particle speed, and calculates the fitness value of each motor device output power search particle, and updates and , the position update formula is as follows: ； ； in, 、 They are the output power range correction data of electromechanical equipment The minimum and maximum values ​​of Correction data used to limit the updated position of the motor equipment output power search particle to the electromechanical equipment output power range within the scope; S819, determine whether the maximum number of iterations T is reached, if not, return to S814, if so, output Corresponding electromechanical equipment output power, generating optimal efficiency electromechanical equipment output power analysis data .

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