Marine machinery working performance evaluation method and device and electronic equipment

Abstract

The invention relates to the technical field of ship engineering and performance monitoring, in particular to a ship machinery working performance evaluation method and device and electronic equipment. According to the technical scheme, the method comprises the steps of obtaining multi-dimensional evaluation parameters of the ship machinery, wherein the multi-dimensional evaluation parameters comprise fuel economy, navigation efficiency, propulsion performance and power system stability; the result of each evaluation dimension is calculated based on a preset algorithm, the result is visually displayed in a radar map form, a user can select a specific dimension on a map to check detailed parameters and historical trends, rapid positioning of performance anomalies is achieved, and the corresponding device comprises a parameter acquisition module, a result calculation module and a visual display module. The electronic equipment implements the method by executing a program through a processor. Through multi-dimensional comprehensive evaluation and visual interaction analysis, comprehensive, visual and accurate evaluation and efficient problem positioning of the working performance of the ship machinery are realized, and the operation management and decision-making efficiency is remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of marine engineering and performance monitoring technology, and in particular to a method, apparatus and electronic equipment for evaluating the working performance of marine machinery. Background Technology

[0002] The operational performance of marine machinery is a core element in ensuring safe ship operation, improving economic efficiency, and meeting environmental protection requirements. Traditional methods for evaluating marine machinery performance typically focus on single performance indicators, such as the main engine's power output or total fuel consumption, lacking a multi-dimensional and systematic analysis of the ship's overall operating status. For example, examining only fuel consumption while ignoring navigation efficiency, or monitoring only fault-free equipment operation while neglecting the stability of the electrical system, fails to accurately and comprehensively reflect the overall performance level of the marine machinery.

[0003] Some performance monitoring systems have been applied in the existing technology, but they generally have the following shortcomings: First, the evaluation dimensions are single. Existing evaluation methods mostly conduct independent analysis on a single subsystem (such as propulsion system, power generation system or fuel system), lacking consideration of the correlation and comprehensive impact between different systems, and making it difficult to fully reflect the operating status of the entire ship's mechanical system. Secondly, the evaluation results are poorly readable. The evaluation results are usually output in the form of data reports, alarm information or statistical values. Decision-makers need to rely on professional knowledge to conduct complex data comparison and analysis, which is inefficient and lacks intuitiveness. Furthermore, the lack of systematic diagnostic capabilities means that existing systems often only provide symptom-based warnings of performance anomalies, failing to pinpoint the root cause of the performance decline. For example, when ship fuel consumption increases, it is difficult to determine whether it is due to decreased propulsion performance, uneven power load distribution, or inadequate route planning. Finally, the real-time performance and interactivity are insufficient. Although some monitoring systems have data acquisition capabilities, they lack visualization and interactive analysis methods, making it impossible to dynamically track performance trends and drill down into problems.

[0004] Therefore, we propose a method, device, and electronic equipment for evaluating the working performance of ship machinery to address the existing problems. Summary of the Invention

[0005] The purpose of this invention is to address the problems existing in the background art by proposing a method, device, and electronic equipment for evaluating the working performance of ship machinery.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for evaluating the working performance of ship machinery, comprising the following steps: Step S100: Obtain the evaluation parameters of the ship's machinery. The evaluation parameters include fuel economy parameters, navigation efficiency parameters, propulsion performance parameters, and electrical system stability parameters. The evaluation parameters are collected in real time and periodically through ship sensors, monitoring systems, and manual input. Step S200: Based on the evaluation parameters, the evaluation results of the ship machinery under each evaluation dimension are calculated through preset calculation rules and algorithms. The evaluation dimensions include fuel economy performance dimension, navigation efficiency dimension, propulsion performance dimension and power system stability performance dimension. Step S300: Visualize the evaluation results of each evaluation dimension in the performance evaluation chart. The performance evaluation chart is a radar chart, where each coordinate axis represents an evaluation dimension, and the display format of the radar chart supports custom adjustment.

[0007] Preferably, in step S100, the fuel economy parameter includes fuel consumption per unit of transport volume; The navigation efficiency parameters include speed maintenance rate, route optimization degree, and on-time rate; The propulsion performance parameters include the failure rates of the main unit and auxiliary units; The power system stability parameters include generator load distribution deviation rate and voltage-frequency deviation rate.

[0008] Preferably, in step S200, the calculation of the evaluation results of the ship machinery under each evaluation dimension includes: For the aforementioned fuel economy performance dimension, based on the fuel consumption per unit of transport volume, its ratio and deviation from a preset standard value are calculated, and a fuel economy performance score is generated based on the ratio and deviation; specifically, the fuel economy performance score is calculated using the following mathematical function: in, Indicates fuel economy performance score, This indicates the fuel consumption per unit of transport volume. The formula represents a preset standard value. It evaluates fuel economy by calculating the relative deviation between actual fuel consumption and the standard value. The higher the score, the better the fuel economy performance. The absolute value calculation in the formula ensures symmetrical treatment of the deviation, so that the score can intuitively reflect the degree of closeness between the performance and the standard.

[0009] For the aforementioned flight efficiency dimension, a comprehensive flight efficiency score is obtained by weighting the speed maintenance rate, route optimization degree, and punctuality rate using preset weights; specifically, the flight efficiency score is calculated using the following mathematical function: in, Indicates the sailing efficiency score. Indicates the speed maintenance rate. Indicates the degree of route optimization. Indicates punctuality rate, , , Each represents a corresponding preset weight, and satisfies the following conditions: + + =1. This formula comprehensively evaluates navigation efficiency through weighted average. The higher the score, the higher the navigation efficiency. The weights reflect the importance of each parameter to the overall efficiency, ensuring the rationality of the evaluation results.

[0010] For the propulsion performance dimension, based on the failure rates of the main unit and auxiliary units, a comparison result with a preset threshold is calculated, and a propulsion performance score is generated based on the comparison result; specifically, the propulsion performance score is calculated using the following mathematical function: in, Indicates the performance score. Indicates host failure rate, This indicates the auxiliary equipment failure rate. This indicates the preset threshold for host failure rate. The formula represents the preset threshold for auxiliary machine failure rate. It evaluates propulsion performance by the ratio of failure rate to threshold. A higher score indicates a lower failure rate and better performance. The formula uses a product form to consider the failure impact of both main and auxiliary machines, ensuring that an excessive failure rate on either side will lead to a decrease in the score, thus comprehensively reflecting the reliability of the propulsion system.

[0011] For the aforementioned power system stability performance dimension, a comprehensive power system stability score is obtained by weighting the generator load distribution deviation rate and voltage-frequency deviation rate using preset weights. Specifically, the power system stability score is calculated using the following mathematical function: in, Indicates the stability score of the power system. Indicates the generator load distribution deviation rate. Indicates the voltage-frequency deviation rate. and These represent the corresponding preset weights, and satisfy the following conditions: + =1, this formula assesses stability using a weighted average of the complements of the deviation rates; a higher score indicates a more stable system. In the formula... and By converting the deviation rate into a stability metric, weighting allows for adjustments to the importance of each parameter based on actual system requirements.

[0012] Preferably, the method further includes step S400, in response to the user's selection operation of a specific evaluation dimension on the performance evaluation chart, displaying detailed evaluation parameters and a historical trend chart related to the evaluation dimension; wherein, the historical trend chart is used to show the change of the evaluation result under the evaluation dimension over time.

[0013] A device for evaluating the working performance of marine machinery, comprising: The parameter acquisition module is used to acquire evaluation parameters for marine machinery. The result calculation module is used to calculate the evaluation results of the ship machinery under each evaluation dimension based on the evaluation parameters. The visualization module is used to visualize the evaluation results of each evaluation dimension in the performance evaluation chart.

[0014] Preferably, the visualization module is further configured to display detailed evaluation parameters, historical trend curves, and anomaly warning information corresponding to a specific evaluation dimension when the user selects that dimension; wherein the anomaly warning information is automatically generated based on the comparison between the evaluation result and a preset threshold.

[0015] An electronic device for evaluating the working performance of marine machinery, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the method as described in any one of claims 1 to 4.

[0016] Preferably, the electronic device can be any one of a shipboard computer, a server, or a cloud computing platform.

[0017] Preferably, the electronic device further includes a communication interface for data communication with sensors and systems on the ship to achieve real-time acquisition and transmission of evaluation parameters.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: With comprehensive evaluation dimensions and more accurate results, this invention establishes a comprehensive evaluation model that integrates multiple parameters based on four core dimensions: fuel economy performance, navigation efficiency, propulsion performance, and power system stability. Through multi-dimensional calculations and standardized scoring, it can comprehensively and objectively reflect the overall working status of ship machinery, avoid the one-sidedness caused by a single indicator, and significantly improve the accuracy and reliability of the evaluation. The visualization is intuitive and the decision-making efficiency is high. This invention uses radar charts as the core display carrier to present the evaluation results of various dimensions in a graphical way. Managers can intuitively grasp the distribution of performance advantages and disadvantages and the overall performance through changes in the shape and area of ​​the radar chart. They can quickly judge the operating status of ship machinery without complicated data interpretation, which significantly improves the speed of decision response. It supports interactive analysis and efficiently locates problems. By adding interactive functions to the visualization charts, users can click on any performance dimension to view detailed parameters and historical trend charts, quickly identify performance fluctuations and sources of anomalies, realize closed-loop analysis from overall assessment to problem location, greatly improve the efficiency of performance diagnosis and optimization, and quickly trace the root cause of performance anomalies, providing a clear direction for subsequent maintenance and optimization. By dynamically monitoring and comprehensively evaluating multi-dimensional performance, managers can promptly identify problems such as low energy efficiency, equipment malfunctions, or unreasonable operation, thereby guiding energy-saving navigation strategies, optimizing equipment maintenance plans, and power distribution strategies, ultimately achieving the goals of reducing operating costs, improving navigation safety, and enhancing overall economic benefits. Attached Figure Description

[0019] Figure 1 This is a flowchart of the ship machinery performance evaluation method of the present invention; Figure 2 This is an exemplary display diagram of the radar chart for evaluating the working performance of the present invention; Figure 3 This is a structural block diagram of the ship machinery performance evaluation device of the present invention; Figure 4 This is a structural block diagram of the electronic device of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0021] like Figure 1 and Figure 2 As shown, the present invention proposes a method for evaluating the working performance of ship machinery, which includes the following steps: Step S100: Obtain the evaluation parameters of the ship's machinery. Evaluation parameters are collected in real time or periodically from multiple data sources, specifically including: Fuel economy parameters Fuel consumption, voyage mileage, and cargo deadweight tons (or number of passengers) are obtained through fuel flow meters, cargo management systems, and voyage logs. Fuel consumption per unit of transport volume (in grams per ton-nautical mile) is calculated using the following formula: Fuel consumption per unit of transport volume = Total fuel consumption / (Cargo deadweight tons × Voyage mileage). Sailing efficiency parameters Speed ​​maintenance rate: The planned speed and actual average speed are obtained from the ship's navigation planning system and GPS positioning system, and calculated as (actual speed / planned speed) × 100%; Route optimization degree: Obtain the mileage deviation rate or time deviation rate between the actual route and the theoretical optimal route from the meteorological route system or the air traffic management system. The calculation formula is: Route optimization degree = (1 - |actual mileage - optimal mileage| / optimal mileage) × 100%; On-time rate: Based on the planned arrival time of the vessel scheduling system and the actual arrival time automatically recorded by AIS / GPS and confirmed by the crew in the system, the on-time rate is calculated as the proportion of the total number of voyages. Propulsion performance parameters The failure rate is calculated by obtaining the number of unplanned downtimes and total maintenance time of the main engine and auxiliary engines within the statistical period from the cabin monitoring system and equipment maintenance records. The failure rate can be defined as: Failure rate = (Number of unplanned downtimes / Total operating time) × 100%, or calculated based on the proportion of maintenance time.

[0022] Power system stability parameters Generator load distribution deviation rate: When multiple generators are running in parallel, the load power of each generator is monitored in real time by power sensors, and the maximum deviation between the load rate of each unit and the average load rate is calculated. The calculation formula is: Load distribution deviation rate = |Single generator load rate - Average load rate| / Average load rate × 100%; Voltage-frequency deviation rate: The fluctuation range of voltage and frequency data from the rated value is calculated by acquiring voltage and frequency data through power grid monitoring devices. For example, voltage deviation rate = |actual voltage - rated voltage| / rated voltage × 100%, and frequency deviation rate is similar.

[0023] Data acquisition methods include ship sensors (such as flow meters, speed sensors, GPS, power analyzers, etc.), monitoring systems (such as engine room automation systems, ship management systems, PMS), and manual input (such as maintenance record entry). The acquisition frequency can be set to real-time, hourly, or daily as needed.

[0024] Step S200: Calculate the evaluation results for each evaluation dimension. The collected evaluation parameters are preprocessed (e.g., data cleaning, normalization), and then the evaluation results for each dimension are calculated using a preset algorithm. The results are usually converted into scores or grades (e.g., excellent, good, average, poor). Fuel economy performance rating The fuel consumption per unit of transport volume is calculated relative to the preset standard value using the following formula: This formula assesses fuel economy by calculating the relative deviation between actual fuel consumption and standard values, and the score can intuitively reflect how close the performance is to the standard.

[0025] Navigation efficiency dimension score Weights were assigned to speed maintenance rate, route optimization, and punctuality rate, and a comprehensive score was calculated using a weighted average. The calculation formula is as follows: This formula comprehensively evaluates navigation efficiency through a weighted average, with the weights reflecting the importance of each parameter to the overall efficiency.

[0026] Performance dimension scoring The failure rates of the main unit and auxiliary unit are compared with preset thresholds and calculated using the following formula: This formula uses a product form to consider the impact of failures in both the main unit and the auxiliary unit, ensuring that if the failure rate of either part exceeds the limit, the score will drop significantly, thus comprehensively reflecting the reliability of the propulsion system.

[0027] Power system stability performance dimension score Based on the generator load distribution deviation rate and voltage-frequency deviation rate, a weighted calculation is performed using preset weights. The calculation formula is as follows: This formula converts the deviation rate into a stability index and then uses a weighted average; the higher the score, the more stable the system.

[0028] Step S300: Visualize the performance evaluation chart. A radar chart is generated as a performance evaluation map. The radar chart includes four coordinate axes, representing four evaluation dimensions: fuel economy, navigation efficiency, propulsion performance, and electric system stability. The scores for each dimension calculated in step S200 are plotted on the corresponding coordinate axes, and the points are connected to form closed polygons. The display format of the radar chart supports custom adjustments, for example: Users can adjust the range of the coordinate axes; You can set a color theme (e.g., green for excellent, red for poor); Reference lines (such as historical averages or target lines) can be added for comparison; This visualization method intuitively shows the overall performance balance: the larger the polygon area and the more balanced the shape, the better the performance.

[0029] Step S400: Provide interactive drilling functionality To facilitate in-depth diagnostics, the system provides an interactive drill-down function. In response to a user's click or selection of a specific evaluation dimension on the radar chart, the system dynamically displays detailed information related to that dimension, including: For the fuel economy performance dimension, it displays the current fuel consumption per unit of transportation volume, a comparison with historical standard values, and historical trend graphs (such as the fuel consumption change curve over the past 30 days). For other dimensions, detailed parameters and historical trends are displayed similarly. For example, when selecting the flight efficiency dimension, you can view detailed data and historical curves for speed maintenance rate, route optimization, and punctuality rate. The system can also automatically generate abnormal warning information based on the comparison between the evaluation results and preset thresholds (such as highlighting dimensions with scores below 60). This embodiment helps users quickly grasp the overall performance of ship machinery and pinpoint specific problems through multi-dimensional data fusion and visual interaction.

[0030] Example 2 like Figure 3 As shown, the present invention proposes a ship machinery performance evaluation device, which can be integrated into a shipboard computer or shore-based management platform in a software, hardware, or a combination of both. The device 300 includes the following modules: Parameter Acquisition Module 310: Used to acquire evaluation parameters of ship machinery. This module connects to ship sensors (such as fuel flow meters, GPS sensors, and power sensors), monitoring systems (such as engine room automation systems and PMS), and manual input interfaces to achieve real-time or periodic data collection. The module includes a data parsing unit for extracting fuel economy parameters, navigation efficiency parameters, propulsion performance parameters, and electrical system stability parameters from raw data, and performing preliminary verification and formatting. Result Calculation Module 320: Used to calculate the evaluation results for each evaluation dimension based on the evaluation parameters. This module includes: Scoring calculation unit: Calculates scores for each dimension based on a preset algorithm (such as weighted average or threshold comparison); Data standardization unit: converts raw parameters into score values ​​with uniform dimensions; Storage unit: Temporarily stores intermediate calculation results and historical data; Visualization module 330: Used to generate and display performance evaluation charts (radar charts) and provide interactive functions. This module includes: Chart generation unit: Dynamically generates radar charts based on scoring results, supporting custom axes and style adjustments; Interaction processing unit: Responds to user actions (such as clicks or hovers) and triggers the display of details; Detailed Display Unit: Displays detailed evaluation parameters, historical trend charts, and anomaly warning information for specific dimensions. The historical trend chart shows the changes in evaluation results over time in the form of a line graph, and the anomaly warning information is automatically generated based on the comparison between the score and the threshold (such as pop-up warning prompts). The various modules of the device communicate with each other via a data bus or network interface. The device can be deployed on a shipboard terminal to achieve local performance monitoring, or integrated into a shore-based server for centralized fleet management.

[0031] Example 3 like Figure 4 As shown, the present invention proposes an electronic device for evaluating the working performance of marine machinery. The electronic device 400 includes: One or more processors 410: responsible for executing the computer program stored in memory to implement the steps of the evaluation method. The processor can be a general-purpose CPU, microprocessor, or application-specific integrated circuit (ASIC), suitable for interference-resistant designs in marine environments; Memory 420: Used to store one or more programs and data. The memory includes non-volatile storage media (such as hard disks or flash memory) and stores the following: Evaluation parameter database: records the collected raw parameters and historical data; Calculation rules and algorithms: including scoring calculation formulas, weight settings, and threshold configurations; Visual configuration information: such as radar chart style and color scheme; Computer program: When executed by a processor, implements the steps of the method described in Embodiment 1; Communication Interface 430: Used for data communication with ship sensors and external systems. The communication interface supports multiple protocols, such as CAN bus, Modbus, Ethernet, or wireless communication (such as satellite communication), enabling real-time acquisition and transmission of evaluation parameters. For example, it can connect to engine room sensors via CAN bus and access the ship management system via Ethernet.

[0032] The specific form of electronic device 400 may be: Shipboard computer: integrated into the ship's bridge or engine room to enable local real-time monitoring and evaluation; Servers: Deployed in shore-based data centers, they receive data from multiple ships and perform centralized analysis and storage; Cloud computing platform: Provides evaluation functions through cloud services, accessible to users via the web or mobile devices; When the device is in operation, the processor 410 executes the program, acquires evaluation parameters through the communication interface 430, calculates scores for each dimension, generates visual results, and outputs them through a display or network interface. Users can interact with the system through the device interface or a remote client.

[0033] The above specific embodiments are merely several preferred embodiments of the present invention. Based on the technical solutions of the present invention and the relevant teachings of the above embodiments, those skilled in the art can make various alternative improvements and combinations to the above specific embodiments.

[0034] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within the present invention.

Claims

1. A method for evaluating the working performance of ship machinery, characterized in that, Includes the following steps: Step S100: Obtain the evaluation parameters of the ship's machinery. The evaluation parameters include fuel economy parameters, navigation efficiency parameters, propulsion performance parameters, and electrical system stability parameters. The evaluation parameters are collected in real time and periodically through ship sensors, monitoring systems, and manual input. Step S200: Based on the evaluation parameters, the evaluation results of the ship machinery under each evaluation dimension are calculated through preset calculation rules and algorithms. The evaluation dimensions include fuel economy performance dimension, navigation efficiency dimension, propulsion performance dimension and power system stability performance dimension. Step S300: Visualize the evaluation results of each evaluation dimension in the performance evaluation chart. The performance evaluation chart is a radar chart, where each coordinate axis represents an evaluation dimension, and the display format of the radar chart supports custom adjustment.

2. The method for evaluating the working performance of ship machinery according to claim 1, characterized in that: In step S100, the fuel economy parameter includes fuel consumption per unit of transport volume; The navigation efficiency parameters include speed maintenance rate, route optimization degree, and on-time rate; The propulsion performance parameters include the failure rates of the main unit and auxiliary units; The power system stability parameters include generator load distribution deviation rate and voltage-frequency deviation rate.

3. The method for evaluating the working performance of ship machinery according to claim 1, characterized in that: In step S200, the calculated evaluation results of the ship machinery under each evaluation dimension include: For the fuel economy performance dimension, based on the fuel consumption per unit of transportation volume, the ratio and deviation of the fuel consumption per unit of transportation volume are calculated with respect to a preset standard value, and a fuel economy performance score is generated based on the ratio and deviation. For the aforementioned flight efficiency dimension, a comprehensive flight efficiency score is obtained by weighting the speed maintenance rate, route optimization degree, and punctuality rate using preset weights. For the propulsion performance dimension, based on the failure rates of the main unit and auxiliary units, a comparison result with a preset threshold is calculated, and a propulsion performance score is generated based on the comparison result. For the power system stability performance dimension, a comprehensive power system stability score is obtained by weighting the generator load distribution deviation rate and voltage frequency deviation rate with preset weights.

4. The method for evaluating the working performance of ship machinery according to claim 1, characterized in that: The method further includes step S400, in response to the user's selection operation of a specific evaluation dimension on the performance evaluation chart, displaying detailed evaluation parameters and historical trend charts related to the evaluation dimension; wherein, the historical trend chart is used to show the changes in the evaluation results over time under the evaluation dimension.

5. A device for evaluating the working performance of marine machinery, characterized in that, include: The parameter acquisition module is used to acquire evaluation parameters for marine machinery. The result calculation module is used to calculate the evaluation results of the ship machinery under each evaluation dimension based on the evaluation parameters. The visualization module is used to visualize the evaluation results of each evaluation dimension in the performance evaluation chart.

6. The marine machinery performance evaluation device according to claim 5, characterized in that: The visualization module is further used to display detailed evaluation parameters, historical trend curves, and anomaly warning information corresponding to a specific evaluation dimension when the user selects that dimension; wherein, the anomaly warning information is automatically generated based on the comparison between the evaluation result and a preset threshold.

7. An electronic device for evaluating the working performance of marine machinery, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the method as described in any one of claims 1 to 4.

8. The electronic device for evaluating the working performance of marine machinery according to claim 7, characterized in that: The electronic device can be any one of a shipboard computer, a server, or a cloud computing platform.

9. The electronic device for evaluating the working performance of marine machinery according to claim 7, characterized in that: The electronic device also includes a communication interface for data communication with sensors and systems on the ship to enable real-time acquisition and transmission of evaluation parameters.

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